2023-02-24 00:07:37,689 - mmseg - INFO - Multi-processing start method is `None` 2023-02-24 00:07:37,689 - mmseg - INFO - OpenCV num_threads is `44 2023-02-24 00:07:37,690 - mmseg - INFO - OMP num threads is 1 2023-02-24 00:07:38,026 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.1, V11.1.105 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 1.12.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0+cu113 OpenCV: 4.4.0 MMCV: 1.6.2 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.29.0+ ------------------------------------------------------------ 2023-02-24 00:07:38,026 - mmseg - INFO - Distributed training: True 2023-02-24 00:07:39,848 - mmseg - INFO - Config: dataset_type = 'CityscapesDataset' data_root = 'data/cityscapes/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (512, 1024) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict(type='Resize', img_scale=(2048, 1024), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 1024), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 1024), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 1024), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=4, workers_per_gpu=4, train=dict( type='CityscapesDataset', data_root='data/cityscapes/', img_dir='leftImg8bit/train', ann_dir='gtFine/train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), dict( type='Resize', img_scale=(2048, 1024), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 1024), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 1024), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='CityscapesDataset', data_root='data/cityscapes/', img_dir='leftImg8bit/val', ann_dir='gtFine/val', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 1024), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CityscapesDataset', data_root='data/cityscapes/', img_dir='leftImg8bit/val', ann_dir='gtFine/val', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 1024), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=6e-05, betas=(0.9, 0.999), weight_decay=0.01, paramwise_cfg=dict( custom_keys=dict( pos_block=dict(decay_mult=0.0), norm=dict(decay_mult=0.0), head=dict(lr_mult=1.0)))) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=16000) evaluation = dict( interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') custom_imports = dict(imports='mmcls.models', allow_failed_imports=False) checkpoint_file = 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth' norm_cfg = dict(type='SyncBN', requires_grad=True) backbone_norm_cfg = dict(type='LN', requires_grad=True) model = dict( type='DiffSegV20', bit_scale=0.01, pretrained=None, backbone=dict( type='mmcls.ConvNeXt', arch='base', out_indices=[0, 1, 2, 3], drop_path_rate=0.4, layer_scale_init_value=1.0, gap_before_final_norm=False, init_cfg=dict( type='Pretrained', checkpoint= 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth', prefix='backbone.')), neck=[ dict( type='FPN', in_channels=[128, 256, 512, 1024], out_channels=256, act_cfg=None, norm_cfg=dict(type='GN', num_groups=32), num_outs=4), dict( type='MultiStageMerging', in_channels=[256, 256, 256, 256], out_channels=256, kernel_size=1, norm_cfg=dict(type='GN', num_groups=32), act_cfg=None) ], auxiliary_head=dict( type='FCNHead', in_channels=256, in_index=0, channels=256, num_convs=1, concat_input=False, dropout_ratio=0.1, num_classes=19, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), decode_head=dict( type='DeformableHeadWithTime', in_channels=[256], channels=256, in_index=[0], dropout_ratio=0.0, num_classes=19, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, num_feature_levels=1, encoder=dict( type='DetrTransformerEncoder', num_layers=6, transformerlayers=dict( type='BaseTransformerLayer', use_time_mlp=True, attn_cfgs=dict( type='MultiScaleDeformableAttention', embed_dims=256, num_levels=1, num_heads=8, dropout=0.0), ffn_cfgs=dict( type='FFN', embed_dims=256, feedforward_channels=1024, ffn_drop=0.0, act_cfg=dict(type='GELU')), operation_order=('self_attn', 'norm', 'ffn', 'norm'))), positional_encoding=dict( type='SinePositionalEncoding', num_feats=128, normalize=True, offset=-0.5), loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), train_cfg=dict(), test_cfg=dict(mode='whole')) find_unused_parameters = True work_dir = 'local_work_dirs/cityscapes_final/deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/' gpu_ids = range(0, 4) auto_resume = True 2023-02-24 00:07:42,979 - mmseg - INFO - Set random seed to 1300338421, deterministic: True 2023-02-24 00:07:43,975 - mmseg - INFO - initialize ConvNeXt with init_cfg {'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth', 'prefix': 'backbone.'} 2023-02-24 00:08:19,542 - mmseg - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-02-24 00:08:19,570 - mmseg - INFO - initialize MultiStageMerging with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-02-24 00:08:19,640 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.downsample_layers.0.0.weight - torch.Size([128, 3, 4, 4]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.0.0.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.0.1.weight - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.0.1.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.1.0.weight - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.1.0.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.1.1.weight - torch.Size([256, 128, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.1.1.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.2.0.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.2.0.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.2.1.weight - torch.Size([512, 256, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.2.1.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.3.0.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.3.0.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.3.1.weight - torch.Size([1024, 512, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.downsample_layers.3.1.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.gamma - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.depthwise_conv.weight - torch.Size([128, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.depthwise_conv.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.norm.weight - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.norm.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.pointwise_conv1.weight - torch.Size([512, 128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.pointwise_conv1.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.pointwise_conv2.weight - torch.Size([128, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.0.pointwise_conv2.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.gamma - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.depthwise_conv.weight - torch.Size([128, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.depthwise_conv.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.norm.weight - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.norm.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.pointwise_conv1.weight - torch.Size([512, 128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.pointwise_conv1.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.pointwise_conv2.weight - torch.Size([128, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.1.pointwise_conv2.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.gamma - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.depthwise_conv.weight - torch.Size([128, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.depthwise_conv.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.norm.weight - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.norm.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.pointwise_conv1.weight - torch.Size([512, 128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.pointwise_conv1.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.pointwise_conv2.weight - torch.Size([128, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.0.2.pointwise_conv2.bias - torch.Size([128]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.gamma - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.depthwise_conv.weight - torch.Size([256, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.depthwise_conv.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.norm.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.norm.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.pointwise_conv1.weight - torch.Size([1024, 256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.pointwise_conv1.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.pointwise_conv2.weight - torch.Size([256, 1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.0.pointwise_conv2.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.gamma - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.depthwise_conv.weight - torch.Size([256, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.depthwise_conv.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.norm.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.norm.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.pointwise_conv1.weight - torch.Size([1024, 256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.pointwise_conv1.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.pointwise_conv2.weight - torch.Size([256, 1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.1.pointwise_conv2.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.gamma - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.depthwise_conv.weight - torch.Size([256, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.depthwise_conv.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.norm.weight - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.norm.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.pointwise_conv1.weight - torch.Size([1024, 256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.pointwise_conv1.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.pointwise_conv2.weight - torch.Size([256, 1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.1.2.pointwise_conv2.bias - torch.Size([256]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.0.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.1.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.2.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.3.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.4.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.5.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.6.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.7.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.8.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.9.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.10.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.11.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.12.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.13.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.14.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.15.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.16.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.17.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.18.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.19.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.20.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.21.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.22.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.23.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.24.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.25.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.gamma - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.depthwise_conv.weight - torch.Size([512, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.depthwise_conv.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.norm.weight - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.norm.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.pointwise_conv1.weight - torch.Size([2048, 512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.pointwise_conv1.bias - torch.Size([2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.pointwise_conv2.weight - torch.Size([512, 2048]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.2.26.pointwise_conv2.bias - torch.Size([512]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.gamma - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.depthwise_conv.weight - torch.Size([1024, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.depthwise_conv.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.norm.weight - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.norm.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.pointwise_conv1.weight - torch.Size([4096, 1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.pointwise_conv1.bias - torch.Size([4096]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.pointwise_conv2.weight - torch.Size([1024, 4096]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.0.pointwise_conv2.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.gamma - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.depthwise_conv.weight - torch.Size([1024, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.depthwise_conv.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.norm.weight - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.norm.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.pointwise_conv1.weight - torch.Size([4096, 1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.pointwise_conv1.bias - torch.Size([4096]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.pointwise_conv2.weight - torch.Size([1024, 4096]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.1.pointwise_conv2.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.gamma - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.depthwise_conv.weight - torch.Size([1024, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.depthwise_conv.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.norm.weight - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.norm.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.pointwise_conv1.weight - torch.Size([4096, 1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.pointwise_conv1.bias - torch.Size([4096]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.pointwise_conv2.weight - torch.Size([1024, 4096]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.stages.3.2.pointwise_conv2.bias - torch.Size([1024]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth backbone.norm0.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm0.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.0.conv.weight - torch.Size([256, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.lateral_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.1.conv.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.lateral_convs.1.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.1.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.2.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.lateral_convs.2.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.2.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.lateral_convs.3.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.3.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.fpn_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.fpn_convs.1.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.1.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.fpn_convs.2.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.2.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.0.fpn_convs.3.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.fpn_convs.3.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.1.down.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.1.down.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.1.down.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.conv_seg.weight - torch.Size([19, 256, 1, 1]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.conv_seg.bias - torch.Size([19]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.attentions.0.sampling_offsets.weight - torch.Size([64, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.attentions.0.sampling_offsets.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.attentions.0.attention_weights.weight - torch.Size([32, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.attentions.0.attention_weights.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.0.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.0.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.time_mlp.1.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.0.time_mlp.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.attentions.0.sampling_offsets.weight - torch.Size([64, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.attentions.0.sampling_offsets.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.attentions.0.attention_weights.weight - torch.Size([32, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.attentions.0.attention_weights.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.1.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.1.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.time_mlp.1.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.1.time_mlp.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.attentions.0.sampling_offsets.weight - torch.Size([64, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.attentions.0.sampling_offsets.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.attentions.0.attention_weights.weight - torch.Size([32, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.attentions.0.attention_weights.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.2.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.2.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.time_mlp.1.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.2.time_mlp.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.attentions.0.sampling_offsets.weight - torch.Size([64, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.attentions.0.sampling_offsets.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.attentions.0.attention_weights.weight - torch.Size([32, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.attentions.0.attention_weights.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.3.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.3.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.time_mlp.1.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.3.time_mlp.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.attentions.0.sampling_offsets.weight - torch.Size([64, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.attentions.0.sampling_offsets.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.attentions.0.attention_weights.weight - torch.Size([32, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.attentions.0.attention_weights.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.4.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.4.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.time_mlp.1.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.4.time_mlp.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.attentions.0.sampling_offsets.weight - torch.Size([64, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.attentions.0.sampling_offsets.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.attentions.0.attention_weights.weight - torch.Size([32, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.attentions.0.attention_weights.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.attentions.0.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.5.attentions.0.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.attentions.0.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.5.attentions.0.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.time_mlp.1.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.5.time_mlp.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in DeformableHeadWithTime decode_head.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 decode_head.encoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 auxiliary_head.conv_seg.weight - torch.Size([19, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 auxiliary_head.conv_seg.bias - torch.Size([19]): NormalInit: mean=0, std=0.01, bias=0 auxiliary_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of DiffSegV20 auxiliary_head.convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 auxiliary_head.convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 embedding_table.weight - torch.Size([20, 256]): The value is the same before and after calling `init_weights` of DiffSegV20 transform.conv.weight - torch.Size([256, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule transform.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of DiffSegV20 time_mlp.0.weights - torch.Size([8]): The value is the same before and after calling `init_weights` of DiffSegV20 time_mlp.1.weight - torch.Size([1024, 17]): The value is the same before and after calling `init_weights` of DiffSegV20 time_mlp.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 time_mlp.3.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of DiffSegV20 time_mlp.3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of DiffSegV20 2023-02-24 00:08:19,651 - mmseg - INFO - DiffSegV20( (backbone): ConvNeXt( (downsample_layers): ModuleList( (0): Sequential( (0): Conv2d(3, 128, kernel_size=(4, 4), stride=(4, 4)) (1): LayerNorm2d((128,), eps=1e-06, elementwise_affine=True) ) (1): Sequential( (0): LayerNorm2d((128,), eps=1e-05, elementwise_affine=True) (1): Conv2d(128, 256, kernel_size=(2, 2), stride=(2, 2)) ) (2): Sequential( (0): LayerNorm2d((256,), eps=1e-05, elementwise_affine=True) (1): Conv2d(256, 512, kernel_size=(2, 2), stride=(2, 2)) ) (3): Sequential( (0): LayerNorm2d((512,), eps=1e-05, elementwise_affine=True) (1): Conv2d(512, 1024, kernel_size=(2, 2), stride=(2, 2)) ) ) (stages): ModuleList( (0): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(128, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=128) (norm): LayerNorm2d((128,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=128, out_features=512, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=512, out_features=128, bias=True) (drop_path): Identity() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(128, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=128) (norm): LayerNorm2d((128,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=128, out_features=512, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=512, out_features=128, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(128, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=128) (norm): LayerNorm2d((128,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=128, out_features=512, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=512, out_features=128, bias=True) (drop_path): DropPath() ) ) (1): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(256, 256, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=256) (norm): LayerNorm2d((256,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1024, out_features=256, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(256, 256, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=256) (norm): LayerNorm2d((256,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1024, out_features=256, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(256, 256, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=256) (norm): LayerNorm2d((256,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1024, out_features=256, bias=True) (drop_path): DropPath() ) ) (2): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (3): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (4): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (5): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (6): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (7): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (8): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (9): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (10): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (11): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (12): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (13): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (14): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (15): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (16): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (17): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (18): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (19): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (20): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (21): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (22): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (23): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (24): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (25): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) (26): ConvNeXtBlock( (depthwise_conv): Conv2d(512, 512, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=512) (norm): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=2048, out_features=512, bias=True) (drop_path): DropPath() ) ) (3): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(1024, 1024, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1024) (norm): LayerNorm2d((1024,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(1024, 1024, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1024) (norm): LayerNorm2d((1024,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(1024, 1024, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1024) (norm): LayerNorm2d((1024,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() ) ) ) (norm0): LayerNorm2d((128,), eps=1e-06, elementwise_affine=True) (norm1): LayerNorm2d((256,), eps=1e-06, elementwise_affine=True) (norm2): LayerNorm2d((512,), eps=1e-06, elementwise_affine=True) (norm3): LayerNorm2d((1024,), eps=1e-06, elementwise_affine=True) ) init_cfg={'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-base_3rdparty_32xb128-noema_in1k_20220301-2a0ee547.pth', 'prefix': 'backbone.'} (neck): Sequential( (0): FPN( (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (3): ConvModule( (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) ) (fpn_convs): ModuleList( (0): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (3): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) ) ) init_cfg={'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} (1): MultiStageMerging( (down): ConvModule( (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) ) init_cfg={'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} ) (decode_head): DeformableHeadWithTime( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): Conv2d(256, 19, kernel_size=(1, 1), stride=(1, 1)) (encoder): DetrTransformerEncoder( (layers): ModuleList( (0): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=64, bias=True) (attention_weights): Linear(in_features=256, out_features=32, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (time_mlp): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=512, bias=True) ) (ffns): ModuleList( (0): FFN( (activate): GELU(approximate=none) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): GELU(approximate=none) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (1): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=64, bias=True) (attention_weights): Linear(in_features=256, out_features=32, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (time_mlp): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=512, bias=True) ) (ffns): ModuleList( (0): FFN( (activate): GELU(approximate=none) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): GELU(approximate=none) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (2): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=64, bias=True) (attention_weights): Linear(in_features=256, out_features=32, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (time_mlp): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=512, bias=True) ) (ffns): ModuleList( (0): FFN( (activate): GELU(approximate=none) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): GELU(approximate=none) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (3): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=64, bias=True) (attention_weights): Linear(in_features=256, out_features=32, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (time_mlp): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=512, bias=True) ) (ffns): ModuleList( (0): FFN( (activate): GELU(approximate=none) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): GELU(approximate=none) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (4): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=64, bias=True) (attention_weights): Linear(in_features=256, out_features=32, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (time_mlp): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=512, bias=True) ) (ffns): ModuleList( (0): FFN( (activate): GELU(approximate=none) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): GELU(approximate=none) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (5): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=64, bias=True) (attention_weights): Linear(in_features=256, out_features=32, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (time_mlp): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=512, bias=True) ) (ffns): ModuleList( (0): FFN( (activate): GELU(approximate=none) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): GELU(approximate=none) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) ) ) (positional_encoding): SinePositionalEncoding(num_feats=128, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) ) init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} (auxiliary_head): FCNHead( input_transform=None, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): Conv2d(256, 19, kernel_size=(1, 1), stride=(1, 1)) (dropout): Dropout2d(p=0.1, inplace=False) (convs): Sequential( (0): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) ) init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} (embedding_table): Embedding(20, 256) (transform): ConvModule( (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1)) ) (time_mlp): Sequential( (0): LearnedSinusoidalPosEmb() (1): Linear(in_features=17, out_features=1024, bias=True) (2): GELU(approximate=none) (3): Linear(in_features=1024, out_features=1024, bias=True) ) ) 2023-02-24 00:08:19,657 - mmseg - INFO - Model size:363.98 2023-02-24 00:08:20,253 - mmseg - INFO - Loaded 2975 images 2023-02-24 00:08:23,082 - mmseg - INFO - Loaded 500 images 2023-02-24 00:08:23,145 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) PolyLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-02-24 00:08:23,145 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-02-24 00:08:23,145 - mmseg - INFO - Checkpoints will be saved to /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20 by HardDiskBackend. 2023-02-24 00:10:05,151 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 2 days, 6:54:24, time: 1.236, data_time: 0.040, memory: 27881, decode.loss_ce: 2.9626, decode.acc_seg: 10.4975, aux.loss_ce: 1.1213, aux.acc_seg: 3.7601, loss: 4.0839 2023-02-24 00:11:01,538 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 2 days, 4:29:31, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 2.0027, decode.acc_seg: 37.5427, aux.loss_ce: 1.1102, aux.acc_seg: 5.4166, loss: 3.1129 2023-02-24 00:11:58,003 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 2 days, 3:41:38, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 1.3918, decode.acc_seg: 58.9894, aux.loss_ce: 1.0891, aux.acc_seg: 14.0745, loss: 2.4809 2023-02-24 00:12:59,404 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 2 days, 4:23:14, time: 1.228, data_time: 0.105, memory: 27881, decode.loss_ce: 0.9338, decode.acc_seg: 73.2114, aux.loss_ce: 1.0430, aux.acc_seg: 46.7360, loss: 1.9768 2023-02-24 00:13:55,851 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 2 days, 3:54:53, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.7648, decode.acc_seg: 77.1553, aux.loss_ce: 0.9611, aux.acc_seg: 67.4448, loss: 1.7260 2023-02-24 00:14:52,349 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 2 days, 3:36:12, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.6361, decode.acc_seg: 80.4039, aux.loss_ce: 0.8686, aux.acc_seg: 72.9549, loss: 1.5047 2023-02-24 00:15:49,311 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 2 days, 3:26:02, time: 1.139, data_time: 0.021, memory: 27881, decode.loss_ce: 0.5716, decode.acc_seg: 82.2393, aux.loss_ce: 0.7802, aux.acc_seg: 74.1669, loss: 1.3518 2023-02-24 00:16:50,039 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 2 days, 3:43:18, time: 1.215, data_time: 0.095, memory: 27881, decode.loss_ce: 0.5098, decode.acc_seg: 83.7616, aux.loss_ce: 0.7079, aux.acc_seg: 76.6233, loss: 1.2176 2023-02-24 00:17:46,517 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 2 days, 3:31:22, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.5216, decode.acc_seg: 83.3317, aux.loss_ce: 0.6567, aux.acc_seg: 75.8006, loss: 1.1782 2023-02-24 00:18:43,044 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 2 days, 3:21:53, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.4811, decode.acc_seg: 84.3113, aux.loss_ce: 0.6014, aux.acc_seg: 77.8750, loss: 1.0826 2023-02-24 00:19:39,677 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 2 days, 3:14:28, time: 1.133, data_time: 0.017, memory: 27881, decode.loss_ce: 0.4320, decode.acc_seg: 85.5806, aux.loss_ce: 0.5472, aux.acc_seg: 78.5297, loss: 0.9792 2023-02-24 00:20:39,323 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 2 days, 3:21:28, time: 1.193, data_time: 0.072, memory: 27881, decode.loss_ce: 0.4081, decode.acc_seg: 86.1898, aux.loss_ce: 0.5091, aux.acc_seg: 79.0796, loss: 0.9172 2023-02-24 00:21:35,733 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 2 days, 3:14:02, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.3878, decode.acc_seg: 86.9483, aux.loss_ce: 0.4610, aux.acc_seg: 81.3564, loss: 0.8487 2023-02-24 00:22:32,257 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 2 days, 3:07:56, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.3924, decode.acc_seg: 86.4971, aux.loss_ce: 0.4347, aux.acc_seg: 81.1580, loss: 0.8271 2023-02-24 00:23:32,720 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 2 days, 3:16:28, time: 1.209, data_time: 0.090, memory: 27881, decode.loss_ce: 0.3681, decode.acc_seg: 87.5254, aux.loss_ce: 0.3986, aux.acc_seg: 82.9238, loss: 0.7668 2023-02-24 00:24:29,368 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 2 days, 3:11:10, time: 1.133, data_time: 0.017, memory: 27881, decode.loss_ce: 0.3527, decode.acc_seg: 87.9391, aux.loss_ce: 0.3668, aux.acc_seg: 83.6072, loss: 0.7195 2023-02-24 00:25:25,748 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 2 days, 3:05:33, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.3460, decode.acc_seg: 87.9934, aux.loss_ce: 0.3447, aux.acc_seg: 83.6476, loss: 0.6907 2023-02-24 00:26:22,100 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 2 days, 3:00:19, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.3431, decode.acc_seg: 88.0819, aux.loss_ce: 0.3150, aux.acc_seg: 84.6447, loss: 0.6581 2023-02-24 00:27:21,942 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 2 days, 3:05:21, time: 1.197, data_time: 0.077, memory: 27881, decode.loss_ce: 0.3403, decode.acc_seg: 88.1916, aux.loss_ce: 0.3014, aux.acc_seg: 84.3008, loss: 0.6417 2023-02-24 00:28:18,305 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 00:28:18,306 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 2 days, 3:00:32, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.3259, decode.acc_seg: 88.8335, aux.loss_ce: 0.2788, aux.acc_seg: 84.9242, loss: 0.6047 2023-02-24 00:29:14,765 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 2 days, 2:56:18, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.3172, decode.acc_seg: 88.9762, aux.loss_ce: 0.2632, aux.acc_seg: 85.4901, loss: 0.5804 2023-02-24 00:30:11,234 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 2 days, 2:52:24, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.3217, decode.acc_seg: 88.7927, aux.loss_ce: 0.2521, aux.acc_seg: 85.4727, loss: 0.5738 2023-02-24 00:31:12,008 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 2 days, 2:58:42, time: 1.216, data_time: 0.096, memory: 27881, decode.loss_ce: 0.3116, decode.acc_seg: 89.0104, aux.loss_ce: 0.2419, aux.acc_seg: 85.5041, loss: 0.5536 2023-02-24 00:32:08,418 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 2 days, 2:54:44, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2838, decode.acc_seg: 90.0361, aux.loss_ce: 0.2259, aux.acc_seg: 86.5474, loss: 0.5096 2023-02-24 00:33:04,874 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 2 days, 2:51:08, time: 1.129, data_time: 0.014, memory: 27881, decode.loss_ce: 0.2886, decode.acc_seg: 89.8929, aux.loss_ce: 0.2135, aux.acc_seg: 86.7932, loss: 0.5021 2023-02-24 00:34:01,178 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 2 days, 2:47:24, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.3122, decode.acc_seg: 89.0752, aux.loss_ce: 0.2186, aux.acc_seg: 85.9016, loss: 0.5307 2023-02-24 00:35:01,361 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 2 days, 2:51:30, time: 1.204, data_time: 0.083, memory: 27881, decode.loss_ce: 0.2766, decode.acc_seg: 90.2876, aux.loss_ce: 0.1951, aux.acc_seg: 87.7143, loss: 0.4718 2023-02-24 00:35:57,667 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 2 days, 2:47:53, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2932, decode.acc_seg: 89.7482, aux.loss_ce: 0.1924, aux.acc_seg: 87.4445, loss: 0.4855 2023-02-24 00:36:55,892 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 2 days, 2:47:58, time: 1.164, data_time: 0.050, memory: 27881, decode.loss_ce: 0.2735, decode.acc_seg: 90.3912, aux.loss_ce: 0.1841, aux.acc_seg: 87.9506, loss: 0.4576 2023-02-24 00:37:55,950 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 2 days, 2:51:12, time: 1.201, data_time: 0.076, memory: 27881, decode.loss_ce: 0.2637, decode.acc_seg: 90.7836, aux.loss_ce: 0.1752, aux.acc_seg: 88.4717, loss: 0.4389 2023-02-24 00:38:52,436 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 2 days, 2:48:06, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2569, decode.acc_seg: 90.9657, aux.loss_ce: 0.1694, aux.acc_seg: 88.8366, loss: 0.4263 2023-02-24 00:39:48,920 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 2 days, 2:45:05, time: 1.129, data_time: 0.014, memory: 27881, decode.loss_ce: 0.2664, decode.acc_seg: 90.6345, aux.loss_ce: 0.1652, aux.acc_seg: 88.9159, loss: 0.4317 2023-02-24 00:40:45,247 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 2 days, 2:42:00, time: 1.127, data_time: 0.014, memory: 27881, decode.loss_ce: 0.2659, decode.acc_seg: 90.7224, aux.loss_ce: 0.1599, aux.acc_seg: 89.1837, loss: 0.4258 2023-02-24 00:41:45,530 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 2 days, 2:45:08, time: 1.206, data_time: 0.090, memory: 27881, decode.loss_ce: 0.2597, decode.acc_seg: 90.9723, aux.loss_ce: 0.1569, aux.acc_seg: 89.2785, loss: 0.4166 2023-02-24 00:42:41,892 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 2 days, 2:42:09, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2412, decode.acc_seg: 91.4725, aux.loss_ce: 0.1502, aux.acc_seg: 89.6236, loss: 0.3914 2023-02-24 00:43:38,224 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 2 days, 2:39:14, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2504, decode.acc_seg: 91.2890, aux.loss_ce: 0.1446, aux.acc_seg: 89.8495, loss: 0.3950 2023-02-24 00:44:35,105 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 2 days, 2:37:11, time: 1.138, data_time: 0.023, memory: 27881, decode.loss_ce: 0.2463, decode.acc_seg: 91.4294, aux.loss_ce: 0.1449, aux.acc_seg: 89.8011, loss: 0.3912 2023-02-24 00:45:35,103 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 2 days, 2:39:32, time: 1.200, data_time: 0.084, memory: 27881, decode.loss_ce: 0.2541, decode.acc_seg: 91.2271, aux.loss_ce: 0.1344, aux.acc_seg: 90.4661, loss: 0.3884 2023-02-24 00:46:31,482 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 2 days, 2:36:50, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2387, decode.acc_seg: 91.6490, aux.loss_ce: 0.1381, aux.acc_seg: 90.1060, loss: 0.3768 2023-02-24 00:47:27,877 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 00:47:27,878 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 2 days, 2:34:13, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2460, decode.acc_seg: 91.2948, aux.loss_ce: 0.1373, aux.acc_seg: 89.8722, loss: 0.3832 2023-02-24 00:48:28,621 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 2 days, 2:37:16, time: 1.215, data_time: 0.077, memory: 27881, decode.loss_ce: 0.2337, decode.acc_seg: 91.5628, aux.loss_ce: 0.1310, aux.acc_seg: 90.2745, loss: 0.3647 2023-02-24 00:49:25,338 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 2 days, 2:35:05, time: 1.134, data_time: 0.019, memory: 27881, decode.loss_ce: 0.2361, decode.acc_seg: 91.6529, aux.loss_ce: 0.1300, aux.acc_seg: 90.2781, loss: 0.3661 2023-02-24 00:50:21,700 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 2 days, 2:32:32, time: 1.127, data_time: 0.014, memory: 27881, decode.loss_ce: 0.2239, decode.acc_seg: 92.0834, aux.loss_ce: 0.1228, aux.acc_seg: 90.9665, loss: 0.3467 2023-02-24 00:51:17,986 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 2 days, 2:29:58, time: 1.126, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2387, decode.acc_seg: 91.6298, aux.loss_ce: 0.1280, aux.acc_seg: 90.4117, loss: 0.3667 2023-02-24 00:52:17,268 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 2 days, 2:30:58, time: 1.186, data_time: 0.068, memory: 27881, decode.loss_ce: 0.2127, decode.acc_seg: 92.3798, aux.loss_ce: 0.1205, aux.acc_seg: 90.9045, loss: 0.3332 2023-02-24 00:53:13,533 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 2 days, 2:28:26, time: 1.125, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2276, decode.acc_seg: 91.9599, aux.loss_ce: 0.1210, aux.acc_seg: 90.8251, loss: 0.3486 2023-02-24 00:54:10,266 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 2 days, 2:26:30, time: 1.135, data_time: 0.021, memory: 27881, decode.loss_ce: 0.2409, decode.acc_seg: 91.5162, aux.loss_ce: 0.1217, aux.acc_seg: 90.8031, loss: 0.3627 2023-02-24 00:55:06,608 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 2 days, 2:24:10, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2359, decode.acc_seg: 91.7387, aux.loss_ce: 0.1175, aux.acc_seg: 91.0802, loss: 0.3534 2023-02-24 00:56:06,204 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 2 days, 2:25:23, time: 1.192, data_time: 0.078, memory: 27881, decode.loss_ce: 0.2197, decode.acc_seg: 92.3341, aux.loss_ce: 0.1137, aux.acc_seg: 91.3716, loss: 0.3334 2023-02-24 00:57:02,580 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 2 days, 2:23:07, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2283, decode.acc_seg: 91.7934, aux.loss_ce: 0.1177, aux.acc_seg: 90.9082, loss: 0.3460 2023-02-24 00:57:58,947 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 2 days, 2:20:54, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2119, decode.acc_seg: 92.4070, aux.loss_ce: 0.1094, aux.acc_seg: 91.5874, loss: 0.3213 2023-02-24 00:58:55,552 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 2 days, 2:18:59, time: 1.132, data_time: 0.018, memory: 27881, decode.loss_ce: 0.2110, decode.acc_seg: 92.4736, aux.loss_ce: 0.1098, aux.acc_seg: 91.6315, loss: 0.3208 2023-02-24 00:59:55,095 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 2 days, 2:20:01, time: 1.191, data_time: 0.077, memory: 27881, decode.loss_ce: 0.2143, decode.acc_seg: 92.4354, aux.loss_ce: 0.1085, aux.acc_seg: 91.6948, loss: 0.3227 2023-02-24 01:00:51,450 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 2 days, 2:17:52, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2236, decode.acc_seg: 92.0453, aux.loss_ce: 0.1112, aux.acc_seg: 91.3461, loss: 0.3349 2023-02-24 01:01:47,744 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 2 days, 2:15:40, time: 1.125, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2156, decode.acc_seg: 92.3600, aux.loss_ce: 0.1070, aux.acc_seg: 91.6091, loss: 0.3226 2023-02-24 01:02:47,351 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 2 days, 2:16:40, time: 1.192, data_time: 0.078, memory: 27881, decode.loss_ce: 0.2122, decode.acc_seg: 92.5342, aux.loss_ce: 0.1039, aux.acc_seg: 91.8791, loss: 0.3161 2023-02-24 01:03:43,709 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 2 days, 2:14:36, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2144, decode.acc_seg: 92.4374, aux.loss_ce: 0.1053, aux.acc_seg: 91.8313, loss: 0.3197 2023-02-24 01:04:40,514 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 2 days, 2:12:58, time: 1.136, data_time: 0.022, memory: 27881, decode.loss_ce: 0.2118, decode.acc_seg: 92.4808, aux.loss_ce: 0.1037, aux.acc_seg: 91.8064, loss: 0.3155 2023-02-24 01:05:36,854 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 2 days, 2:10:57, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2054, decode.acc_seg: 92.7016, aux.loss_ce: 0.1003, aux.acc_seg: 92.1568, loss: 0.3057 2023-02-24 01:06:36,818 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 01:06:36,818 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 2 days, 2:12:08, time: 1.199, data_time: 0.086, memory: 27881, decode.loss_ce: 0.2063, decode.acc_seg: 92.7079, aux.loss_ce: 0.0983, aux.acc_seg: 92.1990, loss: 0.3047 2023-02-24 01:07:33,131 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 2 days, 2:10:06, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2120, decode.acc_seg: 92.3312, aux.loss_ce: 0.1018, aux.acc_seg: 91.8775, loss: 0.3137 2023-02-24 01:08:29,401 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 2 days, 2:08:04, time: 1.125, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2011, decode.acc_seg: 92.7986, aux.loss_ce: 0.0958, aux.acc_seg: 92.3203, loss: 0.2969 2023-02-24 01:09:25,774 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 2 days, 2:06:10, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2104, decode.acc_seg: 92.5955, aux.loss_ce: 0.0995, aux.acc_seg: 92.0426, loss: 0.3099 2023-02-24 01:10:25,149 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 2 days, 2:06:44, time: 1.188, data_time: 0.073, memory: 27881, decode.loss_ce: 0.2190, decode.acc_seg: 92.3622, aux.loss_ce: 0.1026, aux.acc_seg: 91.9258, loss: 0.3216 2023-02-24 01:11:21,593 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 2 days, 2:04:55, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1947, decode.acc_seg: 92.9939, aux.loss_ce: 0.0932, aux.acc_seg: 92.4503, loss: 0.2880 2023-02-24 01:12:17,911 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 2 days, 2:03:01, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2192, decode.acc_seg: 92.3528, aux.loss_ce: 0.0992, aux.acc_seg: 92.0952, loss: 0.3183 2023-02-24 01:13:17,805 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 2 days, 2:03:55, time: 1.198, data_time: 0.083, memory: 27881, decode.loss_ce: 0.2007, decode.acc_seg: 92.9219, aux.loss_ce: 0.0931, aux.acc_seg: 92.5080, loss: 0.2938 2023-02-24 01:14:14,138 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 2 days, 2:02:03, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1943, decode.acc_seg: 92.9810, aux.loss_ce: 0.0923, aux.acc_seg: 92.4642, loss: 0.2866 2023-02-24 01:15:10,716 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 2 days, 2:00:23, time: 1.132, data_time: 0.016, memory: 27881, decode.loss_ce: 0.1973, decode.acc_seg: 93.1099, aux.loss_ce: 0.0926, aux.acc_seg: 92.5883, loss: 0.2899 2023-02-24 01:16:07,072 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 2 days, 1:58:34, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.2112, decode.acc_seg: 92.4284, aux.loss_ce: 0.0973, aux.acc_seg: 92.0745, loss: 0.3084 2023-02-24 01:17:06,617 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 2 days, 1:59:07, time: 1.191, data_time: 0.073, memory: 27881, decode.loss_ce: 0.2065, decode.acc_seg: 92.7083, aux.loss_ce: 0.0912, aux.acc_seg: 92.5958, loss: 0.2977 2023-02-24 01:18:03,028 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 2 days, 1:57:23, time: 1.128, data_time: 0.015, memory: 27881, decode.loss_ce: 0.2068, decode.acc_seg: 92.6474, aux.loss_ce: 0.0932, aux.acc_seg: 92.4067, loss: 0.3000 2023-02-24 01:18:59,502 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 2 days, 1:55:41, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1948, decode.acc_seg: 93.1973, aux.loss_ce: 0.0900, aux.acc_seg: 92.7791, loss: 0.2847 2023-02-24 01:19:55,845 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 2 days, 1:53:56, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.2060, decode.acc_seg: 92.6107, aux.loss_ce: 0.0933, aux.acc_seg: 92.3071, loss: 0.2993 2023-02-24 01:20:55,425 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 2 days, 1:54:26, time: 1.192, data_time: 0.077, memory: 27881, decode.loss_ce: 0.1961, decode.acc_seg: 92.9863, aux.loss_ce: 0.0903, aux.acc_seg: 92.5578, loss: 0.2864 2023-02-24 01:21:51,817 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 2 days, 1:52:43, time: 1.128, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1832, decode.acc_seg: 93.4627, aux.loss_ce: 0.0857, aux.acc_seg: 93.0313, loss: 0.2689 2023-02-24 01:22:48,315 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 2 days, 1:51:06, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1929, decode.acc_seg: 92.9668, aux.loss_ce: 0.0902, aux.acc_seg: 92.5228, loss: 0.2831 2023-02-24 01:23:44,733 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 2 days, 1:49:27, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1965, decode.acc_seg: 92.9475, aux.loss_ce: 0.0899, aux.acc_seg: 92.5144, loss: 0.2864 2023-02-24 01:24:45,201 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 2 days, 1:50:28, time: 1.209, data_time: 0.094, memory: 27881, decode.loss_ce: 0.1930, decode.acc_seg: 93.0512, aux.loss_ce: 0.0879, aux.acc_seg: 92.6579, loss: 0.2809 2023-02-24 01:25:41,589 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 01:25:41,622 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 2 days, 1:48:47, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1993, decode.acc_seg: 92.9142, aux.loss_ce: 0.0890, aux.acc_seg: 92.5878, loss: 0.2883 2023-02-24 01:26:38,002 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 2 days, 1:47:09, time: 1.129, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1830, decode.acc_seg: 93.4730, aux.loss_ce: 0.0849, aux.acc_seg: 93.0199, loss: 0.2679 2023-02-24 01:27:37,400 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 2 days, 1:47:26, time: 1.188, data_time: 0.071, memory: 27881, decode.loss_ce: 0.1837, decode.acc_seg: 93.5017, aux.loss_ce: 0.0843, aux.acc_seg: 93.0649, loss: 0.2680 2023-02-24 01:28:33,757 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 2 days, 1:45:46, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1893, decode.acc_seg: 93.2034, aux.loss_ce: 0.0846, aux.acc_seg: 92.8937, loss: 0.2739 2023-02-24 01:29:30,201 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 2 days, 1:44:10, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1680, decode.acc_seg: 93.9362, aux.loss_ce: 0.0791, aux.acc_seg: 93.3973, loss: 0.2471 2023-02-24 01:30:26,597 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 2 days, 1:42:33, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1899, decode.acc_seg: 93.2076, aux.loss_ce: 0.0882, aux.acc_seg: 92.7514, loss: 0.2781 2023-02-24 01:31:26,441 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 2 days, 1:43:03, time: 1.197, data_time: 0.076, memory: 27881, decode.loss_ce: 0.1752, decode.acc_seg: 93.7650, aux.loss_ce: 0.0808, aux.acc_seg: 93.3088, loss: 0.2560 2023-02-24 01:32:22,811 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 2 days, 1:41:25, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1905, decode.acc_seg: 93.1926, aux.loss_ce: 0.0844, aux.acc_seg: 92.8642, loss: 0.2749 2023-02-24 01:33:19,217 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 2 days, 1:39:51, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1778, decode.acc_seg: 93.6249, aux.loss_ce: 0.0817, aux.acc_seg: 93.1960, loss: 0.2595 2023-02-24 01:34:16,449 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 2 days, 1:38:45, time: 1.145, data_time: 0.029, memory: 27881, decode.loss_ce: 0.1878, decode.acc_seg: 93.3300, aux.loss_ce: 0.0842, aux.acc_seg: 92.8859, loss: 0.2721 2023-02-24 01:35:16,874 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 2 days, 1:39:31, time: 1.208, data_time: 0.093, memory: 27881, decode.loss_ce: 0.1835, decode.acc_seg: 93.4131, aux.loss_ce: 0.0837, aux.acc_seg: 92.9110, loss: 0.2672 2023-02-24 01:36:13,291 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 2 days, 1:37:57, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1867, decode.acc_seg: 93.4112, aux.loss_ce: 0.0835, aux.acc_seg: 93.0239, loss: 0.2701 2023-02-24 01:37:09,663 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 2 days, 1:36:22, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1761, decode.acc_seg: 93.6471, aux.loss_ce: 0.0788, aux.acc_seg: 93.3487, loss: 0.2548 2023-02-24 01:38:06,497 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 2 days, 1:35:04, time: 1.137, data_time: 0.022, memory: 27881, decode.loss_ce: 0.1775, decode.acc_seg: 93.6619, aux.loss_ce: 0.0807, aux.acc_seg: 93.2322, loss: 0.2582 2023-02-24 01:39:05,860 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 2 days, 1:35:09, time: 1.187, data_time: 0.069, memory: 27881, decode.loss_ce: 0.1685, decode.acc_seg: 93.8174, aux.loss_ce: 0.0773, aux.acc_seg: 93.3688, loss: 0.2458 2023-02-24 01:40:02,335 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 2 days, 1:33:40, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1743, decode.acc_seg: 93.7429, aux.loss_ce: 0.0789, aux.acc_seg: 93.3035, loss: 0.2532 2023-02-24 01:40:58,762 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 2 days, 1:32:08, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1704, decode.acc_seg: 93.9050, aux.loss_ce: 0.0772, aux.acc_seg: 93.4877, loss: 0.2475 2023-02-24 01:41:58,358 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 2 days, 1:32:20, time: 1.192, data_time: 0.076, memory: 27881, decode.loss_ce: 0.1856, decode.acc_seg: 93.2186, aux.loss_ce: 0.0828, aux.acc_seg: 92.8517, loss: 0.2684 2023-02-24 01:42:54,889 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 2 days, 1:30:52, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1709, decode.acc_seg: 93.7646, aux.loss_ce: 0.0796, aux.acc_seg: 93.2390, loss: 0.2505 2023-02-24 01:43:51,606 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 2 days, 1:29:32, time: 1.135, data_time: 0.020, memory: 27881, decode.loss_ce: 0.1750, decode.acc_seg: 93.6426, aux.loss_ce: 0.0804, aux.acc_seg: 93.1154, loss: 0.2554 2023-02-24 01:44:47,965 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 01:44:47,966 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 2 days, 1:28:00, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1654, decode.acc_seg: 94.0039, aux.loss_ce: 0.0767, aux.acc_seg: 93.5026, loss: 0.2421 2023-02-24 01:45:48,399 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 2 days, 1:28:34, time: 1.209, data_time: 0.087, memory: 27881, decode.loss_ce: 0.1658, decode.acc_seg: 93.9538, aux.loss_ce: 0.0763, aux.acc_seg: 93.4365, loss: 0.2421 2023-02-24 01:46:44,864 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 2 days, 1:27:06, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1789, decode.acc_seg: 93.5590, aux.loss_ce: 0.0803, aux.acc_seg: 93.1561, loss: 0.2592 2023-02-24 01:47:42,198 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 2 days, 1:26:05, time: 1.147, data_time: 0.030, memory: 27881, decode.loss_ce: 0.1752, decode.acc_seg: 93.8088, aux.loss_ce: 0.0792, aux.acc_seg: 93.3114, loss: 0.2544 2023-02-24 01:48:38,662 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 2 days, 1:24:38, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1705, decode.acc_seg: 93.8379, aux.loss_ce: 0.0776, aux.acc_seg: 93.3820, loss: 0.2481 2023-02-24 01:49:38,950 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 2 days, 1:25:03, time: 1.206, data_time: 0.088, memory: 27881, decode.loss_ce: 0.1622, decode.acc_seg: 94.1408, aux.loss_ce: 0.0731, aux.acc_seg: 93.7647, loss: 0.2353 2023-02-24 01:50:35,495 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 2 days, 1:23:39, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1831, decode.acc_seg: 93.5887, aux.loss_ce: 0.0780, aux.acc_seg: 93.3237, loss: 0.2610 2023-02-24 01:51:31,881 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 2 days, 1:22:10, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1700, decode.acc_seg: 93.8482, aux.loss_ce: 0.0768, aux.acc_seg: 93.4387, loss: 0.2468 2023-02-24 01:52:31,535 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 2 days, 1:22:15, time: 1.193, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1722, decode.acc_seg: 93.6597, aux.loss_ce: 0.0768, aux.acc_seg: 93.2761, loss: 0.2490 2023-02-24 01:53:27,939 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 2 days, 1:20:47, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1605, decode.acc_seg: 94.1035, aux.loss_ce: 0.0732, aux.acc_seg: 93.6344, loss: 0.2337 2023-02-24 01:54:24,357 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 2 days, 1:19:20, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1615, decode.acc_seg: 94.0827, aux.loss_ce: 0.0738, aux.acc_seg: 93.6028, loss: 0.2353 2023-02-24 01:55:20,883 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 2 days, 1:17:56, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1693, decode.acc_seg: 93.9277, aux.loss_ce: 0.0776, aux.acc_seg: 93.3559, loss: 0.2469 2023-02-24 01:56:20,660 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 2 days, 1:18:03, time: 1.196, data_time: 0.078, memory: 27881, decode.loss_ce: 0.1609, decode.acc_seg: 94.1667, aux.loss_ce: 0.0723, aux.acc_seg: 93.7083, loss: 0.2332 2023-02-24 01:57:18,428 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 2 days, 1:17:13, time: 1.155, data_time: 0.038, memory: 27881, decode.loss_ce: 0.1667, decode.acc_seg: 94.0310, aux.loss_ce: 0.0745, aux.acc_seg: 93.5883, loss: 0.2413 2023-02-24 01:58:14,842 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 2 days, 1:15:47, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1739, decode.acc_seg: 93.8685, aux.loss_ce: 0.0758, aux.acc_seg: 93.5069, loss: 0.2497 2023-02-24 01:59:12,292 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 2 days, 1:14:49, time: 1.149, data_time: 0.031, memory: 27881, decode.loss_ce: 0.2072, decode.acc_seg: 92.7832, aux.loss_ce: 0.0806, aux.acc_seg: 93.0627, loss: 0.2878 2023-02-24 02:00:12,045 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 2 days, 1:14:52, time: 1.195, data_time: 0.079, memory: 27881, decode.loss_ce: 0.1763, decode.acc_seg: 93.7637, aux.loss_ce: 0.0775, aux.acc_seg: 93.3405, loss: 0.2537 2023-02-24 02:01:08,519 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 2 days, 1:13:28, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1603, decode.acc_seg: 94.1929, aux.loss_ce: 0.0724, aux.acc_seg: 93.7597, loss: 0.2327 2023-02-24 02:02:05,048 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 2 days, 1:12:06, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1656, decode.acc_seg: 94.0728, aux.loss_ce: 0.0749, aux.acc_seg: 93.5325, loss: 0.2405 2023-02-24 02:03:01,657 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 2 days, 1:10:46, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1662, decode.acc_seg: 93.8548, aux.loss_ce: 0.0747, aux.acc_seg: 93.4613, loss: 0.2409 2023-02-24 02:04:01,958 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:04:01,961 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 2 days, 1:11:01, time: 1.206, data_time: 0.079, memory: 27881, decode.loss_ce: 0.1640, decode.acc_seg: 94.1541, aux.loss_ce: 0.0744, aux.acc_seg: 93.6337, loss: 0.2385 2023-02-24 02:04:58,574 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 2 days, 1:09:42, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1513, decode.acc_seg: 94.4496, aux.loss_ce: 0.0700, aux.acc_seg: 93.9043, loss: 0.2212 2023-02-24 02:05:55,037 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 2 days, 1:08:18, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1748, decode.acc_seg: 93.6623, aux.loss_ce: 0.0774, aux.acc_seg: 93.3029, loss: 0.2523 2023-02-24 02:06:55,352 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 2 days, 1:08:32, time: 1.206, data_time: 0.088, memory: 27881, decode.loss_ce: 0.1698, decode.acc_seg: 93.7161, aux.loss_ce: 0.0761, aux.acc_seg: 93.2571, loss: 0.2459 2023-02-24 02:07:52,471 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 2 days, 1:07:25, time: 1.142, data_time: 0.025, memory: 27881, decode.loss_ce: 0.1581, decode.acc_seg: 94.2720, aux.loss_ce: 0.0712, aux.acc_seg: 93.8537, loss: 0.2293 2023-02-24 02:08:48,936 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 2 days, 1:06:03, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1627, decode.acc_seg: 94.0538, aux.loss_ce: 0.0726, aux.acc_seg: 93.6695, loss: 0.2353 2023-02-24 02:09:45,419 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 2 days, 1:04:41, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1623, decode.acc_seg: 94.1115, aux.loss_ce: 0.0724, aux.acc_seg: 93.7073, loss: 0.2347 2023-02-24 02:10:46,149 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 2 days, 1:05:02, time: 1.215, data_time: 0.096, memory: 27881, decode.loss_ce: 0.1613, decode.acc_seg: 94.0362, aux.loss_ce: 0.0729, aux.acc_seg: 93.6131, loss: 0.2342 2023-02-24 02:11:42,766 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 2 days, 1:03:43, time: 1.132, data_time: 0.016, memory: 27881, decode.loss_ce: 0.1594, decode.acc_seg: 94.2063, aux.loss_ce: 0.0708, aux.acc_seg: 93.8469, loss: 0.2301 2023-02-24 02:12:39,303 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 2 days, 1:02:23, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1544, decode.acc_seg: 94.3791, aux.loss_ce: 0.0691, aux.acc_seg: 93.9200, loss: 0.2234 2023-02-24 02:13:35,843 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 2 days, 1:01:03, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1648, decode.acc_seg: 94.0952, aux.loss_ce: 0.0732, aux.acc_seg: 93.6449, loss: 0.2380 2023-02-24 02:14:37,184 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 2 days, 1:01:36, time: 1.227, data_time: 0.104, memory: 27881, decode.loss_ce: 0.1540, decode.acc_seg: 94.2615, aux.loss_ce: 0.0701, aux.acc_seg: 93.7941, loss: 0.2241 2023-02-24 02:15:33,659 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 2 days, 1:00:14, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1619, decode.acc_seg: 94.1353, aux.loss_ce: 0.0727, aux.acc_seg: 93.6848, loss: 0.2346 2023-02-24 02:16:30,115 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 2 days, 0:58:53, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1551, decode.acc_seg: 94.3236, aux.loss_ce: 0.0705, aux.acc_seg: 93.8389, loss: 0.2256 2023-02-24 02:17:30,105 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 2 days, 0:58:52, time: 1.200, data_time: 0.080, memory: 27881, decode.loss_ce: 0.1550, decode.acc_seg: 94.3534, aux.loss_ce: 0.0689, aux.acc_seg: 93.9518, loss: 0.2239 2023-02-24 02:18:26,598 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 2 days, 0:57:32, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1604, decode.acc_seg: 94.2205, aux.loss_ce: 0.0715, aux.acc_seg: 93.7921, loss: 0.2319 2023-02-24 02:19:23,072 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 2 days, 0:56:11, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1538, decode.acc_seg: 94.3819, aux.loss_ce: 0.0697, aux.acc_seg: 93.8823, loss: 0.2235 2023-02-24 02:20:19,573 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 2 days, 0:54:51, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1681, decode.acc_seg: 94.0111, aux.loss_ce: 0.0728, aux.acc_seg: 93.6986, loss: 0.2410 2023-02-24 02:21:19,706 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 2 days, 0:54:52, time: 1.203, data_time: 0.078, memory: 27881, decode.loss_ce: 0.1498, decode.acc_seg: 94.5956, aux.loss_ce: 0.0677, aux.acc_seg: 94.0740, loss: 0.2175 2023-02-24 02:22:16,284 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 2 days, 0:53:34, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1489, decode.acc_seg: 94.5750, aux.loss_ce: 0.0672, aux.acc_seg: 94.0857, loss: 0.2161 2023-02-24 02:23:13,526 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:23:13,526 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 2 days, 0:52:31, time: 1.145, data_time: 0.026, memory: 27881, decode.loss_ce: 0.1477, decode.acc_seg: 94.5751, aux.loss_ce: 0.0666, aux.acc_seg: 94.1293, loss: 0.2142 2023-02-24 02:24:10,108 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 2 days, 0:51:13, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1609, decode.acc_seg: 94.0856, aux.loss_ce: 0.0711, aux.acc_seg: 93.6877, loss: 0.2321 2023-02-24 02:25:09,805 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 2 days, 0:51:04, time: 1.194, data_time: 0.073, memory: 27881, decode.loss_ce: 0.1587, decode.acc_seg: 94.1757, aux.loss_ce: 0.0704, aux.acc_seg: 93.7716, loss: 0.2290 2023-02-24 02:26:06,381 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 2 days, 0:49:46, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1528, decode.acc_seg: 94.4803, aux.loss_ce: 0.0678, aux.acc_seg: 94.0674, loss: 0.2206 2023-02-24 02:27:03,316 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 2 days, 0:48:37, time: 1.139, data_time: 0.021, memory: 27881, decode.loss_ce: 0.1499, decode.acc_seg: 94.4197, aux.loss_ce: 0.0681, aux.acc_seg: 93.9687, loss: 0.2179 2023-02-24 02:27:59,815 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 2 days, 0:47:18, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1555, decode.acc_seg: 94.3037, aux.loss_ce: 0.0703, aux.acc_seg: 93.7823, loss: 0.2258 2023-02-24 02:28:59,660 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 2 days, 0:47:10, time: 1.197, data_time: 0.078, memory: 27881, decode.loss_ce: 0.1565, decode.acc_seg: 94.3522, aux.loss_ce: 0.0698, aux.acc_seg: 93.8521, loss: 0.2264 2023-02-24 02:29:56,268 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 2 days, 0:45:54, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1534, decode.acc_seg: 94.3854, aux.loss_ce: 0.0681, aux.acc_seg: 94.0055, loss: 0.2215 2023-02-24 02:30:53,186 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 2 days, 0:44:44, time: 1.138, data_time: 0.020, memory: 27881, decode.loss_ce: 0.1524, decode.acc_seg: 94.3748, aux.loss_ce: 0.0687, aux.acc_seg: 93.8991, loss: 0.2211 2023-02-24 02:31:53,591 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 2 days, 0:44:46, time: 1.208, data_time: 0.085, memory: 27881, decode.loss_ce: 0.1414, decode.acc_seg: 94.8240, aux.loss_ce: 0.0639, aux.acc_seg: 94.3152, loss: 0.2053 2023-02-24 02:32:50,179 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 2 days, 0:43:29, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1462, decode.acc_seg: 94.6108, aux.loss_ce: 0.0671, aux.acc_seg: 94.0809, loss: 0.2133 2023-02-24 02:33:46,735 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 2 days, 0:42:13, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1569, decode.acc_seg: 94.2161, aux.loss_ce: 0.0693, aux.acc_seg: 93.7922, loss: 0.2261 2023-02-24 02:34:43,457 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 2 days, 0:41:00, time: 1.134, data_time: 0.016, memory: 27881, decode.loss_ce: 0.1523, decode.acc_seg: 94.5196, aux.loss_ce: 0.0674, aux.acc_seg: 94.1267, loss: 0.2197 2023-02-24 02:35:44,267 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 2 days, 0:41:08, time: 1.216, data_time: 0.097, memory: 27881, decode.loss_ce: 0.1577, decode.acc_seg: 94.4103, aux.loss_ce: 0.0698, aux.acc_seg: 93.9019, loss: 0.2275 2023-02-24 02:36:40,854 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 2 days, 0:39:52, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1539, decode.acc_seg: 94.4191, aux.loss_ce: 0.0695, aux.acc_seg: 93.8644, loss: 0.2234 2023-02-24 02:37:37,424 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 2 days, 0:38:36, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1475, decode.acc_seg: 94.6511, aux.loss_ce: 0.0654, aux.acc_seg: 94.2460, loss: 0.2129 2023-02-24 02:38:33,959 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 2 days, 0:37:19, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1449, decode.acc_seg: 94.6901, aux.loss_ce: 0.0663, aux.acc_seg: 94.1356, loss: 0.2112 2023-02-24 02:39:34,043 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 2 days, 0:37:12, time: 1.202, data_time: 0.079, memory: 27881, decode.loss_ce: 0.1436, decode.acc_seg: 94.6996, aux.loss_ce: 0.0652, aux.acc_seg: 94.2176, loss: 0.2088 2023-02-24 02:40:30,709 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 2 days, 0:35:58, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1639, decode.acc_seg: 94.0086, aux.loss_ce: 0.0725, aux.acc_seg: 93.5331, loss: 0.2364 2023-02-24 02:41:27,293 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 2 days, 0:34:42, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1540, decode.acc_seg: 94.5483, aux.loss_ce: 0.0692, aux.acc_seg: 94.0906, loss: 0.2232 2023-02-24 02:42:26,970 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:42:26,975 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 2 days, 0:34:26, time: 1.194, data_time: 0.072, memory: 27881, decode.loss_ce: 0.1457, decode.acc_seg: 94.7155, aux.loss_ce: 0.0654, aux.acc_seg: 94.2117, loss: 0.2111 2023-02-24 02:43:23,521 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 2 days, 0:33:10, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1584, decode.acc_seg: 94.2949, aux.loss_ce: 0.0690, aux.acc_seg: 93.8999, loss: 0.2275 2023-02-24 02:44:20,072 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 2 days, 0:31:55, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1591, decode.acc_seg: 94.1947, aux.loss_ce: 0.0698, aux.acc_seg: 93.8013, loss: 0.2289 2023-02-24 02:45:16,639 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 2 days, 0:30:40, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1516, decode.acc_seg: 94.4701, aux.loss_ce: 0.0675, aux.acc_seg: 93.9978, loss: 0.2191 2023-02-24 02:46:16,855 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 2 days, 0:30:32, time: 1.204, data_time: 0.083, memory: 27881, decode.loss_ce: 0.1565, decode.acc_seg: 94.2796, aux.loss_ce: 0.0676, aux.acc_seg: 93.9760, loss: 0.2241 2023-02-24 02:47:13,602 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 2 days, 0:29:21, time: 1.135, data_time: 0.018, memory: 27881, decode.loss_ce: 0.1640, decode.acc_seg: 94.2848, aux.loss_ce: 0.0712, aux.acc_seg: 93.8303, loss: 0.2352 2023-02-24 02:48:10,116 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 2 days, 0:28:05, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1447, decode.acc_seg: 94.8030, aux.loss_ce: 0.0642, aux.acc_seg: 94.3866, loss: 0.2089 2023-02-24 02:49:06,769 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 2 days, 0:26:52, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1431, decode.acc_seg: 94.7927, aux.loss_ce: 0.0642, aux.acc_seg: 94.2952, loss: 0.2073 2023-02-24 02:50:07,274 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 2 days, 0:26:48, time: 1.210, data_time: 0.090, memory: 27881, decode.loss_ce: 0.1498, decode.acc_seg: 94.5037, aux.loss_ce: 0.0668, aux.acc_seg: 94.0484, loss: 0.2166 2023-02-24 02:51:03,808 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 2 days, 0:25:33, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1471, decode.acc_seg: 94.5692, aux.loss_ce: 0.0665, aux.acc_seg: 94.0314, loss: 0.2136 2023-02-24 02:52:00,377 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 2 days, 0:24:19, time: 1.131, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1515, decode.acc_seg: 94.4756, aux.loss_ce: 0.0672, aux.acc_seg: 94.0657, loss: 0.2187 2023-02-24 02:52:56,947 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 2 days, 0:23:04, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1522, decode.acc_seg: 94.4817, aux.loss_ce: 0.0679, aux.acc_seg: 94.0278, loss: 0.2201 2023-02-24 02:53:57,759 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 2 days, 0:23:05, time: 1.216, data_time: 0.098, memory: 27881, decode.loss_ce: 0.1427, decode.acc_seg: 94.7866, aux.loss_ce: 0.0645, aux.acc_seg: 94.2411, loss: 0.2072 2023-02-24 02:54:54,279 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 2 days, 0:21:50, time: 1.131, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1424, decode.acc_seg: 94.7013, aux.loss_ce: 0.0652, aux.acc_seg: 94.1671, loss: 0.2076 2023-02-24 02:55:50,802 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 2 days, 0:20:35, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1392, decode.acc_seg: 94.9249, aux.loss_ce: 0.0636, aux.acc_seg: 94.4003, loss: 0.2028 2023-02-24 02:56:50,406 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 2 days, 0:20:14, time: 1.192, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1356, decode.acc_seg: 94.9716, aux.loss_ce: 0.0620, aux.acc_seg: 94.4066, loss: 0.1976 2023-02-24 02:57:46,961 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 2 days, 0:18:59, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1386, decode.acc_seg: 94.9885, aux.loss_ce: 0.0611, aux.acc_seg: 94.6103, loss: 0.1997 2023-02-24 02:58:43,866 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 2 days, 0:17:51, time: 1.138, data_time: 0.020, memory: 27881, decode.loss_ce: 0.1449, decode.acc_seg: 94.6475, aux.loss_ce: 0.0649, aux.acc_seg: 94.1866, loss: 0.2097 2023-02-24 02:59:40,346 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 2 days, 0:16:36, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1487, decode.acc_seg: 94.6190, aux.loss_ce: 0.0654, aux.acc_seg: 94.2120, loss: 0.2140 2023-02-24 03:00:40,018 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 2 days, 0:16:15, time: 1.193, data_time: 0.075, memory: 27881, decode.loss_ce: 0.1365, decode.acc_seg: 94.8992, aux.loss_ce: 0.0623, aux.acc_seg: 94.3108, loss: 0.1987 2023-02-24 03:01:36,561 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:01:36,562 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 2 days, 0:15:01, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1469, decode.acc_seg: 94.6071, aux.loss_ce: 0.0650, aux.acc_seg: 94.1948, loss: 0.2119 2023-02-24 03:02:33,126 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 2 days, 0:13:48, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1353, decode.acc_seg: 95.0674, aux.loss_ce: 0.0619, aux.acc_seg: 94.5147, loss: 0.1972 2023-02-24 03:03:29,636 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 2 days, 0:12:34, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1367, decode.acc_seg: 94.8672, aux.loss_ce: 0.0622, aux.acc_seg: 94.4089, loss: 0.1988 2023-02-24 03:04:29,174 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 2 days, 0:12:10, time: 1.190, data_time: 0.073, memory: 27881, decode.loss_ce: 0.1454, decode.acc_seg: 94.4412, aux.loss_ce: 0.0665, aux.acc_seg: 93.9009, loss: 0.2118 2023-02-24 03:05:25,751 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 2 days, 0:10:57, time: 1.132, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1335, decode.acc_seg: 95.0427, aux.loss_ce: 0.0608, aux.acc_seg: 94.5753, loss: 0.1942 2023-02-24 03:06:22,257 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 2 days, 0:09:43, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1478, decode.acc_seg: 94.5257, aux.loss_ce: 0.0672, aux.acc_seg: 94.0115, loss: 0.2150 2023-02-24 03:07:18,818 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 2 days, 0:08:30, time: 1.131, data_time: 0.015, memory: 27881, decode.loss_ce: 0.1396, decode.acc_seg: 94.9898, aux.loss_ce: 0.0624, aux.acc_seg: 94.4983, loss: 0.2020 2023-02-24 03:08:19,434 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 2 days, 0:08:23, time: 1.212, data_time: 0.096, memory: 27881, decode.loss_ce: 0.1319, decode.acc_seg: 95.1063, aux.loss_ce: 0.0610, aux.acc_seg: 94.5471, loss: 0.1929 2023-02-24 03:09:16,012 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 2 days, 0:07:10, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1433, decode.acc_seg: 94.6542, aux.loss_ce: 0.0636, aux.acc_seg: 94.2803, loss: 0.2068 2023-02-24 03:10:12,612 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 2 days, 0:05:58, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1456, decode.acc_seg: 94.5705, aux.loss_ce: 0.0647, aux.acc_seg: 94.1131, loss: 0.2103 2023-02-24 03:11:12,271 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 2 days, 0:05:35, time: 1.193, data_time: 0.077, memory: 27881, decode.loss_ce: 0.1387, decode.acc_seg: 94.8222, aux.loss_ce: 0.0629, aux.acc_seg: 94.3655, loss: 0.2016 2023-02-24 03:12:08,989 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 2 days, 0:04:24, time: 1.134, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1406, decode.acc_seg: 94.8421, aux.loss_ce: 0.0635, aux.acc_seg: 94.3729, loss: 0.2041 2023-02-24 03:13:05,458 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 2 days, 0:03:11, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1462, decode.acc_seg: 94.6996, aux.loss_ce: 0.0636, aux.acc_seg: 94.3397, loss: 0.2099 2023-02-24 03:14:01,935 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 2 days, 0:01:57, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1409, decode.acc_seg: 94.7090, aux.loss_ce: 0.0638, aux.acc_seg: 94.1916, loss: 0.2047 2023-02-24 03:15:02,128 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 2 days, 0:01:41, time: 1.204, data_time: 0.083, memory: 27881, decode.loss_ce: 0.1369, decode.acc_seg: 94.8907, aux.loss_ce: 0.0621, aux.acc_seg: 94.4380, loss: 0.1990 2023-02-24 03:15:59,140 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 2 days, 0:00:36, time: 1.140, data_time: 0.022, memory: 27881, decode.loss_ce: 0.1406, decode.acc_seg: 94.8752, aux.loss_ce: 0.0611, aux.acc_seg: 94.5425, loss: 0.2017 2023-02-24 03:16:55,698 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 1 day, 23:59:24, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1467, decode.acc_seg: 94.7450, aux.loss_ce: 0.0654, aux.acc_seg: 94.2488, loss: 0.2122 2023-02-24 03:17:52,247 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 1 day, 23:58:11, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1384, decode.acc_seg: 94.8265, aux.loss_ce: 0.0625, aux.acc_seg: 94.3503, loss: 0.2009 2023-02-24 03:18:52,346 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 1 day, 23:57:53, time: 1.202, data_time: 0.083, memory: 27881, decode.loss_ce: 0.1367, decode.acc_seg: 94.9738, aux.loss_ce: 0.0628, aux.acc_seg: 94.3907, loss: 0.1994 2023-02-24 03:19:49,181 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 1 day, 23:56:45, time: 1.137, data_time: 0.019, memory: 27881, decode.loss_ce: 0.1474, decode.acc_seg: 94.5730, aux.loss_ce: 0.0640, aux.acc_seg: 94.2413, loss: 0.2114 2023-02-24 03:20:45,727 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:20:45,727 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 1 day, 23:55:33, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1422, decode.acc_seg: 94.7766, aux.loss_ce: 0.0618, aux.acc_seg: 94.4707, loss: 0.2040 2023-02-24 03:21:46,377 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 1 day, 23:55:22, time: 1.213, data_time: 0.085, memory: 27881, decode.loss_ce: 0.1355, decode.acc_seg: 95.0562, aux.loss_ce: 0.0601, aux.acc_seg: 94.6684, loss: 0.1956 2023-02-24 03:22:42,928 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 1 day, 23:54:11, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1310, decode.acc_seg: 95.1527, aux.loss_ce: 0.0595, aux.acc_seg: 94.6320, loss: 0.1905 2023-02-24 03:23:39,479 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 1 day, 23:52:59, time: 1.131, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1382, decode.acc_seg: 94.9305, aux.loss_ce: 0.0623, aux.acc_seg: 94.4511, loss: 0.2004 2023-02-24 03:24:36,022 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 1 day, 23:51:47, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1386, decode.acc_seg: 94.8591, aux.loss_ce: 0.0628, aux.acc_seg: 94.3472, loss: 0.2014 2023-02-24 03:25:36,682 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 1 day, 23:51:35, time: 1.213, data_time: 0.092, memory: 27881, decode.loss_ce: 0.1402, decode.acc_seg: 94.9041, aux.loss_ce: 0.0626, aux.acc_seg: 94.4276, loss: 0.2028 2023-02-24 03:26:33,246 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 1 day, 23:50:24, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1331, decode.acc_seg: 95.1061, aux.loss_ce: 0.0601, aux.acc_seg: 94.6033, loss: 0.1932 2023-02-24 03:27:29,869 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 1 day, 23:49:13, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1544, decode.acc_seg: 94.3402, aux.loss_ce: 0.0682, aux.acc_seg: 93.9500, loss: 0.2226 2023-02-24 03:28:26,412 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 1 day, 23:48:02, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1398, decode.acc_seg: 94.8747, aux.loss_ce: 0.0621, aux.acc_seg: 94.4516, loss: 0.2020 2023-02-24 03:29:27,086 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 1 day, 23:47:49, time: 1.213, data_time: 0.088, memory: 27881, decode.loss_ce: 0.1319, decode.acc_seg: 95.1016, aux.loss_ce: 0.0601, aux.acc_seg: 94.5448, loss: 0.1920 2023-02-24 03:30:23,716 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 1 day, 23:46:39, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1306, decode.acc_seg: 95.1483, aux.loss_ce: 0.0600, aux.acc_seg: 94.5637, loss: 0.1907 2023-02-24 03:31:20,295 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 1 day, 23:45:28, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1356, decode.acc_seg: 94.9550, aux.loss_ce: 0.0620, aux.acc_seg: 94.3787, loss: 0.1976 2023-02-24 03:32:16,795 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 1 day, 23:44:16, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1429, decode.acc_seg: 94.7269, aux.loss_ce: 0.0612, aux.acc_seg: 94.4160, loss: 0.2040 2023-02-24 03:33:17,606 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 1 day, 23:44:05, time: 1.216, data_time: 0.100, memory: 27881, decode.loss_ce: 0.1326, decode.acc_seg: 95.1577, aux.loss_ce: 0.0594, aux.acc_seg: 94.6761, loss: 0.1920 2023-02-24 03:34:14,698 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 1 day, 23:43:01, time: 1.142, data_time: 0.023, memory: 27881, decode.loss_ce: 0.1276, decode.acc_seg: 95.2586, aux.loss_ce: 0.0576, aux.acc_seg: 94.7844, loss: 0.1852 2023-02-24 03:35:11,270 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 1 day, 23:41:50, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1345, decode.acc_seg: 95.0038, aux.loss_ce: 0.0616, aux.acc_seg: 94.4341, loss: 0.1962 2023-02-24 03:36:11,973 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 1 day, 23:41:37, time: 1.214, data_time: 0.096, memory: 27881, decode.loss_ce: 0.1346, decode.acc_seg: 95.0651, aux.loss_ce: 0.0596, aux.acc_seg: 94.6421, loss: 0.1942 2023-02-24 03:37:08,539 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 1 day, 23:40:26, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1316, decode.acc_seg: 95.2249, aux.loss_ce: 0.0583, aux.acc_seg: 94.8408, loss: 0.1899 2023-02-24 03:38:05,124 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 1 day, 23:39:15, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1318, decode.acc_seg: 95.1222, aux.loss_ce: 0.0603, aux.acc_seg: 94.5944, loss: 0.1921 2023-02-24 03:39:01,837 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 1 day, 23:38:07, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1332, decode.acc_seg: 95.0732, aux.loss_ce: 0.0595, aux.acc_seg: 94.5955, loss: 0.1928 2023-02-24 03:40:01,598 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:40:01,604 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 1 day, 23:37:39, time: 1.195, data_time: 0.075, memory: 27881, decode.loss_ce: 0.1408, decode.acc_seg: 94.8294, aux.loss_ce: 0.0624, aux.acc_seg: 94.3665, loss: 0.2033 2023-02-24 03:40:58,319 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 1 day, 23:36:31, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1305, decode.acc_seg: 95.1838, aux.loss_ce: 0.0590, aux.acc_seg: 94.6555, loss: 0.1895 2023-02-24 03:41:55,161 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 1 day, 23:35:24, time: 1.137, data_time: 0.018, memory: 27881, decode.loss_ce: 0.1317, decode.acc_seg: 95.1881, aux.loss_ce: 0.0604, aux.acc_seg: 94.6237, loss: 0.1921 2023-02-24 03:42:51,715 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 1 day, 23:34:13, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1290, decode.acc_seg: 95.1819, aux.loss_ce: 0.0589, aux.acc_seg: 94.6619, loss: 0.1878 2023-02-24 03:43:51,457 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 1 day, 23:33:45, time: 1.195, data_time: 0.075, memory: 27881, decode.loss_ce: 0.1328, decode.acc_seg: 95.0490, aux.loss_ce: 0.0602, aux.acc_seg: 94.5875, loss: 0.1930 2023-02-24 03:44:48,069 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 1 day, 23:32:36, time: 1.132, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1344, decode.acc_seg: 95.0645, aux.loss_ce: 0.0605, aux.acc_seg: 94.5497, loss: 0.1949 2023-02-24 03:45:44,952 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 1 day, 23:31:30, time: 1.138, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1287, decode.acc_seg: 95.1937, aux.loss_ce: 0.0574, aux.acc_seg: 94.8052, loss: 0.1862 2023-02-24 03:46:44,663 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 1 day, 23:31:01, time: 1.194, data_time: 0.073, memory: 27881, decode.loss_ce: 0.1416, decode.acc_seg: 94.8196, aux.loss_ce: 0.0626, aux.acc_seg: 94.4390, loss: 0.2042 2023-02-24 03:47:41,179 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 1 day, 23:29:50, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1386, decode.acc_seg: 95.0329, aux.loss_ce: 0.0618, aux.acc_seg: 94.5522, loss: 0.2003 2023-02-24 03:48:37,806 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 1 day, 23:28:40, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1314, decode.acc_seg: 95.1090, aux.loss_ce: 0.0582, aux.acc_seg: 94.6815, loss: 0.1896 2023-02-24 03:49:34,865 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 1 day, 23:27:37, time: 1.141, data_time: 0.023, memory: 27881, decode.loss_ce: 0.1449, decode.acc_seg: 94.6372, aux.loss_ce: 0.0630, aux.acc_seg: 94.3091, loss: 0.2079 2023-02-24 03:50:35,417 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 1 day, 23:27:18, time: 1.211, data_time: 0.090, memory: 27881, decode.loss_ce: 0.1348, decode.acc_seg: 95.0533, aux.loss_ce: 0.0606, aux.acc_seg: 94.5416, loss: 0.1954 2023-02-24 03:51:32,083 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 1 day, 23:26:09, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1400, decode.acc_seg: 94.9382, aux.loss_ce: 0.0616, aux.acc_seg: 94.5094, loss: 0.2015 2023-02-24 03:52:28,741 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 1 day, 23:25:01, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1325, decode.acc_seg: 95.1321, aux.loss_ce: 0.0594, aux.acc_seg: 94.6484, loss: 0.1919 2023-02-24 03:53:26,443 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 1 day, 23:24:05, time: 1.154, data_time: 0.034, memory: 27881, decode.loss_ce: 0.1325, decode.acc_seg: 95.0822, aux.loss_ce: 0.0593, aux.acc_seg: 94.6147, loss: 0.1918 2023-02-24 03:54:26,060 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 1 day, 23:23:34, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.1294, decode.acc_seg: 95.1553, aux.loss_ce: 0.0589, aux.acc_seg: 94.6575, loss: 0.1882 2023-02-24 03:55:22,728 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 1 day, 23:22:25, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1350, decode.acc_seg: 94.9953, aux.loss_ce: 0.0601, aux.acc_seg: 94.5673, loss: 0.1951 2023-02-24 03:56:19,368 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 1 day, 23:21:17, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1255, decode.acc_seg: 95.2618, aux.loss_ce: 0.0563, aux.acc_seg: 94.8547, loss: 0.1818 2023-02-24 03:57:15,943 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 1 day, 23:20:07, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1348, decode.acc_seg: 94.9473, aux.loss_ce: 0.0614, aux.acc_seg: 94.4232, loss: 0.1963 2023-02-24 03:58:16,209 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 1 day, 23:19:44, time: 1.205, data_time: 0.080, memory: 27881, decode.loss_ce: 0.1274, decode.acc_seg: 95.2351, aux.loss_ce: 0.0570, aux.acc_seg: 94.8201, loss: 0.1843 2023-02-24 03:59:12,809 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:59:12,809 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 1 day, 23:18:34, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1393, decode.acc_seg: 94.8151, aux.loss_ce: 0.0621, aux.acc_seg: 94.3343, loss: 0.2014 2023-02-24 04:00:09,468 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 1 day, 23:17:26, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1298, decode.acc_seg: 95.1459, aux.loss_ce: 0.0587, aux.acc_seg: 94.6550, loss: 0.1885 2023-02-24 04:01:09,111 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 1 day, 23:16:54, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.1346, decode.acc_seg: 94.9547, aux.loss_ce: 0.0606, aux.acc_seg: 94.4835, loss: 0.1952 2023-02-24 04:02:05,753 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 1 day, 23:15:46, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1210, decode.acc_seg: 95.4776, aux.loss_ce: 0.0555, aux.acc_seg: 94.9546, loss: 0.1765 2023-02-24 04:03:02,262 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 1 day, 23:14:36, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1306, decode.acc_seg: 95.1690, aux.loss_ce: 0.0591, aux.acc_seg: 94.6693, loss: 0.1897 2023-02-24 04:03:58,807 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 1 day, 23:13:26, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1378, decode.acc_seg: 94.9522, aux.loss_ce: 0.0611, aux.acc_seg: 94.5035, loss: 0.1988 2023-02-24 04:04:58,524 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 1 day, 23:12:55, time: 1.194, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1318, decode.acc_seg: 95.1993, aux.loss_ce: 0.0591, aux.acc_seg: 94.6981, loss: 0.1909 2023-02-24 04:05:55,360 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 1 day, 23:11:49, time: 1.137, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1287, decode.acc_seg: 95.2427, aux.loss_ce: 0.0583, aux.acc_seg: 94.7693, loss: 0.1870 2023-02-24 04:06:51,939 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 1 day, 23:10:40, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1253, decode.acc_seg: 95.2948, aux.loss_ce: 0.0577, aux.acc_seg: 94.7266, loss: 0.1829 2023-02-24 04:07:48,751 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 1 day, 23:09:34, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1283, decode.acc_seg: 95.1540, aux.loss_ce: 0.0592, aux.acc_seg: 94.5588, loss: 0.1875 2023-02-24 04:08:48,550 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 1 day, 23:09:03, time: 1.196, data_time: 0.077, memory: 27881, decode.loss_ce: 0.1256, decode.acc_seg: 95.3414, aux.loss_ce: 0.0571, aux.acc_seg: 94.7935, loss: 0.1827 2023-02-24 04:09:45,335 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 1 day, 23:07:57, time: 1.136, data_time: 0.016, memory: 27881, decode.loss_ce: 0.1280, decode.acc_seg: 95.0934, aux.loss_ce: 0.0576, aux.acc_seg: 94.6961, loss: 0.1856 2023-02-24 04:10:41,984 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 1 day, 23:06:49, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1174, decode.acc_seg: 95.5894, aux.loss_ce: 0.0536, aux.acc_seg: 95.0821, loss: 0.1710 2023-02-24 04:11:42,318 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 1 day, 23:06:24, time: 1.207, data_time: 0.087, memory: 27881, decode.loss_ce: 0.1227, decode.acc_seg: 95.4135, aux.loss_ce: 0.0568, aux.acc_seg: 94.8150, loss: 0.1794 2023-02-24 04:12:38,970 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 1 day, 23:05:16, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1244, decode.acc_seg: 95.4544, aux.loss_ce: 0.0568, aux.acc_seg: 94.9159, loss: 0.1812 2023-02-24 04:13:35,622 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 1 day, 23:04:08, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1243, decode.acc_seg: 95.4192, aux.loss_ce: 0.0567, aux.acc_seg: 94.8747, loss: 0.1810 2023-02-24 04:14:32,214 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 1 day, 23:03:00, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1223, decode.acc_seg: 95.4104, aux.loss_ce: 0.0558, aux.acc_seg: 94.9184, loss: 0.1781 2023-02-24 04:15:32,594 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 1 day, 23:02:35, time: 1.208, data_time: 0.086, memory: 27881, decode.loss_ce: 0.1241, decode.acc_seg: 95.3880, aux.loss_ce: 0.0567, aux.acc_seg: 94.8322, loss: 0.1808 2023-02-24 04:16:29,184 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 1 day, 23:01:26, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1221, decode.acc_seg: 95.3913, aux.loss_ce: 0.0562, aux.acc_seg: 94.8596, loss: 0.1783 2023-02-24 04:17:25,853 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 1 day, 23:00:19, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1293, decode.acc_seg: 95.1888, aux.loss_ce: 0.0580, aux.acc_seg: 94.6793, loss: 0.1873 2023-02-24 04:18:22,500 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:18:22,501 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 1 day, 22:59:11, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1218, decode.acc_seg: 95.4058, aux.loss_ce: 0.0552, aux.acc_seg: 94.9569, loss: 0.1770 2023-02-24 04:19:22,112 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 1 day, 22:58:37, time: 1.192, data_time: 0.069, memory: 27881, decode.loss_ce: 0.1192, decode.acc_seg: 95.5312, aux.loss_ce: 0.0549, aux.acc_seg: 95.0098, loss: 0.1741 2023-02-24 04:20:18,761 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 1 day, 22:57:30, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1296, decode.acc_seg: 95.1470, aux.loss_ce: 0.0583, aux.acc_seg: 94.6548, loss: 0.1879 2023-02-24 04:21:15,491 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 1 day, 22:56:23, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1281, decode.acc_seg: 95.2470, aux.loss_ce: 0.0571, aux.acc_seg: 94.8727, loss: 0.1852 2023-02-24 04:22:12,128 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 1 day, 22:55:15, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1273, decode.acc_seg: 95.2816, aux.loss_ce: 0.0581, aux.acc_seg: 94.7206, loss: 0.1854 2023-02-24 04:23:11,891 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 1 day, 22:54:43, time: 1.195, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1218, decode.acc_seg: 95.4690, aux.loss_ce: 0.0556, aux.acc_seg: 94.9498, loss: 0.1774 2023-02-24 04:24:08,605 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 1 day, 22:53:36, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1266, decode.acc_seg: 95.2358, aux.loss_ce: 0.0591, aux.acc_seg: 94.5851, loss: 0.1857 2023-02-24 04:25:05,528 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 1 day, 22:52:32, time: 1.138, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1264, decode.acc_seg: 95.2958, aux.loss_ce: 0.0576, aux.acc_seg: 94.7897, loss: 0.1840 2023-02-24 04:26:05,502 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 1 day, 22:52:01, time: 1.199, data_time: 0.077, memory: 27881, decode.loss_ce: 0.1264, decode.acc_seg: 95.2735, aux.loss_ce: 0.0573, aux.acc_seg: 94.7653, loss: 0.1837 2023-02-24 04:27:02,177 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 1 day, 22:50:54, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1265, decode.acc_seg: 95.2970, aux.loss_ce: 0.0575, aux.acc_seg: 94.7385, loss: 0.1840 2023-02-24 04:27:58,834 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 1 day, 22:49:47, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1262, decode.acc_seg: 95.3680, aux.loss_ce: 0.0570, aux.acc_seg: 94.8373, loss: 0.1831 2023-02-24 04:28:55,730 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 1 day, 22:48:42, time: 1.138, data_time: 0.018, memory: 27881, decode.loss_ce: 0.1247, decode.acc_seg: 95.3014, aux.loss_ce: 0.0562, aux.acc_seg: 94.8372, loss: 0.1809 2023-02-24 04:29:55,473 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 1 day, 22:48:08, time: 1.195, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1205, decode.acc_seg: 95.5053, aux.loss_ce: 0.0556, aux.acc_seg: 94.9674, loss: 0.1761 2023-02-24 04:30:52,270 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 1 day, 22:47:03, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1208, decode.acc_seg: 95.4207, aux.loss_ce: 0.0556, aux.acc_seg: 94.8775, loss: 0.1764 2023-02-24 04:31:48,973 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 1 day, 22:45:56, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1226, decode.acc_seg: 95.3599, aux.loss_ce: 0.0559, aux.acc_seg: 94.8499, loss: 0.1785 2023-02-24 04:32:45,912 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 1 day, 22:44:52, time: 1.139, data_time: 0.018, memory: 27881, decode.loss_ce: 0.1192, decode.acc_seg: 95.5264, aux.loss_ce: 0.0549, aux.acc_seg: 94.9244, loss: 0.1740 2023-02-24 04:33:46,459 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 1 day, 22:44:27, time: 1.211, data_time: 0.087, memory: 27881, decode.loss_ce: 0.1155, decode.acc_seg: 95.6630, aux.loss_ce: 0.0543, aux.acc_seg: 95.0532, loss: 0.1699 2023-02-24 04:34:43,161 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 1 day, 22:43:20, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1242, decode.acc_seg: 95.3643, aux.loss_ce: 0.0567, aux.acc_seg: 94.8397, loss: 0.1809 2023-02-24 04:35:39,786 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 1 day, 22:42:13, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1261, decode.acc_seg: 95.3426, aux.loss_ce: 0.0574, aux.acc_seg: 94.8456, loss: 0.1835 2023-02-24 04:36:36,575 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 1 day, 22:41:08, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1183, decode.acc_seg: 95.5462, aux.loss_ce: 0.0539, aux.acc_seg: 95.0550, loss: 0.1722 2023-02-24 04:37:37,460 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:37:37,461 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 1 day, 22:40:45, time: 1.218, data_time: 0.097, memory: 27881, decode.loss_ce: 0.1175, decode.acc_seg: 95.5258, aux.loss_ce: 0.0546, aux.acc_seg: 94.9589, loss: 0.1721 2023-02-24 04:38:34,117 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 1 day, 22:39:38, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1228, decode.acc_seg: 95.4968, aux.loss_ce: 0.0557, aux.acc_seg: 94.9932, loss: 0.1785 2023-02-24 04:39:31,091 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 1 day, 22:38:35, time: 1.139, data_time: 0.018, memory: 27881, decode.loss_ce: 0.1247, decode.acc_seg: 95.3631, aux.loss_ce: 0.0566, aux.acc_seg: 94.8306, loss: 0.1814 2023-02-24 04:40:31,417 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 1 day, 22:38:06, time: 1.206, data_time: 0.087, memory: 27881, decode.loss_ce: 0.1264, decode.acc_seg: 95.4482, aux.loss_ce: 0.0557, aux.acc_seg: 94.9588, loss: 0.1821 2023-02-24 04:41:27,961 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 1 day, 22:36:58, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1300, decode.acc_seg: 95.3549, aux.loss_ce: 0.0575, aux.acc_seg: 94.8268, loss: 0.1875 2023-02-24 04:42:24,500 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 1 day, 22:35:50, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1289, decode.acc_seg: 95.1985, aux.loss_ce: 0.0578, aux.acc_seg: 94.7336, loss: 0.1867 2023-02-24 04:43:21,266 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 1 day, 22:34:44, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1198, decode.acc_seg: 95.5053, aux.loss_ce: 0.0560, aux.acc_seg: 94.8306, loss: 0.1758 2023-02-24 04:44:21,504 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 1 day, 22:34:14, time: 1.205, data_time: 0.085, memory: 27881, decode.loss_ce: 0.1151, decode.acc_seg: 95.7006, aux.loss_ce: 0.0531, aux.acc_seg: 95.1601, loss: 0.1682 2023-02-24 04:45:18,112 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 1 day, 22:33:07, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1239, decode.acc_seg: 95.3539, aux.loss_ce: 0.0563, aux.acc_seg: 94.7783, loss: 0.1801 2023-02-24 04:46:14,755 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 1 day, 22:32:00, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1207, decode.acc_seg: 95.5367, aux.loss_ce: 0.0568, aux.acc_seg: 94.8154, loss: 0.1775 2023-02-24 04:47:11,594 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 1 day, 22:30:56, time: 1.137, data_time: 0.016, memory: 27881, decode.loss_ce: 0.1273, decode.acc_seg: 95.2601, aux.loss_ce: 0.0578, aux.acc_seg: 94.6956, loss: 0.1851 2023-02-24 04:48:11,350 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 1 day, 22:30:20, time: 1.195, data_time: 0.071, memory: 27881, decode.loss_ce: 0.1207, decode.acc_seg: 95.5399, aux.loss_ce: 0.0563, aux.acc_seg: 94.9079, loss: 0.1769 2023-02-24 04:49:08,065 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 1 day, 22:29:14, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1273, decode.acc_seg: 95.3486, aux.loss_ce: 0.0574, aux.acc_seg: 94.7354, loss: 0.1848 2023-02-24 04:50:04,675 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 1 day, 22:28:08, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1144, decode.acc_seg: 95.7294, aux.loss_ce: 0.0536, aux.acc_seg: 95.0730, loss: 0.1680 2023-02-24 04:51:04,774 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 1 day, 22:27:35, time: 1.202, data_time: 0.080, memory: 27881, decode.loss_ce: 0.1184, decode.acc_seg: 95.5470, aux.loss_ce: 0.0559, aux.acc_seg: 94.8344, loss: 0.1743 2023-02-24 04:52:01,613 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 1 day, 22:26:31, time: 1.137, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1130, decode.acc_seg: 95.7202, aux.loss_ce: 0.0535, aux.acc_seg: 95.0849, loss: 0.1665 2023-02-24 04:52:58,207 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 1 day, 22:25:24, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1137, decode.acc_seg: 95.8202, aux.loss_ce: 0.0528, aux.acc_seg: 95.1957, loss: 0.1665 2023-02-24 04:53:54,855 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 1 day, 22:24:17, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1147, decode.acc_seg: 95.6978, aux.loss_ce: 0.0536, aux.acc_seg: 95.0529, loss: 0.1683 2023-02-24 04:54:54,583 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 1 day, 22:23:41, time: 1.195, data_time: 0.075, memory: 27881, decode.loss_ce: 0.1312, decode.acc_seg: 95.1351, aux.loss_ce: 0.0609, aux.acc_seg: 94.4924, loss: 0.1920 2023-02-24 04:55:51,541 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 1 day, 22:22:38, time: 1.139, data_time: 0.021, memory: 27881, decode.loss_ce: 0.1173, decode.acc_seg: 95.5855, aux.loss_ce: 0.0543, aux.acc_seg: 94.9733, loss: 0.1716 2023-02-24 04:56:48,148 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:56:48,152 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 1 day, 22:21:31, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1321, decode.acc_seg: 95.1922, aux.loss_ce: 0.0572, aux.acc_seg: 94.8457, loss: 0.1893 2023-02-24 04:57:44,811 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 1 day, 22:20:25, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1198, decode.acc_seg: 95.5635, aux.loss_ce: 0.0541, aux.acc_seg: 95.0210, loss: 0.1739 2023-02-24 04:58:44,403 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 1 day, 22:19:47, time: 1.192, data_time: 0.073, memory: 27881, decode.loss_ce: 0.1163, decode.acc_seg: 95.6308, aux.loss_ce: 0.0561, aux.acc_seg: 94.8883, loss: 0.1723 2023-02-24 04:59:41,215 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 1 day, 22:18:42, time: 1.136, data_time: 0.016, memory: 27881, decode.loss_ce: 0.1107, decode.acc_seg: 95.8626, aux.loss_ce: 0.0535, aux.acc_seg: 95.0586, loss: 0.1642 2023-02-24 05:00:37,862 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 1 day, 22:17:36, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1054, decode.acc_seg: 95.9753, aux.loss_ce: 0.0517, aux.acc_seg: 95.2063, loss: 0.1571 2023-02-24 05:01:34,474 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 1 day, 22:16:30, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1191, decode.acc_seg: 95.4983, aux.loss_ce: 0.0566, aux.acc_seg: 94.8115, loss: 0.1757 2023-02-24 05:02:34,766 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 1 day, 22:15:58, time: 1.206, data_time: 0.085, memory: 27881, decode.loss_ce: 0.1086, decode.acc_seg: 95.8691, aux.loss_ce: 0.0517, aux.acc_seg: 95.1932, loss: 0.1603 2023-02-24 05:03:31,294 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 1 day, 22:14:51, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1102, decode.acc_seg: 95.8645, aux.loss_ce: 0.0531, aux.acc_seg: 95.1195, loss: 0.1633 2023-02-24 05:04:27,848 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 1 day, 22:13:44, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1153, decode.acc_seg: 95.7196, aux.loss_ce: 0.0545, aux.acc_seg: 95.0562, loss: 0.1698 2023-02-24 05:05:27,370 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 1 day, 22:13:05, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.1109, decode.acc_seg: 95.8580, aux.loss_ce: 0.0525, aux.acc_seg: 95.1417, loss: 0.1634 2023-02-24 05:06:23,947 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 1 day, 22:11:58, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1130, decode.acc_seg: 95.7004, aux.loss_ce: 0.0531, aux.acc_seg: 95.0693, loss: 0.1661 2023-02-24 05:07:20,618 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 1 day, 22:10:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1198, decode.acc_seg: 95.6383, aux.loss_ce: 0.0548, aux.acc_seg: 95.0188, loss: 0.1746 2023-02-24 05:08:17,263 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 1 day, 22:09:47, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1162, decode.acc_seg: 95.6166, aux.loss_ce: 0.0554, aux.acc_seg: 94.8507, loss: 0.1716 2023-02-24 05:09:16,805 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 1 day, 22:09:08, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.1061, decode.acc_seg: 95.9845, aux.loss_ce: 0.0523, aux.acc_seg: 95.1914, loss: 0.1584 2023-02-24 05:10:13,491 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 1 day, 22:08:02, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1107, decode.acc_seg: 95.7953, aux.loss_ce: 0.0533, aux.acc_seg: 94.9880, loss: 0.1640 2023-02-24 05:11:10,139 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 1 day, 22:06:56, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1137, decode.acc_seg: 95.7178, aux.loss_ce: 0.0544, aux.acc_seg: 95.0052, loss: 0.1681 2023-02-24 05:12:06,867 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 1 day, 22:05:51, time: 1.135, data_time: 0.015, memory: 27881, decode.loss_ce: 0.1163, decode.acc_seg: 95.6429, aux.loss_ce: 0.0556, aux.acc_seg: 94.9198, loss: 0.1719 2023-02-24 05:13:06,519 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 1 day, 22:05:13, time: 1.193, data_time: 0.072, memory: 27881, decode.loss_ce: 0.1286, decode.acc_seg: 95.1748, aux.loss_ce: 0.0586, aux.acc_seg: 94.6542, loss: 0.1872 2023-02-24 05:14:03,177 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 1 day, 22:04:07, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1125, decode.acc_seg: 95.7509, aux.loss_ce: 0.0540, aux.acc_seg: 94.9917, loss: 0.1665 2023-02-24 05:14:59,797 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 1 day, 22:03:01, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1103, decode.acc_seg: 95.8715, aux.loss_ce: 0.0542, aux.acc_seg: 95.0296, loss: 0.1645 2023-02-24 05:16:00,259 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-02-24 05:16:03,977 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:16:04,008 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 1 day, 22:03:04, time: 1.284, data_time: 0.088, memory: 27881, decode.loss_ce: 0.1147, decode.acc_seg: 95.7159, aux.loss_ce: 0.0545, aux.acc_seg: 95.0995, loss: 0.1692 2023-02-24 05:17:19,992 - mmseg - INFO - per class results: 2023-02-24 05:17:20,017 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.29 | 98.89 | | sidewalk | 86.27 | 94.07 | | building | 90.31 | 92.01 | | wall | 59.66 | 73.5 | | fence | 58.4 | 63.89 | | pole | 59.73 | 84.42 | | traffic light | 68.49 | 88.47 | | traffic sign | 78.45 | 89.19 | | vegetation | 91.58 | 97.43 | | terrain | 65.34 | 77.23 | | sky | 94.0 | 98.01 | | person | 83.04 | 91.81 | | rider | 64.79 | 79.3 | | car | 91.21 | 99.08 | | truck | 61.15 | 70.24 | | bus | 72.71 | 76.4 | | train | 55.18 | 81.07 | | motorcycle | 66.64 | 76.41 | | bicycle | 78.43 | 89.52 | +---------------+-------+-------+ 2023-02-24 05:17:20,017 - mmseg - INFO - Summary: 2023-02-24 05:17:20,017 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 95.49 | 74.93 | 85.31 | +-------+-------+-------+ 2023-02-24 05:17:23,493 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-02-24 05:17:23,499 - mmseg - INFO - Best mIoU is 0.7493 at 16000 iter. 2023-02-24 05:17:23,500 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:17:23,500 - mmseg - INFO - Iter(val) [125] aAcc: 0.9549, mIoU: 0.7493, mAcc: 0.8531, IoU.road: 0.9829, IoU.sidewalk: 0.8627, IoU.building: 0.9031, IoU.wall: 0.5966, IoU.fence: 0.5840, IoU.pole: 0.5973, IoU.traffic light: 0.6849, IoU.traffic sign: 0.7845, IoU.vegetation: 0.9158, IoU.terrain: 0.6534, IoU.sky: 0.9400, IoU.person: 0.8304, IoU.rider: 0.6479, IoU.car: 0.9121, IoU.truck: 0.6115, IoU.bus: 0.7271, IoU.train: 0.5518, IoU.motorcycle: 0.6664, IoU.bicycle: 0.7843, Acc.road: 0.9889, Acc.sidewalk: 0.9407, Acc.building: 0.9201, Acc.wall: 0.7350, Acc.fence: 0.6389, Acc.pole: 0.8442, Acc.traffic light: 0.8847, Acc.traffic sign: 0.8919, Acc.vegetation: 0.9743, Acc.terrain: 0.7723, Acc.sky: 0.9801, Acc.person: 0.9181, Acc.rider: 0.7930, Acc.car: 0.9908, Acc.truck: 0.7024, Acc.bus: 0.7640, Acc.train: 0.8107, Acc.motorcycle: 0.7641, Acc.bicycle: 0.8952 2023-02-24 05:18:20,180 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 1 day, 22:13:51, time: 2.724, data_time: 1.602, memory: 27881, decode.loss_ce: 0.1137, decode.acc_seg: 95.7474, aux.loss_ce: 0.0537, aux.acc_seg: 95.0719, loss: 0.1674 2023-02-24 05:19:16,983 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 1 day, 22:12:44, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1146, decode.acc_seg: 95.7246, aux.loss_ce: 0.0528, aux.acc_seg: 95.1037, loss: 0.1673 2023-02-24 05:20:13,608 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 1 day, 22:11:36, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1179, decode.acc_seg: 95.5254, aux.loss_ce: 0.0546, aux.acc_seg: 94.9180, loss: 0.1724 2023-02-24 05:21:13,298 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 1 day, 22:10:55, time: 1.194, data_time: 0.072, memory: 27881, decode.loss_ce: 0.1161, decode.acc_seg: 95.5913, aux.loss_ce: 0.0546, aux.acc_seg: 94.9619, loss: 0.1707 2023-02-24 05:22:09,935 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 1 day, 22:09:47, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.1076, decode.acc_seg: 95.9395, aux.loss_ce: 0.0514, aux.acc_seg: 95.2360, loss: 0.1590 2023-02-24 05:23:06,657 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 1 day, 22:08:40, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1084, decode.acc_seg: 95.9249, aux.loss_ce: 0.0528, aux.acc_seg: 95.1370, loss: 0.1612 2023-02-24 05:24:03,394 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 1 day, 22:07:32, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1145, decode.acc_seg: 95.7089, aux.loss_ce: 0.0562, aux.acc_seg: 94.8237, loss: 0.1707 2023-02-24 05:25:03,155 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 1 day, 22:06:52, time: 1.195, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1110, decode.acc_seg: 95.7915, aux.loss_ce: 0.0527, aux.acc_seg: 95.1137, loss: 0.1637 2023-02-24 05:25:59,860 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 1 day, 22:05:44, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1065, decode.acc_seg: 96.0211, aux.loss_ce: 0.0514, aux.acc_seg: 95.2855, loss: 0.1580 2023-02-24 05:26:56,690 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 1 day, 22:04:38, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1083, decode.acc_seg: 95.9246, aux.loss_ce: 0.0523, aux.acc_seg: 95.2135, loss: 0.1606 2023-02-24 05:27:53,320 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 1 day, 22:03:30, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1085, decode.acc_seg: 95.8826, aux.loss_ce: 0.0533, aux.acc_seg: 95.0403, loss: 0.1618 2023-02-24 05:28:53,088 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 1 day, 22:02:49, time: 1.195, data_time: 0.073, memory: 27881, decode.loss_ce: 0.1193, decode.acc_seg: 95.5697, aux.loss_ce: 0.0564, aux.acc_seg: 94.9128, loss: 0.1757 2023-02-24 05:29:49,760 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 1 day, 22:01:42, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1059, decode.acc_seg: 96.0158, aux.loss_ce: 0.0523, aux.acc_seg: 95.1673, loss: 0.1582 2023-02-24 05:30:46,685 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 1 day, 22:00:37, time: 1.139, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1080, decode.acc_seg: 95.9120, aux.loss_ce: 0.0536, aux.acc_seg: 95.0438, loss: 0.1616 2023-02-24 05:31:47,205 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 1 day, 22:00:02, time: 1.210, data_time: 0.091, memory: 27881, decode.loss_ce: 0.1124, decode.acc_seg: 95.7301, aux.loss_ce: 0.0549, aux.acc_seg: 94.9096, loss: 0.1673 2023-02-24 05:32:43,828 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 1 day, 21:58:54, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1152, decode.acc_seg: 95.6818, aux.loss_ce: 0.0545, aux.acc_seg: 94.9730, loss: 0.1697 2023-02-24 05:33:40,495 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 1 day, 21:57:47, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1056, decode.acc_seg: 96.0282, aux.loss_ce: 0.0512, aux.acc_seg: 95.2551, loss: 0.1567 2023-02-24 05:34:37,205 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 1 day, 21:56:40, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1050, decode.acc_seg: 96.0278, aux.loss_ce: 0.0534, aux.acc_seg: 95.0390, loss: 0.1585 2023-02-24 05:35:37,606 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 1 day, 21:56:04, time: 1.208, data_time: 0.083, memory: 27881, decode.loss_ce: 0.1068, decode.acc_seg: 95.8714, aux.loss_ce: 0.0521, aux.acc_seg: 95.1538, loss: 0.1589 2023-02-24 05:36:34,223 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:36:34,223 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 1 day, 21:54:56, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1003, decode.acc_seg: 96.2230, aux.loss_ce: 0.0502, aux.acc_seg: 95.3865, loss: 0.1505 2023-02-24 05:37:30,764 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 1 day, 21:53:48, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1027, decode.acc_seg: 96.1279, aux.loss_ce: 0.0502, aux.acc_seg: 95.3296, loss: 0.1529 2023-02-24 05:38:27,458 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 1 day, 21:52:41, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1094, decode.acc_seg: 95.8629, aux.loss_ce: 0.0538, aux.acc_seg: 95.0240, loss: 0.1632 2023-02-24 05:39:27,283 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 1 day, 21:52:00, time: 1.197, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1002, decode.acc_seg: 96.1591, aux.loss_ce: 0.0506, aux.acc_seg: 95.2847, loss: 0.1508 2023-02-24 05:40:24,136 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 1 day, 21:50:55, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1117, decode.acc_seg: 95.8553, aux.loss_ce: 0.0538, aux.acc_seg: 95.0272, loss: 0.1655 2023-02-24 05:41:20,738 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 1 day, 21:49:47, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1081, decode.acc_seg: 95.9618, aux.loss_ce: 0.0529, aux.acc_seg: 95.1264, loss: 0.1611 2023-02-24 05:42:20,813 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 1 day, 21:49:08, time: 1.201, data_time: 0.078, memory: 27881, decode.loss_ce: 0.1057, decode.acc_seg: 95.9947, aux.loss_ce: 0.0514, aux.acc_seg: 95.2079, loss: 0.1571 2023-02-24 05:43:17,367 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 1 day, 21:48:00, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1117, decode.acc_seg: 95.7907, aux.loss_ce: 0.0557, aux.acc_seg: 94.9305, loss: 0.1675 2023-02-24 05:44:14,092 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 1 day, 21:46:53, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1291, decode.acc_seg: 95.1914, aux.loss_ce: 0.0574, aux.acc_seg: 94.6485, loss: 0.1864 2023-02-24 05:45:10,777 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 1 day, 21:45:47, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1118, decode.acc_seg: 95.7939, aux.loss_ce: 0.0523, aux.acc_seg: 95.1239, loss: 0.1641 2023-02-24 05:46:10,454 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 1 day, 21:45:04, time: 1.193, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1101, decode.acc_seg: 95.8047, aux.loss_ce: 0.0540, aux.acc_seg: 94.9574, loss: 0.1641 2023-02-24 05:47:07,192 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 1 day, 21:43:58, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1066, decode.acc_seg: 95.9620, aux.loss_ce: 0.0518, aux.acc_seg: 95.1836, loss: 0.1583 2023-02-24 05:48:03,834 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 1 day, 21:42:51, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1034, decode.acc_seg: 96.0732, aux.loss_ce: 0.0528, aux.acc_seg: 95.0894, loss: 0.1562 2023-02-24 05:49:00,475 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 1 day, 21:41:44, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1057, decode.acc_seg: 95.9779, aux.loss_ce: 0.0514, aux.acc_seg: 95.2194, loss: 0.1571 2023-02-24 05:50:00,388 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 1 day, 21:41:03, time: 1.198, data_time: 0.076, memory: 27881, decode.loss_ce: 0.1105, decode.acc_seg: 95.8432, aux.loss_ce: 0.0514, aux.acc_seg: 95.3279, loss: 0.1618 2023-02-24 05:50:57,022 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 1 day, 21:39:56, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1159, decode.acc_seg: 95.6080, aux.loss_ce: 0.0528, aux.acc_seg: 95.0811, loss: 0.1688 2023-02-24 05:51:53,728 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 1 day, 21:38:50, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1026, decode.acc_seg: 96.0798, aux.loss_ce: 0.0494, aux.acc_seg: 95.3843, loss: 0.1520 2023-02-24 05:52:50,329 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 1 day, 21:37:43, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1036, decode.acc_seg: 96.0789, aux.loss_ce: 0.0507, aux.acc_seg: 95.2949, loss: 0.1543 2023-02-24 05:53:51,568 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 1 day, 21:37:12, time: 1.225, data_time: 0.099, memory: 27881, decode.loss_ce: 0.1038, decode.acc_seg: 96.0218, aux.loss_ce: 0.0507, aux.acc_seg: 95.2495, loss: 0.1544 2023-02-24 05:54:48,172 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 1 day, 21:36:05, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0999, decode.acc_seg: 96.2230, aux.loss_ce: 0.0487, aux.acc_seg: 95.4829, loss: 0.1486 2023-02-24 05:55:44,895 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:55:44,896 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 1 day, 21:34:59, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1026, decode.acc_seg: 96.1217, aux.loss_ce: 0.0504, aux.acc_seg: 95.3343, loss: 0.1530 2023-02-24 05:56:45,991 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 1 day, 21:34:27, time: 1.222, data_time: 0.102, memory: 27881, decode.loss_ce: 0.1065, decode.acc_seg: 95.9951, aux.loss_ce: 0.0551, aux.acc_seg: 95.0870, loss: 0.1616 2023-02-24 05:57:42,607 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 1 day, 21:33:20, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1022, decode.acc_seg: 96.1380, aux.loss_ce: 0.0501, aux.acc_seg: 95.3785, loss: 0.1523 2023-02-24 05:58:39,261 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 1 day, 21:32:14, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1022, decode.acc_seg: 96.1512, aux.loss_ce: 0.0507, aux.acc_seg: 95.3248, loss: 0.1529 2023-02-24 05:59:35,882 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 1 day, 21:31:07, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1067, decode.acc_seg: 95.9638, aux.loss_ce: 0.0519, aux.acc_seg: 95.1959, loss: 0.1585 2023-02-24 06:00:36,198 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 1 day, 21:30:29, time: 1.206, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0983, decode.acc_seg: 96.3024, aux.loss_ce: 0.0488, aux.acc_seg: 95.5181, loss: 0.1471 2023-02-24 06:01:32,980 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 1 day, 21:29:23, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1039, decode.acc_seg: 96.0647, aux.loss_ce: 0.0513, aux.acc_seg: 95.2200, loss: 0.1552 2023-02-24 06:02:29,625 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 1 day, 21:28:16, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1020, decode.acc_seg: 96.1261, aux.loss_ce: 0.0501, aux.acc_seg: 95.3355, loss: 0.1521 2023-02-24 06:03:26,502 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 1 day, 21:27:12, time: 1.138, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0953, decode.acc_seg: 96.3779, aux.loss_ce: 0.0483, aux.acc_seg: 95.5075, loss: 0.1435 2023-02-24 06:04:26,814 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 1 day, 21:26:33, time: 1.206, data_time: 0.085, memory: 27881, decode.loss_ce: 0.1081, decode.acc_seg: 95.9294, aux.loss_ce: 0.0534, aux.acc_seg: 95.0983, loss: 0.1616 2023-02-24 06:05:23,440 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 1 day, 21:25:27, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1005, decode.acc_seg: 96.1815, aux.loss_ce: 0.0493, aux.acc_seg: 95.4048, loss: 0.1498 2023-02-24 06:06:20,165 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 1 day, 21:24:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1026, decode.acc_seg: 96.1015, aux.loss_ce: 0.0502, aux.acc_seg: 95.3308, loss: 0.1528 2023-02-24 06:07:17,407 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 1 day, 21:23:19, time: 1.145, data_time: 0.024, memory: 27881, decode.loss_ce: 0.1150, decode.acc_seg: 95.7333, aux.loss_ce: 0.0556, aux.acc_seg: 94.9120, loss: 0.1706 2023-02-24 06:08:17,884 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 1 day, 21:22:42, time: 1.210, data_time: 0.088, memory: 27881, decode.loss_ce: 0.1181, decode.acc_seg: 95.5738, aux.loss_ce: 0.0557, aux.acc_seg: 94.8272, loss: 0.1738 2023-02-24 06:09:14,537 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 1 day, 21:21:35, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1106, decode.acc_seg: 95.9413, aux.loss_ce: 0.0545, aux.acc_seg: 95.0737, loss: 0.1651 2023-02-24 06:10:11,217 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 1 day, 21:20:29, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0956, decode.acc_seg: 96.3564, aux.loss_ce: 0.0487, aux.acc_seg: 95.4321, loss: 0.1442 2023-02-24 06:11:10,924 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 1 day, 21:19:46, time: 1.194, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0977, decode.acc_seg: 96.2391, aux.loss_ce: 0.0492, aux.acc_seg: 95.4028, loss: 0.1469 2023-02-24 06:12:07,602 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 1 day, 21:18:40, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0989, decode.acc_seg: 96.2434, aux.loss_ce: 0.0485, aux.acc_seg: 95.4459, loss: 0.1474 2023-02-24 06:13:04,247 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 1 day, 21:17:33, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1044, decode.acc_seg: 95.9853, aux.loss_ce: 0.0510, aux.acc_seg: 95.1911, loss: 0.1554 2023-02-24 06:14:00,979 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 1 day, 21:16:28, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1052, decode.acc_seg: 96.0607, aux.loss_ce: 0.0515, aux.acc_seg: 95.2652, loss: 0.1567 2023-02-24 06:15:00,753 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:15:00,753 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 1 day, 21:15:45, time: 1.196, data_time: 0.070, memory: 27881, decode.loss_ce: 0.1016, decode.acc_seg: 96.1842, aux.loss_ce: 0.0499, aux.acc_seg: 95.4207, loss: 0.1516 2023-02-24 06:15:57,771 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 1 day, 21:14:41, time: 1.140, data_time: 0.017, memory: 27881, decode.loss_ce: 0.1019, decode.acc_seg: 96.1201, aux.loss_ce: 0.0509, aux.acc_seg: 95.2566, loss: 0.1528 2023-02-24 06:16:54,394 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 1 day, 21:13:35, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1001, decode.acc_seg: 96.1801, aux.loss_ce: 0.0498, aux.acc_seg: 95.3334, loss: 0.1499 2023-02-24 06:17:51,101 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 1 day, 21:12:29, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1049, decode.acc_seg: 96.0305, aux.loss_ce: 0.0515, aux.acc_seg: 95.2168, loss: 0.1564 2023-02-24 06:18:50,791 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 1 day, 21:11:46, time: 1.194, data_time: 0.074, memory: 27881, decode.loss_ce: 0.1238, decode.acc_seg: 95.4576, aux.loss_ce: 0.0547, aux.acc_seg: 94.9801, loss: 0.1784 2023-02-24 06:19:47,885 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 1 day, 21:10:43, time: 1.142, data_time: 0.018, memory: 27881, decode.loss_ce: 0.1078, decode.acc_seg: 95.8862, aux.loss_ce: 0.0510, aux.acc_seg: 95.2327, loss: 0.1588 2023-02-24 06:20:44,579 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 1 day, 21:09:37, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1044, decode.acc_seg: 96.0354, aux.loss_ce: 0.0512, aux.acc_seg: 95.2605, loss: 0.1556 2023-02-24 06:21:44,428 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 1 day, 21:08:55, time: 1.197, data_time: 0.073, memory: 27881, decode.loss_ce: 0.1015, decode.acc_seg: 96.0748, aux.loss_ce: 0.0499, aux.acc_seg: 95.3318, loss: 0.1513 2023-02-24 06:22:41,131 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 1 day, 21:07:49, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0996, decode.acc_seg: 96.2718, aux.loss_ce: 0.0491, aux.acc_seg: 95.4385, loss: 0.1486 2023-02-24 06:23:37,814 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 1 day, 21:06:43, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1026, decode.acc_seg: 96.1595, aux.loss_ce: 0.0505, aux.acc_seg: 95.3699, loss: 0.1531 2023-02-24 06:24:34,509 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 1 day, 21:05:38, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1009, decode.acc_seg: 96.1608, aux.loss_ce: 0.0504, aux.acc_seg: 95.3094, loss: 0.1513 2023-02-24 06:25:34,907 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 1 day, 21:04:59, time: 1.208, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0953, decode.acc_seg: 96.3473, aux.loss_ce: 0.0502, aux.acc_seg: 95.3377, loss: 0.1455 2023-02-24 06:26:31,597 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 1 day, 21:03:53, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0969, decode.acc_seg: 96.2764, aux.loss_ce: 0.0505, aux.acc_seg: 95.2844, loss: 0.1475 2023-02-24 06:27:28,393 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 1 day, 21:02:48, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1007, decode.acc_seg: 96.2165, aux.loss_ce: 0.0505, aux.acc_seg: 95.3237, loss: 0.1512 2023-02-24 06:28:25,045 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 1 day, 21:01:43, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1045, decode.acc_seg: 96.1519, aux.loss_ce: 0.0511, aux.acc_seg: 95.2653, loss: 0.1557 2023-02-24 06:29:25,404 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 1 day, 21:01:03, time: 1.207, data_time: 0.087, memory: 27881, decode.loss_ce: 0.1017, decode.acc_seg: 96.1421, aux.loss_ce: 0.0500, aux.acc_seg: 95.3344, loss: 0.1516 2023-02-24 06:30:22,770 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 1 day, 21:00:03, time: 1.147, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0998, decode.acc_seg: 96.2034, aux.loss_ce: 0.0514, aux.acc_seg: 95.2218, loss: 0.1512 2023-02-24 06:31:19,487 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 1 day, 20:58:57, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1026, decode.acc_seg: 96.0491, aux.loss_ce: 0.0505, aux.acc_seg: 95.2571, loss: 0.1531 2023-02-24 06:32:16,171 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 1 day, 20:57:52, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0962, decode.acc_seg: 96.3091, aux.loss_ce: 0.0486, aux.acc_seg: 95.4488, loss: 0.1448 2023-02-24 06:33:16,707 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 1 day, 20:57:14, time: 1.211, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0979, decode.acc_seg: 96.2036, aux.loss_ce: 0.0481, aux.acc_seg: 95.4315, loss: 0.1460 2023-02-24 06:34:13,357 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:34:13,362 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 1 day, 20:56:08, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0974, decode.acc_seg: 96.3381, aux.loss_ce: 0.0500, aux.acc_seg: 95.3404, loss: 0.1474 2023-02-24 06:35:10,009 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 1 day, 20:55:02, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1014, decode.acc_seg: 96.3113, aux.loss_ce: 0.0483, aux.acc_seg: 95.6398, loss: 0.1496 2023-02-24 06:36:10,241 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 1 day, 20:54:22, time: 1.205, data_time: 0.084, memory: 27881, decode.loss_ce: 0.1088, decode.acc_seg: 95.9839, aux.loss_ce: 0.0528, aux.acc_seg: 95.0799, loss: 0.1617 2023-02-24 06:37:06,992 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 1 day, 20:53:17, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1014, decode.acc_seg: 96.1587, aux.loss_ce: 0.0512, aux.acc_seg: 95.2968, loss: 0.1527 2023-02-24 06:38:03,610 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 1 day, 20:52:11, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0991, decode.acc_seg: 96.2416, aux.loss_ce: 0.0506, aux.acc_seg: 95.3250, loss: 0.1498 2023-02-24 06:39:00,274 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 1 day, 20:51:06, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0967, decode.acc_seg: 96.2850, aux.loss_ce: 0.0466, aux.acc_seg: 95.6330, loss: 0.1433 2023-02-24 06:40:00,871 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 1 day, 20:50:27, time: 1.212, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0988, decode.acc_seg: 96.2578, aux.loss_ce: 0.0494, aux.acc_seg: 95.4071, loss: 0.1482 2023-02-24 06:40:57,917 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 1 day, 20:49:24, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0937, decode.acc_seg: 96.4531, aux.loss_ce: 0.0469, aux.acc_seg: 95.6316, loss: 0.1406 2023-02-24 06:41:54,512 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 1 day, 20:48:19, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0924, decode.acc_seg: 96.4338, aux.loss_ce: 0.0488, aux.acc_seg: 95.3599, loss: 0.1412 2023-02-24 06:42:51,156 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 1 day, 20:47:13, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0976, decode.acc_seg: 96.3003, aux.loss_ce: 0.0503, aux.acc_seg: 95.2999, loss: 0.1479 2023-02-24 06:43:51,785 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 1 day, 20:46:35, time: 1.212, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0980, decode.acc_seg: 96.2401, aux.loss_ce: 0.0501, aux.acc_seg: 95.2884, loss: 0.1480 2023-02-24 06:44:48,432 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 1 day, 20:45:29, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1117, decode.acc_seg: 95.7984, aux.loss_ce: 0.0547, aux.acc_seg: 94.9418, loss: 0.1664 2023-02-24 06:45:45,040 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 1 day, 20:44:24, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1219, decode.acc_seg: 95.4200, aux.loss_ce: 0.0580, aux.acc_seg: 94.5806, loss: 0.1799 2023-02-24 06:46:44,899 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 1 day, 20:43:40, time: 1.197, data_time: 0.072, memory: 27881, decode.loss_ce: 0.1068, decode.acc_seg: 96.0495, aux.loss_ce: 0.0525, aux.acc_seg: 95.1286, loss: 0.1593 2023-02-24 06:47:41,587 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 1 day, 20:42:35, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1116, decode.acc_seg: 95.8329, aux.loss_ce: 0.0553, aux.acc_seg: 94.9009, loss: 0.1669 2023-02-24 06:48:38,334 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 1 day, 20:41:30, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0986, decode.acc_seg: 96.2376, aux.loss_ce: 0.0499, aux.acc_seg: 95.3379, loss: 0.1485 2023-02-24 06:49:35,003 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 1 day, 20:40:25, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0942, decode.acc_seg: 96.3957, aux.loss_ce: 0.0476, aux.acc_seg: 95.5656, loss: 0.1418 2023-02-24 06:50:34,853 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 1 day, 20:39:41, time: 1.197, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0945, decode.acc_seg: 96.3617, aux.loss_ce: 0.0479, aux.acc_seg: 95.5211, loss: 0.1425 2023-02-24 06:51:31,550 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 1 day, 20:38:36, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1003, decode.acc_seg: 96.2239, aux.loss_ce: 0.0492, aux.acc_seg: 95.4400, loss: 0.1495 2023-02-24 06:52:28,310 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 1 day, 20:37:32, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0974, decode.acc_seg: 96.2730, aux.loss_ce: 0.0490, aux.acc_seg: 95.3990, loss: 0.1464 2023-02-24 06:53:25,013 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:53:25,024 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 1 day, 20:36:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0950, decode.acc_seg: 96.4024, aux.loss_ce: 0.0485, aux.acc_seg: 95.4772, loss: 0.1435 2023-02-24 06:54:24,778 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 1 day, 20:35:42, time: 1.195, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0963, decode.acc_seg: 96.3808, aux.loss_ce: 0.0493, aux.acc_seg: 95.4302, loss: 0.1457 2023-02-24 06:55:21,361 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 1 day, 20:34:37, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.1022, decode.acc_seg: 96.1349, aux.loss_ce: 0.0505, aux.acc_seg: 95.3704, loss: 0.1527 2023-02-24 06:56:18,322 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 1 day, 20:33:34, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.1021, decode.acc_seg: 96.1484, aux.loss_ce: 0.0497, aux.acc_seg: 95.3633, loss: 0.1518 2023-02-24 06:57:15,025 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 1 day, 20:32:29, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0991, decode.acc_seg: 96.1829, aux.loss_ce: 0.0503, aux.acc_seg: 95.2375, loss: 0.1494 2023-02-24 06:58:15,121 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 1 day, 20:31:47, time: 1.202, data_time: 0.081, memory: 27881, decode.loss_ce: 0.1006, decode.acc_seg: 96.1323, aux.loss_ce: 0.0507, aux.acc_seg: 95.2085, loss: 0.1513 2023-02-24 06:59:11,760 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 1 day, 20:30:41, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0957, decode.acc_seg: 96.3183, aux.loss_ce: 0.0500, aux.acc_seg: 95.2757, loss: 0.1457 2023-02-24 07:00:08,405 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 1 day, 20:29:36, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0968, decode.acc_seg: 96.3038, aux.loss_ce: 0.0484, aux.acc_seg: 95.4507, loss: 0.1452 2023-02-24 07:01:08,900 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 1 day, 20:28:56, time: 1.210, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0966, decode.acc_seg: 96.3075, aux.loss_ce: 0.0480, aux.acc_seg: 95.4709, loss: 0.1446 2023-02-24 07:02:05,440 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 1 day, 20:27:51, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0963, decode.acc_seg: 96.2867, aux.loss_ce: 0.0476, aux.acc_seg: 95.5191, loss: 0.1439 2023-02-24 07:03:02,085 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 1 day, 20:26:45, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0924, decode.acc_seg: 96.5238, aux.loss_ce: 0.0469, aux.acc_seg: 95.6591, loss: 0.1393 2023-02-24 07:03:58,808 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 1 day, 20:25:41, time: 1.135, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0929, decode.acc_seg: 96.4191, aux.loss_ce: 0.0481, aux.acc_seg: 95.4978, loss: 0.1410 2023-02-24 07:04:58,598 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 1 day, 20:24:56, time: 1.196, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0930, decode.acc_seg: 96.4577, aux.loss_ce: 0.0472, aux.acc_seg: 95.5737, loss: 0.1401 2023-02-24 07:05:55,262 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 1 day, 20:23:52, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0970, decode.acc_seg: 96.2654, aux.loss_ce: 0.0498, aux.acc_seg: 95.3546, loss: 0.1468 2023-02-24 07:06:51,933 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 1 day, 20:22:47, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0918, decode.acc_seg: 96.4838, aux.loss_ce: 0.0479, aux.acc_seg: 95.5060, loss: 0.1397 2023-02-24 07:07:49,161 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 1 day, 20:21:46, time: 1.144, data_time: 0.024, memory: 27881, decode.loss_ce: 0.1027, decode.acc_seg: 96.1316, aux.loss_ce: 0.0492, aux.acc_seg: 95.4327, loss: 0.1519 2023-02-24 07:08:49,200 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 1 day, 20:21:02, time: 1.201, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0987, decode.acc_seg: 96.2833, aux.loss_ce: 0.0484, aux.acc_seg: 95.4514, loss: 0.1471 2023-02-24 07:09:45,875 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 1 day, 20:19:58, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0949, decode.acc_seg: 96.3629, aux.loss_ce: 0.0488, aux.acc_seg: 95.4385, loss: 0.1437 2023-02-24 07:10:42,529 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 1 day, 20:18:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0952, decode.acc_seg: 96.3634, aux.loss_ce: 0.0486, aux.acc_seg: 95.4067, loss: 0.1438 2023-02-24 07:11:42,236 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 1 day, 20:18:07, time: 1.194, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0975, decode.acc_seg: 96.2756, aux.loss_ce: 0.0489, aux.acc_seg: 95.3843, loss: 0.1464 2023-02-24 07:12:39,096 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:12:39,098 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 1 day, 20:17:04, time: 1.137, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0940, decode.acc_seg: 96.4071, aux.loss_ce: 0.0491, aux.acc_seg: 95.4639, loss: 0.1432 2023-02-24 07:13:35,659 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 1 day, 20:15:59, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0940, decode.acc_seg: 96.3715, aux.loss_ce: 0.0478, aux.acc_seg: 95.4904, loss: 0.1418 2023-02-24 07:14:32,259 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 1 day, 20:14:54, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0962, decode.acc_seg: 96.3013, aux.loss_ce: 0.0508, aux.acc_seg: 95.2433, loss: 0.1470 2023-02-24 07:15:32,102 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 1 day, 20:14:09, time: 1.197, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0989, decode.acc_seg: 96.2494, aux.loss_ce: 0.0484, aux.acc_seg: 95.5667, loss: 0.1472 2023-02-24 07:16:29,180 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 1 day, 20:13:07, time: 1.142, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0977, decode.acc_seg: 96.2720, aux.loss_ce: 0.0496, aux.acc_seg: 95.3488, loss: 0.1474 2023-02-24 07:17:25,940 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 1 day, 20:12:03, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0904, decode.acc_seg: 96.5368, aux.loss_ce: 0.0475, aux.acc_seg: 95.5400, loss: 0.1380 2023-02-24 07:18:22,693 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 1 day, 20:10:59, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0934, decode.acc_seg: 96.4155, aux.loss_ce: 0.0478, aux.acc_seg: 95.4939, loss: 0.1412 2023-02-24 07:19:23,074 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 1 day, 20:10:17, time: 1.208, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0970, decode.acc_seg: 96.3467, aux.loss_ce: 0.0480, aux.acc_seg: 95.5419, loss: 0.1449 2023-02-24 07:20:20,203 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 1 day, 20:09:16, time: 1.143, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0945, decode.acc_seg: 96.4050, aux.loss_ce: 0.0487, aux.acc_seg: 95.4654, loss: 0.1432 2023-02-24 07:21:16,939 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 1 day, 20:08:12, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.1002, decode.acc_seg: 96.1342, aux.loss_ce: 0.0516, aux.acc_seg: 95.1607, loss: 0.1517 2023-02-24 07:22:13,627 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 1 day, 20:07:07, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.1057, decode.acc_seg: 96.0679, aux.loss_ce: 0.0509, aux.acc_seg: 95.2773, loss: 0.1566 2023-02-24 07:23:14,402 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 1 day, 20:06:28, time: 1.216, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0964, decode.acc_seg: 96.3416, aux.loss_ce: 0.0474, aux.acc_seg: 95.5630, loss: 0.1438 2023-02-24 07:24:11,657 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 1 day, 20:05:27, time: 1.145, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0920, decode.acc_seg: 96.4541, aux.loss_ce: 0.0467, aux.acc_seg: 95.5784, loss: 0.1387 2023-02-24 07:25:08,340 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 1 day, 20:04:23, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0981, decode.acc_seg: 96.4070, aux.loss_ce: 0.0476, aux.acc_seg: 95.6198, loss: 0.1457 2023-02-24 07:26:08,117 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 1 day, 20:03:37, time: 1.195, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0991, decode.acc_seg: 96.3055, aux.loss_ce: 0.0486, aux.acc_seg: 95.5031, loss: 0.1477 2023-02-24 07:27:04,805 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 1 day, 20:02:33, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0916, decode.acc_seg: 96.4852, aux.loss_ce: 0.0463, aux.acc_seg: 95.6099, loss: 0.1379 2023-02-24 07:28:01,857 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 1 day, 20:01:31, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0943, decode.acc_seg: 96.3554, aux.loss_ce: 0.0486, aux.acc_seg: 95.4114, loss: 0.1429 2023-02-24 07:28:58,449 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 1 day, 20:00:26, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0959, decode.acc_seg: 96.3364, aux.loss_ce: 0.0488, aux.acc_seg: 95.4391, loss: 0.1447 2023-02-24 07:29:58,027 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 1 day, 19:59:39, time: 1.192, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0903, decode.acc_seg: 96.5574, aux.loss_ce: 0.0466, aux.acc_seg: 95.6472, loss: 0.1369 2023-02-24 07:30:54,690 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 1 day, 19:58:35, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0904, decode.acc_seg: 96.5381, aux.loss_ce: 0.0466, aux.acc_seg: 95.6252, loss: 0.1370 2023-02-24 07:31:51,915 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:31:51,924 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 1 day, 19:57:34, time: 1.145, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0912, decode.acc_seg: 96.5149, aux.loss_ce: 0.0476, aux.acc_seg: 95.5182, loss: 0.1389 2023-02-24 07:32:48,542 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 1 day, 19:56:30, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0915, decode.acc_seg: 96.5160, aux.loss_ce: 0.0462, aux.acc_seg: 95.6550, loss: 0.1376 2023-02-24 07:33:48,299 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 1 day, 19:55:44, time: 1.195, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0899, decode.acc_seg: 96.5425, aux.loss_ce: 0.0468, aux.acc_seg: 95.6035, loss: 0.1366 2023-02-24 07:34:44,966 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 1 day, 19:54:40, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0890, decode.acc_seg: 96.5808, aux.loss_ce: 0.0457, aux.acc_seg: 95.6787, loss: 0.1347 2023-02-24 07:35:42,138 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 1 day, 19:53:38, time: 1.143, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0955, decode.acc_seg: 96.3679, aux.loss_ce: 0.0482, aux.acc_seg: 95.4821, loss: 0.1437 2023-02-24 07:36:38,873 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 1 day, 19:52:35, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0953, decode.acc_seg: 96.3788, aux.loss_ce: 0.0492, aux.acc_seg: 95.3896, loss: 0.1445 2023-02-24 07:37:38,588 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 1 day, 19:51:48, time: 1.194, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0923, decode.acc_seg: 96.4614, aux.loss_ce: 0.0475, aux.acc_seg: 95.5314, loss: 0.1398 2023-02-24 07:38:35,298 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 1 day, 19:50:44, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0937, decode.acc_seg: 96.3843, aux.loss_ce: 0.0486, aux.acc_seg: 95.4062, loss: 0.1423 2023-02-24 07:39:32,157 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 1 day, 19:49:41, time: 1.137, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0984, decode.acc_seg: 96.2531, aux.loss_ce: 0.0497, aux.acc_seg: 95.3552, loss: 0.1481 2023-02-24 07:40:32,462 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 1 day, 19:48:59, time: 1.206, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0908, decode.acc_seg: 96.5152, aux.loss_ce: 0.0465, aux.acc_seg: 95.6195, loss: 0.1373 2023-02-24 07:41:29,147 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 1 day, 19:47:55, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0953, decode.acc_seg: 96.2876, aux.loss_ce: 0.0482, aux.acc_seg: 95.4399, loss: 0.1435 2023-02-24 07:42:25,774 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 1 day, 19:46:50, time: 1.132, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0919, decode.acc_seg: 96.4686, aux.loss_ce: 0.0464, aux.acc_seg: 95.6409, loss: 0.1384 2023-02-24 07:43:22,487 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 1 day, 19:45:47, time: 1.134, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0900, decode.acc_seg: 96.5662, aux.loss_ce: 0.0455, aux.acc_seg: 95.7292, loss: 0.1355 2023-02-24 07:44:23,091 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 1 day, 19:45:05, time: 1.212, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0907, decode.acc_seg: 96.5085, aux.loss_ce: 0.0471, aux.acc_seg: 95.5483, loss: 0.1378 2023-02-24 07:45:19,771 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 1 day, 19:44:01, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0866, decode.acc_seg: 96.6491, aux.loss_ce: 0.0450, aux.acc_seg: 95.7382, loss: 0.1316 2023-02-24 07:46:16,486 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 1 day, 19:42:57, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0948, decode.acc_seg: 96.3829, aux.loss_ce: 0.0479, aux.acc_seg: 95.4449, loss: 0.1426 2023-02-24 07:47:13,119 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 1 day, 19:41:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0874, decode.acc_seg: 96.6334, aux.loss_ce: 0.0448, aux.acc_seg: 95.7749, loss: 0.1322 2023-02-24 07:48:13,823 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 1 day, 19:41:12, time: 1.214, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0899, decode.acc_seg: 96.4990, aux.loss_ce: 0.0465, aux.acc_seg: 95.5586, loss: 0.1364 2023-02-24 07:49:10,504 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 1 day, 19:40:09, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0886, decode.acc_seg: 96.5958, aux.loss_ce: 0.0452, aux.acc_seg: 95.7399, loss: 0.1338 2023-02-24 07:50:07,578 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 1 day, 19:39:07, time: 1.141, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0879, decode.acc_seg: 96.6062, aux.loss_ce: 0.0452, aux.acc_seg: 95.7414, loss: 0.1332 2023-02-24 07:51:08,082 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:51:08,082 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 1 day, 19:38:25, time: 1.210, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0927, decode.acc_seg: 96.4269, aux.loss_ce: 0.0493, aux.acc_seg: 95.3883, loss: 0.1420 2023-02-24 07:52:04,774 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 1 day, 19:37:21, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0963, decode.acc_seg: 96.2920, aux.loss_ce: 0.0478, aux.acc_seg: 95.4637, loss: 0.1440 2023-02-24 07:53:01,434 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 1 day, 19:36:17, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0909, decode.acc_seg: 96.5124, aux.loss_ce: 0.0455, aux.acc_seg: 95.7297, loss: 0.1365 2023-02-24 07:53:58,186 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 1 day, 19:35:14, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0891, decode.acc_seg: 96.5685, aux.loss_ce: 0.0451, aux.acc_seg: 95.7363, loss: 0.1342 2023-02-24 07:54:57,887 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 1 day, 19:34:27, time: 1.194, data_time: 0.068, memory: 27881, decode.loss_ce: 0.1065, decode.acc_seg: 96.0213, aux.loss_ce: 0.0511, aux.acc_seg: 95.2575, loss: 0.1575 2023-02-24 07:55:54,620 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 1 day, 19:33:23, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0979, decode.acc_seg: 96.2070, aux.loss_ce: 0.0485, aux.acc_seg: 95.4223, loss: 0.1465 2023-02-24 07:56:51,345 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 1 day, 19:32:20, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0930, decode.acc_seg: 96.4479, aux.loss_ce: 0.0488, aux.acc_seg: 95.4866, loss: 0.1418 2023-02-24 07:57:48,004 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 1 day, 19:31:16, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0962, decode.acc_seg: 96.3604, aux.loss_ce: 0.0499, aux.acc_seg: 95.3412, loss: 0.1461 2023-02-24 07:58:47,714 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 1 day, 19:30:29, time: 1.194, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0928, decode.acc_seg: 96.4184, aux.loss_ce: 0.0483, aux.acc_seg: 95.4339, loss: 0.1410 2023-02-24 07:59:44,391 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 1 day, 19:29:25, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0900, decode.acc_seg: 96.5499, aux.loss_ce: 0.0464, aux.acc_seg: 95.6417, loss: 0.1364 2023-02-24 08:00:41,117 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 1 day, 19:28:22, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0900, decode.acc_seg: 96.5515, aux.loss_ce: 0.0466, aux.acc_seg: 95.6432, loss: 0.1366 2023-02-24 08:01:37,791 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 1 day, 19:27:18, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0922, decode.acc_seg: 96.4579, aux.loss_ce: 0.0471, aux.acc_seg: 95.5556, loss: 0.1393 2023-02-24 08:02:37,473 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 1 day, 19:26:31, time: 1.194, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0883, decode.acc_seg: 96.6105, aux.loss_ce: 0.0460, aux.acc_seg: 95.6434, loss: 0.1343 2023-02-24 08:03:34,202 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 1 day, 19:25:28, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0875, decode.acc_seg: 96.6246, aux.loss_ce: 0.0455, aux.acc_seg: 95.7265, loss: 0.1330 2023-02-24 08:04:30,890 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 1 day, 19:24:24, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0937, decode.acc_seg: 96.4062, aux.loss_ce: 0.0483, aux.acc_seg: 95.4862, loss: 0.1419 2023-02-24 08:05:30,482 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 1 day, 19:23:37, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0874, decode.acc_seg: 96.5947, aux.loss_ce: 0.0457, aux.acc_seg: 95.6554, loss: 0.1332 2023-02-24 08:06:27,613 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 1 day, 19:22:35, time: 1.143, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0946, decode.acc_seg: 96.3442, aux.loss_ce: 0.0484, aux.acc_seg: 95.4635, loss: 0.1430 2023-02-24 08:07:24,413 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 1 day, 19:21:32, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0936, decode.acc_seg: 96.3807, aux.loss_ce: 0.0477, aux.acc_seg: 95.5248, loss: 0.1413 2023-02-24 08:08:21,183 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 1 day, 19:20:29, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0903, decode.acc_seg: 96.5667, aux.loss_ce: 0.0476, aux.acc_seg: 95.5752, loss: 0.1379 2023-02-24 08:09:21,165 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 1 day, 19:19:44, time: 1.199, data_time: 0.075, memory: 27881, decode.loss_ce: 0.1013, decode.acc_seg: 96.1867, aux.loss_ce: 0.0520, aux.acc_seg: 95.2728, loss: 0.1533 2023-02-24 08:10:18,003 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 08:10:18,006 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 1 day, 19:18:41, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0975, decode.acc_seg: 96.2405, aux.loss_ce: 0.0492, aux.acc_seg: 95.3152, loss: 0.1467 2023-02-24 08:11:14,731 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 1 day, 19:17:38, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0939, decode.acc_seg: 96.4009, aux.loss_ce: 0.0474, aux.acc_seg: 95.5564, loss: 0.1412 2023-02-24 08:12:11,454 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 1 day, 19:16:35, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0942, decode.acc_seg: 96.3686, aux.loss_ce: 0.0486, aux.acc_seg: 95.4034, loss: 0.1428 2023-02-24 08:13:11,496 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 1 day, 19:15:49, time: 1.201, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0918, decode.acc_seg: 96.4628, aux.loss_ce: 0.0461, aux.acc_seg: 95.6482, loss: 0.1379 2023-02-24 08:14:08,191 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 1 day, 19:14:46, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0876, decode.acc_seg: 96.5919, aux.loss_ce: 0.0457, aux.acc_seg: 95.6718, loss: 0.1333 2023-02-24 08:15:04,889 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 1 day, 19:13:42, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0905, decode.acc_seg: 96.5950, aux.loss_ce: 0.0475, aux.acc_seg: 95.5834, loss: 0.1379 2023-02-24 08:16:04,495 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 1 day, 19:12:55, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0926, decode.acc_seg: 96.4515, aux.loss_ce: 0.0468, aux.acc_seg: 95.6109, loss: 0.1394 2023-02-24 08:17:01,203 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 1 day, 19:11:51, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0906, decode.acc_seg: 96.4797, aux.loss_ce: 0.0464, aux.acc_seg: 95.6152, loss: 0.1370 2023-02-24 08:17:58,003 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 1 day, 19:10:49, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0887, decode.acc_seg: 96.5617, aux.loss_ce: 0.0455, aux.acc_seg: 95.6643, loss: 0.1342 2023-02-24 08:18:54,664 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 1 day, 19:09:45, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0915, decode.acc_seg: 96.4959, aux.loss_ce: 0.0463, aux.acc_seg: 95.6484, loss: 0.1377 2023-02-24 08:19:54,317 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 1 day, 19:08:57, time: 1.193, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0855, decode.acc_seg: 96.6535, aux.loss_ce: 0.0441, aux.acc_seg: 95.7674, loss: 0.1296 2023-02-24 08:20:51,075 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 1 day, 19:07:54, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0841, decode.acc_seg: 96.7360, aux.loss_ce: 0.0450, aux.acc_seg: 95.7295, loss: 0.1291 2023-02-24 08:21:47,788 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 1 day, 19:06:51, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0853, decode.acc_seg: 96.6891, aux.loss_ce: 0.0440, aux.acc_seg: 95.8222, loss: 0.1293 2023-02-24 08:22:44,535 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 1 day, 19:05:48, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0887, decode.acc_seg: 96.5792, aux.loss_ce: 0.0462, aux.acc_seg: 95.6572, loss: 0.1348 2023-02-24 08:23:44,103 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 1 day, 19:05:00, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0857, decode.acc_seg: 96.6763, aux.loss_ce: 0.0437, aux.acc_seg: 95.8201, loss: 0.1294 2023-02-24 08:24:40,909 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 1 day, 19:03:57, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0855, decode.acc_seg: 96.6748, aux.loss_ce: 0.0445, aux.acc_seg: 95.7844, loss: 0.1300 2023-02-24 08:25:37,564 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 1 day, 19:02:54, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0868, decode.acc_seg: 96.6626, aux.loss_ce: 0.0454, aux.acc_seg: 95.7101, loss: 0.1322 2023-02-24 08:26:34,265 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 1 day, 19:01:51, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0858, decode.acc_seg: 96.6356, aux.loss_ce: 0.0466, aux.acc_seg: 95.5573, loss: 0.1325 2023-02-24 08:27:33,915 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 1 day, 19:01:03, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0852, decode.acc_seg: 96.6947, aux.loss_ce: 0.0465, aux.acc_seg: 95.6710, loss: 0.1317 2023-02-24 08:28:30,639 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 1 day, 19:00:00, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0894, decode.acc_seg: 96.5391, aux.loss_ce: 0.0459, aux.acc_seg: 95.6586, loss: 0.1353 2023-02-24 08:29:27,474 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 08:29:27,476 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 1 day, 18:58:58, time: 1.137, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0898, decode.acc_seg: 96.5333, aux.loss_ce: 0.0461, aux.acc_seg: 95.6367, loss: 0.1360 2023-02-24 08:30:27,556 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 1 day, 18:58:12, time: 1.202, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0876, decode.acc_seg: 96.6265, aux.loss_ce: 0.0465, aux.acc_seg: 95.5793, loss: 0.1342 2023-02-24 08:31:24,197 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 1 day, 18:57:09, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0819, decode.acc_seg: 96.8322, aux.loss_ce: 0.0432, aux.acc_seg: 95.9178, loss: 0.1251 2023-02-24 08:32:20,985 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 1 day, 18:56:06, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0887, decode.acc_seg: 96.5826, aux.loss_ce: 0.0456, aux.acc_seg: 95.7461, loss: 0.1342 2023-02-24 08:33:17,998 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 1 day, 18:55:05, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0908, decode.acc_seg: 96.5083, aux.loss_ce: 0.0444, aux.acc_seg: 95.8266, loss: 0.1352 2023-02-24 08:34:17,591 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 1 day, 18:54:16, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0907, decode.acc_seg: 96.4858, aux.loss_ce: 0.0453, aux.acc_seg: 95.6765, loss: 0.1359 2023-02-24 08:35:14,235 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 1 day, 18:53:13, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0927, decode.acc_seg: 96.4010, aux.loss_ce: 0.0452, aux.acc_seg: 95.7147, loss: 0.1379 2023-02-24 08:36:10,786 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 1 day, 18:52:09, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0925, decode.acc_seg: 96.4392, aux.loss_ce: 0.0455, aux.acc_seg: 95.6462, loss: 0.1381 2023-02-24 08:37:07,426 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 1 day, 18:51:06, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0880, decode.acc_seg: 96.6220, aux.loss_ce: 0.0460, aux.acc_seg: 95.6469, loss: 0.1340 2023-02-24 08:38:07,245 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 1 day, 18:50:19, time: 1.196, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0912, decode.acc_seg: 96.4868, aux.loss_ce: 0.0471, aux.acc_seg: 95.5388, loss: 0.1383 2023-02-24 08:39:04,266 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 1 day, 18:49:17, time: 1.140, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0945, decode.acc_seg: 96.3800, aux.loss_ce: 0.0461, aux.acc_seg: 95.6289, loss: 0.1406 2023-02-24 08:40:00,882 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 1 day, 18:48:14, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0916, decode.acc_seg: 96.4738, aux.loss_ce: 0.0466, aux.acc_seg: 95.6330, loss: 0.1382 2023-02-24 08:41:01,199 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 1 day, 18:47:29, time: 1.206, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0909, decode.acc_seg: 96.5219, aux.loss_ce: 0.0480, aux.acc_seg: 95.5150, loss: 0.1389 2023-02-24 08:41:57,841 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 1 day, 18:46:26, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7535, aux.loss_ce: 0.0437, aux.acc_seg: 95.8352, loss: 0.1272 2023-02-24 08:42:54,527 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 1 day, 18:45:23, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0870, decode.acc_seg: 96.6754, aux.loss_ce: 0.0448, aux.acc_seg: 95.8117, loss: 0.1318 2023-02-24 08:43:51,147 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 1 day, 18:44:20, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0845, decode.acc_seg: 96.7073, aux.loss_ce: 0.0442, aux.acc_seg: 95.7973, loss: 0.1287 2023-02-24 08:44:51,258 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 1 day, 18:43:34, time: 1.202, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0877, decode.acc_seg: 96.6022, aux.loss_ce: 0.0468, aux.acc_seg: 95.5628, loss: 0.1345 2023-02-24 08:45:47,874 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 1 day, 18:42:30, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0852, decode.acc_seg: 96.6967, aux.loss_ce: 0.0432, aux.acc_seg: 95.9493, loss: 0.1284 2023-02-24 08:46:44,459 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 1 day, 18:41:27, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0901, decode.acc_seg: 96.5002, aux.loss_ce: 0.0467, aux.acc_seg: 95.5431, loss: 0.1367 2023-02-24 08:47:41,856 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 1 day, 18:40:28, time: 1.148, data_time: 0.028, memory: 27881, decode.loss_ce: 0.0879, decode.acc_seg: 96.6692, aux.loss_ce: 0.0455, aux.acc_seg: 95.7501, loss: 0.1334 2023-02-24 08:48:41,975 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 08:48:41,977 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 1 day, 18:39:42, time: 1.203, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0883, decode.acc_seg: 96.5313, aux.loss_ce: 0.0454, aux.acc_seg: 95.6240, loss: 0.1337 2023-02-24 08:49:38,621 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 1 day, 18:38:39, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0882, decode.acc_seg: 96.5914, aux.loss_ce: 0.0455, aux.acc_seg: 95.6901, loss: 0.1338 2023-02-24 08:50:35,269 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 1 day, 18:37:35, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7726, aux.loss_ce: 0.0454, aux.acc_seg: 95.6912, loss: 0.1290 2023-02-24 08:51:31,947 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 1 day, 18:36:33, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0854, decode.acc_seg: 96.6393, aux.loss_ce: 0.0443, aux.acc_seg: 95.7778, loss: 0.1297 2023-02-24 08:52:31,972 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 1 day, 18:35:46, time: 1.200, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0875, decode.acc_seg: 96.6374, aux.loss_ce: 0.0453, aux.acc_seg: 95.7138, loss: 0.1328 2023-02-24 08:53:28,636 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 1 day, 18:34:43, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0847, decode.acc_seg: 96.6961, aux.loss_ce: 0.0449, aux.acc_seg: 95.7157, loss: 0.1296 2023-02-24 08:54:25,251 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 1 day, 18:33:40, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0840, decode.acc_seg: 96.7064, aux.loss_ce: 0.0436, aux.acc_seg: 95.8133, loss: 0.1276 2023-02-24 08:55:24,734 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 1 day, 18:32:51, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0986, decode.acc_seg: 96.4883, aux.loss_ce: 0.0468, aux.acc_seg: 95.6934, loss: 0.1453 2023-02-24 08:56:21,336 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 1 day, 18:31:47, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0978, decode.acc_seg: 96.3937, aux.loss_ce: 0.0473, aux.acc_seg: 95.5814, loss: 0.1451 2023-02-24 08:57:18,006 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 1 day, 18:30:45, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0891, decode.acc_seg: 96.5472, aux.loss_ce: 0.0459, aux.acc_seg: 95.6575, loss: 0.1349 2023-02-24 08:58:14,630 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 1 day, 18:29:41, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0856, decode.acc_seg: 96.7046, aux.loss_ce: 0.0437, aux.acc_seg: 95.8828, loss: 0.1292 2023-02-24 08:59:14,106 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 1 day, 18:28:52, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0894, decode.acc_seg: 96.5483, aux.loss_ce: 0.0464, aux.acc_seg: 95.6185, loss: 0.1359 2023-02-24 09:00:10,751 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 1 day, 18:27:49, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0825, decode.acc_seg: 96.8035, aux.loss_ce: 0.0439, aux.acc_seg: 95.7868, loss: 0.1264 2023-02-24 09:01:07,350 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 1 day, 18:26:46, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0922, decode.acc_seg: 96.4000, aux.loss_ce: 0.0469, aux.acc_seg: 95.5060, loss: 0.1391 2023-02-24 09:02:04,124 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 1 day, 18:25:44, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0862, decode.acc_seg: 96.6248, aux.loss_ce: 0.0452, aux.acc_seg: 95.6853, loss: 0.1314 2023-02-24 09:03:04,147 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 1 day, 18:24:57, time: 1.200, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0819, decode.acc_seg: 96.8153, aux.loss_ce: 0.0436, aux.acc_seg: 95.8384, loss: 0.1256 2023-02-24 09:04:00,996 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 1 day, 18:23:55, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7389, aux.loss_ce: 0.0451, aux.acc_seg: 95.7540, loss: 0.1287 2023-02-24 09:04:57,676 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 1 day, 18:22:52, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0849, decode.acc_seg: 96.6909, aux.loss_ce: 0.0447, aux.acc_seg: 95.7717, loss: 0.1296 2023-02-24 09:05:54,593 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 1 day, 18:21:51, time: 1.138, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0841, decode.acc_seg: 96.7792, aux.loss_ce: 0.0435, aux.acc_seg: 95.9114, loss: 0.1276 2023-02-24 09:06:54,024 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 1 day, 18:21:01, time: 1.189, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0825, decode.acc_seg: 96.7881, aux.loss_ce: 0.0434, aux.acc_seg: 95.8579, loss: 0.1259 2023-02-24 09:07:50,750 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:07:50,754 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 1 day, 18:19:59, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0813, decode.acc_seg: 96.8416, aux.loss_ce: 0.0435, aux.acc_seg: 95.8791, loss: 0.1248 2023-02-24 09:08:47,362 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 1 day, 18:18:56, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0805, decode.acc_seg: 96.8717, aux.loss_ce: 0.0418, aux.acc_seg: 96.0236, loss: 0.1223 2023-02-24 09:09:46,926 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 1 day, 18:18:07, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0862, decode.acc_seg: 96.6602, aux.loss_ce: 0.0461, aux.acc_seg: 95.6763, loss: 0.1322 2023-02-24 09:10:43,614 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 1 day, 18:17:04, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7691, aux.loss_ce: 0.0444, aux.acc_seg: 95.7508, loss: 0.1280 2023-02-24 09:11:40,273 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 1 day, 18:16:01, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0808, decode.acc_seg: 96.8651, aux.loss_ce: 0.0434, aux.acc_seg: 95.8726, loss: 0.1241 2023-02-24 09:12:36,972 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 1 day, 18:14:59, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0846, decode.acc_seg: 96.7328, aux.loss_ce: 0.0446, aux.acc_seg: 95.7803, loss: 0.1293 2023-02-24 09:13:36,442 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 1 day, 18:14:09, time: 1.189, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0823, decode.acc_seg: 96.8127, aux.loss_ce: 0.0430, aux.acc_seg: 95.8991, loss: 0.1253 2023-02-24 09:14:33,449 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 1 day, 18:13:08, time: 1.140, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0833, decode.acc_seg: 96.7725, aux.loss_ce: 0.0431, aux.acc_seg: 95.9277, loss: 0.1264 2023-02-24 09:15:30,182 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 1 day, 18:12:06, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0838, decode.acc_seg: 96.7779, aux.loss_ce: 0.0447, aux.acc_seg: 95.7632, loss: 0.1285 2023-02-24 09:16:26,827 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 1 day, 18:11:03, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0846, decode.acc_seg: 96.7182, aux.loss_ce: 0.0457, aux.acc_seg: 95.6522, loss: 0.1304 2023-02-24 09:17:26,275 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 1 day, 18:10:13, time: 1.189, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0901, decode.acc_seg: 96.5316, aux.loss_ce: 0.0466, aux.acc_seg: 95.6130, loss: 0.1367 2023-02-24 09:18:22,826 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 1 day, 18:09:10, time: 1.131, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0911, decode.acc_seg: 96.5173, aux.loss_ce: 0.0462, aux.acc_seg: 95.7075, loss: 0.1373 2023-02-24 09:19:19,456 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 1 day, 18:08:07, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0848, decode.acc_seg: 96.7149, aux.loss_ce: 0.0432, aux.acc_seg: 95.9208, loss: 0.1280 2023-02-24 09:20:19,065 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 1 day, 18:07:18, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0783, decode.acc_seg: 96.9440, aux.loss_ce: 0.0434, aux.acc_seg: 95.8916, loss: 0.1217 2023-02-24 09:21:15,646 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 1 day, 18:06:15, time: 1.132, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0866, decode.acc_seg: 96.6486, aux.loss_ce: 0.0451, aux.acc_seg: 95.7164, loss: 0.1317 2023-02-24 09:22:12,350 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 1 day, 18:05:13, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7469, aux.loss_ce: 0.0444, aux.acc_seg: 95.7772, loss: 0.1280 2023-02-24 09:23:09,158 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 1 day, 18:04:11, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0788, decode.acc_seg: 96.9243, aux.loss_ce: 0.0429, aux.acc_seg: 95.9031, loss: 0.1217 2023-02-24 09:24:08,679 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 1 day, 18:03:22, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0898, decode.acc_seg: 96.5409, aux.loss_ce: 0.0453, aux.acc_seg: 95.7272, loss: 0.1351 2023-02-24 09:25:05,498 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 1 day, 18:02:20, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0867, decode.acc_seg: 96.6458, aux.loss_ce: 0.0451, aux.acc_seg: 95.7399, loss: 0.1317 2023-02-24 09:26:02,129 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 1 day, 18:01:17, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0882, decode.acc_seg: 96.6161, aux.loss_ce: 0.0471, aux.acc_seg: 95.6513, loss: 0.1354 2023-02-24 09:26:58,686 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:26:58,686 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 1 day, 18:00:14, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0894, decode.acc_seg: 96.5690, aux.loss_ce: 0.0454, aux.acc_seg: 95.6918, loss: 0.1348 2023-02-24 09:27:58,229 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 1 day, 17:59:25, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0851, decode.acc_seg: 96.6668, aux.loss_ce: 0.0432, aux.acc_seg: 95.8513, loss: 0.1283 2023-02-24 09:28:54,917 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 1 day, 17:58:22, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0843, decode.acc_seg: 96.7523, aux.loss_ce: 0.0435, aux.acc_seg: 95.8755, loss: 0.1278 2023-02-24 09:29:51,554 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 1 day, 17:57:20, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0938, decode.acc_seg: 96.4211, aux.loss_ce: 0.0496, aux.acc_seg: 95.4095, loss: 0.1433 2023-02-24 09:30:48,181 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 1 day, 17:56:17, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0899, decode.acc_seg: 96.5501, aux.loss_ce: 0.0442, aux.acc_seg: 95.7759, loss: 0.1342 2023-02-24 09:31:47,979 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 1 day, 17:55:29, time: 1.196, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0860, decode.acc_seg: 96.6980, aux.loss_ce: 0.0461, aux.acc_seg: 95.6920, loss: 0.1321 2023-02-24 09:32:44,587 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 1 day, 17:54:26, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0835, decode.acc_seg: 96.7847, aux.loss_ce: 0.0446, aux.acc_seg: 95.8239, loss: 0.1280 2023-02-24 09:33:41,283 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 1 day, 17:53:24, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0875, decode.acc_seg: 96.6137, aux.loss_ce: 0.0459, aux.acc_seg: 95.6274, loss: 0.1334 2023-02-24 09:34:40,802 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 1 day, 17:52:34, time: 1.191, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0807, decode.acc_seg: 96.8775, aux.loss_ce: 0.0418, aux.acc_seg: 96.0029, loss: 0.1225 2023-02-24 09:35:37,458 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 1 day, 17:51:32, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0857, decode.acc_seg: 96.6852, aux.loss_ce: 0.0435, aux.acc_seg: 95.8784, loss: 0.1292 2023-02-24 09:36:34,411 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 1 day, 17:50:31, time: 1.139, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0841, decode.acc_seg: 96.7255, aux.loss_ce: 0.0440, aux.acc_seg: 95.8119, loss: 0.1281 2023-02-24 09:37:31,152 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 1 day, 17:49:29, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0868, decode.acc_seg: 96.6446, aux.loss_ce: 0.0461, aux.acc_seg: 95.6889, loss: 0.1330 2023-02-24 09:38:30,753 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 1 day, 17:48:39, time: 1.192, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0796, decode.acc_seg: 96.9096, aux.loss_ce: 0.0426, aux.acc_seg: 95.9311, loss: 0.1223 2023-02-24 09:39:27,331 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 1 day, 17:47:37, time: 1.132, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7452, aux.loss_ce: 0.0437, aux.acc_seg: 95.9062, loss: 0.1273 2023-02-24 09:40:24,476 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 1 day, 17:46:36, time: 1.143, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0765, decode.acc_seg: 97.0264, aux.loss_ce: 0.0412, aux.acc_seg: 96.0514, loss: 0.1177 2023-02-24 09:41:21,172 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 1 day, 17:45:34, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0823, decode.acc_seg: 96.7729, aux.loss_ce: 0.0436, aux.acc_seg: 95.8215, loss: 0.1260 2023-02-24 09:42:20,762 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 1 day, 17:44:45, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0907, decode.acc_seg: 96.5494, aux.loss_ce: 0.0453, aux.acc_seg: 95.6946, loss: 0.1360 2023-02-24 09:43:17,430 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 1 day, 17:43:42, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7332, aux.loss_ce: 0.0432, aux.acc_seg: 95.8997, loss: 0.1267 2023-02-24 09:44:14,689 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 1 day, 17:42:43, time: 1.145, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0848, decode.acc_seg: 96.7872, aux.loss_ce: 0.0441, aux.acc_seg: 95.8400, loss: 0.1289 2023-02-24 09:45:14,422 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 1 day, 17:41:54, time: 1.195, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0865, decode.acc_seg: 96.6324, aux.loss_ce: 0.0455, aux.acc_seg: 95.6889, loss: 0.1319 2023-02-24 09:46:11,108 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:46:11,109 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 1 day, 17:40:52, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0820, decode.acc_seg: 96.8304, aux.loss_ce: 0.0434, aux.acc_seg: 95.8776, loss: 0.1254 2023-02-24 09:47:07,850 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 1 day, 17:39:50, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0832, decode.acc_seg: 96.7871, aux.loss_ce: 0.0422, aux.acc_seg: 95.9655, loss: 0.1254 2023-02-24 09:48:04,778 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 1 day, 17:38:49, time: 1.139, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0811, decode.acc_seg: 96.8683, aux.loss_ce: 0.0433, aux.acc_seg: 95.8963, loss: 0.1244 2023-02-24 09:49:04,606 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 1 day, 17:38:00, time: 1.197, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0830, decode.acc_seg: 96.7570, aux.loss_ce: 0.0435, aux.acc_seg: 95.8306, loss: 0.1265 2023-02-24 09:50:01,295 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 1 day, 17:36:58, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0784, decode.acc_seg: 96.9409, aux.loss_ce: 0.0412, aux.acc_seg: 96.0587, loss: 0.1196 2023-02-24 09:50:57,942 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 1 day, 17:35:56, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0799, decode.acc_seg: 96.8872, aux.loss_ce: 0.0436, aux.acc_seg: 95.8378, loss: 0.1236 2023-02-24 09:51:54,986 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 1 day, 17:34:55, time: 1.141, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0822, decode.acc_seg: 96.7968, aux.loss_ce: 0.0433, aux.acc_seg: 95.8525, loss: 0.1255 2023-02-24 09:52:55,756 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 1 day, 17:34:11, time: 1.215, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0791, decode.acc_seg: 96.9141, aux.loss_ce: 0.0434, aux.acc_seg: 95.8636, loss: 0.1225 2023-02-24 09:53:52,479 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 1 day, 17:33:09, time: 1.135, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0836, decode.acc_seg: 96.7316, aux.loss_ce: 0.0431, aux.acc_seg: 95.9109, loss: 0.1268 2023-02-24 09:54:49,223 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 1 day, 17:32:07, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0820, decode.acc_seg: 96.7997, aux.loss_ce: 0.0426, aux.acc_seg: 95.9232, loss: 0.1245 2023-02-24 09:55:45,968 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 1 day, 17:31:05, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0808, decode.acc_seg: 96.8568, aux.loss_ce: 0.0416, aux.acc_seg: 96.0458, loss: 0.1224 2023-02-24 09:56:46,834 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 1 day, 17:30:21, time: 1.217, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0816, decode.acc_seg: 96.8017, aux.loss_ce: 0.0432, aux.acc_seg: 95.8385, loss: 0.1248 2023-02-24 09:57:43,659 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 1 day, 17:29:19, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0813, decode.acc_seg: 96.8427, aux.loss_ce: 0.0434, aux.acc_seg: 95.8181, loss: 0.1247 2023-02-24 09:58:40,641 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 1 day, 17:28:18, time: 1.140, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0801, decode.acc_seg: 96.8647, aux.loss_ce: 0.0421, aux.acc_seg: 95.9731, loss: 0.1223 2023-02-24 09:59:41,346 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 1 day, 17:27:33, time: 1.214, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0841, decode.acc_seg: 96.7267, aux.loss_ce: 0.0433, aux.acc_seg: 95.8801, loss: 0.1274 2023-02-24 10:00:38,052 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 1 day, 17:26:31, time: 1.134, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0824, decode.acc_seg: 96.7703, aux.loss_ce: 0.0436, aux.acc_seg: 95.8600, loss: 0.1259 2023-02-24 10:01:35,251 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 1 day, 17:25:31, time: 1.144, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0822, decode.acc_seg: 96.7790, aux.loss_ce: 0.0425, aux.acc_seg: 95.9391, loss: 0.1247 2023-02-24 10:02:32,029 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 1 day, 17:24:30, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0791, decode.acc_seg: 96.9147, aux.loss_ce: 0.0424, aux.acc_seg: 95.9618, loss: 0.1215 2023-02-24 10:03:31,905 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 1 day, 17:23:41, time: 1.198, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0839, decode.acc_seg: 96.7096, aux.loss_ce: 0.0426, aux.acc_seg: 95.8948, loss: 0.1264 2023-02-24 10:04:28,561 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 1 day, 17:22:39, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0804, decode.acc_seg: 96.8694, aux.loss_ce: 0.0427, aux.acc_seg: 95.9258, loss: 0.1231 2023-02-24 10:05:25,403 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:05:25,403 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 1 day, 17:21:38, time: 1.137, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0789, decode.acc_seg: 96.9100, aux.loss_ce: 0.0419, aux.acc_seg: 95.9870, loss: 0.1207 2023-02-24 10:06:22,138 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 1 day, 17:20:36, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0869, decode.acc_seg: 96.6496, aux.loss_ce: 0.0450, aux.acc_seg: 95.7214, loss: 0.1320 2023-02-24 10:07:22,618 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 1 day, 17:19:50, time: 1.210, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0820, decode.acc_seg: 96.7994, aux.loss_ce: 0.0430, aux.acc_seg: 95.8975, loss: 0.1250 2023-02-24 10:08:19,399 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 1 day, 17:18:48, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0799, decode.acc_seg: 96.8530, aux.loss_ce: 0.0424, aux.acc_seg: 95.9008, loss: 0.1222 2023-02-24 10:09:16,136 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 1 day, 17:17:46, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0814, decode.acc_seg: 96.8079, aux.loss_ce: 0.0416, aux.acc_seg: 96.0156, loss: 0.1230 2023-02-24 10:10:16,460 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 1 day, 17:16:59, time: 1.206, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0813, decode.acc_seg: 96.8597, aux.loss_ce: 0.0430, aux.acc_seg: 95.9141, loss: 0.1243 2023-02-24 10:11:13,142 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 1 day, 17:15:57, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0821, decode.acc_seg: 96.8207, aux.loss_ce: 0.0427, aux.acc_seg: 95.9475, loss: 0.1248 2023-02-24 10:12:10,388 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 1 day, 17:14:58, time: 1.145, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0813, decode.acc_seg: 96.8041, aux.loss_ce: 0.0423, aux.acc_seg: 95.9348, loss: 0.1236 2023-02-24 10:13:07,085 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 1 day, 17:13:56, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0781, decode.acc_seg: 96.9444, aux.loss_ce: 0.0420, aux.acc_seg: 96.0238, loss: 0.1202 2023-02-24 10:14:07,459 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 1 day, 17:13:09, time: 1.208, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0825, decode.acc_seg: 96.7693, aux.loss_ce: 0.0423, aux.acc_seg: 95.9391, loss: 0.1248 2023-02-24 10:15:04,139 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 1 day, 17:12:07, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0847, decode.acc_seg: 96.7004, aux.loss_ce: 0.0446, aux.acc_seg: 95.7339, loss: 0.1293 2023-02-24 10:16:00,862 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 1 day, 17:11:05, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0832, decode.acc_seg: 96.7530, aux.loss_ce: 0.0432, aux.acc_seg: 95.8886, loss: 0.1264 2023-02-24 10:16:57,806 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 1 day, 17:10:04, time: 1.139, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0778, decode.acc_seg: 96.9421, aux.loss_ce: 0.0426, aux.acc_seg: 95.8909, loss: 0.1204 2023-02-24 10:17:58,266 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 1 day, 17:09:18, time: 1.209, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0803, decode.acc_seg: 96.8529, aux.loss_ce: 0.0416, aux.acc_seg: 95.9810, loss: 0.1219 2023-02-24 10:18:55,448 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 1 day, 17:08:18, time: 1.144, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0791, decode.acc_seg: 96.9108, aux.loss_ce: 0.0418, aux.acc_seg: 96.0303, loss: 0.1208 2023-02-24 10:19:52,151 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 1 day, 17:07:16, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0819, decode.acc_seg: 96.8418, aux.loss_ce: 0.0438, aux.acc_seg: 95.8647, loss: 0.1257 2023-02-24 10:20:48,911 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 1 day, 17:06:15, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0782, decode.acc_seg: 96.9148, aux.loss_ce: 0.0426, aux.acc_seg: 95.8992, loss: 0.1208 2023-02-24 10:21:49,156 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 1 day, 17:05:27, time: 1.205, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0792, decode.acc_seg: 96.9129, aux.loss_ce: 0.0424, aux.acc_seg: 95.9456, loss: 0.1217 2023-02-24 10:22:46,033 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 1 day, 17:04:26, time: 1.138, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0927, decode.acc_seg: 96.4235, aux.loss_ce: 0.0439, aux.acc_seg: 95.8674, loss: 0.1366 2023-02-24 10:23:42,872 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 1 day, 17:03:25, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0820, decode.acc_seg: 96.8046, aux.loss_ce: 0.0417, aux.acc_seg: 95.9724, loss: 0.1237 2023-02-24 10:24:43,243 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-02-24 10:24:46,499 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:24:46,506 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 1 day, 17:02:51, time: 1.273, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0817, decode.acc_seg: 96.8315, aux.loss_ce: 0.0435, aux.acc_seg: 95.8576, loss: 0.1252 2023-02-24 10:25:51,531 - mmseg - INFO - per class results: 2023-02-24 10:25:51,536 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.45 | 98.89 | | sidewalk | 86.54 | 95.33 | | building | 93.1 | 97.61 | | wall | 57.11 | 65.27 | | fence | 62.54 | 66.6 | | pole | 68.8 | 78.11 | | traffic light | 74.14 | 86.42 | | traffic sign | 81.55 | 88.54 | | vegetation | 93.0 | 96.13 | | terrain | 64.43 | 73.97 | | sky | 94.37 | 98.93 | | person | 84.59 | 92.12 | | rider | 66.51 | 79.93 | | car | 96.09 | 97.92 | | truck | 87.83 | 90.2 | | bus | 91.69 | 93.75 | | train | 85.92 | 88.67 | | motorcycle | 71.67 | 77.36 | | bicycle | 80.15 | 91.13 | +---------------+-------+-------+ 2023-02-24 10:25:51,536 - mmseg - INFO - Summary: 2023-02-24 10:25:51,536 - mmseg - INFO - +------+-------+------+ | aAcc | mIoU | mAcc | +------+-------+------+ | 96.5 | 80.97 | 87.2 | +------+-------+------+ 2023-02-24 10:25:51,543 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_16000.pth was removed 2023-02-24 10:25:55,129 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-02-24 10:25:55,130 - mmseg - INFO - Best mIoU is 0.8097 at 32000 iter. 2023-02-24 10:25:55,130 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:25:55,130 - mmseg - INFO - Iter(val) [125] aAcc: 0.9650, mIoU: 0.8097, mAcc: 0.8720, IoU.road: 0.9845, IoU.sidewalk: 0.8654, IoU.building: 0.9310, IoU.wall: 0.5711, IoU.fence: 0.6254, IoU.pole: 0.6880, IoU.traffic light: 0.7414, IoU.traffic sign: 0.8155, IoU.vegetation: 0.9300, IoU.terrain: 0.6443, IoU.sky: 0.9437, IoU.person: 0.8459, IoU.rider: 0.6651, IoU.car: 0.9609, IoU.truck: 0.8783, IoU.bus: 0.9169, IoU.train: 0.8592, IoU.motorcycle: 0.7167, IoU.bicycle: 0.8015, Acc.road: 0.9889, Acc.sidewalk: 0.9533, Acc.building: 0.9761, Acc.wall: 0.6527, Acc.fence: 0.6660, Acc.pole: 0.7811, Acc.traffic light: 0.8642, Acc.traffic sign: 0.8854, Acc.vegetation: 0.9613, Acc.terrain: 0.7397, Acc.sky: 0.9893, Acc.person: 0.9212, Acc.rider: 0.7993, Acc.car: 0.9792, Acc.truck: 0.9020, Acc.bus: 0.9375, Acc.train: 0.8867, Acc.motorcycle: 0.7736, Acc.bicycle: 0.9113 2023-02-24 10:26:51,769 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 1 day, 17:06:23, time: 2.505, data_time: 1.384, memory: 27881, decode.loss_ce: 0.0834, decode.acc_seg: 96.7605, aux.loss_ce: 0.0443, aux.acc_seg: 95.7377, loss: 0.1277 2023-02-24 10:27:48,605 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 1 day, 17:05:21, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0787, decode.acc_seg: 96.9135, aux.loss_ce: 0.0411, aux.acc_seg: 96.0820, loss: 0.1198 2023-02-24 10:28:45,478 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 1 day, 17:04:19, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0801, decode.acc_seg: 96.8710, aux.loss_ce: 0.0414, aux.acc_seg: 96.0337, loss: 0.1215 2023-02-24 10:29:45,078 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 1 day, 17:03:28, time: 1.192, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0837, decode.acc_seg: 96.6906, aux.loss_ce: 0.0444, aux.acc_seg: 95.7379, loss: 0.1281 2023-02-24 10:30:41,802 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 1 day, 17:02:26, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0806, decode.acc_seg: 96.8835, aux.loss_ce: 0.0426, aux.acc_seg: 95.9493, loss: 0.1232 2023-02-24 10:31:38,544 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 1 day, 17:01:24, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0833, decode.acc_seg: 96.7709, aux.loss_ce: 0.0436, aux.acc_seg: 95.8720, loss: 0.1270 2023-02-24 10:32:35,603 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 1 day, 17:00:23, time: 1.141, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0782, decode.acc_seg: 96.9515, aux.loss_ce: 0.0430, aux.acc_seg: 95.8900, loss: 0.1213 2023-02-24 10:33:35,943 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 1 day, 16:59:35, time: 1.207, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0819, decode.acc_seg: 96.8111, aux.loss_ce: 0.0433, aux.acc_seg: 95.8797, loss: 0.1252 2023-02-24 10:34:32,634 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 1 day, 16:58:33, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0782, decode.acc_seg: 96.9549, aux.loss_ce: 0.0423, aux.acc_seg: 96.0062, loss: 0.1205 2023-02-24 10:35:29,331 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 1 day, 16:57:31, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0795, decode.acc_seg: 96.8991, aux.loss_ce: 0.0435, aux.acc_seg: 95.8611, loss: 0.1229 2023-02-24 10:36:26,081 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 1 day, 16:56:29, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0822, decode.acc_seg: 96.8026, aux.loss_ce: 0.0442, aux.acc_seg: 95.8010, loss: 0.1264 2023-02-24 10:37:26,616 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 1 day, 16:55:42, time: 1.211, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0788, decode.acc_seg: 96.8954, aux.loss_ce: 0.0414, aux.acc_seg: 96.0557, loss: 0.1202 2023-02-24 10:38:23,212 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 1 day, 16:54:39, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0805, decode.acc_seg: 96.8553, aux.loss_ce: 0.0430, aux.acc_seg: 95.8903, loss: 0.1235 2023-02-24 10:39:19,809 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 1 day, 16:53:36, time: 1.132, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0786, decode.acc_seg: 96.9242, aux.loss_ce: 0.0429, aux.acc_seg: 95.8814, loss: 0.1215 2023-02-24 10:40:19,833 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 1 day, 16:52:47, time: 1.200, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0792, decode.acc_seg: 96.9096, aux.loss_ce: 0.0424, aux.acc_seg: 95.9847, loss: 0.1216 2023-02-24 10:41:16,464 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 1 day, 16:51:45, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0787, decode.acc_seg: 96.9431, aux.loss_ce: 0.0427, aux.acc_seg: 95.9327, loss: 0.1214 2023-02-24 10:42:13,177 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 1 day, 16:50:42, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0853, decode.acc_seg: 96.6608, aux.loss_ce: 0.0442, aux.acc_seg: 95.7325, loss: 0.1295 2023-02-24 10:43:09,840 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 1 day, 16:49:40, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0782, decode.acc_seg: 96.9494, aux.loss_ce: 0.0420, aux.acc_seg: 95.9805, loss: 0.1202 2023-02-24 10:44:09,510 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 1 day, 16:48:49, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0776, decode.acc_seg: 96.9563, aux.loss_ce: 0.0403, aux.acc_seg: 96.1545, loss: 0.1179 2023-02-24 10:45:06,160 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:45:06,160 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 1 day, 16:47:47, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0765, decode.acc_seg: 96.9904, aux.loss_ce: 0.0411, aux.acc_seg: 96.0432, loss: 0.1177 2023-02-24 10:46:03,048 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 1 day, 16:46:46, time: 1.138, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0798, decode.acc_seg: 96.8673, aux.loss_ce: 0.0435, aux.acc_seg: 95.8165, loss: 0.1234 2023-02-24 10:46:59,653 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 1 day, 16:45:43, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0825, decode.acc_seg: 96.7483, aux.loss_ce: 0.0428, aux.acc_seg: 95.8937, loss: 0.1253 2023-02-24 10:47:59,166 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 1 day, 16:44:52, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0831, decode.acc_seg: 96.7868, aux.loss_ce: 0.0439, aux.acc_seg: 95.8878, loss: 0.1270 2023-02-24 10:48:55,938 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 1 day, 16:43:50, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0803, decode.acc_seg: 96.8618, aux.loss_ce: 0.0418, aux.acc_seg: 96.0137, loss: 0.1222 2023-02-24 10:49:52,732 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 1 day, 16:42:48, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0871, decode.acc_seg: 96.6390, aux.loss_ce: 0.0456, aux.acc_seg: 95.7234, loss: 0.1327 2023-02-24 10:50:52,607 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 1 day, 16:41:58, time: 1.197, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0798, decode.acc_seg: 96.8863, aux.loss_ce: 0.0420, aux.acc_seg: 95.9663, loss: 0.1218 2023-02-24 10:51:49,412 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 1 day, 16:40:57, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0775, decode.acc_seg: 96.9641, aux.loss_ce: 0.0431, aux.acc_seg: 95.8566, loss: 0.1206 2023-02-24 10:52:46,055 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 1 day, 16:39:54, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0854, decode.acc_seg: 96.6364, aux.loss_ce: 0.0465, aux.acc_seg: 95.6228, loss: 0.1318 2023-02-24 10:53:42,672 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 1 day, 16:38:52, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0815, decode.acc_seg: 96.8442, aux.loss_ce: 0.0430, aux.acc_seg: 95.9281, loss: 0.1246 2023-02-24 10:54:43,467 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 1 day, 16:38:05, time: 1.216, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0914, decode.acc_seg: 96.5259, aux.loss_ce: 0.0457, aux.acc_seg: 95.7646, loss: 0.1371 2023-02-24 10:55:40,210 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 1 day, 16:37:04, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0766, decode.acc_seg: 97.0179, aux.loss_ce: 0.0417, aux.acc_seg: 96.0027, loss: 0.1183 2023-02-24 10:56:36,781 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 1 day, 16:36:01, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0807, decode.acc_seg: 96.8660, aux.loss_ce: 0.0438, aux.acc_seg: 95.8328, loss: 0.1245 2023-02-24 10:57:33,457 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 1 day, 16:34:59, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0828, decode.acc_seg: 96.7987, aux.loss_ce: 0.0429, aux.acc_seg: 95.8924, loss: 0.1257 2023-02-24 10:58:34,035 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 1 day, 16:34:11, time: 1.211, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0826, decode.acc_seg: 96.8071, aux.loss_ce: 0.0422, aux.acc_seg: 95.9648, loss: 0.1248 2023-02-24 10:59:31,182 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 1 day, 16:33:11, time: 1.143, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0789, decode.acc_seg: 96.8837, aux.loss_ce: 0.0426, aux.acc_seg: 95.8941, loss: 0.1214 2023-02-24 11:00:27,934 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 1 day, 16:32:09, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0782, decode.acc_seg: 96.9159, aux.loss_ce: 0.0415, aux.acc_seg: 96.0102, loss: 0.1197 2023-02-24 11:01:24,691 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 1 day, 16:31:08, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0808, decode.acc_seg: 96.8814, aux.loss_ce: 0.0422, aux.acc_seg: 96.0113, loss: 0.1231 2023-02-24 11:02:24,999 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 1 day, 16:30:19, time: 1.206, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0802, decode.acc_seg: 96.8636, aux.loss_ce: 0.0419, aux.acc_seg: 95.9982, loss: 0.1220 2023-02-24 11:03:21,788 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 1 day, 16:29:17, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0853, decode.acc_seg: 96.6750, aux.loss_ce: 0.0441, aux.acc_seg: 95.8214, loss: 0.1294 2023-02-24 11:04:18,511 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:04:18,512 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 1 day, 16:28:15, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0804, decode.acc_seg: 96.8445, aux.loss_ce: 0.0432, aux.acc_seg: 95.8717, loss: 0.1235 2023-02-24 11:05:19,343 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 1 day, 16:27:29, time: 1.216, data_time: 0.097, memory: 27881, decode.loss_ce: 0.0840, decode.acc_seg: 96.7326, aux.loss_ce: 0.0441, aux.acc_seg: 95.8013, loss: 0.1282 2023-02-24 11:06:16,013 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 1 day, 16:26:27, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0778, decode.acc_seg: 96.9497, aux.loss_ce: 0.0412, aux.acc_seg: 96.0382, loss: 0.1191 2023-02-24 11:07:12,780 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 1 day, 16:25:25, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0799, decode.acc_seg: 96.9090, aux.loss_ce: 0.0414, aux.acc_seg: 96.0238, loss: 0.1213 2023-02-24 11:08:09,485 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 1 day, 16:24:23, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0763, decode.acc_seg: 97.0017, aux.loss_ce: 0.0418, aux.acc_seg: 95.9871, loss: 0.1180 2023-02-24 11:09:10,274 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 1 day, 16:23:36, time: 1.216, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0760, decode.acc_seg: 97.0323, aux.loss_ce: 0.0415, aux.acc_seg: 96.0436, loss: 0.1175 2023-02-24 11:10:06,866 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 1 day, 16:22:34, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0754, decode.acc_seg: 97.0212, aux.loss_ce: 0.0408, aux.acc_seg: 96.0521, loss: 0.1162 2023-02-24 11:11:03,502 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 1 day, 16:21:32, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0772, decode.acc_seg: 96.9515, aux.loss_ce: 0.0421, aux.acc_seg: 95.9625, loss: 0.1193 2023-02-24 11:12:00,154 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 1 day, 16:20:30, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0729, decode.acc_seg: 97.1271, aux.loss_ce: 0.0392, aux.acc_seg: 96.2009, loss: 0.1121 2023-02-24 11:13:00,521 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 1 day, 16:19:41, time: 1.207, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0753, decode.acc_seg: 97.0452, aux.loss_ce: 0.0402, aux.acc_seg: 96.1553, loss: 0.1155 2023-02-24 11:13:57,210 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 1 day, 16:18:39, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0785, decode.acc_seg: 96.9010, aux.loss_ce: 0.0420, aux.acc_seg: 95.9237, loss: 0.1205 2023-02-24 11:14:53,940 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 1 day, 16:17:37, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0766, decode.acc_seg: 96.9509, aux.loss_ce: 0.0405, aux.acc_seg: 96.0841, loss: 0.1171 2023-02-24 11:15:55,150 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 1 day, 16:16:52, time: 1.224, data_time: 0.103, memory: 27881, decode.loss_ce: 0.0797, decode.acc_seg: 96.9025, aux.loss_ce: 0.0420, aux.acc_seg: 95.9824, loss: 0.1218 2023-02-24 11:16:51,690 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 1 day, 16:15:50, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0813, decode.acc_seg: 96.8232, aux.loss_ce: 0.0435, aux.acc_seg: 95.8143, loss: 0.1248 2023-02-24 11:17:48,387 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 1 day, 16:14:48, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0851, decode.acc_seg: 96.7027, aux.loss_ce: 0.0441, aux.acc_seg: 95.7697, loss: 0.1292 2023-02-24 11:18:45,018 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 1 day, 16:13:46, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0781, decode.acc_seg: 96.9602, aux.loss_ce: 0.0422, aux.acc_seg: 95.9791, loss: 0.1203 2023-02-24 11:19:45,746 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 1 day, 16:12:58, time: 1.215, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0782, decode.acc_seg: 96.9204, aux.loss_ce: 0.0413, aux.acc_seg: 96.0378, loss: 0.1195 2023-02-24 11:20:42,582 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 1 day, 16:11:57, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0756, decode.acc_seg: 97.0132, aux.loss_ce: 0.0413, aux.acc_seg: 96.0246, loss: 0.1170 2023-02-24 11:21:39,295 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 1 day, 16:10:55, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0799, decode.acc_seg: 96.8638, aux.loss_ce: 0.0427, aux.acc_seg: 95.8696, loss: 0.1227 2023-02-24 11:22:36,448 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 1 day, 16:09:55, time: 1.143, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0908, decode.acc_seg: 96.5017, aux.loss_ce: 0.0446, aux.acc_seg: 95.7568, loss: 0.1354 2023-02-24 11:23:37,148 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:23:37,148 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 1 day, 16:09:07, time: 1.214, data_time: 0.095, memory: 27881, decode.loss_ce: 0.0830, decode.acc_seg: 96.8044, aux.loss_ce: 0.0428, aux.acc_seg: 95.8959, loss: 0.1258 2023-02-24 11:24:33,780 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 1 day, 16:08:05, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0825, decode.acc_seg: 96.7926, aux.loss_ce: 0.0434, aux.acc_seg: 95.8301, loss: 0.1259 2023-02-24 11:25:30,542 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 1 day, 16:07:04, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0818, decode.acc_seg: 96.7876, aux.loss_ce: 0.0419, aux.acc_seg: 95.9557, loss: 0.1236 2023-02-24 11:26:27,262 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 1 day, 16:06:02, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0834, decode.acc_seg: 96.7862, aux.loss_ce: 0.0437, aux.acc_seg: 95.8686, loss: 0.1270 2023-02-24 11:27:27,814 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 1 day, 16:05:14, time: 1.211, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0837, decode.acc_seg: 96.7414, aux.loss_ce: 0.0429, aux.acc_seg: 95.8913, loss: 0.1266 2023-02-24 11:28:24,491 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 1 day, 16:04:12, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0799, decode.acc_seg: 96.9130, aux.loss_ce: 0.0420, aux.acc_seg: 95.9898, loss: 0.1219 2023-02-24 11:29:21,458 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 1 day, 16:03:11, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0741, decode.acc_seg: 97.1018, aux.loss_ce: 0.0394, aux.acc_seg: 96.2232, loss: 0.1135 2023-02-24 11:30:21,852 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 1 day, 16:02:23, time: 1.208, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0749, decode.acc_seg: 97.0390, aux.loss_ce: 0.0409, aux.acc_seg: 96.0614, loss: 0.1158 2023-02-24 11:31:18,627 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 1 day, 16:01:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0755, decode.acc_seg: 97.0538, aux.loss_ce: 0.0416, aux.acc_seg: 96.0246, loss: 0.1171 2023-02-24 11:32:15,358 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 1 day, 16:00:19, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0770, decode.acc_seg: 96.9929, aux.loss_ce: 0.0409, aux.acc_seg: 96.0682, loss: 0.1179 2023-02-24 11:33:12,099 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 1 day, 15:59:18, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0744, decode.acc_seg: 97.0646, aux.loss_ce: 0.0392, aux.acc_seg: 96.2262, loss: 0.1136 2023-02-24 11:34:12,494 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 1 day, 15:58:29, time: 1.208, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0764, decode.acc_seg: 96.9891, aux.loss_ce: 0.0402, aux.acc_seg: 96.1249, loss: 0.1166 2023-02-24 11:35:09,210 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 1 day, 15:57:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0800, decode.acc_seg: 96.9342, aux.loss_ce: 0.0415, aux.acc_seg: 96.0573, loss: 0.1214 2023-02-24 11:36:06,554 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 1 day, 15:56:28, time: 1.147, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0793, decode.acc_seg: 96.8788, aux.loss_ce: 0.0419, aux.acc_seg: 95.9433, loss: 0.1212 2023-02-24 11:37:03,221 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 1 day, 15:55:26, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0730, decode.acc_seg: 97.1254, aux.loss_ce: 0.0390, aux.acc_seg: 96.2356, loss: 0.1120 2023-02-24 11:38:03,890 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 1 day, 15:54:38, time: 1.214, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0778, decode.acc_seg: 96.9922, aux.loss_ce: 0.0414, aux.acc_seg: 96.0895, loss: 0.1192 2023-02-24 11:39:00,569 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 1 day, 15:53:36, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0783, decode.acc_seg: 96.9269, aux.loss_ce: 0.0411, aux.acc_seg: 96.0109, loss: 0.1194 2023-02-24 11:39:57,232 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 1 day, 15:52:35, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0802, decode.acc_seg: 96.8572, aux.loss_ce: 0.0424, aux.acc_seg: 95.9403, loss: 0.1226 2023-02-24 11:40:57,917 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 1 day, 15:51:47, time: 1.214, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0761, decode.acc_seg: 97.0384, aux.loss_ce: 0.0421, aux.acc_seg: 95.9616, loss: 0.1182 2023-02-24 11:41:54,528 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 1 day, 15:50:45, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0777, decode.acc_seg: 96.9633, aux.loss_ce: 0.0415, aux.acc_seg: 96.0600, loss: 0.1192 2023-02-24 11:42:51,726 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:42:51,730 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 1 day, 15:49:45, time: 1.144, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0759, decode.acc_seg: 97.0016, aux.loss_ce: 0.0416, aux.acc_seg: 95.9868, loss: 0.1175 2023-02-24 11:43:48,334 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 1 day, 15:48:43, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0749, decode.acc_seg: 97.0472, aux.loss_ce: 0.0407, aux.acc_seg: 96.0771, loss: 0.1155 2023-02-24 11:44:49,019 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 1 day, 15:47:55, time: 1.214, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0734, decode.acc_seg: 97.1356, aux.loss_ce: 0.0398, aux.acc_seg: 96.1701, loss: 0.1132 2023-02-24 11:45:45,735 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 1 day, 15:46:53, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0770, decode.acc_seg: 96.9489, aux.loss_ce: 0.0422, aux.acc_seg: 95.9184, loss: 0.1192 2023-02-24 11:46:42,328 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 1 day, 15:45:51, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0761, decode.acc_seg: 96.9797, aux.loss_ce: 0.0412, aux.acc_seg: 96.0181, loss: 0.1173 2023-02-24 11:47:38,907 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 1 day, 15:44:49, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0772, decode.acc_seg: 96.9492, aux.loss_ce: 0.0400, aux.acc_seg: 96.1106, loss: 0.1172 2023-02-24 11:48:39,686 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 1 day, 15:44:01, time: 1.216, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0727, decode.acc_seg: 97.1307, aux.loss_ce: 0.0394, aux.acc_seg: 96.2027, loss: 0.1121 2023-02-24 11:49:36,879 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 1 day, 15:43:01, time: 1.144, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0769, decode.acc_seg: 96.9585, aux.loss_ce: 0.0400, aux.acc_seg: 96.1406, loss: 0.1169 2023-02-24 11:50:33,565 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 1 day, 15:42:00, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0748, decode.acc_seg: 97.0330, aux.loss_ce: 0.0398, aux.acc_seg: 96.1318, loss: 0.1146 2023-02-24 11:51:30,321 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 1 day, 15:40:58, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0748, decode.acc_seg: 97.0378, aux.loss_ce: 0.0402, aux.acc_seg: 96.1198, loss: 0.1149 2023-02-24 11:52:31,078 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 1 day, 15:40:11, time: 1.215, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0730, decode.acc_seg: 97.1171, aux.loss_ce: 0.0402, aux.acc_seg: 96.1196, loss: 0.1133 2023-02-24 11:53:27,856 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 1 day, 15:39:09, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0703, decode.acc_seg: 97.2118, aux.loss_ce: 0.0377, aux.acc_seg: 96.3351, loss: 0.1080 2023-02-24 11:54:24,574 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 1 day, 15:38:08, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0762, decode.acc_seg: 96.9906, aux.loss_ce: 0.0413, aux.acc_seg: 96.0352, loss: 0.1175 2023-02-24 11:55:26,140 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 1 day, 15:37:23, time: 1.231, data_time: 0.107, memory: 27881, decode.loss_ce: 0.0747, decode.acc_seg: 97.0670, aux.loss_ce: 0.0399, aux.acc_seg: 96.1937, loss: 0.1145 2023-02-24 11:56:22,814 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 1 day, 15:36:21, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0732, decode.acc_seg: 97.1041, aux.loss_ce: 0.0397, aux.acc_seg: 96.1361, loss: 0.1130 2023-02-24 11:57:19,522 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 1 day, 15:35:19, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0775, decode.acc_seg: 96.9640, aux.loss_ce: 0.0402, aux.acc_seg: 96.1478, loss: 0.1177 2023-02-24 11:58:16,137 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 1 day, 15:34:17, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0734, decode.acc_seg: 97.0950, aux.loss_ce: 0.0409, aux.acc_seg: 96.0481, loss: 0.1143 2023-02-24 11:59:16,766 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 1 day, 15:33:29, time: 1.213, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0745, decode.acc_seg: 97.0904, aux.loss_ce: 0.0402, aux.acc_seg: 96.1654, loss: 0.1146 2023-02-24 12:00:13,447 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 1 day, 15:32:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0743, decode.acc_seg: 97.0898, aux.loss_ce: 0.0402, aux.acc_seg: 96.1414, loss: 0.1145 2023-02-24 12:01:10,276 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 1 day, 15:31:26, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0760, decode.acc_seg: 96.9957, aux.loss_ce: 0.0402, aux.acc_seg: 96.1235, loss: 0.1162 2023-02-24 12:02:07,441 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:02:07,441 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 1 day, 15:30:26, time: 1.143, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0726, decode.acc_seg: 97.1412, aux.loss_ce: 0.0388, aux.acc_seg: 96.2248, loss: 0.1114 2023-02-24 12:03:07,641 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 1 day, 15:29:36, time: 1.204, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0761, decode.acc_seg: 97.0293, aux.loss_ce: 0.0412, aux.acc_seg: 96.0480, loss: 0.1173 2023-02-24 12:04:04,362 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 1 day, 15:28:35, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0757, decode.acc_seg: 97.0044, aux.loss_ce: 0.0409, aux.acc_seg: 96.0447, loss: 0.1166 2023-02-24 12:05:01,063 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 1 day, 15:27:33, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0743, decode.acc_seg: 97.0683, aux.loss_ce: 0.0410, aux.acc_seg: 96.0530, loss: 0.1153 2023-02-24 12:05:57,802 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 1 day, 15:26:32, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0748, decode.acc_seg: 97.0664, aux.loss_ce: 0.0396, aux.acc_seg: 96.1747, loss: 0.1145 2023-02-24 12:06:58,320 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 1 day, 15:25:43, time: 1.210, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0772, decode.acc_seg: 96.9655, aux.loss_ce: 0.0413, aux.acc_seg: 96.0523, loss: 0.1185 2023-02-24 12:07:55,064 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 1 day, 15:24:42, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0765, decode.acc_seg: 96.9649, aux.loss_ce: 0.0409, aux.acc_seg: 96.0703, loss: 0.1174 2023-02-24 12:08:52,428 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 1 day, 15:23:43, time: 1.147, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0741, decode.acc_seg: 97.0798, aux.loss_ce: 0.0388, aux.acc_seg: 96.2404, loss: 0.1129 2023-02-24 12:09:53,003 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 1 day, 15:22:54, time: 1.211, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0736, decode.acc_seg: 97.1254, aux.loss_ce: 0.0400, aux.acc_seg: 96.1642, loss: 0.1137 2023-02-24 12:10:49,789 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 1 day, 15:21:53, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0785, decode.acc_seg: 96.9362, aux.loss_ce: 0.0412, aux.acc_seg: 96.0553, loss: 0.1197 2023-02-24 12:11:46,492 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 1 day, 15:20:51, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0784, decode.acc_seg: 96.9401, aux.loss_ce: 0.0406, aux.acc_seg: 96.0795, loss: 0.1190 2023-02-24 12:12:43,266 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 1 day, 15:19:50, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0740, decode.acc_seg: 97.1048, aux.loss_ce: 0.0395, aux.acc_seg: 96.2417, loss: 0.1134 2023-02-24 12:13:43,364 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 1 day, 15:18:59, time: 1.202, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0770, decode.acc_seg: 96.9591, aux.loss_ce: 0.0416, aux.acc_seg: 96.0004, loss: 0.1186 2023-02-24 12:14:39,970 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 1 day, 15:17:58, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0757, decode.acc_seg: 97.0214, aux.loss_ce: 0.0400, aux.acc_seg: 96.1506, loss: 0.1157 2023-02-24 12:15:36,711 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 1 day, 15:16:56, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0756, decode.acc_seg: 97.0352, aux.loss_ce: 0.0400, aux.acc_seg: 96.1546, loss: 0.1156 2023-02-24 12:16:33,373 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 1 day, 15:15:55, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0794, decode.acc_seg: 96.8783, aux.loss_ce: 0.0405, aux.acc_seg: 96.1152, loss: 0.1199 2023-02-24 12:17:34,717 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 1 day, 15:15:08, time: 1.227, data_time: 0.100, memory: 27881, decode.loss_ce: 0.0772, decode.acc_seg: 96.9694, aux.loss_ce: 0.0417, aux.acc_seg: 95.9972, loss: 0.1189 2023-02-24 12:18:31,463 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 1 day, 15:14:07, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0760, decode.acc_seg: 97.0071, aux.loss_ce: 0.0399, aux.acc_seg: 96.1379, loss: 0.1159 2023-02-24 12:19:28,215 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 1 day, 15:13:06, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0735, decode.acc_seg: 97.1139, aux.loss_ce: 0.0405, aux.acc_seg: 96.1403, loss: 0.1140 2023-02-24 12:20:29,595 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 1 day, 15:12:20, time: 1.227, data_time: 0.106, memory: 27881, decode.loss_ce: 0.0786, decode.acc_seg: 96.9184, aux.loss_ce: 0.0407, aux.acc_seg: 96.0367, loss: 0.1193 2023-02-24 12:21:26,305 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:21:26,333 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 1 day, 15:11:18, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0758, decode.acc_seg: 96.9861, aux.loss_ce: 0.0400, aux.acc_seg: 96.1267, loss: 0.1158 2023-02-24 12:22:23,116 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 1 day, 15:10:17, time: 1.136, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0720, decode.acc_seg: 97.1481, aux.loss_ce: 0.0390, aux.acc_seg: 96.2396, loss: 0.1110 2023-02-24 12:23:19,789 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 1 day, 15:09:16, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0766, decode.acc_seg: 96.9638, aux.loss_ce: 0.0405, aux.acc_seg: 96.0935, loss: 0.1171 2023-02-24 12:24:20,140 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 1 day, 15:08:26, time: 1.207, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0849, decode.acc_seg: 96.6894, aux.loss_ce: 0.0430, aux.acc_seg: 95.9037, loss: 0.1279 2023-02-24 12:25:16,718 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 1 day, 15:07:24, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0689, decode.acc_seg: 97.2649, aux.loss_ce: 0.0377, aux.acc_seg: 96.3426, loss: 0.1066 2023-02-24 12:26:13,495 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 1 day, 15:06:23, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0763, decode.acc_seg: 96.9955, aux.loss_ce: 0.0407, aux.acc_seg: 96.0603, loss: 0.1170 2023-02-24 12:27:10,130 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 1 day, 15:05:21, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0739, decode.acc_seg: 97.0899, aux.loss_ce: 0.0396, aux.acc_seg: 96.2019, loss: 0.1135 2023-02-24 12:28:10,935 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 1 day, 15:04:33, time: 1.216, data_time: 0.094, memory: 27881, decode.loss_ce: 0.0743, decode.acc_seg: 97.0458, aux.loss_ce: 0.0401, aux.acc_seg: 96.1124, loss: 0.1144 2023-02-24 12:29:07,918 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 1 day, 15:03:33, time: 1.140, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1422, aux.loss_ce: 0.0392, aux.acc_seg: 96.2156, loss: 0.1117 2023-02-24 12:30:04,478 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 1 day, 15:02:31, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0743, decode.acc_seg: 97.0796, aux.loss_ce: 0.0403, aux.acc_seg: 96.1159, loss: 0.1147 2023-02-24 12:31:01,159 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 1 day, 15:01:29, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0831, decode.acc_seg: 96.8257, aux.loss_ce: 0.0443, aux.acc_seg: 95.8845, loss: 0.1274 2023-02-24 12:32:01,951 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 1 day, 15:00:41, time: 1.216, data_time: 0.097, memory: 27881, decode.loss_ce: 0.0709, decode.acc_seg: 97.1996, aux.loss_ce: 0.0381, aux.acc_seg: 96.3068, loss: 0.1090 2023-02-24 12:32:58,631 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 1 day, 14:59:40, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0740, decode.acc_seg: 97.0562, aux.loss_ce: 0.0390, aux.acc_seg: 96.2296, loss: 0.1130 2023-02-24 12:33:55,346 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 1 day, 14:58:38, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0715, decode.acc_seg: 97.1733, aux.loss_ce: 0.0379, aux.acc_seg: 96.3211, loss: 0.1094 2023-02-24 12:34:56,160 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 1 day, 14:57:50, time: 1.216, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0766, decode.acc_seg: 96.9965, aux.loss_ce: 0.0408, aux.acc_seg: 96.1255, loss: 0.1174 2023-02-24 12:35:53,169 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 1 day, 14:56:50, time: 1.140, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0728, decode.acc_seg: 97.1423, aux.loss_ce: 0.0398, aux.acc_seg: 96.1670, loss: 0.1125 2023-02-24 12:36:50,026 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 1 day, 14:55:49, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0736, decode.acc_seg: 97.0977, aux.loss_ce: 0.0395, aux.acc_seg: 96.1708, loss: 0.1131 2023-02-24 12:37:46,702 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 1 day, 14:54:47, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0752, decode.acc_seg: 97.0144, aux.loss_ce: 0.0395, aux.acc_seg: 96.1347, loss: 0.1147 2023-02-24 12:38:47,176 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 1 day, 14:53:58, time: 1.209, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0751, decode.acc_seg: 97.0151, aux.loss_ce: 0.0408, aux.acc_seg: 96.0420, loss: 0.1159 2023-02-24 12:39:43,880 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 1 day, 14:52:56, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0867, decode.acc_seg: 96.6358, aux.loss_ce: 0.0460, aux.acc_seg: 95.7049, loss: 0.1327 2023-02-24 12:40:40,546 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:40:40,550 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 1 day, 14:51:55, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0789, decode.acc_seg: 96.9024, aux.loss_ce: 0.0432, aux.acc_seg: 95.8436, loss: 0.1220 2023-02-24 12:41:37,229 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 1 day, 14:50:54, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0862, decode.acc_seg: 96.7627, aux.loss_ce: 0.0432, aux.acc_seg: 95.8817, loss: 0.1294 2023-02-24 12:42:38,115 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 1 day, 14:50:05, time: 1.218, data_time: 0.095, memory: 27881, decode.loss_ce: 0.0752, decode.acc_seg: 97.0225, aux.loss_ce: 0.0406, aux.acc_seg: 96.1377, loss: 0.1158 2023-02-24 12:43:34,745 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 1 day, 14:49:04, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0760, decode.acc_seg: 97.0032, aux.loss_ce: 0.0409, aux.acc_seg: 96.0416, loss: 0.1169 2023-02-24 12:44:31,435 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 1 day, 14:48:03, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0712, decode.acc_seg: 97.1802, aux.loss_ce: 0.0400, aux.acc_seg: 96.1273, loss: 0.1112 2023-02-24 12:45:33,244 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 1 day, 14:47:17, time: 1.236, data_time: 0.116, memory: 27881, decode.loss_ce: 0.0729, decode.acc_seg: 97.1162, aux.loss_ce: 0.0397, aux.acc_seg: 96.1347, loss: 0.1126 2023-02-24 12:46:29,887 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 1 day, 14:46:16, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0727, decode.acc_seg: 97.1283, aux.loss_ce: 0.0395, aux.acc_seg: 96.1734, loss: 0.1122 2023-02-24 12:47:26,549 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 1 day, 14:45:14, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0713, decode.acc_seg: 97.1784, aux.loss_ce: 0.0401, aux.acc_seg: 96.1439, loss: 0.1115 2023-02-24 12:48:23,423 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 1 day, 14:44:14, time: 1.137, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0707, decode.acc_seg: 97.2198, aux.loss_ce: 0.0392, aux.acc_seg: 96.2401, loss: 0.1099 2023-02-24 12:49:23,443 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 1 day, 14:43:23, time: 1.201, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0740, decode.acc_seg: 97.0758, aux.loss_ce: 0.0403, aux.acc_seg: 96.0894, loss: 0.1143 2023-02-24 12:50:20,110 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 1 day, 14:42:21, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0697, decode.acc_seg: 97.2629, aux.loss_ce: 0.0394, aux.acc_seg: 96.2576, loss: 0.1090 2023-02-24 12:51:16,816 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 1 day, 14:41:20, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0734, decode.acc_seg: 97.1126, aux.loss_ce: 0.0412, aux.acc_seg: 96.0794, loss: 0.1147 2023-02-24 12:52:13,598 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 1 day, 14:40:19, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0719, decode.acc_seg: 97.1558, aux.loss_ce: 0.0384, aux.acc_seg: 96.2913, loss: 0.1103 2023-02-24 12:53:13,984 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 1 day, 14:39:29, time: 1.207, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1303, aux.loss_ce: 0.0395, aux.acc_seg: 96.1829, loss: 0.1119 2023-02-24 12:54:10,562 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 1 day, 14:38:27, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0718, decode.acc_seg: 97.1998, aux.loss_ce: 0.0391, aux.acc_seg: 96.2824, loss: 0.1108 2023-02-24 12:55:07,180 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 1 day, 14:37:26, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0718, decode.acc_seg: 97.1163, aux.loss_ce: 0.0386, aux.acc_seg: 96.2047, loss: 0.1105 2023-02-24 12:56:03,928 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 1 day, 14:36:25, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0739, decode.acc_seg: 97.0840, aux.loss_ce: 0.0393, aux.acc_seg: 96.2189, loss: 0.1132 2023-02-24 12:57:03,484 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 1 day, 14:35:32, time: 1.191, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0709, decode.acc_seg: 97.2029, aux.loss_ce: 0.0387, aux.acc_seg: 96.2767, loss: 0.1096 2023-02-24 12:58:00,110 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 1 day, 14:34:31, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0722, decode.acc_seg: 97.1135, aux.loss_ce: 0.0395, aux.acc_seg: 96.1346, loss: 0.1116 2023-02-24 12:58:56,698 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 1 day, 14:33:29, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0702, decode.acc_seg: 97.2041, aux.loss_ce: 0.0382, aux.acc_seg: 96.2494, loss: 0.1084 2023-02-24 12:59:57,047 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:59:57,242 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 1 day, 14:32:39, time: 1.207, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0736, decode.acc_seg: 97.1123, aux.loss_ce: 0.0401, aux.acc_seg: 96.1496, loss: 0.1137 2023-02-24 13:00:53,952 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 1 day, 14:31:39, time: 1.138, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0745, decode.acc_seg: 97.0681, aux.loss_ce: 0.0401, aux.acc_seg: 96.1145, loss: 0.1146 2023-02-24 13:01:50,658 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 1 day, 14:30:38, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0725, decode.acc_seg: 97.1171, aux.loss_ce: 0.0394, aux.acc_seg: 96.1811, loss: 0.1119 2023-02-24 13:02:47,274 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 1 day, 14:29:36, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0745, decode.acc_seg: 97.0371, aux.loss_ce: 0.0403, aux.acc_seg: 96.1451, loss: 0.1148 2023-02-24 13:03:47,259 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 1 day, 14:28:45, time: 1.200, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0759, decode.acc_seg: 97.0274, aux.loss_ce: 0.0412, aux.acc_seg: 96.0693, loss: 0.1171 2023-02-24 13:04:44,093 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 1 day, 14:27:44, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0739, decode.acc_seg: 97.0729, aux.loss_ce: 0.0389, aux.acc_seg: 96.2272, loss: 0.1128 2023-02-24 13:05:40,696 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 1 day, 14:26:43, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0775, decode.acc_seg: 96.9400, aux.loss_ce: 0.0419, aux.acc_seg: 95.9564, loss: 0.1194 2023-02-24 13:06:37,372 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 1 day, 14:25:42, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0744, decode.acc_seg: 97.0689, aux.loss_ce: 0.0407, aux.acc_seg: 96.1328, loss: 0.1151 2023-02-24 13:07:37,199 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 1 day, 14:24:50, time: 1.197, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0717, decode.acc_seg: 97.1377, aux.loss_ce: 0.0395, aux.acc_seg: 96.1627, loss: 0.1112 2023-02-24 13:08:34,300 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 1 day, 14:23:50, time: 1.142, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0717, decode.acc_seg: 97.1626, aux.loss_ce: 0.0387, aux.acc_seg: 96.2683, loss: 0.1104 2023-02-24 13:09:30,977 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 1 day, 14:22:49, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0721, decode.acc_seg: 97.1323, aux.loss_ce: 0.0389, aux.acc_seg: 96.2017, loss: 0.1110 2023-02-24 13:10:32,124 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 1 day, 14:22:01, time: 1.223, data_time: 0.103, memory: 27881, decode.loss_ce: 0.0773, decode.acc_seg: 96.9487, aux.loss_ce: 0.0393, aux.acc_seg: 96.1938, loss: 0.1166 2023-02-24 13:11:29,705 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 1 day, 14:21:02, time: 1.152, data_time: 0.031, memory: 27881, decode.loss_ce: 0.0703, decode.acc_seg: 97.2140, aux.loss_ce: 0.0369, aux.acc_seg: 96.4419, loss: 0.1071 2023-02-24 13:12:26,416 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 1 day, 14:20:01, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0712, decode.acc_seg: 97.1746, aux.loss_ce: 0.0376, aux.acc_seg: 96.3370, loss: 0.1089 2023-02-24 13:13:23,151 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 1 day, 14:19:00, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0747, decode.acc_seg: 97.0540, aux.loss_ce: 0.0400, aux.acc_seg: 96.1228, loss: 0.1148 2023-02-24 13:14:23,015 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 1 day, 14:18:08, time: 1.197, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1439, aux.loss_ce: 0.0393, aux.acc_seg: 96.2066, loss: 0.1117 2023-02-24 13:15:19,822 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 1 day, 14:17:08, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0764, decode.acc_seg: 97.0460, aux.loss_ce: 0.0412, aux.acc_seg: 96.1006, loss: 0.1176 2023-02-24 13:16:16,581 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 1 day, 14:16:07, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0805, decode.acc_seg: 96.8699, aux.loss_ce: 0.0402, aux.acc_seg: 96.1543, loss: 0.1207 2023-02-24 13:17:13,301 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 1 day, 14:15:06, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0754, decode.acc_seg: 97.0182, aux.loss_ce: 0.0394, aux.acc_seg: 96.1752, loss: 0.1148 2023-02-24 13:18:13,893 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 1 day, 14:14:16, time: 1.212, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0719, decode.acc_seg: 97.1425, aux.loss_ce: 0.0392, aux.acc_seg: 96.1880, loss: 0.1111 2023-02-24 13:19:10,579 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:19:10,582 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 1 day, 14:13:15, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0719, decode.acc_seg: 97.2012, aux.loss_ce: 0.0383, aux.acc_seg: 96.3064, loss: 0.1102 2023-02-24 13:20:07,340 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 1 day, 14:12:14, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0712, decode.acc_seg: 97.2042, aux.loss_ce: 0.0383, aux.acc_seg: 96.3128, loss: 0.1095 2023-02-24 13:21:04,977 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 1 day, 14:11:16, time: 1.153, data_time: 0.029, memory: 27881, decode.loss_ce: 0.0704, decode.acc_seg: 97.1900, aux.loss_ce: 0.0379, aux.acc_seg: 96.2953, loss: 0.1082 2023-02-24 13:22:04,824 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 1 day, 14:10:24, time: 1.197, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0712, decode.acc_seg: 97.1971, aux.loss_ce: 0.0381, aux.acc_seg: 96.3403, loss: 0.1092 2023-02-24 13:23:01,508 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 1 day, 14:09:23, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0680, decode.acc_seg: 97.2853, aux.loss_ce: 0.0382, aux.acc_seg: 96.2842, loss: 0.1062 2023-02-24 13:23:58,202 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 1 day, 14:08:22, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0708, decode.acc_seg: 97.2056, aux.loss_ce: 0.0382, aux.acc_seg: 96.3055, loss: 0.1090 2023-02-24 13:24:58,379 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 1 day, 14:07:31, time: 1.203, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0725, decode.acc_seg: 97.1151, aux.loss_ce: 0.0387, aux.acc_seg: 96.2602, loss: 0.1112 2023-02-24 13:25:55,019 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 1 day, 14:06:29, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0699, decode.acc_seg: 97.2194, aux.loss_ce: 0.0382, aux.acc_seg: 96.3126, loss: 0.1080 2023-02-24 13:26:51,703 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 1 day, 14:05:28, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0694, decode.acc_seg: 97.2596, aux.loss_ce: 0.0387, aux.acc_seg: 96.2398, loss: 0.1082 2023-02-24 13:27:48,375 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 1 day, 14:04:27, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0691, decode.acc_seg: 97.2678, aux.loss_ce: 0.0377, aux.acc_seg: 96.3573, loss: 0.1067 2023-02-24 13:28:49,130 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 1 day, 14:03:38, time: 1.215, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0710, decode.acc_seg: 97.1791, aux.loss_ce: 0.0384, aux.acc_seg: 96.2685, loss: 0.1094 2023-02-24 13:29:45,860 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 1 day, 14:02:37, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0695, decode.acc_seg: 97.2349, aux.loss_ce: 0.0375, aux.acc_seg: 96.3681, loss: 0.1070 2023-02-24 13:30:42,490 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 1 day, 14:01:36, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0733, decode.acc_seg: 97.1071, aux.loss_ce: 0.0388, aux.acc_seg: 96.2436, loss: 0.1121 2023-02-24 13:31:39,153 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 1 day, 14:00:35, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0722, decode.acc_seg: 97.1264, aux.loss_ce: 0.0377, aux.acc_seg: 96.3002, loss: 0.1099 2023-02-24 13:32:39,814 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 1 day, 13:59:45, time: 1.213, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0750, decode.acc_seg: 97.0508, aux.loss_ce: 0.0387, aux.acc_seg: 96.2279, loss: 0.1138 2023-02-24 13:33:36,607 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 1 day, 13:58:44, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0735, decode.acc_seg: 97.0800, aux.loss_ce: 0.0393, aux.acc_seg: 96.1643, loss: 0.1128 2023-02-24 13:34:33,367 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 1 day, 13:57:43, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0719, decode.acc_seg: 97.1735, aux.loss_ce: 0.0386, aux.acc_seg: 96.3082, loss: 0.1105 2023-02-24 13:35:30,226 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 1 day, 13:56:43, time: 1.137, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0765, decode.acc_seg: 96.9950, aux.loss_ce: 0.0397, aux.acc_seg: 96.1996, loss: 0.1161 2023-02-24 13:36:30,874 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 1 day, 13:55:53, time: 1.213, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0734, decode.acc_seg: 97.1001, aux.loss_ce: 0.0405, aux.acc_seg: 96.1302, loss: 0.1139 2023-02-24 13:37:27,610 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 1 day, 13:54:52, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0725, decode.acc_seg: 97.1197, aux.loss_ce: 0.0390, aux.acc_seg: 96.2230, loss: 0.1115 2023-02-24 13:38:24,329 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:38:24,344 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 1 day, 13:53:51, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0710, decode.acc_seg: 97.2177, aux.loss_ce: 0.0374, aux.acc_seg: 96.4017, loss: 0.1083 2023-02-24 13:39:24,761 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 1 day, 13:53:01, time: 1.209, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0689, decode.acc_seg: 97.2726, aux.loss_ce: 0.0373, aux.acc_seg: 96.3694, loss: 0.1062 2023-02-24 13:40:21,418 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 1 day, 13:52:00, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0700, decode.acc_seg: 97.1813, aux.loss_ce: 0.0386, aux.acc_seg: 96.1896, loss: 0.1086 2023-02-24 13:41:18,045 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 1 day, 13:50:59, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0727, decode.acc_seg: 97.1244, aux.loss_ce: 0.0389, aux.acc_seg: 96.2533, loss: 0.1116 2023-02-24 13:42:15,371 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 1 day, 13:50:00, time: 1.147, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0695, decode.acc_seg: 97.2544, aux.loss_ce: 0.0371, aux.acc_seg: 96.4022, loss: 0.1066 2023-02-24 13:43:16,177 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 1 day, 13:49:10, time: 1.216, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0714, decode.acc_seg: 97.1885, aux.loss_ce: 0.0377, aux.acc_seg: 96.3618, loss: 0.1091 2023-02-24 13:44:12,801 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 1 day, 13:48:09, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0722, decode.acc_seg: 97.1293, aux.loss_ce: 0.0384, aux.acc_seg: 96.2558, loss: 0.1106 2023-02-24 13:45:09,651 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 1 day, 13:47:09, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0727, decode.acc_seg: 97.1092, aux.loss_ce: 0.0383, aux.acc_seg: 96.2750, loss: 0.1110 2023-02-24 13:46:06,451 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 1 day, 13:46:08, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0723, decode.acc_seg: 97.1531, aux.loss_ce: 0.0398, aux.acc_seg: 96.1617, loss: 0.1121 2023-02-24 13:47:07,012 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 1 day, 13:45:18, time: 1.211, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0691, decode.acc_seg: 97.2672, aux.loss_ce: 0.0388, aux.acc_seg: 96.2978, loss: 0.1078 2023-02-24 13:48:03,698 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 1 day, 13:44:17, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1158, aux.loss_ce: 0.0383, aux.acc_seg: 96.2750, loss: 0.1108 2023-02-24 13:49:00,771 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 1 day, 13:43:17, time: 1.142, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0732, decode.acc_seg: 97.0772, aux.loss_ce: 0.0405, aux.acc_seg: 96.0833, loss: 0.1137 2023-02-24 13:50:01,100 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 1 day, 13:42:26, time: 1.207, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0728, decode.acc_seg: 97.1110, aux.loss_ce: 0.0388, aux.acc_seg: 96.2190, loss: 0.1116 2023-02-24 13:50:57,869 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 1 day, 13:41:25, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0731, decode.acc_seg: 97.0976, aux.loss_ce: 0.0394, aux.acc_seg: 96.2053, loss: 0.1125 2023-02-24 13:51:54,556 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 1 day, 13:40:25, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0710, decode.acc_seg: 97.1640, aux.loss_ce: 0.0391, aux.acc_seg: 96.2062, loss: 0.1100 2023-02-24 13:52:51,280 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 1 day, 13:39:24, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0688, decode.acc_seg: 97.2738, aux.loss_ce: 0.0378, aux.acc_seg: 96.3519, loss: 0.1067 2023-02-24 13:53:50,865 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 1 day, 13:38:31, time: 1.192, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0732, decode.acc_seg: 97.0949, aux.loss_ce: 0.0390, aux.acc_seg: 96.2195, loss: 0.1121 2023-02-24 13:54:47,614 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 1 day, 13:37:30, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0715, decode.acc_seg: 97.1677, aux.loss_ce: 0.0374, aux.acc_seg: 96.3827, loss: 0.1089 2023-02-24 13:55:44,303 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 1 day, 13:36:29, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0736, decode.acc_seg: 97.0858, aux.loss_ce: 0.0387, aux.acc_seg: 96.2743, loss: 0.1123 2023-02-24 13:56:41,057 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 1 day, 13:35:29, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0726, decode.acc_seg: 97.0996, aux.loss_ce: 0.0396, aux.acc_seg: 96.1602, loss: 0.1122 2023-02-24 13:57:40,766 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:57:40,774 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 1 day, 13:34:36, time: 1.194, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0716, decode.acc_seg: 97.1455, aux.loss_ce: 0.0393, aux.acc_seg: 96.1664, loss: 0.1110 2023-02-24 13:58:37,471 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 1 day, 13:33:35, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0757, decode.acc_seg: 97.0319, aux.loss_ce: 0.0396, aux.acc_seg: 96.1976, loss: 0.1153 2023-02-24 13:59:34,164 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 1 day, 13:32:34, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0700, decode.acc_seg: 97.2140, aux.loss_ce: 0.0373, aux.acc_seg: 96.3851, loss: 0.1073 2023-02-24 14:00:31,151 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 1 day, 13:31:34, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1668, aux.loss_ce: 0.0386, aux.acc_seg: 96.2708, loss: 0.1109 2023-02-24 14:01:30,862 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 1 day, 13:30:42, time: 1.194, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0755, decode.acc_seg: 97.0237, aux.loss_ce: 0.0380, aux.acc_seg: 96.3120, loss: 0.1134 2023-02-24 14:02:27,644 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 1 day, 13:29:41, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0687, decode.acc_seg: 97.2623, aux.loss_ce: 0.0372, aux.acc_seg: 96.3736, loss: 0.1059 2023-02-24 14:03:24,354 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 1 day, 13:28:40, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0678, decode.acc_seg: 97.2939, aux.loss_ce: 0.0378, aux.acc_seg: 96.3235, loss: 0.1056 2023-02-24 14:04:24,128 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 1 day, 13:27:48, time: 1.195, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0700, decode.acc_seg: 97.2299, aux.loss_ce: 0.0375, aux.acc_seg: 96.3601, loss: 0.1076 2023-02-24 14:05:21,020 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 1 day, 13:26:47, time: 1.138, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0707, decode.acc_seg: 97.1863, aux.loss_ce: 0.0378, aux.acc_seg: 96.3412, loss: 0.1084 2023-02-24 14:06:17,781 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 1 day, 13:25:47, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0667, decode.acc_seg: 97.3484, aux.loss_ce: 0.0374, aux.acc_seg: 96.3559, loss: 0.1042 2023-02-24 14:07:14,559 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 1 day, 13:24:46, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0708, decode.acc_seg: 97.1880, aux.loss_ce: 0.0378, aux.acc_seg: 96.3155, loss: 0.1086 2023-02-24 14:08:14,930 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 1 day, 13:23:55, time: 1.207, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0721, decode.acc_seg: 97.1651, aux.loss_ce: 0.0385, aux.acc_seg: 96.2948, loss: 0.1106 2023-02-24 14:09:11,715 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 1 day, 13:22:55, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0711, decode.acc_seg: 97.1650, aux.loss_ce: 0.0381, aux.acc_seg: 96.2847, loss: 0.1093 2023-02-24 14:10:08,493 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 1 day, 13:21:54, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0732, decode.acc_seg: 97.0827, aux.loss_ce: 0.0406, aux.acc_seg: 96.0774, loss: 0.1138 2023-02-24 14:11:05,268 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 1 day, 13:20:54, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0711, decode.acc_seg: 97.1970, aux.loss_ce: 0.0378, aux.acc_seg: 96.3902, loss: 0.1089 2023-02-24 14:12:05,837 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 1 day, 13:20:03, time: 1.211, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0736, decode.acc_seg: 97.0825, aux.loss_ce: 0.0393, aux.acc_seg: 96.1965, loss: 0.1129 2023-02-24 14:13:02,574 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 1 day, 13:19:03, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0700, decode.acc_seg: 97.2013, aux.loss_ce: 0.0381, aux.acc_seg: 96.2453, loss: 0.1082 2023-02-24 14:13:59,396 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 1 day, 13:18:02, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0717, decode.acc_seg: 97.1676, aux.loss_ce: 0.0380, aux.acc_seg: 96.3442, loss: 0.1097 2023-02-24 14:15:00,492 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 1 day, 13:17:13, time: 1.222, data_time: 0.098, memory: 27881, decode.loss_ce: 0.0657, decode.acc_seg: 97.3586, aux.loss_ce: 0.0360, aux.acc_seg: 96.4899, loss: 0.1017 2023-02-24 14:15:57,217 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 1 day, 13:16:12, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0675, decode.acc_seg: 97.3549, aux.loss_ce: 0.0373, aux.acc_seg: 96.4486, loss: 0.1048 2023-02-24 14:16:53,821 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:16:53,825 - mmseg - INFO - Iter [44000/160000] lr: 4.350e-05, eta: 1 day, 13:15:11, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0683, decode.acc_seg: 97.2817, aux.loss_ce: 0.0379, aux.acc_seg: 96.3212, loss: 0.1062 2023-02-24 14:17:50,472 - mmseg - INFO - Iter [44050/160000] lr: 4.348e-05, eta: 1 day, 13:14:10, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0684, decode.acc_seg: 97.2859, aux.loss_ce: 0.0365, aux.acc_seg: 96.4460, loss: 0.1049 2023-02-24 14:18:51,054 - mmseg - INFO - Iter [44100/160000] lr: 4.346e-05, eta: 1 day, 13:13:20, time: 1.212, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0720, decode.acc_seg: 97.1239, aux.loss_ce: 0.0398, aux.acc_seg: 96.1213, loss: 0.1118 2023-02-24 14:19:47,669 - mmseg - INFO - Iter [44150/160000] lr: 4.344e-05, eta: 1 day, 13:12:19, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0661, decode.acc_seg: 97.3742, aux.loss_ce: 0.0364, aux.acc_seg: 96.4353, loss: 0.1025 2023-02-24 14:20:44,245 - mmseg - INFO - Iter [44200/160000] lr: 4.343e-05, eta: 1 day, 13:11:18, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0701, decode.acc_seg: 97.1962, aux.loss_ce: 0.0388, aux.acc_seg: 96.1902, loss: 0.1089 2023-02-24 14:21:41,591 - mmseg - INFO - Iter [44250/160000] lr: 4.341e-05, eta: 1 day, 13:10:19, time: 1.147, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0688, decode.acc_seg: 97.2482, aux.loss_ce: 0.0375, aux.acc_seg: 96.3483, loss: 0.1063 2023-02-24 14:22:42,027 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 1 day, 13:09:28, time: 1.209, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0685, decode.acc_seg: 97.2794, aux.loss_ce: 0.0377, aux.acc_seg: 96.3429, loss: 0.1063 2023-02-24 14:23:38,762 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 1 day, 13:08:27, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0694, decode.acc_seg: 97.2254, aux.loss_ce: 0.0367, aux.acc_seg: 96.4141, loss: 0.1061 2023-02-24 14:24:35,464 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 1 day, 13:07:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0687, decode.acc_seg: 97.2676, aux.loss_ce: 0.0382, aux.acc_seg: 96.2874, loss: 0.1069 2023-02-24 14:25:32,114 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 1 day, 13:06:26, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0731, decode.acc_seg: 97.0814, aux.loss_ce: 0.0382, aux.acc_seg: 96.2674, loss: 0.1113 2023-02-24 14:26:32,283 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 1 day, 13:05:34, time: 1.203, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0678, decode.acc_seg: 97.3076, aux.loss_ce: 0.0371, aux.acc_seg: 96.3819, loss: 0.1049 2023-02-24 14:27:28,876 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 1 day, 13:04:33, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0687, decode.acc_seg: 97.2470, aux.loss_ce: 0.0366, aux.acc_seg: 96.4375, loss: 0.1053 2023-02-24 14:28:25,514 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 1 day, 13:03:32, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0728, decode.acc_seg: 97.1096, aux.loss_ce: 0.0382, aux.acc_seg: 96.3060, loss: 0.1109 2023-02-24 14:29:25,028 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 1 day, 13:02:39, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0692, decode.acc_seg: 97.2325, aux.loss_ce: 0.0382, aux.acc_seg: 96.2890, loss: 0.1074 2023-02-24 14:30:21,743 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 1 day, 13:01:38, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0691, decode.acc_seg: 97.2333, aux.loss_ce: 0.0394, aux.acc_seg: 96.1564, loss: 0.1085 2023-02-24 14:31:18,389 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 1 day, 13:00:38, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0685, decode.acc_seg: 97.2453, aux.loss_ce: 0.0371, aux.acc_seg: 96.3667, loss: 0.1056 2023-02-24 14:32:15,056 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 1 day, 12:59:37, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0730, decode.acc_seg: 97.1090, aux.loss_ce: 0.0382, aux.acc_seg: 96.3005, loss: 0.1111 2023-02-24 14:33:14,650 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 1 day, 12:58:44, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0699, decode.acc_seg: 97.2228, aux.loss_ce: 0.0378, aux.acc_seg: 96.3059, loss: 0.1077 2023-02-24 14:34:11,733 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 1 day, 12:57:44, time: 1.142, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0688, decode.acc_seg: 97.2537, aux.loss_ce: 0.0372, aux.acc_seg: 96.3511, loss: 0.1060 2023-02-24 14:35:08,296 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 1 day, 12:56:43, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0686, decode.acc_seg: 97.2733, aux.loss_ce: 0.0379, aux.acc_seg: 96.3133, loss: 0.1065 2023-02-24 14:36:04,880 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:36:05,170 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 1 day, 12:55:42, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0697, decode.acc_seg: 97.2027, aux.loss_ce: 0.0378, aux.acc_seg: 96.3259, loss: 0.1075 2023-02-24 14:37:04,835 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 1 day, 12:54:50, time: 1.199, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0785, decode.acc_seg: 96.8823, aux.loss_ce: 0.0397, aux.acc_seg: 96.1744, loss: 0.1182 2023-02-24 14:38:01,948 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 1 day, 12:53:50, time: 1.142, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0775, decode.acc_seg: 96.9914, aux.loss_ce: 0.0409, aux.acc_seg: 96.1100, loss: 0.1184 2023-02-24 14:38:58,636 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 1 day, 12:52:50, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1520, aux.loss_ce: 0.0378, aux.acc_seg: 96.3399, loss: 0.1102 2023-02-24 14:39:58,630 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 1 day, 12:51:57, time: 1.200, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0717, decode.acc_seg: 97.1646, aux.loss_ce: 0.0387, aux.acc_seg: 96.2686, loss: 0.1104 2023-02-24 14:40:55,277 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 1 day, 12:50:57, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0718, decode.acc_seg: 97.1520, aux.loss_ce: 0.0385, aux.acc_seg: 96.2512, loss: 0.1103 2023-02-24 14:41:51,966 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 1 day, 12:49:56, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0667, decode.acc_seg: 97.3426, aux.loss_ce: 0.0368, aux.acc_seg: 96.4019, loss: 0.1035 2023-02-24 14:42:48,656 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 1 day, 12:48:55, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0705, decode.acc_seg: 97.1930, aux.loss_ce: 0.0384, aux.acc_seg: 96.2550, loss: 0.1089 2023-02-24 14:43:49,031 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 1 day, 12:48:04, time: 1.208, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0755, decode.acc_seg: 96.9955, aux.loss_ce: 0.0381, aux.acc_seg: 96.3266, loss: 0.1136 2023-02-24 14:44:45,621 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 1 day, 12:47:03, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0716, decode.acc_seg: 97.1468, aux.loss_ce: 0.0377, aux.acc_seg: 96.3237, loss: 0.1093 2023-02-24 14:45:42,240 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 1 day, 12:46:03, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0665, decode.acc_seg: 97.3564, aux.loss_ce: 0.0355, aux.acc_seg: 96.5326, loss: 0.1020 2023-02-24 14:46:38,863 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 1 day, 12:45:02, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0728, decode.acc_seg: 97.0986, aux.loss_ce: 0.0386, aux.acc_seg: 96.2666, loss: 0.1114 2023-02-24 14:47:38,371 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 1 day, 12:44:08, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0722, decode.acc_seg: 97.1355, aux.loss_ce: 0.0378, aux.acc_seg: 96.3369, loss: 0.1100 2023-02-24 14:48:35,086 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 1 day, 12:43:08, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0677, decode.acc_seg: 97.2965, aux.loss_ce: 0.0368, aux.acc_seg: 96.4224, loss: 0.1045 2023-02-24 14:49:32,053 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 1 day, 12:42:08, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0690, decode.acc_seg: 97.2551, aux.loss_ce: 0.0375, aux.acc_seg: 96.3351, loss: 0.1065 2023-02-24 14:50:28,704 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 1 day, 12:41:07, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0704, decode.acc_seg: 97.2134, aux.loss_ce: 0.0377, aux.acc_seg: 96.3506, loss: 0.1081 2023-02-24 14:51:28,325 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 1 day, 12:40:14, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0713, decode.acc_seg: 97.1546, aux.loss_ce: 0.0373, aux.acc_seg: 96.3561, loss: 0.1086 2023-02-24 14:52:24,971 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 1 day, 12:39:13, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0683, decode.acc_seg: 97.2724, aux.loss_ce: 0.0383, aux.acc_seg: 96.3063, loss: 0.1066 2023-02-24 14:53:22,071 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 1 day, 12:38:14, time: 1.142, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0643, decode.acc_seg: 97.4299, aux.loss_ce: 0.0361, aux.acc_seg: 96.4887, loss: 0.1004 2023-02-24 14:54:21,604 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 1 day, 12:37:20, time: 1.190, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0696, decode.acc_seg: 97.2313, aux.loss_ce: 0.0377, aux.acc_seg: 96.3476, loss: 0.1073 2023-02-24 14:55:18,202 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:55:18,205 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 1 day, 12:36:19, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0679, decode.acc_seg: 97.2695, aux.loss_ce: 0.0366, aux.acc_seg: 96.4017, loss: 0.1045 2023-02-24 14:56:14,847 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 1 day, 12:35:19, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3600, aux.loss_ce: 0.0351, aux.acc_seg: 96.5361, loss: 0.1006 2023-02-24 14:57:11,527 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 1 day, 12:34:18, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0709, decode.acc_seg: 97.1967, aux.loss_ce: 0.0371, aux.acc_seg: 96.4034, loss: 0.1080 2023-02-24 14:58:12,105 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 1 day, 12:33:27, time: 1.212, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0660, decode.acc_seg: 97.3678, aux.loss_ce: 0.0368, aux.acc_seg: 96.4498, loss: 0.1028 2023-02-24 14:59:08,768 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 1 day, 12:32:27, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0689, decode.acc_seg: 97.2558, aux.loss_ce: 0.0378, aux.acc_seg: 96.3281, loss: 0.1067 2023-02-24 15:00:05,412 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 1 day, 12:31:26, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0676, decode.acc_seg: 97.3114, aux.loss_ce: 0.0362, aux.acc_seg: 96.4613, loss: 0.1038 2023-02-24 15:01:02,732 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 1 day, 12:30:27, time: 1.146, data_time: 0.025, memory: 27881, decode.loss_ce: 0.0670, decode.acc_seg: 97.2837, aux.loss_ce: 0.0362, aux.acc_seg: 96.4186, loss: 0.1032 2023-02-24 15:02:03,153 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 1 day, 12:29:36, time: 1.208, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0684, decode.acc_seg: 97.2711, aux.loss_ce: 0.0361, aux.acc_seg: 96.4535, loss: 0.1045 2023-02-24 15:02:59,843 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 1 day, 12:28:35, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0674, decode.acc_seg: 97.2955, aux.loss_ce: 0.0373, aux.acc_seg: 96.3527, loss: 0.1047 2023-02-24 15:03:56,484 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 1 day, 12:27:35, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0709, decode.acc_seg: 97.1964, aux.loss_ce: 0.0376, aux.acc_seg: 96.3712, loss: 0.1085 2023-02-24 15:04:53,064 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 1 day, 12:26:34, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0709, decode.acc_seg: 97.2017, aux.loss_ce: 0.0378, aux.acc_seg: 96.3231, loss: 0.1087 2023-02-24 15:05:53,378 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 1 day, 12:25:42, time: 1.206, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0695, decode.acc_seg: 97.2341, aux.loss_ce: 0.0378, aux.acc_seg: 96.2710, loss: 0.1073 2023-02-24 15:06:50,019 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 1 day, 12:24:42, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0688, decode.acc_seg: 97.2522, aux.loss_ce: 0.0370, aux.acc_seg: 96.3838, loss: 0.1059 2023-02-24 15:07:46,727 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 1 day, 12:23:41, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0678, decode.acc_seg: 97.2836, aux.loss_ce: 0.0372, aux.acc_seg: 96.3669, loss: 0.1050 2023-02-24 15:08:46,269 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 1 day, 12:22:48, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0649, decode.acc_seg: 97.4316, aux.loss_ce: 0.0369, aux.acc_seg: 96.4309, loss: 0.1017 2023-02-24 15:09:42,983 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 1 day, 12:21:47, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0657, decode.acc_seg: 97.3573, aux.loss_ce: 0.0370, aux.acc_seg: 96.3930, loss: 0.1027 2023-02-24 15:10:39,735 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 1 day, 12:20:47, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0686, decode.acc_seg: 97.2884, aux.loss_ce: 0.0372, aux.acc_seg: 96.4106, loss: 0.1058 2023-02-24 15:11:36,460 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 1 day, 12:19:46, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0686, decode.acc_seg: 97.2725, aux.loss_ce: 0.0368, aux.acc_seg: 96.4008, loss: 0.1054 2023-02-24 15:12:36,416 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 1 day, 12:18:54, time: 1.199, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0669, decode.acc_seg: 97.3054, aux.loss_ce: 0.0381, aux.acc_seg: 96.2530, loss: 0.1050 2023-02-24 15:13:32,993 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 1 day, 12:17:53, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0674, decode.acc_seg: 97.2976, aux.loss_ce: 0.0374, aux.acc_seg: 96.3129, loss: 0.1048 2023-02-24 15:14:29,558 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:14:29,558 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 1 day, 12:16:52, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0690, decode.acc_seg: 97.2632, aux.loss_ce: 0.0368, aux.acc_seg: 96.3967, loss: 0.1058 2023-02-24 15:15:26,260 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 1 day, 12:15:52, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0688, decode.acc_seg: 97.2536, aux.loss_ce: 0.0387, aux.acc_seg: 96.2644, loss: 0.1075 2023-02-24 15:16:26,017 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 1 day, 12:14:59, time: 1.195, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0673, decode.acc_seg: 97.3093, aux.loss_ce: 0.0374, aux.acc_seg: 96.3760, loss: 0.1047 2023-02-24 15:17:23,120 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 1 day, 12:13:59, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0667, decode.acc_seg: 97.3284, aux.loss_ce: 0.0380, aux.acc_seg: 96.2940, loss: 0.1047 2023-02-24 15:18:19,800 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 1 day, 12:12:59, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0668, decode.acc_seg: 97.3635, aux.loss_ce: 0.0371, aux.acc_seg: 96.4266, loss: 0.1039 2023-02-24 15:19:19,336 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 1 day, 12:12:05, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0686, decode.acc_seg: 97.2867, aux.loss_ce: 0.0389, aux.acc_seg: 96.2714, loss: 0.1075 2023-02-24 15:20:15,962 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 1 day, 12:11:05, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0658, decode.acc_seg: 97.3360, aux.loss_ce: 0.0358, aux.acc_seg: 96.4524, loss: 0.1016 2023-02-24 15:21:13,262 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 1 day, 12:10:06, time: 1.146, data_time: 0.025, memory: 27881, decode.loss_ce: 0.0685, decode.acc_seg: 97.2614, aux.loss_ce: 0.0379, aux.acc_seg: 96.3071, loss: 0.1065 2023-02-24 15:22:09,905 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 1 day, 12:09:05, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0681, decode.acc_seg: 97.2689, aux.loss_ce: 0.0365, aux.acc_seg: 96.4092, loss: 0.1047 2023-02-24 15:23:10,058 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 1 day, 12:08:13, time: 1.203, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0730, decode.acc_seg: 97.1355, aux.loss_ce: 0.0381, aux.acc_seg: 96.3212, loss: 0.1111 2023-02-24 15:24:06,749 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 1 day, 12:07:13, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0710, decode.acc_seg: 97.1827, aux.loss_ce: 0.0379, aux.acc_seg: 96.3153, loss: 0.1089 2023-02-24 15:25:03,444 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 1 day, 12:06:12, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0711, decode.acc_seg: 97.1691, aux.loss_ce: 0.0374, aux.acc_seg: 96.3659, loss: 0.1086 2023-02-24 15:26:00,112 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 1 day, 12:05:12, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0673, decode.acc_seg: 97.3170, aux.loss_ce: 0.0365, aux.acc_seg: 96.4359, loss: 0.1038 2023-02-24 15:27:01,110 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 1 day, 12:04:22, time: 1.220, data_time: 0.100, memory: 27881, decode.loss_ce: 0.0692, decode.acc_seg: 97.2347, aux.loss_ce: 0.0371, aux.acc_seg: 96.3843, loss: 0.1063 2023-02-24 15:27:58,188 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 1 day, 12:03:22, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0707, decode.acc_seg: 97.1692, aux.loss_ce: 0.0393, aux.acc_seg: 96.1391, loss: 0.1101 2023-02-24 15:28:54,763 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 1 day, 12:02:21, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0702, decode.acc_seg: 97.1928, aux.loss_ce: 0.0376, aux.acc_seg: 96.3327, loss: 0.1078 2023-02-24 15:29:51,461 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 1 day, 12:01:21, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0720, decode.acc_seg: 97.1691, aux.loss_ce: 0.0382, aux.acc_seg: 96.2868, loss: 0.1102 2023-02-24 15:30:51,909 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 1 day, 12:00:30, time: 1.209, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0736, decode.acc_seg: 97.0755, aux.loss_ce: 0.0392, aux.acc_seg: 96.1731, loss: 0.1128 2023-02-24 15:31:48,674 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 1 day, 11:59:29, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0682, decode.acc_seg: 97.3011, aux.loss_ce: 0.0374, aux.acc_seg: 96.3848, loss: 0.1056 2023-02-24 15:32:45,399 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 1 day, 11:58:29, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0688, decode.acc_seg: 97.2511, aux.loss_ce: 0.0368, aux.acc_seg: 96.4343, loss: 0.1055 2023-02-24 15:33:45,482 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-02-24 15:33:51,708 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:33:51,712 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 1 day, 11:57:51, time: 1.326, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0669, decode.acc_seg: 97.3270, aux.loss_ce: 0.0365, aux.acc_seg: 96.4289, loss: 0.1034 2023-02-24 15:34:58,596 - mmseg - INFO - per class results: 2023-02-24 15:34:58,608 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.43 | 99.11 | | sidewalk | 86.93 | 92.45 | | building | 93.44 | 96.34 | | wall | 62.49 | 68.15 | | fence | 66.03 | 76.68 | | pole | 71.05 | 85.14 | | traffic light | 73.0 | 90.89 | | traffic sign | 80.82 | 93.86 | | vegetation | 93.06 | 96.52 | | terrain | 67.4 | 78.46 | | sky | 94.2 | 99.22 | | person | 84.28 | 94.53 | | rider | 66.39 | 77.14 | | car | 96.14 | 98.37 | | truck | 87.61 | 92.99 | | bus | 91.78 | 95.64 | | train | 86.52 | 89.85 | | motorcycle | 71.91 | 80.95 | | bicycle | 80.29 | 93.27 | +---------------+-------+-------+ 2023-02-24 15:34:58,609 - mmseg - INFO - Summary: 2023-02-24 15:34:58,610 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 96.6 | 81.67 | 89.45 | +------+-------+-------+ 2023-02-24 15:34:58,629 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_32000.pth was removed 2023-02-24 15:35:01,555 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2023-02-24 15:35:01,800 - mmseg - INFO - Best mIoU is 0.8167 at 48000 iter. 2023-02-24 15:35:01,801 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:35:01,802 - mmseg - INFO - Iter(val) [125] aAcc: 0.9660, mIoU: 0.8167, mAcc: 0.8945, IoU.road: 0.9843, IoU.sidewalk: 0.8693, IoU.building: 0.9344, IoU.wall: 0.6249, IoU.fence: 0.6603, IoU.pole: 0.7105, IoU.traffic light: 0.7300, IoU.traffic sign: 0.8082, IoU.vegetation: 0.9306, IoU.terrain: 0.6740, IoU.sky: 0.9420, IoU.person: 0.8428, IoU.rider: 0.6639, IoU.car: 0.9614, IoU.truck: 0.8761, IoU.bus: 0.9178, IoU.train: 0.8652, IoU.motorcycle: 0.7191, IoU.bicycle: 0.8029, Acc.road: 0.9911, Acc.sidewalk: 0.9245, Acc.building: 0.9634, Acc.wall: 0.6815, Acc.fence: 0.7668, Acc.pole: 0.8514, Acc.traffic light: 0.9089, Acc.traffic sign: 0.9386, Acc.vegetation: 0.9652, Acc.terrain: 0.7846, Acc.sky: 0.9922, Acc.person: 0.9453, Acc.rider: 0.7714, Acc.car: 0.9837, Acc.truck: 0.9299, Acc.bus: 0.9564, Acc.train: 0.8985, Acc.motorcycle: 0.8095, Acc.bicycle: 0.9327 2023-02-24 15:35:58,593 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 1 day, 11:59:34, time: 2.538, data_time: 1.414, memory: 27881, decode.loss_ce: 0.0698, decode.acc_seg: 97.2040, aux.loss_ce: 0.0386, aux.acc_seg: 96.2093, loss: 0.1084 2023-02-24 15:36:55,451 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 1 day, 11:58:34, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0646, decode.acc_seg: 97.4301, aux.loss_ce: 0.0361, aux.acc_seg: 96.4929, loss: 0.1007 2023-02-24 15:37:52,250 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 1 day, 11:57:34, time: 1.136, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0673, decode.acc_seg: 97.3188, aux.loss_ce: 0.0364, aux.acc_seg: 96.4388, loss: 0.1038 2023-02-24 15:38:52,343 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 1 day, 11:56:41, time: 1.202, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0700, decode.acc_seg: 97.2003, aux.loss_ce: 0.0374, aux.acc_seg: 96.3391, loss: 0.1074 2023-02-24 15:39:49,152 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 1 day, 11:55:41, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0702, decode.acc_seg: 97.2180, aux.loss_ce: 0.0379, aux.acc_seg: 96.3251, loss: 0.1082 2023-02-24 15:40:46,001 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 1 day, 11:54:40, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0711, decode.acc_seg: 97.1592, aux.loss_ce: 0.0376, aux.acc_seg: 96.3413, loss: 0.1087 2023-02-24 15:41:42,722 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 1 day, 11:53:40, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0672, decode.acc_seg: 97.3181, aux.loss_ce: 0.0372, aux.acc_seg: 96.4064, loss: 0.1043 2023-02-24 15:42:43,367 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 1 day, 11:52:48, time: 1.213, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0652, decode.acc_seg: 97.4010, aux.loss_ce: 0.0361, aux.acc_seg: 96.4908, loss: 0.1013 2023-02-24 15:43:39,984 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 1 day, 11:51:48, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0658, decode.acc_seg: 97.3760, aux.loss_ce: 0.0366, aux.acc_seg: 96.4275, loss: 0.1024 2023-02-24 15:44:36,717 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 1 day, 11:50:47, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0714, decode.acc_seg: 97.1787, aux.loss_ce: 0.0379, aux.acc_seg: 96.3554, loss: 0.1092 2023-02-24 15:45:37,422 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 1 day, 11:49:56, time: 1.214, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0705, decode.acc_seg: 97.1912, aux.loss_ce: 0.0378, aux.acc_seg: 96.3425, loss: 0.1083 2023-02-24 15:46:34,154 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 1 day, 11:48:55, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0700, decode.acc_seg: 97.2113, aux.loss_ce: 0.0379, aux.acc_seg: 96.3083, loss: 0.1079 2023-02-24 15:47:30,837 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 1 day, 11:47:55, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0679, decode.acc_seg: 97.2854, aux.loss_ce: 0.0362, aux.acc_seg: 96.4652, loss: 0.1040 2023-02-24 15:48:27,571 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 1 day, 11:46:54, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0681, decode.acc_seg: 97.2935, aux.loss_ce: 0.0362, aux.acc_seg: 96.4640, loss: 0.1043 2023-02-24 15:49:27,808 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 1 day, 11:46:02, time: 1.205, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3843, aux.loss_ce: 0.0360, aux.acc_seg: 96.4819, loss: 0.1015 2023-02-24 15:50:24,556 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 1 day, 11:45:01, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0665, decode.acc_seg: 97.3244, aux.loss_ce: 0.0369, aux.acc_seg: 96.4003, loss: 0.1034 2023-02-24 15:51:21,288 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 1 day, 11:44:01, time: 1.135, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0667, decode.acc_seg: 97.3278, aux.loss_ce: 0.0367, aux.acc_seg: 96.4068, loss: 0.1034 2023-02-24 15:52:18,032 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 1 day, 11:43:01, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0666, decode.acc_seg: 97.3104, aux.loss_ce: 0.0363, aux.acc_seg: 96.4114, loss: 0.1030 2023-02-24 15:53:17,810 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 1 day, 11:42:07, time: 1.196, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0677, decode.acc_seg: 97.2951, aux.loss_ce: 0.0355, aux.acc_seg: 96.5447, loss: 0.1032 2023-02-24 15:54:14,527 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:54:14,527 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 1 day, 11:41:06, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0662, decode.acc_seg: 97.3563, aux.loss_ce: 0.0355, aux.acc_seg: 96.5393, loss: 0.1017 2023-02-24 15:55:11,197 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 1 day, 11:40:06, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0681, decode.acc_seg: 97.3073, aux.loss_ce: 0.0371, aux.acc_seg: 96.4110, loss: 0.1052 2023-02-24 15:56:07,862 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 1 day, 11:39:05, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0665, decode.acc_seg: 97.3261, aux.loss_ce: 0.0366, aux.acc_seg: 96.4018, loss: 0.1031 2023-02-24 15:57:07,536 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 1 day, 11:38:12, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0663, decode.acc_seg: 97.3344, aux.loss_ce: 0.0361, aux.acc_seg: 96.4546, loss: 0.1024 2023-02-24 15:58:04,204 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 1 day, 11:37:11, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0675, decode.acc_seg: 97.2820, aux.loss_ce: 0.0361, aux.acc_seg: 96.4748, loss: 0.1036 2023-02-24 15:59:00,939 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 1 day, 11:36:11, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0661, decode.acc_seg: 97.3562, aux.loss_ce: 0.0364, aux.acc_seg: 96.4530, loss: 0.1025 2023-02-24 16:00:00,628 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 1 day, 11:35:17, time: 1.194, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0682, decode.acc_seg: 97.2708, aux.loss_ce: 0.0366, aux.acc_seg: 96.4362, loss: 0.1047 2023-02-24 16:00:57,352 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 1 day, 11:34:16, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0676, decode.acc_seg: 97.3182, aux.loss_ce: 0.0361, aux.acc_seg: 96.4782, loss: 0.1037 2023-02-24 16:01:54,071 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 1 day, 11:33:16, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.4535, aux.loss_ce: 0.0342, aux.acc_seg: 96.5982, loss: 0.0967 2023-02-24 16:02:50,867 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 1 day, 11:32:16, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0656, decode.acc_seg: 97.3488, aux.loss_ce: 0.0349, aux.acc_seg: 96.5364, loss: 0.1006 2023-02-24 16:03:50,573 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 1 day, 11:31:22, time: 1.194, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0679, decode.acc_seg: 97.2682, aux.loss_ce: 0.0358, aux.acc_seg: 96.5101, loss: 0.1038 2023-02-24 16:04:47,351 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 1 day, 11:30:22, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0680, decode.acc_seg: 97.2824, aux.loss_ce: 0.0358, aux.acc_seg: 96.5094, loss: 0.1039 2023-02-24 16:05:44,282 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 1 day, 11:29:22, time: 1.139, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0682, decode.acc_seg: 97.3033, aux.loss_ce: 0.0384, aux.acc_seg: 96.2841, loss: 0.1066 2023-02-24 16:06:41,010 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 1 day, 11:28:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0697, decode.acc_seg: 97.2274, aux.loss_ce: 0.0384, aux.acc_seg: 96.2931, loss: 0.1080 2023-02-24 16:07:41,500 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 1 day, 11:27:29, time: 1.210, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0690, decode.acc_seg: 97.2541, aux.loss_ce: 0.0366, aux.acc_seg: 96.4549, loss: 0.1056 2023-02-24 16:08:38,194 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 1 day, 11:26:29, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0643, decode.acc_seg: 97.4016, aux.loss_ce: 0.0361, aux.acc_seg: 96.4416, loss: 0.1005 2023-02-24 16:09:34,959 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 1 day, 11:25:29, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0672, decode.acc_seg: 97.3332, aux.loss_ce: 0.0379, aux.acc_seg: 96.3617, loss: 0.1051 2023-02-24 16:10:35,320 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 1 day, 11:24:36, time: 1.207, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0693, decode.acc_seg: 97.2402, aux.loss_ce: 0.0373, aux.acc_seg: 96.3608, loss: 0.1066 2023-02-24 16:11:32,106 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 1 day, 11:23:36, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0646, decode.acc_seg: 97.3787, aux.loss_ce: 0.0352, aux.acc_seg: 96.5248, loss: 0.0998 2023-02-24 16:12:29,130 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 1 day, 11:22:36, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.4360, aux.loss_ce: 0.0349, aux.acc_seg: 96.5879, loss: 0.0989 2023-02-24 16:13:25,723 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:13:25,724 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 1 day, 11:21:36, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0691, decode.acc_seg: 97.2588, aux.loss_ce: 0.0377, aux.acc_seg: 96.3721, loss: 0.1068 2023-02-24 16:14:26,352 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 1 day, 11:20:44, time: 1.212, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0741, decode.acc_seg: 97.0608, aux.loss_ce: 0.0390, aux.acc_seg: 96.2066, loss: 0.1130 2023-02-24 16:15:23,010 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 1 day, 11:19:43, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0721, decode.acc_seg: 97.1272, aux.loss_ce: 0.0367, aux.acc_seg: 96.4352, loss: 0.1088 2023-02-24 16:16:19,672 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 1 day, 11:18:43, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3828, aux.loss_ce: 0.0365, aux.acc_seg: 96.4223, loss: 0.1020 2023-02-24 16:17:16,375 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 1 day, 11:17:42, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0689, decode.acc_seg: 97.2327, aux.loss_ce: 0.0372, aux.acc_seg: 96.4027, loss: 0.1061 2023-02-24 16:18:16,910 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 1 day, 11:16:50, time: 1.211, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.4314, aux.loss_ce: 0.0353, aux.acc_seg: 96.5669, loss: 0.0992 2023-02-24 16:19:13,501 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 1 day, 11:15:50, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0639, decode.acc_seg: 97.4360, aux.loss_ce: 0.0354, aux.acc_seg: 96.5206, loss: 0.0993 2023-02-24 16:20:10,143 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 1 day, 11:14:49, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0662, decode.acc_seg: 97.3263, aux.loss_ce: 0.0363, aux.acc_seg: 96.4682, loss: 0.1025 2023-02-24 16:21:06,744 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 1 day, 11:13:49, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0684, decode.acc_seg: 97.2695, aux.loss_ce: 0.0366, aux.acc_seg: 96.4552, loss: 0.1049 2023-02-24 16:22:06,446 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 1 day, 11:12:55, time: 1.194, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0664, decode.acc_seg: 97.3408, aux.loss_ce: 0.0368, aux.acc_seg: 96.3999, loss: 0.1032 2023-02-24 16:23:03,104 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 1 day, 11:11:54, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0645, decode.acc_seg: 97.4236, aux.loss_ce: 0.0363, aux.acc_seg: 96.5007, loss: 0.1008 2023-02-24 16:23:59,779 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 1 day, 11:10:54, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0668, decode.acc_seg: 97.3261, aux.loss_ce: 0.0366, aux.acc_seg: 96.4221, loss: 0.1035 2023-02-24 16:24:59,282 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 1 day, 11:09:59, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0661, decode.acc_seg: 97.3678, aux.loss_ce: 0.0359, aux.acc_seg: 96.4968, loss: 0.1021 2023-02-24 16:25:56,028 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 1 day, 11:08:59, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0683, decode.acc_seg: 97.2477, aux.loss_ce: 0.0377, aux.acc_seg: 96.3262, loss: 0.1060 2023-02-24 16:26:52,673 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 1 day, 11:07:59, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0677, decode.acc_seg: 97.2815, aux.loss_ce: 0.0385, aux.acc_seg: 96.3403, loss: 0.1062 2023-02-24 16:27:49,745 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 1 day, 11:06:59, time: 1.141, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0652, decode.acc_seg: 97.4181, aux.loss_ce: 0.0356, aux.acc_seg: 96.5750, loss: 0.1007 2023-02-24 16:28:49,310 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 1 day, 11:06:05, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0647, decode.acc_seg: 97.3892, aux.loss_ce: 0.0358, aux.acc_seg: 96.4781, loss: 0.1005 2023-02-24 16:29:45,953 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 1 day, 11:05:05, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0705, decode.acc_seg: 97.1958, aux.loss_ce: 0.0373, aux.acc_seg: 96.3581, loss: 0.1078 2023-02-24 16:30:42,546 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 1 day, 11:04:04, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0664, decode.acc_seg: 97.3452, aux.loss_ce: 0.0349, aux.acc_seg: 96.5731, loss: 0.1014 2023-02-24 16:31:40,034 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 1 day, 11:03:05, time: 1.150, data_time: 0.028, memory: 27881, decode.loss_ce: 0.0683, decode.acc_seg: 97.2924, aux.loss_ce: 0.0367, aux.acc_seg: 96.4232, loss: 0.1051 2023-02-24 16:32:39,863 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:32:39,864 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 1 day, 11:02:12, time: 1.197, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3875, aux.loss_ce: 0.0354, aux.acc_seg: 96.5495, loss: 0.1010 2023-02-24 16:33:36,539 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 1 day, 11:01:11, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0632, decode.acc_seg: 97.4645, aux.loss_ce: 0.0349, aux.acc_seg: 96.5630, loss: 0.0982 2023-02-24 16:34:33,251 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 1 day, 11:00:11, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0672, decode.acc_seg: 97.3239, aux.loss_ce: 0.0371, aux.acc_seg: 96.3988, loss: 0.1042 2023-02-24 16:35:30,226 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 1 day, 10:59:11, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0668, decode.acc_seg: 97.3311, aux.loss_ce: 0.0362, aux.acc_seg: 96.4908, loss: 0.1029 2023-02-24 16:36:30,800 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 1 day, 10:58:19, time: 1.212, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0665, decode.acc_seg: 97.3400, aux.loss_ce: 0.0357, aux.acc_seg: 96.5224, loss: 0.1021 2023-02-24 16:37:27,479 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 1 day, 10:57:19, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0660, decode.acc_seg: 97.3460, aux.loss_ce: 0.0353, aux.acc_seg: 96.5420, loss: 0.1013 2023-02-24 16:38:24,108 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 1 day, 10:56:18, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0685, decode.acc_seg: 97.2927, aux.loss_ce: 0.0385, aux.acc_seg: 96.3092, loss: 0.1069 2023-02-24 16:39:24,710 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 1 day, 10:55:26, time: 1.212, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0709, decode.acc_seg: 97.2276, aux.loss_ce: 0.0370, aux.acc_seg: 96.4137, loss: 0.1079 2023-02-24 16:40:21,356 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 1 day, 10:54:26, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0704, decode.acc_seg: 97.1892, aux.loss_ce: 0.0378, aux.acc_seg: 96.3002, loss: 0.1083 2023-02-24 16:41:18,037 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 1 day, 10:53:26, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4812, aux.loss_ce: 0.0355, aux.acc_seg: 96.5158, loss: 0.0982 2023-02-24 16:42:15,144 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 1 day, 10:52:26, time: 1.142, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0657, decode.acc_seg: 97.3556, aux.loss_ce: 0.0352, aux.acc_seg: 96.5263, loss: 0.1010 2023-02-24 16:43:16,167 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 1 day, 10:51:35, time: 1.220, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0665, decode.acc_seg: 97.3298, aux.loss_ce: 0.0363, aux.acc_seg: 96.4444, loss: 0.1027 2023-02-24 16:44:12,797 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 1 day, 10:50:34, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0687, decode.acc_seg: 97.2469, aux.loss_ce: 0.0364, aux.acc_seg: 96.4286, loss: 0.1051 2023-02-24 16:45:09,525 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 1 day, 10:49:34, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4656, aux.loss_ce: 0.0339, aux.acc_seg: 96.6453, loss: 0.0964 2023-02-24 16:46:06,167 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 1 day, 10:48:34, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0653, decode.acc_seg: 97.3819, aux.loss_ce: 0.0359, aux.acc_seg: 96.4973, loss: 0.1012 2023-02-24 16:47:06,754 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 1 day, 10:47:42, time: 1.212, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0677, decode.acc_seg: 97.2891, aux.loss_ce: 0.0358, aux.acc_seg: 96.4994, loss: 0.1035 2023-02-24 16:48:03,583 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 1 day, 10:46:42, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0669, decode.acc_seg: 97.3221, aux.loss_ce: 0.0370, aux.acc_seg: 96.3630, loss: 0.1040 2023-02-24 16:49:00,676 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 1 day, 10:45:42, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5437, aux.loss_ce: 0.0356, aux.acc_seg: 96.5466, loss: 0.0973 2023-02-24 16:50:01,148 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 1 day, 10:44:50, time: 1.210, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0651, decode.acc_seg: 97.3801, aux.loss_ce: 0.0346, aux.acc_seg: 96.6121, loss: 0.0997 2023-02-24 16:50:57,809 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 1 day, 10:43:49, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0637, decode.acc_seg: 97.4407, aux.loss_ce: 0.0356, aux.acc_seg: 96.5213, loss: 0.0993 2023-02-24 16:51:54,617 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:51:54,618 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 1 day, 10:42:49, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4397, aux.loss_ce: 0.0346, aux.acc_seg: 96.6032, loss: 0.0988 2023-02-24 16:52:51,376 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 1 day, 10:41:49, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0654, decode.acc_seg: 97.3697, aux.loss_ce: 0.0355, aux.acc_seg: 96.5326, loss: 0.1010 2023-02-24 16:53:51,028 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 1 day, 10:40:55, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0662, decode.acc_seg: 97.3626, aux.loss_ce: 0.0361, aux.acc_seg: 96.4602, loss: 0.1023 2023-02-24 16:54:47,635 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 1 day, 10:39:55, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.4286, aux.loss_ce: 0.0354, aux.acc_seg: 96.5317, loss: 0.0994 2023-02-24 16:55:44,223 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 1 day, 10:38:54, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0651, decode.acc_seg: 97.3799, aux.loss_ce: 0.0347, aux.acc_seg: 96.5858, loss: 0.0998 2023-02-24 16:56:40,983 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 1 day, 10:37:54, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0676, decode.acc_seg: 97.2976, aux.loss_ce: 0.0368, aux.acc_seg: 96.4136, loss: 0.1045 2023-02-24 16:57:40,757 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 1 day, 10:37:00, time: 1.195, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0672, decode.acc_seg: 97.3178, aux.loss_ce: 0.0359, aux.acc_seg: 96.4961, loss: 0.1032 2023-02-24 16:58:37,469 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 1 day, 10:36:00, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4333, aux.loss_ce: 0.0355, aux.acc_seg: 96.5376, loss: 0.0997 2023-02-24 16:59:34,057 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 1 day, 10:35:00, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0631, decode.acc_seg: 97.4566, aux.loss_ce: 0.0352, aux.acc_seg: 96.5477, loss: 0.0983 2023-02-24 17:00:31,008 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 1 day, 10:34:00, time: 1.139, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.4707, aux.loss_ce: 0.0349, aux.acc_seg: 96.5630, loss: 0.0975 2023-02-24 17:01:30,669 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 1 day, 10:33:06, time: 1.193, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0658, decode.acc_seg: 97.3517, aux.loss_ce: 0.0350, aux.acc_seg: 96.5638, loss: 0.1008 2023-02-24 17:02:27,262 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 1 day, 10:32:05, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0630, decode.acc_seg: 97.4779, aux.loss_ce: 0.0344, aux.acc_seg: 96.6807, loss: 0.0974 2023-02-24 17:03:23,962 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 1 day, 10:31:05, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0672, decode.acc_seg: 97.3069, aux.loss_ce: 0.0368, aux.acc_seg: 96.4184, loss: 0.1039 2023-02-24 17:04:24,400 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 1 day, 10:30:12, time: 1.209, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0632, decode.acc_seg: 97.4420, aux.loss_ce: 0.0344, aux.acc_seg: 96.5978, loss: 0.0976 2023-02-24 17:05:21,206 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 1 day, 10:29:13, time: 1.136, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0680, decode.acc_seg: 97.2646, aux.loss_ce: 0.0367, aux.acc_seg: 96.4009, loss: 0.1048 2023-02-24 17:06:17,944 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 1 day, 10:28:12, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.4292, aux.loss_ce: 0.0340, aux.acc_seg: 96.6514, loss: 0.0980 2023-02-24 17:07:14,591 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 1 day, 10:27:12, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0664, decode.acc_seg: 97.3305, aux.loss_ce: 0.0362, aux.acc_seg: 96.4113, loss: 0.1026 2023-02-24 17:08:15,356 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 1 day, 10:26:20, time: 1.215, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0692, decode.acc_seg: 97.2334, aux.loss_ce: 0.0371, aux.acc_seg: 96.3859, loss: 0.1062 2023-02-24 17:09:12,102 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 1 day, 10:25:20, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0674, decode.acc_seg: 97.3168, aux.loss_ce: 0.0357, aux.acc_seg: 96.5151, loss: 0.1031 2023-02-24 17:10:08,773 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 1 day, 10:24:20, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0646, decode.acc_seg: 97.4186, aux.loss_ce: 0.0357, aux.acc_seg: 96.4862, loss: 0.1003 2023-02-24 17:11:05,400 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:11:05,405 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 1 day, 10:23:19, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0666, decode.acc_seg: 97.3241, aux.loss_ce: 0.0350, aux.acc_seg: 96.5571, loss: 0.1016 2023-02-24 17:12:06,050 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 1 day, 10:22:27, time: 1.213, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0622, decode.acc_seg: 97.4721, aux.loss_ce: 0.0349, aux.acc_seg: 96.5707, loss: 0.0971 2023-02-24 17:13:02,831 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 1 day, 10:21:27, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0684, decode.acc_seg: 97.2751, aux.loss_ce: 0.0363, aux.acc_seg: 96.4599, loss: 0.1048 2023-02-24 17:13:59,463 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 1 day, 10:20:27, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3516, aux.loss_ce: 0.0361, aux.acc_seg: 96.4429, loss: 0.1016 2023-02-24 17:15:00,290 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 1 day, 10:19:35, time: 1.216, data_time: 0.094, memory: 27881, decode.loss_ce: 0.0670, decode.acc_seg: 97.3013, aux.loss_ce: 0.0357, aux.acc_seg: 96.5063, loss: 0.1028 2023-02-24 17:15:56,914 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 1 day, 10:18:35, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0661, decode.acc_seg: 97.3234, aux.loss_ce: 0.0378, aux.acc_seg: 96.3304, loss: 0.1039 2023-02-24 17:16:53,561 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 1 day, 10:17:34, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3630, aux.loss_ce: 0.0363, aux.acc_seg: 96.4458, loss: 0.1019 2023-02-24 17:17:50,239 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 1 day, 10:16:34, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4793, aux.loss_ce: 0.0346, aux.acc_seg: 96.6079, loss: 0.0971 2023-02-24 17:18:50,504 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 1 day, 10:15:41, time: 1.205, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0666, decode.acc_seg: 97.3254, aux.loss_ce: 0.0357, aux.acc_seg: 96.5040, loss: 0.1023 2023-02-24 17:19:47,140 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 1 day, 10:14:41, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0622, decode.acc_seg: 97.4884, aux.loss_ce: 0.0358, aux.acc_seg: 96.5001, loss: 0.0980 2023-02-24 17:20:43,765 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 1 day, 10:13:41, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4169, aux.loss_ce: 0.0366, aux.acc_seg: 96.4156, loss: 0.1008 2023-02-24 17:21:40,485 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 1 day, 10:12:41, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4942, aux.loss_ce: 0.0345, aux.acc_seg: 96.6517, loss: 0.0969 2023-02-24 17:22:39,929 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 1 day, 10:11:46, time: 1.189, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0621, decode.acc_seg: 97.5121, aux.loss_ce: 0.0347, aux.acc_seg: 96.6035, loss: 0.0968 2023-02-24 17:23:36,615 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 1 day, 10:10:46, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0660, decode.acc_seg: 97.3643, aux.loss_ce: 0.0358, aux.acc_seg: 96.4982, loss: 0.1018 2023-02-24 17:24:33,258 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 1 day, 10:09:45, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0652, decode.acc_seg: 97.3947, aux.loss_ce: 0.0359, aux.acc_seg: 96.4881, loss: 0.1011 2023-02-24 17:25:29,941 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 1 day, 10:08:45, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0643, decode.acc_seg: 97.3917, aux.loss_ce: 0.0358, aux.acc_seg: 96.5084, loss: 0.1001 2023-02-24 17:26:29,683 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 1 day, 10:07:51, time: 1.195, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0647, decode.acc_seg: 97.3977, aux.loss_ce: 0.0365, aux.acc_seg: 96.4147, loss: 0.1011 2023-02-24 17:27:26,760 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 1 day, 10:06:52, time: 1.141, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0644, decode.acc_seg: 97.3829, aux.loss_ce: 0.0363, aux.acc_seg: 96.4385, loss: 0.1008 2023-02-24 17:28:23,408 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 1 day, 10:05:52, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0677, decode.acc_seg: 97.2722, aux.loss_ce: 0.0371, aux.acc_seg: 96.3615, loss: 0.1048 2023-02-24 17:29:22,981 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 1 day, 10:04:57, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0614, decode.acc_seg: 97.5361, aux.loss_ce: 0.0346, aux.acc_seg: 96.5924, loss: 0.0961 2023-02-24 17:30:19,615 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:30:19,616 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 1 day, 10:03:57, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0647, decode.acc_seg: 97.3901, aux.loss_ce: 0.0371, aux.acc_seg: 96.3417, loss: 0.1018 2023-02-24 17:31:16,647 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 1 day, 10:02:57, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4013, aux.loss_ce: 0.0359, aux.acc_seg: 96.4570, loss: 0.1000 2023-02-24 17:32:13,354 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 1 day, 10:01:57, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0645, decode.acc_seg: 97.4035, aux.loss_ce: 0.0356, aux.acc_seg: 96.5236, loss: 0.1001 2023-02-24 17:33:13,369 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 1 day, 10:01:04, time: 1.200, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0614, decode.acc_seg: 97.5190, aux.loss_ce: 0.0346, aux.acc_seg: 96.5994, loss: 0.0960 2023-02-24 17:34:10,074 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 1 day, 10:00:04, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0648, decode.acc_seg: 97.3983, aux.loss_ce: 0.0354, aux.acc_seg: 96.5297, loss: 0.1002 2023-02-24 17:35:06,706 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 1 day, 9:59:04, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.4465, aux.loss_ce: 0.0346, aux.acc_seg: 96.5578, loss: 0.0973 2023-02-24 17:36:03,392 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 1 day, 9:58:03, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4291, aux.loss_ce: 0.0362, aux.acc_seg: 96.4863, loss: 0.1004 2023-02-24 17:37:03,682 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 1 day, 9:57:10, time: 1.206, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0633, decode.acc_seg: 97.4463, aux.loss_ce: 0.0342, aux.acc_seg: 96.6452, loss: 0.0975 2023-02-24 17:38:00,466 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 1 day, 9:56:10, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0653, decode.acc_seg: 97.3625, aux.loss_ce: 0.0360, aux.acc_seg: 96.4617, loss: 0.1013 2023-02-24 17:38:57,225 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 1 day, 9:55:10, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4690, aux.loss_ce: 0.0339, aux.acc_seg: 96.6668, loss: 0.0967 2023-02-24 17:39:56,848 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 1 day, 9:54:16, time: 1.192, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0662, decode.acc_seg: 97.3269, aux.loss_ce: 0.0352, aux.acc_seg: 96.5493, loss: 0.1014 2023-02-24 17:40:53,559 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 1 day, 9:53:16, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0653, decode.acc_seg: 97.3722, aux.loss_ce: 0.0374, aux.acc_seg: 96.4070, loss: 0.1027 2023-02-24 17:41:50,188 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 1 day, 9:52:16, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4973, aux.loss_ce: 0.0358, aux.acc_seg: 96.5053, loss: 0.0982 2023-02-24 17:42:46,963 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 1 day, 9:51:16, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.4633, aux.loss_ce: 0.0347, aux.acc_seg: 96.5800, loss: 0.0973 2023-02-24 17:43:46,622 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 1 day, 9:50:22, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0648, decode.acc_seg: 97.4200, aux.loss_ce: 0.0349, aux.acc_seg: 96.5741, loss: 0.0998 2023-02-24 17:44:43,335 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 1 day, 9:49:22, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0658, decode.acc_seg: 97.3254, aux.loss_ce: 0.0352, aux.acc_seg: 96.5086, loss: 0.1010 2023-02-24 17:45:40,106 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 1 day, 9:48:22, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0645, decode.acc_seg: 97.3942, aux.loss_ce: 0.0357, aux.acc_seg: 96.4534, loss: 0.1002 2023-02-24 17:46:37,119 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 1 day, 9:47:22, time: 1.140, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0654, decode.acc_seg: 97.3684, aux.loss_ce: 0.0357, aux.acc_seg: 96.5447, loss: 0.1011 2023-02-24 17:47:36,911 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 1 day, 9:46:28, time: 1.196, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4088, aux.loss_ce: 0.0342, aux.acc_seg: 96.6427, loss: 0.0984 2023-02-24 17:48:33,599 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 1 day, 9:45:28, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3726, aux.loss_ce: 0.0357, aux.acc_seg: 96.5210, loss: 0.1012 2023-02-24 17:49:30,321 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:49:30,463 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 1 day, 9:44:28, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0647, decode.acc_seg: 97.3896, aux.loss_ce: 0.0346, aux.acc_seg: 96.5745, loss: 0.0994 2023-02-24 17:50:27,248 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 1 day, 9:43:28, time: 1.139, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0635, decode.acc_seg: 97.4409, aux.loss_ce: 0.0337, aux.acc_seg: 96.6684, loss: 0.0972 2023-02-24 17:51:27,117 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 1 day, 9:42:34, time: 1.197, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0673, decode.acc_seg: 97.2852, aux.loss_ce: 0.0372, aux.acc_seg: 96.3315, loss: 0.1045 2023-02-24 17:52:23,993 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 1 day, 9:41:35, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0696, decode.acc_seg: 97.2186, aux.loss_ce: 0.0357, aux.acc_seg: 96.4853, loss: 0.1053 2023-02-24 17:53:20,701 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 1 day, 9:40:35, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0618, decode.acc_seg: 97.5092, aux.loss_ce: 0.0349, aux.acc_seg: 96.5594, loss: 0.0967 2023-02-24 17:54:20,853 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 1 day, 9:39:41, time: 1.203, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4706, aux.loss_ce: 0.0351, aux.acc_seg: 96.5312, loss: 0.0977 2023-02-24 17:55:17,764 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 1 day, 9:38:42, time: 1.138, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5615, aux.loss_ce: 0.0344, aux.acc_seg: 96.6321, loss: 0.0952 2023-02-24 17:56:14,446 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 1 day, 9:37:42, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5022, aux.loss_ce: 0.0337, aux.acc_seg: 96.6751, loss: 0.0953 2023-02-24 17:57:11,168 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 1 day, 9:36:42, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0707, decode.acc_seg: 97.1671, aux.loss_ce: 0.0369, aux.acc_seg: 96.4077, loss: 0.1076 2023-02-24 17:58:12,143 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 1 day, 9:35:50, time: 1.220, data_time: 0.100, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.2535, aux.loss_ce: 0.0374, aux.acc_seg: 96.3780, loss: 0.1098 2023-02-24 17:59:08,900 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 1 day, 9:34:50, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0629, decode.acc_seg: 97.4804, aux.loss_ce: 0.0351, aux.acc_seg: 96.5554, loss: 0.0980 2023-02-24 18:00:05,756 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 1 day, 9:33:50, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0638, decode.acc_seg: 97.4273, aux.loss_ce: 0.0350, aux.acc_seg: 96.5330, loss: 0.0989 2023-02-24 18:01:02,499 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 1 day, 9:32:50, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4770, aux.loss_ce: 0.0342, aux.acc_seg: 96.6281, loss: 0.0967 2023-02-24 18:02:02,573 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 1 day, 9:31:57, time: 1.201, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0630, decode.acc_seg: 97.4707, aux.loss_ce: 0.0348, aux.acc_seg: 96.5828, loss: 0.0978 2023-02-24 18:02:59,251 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 1 day, 9:30:57, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0636, decode.acc_seg: 97.4232, aux.loss_ce: 0.0341, aux.acc_seg: 96.6221, loss: 0.0977 2023-02-24 18:03:56,018 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 1 day, 9:29:57, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0658, decode.acc_seg: 97.3518, aux.loss_ce: 0.0355, aux.acc_seg: 96.5048, loss: 0.1012 2023-02-24 18:04:52,715 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 1 day, 9:28:57, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0644, decode.acc_seg: 97.4255, aux.loss_ce: 0.0352, aux.acc_seg: 96.5684, loss: 0.0995 2023-02-24 18:05:53,492 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 1 day, 9:28:04, time: 1.215, data_time: 0.094, memory: 27881, decode.loss_ce: 0.0707, decode.acc_seg: 97.2410, aux.loss_ce: 0.0380, aux.acc_seg: 96.3356, loss: 0.1087 2023-02-24 18:06:50,365 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 1 day, 9:27:05, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0609, decode.acc_seg: 97.5401, aux.loss_ce: 0.0345, aux.acc_seg: 96.5803, loss: 0.0954 2023-02-24 18:07:47,401 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 1 day, 9:26:05, time: 1.141, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0610, decode.acc_seg: 97.5095, aux.loss_ce: 0.0346, aux.acc_seg: 96.5610, loss: 0.0955 2023-02-24 18:08:47,668 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:08:47,671 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 1 day, 9:25:12, time: 1.205, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0646, decode.acc_seg: 97.4098, aux.loss_ce: 0.0346, aux.acc_seg: 96.5812, loss: 0.0992 2023-02-24 18:09:44,395 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 1 day, 9:24:12, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0655, decode.acc_seg: 97.3902, aux.loss_ce: 0.0344, aux.acc_seg: 96.6414, loss: 0.0999 2023-02-24 18:10:41,040 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 1 day, 9:23:12, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0630, decode.acc_seg: 97.4476, aux.loss_ce: 0.0348, aux.acc_seg: 96.5522, loss: 0.0978 2023-02-24 18:11:37,793 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 1 day, 9:22:12, time: 1.135, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0682, decode.acc_seg: 97.2254, aux.loss_ce: 0.0355, aux.acc_seg: 96.5117, loss: 0.1037 2023-02-24 18:12:37,985 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 1 day, 9:21:19, time: 1.204, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0701, decode.acc_seg: 97.2352, aux.loss_ce: 0.0370, aux.acc_seg: 96.4039, loss: 0.1070 2023-02-24 18:13:34,591 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 1 day, 9:20:19, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0649, decode.acc_seg: 97.3773, aux.loss_ce: 0.0350, aux.acc_seg: 96.5591, loss: 0.0999 2023-02-24 18:14:31,196 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 1 day, 9:19:19, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0592, decode.acc_seg: 97.6238, aux.loss_ce: 0.0333, aux.acc_seg: 96.7391, loss: 0.0925 2023-02-24 18:15:27,930 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 1 day, 9:18:19, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.4176, aux.loss_ce: 0.0338, aux.acc_seg: 96.6910, loss: 0.0979 2023-02-24 18:16:27,409 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 1 day, 9:17:24, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0651, decode.acc_seg: 97.3942, aux.loss_ce: 0.0341, aux.acc_seg: 96.6442, loss: 0.0992 2023-02-24 18:17:24,084 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 1 day, 9:16:24, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5184, aux.loss_ce: 0.0338, aux.acc_seg: 96.6717, loss: 0.0954 2023-02-24 18:18:20,702 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 1 day, 9:15:24, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0627, decode.acc_seg: 97.4686, aux.loss_ce: 0.0349, aux.acc_seg: 96.5768, loss: 0.0976 2023-02-24 18:19:20,909 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 1 day, 9:14:30, time: 1.204, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.5250, aux.loss_ce: 0.0342, aux.acc_seg: 96.6619, loss: 0.0959 2023-02-24 18:20:17,807 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 1 day, 9:13:31, time: 1.138, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0657, decode.acc_seg: 97.3599, aux.loss_ce: 0.0347, aux.acc_seg: 96.5946, loss: 0.1003 2023-02-24 18:21:14,406 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 1 day, 9:12:31, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0677, decode.acc_seg: 97.2852, aux.loss_ce: 0.0359, aux.acc_seg: 96.4788, loss: 0.1036 2023-02-24 18:22:11,028 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 1 day, 9:11:31, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0630, decode.acc_seg: 97.4632, aux.loss_ce: 0.0344, aux.acc_seg: 96.6029, loss: 0.0974 2023-02-24 18:23:10,972 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 1 day, 9:10:37, time: 1.199, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0607, decode.acc_seg: 97.5191, aux.loss_ce: 0.0332, aux.acc_seg: 96.7092, loss: 0.0939 2023-02-24 18:24:07,979 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 1 day, 9:09:37, time: 1.140, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0635, decode.acc_seg: 97.4405, aux.loss_ce: 0.0345, aux.acc_seg: 96.6043, loss: 0.0979 2023-02-24 18:25:04,644 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 1 day, 9:08:37, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0637, decode.acc_seg: 97.4171, aux.loss_ce: 0.0348, aux.acc_seg: 96.5720, loss: 0.0985 2023-02-24 18:26:01,279 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 1 day, 9:07:37, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0649, decode.acc_seg: 97.3527, aux.loss_ce: 0.0348, aux.acc_seg: 96.5440, loss: 0.0997 2023-02-24 18:27:02,487 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 1 day, 9:06:46, time: 1.224, data_time: 0.104, memory: 27881, decode.loss_ce: 0.0612, decode.acc_seg: 97.5174, aux.loss_ce: 0.0336, aux.acc_seg: 96.6732, loss: 0.0948 2023-02-24 18:27:59,249 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:27:59,249 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 1 day, 9:05:46, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.5293, aux.loss_ce: 0.0335, aux.acc_seg: 96.7255, loss: 0.0952 2023-02-24 18:28:55,991 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 1 day, 9:04:46, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0669, decode.acc_seg: 97.3337, aux.loss_ce: 0.0363, aux.acc_seg: 96.4359, loss: 0.1032 2023-02-24 18:29:53,459 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 1 day, 9:03:47, time: 1.149, data_time: 0.029, memory: 27881, decode.loss_ce: 0.0618, decode.acc_seg: 97.5069, aux.loss_ce: 0.0348, aux.acc_seg: 96.5888, loss: 0.0966 2023-02-24 18:30:53,239 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 1 day, 9:02:53, time: 1.195, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.3822, aux.loss_ce: 0.0345, aux.acc_seg: 96.5919, loss: 0.0985 2023-02-24 18:31:50,104 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 1 day, 9:01:53, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0644, decode.acc_seg: 97.4067, aux.loss_ce: 0.0351, aux.acc_seg: 96.5543, loss: 0.0995 2023-02-24 18:32:46,751 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 1 day, 9:00:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0604, decode.acc_seg: 97.5512, aux.loss_ce: 0.0339, aux.acc_seg: 96.6730, loss: 0.0942 2023-02-24 18:33:47,010 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 1 day, 9:00:00, time: 1.205, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0604, decode.acc_seg: 97.5594, aux.loss_ce: 0.0336, aux.acc_seg: 96.7063, loss: 0.0940 2023-02-24 18:34:43,758 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 1 day, 8:59:00, time: 1.135, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0613, decode.acc_seg: 97.5165, aux.loss_ce: 0.0338, aux.acc_seg: 96.6586, loss: 0.0951 2023-02-24 18:35:40,405 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 1 day, 8:58:00, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0662, decode.acc_seg: 97.3550, aux.loss_ce: 0.0361, aux.acc_seg: 96.4871, loss: 0.1022 2023-02-24 18:36:37,069 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 1 day, 8:57:00, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0586, decode.acc_seg: 97.6083, aux.loss_ce: 0.0334, aux.acc_seg: 96.7018, loss: 0.0920 2023-02-24 18:37:37,644 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 1 day, 8:56:07, time: 1.212, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4101, aux.loss_ce: 0.0357, aux.acc_seg: 96.4843, loss: 0.0999 2023-02-24 18:38:34,238 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 1 day, 8:55:07, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0622, decode.acc_seg: 97.4992, aux.loss_ce: 0.0346, aux.acc_seg: 96.5948, loss: 0.0969 2023-02-24 18:39:30,860 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 1 day, 8:54:07, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0601, decode.acc_seg: 97.5801, aux.loss_ce: 0.0333, aux.acc_seg: 96.7533, loss: 0.0934 2023-02-24 18:40:27,566 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 1 day, 8:53:07, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0611, decode.acc_seg: 97.5279, aux.loss_ce: 0.0342, aux.acc_seg: 96.6258, loss: 0.0953 2023-02-24 18:41:28,243 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 1 day, 8:52:15, time: 1.214, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0619, decode.acc_seg: 97.4924, aux.loss_ce: 0.0344, aux.acc_seg: 96.6131, loss: 0.0962 2023-02-24 18:42:24,993 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 1 day, 8:51:15, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0614, decode.acc_seg: 97.5101, aux.loss_ce: 0.0338, aux.acc_seg: 96.6659, loss: 0.0952 2023-02-24 18:43:21,640 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 1 day, 8:50:15, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0615, decode.acc_seg: 97.4789, aux.loss_ce: 0.0347, aux.acc_seg: 96.5573, loss: 0.0962 2023-02-24 18:44:23,021 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 1 day, 8:49:23, time: 1.227, data_time: 0.107, memory: 27881, decode.loss_ce: 0.0619, decode.acc_seg: 97.4909, aux.loss_ce: 0.0355, aux.acc_seg: 96.5024, loss: 0.0974 2023-02-24 18:45:19,659 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 1 day, 8:48:23, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0637, decode.acc_seg: 97.4297, aux.loss_ce: 0.0348, aux.acc_seg: 96.5784, loss: 0.0986 2023-02-24 18:46:16,287 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 1 day, 8:47:23, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0632, decode.acc_seg: 97.4591, aux.loss_ce: 0.0347, aux.acc_seg: 96.5876, loss: 0.0979 2023-02-24 18:47:12,950 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:47:12,961 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 1 day, 8:46:24, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.4550, aux.loss_ce: 0.0342, aux.acc_seg: 96.6305, loss: 0.0969 2023-02-24 18:48:13,425 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 1 day, 8:45:30, time: 1.210, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4690, aux.loss_ce: 0.0349, aux.acc_seg: 96.5512, loss: 0.0972 2023-02-24 18:49:10,199 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 1 day, 8:44:31, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0634, decode.acc_seg: 97.4483, aux.loss_ce: 0.0350, aux.acc_seg: 96.5968, loss: 0.0984 2023-02-24 18:50:06,828 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 1 day, 8:43:31, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0604, decode.acc_seg: 97.5402, aux.loss_ce: 0.0344, aux.acc_seg: 96.5724, loss: 0.0947 2023-02-24 18:51:04,077 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 1 day, 8:42:32, time: 1.145, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0613, decode.acc_seg: 97.5276, aux.loss_ce: 0.0342, aux.acc_seg: 96.5999, loss: 0.0955 2023-02-24 18:52:04,713 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 1 day, 8:41:39, time: 1.213, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0639, decode.acc_seg: 97.4288, aux.loss_ce: 0.0346, aux.acc_seg: 96.6233, loss: 0.0986 2023-02-24 18:53:01,450 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 1 day, 8:40:39, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.4899, aux.loss_ce: 0.0342, aux.acc_seg: 96.6195, loss: 0.0963 2023-02-24 18:53:58,086 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 1 day, 8:39:39, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0621, decode.acc_seg: 97.4737, aux.loss_ce: 0.0341, aux.acc_seg: 96.6076, loss: 0.0962 2023-02-24 18:54:54,783 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 1 day, 8:38:39, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5013, aux.loss_ce: 0.0337, aux.acc_seg: 96.6600, loss: 0.0952 2023-02-24 18:55:55,050 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 1 day, 8:37:46, time: 1.205, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5756, aux.loss_ce: 0.0340, aux.acc_seg: 96.6840, loss: 0.0942 2023-02-24 18:56:51,757 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 1 day, 8:36:46, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.4469, aux.loss_ce: 0.0345, aux.acc_seg: 96.6563, loss: 0.0987 2023-02-24 18:57:48,554 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 1 day, 8:35:46, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0653, decode.acc_seg: 97.3605, aux.loss_ce: 0.0361, aux.acc_seg: 96.4604, loss: 0.1014 2023-02-24 18:58:48,114 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 1 day, 8:34:52, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0605, decode.acc_seg: 97.5639, aux.loss_ce: 0.0331, aux.acc_seg: 96.7419, loss: 0.0936 2023-02-24 18:59:44,749 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 1 day, 8:33:52, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4765, aux.loss_ce: 0.0341, aux.acc_seg: 96.6872, loss: 0.0968 2023-02-24 19:00:41,494 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 1 day, 8:32:52, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5707, aux.loss_ce: 0.0347, aux.acc_seg: 96.6191, loss: 0.0948 2023-02-24 19:01:38,152 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 1 day, 8:31:52, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0624, decode.acc_seg: 97.4736, aux.loss_ce: 0.0352, aux.acc_seg: 96.5418, loss: 0.0976 2023-02-24 19:02:37,642 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 1 day, 8:30:57, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0642, decode.acc_seg: 97.3793, aux.loss_ce: 0.0344, aux.acc_seg: 96.5831, loss: 0.0987 2023-02-24 19:03:34,462 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 1 day, 8:29:57, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4601, aux.loss_ce: 0.0347, aux.acc_seg: 96.5681, loss: 0.0973 2023-02-24 19:04:31,177 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 1 day, 8:28:58, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.4949, aux.loss_ce: 0.0353, aux.acc_seg: 96.5210, loss: 0.0973 2023-02-24 19:05:27,991 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 1 day, 8:27:58, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0610, decode.acc_seg: 97.5305, aux.loss_ce: 0.0341, aux.acc_seg: 96.6227, loss: 0.0952 2023-02-24 19:06:27,515 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:06:27,515 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 1 day, 8:27:03, time: 1.191, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0613, decode.acc_seg: 97.5042, aux.loss_ce: 0.0340, aux.acc_seg: 96.6352, loss: 0.0953 2023-02-24 19:07:24,361 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 1 day, 8:26:04, time: 1.137, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0592, decode.acc_seg: 97.5909, aux.loss_ce: 0.0323, aux.acc_seg: 96.7957, loss: 0.0916 2023-02-24 19:08:21,002 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 1 day, 8:25:04, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0719, decode.acc_seg: 97.2632, aux.loss_ce: 0.0350, aux.acc_seg: 96.6308, loss: 0.1069 2023-02-24 19:09:21,119 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 1 day, 8:24:10, time: 1.202, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0678, decode.acc_seg: 97.2820, aux.loss_ce: 0.0357, aux.acc_seg: 96.4995, loss: 0.1035 2023-02-24 19:10:17,838 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 1 day, 8:23:10, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0624, decode.acc_seg: 97.4993, aux.loss_ce: 0.0337, aux.acc_seg: 96.6735, loss: 0.0961 2023-02-24 19:11:14,552 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 1 day, 8:22:10, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0597, decode.acc_seg: 97.5776, aux.loss_ce: 0.0337, aux.acc_seg: 96.6653, loss: 0.0934 2023-02-24 19:12:11,275 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 1 day, 8:21:11, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0643, decode.acc_seg: 97.4158, aux.loss_ce: 0.0346, aux.acc_seg: 96.6162, loss: 0.0988 2023-02-24 19:13:11,493 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 1 day, 8:20:17, time: 1.204, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0605, decode.acc_seg: 97.5521, aux.loss_ce: 0.0342, aux.acc_seg: 96.6306, loss: 0.0947 2023-02-24 19:14:08,104 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 1 day, 8:19:17, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5430, aux.loss_ce: 0.0331, aux.acc_seg: 96.7037, loss: 0.0932 2023-02-24 19:15:04,837 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 1 day, 8:18:17, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4594, aux.loss_ce: 0.0342, aux.acc_seg: 96.6561, loss: 0.0970 2023-02-24 19:16:01,425 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 1 day, 8:17:17, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5121, aux.loss_ce: 0.0351, aux.acc_seg: 96.5439, loss: 0.0966 2023-02-24 19:17:01,075 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 1 day, 8:16:23, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0612, decode.acc_seg: 97.5417, aux.loss_ce: 0.0328, aux.acc_seg: 96.7534, loss: 0.0940 2023-02-24 19:17:57,924 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 1 day, 8:15:23, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5007, aux.loss_ce: 0.0336, aux.acc_seg: 96.7013, loss: 0.0952 2023-02-24 19:18:54,588 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 1 day, 8:14:23, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0612, decode.acc_seg: 97.5227, aux.loss_ce: 0.0339, aux.acc_seg: 96.6592, loss: 0.0951 2023-02-24 19:19:51,188 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 1 day, 8:13:23, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0625, decode.acc_seg: 97.4703, aux.loss_ce: 0.0336, aux.acc_seg: 96.6871, loss: 0.0961 2023-02-24 19:20:50,918 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 1 day, 8:12:29, time: 1.195, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4856, aux.loss_ce: 0.0341, aux.acc_seg: 96.6372, loss: 0.0964 2023-02-24 19:21:47,575 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 1 day, 8:11:29, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0648, decode.acc_seg: 97.3735, aux.loss_ce: 0.0342, aux.acc_seg: 96.6340, loss: 0.0990 2023-02-24 19:22:44,665 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 1 day, 8:10:30, time: 1.142, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0622, decode.acc_seg: 97.4719, aux.loss_ce: 0.0342, aux.acc_seg: 96.6001, loss: 0.0964 2023-02-24 19:23:44,331 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 1 day, 8:09:35, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0610, decode.acc_seg: 97.5340, aux.loss_ce: 0.0338, aux.acc_seg: 96.6537, loss: 0.0948 2023-02-24 19:24:41,071 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 1 day, 8:08:36, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0615, decode.acc_seg: 97.5204, aux.loss_ce: 0.0339, aux.acc_seg: 96.6403, loss: 0.0954 2023-02-24 19:25:37,754 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:25:37,754 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 1 day, 8:07:36, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0611, decode.acc_seg: 97.4987, aux.loss_ce: 0.0330, aux.acc_seg: 96.7289, loss: 0.0940 2023-02-24 19:26:34,691 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 1 day, 8:06:36, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0631, decode.acc_seg: 97.4383, aux.loss_ce: 0.0338, aux.acc_seg: 96.6575, loss: 0.0970 2023-02-24 19:27:34,351 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 1 day, 8:05:42, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.5975, aux.loss_ce: 0.0330, aux.acc_seg: 96.7268, loss: 0.0920 2023-02-24 19:28:31,021 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 1 day, 8:04:42, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0619, decode.acc_seg: 97.4763, aux.loss_ce: 0.0334, aux.acc_seg: 96.6829, loss: 0.0953 2023-02-24 19:29:27,750 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 1 day, 8:03:42, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0624, decode.acc_seg: 97.4769, aux.loss_ce: 0.0339, aux.acc_seg: 96.6564, loss: 0.0963 2023-02-24 19:30:24,997 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 1 day, 8:02:44, time: 1.145, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4529, aux.loss_ce: 0.0349, aux.acc_seg: 96.5665, loss: 0.0977 2023-02-24 19:31:25,050 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 1 day, 8:01:49, time: 1.201, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0640, decode.acc_seg: 97.4045, aux.loss_ce: 0.0346, aux.acc_seg: 96.5569, loss: 0.0986 2023-02-24 19:32:21,843 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 1 day, 8:00:50, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0609, decode.acc_seg: 97.5346, aux.loss_ce: 0.0330, aux.acc_seg: 96.7404, loss: 0.0939 2023-02-24 19:33:18,582 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 1 day, 7:59:50, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5788, aux.loss_ce: 0.0325, aux.acc_seg: 96.7818, loss: 0.0921 2023-02-24 19:34:15,376 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 1 day, 7:58:51, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5629, aux.loss_ce: 0.0340, aux.acc_seg: 96.6337, loss: 0.0938 2023-02-24 19:35:15,854 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 1 day, 7:57:57, time: 1.210, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.4774, aux.loss_ce: 0.0327, aux.acc_seg: 96.7253, loss: 0.0944 2023-02-24 19:36:12,594 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 1 day, 7:56:58, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0593, decode.acc_seg: 97.5693, aux.loss_ce: 0.0327, aux.acc_seg: 96.7478, loss: 0.0920 2023-02-24 19:37:10,102 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 1 day, 7:55:59, time: 1.150, data_time: 0.029, memory: 27881, decode.loss_ce: 0.0624, decode.acc_seg: 97.4839, aux.loss_ce: 0.0340, aux.acc_seg: 96.6695, loss: 0.0963 2023-02-24 19:38:10,466 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 1 day, 7:55:06, time: 1.207, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0613, decode.acc_seg: 97.5345, aux.loss_ce: 0.0333, aux.acc_seg: 96.7234, loss: 0.0946 2023-02-24 19:39:07,251 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 1 day, 7:54:06, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.5181, aux.loss_ce: 0.0337, aux.acc_seg: 96.6908, loss: 0.0954 2023-02-24 19:40:04,009 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 1 day, 7:53:06, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0629, decode.acc_seg: 97.4698, aux.loss_ce: 0.0346, aux.acc_seg: 96.6095, loss: 0.0975 2023-02-24 19:41:00,703 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 1 day, 7:52:07, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4273, aux.loss_ce: 0.0336, aux.acc_seg: 96.6411, loss: 0.0965 2023-02-24 19:42:01,164 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 1 day, 7:51:13, time: 1.209, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.4745, aux.loss_ce: 0.0344, aux.acc_seg: 96.5872, loss: 0.0964 2023-02-24 19:42:57,910 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 1 day, 7:50:14, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4530, aux.loss_ce: 0.0331, aux.acc_seg: 96.7220, loss: 0.0959 2023-02-24 19:43:55,148 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 1 day, 7:49:15, time: 1.145, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.6196, aux.loss_ce: 0.0316, aux.acc_seg: 96.8744, loss: 0.0905 2023-02-24 19:44:51,952 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:44:51,953 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 1 day, 7:48:15, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0615, decode.acc_seg: 97.4912, aux.loss_ce: 0.0332, aux.acc_seg: 96.7011, loss: 0.0946 2023-02-24 19:45:53,054 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 1 day, 7:47:23, time: 1.222, data_time: 0.102, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.5167, aux.loss_ce: 0.0343, aux.acc_seg: 96.6398, loss: 0.0969 2023-02-24 19:46:50,526 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 1 day, 7:46:24, time: 1.150, data_time: 0.025, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.5148, aux.loss_ce: 0.0352, aux.acc_seg: 96.5466, loss: 0.0973 2023-02-24 19:47:47,261 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 1 day, 7:45:25, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0632, decode.acc_seg: 97.4344, aux.loss_ce: 0.0343, aux.acc_seg: 96.5976, loss: 0.0975 2023-02-24 19:48:47,258 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 1 day, 7:44:31, time: 1.200, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0590, decode.acc_seg: 97.5965, aux.loss_ce: 0.0333, aux.acc_seg: 96.6954, loss: 0.0924 2023-02-24 19:49:43,921 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 1 day, 7:43:31, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0592, decode.acc_seg: 97.6006, aux.loss_ce: 0.0323, aux.acc_seg: 96.8194, loss: 0.0915 2023-02-24 19:50:40,819 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 1 day, 7:42:31, time: 1.138, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4745, aux.loss_ce: 0.0346, aux.acc_seg: 96.5600, loss: 0.0969 2023-02-24 19:51:37,626 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 1 day, 7:41:32, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0615, decode.acc_seg: 97.4848, aux.loss_ce: 0.0336, aux.acc_seg: 96.6599, loss: 0.0951 2023-02-24 19:52:37,993 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 1 day, 7:40:38, time: 1.207, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5565, aux.loss_ce: 0.0327, aux.acc_seg: 96.7606, loss: 0.0929 2023-02-24 19:53:34,789 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 1 day, 7:39:39, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0627, decode.acc_seg: 97.4576, aux.loss_ce: 0.0346, aux.acc_seg: 96.5570, loss: 0.0973 2023-02-24 19:54:31,577 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 1 day, 7:38:39, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5743, aux.loss_ce: 0.0323, aux.acc_seg: 96.8110, loss: 0.0924 2023-02-24 19:55:28,349 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 1 day, 7:37:40, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.4702, aux.loss_ce: 0.0345, aux.acc_seg: 96.5862, loss: 0.0964 2023-02-24 19:56:29,110 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 1 day, 7:36:47, time: 1.215, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5787, aux.loss_ce: 0.0337, aux.acc_seg: 96.6816, loss: 0.0933 2023-02-24 19:57:26,123 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 1 day, 7:35:47, time: 1.140, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0601, decode.acc_seg: 97.5479, aux.loss_ce: 0.0330, aux.acc_seg: 96.7320, loss: 0.0931 2023-02-24 19:58:22,860 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 1 day, 7:34:48, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0594, decode.acc_seg: 97.6045, aux.loss_ce: 0.0328, aux.acc_seg: 96.7724, loss: 0.0921 2023-02-24 19:59:19,576 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 1 day, 7:33:48, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0593, decode.acc_seg: 97.5671, aux.loss_ce: 0.0321, aux.acc_seg: 96.8050, loss: 0.0914 2023-02-24 20:00:20,245 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 1 day, 7:32:55, time: 1.213, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5888, aux.loss_ce: 0.0327, aux.acc_seg: 96.7664, loss: 0.0922 2023-02-24 20:01:17,022 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 1 day, 7:31:56, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0636, decode.acc_seg: 97.4500, aux.loss_ce: 0.0342, aux.acc_seg: 96.6310, loss: 0.0978 2023-02-24 20:02:13,740 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 1 day, 7:30:56, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0612, decode.acc_seg: 97.5037, aux.loss_ce: 0.0329, aux.acc_seg: 96.7339, loss: 0.0941 2023-02-24 20:03:14,839 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 1 day, 7:30:03, time: 1.222, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0603, decode.acc_seg: 97.5468, aux.loss_ce: 0.0335, aux.acc_seg: 96.6881, loss: 0.0938 2023-02-24 20:04:11,595 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:04:11,595 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 1 day, 7:29:04, time: 1.135, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5831, aux.loss_ce: 0.0331, aux.acc_seg: 96.7372, loss: 0.0929 2023-02-24 20:05:08,412 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 1 day, 7:28:04, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5164, aux.loss_ce: 0.0336, aux.acc_seg: 96.6553, loss: 0.0945 2023-02-24 20:06:05,236 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 1 day, 7:27:05, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0626, decode.acc_seg: 97.4713, aux.loss_ce: 0.0334, aux.acc_seg: 96.6995, loss: 0.0960 2023-02-24 20:07:05,808 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 1 day, 7:26:11, time: 1.211, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0604, decode.acc_seg: 97.5726, aux.loss_ce: 0.0327, aux.acc_seg: 96.7624, loss: 0.0931 2023-02-24 20:08:02,395 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 1 day, 7:25:12, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.4949, aux.loss_ce: 0.0344, aux.acc_seg: 96.6008, loss: 0.0961 2023-02-24 20:08:59,060 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 1 day, 7:24:12, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0605, decode.acc_seg: 97.5417, aux.loss_ce: 0.0327, aux.acc_seg: 96.7571, loss: 0.0932 2023-02-24 20:09:56,617 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 1 day, 7:23:14, time: 1.151, data_time: 0.031, memory: 27881, decode.loss_ce: 0.0599, decode.acc_seg: 97.5626, aux.loss_ce: 0.0331, aux.acc_seg: 96.7446, loss: 0.0930 2023-02-24 20:10:56,831 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 1 day, 7:22:20, time: 1.204, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0636, decode.acc_seg: 97.4651, aux.loss_ce: 0.0338, aux.acc_seg: 96.6770, loss: 0.0975 2023-02-24 20:11:53,426 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 1 day, 7:21:20, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0604, decode.acc_seg: 97.5516, aux.loss_ce: 0.0338, aux.acc_seg: 96.6503, loss: 0.0943 2023-02-24 20:12:50,136 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 1 day, 7:20:20, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.5060, aux.loss_ce: 0.0334, aux.acc_seg: 96.7167, loss: 0.0955 2023-02-24 20:13:50,894 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 1 day, 7:19:27, time: 1.215, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0633, decode.acc_seg: 97.4468, aux.loss_ce: 0.0332, aux.acc_seg: 96.7098, loss: 0.0965 2023-02-24 20:14:47,577 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 1 day, 7:18:27, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0624, decode.acc_seg: 97.4933, aux.loss_ce: 0.0329, aux.acc_seg: 96.7546, loss: 0.0954 2023-02-24 20:15:44,279 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 1 day, 7:17:28, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5492, aux.loss_ce: 0.0338, aux.acc_seg: 96.6345, loss: 0.0938 2023-02-24 20:16:41,864 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 1 day, 7:16:30, time: 1.152, data_time: 0.032, memory: 27881, decode.loss_ce: 0.0621, decode.acc_seg: 97.4796, aux.loss_ce: 0.0336, aux.acc_seg: 96.6696, loss: 0.0957 2023-02-24 20:17:42,064 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 1 day, 7:15:35, time: 1.204, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0609, decode.acc_seg: 97.5252, aux.loss_ce: 0.0330, aux.acc_seg: 96.7593, loss: 0.0939 2023-02-24 20:18:38,709 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 1 day, 7:14:36, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0650, decode.acc_seg: 97.4223, aux.loss_ce: 0.0344, aux.acc_seg: 96.6424, loss: 0.0994 2023-02-24 20:19:35,434 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 1 day, 7:13:36, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0629, decode.acc_seg: 97.4613, aux.loss_ce: 0.0346, aux.acc_seg: 96.5906, loss: 0.0975 2023-02-24 20:20:32,521 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 1 day, 7:12:37, time: 1.142, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0656, decode.acc_seg: 97.3423, aux.loss_ce: 0.0355, aux.acc_seg: 96.5103, loss: 0.1012 2023-02-24 20:21:33,854 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 1 day, 7:11:45, time: 1.227, data_time: 0.099, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5607, aux.loss_ce: 0.0323, aux.acc_seg: 96.7882, loss: 0.0919 2023-02-24 20:22:30,454 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 1 day, 7:10:45, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5884, aux.loss_ce: 0.0327, aux.acc_seg: 96.7514, loss: 0.0922 2023-02-24 20:23:27,175 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:23:27,176 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 1 day, 7:09:46, time: 1.134, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0601, decode.acc_seg: 97.5681, aux.loss_ce: 0.0343, aux.acc_seg: 96.6368, loss: 0.0944 2023-02-24 20:24:23,850 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 1 day, 7:08:46, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.6209, aux.loss_ce: 0.0321, aux.acc_seg: 96.8418, loss: 0.0910 2023-02-24 20:25:23,697 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 1 day, 7:07:51, time: 1.197, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0594, decode.acc_seg: 97.5770, aux.loss_ce: 0.0330, aux.acc_seg: 96.7304, loss: 0.0924 2023-02-24 20:26:20,352 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 1 day, 7:06:52, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0599, decode.acc_seg: 97.5712, aux.loss_ce: 0.0328, aux.acc_seg: 96.7743, loss: 0.0927 2023-02-24 20:27:17,306 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 1 day, 7:05:53, time: 1.139, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0610, decode.acc_seg: 97.5189, aux.loss_ce: 0.0330, aux.acc_seg: 96.7435, loss: 0.0941 2023-02-24 20:28:17,847 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 1 day, 7:04:59, time: 1.211, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5799, aux.loss_ce: 0.0329, aux.acc_seg: 96.7541, loss: 0.0927 2023-02-24 20:29:14,480 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 1 day, 7:03:59, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.4990, aux.loss_ce: 0.0326, aux.acc_seg: 96.7806, loss: 0.0943 2023-02-24 20:30:11,161 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 1 day, 7:03:00, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0586, decode.acc_seg: 97.6221, aux.loss_ce: 0.0326, aux.acc_seg: 96.7732, loss: 0.0912 2023-02-24 20:31:07,879 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 1 day, 7:02:00, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0628, decode.acc_seg: 97.4951, aux.loss_ce: 0.0330, aux.acc_seg: 96.7563, loss: 0.0958 2023-02-24 20:32:08,381 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 1 day, 7:01:06, time: 1.210, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0605, decode.acc_seg: 97.5452, aux.loss_ce: 0.0326, aux.acc_seg: 96.7616, loss: 0.0932 2023-02-24 20:33:05,160 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 1 day, 7:00:07, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0607, decode.acc_seg: 97.5360, aux.loss_ce: 0.0321, aux.acc_seg: 96.8202, loss: 0.0928 2023-02-24 20:34:02,189 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 1 day, 6:59:08, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0605, decode.acc_seg: 97.5533, aux.loss_ce: 0.0335, aux.acc_seg: 96.7339, loss: 0.0940 2023-02-24 20:34:58,834 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 1 day, 6:58:08, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0597, decode.acc_seg: 97.5816, aux.loss_ce: 0.0322, aux.acc_seg: 96.8155, loss: 0.0918 2023-02-24 20:35:59,230 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 1 day, 6:57:14, time: 1.208, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0606, decode.acc_seg: 97.5485, aux.loss_ce: 0.0338, aux.acc_seg: 96.6794, loss: 0.0944 2023-02-24 20:36:55,874 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 1 day, 6:56:15, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5332, aux.loss_ce: 0.0324, aux.acc_seg: 96.7727, loss: 0.0926 2023-02-24 20:37:52,510 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 1 day, 6:55:15, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0631, decode.acc_seg: 97.4413, aux.loss_ce: 0.0336, aux.acc_seg: 96.6899, loss: 0.0967 2023-02-24 20:38:52,100 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 1 day, 6:54:20, time: 1.191, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4652, aux.loss_ce: 0.0342, aux.acc_seg: 96.6153, loss: 0.0966 2023-02-24 20:39:48,755 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 1 day, 6:53:20, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0612, decode.acc_seg: 97.5304, aux.loss_ce: 0.0338, aux.acc_seg: 96.6803, loss: 0.0950 2023-02-24 20:40:45,520 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 1 day, 6:52:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5589, aux.loss_ce: 0.0324, aux.acc_seg: 96.7719, loss: 0.0920 2023-02-24 20:41:42,317 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 1 day, 6:51:22, time: 1.136, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6526, aux.loss_ce: 0.0322, aux.acc_seg: 96.7934, loss: 0.0896 2023-02-24 20:42:41,891 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-02-24 20:42:45,753 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:42:45,765 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 1 day, 6:50:32, time: 1.269, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6404, aux.loss_ce: 0.0328, aux.acc_seg: 96.7620, loss: 0.0909 2023-02-24 20:43:56,036 - mmseg - INFO - per class results: 2023-02-24 20:43:56,046 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.44 | 99.05 | | sidewalk | 87.01 | 94.93 | | building | 93.5 | 97.28 | | wall | 60.63 | 67.14 | | fence | 68.36 | 76.4 | | pole | 71.04 | 79.18 | | traffic light | 75.69 | 86.31 | | traffic sign | 83.32 | 88.72 | | vegetation | 93.24 | 96.76 | | terrain | 66.98 | 75.13 | | sky | 95.1 | 98.64 | | person | 85.47 | 92.35 | | rider | 67.75 | 79.76 | | car | 96.26 | 98.08 | | truck | 90.25 | 93.46 | | bus | 93.12 | 94.68 | | train | 89.0 | 92.39 | | motorcycle | 72.72 | 82.3 | | bicycle | 81.25 | 90.45 | +---------------+-------+-------+ 2023-02-24 20:43:56,047 - mmseg - INFO - Summary: 2023-02-24 20:43:56,047 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.71 | 82.59 | 88.58 | +-------+-------+-------+ 2023-02-24 20:43:56,058 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_48000.pth was removed 2023-02-24 20:43:59,092 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2023-02-24 20:43:59,093 - mmseg - INFO - Best mIoU is 0.8259 at 64000 iter. 2023-02-24 20:43:59,094 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:43:59,094 - mmseg - INFO - Iter(val) [125] aAcc: 0.9671, mIoU: 0.8259, mAcc: 0.8858, IoU.road: 0.9844, IoU.sidewalk: 0.8701, IoU.building: 0.9350, IoU.wall: 0.6063, IoU.fence: 0.6836, IoU.pole: 0.7104, IoU.traffic light: 0.7569, IoU.traffic sign: 0.8332, IoU.vegetation: 0.9324, IoU.terrain: 0.6698, IoU.sky: 0.9510, IoU.person: 0.8547, IoU.rider: 0.6775, IoU.car: 0.9626, IoU.truck: 0.9025, IoU.bus: 0.9312, IoU.train: 0.8900, IoU.motorcycle: 0.7272, IoU.bicycle: 0.8125, Acc.road: 0.9905, Acc.sidewalk: 0.9493, Acc.building: 0.9728, Acc.wall: 0.6714, Acc.fence: 0.7640, Acc.pole: 0.7918, Acc.traffic light: 0.8631, Acc.traffic sign: 0.8872, Acc.vegetation: 0.9676, Acc.terrain: 0.7513, Acc.sky: 0.9864, Acc.person: 0.9235, Acc.rider: 0.7976, Acc.car: 0.9808, Acc.truck: 0.9346, Acc.bus: 0.9468, Acc.train: 0.9239, Acc.motorcycle: 0.8230, Acc.bicycle: 0.9045 2023-02-24 20:44:55,729 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 1 day, 6:51:22, time: 2.599, data_time: 1.478, memory: 27881, decode.loss_ce: 0.0622, decode.acc_seg: 97.4881, aux.loss_ce: 0.0333, aux.acc_seg: 96.7105, loss: 0.0954 2023-02-24 20:45:52,617 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 1 day, 6:50:23, time: 1.138, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0634, decode.acc_seg: 97.4470, aux.loss_ce: 0.0353, aux.acc_seg: 96.5577, loss: 0.0987 2023-02-24 20:46:49,365 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 1 day, 6:49:23, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4837, aux.loss_ce: 0.0340, aux.acc_seg: 96.6274, loss: 0.0964 2023-02-24 20:47:49,089 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 1 day, 6:48:28, time: 1.194, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0629, decode.acc_seg: 97.4470, aux.loss_ce: 0.0338, aux.acc_seg: 96.6351, loss: 0.0967 2023-02-24 20:48:45,902 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 1 day, 6:47:29, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0648, decode.acc_seg: 97.4100, aux.loss_ce: 0.0353, aux.acc_seg: 96.5313, loss: 0.1002 2023-02-24 20:49:42,649 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 1 day, 6:46:29, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0631, decode.acc_seg: 97.4379, aux.loss_ce: 0.0346, aux.acc_seg: 96.5850, loss: 0.0977 2023-02-24 20:50:39,414 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 1 day, 6:45:30, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5754, aux.loss_ce: 0.0327, aux.acc_seg: 96.7761, loss: 0.0927 2023-02-24 20:51:39,264 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 1 day, 6:44:35, time: 1.197, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0587, decode.acc_seg: 97.5975, aux.loss_ce: 0.0323, aux.acc_seg: 96.8108, loss: 0.0910 2023-02-24 20:52:36,052 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 1 day, 6:43:35, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5121, aux.loss_ce: 0.0342, aux.acc_seg: 96.6007, loss: 0.0949 2023-02-24 20:53:32,743 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 1 day, 6:42:36, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0592, decode.acc_seg: 97.5854, aux.loss_ce: 0.0324, aux.acc_seg: 96.7834, loss: 0.0916 2023-02-24 20:54:32,314 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 1 day, 6:41:40, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0594, decode.acc_seg: 97.6052, aux.loss_ce: 0.0327, aux.acc_seg: 96.7989, loss: 0.0921 2023-02-24 20:55:28,956 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 1 day, 6:40:40, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0575, decode.acc_seg: 97.6541, aux.loss_ce: 0.0316, aux.acc_seg: 96.8705, loss: 0.0891 2023-02-24 20:56:25,684 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 1 day, 6:39:41, time: 1.135, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5408, aux.loss_ce: 0.0336, aux.acc_seg: 96.6851, loss: 0.0945 2023-02-24 20:57:22,641 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 1 day, 6:38:42, time: 1.139, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.5944, aux.loss_ce: 0.0326, aux.acc_seg: 96.7707, loss: 0.0915 2023-02-24 20:58:22,410 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 1 day, 6:37:46, time: 1.195, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5631, aux.loss_ce: 0.0327, aux.acc_seg: 96.7777, loss: 0.0929 2023-02-24 20:59:19,084 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 1 day, 6:36:47, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6424, aux.loss_ce: 0.0332, aux.acc_seg: 96.7114, loss: 0.0913 2023-02-24 21:00:15,746 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 1 day, 6:35:47, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0584, decode.acc_seg: 97.6137, aux.loss_ce: 0.0321, aux.acc_seg: 96.8103, loss: 0.0904 2023-02-24 21:01:12,764 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 1 day, 6:34:48, time: 1.140, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0606, decode.acc_seg: 97.5374, aux.loss_ce: 0.0338, aux.acc_seg: 96.6499, loss: 0.0944 2023-02-24 21:02:12,783 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 1 day, 6:33:53, time: 1.201, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5680, aux.loss_ce: 0.0323, aux.acc_seg: 96.7633, loss: 0.0919 2023-02-24 21:03:09,440 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:03:09,440 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 1 day, 6:32:54, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.5909, aux.loss_ce: 0.0321, aux.acc_seg: 96.8228, loss: 0.0910 2023-02-24 21:04:06,136 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 1 day, 6:31:54, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0573, decode.acc_seg: 97.6622, aux.loss_ce: 0.0325, aux.acc_seg: 96.7604, loss: 0.0898 2023-02-24 21:05:02,818 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 1 day, 6:30:54, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0597, decode.acc_seg: 97.5914, aux.loss_ce: 0.0328, aux.acc_seg: 96.7556, loss: 0.0926 2023-02-24 21:06:03,478 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 1 day, 6:30:00, time: 1.213, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.6175, aux.loss_ce: 0.0329, aux.acc_seg: 96.7376, loss: 0.0917 2023-02-24 21:07:00,091 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 1 day, 6:29:01, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0607, decode.acc_seg: 97.5387, aux.loss_ce: 0.0324, aux.acc_seg: 96.8164, loss: 0.0931 2023-02-24 21:07:56,812 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 1 day, 6:28:01, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.5054, aux.loss_ce: 0.0336, aux.acc_seg: 96.6650, loss: 0.0952 2023-02-24 21:08:57,885 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 1 day, 6:27:08, time: 1.222, data_time: 0.098, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5742, aux.loss_ce: 0.0323, aux.acc_seg: 96.7860, loss: 0.0921 2023-02-24 21:09:54,667 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 1 day, 6:26:08, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0599, decode.acc_seg: 97.5535, aux.loss_ce: 0.0324, aux.acc_seg: 96.7713, loss: 0.0923 2023-02-24 21:10:51,404 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 1 day, 6:25:09, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5700, aux.loss_ce: 0.0330, aux.acc_seg: 96.7257, loss: 0.0925 2023-02-24 21:11:48,185 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 1 day, 6:24:09, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6621, aux.loss_ce: 0.0322, aux.acc_seg: 96.8127, loss: 0.0896 2023-02-24 21:12:49,001 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 1 day, 6:23:16, time: 1.216, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0603, decode.acc_seg: 97.5391, aux.loss_ce: 0.0324, aux.acc_seg: 96.7804, loss: 0.0927 2023-02-24 21:13:45,696 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 1 day, 6:22:16, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0609, decode.acc_seg: 97.5272, aux.loss_ce: 0.0328, aux.acc_seg: 96.7504, loss: 0.0937 2023-02-24 21:14:42,880 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 1 day, 6:21:17, time: 1.144, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0593, decode.acc_seg: 97.5611, aux.loss_ce: 0.0319, aux.acc_seg: 96.8241, loss: 0.0912 2023-02-24 21:15:39,538 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 1 day, 6:20:18, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6889, aux.loss_ce: 0.0322, aux.acc_seg: 96.7755, loss: 0.0888 2023-02-24 21:16:39,967 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 1 day, 6:19:23, time: 1.209, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6451, aux.loss_ce: 0.0325, aux.acc_seg: 96.7939, loss: 0.0906 2023-02-24 21:17:36,778 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 1 day, 6:18:24, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0616, decode.acc_seg: 97.4710, aux.loss_ce: 0.0332, aux.acc_seg: 96.6727, loss: 0.0948 2023-02-24 21:18:33,543 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 1 day, 6:17:25, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.7222, aux.loss_ce: 0.0321, aux.acc_seg: 96.8329, loss: 0.0885 2023-02-24 21:19:34,242 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 1 day, 6:16:31, time: 1.214, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0585, decode.acc_seg: 97.6074, aux.loss_ce: 0.0321, aux.acc_seg: 96.7960, loss: 0.0906 2023-02-24 21:20:30,947 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 1 day, 6:15:31, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6139, aux.loss_ce: 0.0319, aux.acc_seg: 96.8253, loss: 0.0902 2023-02-24 21:21:28,101 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 1 day, 6:14:32, time: 1.143, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0639, decode.acc_seg: 97.4059, aux.loss_ce: 0.0342, aux.acc_seg: 96.5832, loss: 0.0981 2023-02-24 21:22:24,773 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:22:24,782 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 1 day, 6:13:33, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.5246, aux.loss_ce: 0.0330, aux.acc_seg: 96.7319, loss: 0.0947 2023-02-24 21:23:25,221 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 1 day, 6:12:38, time: 1.209, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0606, decode.acc_seg: 97.5481, aux.loss_ce: 0.0328, aux.acc_seg: 96.7430, loss: 0.0934 2023-02-24 21:24:21,830 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 1 day, 6:11:39, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0602, decode.acc_seg: 97.5621, aux.loss_ce: 0.0326, aux.acc_seg: 96.7727, loss: 0.0928 2023-02-24 21:25:18,549 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 1 day, 6:10:39, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.5908, aux.loss_ce: 0.0325, aux.acc_seg: 96.7817, loss: 0.0916 2023-02-24 21:26:15,257 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 1 day, 6:09:40, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5585, aux.loss_ce: 0.0328, aux.acc_seg: 96.7602, loss: 0.0928 2023-02-24 21:27:15,859 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 1 day, 6:08:46, time: 1.212, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0597, decode.acc_seg: 97.5810, aux.loss_ce: 0.0334, aux.acc_seg: 96.7142, loss: 0.0931 2023-02-24 21:28:13,143 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 1 day, 6:07:47, time: 1.146, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0606, decode.acc_seg: 97.5382, aux.loss_ce: 0.0327, aux.acc_seg: 96.7606, loss: 0.0933 2023-02-24 21:29:09,886 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 1 day, 6:06:47, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0651, decode.acc_seg: 97.3659, aux.loss_ce: 0.0348, aux.acc_seg: 96.6344, loss: 0.0999 2023-02-24 21:30:06,627 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 1 day, 6:05:48, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0606, decode.acc_seg: 97.5318, aux.loss_ce: 0.0349, aux.acc_seg: 96.6006, loss: 0.0955 2023-02-24 21:31:07,274 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 1 day, 6:04:54, time: 1.212, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5886, aux.loss_ce: 0.0333, aux.acc_seg: 96.7438, loss: 0.0929 2023-02-24 21:32:04,019 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 1 day, 6:03:54, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0646, decode.acc_seg: 97.4092, aux.loss_ce: 0.0364, aux.acc_seg: 96.4982, loss: 0.1011 2023-02-24 21:33:00,875 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 1 day, 6:02:55, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5655, aux.loss_ce: 0.0327, aux.acc_seg: 96.7302, loss: 0.0927 2023-02-24 21:34:01,703 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 1 day, 6:02:01, time: 1.216, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.6022, aux.loss_ce: 0.0332, aux.acc_seg: 96.7252, loss: 0.0923 2023-02-24 21:34:58,681 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 1 day, 6:01:02, time: 1.140, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0724, decode.acc_seg: 97.1474, aux.loss_ce: 0.0376, aux.acc_seg: 96.4213, loss: 0.1100 2023-02-24 21:35:55,434 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 1 day, 6:00:03, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0637, decode.acc_seg: 97.4407, aux.loss_ce: 0.0349, aux.acc_seg: 96.5407, loss: 0.0987 2023-02-24 21:36:52,296 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 1 day, 5:59:04, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0669, decode.acc_seg: 97.3507, aux.loss_ce: 0.0341, aux.acc_seg: 96.6780, loss: 0.1009 2023-02-24 21:37:52,402 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 1 day, 5:58:09, time: 1.202, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0627, decode.acc_seg: 97.4828, aux.loss_ce: 0.0352, aux.acc_seg: 96.5282, loss: 0.0979 2023-02-24 21:38:49,212 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 1 day, 5:57:09, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5319, aux.loss_ce: 0.0328, aux.acc_seg: 96.7410, loss: 0.0936 2023-02-24 21:39:46,063 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 1 day, 5:56:10, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6363, aux.loss_ce: 0.0323, aux.acc_seg: 96.8167, loss: 0.0904 2023-02-24 21:40:43,622 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 1 day, 5:55:12, time: 1.151, data_time: 0.030, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5803, aux.loss_ce: 0.0337, aux.acc_seg: 96.6817, loss: 0.0932 2023-02-24 21:41:43,724 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:41:43,724 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 1 day, 5:54:17, time: 1.202, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0610, decode.acc_seg: 97.5379, aux.loss_ce: 0.0341, aux.acc_seg: 96.6405, loss: 0.0951 2023-02-24 21:42:40,414 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 1 day, 5:53:17, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0631, decode.acc_seg: 97.4620, aux.loss_ce: 0.0343, aux.acc_seg: 96.6134, loss: 0.0975 2023-02-24 21:43:37,319 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 1 day, 5:52:18, time: 1.138, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.4634, aux.loss_ce: 0.0332, aux.acc_seg: 96.6902, loss: 0.0951 2023-02-24 21:44:38,203 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 1 day, 5:51:24, time: 1.217, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0620, decode.acc_seg: 97.4783, aux.loss_ce: 0.0330, aux.acc_seg: 96.7372, loss: 0.0950 2023-02-24 21:45:35,035 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 1 day, 5:50:25, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6515, aux.loss_ce: 0.0320, aux.acc_seg: 96.8483, loss: 0.0900 2023-02-24 21:46:31,867 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 1 day, 5:49:26, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0576, decode.acc_seg: 97.6448, aux.loss_ce: 0.0316, aux.acc_seg: 96.8692, loss: 0.0893 2023-02-24 21:47:29,208 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 1 day, 5:48:27, time: 1.147, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0618, decode.acc_seg: 97.4859, aux.loss_ce: 0.0335, aux.acc_seg: 96.6713, loss: 0.0953 2023-02-24 21:48:29,102 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 1 day, 5:47:32, time: 1.198, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.5746, aux.loss_ce: 0.0327, aux.acc_seg: 96.7382, loss: 0.0918 2023-02-24 21:49:25,846 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 1 day, 5:46:33, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.6088, aux.loss_ce: 0.0327, aux.acc_seg: 96.7564, loss: 0.0916 2023-02-24 21:50:22,566 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 1 day, 5:45:33, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0590, decode.acc_seg: 97.5830, aux.loss_ce: 0.0331, aux.acc_seg: 96.7032, loss: 0.0921 2023-02-24 21:51:19,403 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 1 day, 5:44:34, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5941, aux.loss_ce: 0.0331, aux.acc_seg: 96.7234, loss: 0.0927 2023-02-24 21:52:20,300 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 1 day, 5:43:40, time: 1.218, data_time: 0.095, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5718, aux.loss_ce: 0.0324, aux.acc_seg: 96.7956, loss: 0.0919 2023-02-24 21:53:17,196 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 1 day, 5:42:41, time: 1.138, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.4970, aux.loss_ce: 0.0342, aux.acc_seg: 96.6371, loss: 0.0959 2023-02-24 21:54:14,288 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 1 day, 5:41:42, time: 1.142, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6583, aux.loss_ce: 0.0317, aux.acc_seg: 96.8261, loss: 0.0889 2023-02-24 21:55:11,046 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 1 day, 5:40:43, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0562, decode.acc_seg: 97.7138, aux.loss_ce: 0.0315, aux.acc_seg: 96.8834, loss: 0.0878 2023-02-24 21:56:11,306 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 1 day, 5:39:48, time: 1.205, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5737, aux.loss_ce: 0.0326, aux.acc_seg: 96.8157, loss: 0.0921 2023-02-24 21:57:08,116 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 1 day, 5:38:49, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5454, aux.loss_ce: 0.0320, aux.acc_seg: 96.8086, loss: 0.0918 2023-02-24 21:58:04,863 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 1 day, 5:37:49, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.7036, aux.loss_ce: 0.0312, aux.acc_seg: 96.8926, loss: 0.0875 2023-02-24 21:59:05,103 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 1 day, 5:36:54, time: 1.205, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5864, aux.loss_ce: 0.0329, aux.acc_seg: 96.7398, loss: 0.0925 2023-02-24 22:00:01,847 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 1 day, 5:35:55, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0584, decode.acc_seg: 97.6186, aux.loss_ce: 0.0320, aux.acc_seg: 96.8135, loss: 0.0904 2023-02-24 22:00:59,405 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:00:59,409 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 1 day, 5:34:57, time: 1.151, data_time: 0.028, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5922, aux.loss_ce: 0.0327, aux.acc_seg: 96.7672, loss: 0.0922 2023-02-24 22:01:56,017 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 1 day, 5:33:57, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.6078, aux.loss_ce: 0.0316, aux.acc_seg: 96.8571, loss: 0.0904 2023-02-24 22:02:55,967 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 1 day, 5:33:02, time: 1.199, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6884, aux.loss_ce: 0.0317, aux.acc_seg: 96.8933, loss: 0.0889 2023-02-24 22:03:52,572 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 1 day, 5:32:02, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6905, aux.loss_ce: 0.0310, aux.acc_seg: 96.9216, loss: 0.0875 2023-02-24 22:04:49,432 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 1 day, 5:31:03, time: 1.137, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5228, aux.loss_ce: 0.0336, aux.acc_seg: 96.6768, loss: 0.0944 2023-02-24 22:05:46,196 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 1 day, 5:30:04, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.7205, aux.loss_ce: 0.0319, aux.acc_seg: 96.8785, loss: 0.0882 2023-02-24 22:06:47,063 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 1 day, 5:29:10, time: 1.217, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7014, aux.loss_ce: 0.0313, aux.acc_seg: 96.8563, loss: 0.0871 2023-02-24 22:07:44,660 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 1 day, 5:28:12, time: 1.152, data_time: 0.031, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6711, aux.loss_ce: 0.0318, aux.acc_seg: 96.8518, loss: 0.0890 2023-02-24 22:08:41,251 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 1 day, 5:27:12, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.7034, aux.loss_ce: 0.0314, aux.acc_seg: 96.8879, loss: 0.0877 2023-02-24 22:09:41,841 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 1 day, 5:26:18, time: 1.212, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6410, aux.loss_ce: 0.0329, aux.acc_seg: 96.7423, loss: 0.0909 2023-02-24 22:10:38,453 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 1 day, 5:25:18, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0596, decode.acc_seg: 97.5554, aux.loss_ce: 0.0327, aux.acc_seg: 96.7341, loss: 0.0922 2023-02-24 22:11:35,164 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 1 day, 5:24:19, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5682, aux.loss_ce: 0.0318, aux.acc_seg: 96.8340, loss: 0.0916 2023-02-24 22:12:31,836 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 1 day, 5:23:19, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0634, decode.acc_seg: 97.4140, aux.loss_ce: 0.0335, aux.acc_seg: 96.6545, loss: 0.0970 2023-02-24 22:13:32,385 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 1 day, 5:22:25, time: 1.211, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0618, decode.acc_seg: 97.5113, aux.loss_ce: 0.0328, aux.acc_seg: 96.7794, loss: 0.0946 2023-02-24 22:14:29,760 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 1 day, 5:21:26, time: 1.147, data_time: 0.029, memory: 27881, decode.loss_ce: 0.0571, decode.acc_seg: 97.6544, aux.loss_ce: 0.0331, aux.acc_seg: 96.7089, loss: 0.0902 2023-02-24 22:15:26,574 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 1 day, 5:20:27, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0593, decode.acc_seg: 97.5927, aux.loss_ce: 0.0322, aux.acc_seg: 96.7970, loss: 0.0915 2023-02-24 22:16:23,308 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 1 day, 5:19:28, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7201, aux.loss_ce: 0.0318, aux.acc_seg: 96.8289, loss: 0.0876 2023-02-24 22:17:24,003 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 1 day, 5:18:34, time: 1.214, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.5998, aux.loss_ce: 0.0329, aux.acc_seg: 96.7054, loss: 0.0911 2023-02-24 22:18:20,706 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 1 day, 5:17:34, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0601, decode.acc_seg: 97.5551, aux.loss_ce: 0.0324, aux.acc_seg: 96.7814, loss: 0.0925 2023-02-24 22:19:17,392 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 1 day, 5:16:35, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0583, decode.acc_seg: 97.6104, aux.loss_ce: 0.0310, aux.acc_seg: 96.9130, loss: 0.0893 2023-02-24 22:20:14,033 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:20:14,036 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 1 day, 5:15:35, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.6250, aux.loss_ce: 0.0329, aux.acc_seg: 96.7560, loss: 0.0917 2023-02-24 22:21:14,462 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 1 day, 5:14:41, time: 1.209, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0633, decode.acc_seg: 97.4335, aux.loss_ce: 0.0334, aux.acc_seg: 96.7020, loss: 0.0966 2023-02-24 22:22:10,989 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 1 day, 5:13:41, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.5922, aux.loss_ce: 0.0323, aux.acc_seg: 96.7809, loss: 0.0914 2023-02-24 22:23:07,619 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 1 day, 5:12:42, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7475, aux.loss_ce: 0.0303, aux.acc_seg: 96.9915, loss: 0.0855 2023-02-24 22:24:08,317 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 1 day, 5:11:47, time: 1.214, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0568, decode.acc_seg: 97.6812, aux.loss_ce: 0.0314, aux.acc_seg: 96.8808, loss: 0.0881 2023-02-24 22:25:04,854 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 1 day, 5:10:48, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0573, decode.acc_seg: 97.6587, aux.loss_ce: 0.0317, aux.acc_seg: 96.8620, loss: 0.0891 2023-02-24 22:26:01,429 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 1 day, 5:09:48, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.7242, aux.loss_ce: 0.0310, aux.acc_seg: 96.9225, loss: 0.0866 2023-02-24 22:26:58,028 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 1 day, 5:08:49, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0594, decode.acc_seg: 97.6359, aux.loss_ce: 0.0324, aux.acc_seg: 96.8200, loss: 0.0918 2023-02-24 22:27:58,342 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 1 day, 5:07:54, time: 1.206, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0603, decode.acc_seg: 97.5579, aux.loss_ce: 0.0324, aux.acc_seg: 96.8007, loss: 0.0927 2023-02-24 22:28:55,020 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 1 day, 5:06:54, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0568, decode.acc_seg: 97.6816, aux.loss_ce: 0.0319, aux.acc_seg: 96.8352, loss: 0.0886 2023-02-24 22:29:51,656 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 1 day, 5:05:55, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4561, aux.loss_ce: 0.0338, aux.acc_seg: 96.6435, loss: 0.0961 2023-02-24 22:30:48,324 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 1 day, 5:04:56, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0593, decode.acc_seg: 97.5927, aux.loss_ce: 0.0324, aux.acc_seg: 96.7736, loss: 0.0917 2023-02-24 22:31:47,839 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 1 day, 5:04:00, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0608, decode.acc_seg: 97.5408, aux.loss_ce: 0.0341, aux.acc_seg: 96.6587, loss: 0.0949 2023-02-24 22:32:44,662 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 1 day, 5:03:01, time: 1.136, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0576, decode.acc_seg: 97.6801, aux.loss_ce: 0.0321, aux.acc_seg: 96.8410, loss: 0.0896 2023-02-24 22:33:41,259 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 1 day, 5:02:01, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5631, aux.loss_ce: 0.0323, aux.acc_seg: 96.7872, loss: 0.0917 2023-02-24 22:34:37,939 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 1 day, 5:01:02, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.5011, aux.loss_ce: 0.0328, aux.acc_seg: 96.7386, loss: 0.0946 2023-02-24 22:35:37,804 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 1 day, 5:00:06, time: 1.197, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0611, decode.acc_seg: 97.5198, aux.loss_ce: 0.0338, aux.acc_seg: 96.6474, loss: 0.0949 2023-02-24 22:36:35,180 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 1 day, 4:59:08, time: 1.148, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0601, decode.acc_seg: 97.5541, aux.loss_ce: 0.0331, aux.acc_seg: 96.6994, loss: 0.0932 2023-02-24 22:37:31,817 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 1 day, 4:58:08, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6677, aux.loss_ce: 0.0331, aux.acc_seg: 96.7543, loss: 0.0912 2023-02-24 22:38:31,457 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 1 day, 4:57:13, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6881, aux.loss_ce: 0.0313, aux.acc_seg: 96.8965, loss: 0.0878 2023-02-24 22:39:28,081 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:39:28,456 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 1 day, 4:56:13, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0599, decode.acc_seg: 97.5486, aux.loss_ce: 0.0323, aux.acc_seg: 96.7739, loss: 0.0922 2023-02-24 22:40:25,244 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 1 day, 4:55:14, time: 1.143, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0590, decode.acc_seg: 97.5818, aux.loss_ce: 0.0317, aux.acc_seg: 96.8290, loss: 0.0907 2023-02-24 22:41:21,908 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 1 day, 4:54:15, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7174, aux.loss_ce: 0.0308, aux.acc_seg: 96.9407, loss: 0.0864 2023-02-24 22:42:21,558 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 1 day, 4:53:19, time: 1.193, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6875, aux.loss_ce: 0.0314, aux.acc_seg: 96.8574, loss: 0.0878 2023-02-24 22:43:18,196 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 1 day, 4:52:20, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5852, aux.loss_ce: 0.0324, aux.acc_seg: 96.7860, loss: 0.0919 2023-02-24 22:44:15,321 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 1 day, 4:51:21, time: 1.143, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.6078, aux.loss_ce: 0.0324, aux.acc_seg: 96.7723, loss: 0.0913 2023-02-24 22:45:11,956 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 1 day, 4:50:22, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.5886, aux.loss_ce: 0.0324, aux.acc_seg: 96.7670, loss: 0.0913 2023-02-24 22:46:12,449 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 1 day, 4:49:27, time: 1.210, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0598, decode.acc_seg: 97.5762, aux.loss_ce: 0.0333, aux.acc_seg: 96.7211, loss: 0.0931 2023-02-24 22:47:09,125 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 1 day, 4:48:28, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0570, decode.acc_seg: 97.6421, aux.loss_ce: 0.0315, aux.acc_seg: 96.8180, loss: 0.0885 2023-02-24 22:48:05,730 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 1 day, 4:47:28, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0579, decode.acc_seg: 97.6315, aux.loss_ce: 0.0327, aux.acc_seg: 96.7457, loss: 0.0907 2023-02-24 22:49:05,995 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 1 day, 4:46:33, time: 1.205, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0578, decode.acc_seg: 97.6378, aux.loss_ce: 0.0313, aux.acc_seg: 96.9048, loss: 0.0892 2023-02-24 22:50:02,613 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 1 day, 4:45:34, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0586, decode.acc_seg: 97.6041, aux.loss_ce: 0.0322, aux.acc_seg: 96.8137, loss: 0.0908 2023-02-24 22:50:59,210 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 1 day, 4:44:34, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6796, aux.loss_ce: 0.0318, aux.acc_seg: 96.8234, loss: 0.0885 2023-02-24 22:51:55,905 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 1 day, 4:43:35, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6228, aux.loss_ce: 0.0314, aux.acc_seg: 96.8798, loss: 0.0896 2023-02-24 22:52:55,570 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 1 day, 4:42:39, time: 1.193, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0585, decode.acc_seg: 97.6218, aux.loss_ce: 0.0312, aux.acc_seg: 96.9006, loss: 0.0897 2023-02-24 22:53:52,175 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 1 day, 4:41:40, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0603, decode.acc_seg: 97.5213, aux.loss_ce: 0.0328, aux.acc_seg: 96.7211, loss: 0.0931 2023-02-24 22:54:48,789 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 1 day, 4:40:41, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7586, aux.loss_ce: 0.0318, aux.acc_seg: 96.8650, loss: 0.0868 2023-02-24 22:55:45,510 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 1 day, 4:39:41, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6379, aux.loss_ce: 0.0327, aux.acc_seg: 96.7767, loss: 0.0909 2023-02-24 22:56:45,042 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 1 day, 4:38:45, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6780, aux.loss_ce: 0.0309, aux.acc_seg: 96.8899, loss: 0.0873 2023-02-24 22:57:41,669 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 1 day, 4:37:46, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0569, decode.acc_seg: 97.6676, aux.loss_ce: 0.0312, aux.acc_seg: 96.8671, loss: 0.0881 2023-02-24 22:58:38,253 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:58:38,253 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 1 day, 4:36:47, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6832, aux.loss_ce: 0.0315, aux.acc_seg: 96.8545, loss: 0.0880 2023-02-24 22:59:35,442 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 1 day, 4:35:48, time: 1.144, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0584, decode.acc_seg: 97.6154, aux.loss_ce: 0.0321, aux.acc_seg: 96.8122, loss: 0.0905 2023-02-24 23:00:35,090 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 1 day, 4:34:52, time: 1.193, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0562, decode.acc_seg: 97.6894, aux.loss_ce: 0.0317, aux.acc_seg: 96.8412, loss: 0.0879 2023-02-24 23:01:31,712 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 1 day, 4:33:53, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0634, decode.acc_seg: 97.4250, aux.loss_ce: 0.0323, aux.acc_seg: 96.8025, loss: 0.0957 2023-02-24 23:02:28,392 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 1 day, 4:32:53, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6135, aux.loss_ce: 0.0328, aux.acc_seg: 96.7306, loss: 0.0910 2023-02-24 23:03:28,460 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 1 day, 4:31:58, time: 1.201, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0570, decode.acc_seg: 97.6655, aux.loss_ce: 0.0315, aux.acc_seg: 96.8567, loss: 0.0885 2023-02-24 23:04:25,445 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 1 day, 4:30:59, time: 1.140, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.7270, aux.loss_ce: 0.0318, aux.acc_seg: 96.8380, loss: 0.0874 2023-02-24 23:05:22,101 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 1 day, 4:30:00, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7298, aux.loss_ce: 0.0313, aux.acc_seg: 96.8939, loss: 0.0870 2023-02-24 23:06:18,860 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 1 day, 4:29:01, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0603, decode.acc_seg: 97.5314, aux.loss_ce: 0.0319, aux.acc_seg: 96.8217, loss: 0.0922 2023-02-24 23:07:19,083 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 1 day, 4:28:06, time: 1.204, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0579, decode.acc_seg: 97.6312, aux.loss_ce: 0.0310, aux.acc_seg: 96.9129, loss: 0.0890 2023-02-24 23:08:15,846 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 1 day, 4:27:06, time: 1.135, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0604, decode.acc_seg: 97.5262, aux.loss_ce: 0.0324, aux.acc_seg: 96.7605, loss: 0.0928 2023-02-24 23:09:12,552 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 1 day, 4:26:07, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0573, decode.acc_seg: 97.6546, aux.loss_ce: 0.0323, aux.acc_seg: 96.7950, loss: 0.0895 2023-02-24 23:10:09,153 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 1 day, 4:25:08, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0577, decode.acc_seg: 97.6269, aux.loss_ce: 0.0320, aux.acc_seg: 96.8128, loss: 0.0898 2023-02-24 23:11:09,106 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 1 day, 4:24:12, time: 1.199, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0562, decode.acc_seg: 97.6975, aux.loss_ce: 0.0310, aux.acc_seg: 96.9113, loss: 0.0872 2023-02-24 23:12:05,824 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 1 day, 4:23:13, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7423, aux.loss_ce: 0.0310, aux.acc_seg: 96.8817, loss: 0.0860 2023-02-24 23:13:02,551 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 1 day, 4:22:14, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0594, decode.acc_seg: 97.5709, aux.loss_ce: 0.0306, aux.acc_seg: 96.9301, loss: 0.0900 2023-02-24 23:14:02,058 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 1 day, 4:21:18, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0586, decode.acc_seg: 97.5697, aux.loss_ce: 0.0322, aux.acc_seg: 96.7578, loss: 0.0909 2023-02-24 23:14:58,762 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 1 day, 4:20:19, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0578, decode.acc_seg: 97.6262, aux.loss_ce: 0.0317, aux.acc_seg: 96.8041, loss: 0.0896 2023-02-24 23:15:55,547 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 1 day, 4:19:20, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5420, aux.loss_ce: 0.0321, aux.acc_seg: 96.7712, loss: 0.0922 2023-02-24 23:16:52,387 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 1 day, 4:18:20, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7626, aux.loss_ce: 0.0309, aux.acc_seg: 96.8957, loss: 0.0856 2023-02-24 23:17:51,913 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:17:51,916 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 1 day, 4:17:25, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6813, aux.loss_ce: 0.0322, aux.acc_seg: 96.7811, loss: 0.0887 2023-02-24 23:18:48,760 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 1 day, 4:16:25, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6604, aux.loss_ce: 0.0323, aux.acc_seg: 96.7772, loss: 0.0896 2023-02-24 23:19:45,441 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 1 day, 4:15:26, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.7013, aux.loss_ce: 0.0318, aux.acc_seg: 96.8572, loss: 0.0881 2023-02-24 23:20:42,201 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 1 day, 4:14:27, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0553, decode.acc_seg: 97.7169, aux.loss_ce: 0.0307, aux.acc_seg: 96.9061, loss: 0.0860 2023-02-24 23:21:41,728 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 1 day, 4:13:31, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0578, decode.acc_seg: 97.6257, aux.loss_ce: 0.0317, aux.acc_seg: 96.8282, loss: 0.0895 2023-02-24 23:22:38,516 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 1 day, 4:12:32, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6345, aux.loss_ce: 0.0314, aux.acc_seg: 96.8652, loss: 0.0894 2023-02-24 23:23:35,510 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 1 day, 4:11:33, time: 1.140, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.6440, aux.loss_ce: 0.0324, aux.acc_seg: 96.8109, loss: 0.0912 2023-02-24 23:24:32,212 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 1 day, 4:10:34, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.7067, aux.loss_ce: 0.0315, aux.acc_seg: 96.8526, loss: 0.0875 2023-02-24 23:25:31,907 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 1 day, 4:09:38, time: 1.194, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0583, decode.acc_seg: 97.6196, aux.loss_ce: 0.0316, aux.acc_seg: 96.8551, loss: 0.0899 2023-02-24 23:26:28,617 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 1 day, 4:08:39, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7176, aux.loss_ce: 0.0312, aux.acc_seg: 96.8887, loss: 0.0869 2023-02-24 23:27:25,632 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 1 day, 4:07:40, time: 1.140, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6788, aux.loss_ce: 0.0313, aux.acc_seg: 96.8691, loss: 0.0879 2023-02-24 23:28:25,599 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 1 day, 4:06:45, time: 1.199, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6233, aux.loss_ce: 0.0321, aux.acc_seg: 96.8210, loss: 0.0902 2023-02-24 23:29:22,413 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 1 day, 4:05:45, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5672, aux.loss_ce: 0.0323, aux.acc_seg: 96.8108, loss: 0.0923 2023-02-24 23:30:19,161 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 1 day, 4:04:46, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6281, aux.loss_ce: 0.0312, aux.acc_seg: 96.8932, loss: 0.0891 2023-02-24 23:31:15,949 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 1 day, 4:03:47, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6710, aux.loss_ce: 0.0312, aux.acc_seg: 96.8945, loss: 0.0884 2023-02-24 23:32:15,558 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 1 day, 4:02:51, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6466, aux.loss_ce: 0.0305, aux.acc_seg: 96.9409, loss: 0.0877 2023-02-24 23:33:12,197 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 1 day, 4:01:52, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6763, aux.loss_ce: 0.0323, aux.acc_seg: 96.7987, loss: 0.0889 2023-02-24 23:34:08,882 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 1 day, 4:00:53, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0579, decode.acc_seg: 97.6432, aux.loss_ce: 0.0323, aux.acc_seg: 96.7974, loss: 0.0902 2023-02-24 23:35:05,710 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 1 day, 3:59:54, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6196, aux.loss_ce: 0.0319, aux.acc_seg: 96.8143, loss: 0.0899 2023-02-24 23:36:05,228 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 1 day, 3:58:58, time: 1.190, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6102, aux.loss_ce: 0.0315, aux.acc_seg: 96.8595, loss: 0.0898 2023-02-24 23:37:01,947 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:37:01,950 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 1 day, 3:57:59, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7512, aux.loss_ce: 0.0301, aux.acc_seg: 96.9818, loss: 0.0848 2023-02-24 23:37:58,764 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 1 day, 3:56:59, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0594, decode.acc_seg: 97.5738, aux.loss_ce: 0.0328, aux.acc_seg: 96.7404, loss: 0.0922 2023-02-24 23:38:58,692 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 1 day, 3:56:04, time: 1.199, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0553, decode.acc_seg: 97.7248, aux.loss_ce: 0.0311, aux.acc_seg: 96.8787, loss: 0.0864 2023-02-24 23:39:55,789 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 1 day, 3:55:05, time: 1.142, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0576, decode.acc_seg: 97.6509, aux.loss_ce: 0.0317, aux.acc_seg: 96.8444, loss: 0.0893 2023-02-24 23:40:52,590 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 1 day, 3:54:06, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0583, decode.acc_seg: 97.5994, aux.loss_ce: 0.0314, aux.acc_seg: 96.8633, loss: 0.0897 2023-02-24 23:41:49,330 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 1 day, 3:53:07, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0549, decode.acc_seg: 97.7622, aux.loss_ce: 0.0309, aux.acc_seg: 96.9140, loss: 0.0858 2023-02-24 23:42:48,955 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 1 day, 3:52:11, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.7271, aux.loss_ce: 0.0316, aux.acc_seg: 96.8518, loss: 0.0872 2023-02-24 23:43:45,879 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 1 day, 3:51:12, time: 1.138, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0601, decode.acc_seg: 97.5528, aux.loss_ce: 0.0325, aux.acc_seg: 96.7834, loss: 0.0926 2023-02-24 23:44:42,678 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 1 day, 3:50:13, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6307, aux.loss_ce: 0.0316, aux.acc_seg: 96.8486, loss: 0.0896 2023-02-24 23:45:39,449 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 1 day, 3:49:14, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.7422, aux.loss_ce: 0.0312, aux.acc_seg: 96.9097, loss: 0.0872 2023-02-24 23:46:39,574 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 1 day, 3:48:19, time: 1.203, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.6879, aux.loss_ce: 0.0317, aux.acc_seg: 96.8271, loss: 0.0880 2023-02-24 23:47:36,266 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 1 day, 3:47:20, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0569, decode.acc_seg: 97.6698, aux.loss_ce: 0.0308, aux.acc_seg: 96.9311, loss: 0.0877 2023-02-24 23:48:32,985 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 1 day, 3:46:20, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6885, aux.loss_ce: 0.0323, aux.acc_seg: 96.7841, loss: 0.0888 2023-02-24 23:49:29,765 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 1 day, 3:45:21, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6505, aux.loss_ce: 0.0322, aux.acc_seg: 96.8184, loss: 0.0896 2023-02-24 23:50:30,018 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 1 day, 3:44:26, time: 1.205, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0579, decode.acc_seg: 97.6374, aux.loss_ce: 0.0322, aux.acc_seg: 96.7950, loss: 0.0901 2023-02-24 23:51:26,762 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 1 day, 3:43:27, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0589, decode.acc_seg: 97.5722, aux.loss_ce: 0.0322, aux.acc_seg: 96.7781, loss: 0.0911 2023-02-24 23:52:23,452 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 1 day, 3:42:28, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6236, aux.loss_ce: 0.0307, aux.acc_seg: 96.9321, loss: 0.0887 2023-02-24 23:53:23,085 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 1 day, 3:41:32, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.6999, aux.loss_ce: 0.0306, aux.acc_seg: 96.9452, loss: 0.0866 2023-02-24 23:54:19,697 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 1 day, 3:40:33, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0568, decode.acc_seg: 97.6942, aux.loss_ce: 0.0315, aux.acc_seg: 96.8933, loss: 0.0883 2023-02-24 23:55:16,337 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 1 day, 3:39:33, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6301, aux.loss_ce: 0.0317, aux.acc_seg: 96.8594, loss: 0.0898 2023-02-24 23:56:12,979 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:56:12,982 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 1 day, 3:38:34, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.7008, aux.loss_ce: 0.0304, aux.acc_seg: 96.9460, loss: 0.0863 2023-02-24 23:57:12,476 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 1 day, 3:37:38, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0575, decode.acc_seg: 97.6335, aux.loss_ce: 0.0310, aux.acc_seg: 96.8922, loss: 0.0886 2023-02-24 23:58:09,227 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 1 day, 3:36:39, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7739, aux.loss_ce: 0.0311, aux.acc_seg: 96.9028, loss: 0.0858 2023-02-24 23:59:06,253 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 1 day, 3:35:40, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0570, decode.acc_seg: 97.6660, aux.loss_ce: 0.0311, aux.acc_seg: 96.8992, loss: 0.0880 2023-02-25 00:00:02,892 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 1 day, 3:34:41, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0584, decode.acc_seg: 97.6200, aux.loss_ce: 0.0317, aux.acc_seg: 96.8361, loss: 0.0901 2023-02-25 00:01:02,474 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 1 day, 3:33:45, time: 1.191, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0579, decode.acc_seg: 97.6415, aux.loss_ce: 0.0313, aux.acc_seg: 96.8862, loss: 0.0892 2023-02-25 00:01:59,132 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 1 day, 3:32:46, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6599, aux.loss_ce: 0.0309, aux.acc_seg: 96.9038, loss: 0.0876 2023-02-25 00:02:56,257 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 1 day, 3:31:47, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6709, aux.loss_ce: 0.0307, aux.acc_seg: 96.9621, loss: 0.0879 2023-02-25 00:03:52,923 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 1 day, 3:30:48, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0570, decode.acc_seg: 97.6748, aux.loss_ce: 0.0317, aux.acc_seg: 96.8575, loss: 0.0887 2023-02-25 00:04:52,552 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 1 day, 3:29:52, time: 1.193, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6795, aux.loss_ce: 0.0313, aux.acc_seg: 96.8634, loss: 0.0878 2023-02-25 00:05:49,210 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 1 day, 3:28:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.7186, aux.loss_ce: 0.0319, aux.acc_seg: 96.8412, loss: 0.0879 2023-02-25 00:06:46,382 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 1 day, 3:27:54, time: 1.143, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6171, aux.loss_ce: 0.0319, aux.acc_seg: 96.8053, loss: 0.0901 2023-02-25 00:07:46,545 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 1 day, 3:26:59, time: 1.203, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0585, decode.acc_seg: 97.6012, aux.loss_ce: 0.0308, aux.acc_seg: 96.9234, loss: 0.0893 2023-02-25 00:08:43,184 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 1 day, 3:26:00, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6789, aux.loss_ce: 0.0304, aux.acc_seg: 96.9571, loss: 0.0871 2023-02-25 00:09:39,880 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 1 day, 3:25:01, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0593, decode.acc_seg: 97.5662, aux.loss_ce: 0.0320, aux.acc_seg: 96.8081, loss: 0.0913 2023-02-25 00:10:36,616 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 1 day, 3:24:01, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0664, decode.acc_seg: 97.3769, aux.loss_ce: 0.0354, aux.acc_seg: 96.5815, loss: 0.1018 2023-02-25 00:11:36,778 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 1 day, 3:23:06, time: 1.203, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0617, decode.acc_seg: 97.5014, aux.loss_ce: 0.0337, aux.acc_seg: 96.6997, loss: 0.0954 2023-02-25 00:12:33,427 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 1 day, 3:22:07, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0583, decode.acc_seg: 97.6182, aux.loss_ce: 0.0325, aux.acc_seg: 96.7732, loss: 0.0908 2023-02-25 00:13:30,088 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 1 day, 3:21:08, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0595, decode.acc_seg: 97.5660, aux.loss_ce: 0.0328, aux.acc_seg: 96.7271, loss: 0.0924 2023-02-25 00:14:26,747 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 1 day, 3:20:09, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5618, aux.loss_ce: 0.0324, aux.acc_seg: 96.8268, loss: 0.0924 2023-02-25 00:15:26,196 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:15:26,199 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 1 day, 3:19:12, time: 1.189, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7619, aux.loss_ce: 0.0312, aux.acc_seg: 96.8904, loss: 0.0857 2023-02-25 00:16:22,971 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 1 day, 3:18:13, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0561, decode.acc_seg: 97.7060, aux.loss_ce: 0.0324, aux.acc_seg: 96.7883, loss: 0.0886 2023-02-25 00:17:19,700 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 1 day, 3:17:14, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0577, decode.acc_seg: 97.6293, aux.loss_ce: 0.0317, aux.acc_seg: 96.8273, loss: 0.0893 2023-02-25 00:18:19,518 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 1 day, 3:16:19, time: 1.197, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5537, aux.loss_ce: 0.0315, aux.acc_seg: 96.8704, loss: 0.0915 2023-02-25 00:19:16,587 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 1 day, 3:15:20, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7766, aux.loss_ce: 0.0300, aux.acc_seg: 97.0071, loss: 0.0846 2023-02-25 00:20:13,249 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 1 day, 3:14:21, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6914, aux.loss_ce: 0.0307, aux.acc_seg: 96.9501, loss: 0.0875 2023-02-25 00:21:09,849 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 1 day, 3:13:21, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7032, aux.loss_ce: 0.0310, aux.acc_seg: 96.8490, loss: 0.0865 2023-02-25 00:22:09,494 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 1 day, 3:12:26, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7257, aux.loss_ce: 0.0325, aux.acc_seg: 96.7825, loss: 0.0880 2023-02-25 00:23:06,566 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 1 day, 3:11:27, time: 1.141, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.5913, aux.loss_ce: 0.0314, aux.acc_seg: 96.8693, loss: 0.0902 2023-02-25 00:24:03,254 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 1 day, 3:10:28, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6217, aux.loss_ce: 0.0321, aux.acc_seg: 96.7934, loss: 0.0901 2023-02-25 00:24:59,986 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 1 day, 3:09:29, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0562, decode.acc_seg: 97.6870, aux.loss_ce: 0.0309, aux.acc_seg: 96.9158, loss: 0.0870 2023-02-25 00:25:59,602 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 1 day, 3:08:33, time: 1.192, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6230, aux.loss_ce: 0.0310, aux.acc_seg: 96.8967, loss: 0.0892 2023-02-25 00:26:56,706 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 1 day, 3:07:34, time: 1.142, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.8160, aux.loss_ce: 0.0299, aux.acc_seg: 96.9958, loss: 0.0831 2023-02-25 00:27:53,350 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 1 day, 3:06:35, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0587, decode.acc_seg: 97.6046, aux.loss_ce: 0.0323, aux.acc_seg: 96.7737, loss: 0.0911 2023-02-25 00:28:49,987 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 1 day, 3:05:36, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0577, decode.acc_seg: 97.6318, aux.loss_ce: 0.0316, aux.acc_seg: 96.8491, loss: 0.0892 2023-02-25 00:29:50,050 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 1 day, 3:04:40, time: 1.201, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6772, aux.loss_ce: 0.0311, aux.acc_seg: 96.9066, loss: 0.0878 2023-02-25 00:30:46,747 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 1 day, 3:03:41, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7161, aux.loss_ce: 0.0310, aux.acc_seg: 96.9056, loss: 0.0867 2023-02-25 00:31:43,390 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 1 day, 3:02:42, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7266, aux.loss_ce: 0.0307, aux.acc_seg: 96.9231, loss: 0.0862 2023-02-25 00:32:42,876 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 1 day, 3:01:46, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6959, aux.loss_ce: 0.0313, aux.acc_seg: 96.9199, loss: 0.0878 2023-02-25 00:33:39,585 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 1 day, 3:00:47, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7654, aux.loss_ce: 0.0312, aux.acc_seg: 96.8895, loss: 0.0859 2023-02-25 00:34:36,615 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:34:36,618 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 1 day, 2:59:48, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0568, decode.acc_seg: 97.6733, aux.loss_ce: 0.0314, aux.acc_seg: 96.8778, loss: 0.0882 2023-02-25 00:35:33,258 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 1 day, 2:58:49, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.6934, aux.loss_ce: 0.0309, aux.acc_seg: 96.9233, loss: 0.0872 2023-02-25 00:36:32,817 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 1 day, 2:57:53, time: 1.191, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6749, aux.loss_ce: 0.0306, aux.acc_seg: 96.9340, loss: 0.0871 2023-02-25 00:37:29,468 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 1 day, 2:56:54, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0568, decode.acc_seg: 97.6677, aux.loss_ce: 0.0314, aux.acc_seg: 96.8650, loss: 0.0882 2023-02-25 00:38:26,143 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 1 day, 2:55:55, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0581, decode.acc_seg: 97.6194, aux.loss_ce: 0.0318, aux.acc_seg: 96.8292, loss: 0.0898 2023-02-25 00:39:22,829 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 1 day, 2:54:55, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0561, decode.acc_seg: 97.6829, aux.loss_ce: 0.0307, aux.acc_seg: 96.9309, loss: 0.0868 2023-02-25 00:40:22,455 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 1 day, 2:54:00, time: 1.192, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7261, aux.loss_ce: 0.0302, aux.acc_seg: 96.9814, loss: 0.0859 2023-02-25 00:41:19,229 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 1 day, 2:53:01, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6755, aux.loss_ce: 0.0303, aux.acc_seg: 96.9546, loss: 0.0867 2023-02-25 00:42:15,912 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 1 day, 2:52:01, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.5924, aux.loss_ce: 0.0318, aux.acc_seg: 96.8361, loss: 0.0908 2023-02-25 00:43:15,729 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 1 day, 2:51:06, time: 1.196, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6908, aux.loss_ce: 0.0305, aux.acc_seg: 96.9451, loss: 0.0870 2023-02-25 00:44:12,384 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 1 day, 2:50:07, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0592, decode.acc_seg: 97.5790, aux.loss_ce: 0.0331, aux.acc_seg: 96.7325, loss: 0.0923 2023-02-25 00:45:09,222 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 1 day, 2:49:08, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0623, decode.acc_seg: 97.4717, aux.loss_ce: 0.0326, aux.acc_seg: 96.7846, loss: 0.0948 2023-02-25 00:46:05,804 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 1 day, 2:48:08, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0537, decode.acc_seg: 97.7963, aux.loss_ce: 0.0300, aux.acc_seg: 96.9969, loss: 0.0837 2023-02-25 00:47:05,934 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 1 day, 2:47:13, time: 1.203, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6877, aux.loss_ce: 0.0314, aux.acc_seg: 96.8612, loss: 0.0879 2023-02-25 00:48:02,570 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 1 day, 2:46:14, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7082, aux.loss_ce: 0.0309, aux.acc_seg: 96.9204, loss: 0.0866 2023-02-25 00:48:59,224 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 1 day, 2:45:15, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6336, aux.loss_ce: 0.0316, aux.acc_seg: 96.8519, loss: 0.0890 2023-02-25 00:49:55,942 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 1 day, 2:44:16, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6860, aux.loss_ce: 0.0305, aux.acc_seg: 96.9582, loss: 0.0871 2023-02-25 00:50:55,453 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 1 day, 2:43:20, time: 1.190, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0553, decode.acc_seg: 97.7165, aux.loss_ce: 0.0301, aux.acc_seg: 96.9953, loss: 0.0854 2023-02-25 00:51:52,166 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 1 day, 2:42:20, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6644, aux.loss_ce: 0.0308, aux.acc_seg: 96.9140, loss: 0.0876 2023-02-25 00:52:48,919 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 1 day, 2:41:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0570, decode.acc_seg: 97.6647, aux.loss_ce: 0.0302, aux.acc_seg: 96.9790, loss: 0.0872 2023-02-25 00:53:45,697 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:53:45,707 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 1 day, 2:40:22, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6764, aux.loss_ce: 0.0316, aux.acc_seg: 96.8275, loss: 0.0883 2023-02-25 00:54:45,285 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 1 day, 2:39:26, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7803, aux.loss_ce: 0.0291, aux.acc_seg: 97.0987, loss: 0.0830 2023-02-25 00:55:42,126 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 1 day, 2:38:28, time: 1.137, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.6922, aux.loss_ce: 0.0317, aux.acc_seg: 96.7966, loss: 0.0875 2023-02-25 00:56:38,802 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 1 day, 2:37:28, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6991, aux.loss_ce: 0.0305, aux.acc_seg: 96.9348, loss: 0.0864 2023-02-25 00:57:38,365 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 1 day, 2:36:32, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6574, aux.loss_ce: 0.0308, aux.acc_seg: 96.9196, loss: 0.0880 2023-02-25 00:58:35,025 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 1 day, 2:35:33, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6627, aux.loss_ce: 0.0308, aux.acc_seg: 96.9034, loss: 0.0874 2023-02-25 00:59:32,328 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 1 day, 2:34:35, time: 1.146, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0573, decode.acc_seg: 97.6551, aux.loss_ce: 0.0304, aux.acc_seg: 96.9576, loss: 0.0876 2023-02-25 01:00:29,054 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 1 day, 2:33:36, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6478, aux.loss_ce: 0.0311, aux.acc_seg: 96.8890, loss: 0.0885 2023-02-25 01:01:28,876 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 1 day, 2:32:40, time: 1.196, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0665, decode.acc_seg: 97.4007, aux.loss_ce: 0.0327, aux.acc_seg: 96.7369, loss: 0.0992 2023-02-25 01:02:25,533 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 1 day, 2:31:41, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0600, decode.acc_seg: 97.5690, aux.loss_ce: 0.0325, aux.acc_seg: 96.7863, loss: 0.0926 2023-02-25 01:03:22,406 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 1 day, 2:30:42, time: 1.138, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6997, aux.loss_ce: 0.0308, aux.acc_seg: 96.9185, loss: 0.0867 2023-02-25 01:04:18,997 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 1 day, 2:29:43, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.7027, aux.loss_ce: 0.0308, aux.acc_seg: 96.9246, loss: 0.0868 2023-02-25 01:05:19,415 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 1 day, 2:28:48, time: 1.208, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6411, aux.loss_ce: 0.0316, aux.acc_seg: 96.8792, loss: 0.0895 2023-02-25 01:06:16,093 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 1 day, 2:27:49, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.8395, aux.loss_ce: 0.0305, aux.acc_seg: 96.9921, loss: 0.0839 2023-02-25 01:07:12,795 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 1 day, 2:26:50, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.6623, aux.loss_ce: 0.0310, aux.acc_seg: 96.8787, loss: 0.0873 2023-02-25 01:08:12,536 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 1 day, 2:25:54, time: 1.195, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0553, decode.acc_seg: 97.7213, aux.loss_ce: 0.0305, aux.acc_seg: 96.9338, loss: 0.0858 2023-02-25 01:09:09,283 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 1 day, 2:24:55, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6098, aux.loss_ce: 0.0315, aux.acc_seg: 96.8349, loss: 0.0896 2023-02-25 01:10:05,990 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 1 day, 2:23:56, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6058, aux.loss_ce: 0.0306, aux.acc_seg: 96.9228, loss: 0.0888 2023-02-25 01:11:02,755 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 1 day, 2:22:57, time: 1.135, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6414, aux.loss_ce: 0.0310, aux.acc_seg: 96.8915, loss: 0.0891 2023-02-25 01:12:02,411 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 1 day, 2:22:01, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7328, aux.loss_ce: 0.0310, aux.acc_seg: 96.9131, loss: 0.0862 2023-02-25 01:12:59,105 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:12:59,113 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 1 day, 2:21:02, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0576, decode.acc_seg: 97.6382, aux.loss_ce: 0.0312, aux.acc_seg: 96.8843, loss: 0.0888 2023-02-25 01:13:55,805 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 1 day, 2:20:03, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7222, aux.loss_ce: 0.0302, aux.acc_seg: 96.9788, loss: 0.0856 2023-02-25 01:14:52,701 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 1 day, 2:19:04, time: 1.138, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.6839, aux.loss_ce: 0.0307, aux.acc_seg: 96.9169, loss: 0.0865 2023-02-25 01:15:52,229 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 1 day, 2:18:08, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0544, decode.acc_seg: 97.7677, aux.loss_ce: 0.0305, aux.acc_seg: 96.9439, loss: 0.0849 2023-02-25 01:16:48,904 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 1 day, 2:17:09, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0591, decode.acc_seg: 97.5739, aux.loss_ce: 0.0315, aux.acc_seg: 96.8300, loss: 0.0906 2023-02-25 01:17:45,569 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 1 day, 2:16:10, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7510, aux.loss_ce: 0.0306, aux.acc_seg: 96.9374, loss: 0.0857 2023-02-25 01:18:42,803 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 1 day, 2:15:11, time: 1.144, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0578, decode.acc_seg: 97.6198, aux.loss_ce: 0.0315, aux.acc_seg: 96.8322, loss: 0.0893 2023-02-25 01:19:42,311 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 1 day, 2:14:15, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7691, aux.loss_ce: 0.0309, aux.acc_seg: 96.9328, loss: 0.0852 2023-02-25 01:20:38,965 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 1 day, 2:13:16, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6287, aux.loss_ce: 0.0314, aux.acc_seg: 96.8493, loss: 0.0888 2023-02-25 01:21:35,668 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 1 day, 2:12:17, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7378, aux.loss_ce: 0.0302, aux.acc_seg: 96.9741, loss: 0.0852 2023-02-25 01:22:36,110 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 1 day, 2:11:22, time: 1.209, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0588, decode.acc_seg: 97.5846, aux.loss_ce: 0.0321, aux.acc_seg: 96.7778, loss: 0.0910 2023-02-25 01:23:32,881 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 1 day, 2:10:23, time: 1.135, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7882, aux.loss_ce: 0.0302, aux.acc_seg: 96.9703, loss: 0.0842 2023-02-25 01:24:29,542 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 1 day, 2:09:24, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6875, aux.loss_ce: 0.0306, aux.acc_seg: 96.9445, loss: 0.0871 2023-02-25 01:25:26,210 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 1 day, 2:08:25, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0561, decode.acc_seg: 97.6993, aux.loss_ce: 0.0305, aux.acc_seg: 96.9594, loss: 0.0866 2023-02-25 01:26:26,832 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 1 day, 2:07:30, time: 1.213, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0580, decode.acc_seg: 97.6033, aux.loss_ce: 0.0308, aux.acc_seg: 96.8840, loss: 0.0888 2023-02-25 01:27:23,569 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 1 day, 2:06:31, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7073, aux.loss_ce: 0.0313, aux.acc_seg: 96.8728, loss: 0.0868 2023-02-25 01:28:20,288 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 1 day, 2:05:32, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.7319, aux.loss_ce: 0.0310, aux.acc_seg: 96.9040, loss: 0.0865 2023-02-25 01:29:17,053 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 1 day, 2:04:33, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0532, decode.acc_seg: 97.7902, aux.loss_ce: 0.0292, aux.acc_seg: 97.0425, loss: 0.0824 2023-02-25 01:30:17,768 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 1 day, 2:03:38, time: 1.214, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6860, aux.loss_ce: 0.0307, aux.acc_seg: 96.9332, loss: 0.0872 2023-02-25 01:31:14,552 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 1 day, 2:02:39, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7060, aux.loss_ce: 0.0305, aux.acc_seg: 96.9339, loss: 0.0862 2023-02-25 01:32:11,250 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:32:11,250 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 1 day, 2:01:40, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.7006, aux.loss_ce: 0.0303, aux.acc_seg: 96.9566, loss: 0.0862 2023-02-25 01:33:08,272 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 1 day, 2:00:41, time: 1.140, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0553, decode.acc_seg: 97.7172, aux.loss_ce: 0.0294, aux.acc_seg: 97.0359, loss: 0.0847 2023-02-25 01:34:09,103 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 1 day, 1:59:47, time: 1.217, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.6981, aux.loss_ce: 0.0307, aux.acc_seg: 96.9057, loss: 0.0861 2023-02-25 01:35:05,858 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 1 day, 1:58:48, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8101, aux.loss_ce: 0.0297, aux.acc_seg: 97.0185, loss: 0.0826 2023-02-25 01:36:03,222 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 1 day, 1:57:49, time: 1.147, data_time: 0.025, memory: 27881, decode.loss_ce: 0.0569, decode.acc_seg: 97.6574, aux.loss_ce: 0.0308, aux.acc_seg: 96.9216, loss: 0.0877 2023-02-25 01:37:03,482 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 1 day, 1:56:54, time: 1.205, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7138, aux.loss_ce: 0.0307, aux.acc_seg: 96.9442, loss: 0.0862 2023-02-25 01:38:00,223 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 1 day, 1:55:55, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8455, aux.loss_ce: 0.0291, aux.acc_seg: 97.0629, loss: 0.0813 2023-02-25 01:38:57,014 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 1 day, 1:54:56, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.6833, aux.loss_ce: 0.0301, aux.acc_seg: 96.9607, loss: 0.0862 2023-02-25 01:39:53,833 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 1 day, 1:53:57, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6676, aux.loss_ce: 0.0307, aux.acc_seg: 96.9420, loss: 0.0874 2023-02-25 01:40:54,385 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 1 day, 1:53:02, time: 1.211, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7615, aux.loss_ce: 0.0311, aux.acc_seg: 96.8907, loss: 0.0857 2023-02-25 01:41:51,157 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 1 day, 1:52:03, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8305, aux.loss_ce: 0.0291, aux.acc_seg: 97.0601, loss: 0.0814 2023-02-25 01:42:48,493 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 1 day, 1:51:05, time: 1.147, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7480, aux.loss_ce: 0.0309, aux.acc_seg: 96.9071, loss: 0.0856 2023-02-25 01:43:45,364 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 1 day, 1:50:06, time: 1.138, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0586, decode.acc_seg: 97.5959, aux.loss_ce: 0.0313, aux.acc_seg: 96.8496, loss: 0.0899 2023-02-25 01:44:45,391 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 1 day, 1:49:10, time: 1.200, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7380, aux.loss_ce: 0.0294, aux.acc_seg: 97.0482, loss: 0.0843 2023-02-25 01:45:42,175 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 1 day, 1:48:12, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7703, aux.loss_ce: 0.0303, aux.acc_seg: 96.9709, loss: 0.0848 2023-02-25 01:46:38,944 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 1 day, 1:47:13, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.6941, aux.loss_ce: 0.0303, aux.acc_seg: 96.9561, loss: 0.0863 2023-02-25 01:47:39,528 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 1 day, 1:46:18, time: 1.212, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7132, aux.loss_ce: 0.0303, aux.acc_seg: 96.9594, loss: 0.0858 2023-02-25 01:48:36,147 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 1 day, 1:45:19, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7959, aux.loss_ce: 0.0298, aux.acc_seg: 97.0273, loss: 0.0836 2023-02-25 01:49:33,339 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 1 day, 1:44:20, time: 1.144, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7767, aux.loss_ce: 0.0297, aux.acc_seg: 96.9941, loss: 0.0830 2023-02-25 01:50:30,009 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 1 day, 1:43:21, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7227, aux.loss_ce: 0.0310, aux.acc_seg: 96.9045, loss: 0.0865 2023-02-25 01:51:30,595 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-02-25 01:51:34,001 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:51:34,003 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 1 day, 1:42:29, time: 1.280, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.6694, aux.loss_ce: 0.0301, aux.acc_seg: 96.9522, loss: 0.0864 2023-02-25 01:52:44,189 - mmseg - INFO - per class results: 2023-02-25 01:52:44,208 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.61 | 99.33 | | sidewalk | 88.03 | 93.42 | | building | 93.62 | 97.15 | | wall | 61.83 | 66.44 | | fence | 66.54 | 72.9 | | pole | 71.04 | 83.83 | | traffic light | 75.58 | 88.0 | | traffic sign | 83.55 | 89.05 | | vegetation | 93.27 | 96.66 | | terrain | 67.66 | 76.21 | | sky | 95.08 | 98.76 | | person | 85.51 | 93.53 | | rider | 68.02 | 76.22 | | car | 96.2 | 98.42 | | truck | 88.61 | 92.48 | | bus | 92.34 | 95.57 | | train | 86.28 | 88.34 | | motorcycle | 72.47 | 83.72 | | bicycle | 81.23 | 92.29 | +---------------+-------+-------+ 2023-02-25 01:52:44,209 - mmseg - INFO - Summary: 2023-02-25 01:52:44,209 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.79 | 82.39 | 88.54 | +-------+-------+-------+ 2023-02-25 01:52:44,210 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:52:44,210 - mmseg - INFO - Iter(val) [125] aAcc: 0.9679, mIoU: 0.8239, mAcc: 0.8854, IoU.road: 0.9861, IoU.sidewalk: 0.8803, IoU.building: 0.9362, IoU.wall: 0.6183, IoU.fence: 0.6654, IoU.pole: 0.7104, IoU.traffic light: 0.7558, IoU.traffic sign: 0.8355, IoU.vegetation: 0.9327, IoU.terrain: 0.6766, IoU.sky: 0.9508, IoU.person: 0.8551, IoU.rider: 0.6802, IoU.car: 0.9620, IoU.truck: 0.8861, IoU.bus: 0.9234, IoU.train: 0.8628, IoU.motorcycle: 0.7247, IoU.bicycle: 0.8123, Acc.road: 0.9933, Acc.sidewalk: 0.9342, Acc.building: 0.9715, Acc.wall: 0.6644, Acc.fence: 0.7290, Acc.pole: 0.8383, Acc.traffic light: 0.8800, Acc.traffic sign: 0.8905, Acc.vegetation: 0.9666, Acc.terrain: 0.7621, Acc.sky: 0.9876, Acc.person: 0.9353, Acc.rider: 0.7622, Acc.car: 0.9842, Acc.truck: 0.9248, Acc.bus: 0.9557, Acc.train: 0.8834, Acc.motorcycle: 0.8372, Acc.bicycle: 0.9229 2023-02-25 01:53:40,881 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 1 day, 1:42:40, time: 2.538, data_time: 1.416, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7176, aux.loss_ce: 0.0304, aux.acc_seg: 96.9488, loss: 0.0859 2023-02-25 01:54:37,640 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 1 day, 1:41:41, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7754, aux.loss_ce: 0.0299, aux.acc_seg: 97.0062, loss: 0.0844 2023-02-25 01:55:34,383 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 1 day, 1:40:42, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7882, aux.loss_ce: 0.0293, aux.acc_seg: 97.0624, loss: 0.0829 2023-02-25 01:56:34,170 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 1 day, 1:39:46, time: 1.196, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7317, aux.loss_ce: 0.0305, aux.acc_seg: 96.9455, loss: 0.0855 2023-02-25 01:57:30,902 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 1 day, 1:38:47, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7277, aux.loss_ce: 0.0301, aux.acc_seg: 96.9884, loss: 0.0856 2023-02-25 01:58:27,654 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 1 day, 1:37:48, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.8012, aux.loss_ce: 0.0297, aux.acc_seg: 97.0225, loss: 0.0830 2023-02-25 01:59:24,305 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 1 day, 1:36:49, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6713, aux.loss_ce: 0.0311, aux.acc_seg: 96.8734, loss: 0.0875 2023-02-25 02:00:24,119 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 1 day, 1:35:53, time: 1.196, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0578, decode.acc_seg: 97.6268, aux.loss_ce: 0.0311, aux.acc_seg: 96.8937, loss: 0.0889 2023-02-25 02:01:20,858 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 1 day, 1:34:54, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0568, decode.acc_seg: 97.6812, aux.loss_ce: 0.0308, aux.acc_seg: 96.9215, loss: 0.0877 2023-02-25 02:02:17,509 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 1 day, 1:33:55, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8313, aux.loss_ce: 0.0298, aux.acc_seg: 97.0103, loss: 0.0824 2023-02-25 02:03:17,140 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 1 day, 1:32:59, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.6845, aux.loss_ce: 0.0308, aux.acc_seg: 96.9076, loss: 0.0865 2023-02-25 02:04:13,764 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 1 day, 1:32:00, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6857, aux.loss_ce: 0.0306, aux.acc_seg: 96.9276, loss: 0.0864 2023-02-25 02:05:10,445 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 1 day, 1:31:01, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0544, decode.acc_seg: 97.7787, aux.loss_ce: 0.0297, aux.acc_seg: 97.0423, loss: 0.0841 2023-02-25 02:06:07,090 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 1 day, 1:30:02, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.6993, aux.loss_ce: 0.0312, aux.acc_seg: 96.8945, loss: 0.0872 2023-02-25 02:07:07,534 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 1 day, 1:29:06, time: 1.209, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0532, decode.acc_seg: 97.8190, aux.loss_ce: 0.0298, aux.acc_seg: 97.0226, loss: 0.0830 2023-02-25 02:08:04,313 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 1 day, 1:28:07, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6768, aux.loss_ce: 0.0309, aux.acc_seg: 96.9175, loss: 0.0876 2023-02-25 02:09:01,000 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 1 day, 1:27:08, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0573, decode.acc_seg: 97.6246, aux.loss_ce: 0.0310, aux.acc_seg: 96.8841, loss: 0.0883 2023-02-25 02:09:57,610 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 1 day, 1:26:09, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0572, decode.acc_seg: 97.6622, aux.loss_ce: 0.0315, aux.acc_seg: 96.8556, loss: 0.0887 2023-02-25 02:10:57,980 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 1 day, 1:25:14, time: 1.207, data_time: 0.085, memory: 27881, decode.loss_ce: 0.0579, decode.acc_seg: 97.6425, aux.loss_ce: 0.0310, aux.acc_seg: 96.8997, loss: 0.0890 2023-02-25 02:11:54,638 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:11:54,638 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 1 day, 1:24:15, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0577, decode.acc_seg: 97.6298, aux.loss_ce: 0.0309, aux.acc_seg: 96.9092, loss: 0.0886 2023-02-25 02:12:51,232 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 1 day, 1:23:15, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7473, aux.loss_ce: 0.0313, aux.acc_seg: 96.8568, loss: 0.0860 2023-02-25 02:13:50,939 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 1 day, 1:22:19, time: 1.194, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0575, decode.acc_seg: 97.6492, aux.loss_ce: 0.0316, aux.acc_seg: 96.8556, loss: 0.0891 2023-02-25 02:14:47,543 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 1 day, 1:21:20, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.7229, aux.loss_ce: 0.0301, aux.acc_seg: 97.0096, loss: 0.0860 2023-02-25 02:15:44,208 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 1 day, 1:20:21, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0567, decode.acc_seg: 97.6863, aux.loss_ce: 0.0312, aux.acc_seg: 96.8762, loss: 0.0879 2023-02-25 02:16:40,787 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 1 day, 1:19:22, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.8055, aux.loss_ce: 0.0295, aux.acc_seg: 97.0510, loss: 0.0828 2023-02-25 02:17:40,337 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 1 day, 1:18:26, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0537, decode.acc_seg: 97.7845, aux.loss_ce: 0.0307, aux.acc_seg: 96.9287, loss: 0.0844 2023-02-25 02:18:36,963 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 1 day, 1:17:27, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6713, aux.loss_ce: 0.0312, aux.acc_seg: 96.8925, loss: 0.0878 2023-02-25 02:19:33,789 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 1 day, 1:16:28, time: 1.136, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7284, aux.loss_ce: 0.0306, aux.acc_seg: 96.9369, loss: 0.0854 2023-02-25 02:20:30,409 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 1 day, 1:15:29, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7413, aux.loss_ce: 0.0298, aux.acc_seg: 96.9988, loss: 0.0847 2023-02-25 02:21:29,959 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 1 day, 1:14:32, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6752, aux.loss_ce: 0.0307, aux.acc_seg: 96.9172, loss: 0.0871 2023-02-25 02:22:26,598 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 1 day, 1:13:33, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0574, decode.acc_seg: 97.6898, aux.loss_ce: 0.0305, aux.acc_seg: 96.9699, loss: 0.0878 2023-02-25 02:23:23,931 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 1 day, 1:12:35, time: 1.147, data_time: 0.025, memory: 27881, decode.loss_ce: 0.0577, decode.acc_seg: 97.6411, aux.loss_ce: 0.0311, aux.acc_seg: 96.9028, loss: 0.0888 2023-02-25 02:24:20,588 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 1 day, 1:11:36, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0541, decode.acc_seg: 97.7693, aux.loss_ce: 0.0305, aux.acc_seg: 96.9391, loss: 0.0846 2023-02-25 02:25:20,401 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 1 day, 1:10:40, time: 1.196, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7701, aux.loss_ce: 0.0294, aux.acc_seg: 97.0383, loss: 0.0838 2023-02-25 02:26:17,028 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 1 day, 1:09:41, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7904, aux.loss_ce: 0.0298, aux.acc_seg: 97.0307, loss: 0.0836 2023-02-25 02:27:13,887 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 1 day, 1:08:42, time: 1.137, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.7133, aux.loss_ce: 0.0306, aux.acc_seg: 96.9540, loss: 0.0866 2023-02-25 02:28:14,177 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 1 day, 1:07:46, time: 1.206, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7130, aux.loss_ce: 0.0312, aux.acc_seg: 96.8820, loss: 0.0870 2023-02-25 02:29:10,808 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 1 day, 1:06:47, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0542, decode.acc_seg: 97.7645, aux.loss_ce: 0.0300, aux.acc_seg: 96.9908, loss: 0.0842 2023-02-25 02:30:07,446 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 1 day, 1:05:48, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8472, aux.loss_ce: 0.0303, aux.acc_seg: 96.9854, loss: 0.0829 2023-02-25 02:31:04,113 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:31:04,114 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 1 day, 1:04:49, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7840, aux.loss_ce: 0.0308, aux.acc_seg: 96.9394, loss: 0.0847 2023-02-25 02:32:03,752 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 1 day, 1:03:53, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6725, aux.loss_ce: 0.0298, aux.acc_seg: 96.9966, loss: 0.0863 2023-02-25 02:33:00,463 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 1 day, 1:02:54, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7600, aux.loss_ce: 0.0303, aux.acc_seg: 96.9874, loss: 0.0848 2023-02-25 02:33:57,214 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 1 day, 1:01:55, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8089, aux.loss_ce: 0.0296, aux.acc_seg: 97.0339, loss: 0.0825 2023-02-25 02:34:54,058 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 1 day, 1:00:56, time: 1.137, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0566, decode.acc_seg: 97.6641, aux.loss_ce: 0.0305, aux.acc_seg: 96.9389, loss: 0.0871 2023-02-25 02:35:53,847 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 1 day, 1:00:00, time: 1.196, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7221, aux.loss_ce: 0.0293, aux.acc_seg: 97.0762, loss: 0.0847 2023-02-25 02:36:50,541 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 1 day, 0:59:01, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0582, decode.acc_seg: 97.6131, aux.loss_ce: 0.0316, aux.acc_seg: 96.8532, loss: 0.0898 2023-02-25 02:37:47,284 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 1 day, 0:58:02, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7362, aux.loss_ce: 0.0299, aux.acc_seg: 97.0046, loss: 0.0845 2023-02-25 02:38:46,968 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 1 day, 0:57:06, time: 1.194, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6955, aux.loss_ce: 0.0314, aux.acc_seg: 96.8876, loss: 0.0878 2023-02-25 02:39:43,973 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 1 day, 0:56:07, time: 1.140, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7476, aux.loss_ce: 0.0306, aux.acc_seg: 96.9492, loss: 0.0858 2023-02-25 02:40:40,636 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 1 day, 0:55:08, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0551, decode.acc_seg: 97.7219, aux.loss_ce: 0.0299, aux.acc_seg: 96.9783, loss: 0.0850 2023-02-25 02:41:37,273 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 1 day, 0:54:09, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7605, aux.loss_ce: 0.0307, aux.acc_seg: 96.9500, loss: 0.0855 2023-02-25 02:42:37,219 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 1 day, 0:53:13, time: 1.199, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8497, aux.loss_ce: 0.0291, aux.acc_seg: 97.0813, loss: 0.0813 2023-02-25 02:43:34,085 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 1 day, 0:52:14, time: 1.137, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8227, aux.loss_ce: 0.0288, aux.acc_seg: 97.0942, loss: 0.0812 2023-02-25 02:44:30,680 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 1 day, 0:51:15, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7842, aux.loss_ce: 0.0301, aux.acc_seg: 96.9842, loss: 0.0839 2023-02-25 02:45:27,395 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 1 day, 0:50:16, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6878, aux.loss_ce: 0.0309, aux.acc_seg: 96.8937, loss: 0.0868 2023-02-25 02:46:27,750 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 1 day, 0:49:21, time: 1.207, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7942, aux.loss_ce: 0.0295, aux.acc_seg: 97.0383, loss: 0.0831 2023-02-25 02:47:24,535 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 1 day, 0:48:22, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7332, aux.loss_ce: 0.0303, aux.acc_seg: 96.9602, loss: 0.0852 2023-02-25 02:48:21,241 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 1 day, 0:47:23, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.8004, aux.loss_ce: 0.0299, aux.acc_seg: 96.9844, loss: 0.0831 2023-02-25 02:49:17,867 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 1 day, 0:46:24, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7551, aux.loss_ce: 0.0300, aux.acc_seg: 96.9795, loss: 0.0843 2023-02-25 02:50:18,467 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:50:18,468 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 1 day, 0:45:29, time: 1.212, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8889, aux.loss_ce: 0.0293, aux.acc_seg: 97.0825, loss: 0.0807 2023-02-25 02:51:15,105 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 1 day, 0:44:30, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.7293, aux.loss_ce: 0.0321, aux.acc_seg: 96.8201, loss: 0.0877 2023-02-25 02:52:11,799 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 1 day, 0:43:31, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8332, aux.loss_ce: 0.0298, aux.acc_seg: 97.0017, loss: 0.0820 2023-02-25 02:53:12,353 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 1 day, 0:42:35, time: 1.211, data_time: 0.090, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7145, aux.loss_ce: 0.0300, aux.acc_seg: 96.9926, loss: 0.0854 2023-02-25 02:54:09,458 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 1 day, 0:41:37, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8061, aux.loss_ce: 0.0301, aux.acc_seg: 96.9917, loss: 0.0831 2023-02-25 02:55:06,301 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 1 day, 0:40:38, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0553, decode.acc_seg: 97.7161, aux.loss_ce: 0.0295, aux.acc_seg: 97.0299, loss: 0.0848 2023-02-25 02:56:02,995 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 1 day, 0:39:39, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7568, aux.loss_ce: 0.0301, aux.acc_seg: 96.9923, loss: 0.0847 2023-02-25 02:57:03,459 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 1 day, 0:38:43, time: 1.209, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0561, decode.acc_seg: 97.6838, aux.loss_ce: 0.0307, aux.acc_seg: 96.9207, loss: 0.0868 2023-02-25 02:58:00,247 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 1 day, 0:37:44, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.8033, aux.loss_ce: 0.0306, aux.acc_seg: 96.9491, loss: 0.0841 2023-02-25 02:58:56,925 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 1 day, 0:36:46, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6758, aux.loss_ce: 0.0309, aux.acc_seg: 96.8851, loss: 0.0874 2023-02-25 02:59:53,667 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 1 day, 0:35:47, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7625, aux.loss_ce: 0.0295, aux.acc_seg: 97.0392, loss: 0.0835 2023-02-25 03:00:54,405 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 1 day, 0:34:51, time: 1.215, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0561, decode.acc_seg: 97.6854, aux.loss_ce: 0.0305, aux.acc_seg: 96.9567, loss: 0.0866 2023-02-25 03:01:51,188 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 1 day, 0:33:52, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7889, aux.loss_ce: 0.0305, aux.acc_seg: 96.9586, loss: 0.0843 2023-02-25 03:02:47,811 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 1 day, 0:32:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.6757, aux.loss_ce: 0.0305, aux.acc_seg: 96.9220, loss: 0.0871 2023-02-25 03:03:44,664 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 1 day, 0:31:55, time: 1.137, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.7966, aux.loss_ce: 0.0292, aux.acc_seg: 97.0746, loss: 0.0826 2023-02-25 03:04:45,603 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 1 day, 0:31:00, time: 1.219, data_time: 0.097, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.7925, aux.loss_ce: 0.0300, aux.acc_seg: 96.9727, loss: 0.0833 2023-02-25 03:05:42,254 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 1 day, 0:30:01, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0562, decode.acc_seg: 97.6996, aux.loss_ce: 0.0305, aux.acc_seg: 96.9613, loss: 0.0867 2023-02-25 03:06:39,705 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 1 day, 0:29:02, time: 1.149, data_time: 0.029, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.6643, aux.loss_ce: 0.0300, aux.acc_seg: 96.9695, loss: 0.0863 2023-02-25 03:07:39,787 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 1 day, 0:28:06, time: 1.202, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7490, aux.loss_ce: 0.0293, aux.acc_seg: 97.0474, loss: 0.0836 2023-02-25 03:08:36,499 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 1 day, 0:27:07, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7282, aux.loss_ce: 0.0304, aux.acc_seg: 96.9577, loss: 0.0854 2023-02-25 03:09:33,186 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:09:33,196 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 1 day, 0:26:09, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8762, aux.loss_ce: 0.0282, aux.acc_seg: 97.1543, loss: 0.0791 2023-02-25 03:10:30,001 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 1 day, 0:25:10, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7221, aux.loss_ce: 0.0294, aux.acc_seg: 97.0571, loss: 0.0846 2023-02-25 03:11:30,367 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 1 day, 0:24:14, time: 1.207, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0532, decode.acc_seg: 97.8020, aux.loss_ce: 0.0290, aux.acc_seg: 97.0822, loss: 0.0823 2023-02-25 03:12:27,158 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 1 day, 0:23:15, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0541, decode.acc_seg: 97.7672, aux.loss_ce: 0.0292, aux.acc_seg: 97.0725, loss: 0.0833 2023-02-25 03:13:23,888 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 1 day, 0:22:16, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7635, aux.loss_ce: 0.0293, aux.acc_seg: 97.0250, loss: 0.0831 2023-02-25 03:14:20,590 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 1 day, 0:21:17, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7558, aux.loss_ce: 0.0302, aux.acc_seg: 96.9944, loss: 0.0852 2023-02-25 03:15:20,920 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 1 day, 0:20:22, time: 1.207, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0506, decode.acc_seg: 97.9101, aux.loss_ce: 0.0286, aux.acc_seg: 97.1164, loss: 0.0792 2023-02-25 03:16:17,549 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 1 day, 0:19:23, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8288, aux.loss_ce: 0.0296, aux.acc_seg: 97.0121, loss: 0.0823 2023-02-25 03:17:14,930 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 1 day, 0:18:24, time: 1.148, data_time: 0.028, memory: 27881, decode.loss_ce: 0.0571, decode.acc_seg: 97.6496, aux.loss_ce: 0.0299, aux.acc_seg: 96.9875, loss: 0.0870 2023-02-25 03:18:15,540 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 1 day, 0:17:29, time: 1.212, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8571, aux.loss_ce: 0.0297, aux.acc_seg: 97.0398, loss: 0.0818 2023-02-25 03:19:12,178 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 1 day, 0:16:30, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7725, aux.loss_ce: 0.0285, aux.acc_seg: 97.1103, loss: 0.0823 2023-02-25 03:20:08,808 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 1 day, 0:15:31, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7027, aux.loss_ce: 0.0303, aux.acc_seg: 96.9713, loss: 0.0860 2023-02-25 03:21:05,572 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 1 day, 0:14:32, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7042, aux.loss_ce: 0.0308, aux.acc_seg: 96.9063, loss: 0.0866 2023-02-25 03:22:05,397 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 1 day, 0:13:36, time: 1.197, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0585, decode.acc_seg: 97.6002, aux.loss_ce: 0.0311, aux.acc_seg: 96.8690, loss: 0.0896 2023-02-25 03:23:02,152 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 1 day, 0:12:37, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8374, aux.loss_ce: 0.0299, aux.acc_seg: 96.9840, loss: 0.0825 2023-02-25 03:23:58,769 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 1 day, 0:11:38, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0585, decode.acc_seg: 97.6023, aux.loss_ce: 0.0313, aux.acc_seg: 96.8562, loss: 0.0898 2023-02-25 03:24:55,455 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 1 day, 0:10:39, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0544, decode.acc_seg: 97.7733, aux.loss_ce: 0.0305, aux.acc_seg: 96.9611, loss: 0.0848 2023-02-25 03:25:55,261 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 1 day, 0:09:43, time: 1.196, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.8185, aux.loss_ce: 0.0307, aux.acc_seg: 96.9456, loss: 0.0842 2023-02-25 03:26:51,869 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 1 day, 0:08:44, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7714, aux.loss_ce: 0.0294, aux.acc_seg: 97.0340, loss: 0.0831 2023-02-25 03:27:48,555 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 1 day, 0:07:45, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7377, aux.loss_ce: 0.0298, aux.acc_seg: 97.0137, loss: 0.0846 2023-02-25 03:28:45,448 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:28:45,461 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 1 day, 0:06:46, time: 1.138, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7461, aux.loss_ce: 0.0308, aux.acc_seg: 96.9432, loss: 0.0855 2023-02-25 03:29:45,303 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 1 day, 0:05:50, time: 1.197, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7698, aux.loss_ce: 0.0294, aux.acc_seg: 97.0606, loss: 0.0834 2023-02-25 03:30:42,028 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 1 day, 0:04:51, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7468, aux.loss_ce: 0.0306, aux.acc_seg: 96.9692, loss: 0.0860 2023-02-25 03:31:38,761 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 1 day, 0:03:53, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.6839, aux.loss_ce: 0.0302, aux.acc_seg: 96.9683, loss: 0.0862 2023-02-25 03:32:38,442 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 1 day, 0:02:56, time: 1.194, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7171, aux.loss_ce: 0.0307, aux.acc_seg: 96.9001, loss: 0.0859 2023-02-25 03:33:35,339 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 1 day, 0:01:58, time: 1.138, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8222, aux.loss_ce: 0.0287, aux.acc_seg: 97.1069, loss: 0.0812 2023-02-25 03:34:32,002 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 1 day, 0:00:59, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7651, aux.loss_ce: 0.0305, aux.acc_seg: 96.9579, loss: 0.0852 2023-02-25 03:35:28,769 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 1 day, 0:00:00, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.7248, aux.loss_ce: 0.0303, aux.acc_seg: 96.9615, loss: 0.0859 2023-02-25 03:36:29,304 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 23:59:04, time: 1.211, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8237, aux.loss_ce: 0.0295, aux.acc_seg: 97.0653, loss: 0.0825 2023-02-25 03:37:26,005 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 23:58:05, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.7891, aux.loss_ce: 0.0297, aux.acc_seg: 97.0109, loss: 0.0830 2023-02-25 03:38:22,748 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 23:57:06, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7946, aux.loss_ce: 0.0292, aux.acc_seg: 97.0943, loss: 0.0830 2023-02-25 03:39:19,572 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 23:56:08, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0560, decode.acc_seg: 97.6953, aux.loss_ce: 0.0309, aux.acc_seg: 96.9248, loss: 0.0868 2023-02-25 03:40:19,767 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 23:55:12, time: 1.204, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7860, aux.loss_ce: 0.0293, aux.acc_seg: 97.0678, loss: 0.0829 2023-02-25 03:41:16,560 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 23:54:13, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7965, aux.loss_ce: 0.0295, aux.acc_seg: 97.0314, loss: 0.0829 2023-02-25 03:42:13,332 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 23:53:14, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0549, decode.acc_seg: 97.7531, aux.loss_ce: 0.0294, aux.acc_seg: 97.0687, loss: 0.0842 2023-02-25 03:43:13,861 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 23:52:19, time: 1.211, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.7937, aux.loss_ce: 0.0301, aux.acc_seg: 96.9618, loss: 0.0832 2023-02-25 03:44:10,636 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 23:51:20, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8712, aux.loss_ce: 0.0285, aux.acc_seg: 97.1437, loss: 0.0802 2023-02-25 03:45:07,308 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 23:50:21, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8439, aux.loss_ce: 0.0288, aux.acc_seg: 97.1104, loss: 0.0809 2023-02-25 03:46:03,949 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 23:49:22, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8934, aux.loss_ce: 0.0291, aux.acc_seg: 97.0702, loss: 0.0804 2023-02-25 03:47:03,421 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 23:48:26, time: 1.189, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7773, aux.loss_ce: 0.0299, aux.acc_seg: 96.9793, loss: 0.0837 2023-02-25 03:48:00,204 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:48:00,207 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 23:47:27, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7713, aux.loss_ce: 0.0299, aux.acc_seg: 97.0247, loss: 0.0844 2023-02-25 03:48:56,923 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 23:46:28, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7868, aux.loss_ce: 0.0291, aux.acc_seg: 97.0692, loss: 0.0827 2023-02-25 03:49:53,572 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 23:45:29, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8167, aux.loss_ce: 0.0297, aux.acc_seg: 97.0091, loss: 0.0826 2023-02-25 03:50:53,026 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 23:44:32, time: 1.189, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7086, aux.loss_ce: 0.0304, aux.acc_seg: 96.9487, loss: 0.0861 2023-02-25 03:51:49,641 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 23:43:33, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8219, aux.loss_ce: 0.0293, aux.acc_seg: 97.0575, loss: 0.0820 2023-02-25 03:52:46,311 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 23:42:35, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0542, decode.acc_seg: 97.7533, aux.loss_ce: 0.0312, aux.acc_seg: 96.8550, loss: 0.0855 2023-02-25 03:53:42,980 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 23:41:36, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8730, aux.loss_ce: 0.0286, aux.acc_seg: 97.1268, loss: 0.0799 2023-02-25 03:54:42,494 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 23:40:39, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8418, aux.loss_ce: 0.0290, aux.acc_seg: 97.0675, loss: 0.0812 2023-02-25 03:55:39,113 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 23:39:40, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8068, aux.loss_ce: 0.0302, aux.acc_seg: 96.9623, loss: 0.0831 2023-02-25 03:56:35,725 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 23:38:41, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7665, aux.loss_ce: 0.0297, aux.acc_seg: 96.9824, loss: 0.0833 2023-02-25 03:57:35,725 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 23:37:45, time: 1.200, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6886, aux.loss_ce: 0.0310, aux.acc_seg: 96.9230, loss: 0.0869 2023-02-25 03:58:32,417 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 23:36:46, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7203, aux.loss_ce: 0.0309, aux.acc_seg: 96.9016, loss: 0.0861 2023-02-25 03:59:29,111 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 23:35:48, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.7012, aux.loss_ce: 0.0304, aux.acc_seg: 96.9381, loss: 0.0862 2023-02-25 04:00:25,686 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 23:34:49, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8356, aux.loss_ce: 0.0291, aux.acc_seg: 97.0932, loss: 0.0816 2023-02-25 04:01:25,179 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 23:33:52, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7489, aux.loss_ce: 0.0301, aux.acc_seg: 96.9965, loss: 0.0849 2023-02-25 04:02:21,853 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 23:32:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8946, aux.loss_ce: 0.0282, aux.acc_seg: 97.1750, loss: 0.0793 2023-02-25 04:03:18,524 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 23:31:54, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9277, aux.loss_ce: 0.0291, aux.acc_seg: 97.0947, loss: 0.0794 2023-02-25 04:04:15,301 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 23:30:56, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0563, decode.acc_seg: 97.6699, aux.loss_ce: 0.0312, aux.acc_seg: 96.8745, loss: 0.0875 2023-02-25 04:05:14,759 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 23:29:59, time: 1.189, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6904, aux.loss_ce: 0.0302, aux.acc_seg: 96.9843, loss: 0.0866 2023-02-25 04:06:11,400 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 23:29:00, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7232, aux.loss_ce: 0.0300, aux.acc_seg: 96.9788, loss: 0.0850 2023-02-25 04:07:08,095 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:07:08,107 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 23:28:01, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7472, aux.loss_ce: 0.0297, aux.acc_seg: 97.0177, loss: 0.0845 2023-02-25 04:08:07,775 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 23:27:05, time: 1.194, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6775, aux.loss_ce: 0.0303, aux.acc_seg: 96.9564, loss: 0.0867 2023-02-25 04:09:04,524 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 23:26:06, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7564, aux.loss_ce: 0.0289, aux.acc_seg: 97.0770, loss: 0.0829 2023-02-25 04:10:01,272 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 23:25:07, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7921, aux.loss_ce: 0.0292, aux.acc_seg: 97.0791, loss: 0.0829 2023-02-25 04:10:57,958 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 23:24:09, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0548, decode.acc_seg: 97.7560, aux.loss_ce: 0.0305, aux.acc_seg: 96.9483, loss: 0.0853 2023-02-25 04:11:57,864 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 23:23:12, time: 1.198, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7759, aux.loss_ce: 0.0300, aux.acc_seg: 96.9780, loss: 0.0839 2023-02-25 04:12:54,533 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 23:22:14, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.8136, aux.loss_ce: 0.0296, aux.acc_seg: 97.0409, loss: 0.0830 2023-02-25 04:13:51,272 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 23:21:15, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.8123, aux.loss_ce: 0.0297, aux.acc_seg: 97.0334, loss: 0.0828 2023-02-25 04:14:47,914 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 23:20:16, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0541, decode.acc_seg: 97.7621, aux.loss_ce: 0.0296, aux.acc_seg: 97.0114, loss: 0.0838 2023-02-25 04:15:47,832 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 23:19:20, time: 1.198, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8742, aux.loss_ce: 0.0286, aux.acc_seg: 97.1171, loss: 0.0802 2023-02-25 04:16:44,465 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 23:18:21, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.7953, aux.loss_ce: 0.0291, aux.acc_seg: 97.0759, loss: 0.0822 2023-02-25 04:17:41,168 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 23:17:22, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8280, aux.loss_ce: 0.0303, aux.acc_seg: 96.9822, loss: 0.0829 2023-02-25 04:18:37,903 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 23:16:23, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.8073, aux.loss_ce: 0.0289, aux.acc_seg: 97.0933, loss: 0.0820 2023-02-25 04:19:37,457 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 23:15:27, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0551, decode.acc_seg: 97.7162, aux.loss_ce: 0.0299, aux.acc_seg: 96.9830, loss: 0.0850 2023-02-25 04:20:34,151 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 23:14:28, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8926, aux.loss_ce: 0.0290, aux.acc_seg: 97.0736, loss: 0.0800 2023-02-25 04:21:30,842 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 23:13:29, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7897, aux.loss_ce: 0.0301, aux.acc_seg: 97.0104, loss: 0.0840 2023-02-25 04:22:30,415 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 23:12:33, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8663, aux.loss_ce: 0.0296, aux.acc_seg: 97.0398, loss: 0.0813 2023-02-25 04:23:27,127 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 23:11:34, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8135, aux.loss_ce: 0.0297, aux.acc_seg: 97.0224, loss: 0.0825 2023-02-25 04:24:23,861 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 23:10:35, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8202, aux.loss_ce: 0.0287, aux.acc_seg: 97.1071, loss: 0.0812 2023-02-25 04:25:20,593 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 23:09:36, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8610, aux.loss_ce: 0.0286, aux.acc_seg: 97.1373, loss: 0.0806 2023-02-25 04:26:20,093 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:26:20,097 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 23:08:40, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.7069, aux.loss_ce: 0.0300, aux.acc_seg: 96.9803, loss: 0.0855 2023-02-25 04:27:16,843 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 23:07:41, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7778, aux.loss_ce: 0.0292, aux.acc_seg: 97.0607, loss: 0.0830 2023-02-25 04:28:13,578 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 23:06:42, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0537, decode.acc_seg: 97.7770, aux.loss_ce: 0.0299, aux.acc_seg: 96.9534, loss: 0.0836 2023-02-25 04:29:10,553 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 23:05:44, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8469, aux.loss_ce: 0.0294, aux.acc_seg: 97.0580, loss: 0.0814 2023-02-25 04:30:10,688 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 23:04:48, time: 1.203, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0541, decode.acc_seg: 97.7733, aux.loss_ce: 0.0300, aux.acc_seg: 96.9919, loss: 0.0841 2023-02-25 04:31:07,290 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 23:03:49, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.7943, aux.loss_ce: 0.0295, aux.acc_seg: 97.0305, loss: 0.0827 2023-02-25 04:32:03,956 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 23:02:50, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0549, decode.acc_seg: 97.7307, aux.loss_ce: 0.0299, aux.acc_seg: 96.9917, loss: 0.0848 2023-02-25 04:33:00,622 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 23:01:51, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8363, aux.loss_ce: 0.0292, aux.acc_seg: 97.0444, loss: 0.0812 2023-02-25 04:34:00,695 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 23:00:55, time: 1.201, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.7944, aux.loss_ce: 0.0297, aux.acc_seg: 97.0017, loss: 0.0831 2023-02-25 04:34:57,373 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 22:59:56, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6866, aux.loss_ce: 0.0305, aux.acc_seg: 96.9209, loss: 0.0864 2023-02-25 04:35:54,088 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 22:58:57, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.6904, aux.loss_ce: 0.0307, aux.acc_seg: 96.8982, loss: 0.0862 2023-02-25 04:36:53,743 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 22:58:01, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8094, aux.loss_ce: 0.0291, aux.acc_seg: 97.0609, loss: 0.0819 2023-02-25 04:37:50,690 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 22:57:02, time: 1.139, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.7965, aux.loss_ce: 0.0295, aux.acc_seg: 97.0378, loss: 0.0828 2023-02-25 04:38:47,345 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 22:56:04, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8217, aux.loss_ce: 0.0291, aux.acc_seg: 97.0926, loss: 0.0819 2023-02-25 04:39:44,092 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 22:55:05, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8526, aux.loss_ce: 0.0283, aux.acc_seg: 97.1497, loss: 0.0798 2023-02-25 04:40:43,694 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 22:54:08, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7718, aux.loss_ce: 0.0299, aux.acc_seg: 96.9921, loss: 0.0839 2023-02-25 04:41:40,633 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 22:53:10, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8638, aux.loss_ce: 0.0280, aux.acc_seg: 97.1696, loss: 0.0797 2023-02-25 04:42:37,307 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 22:52:11, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7887, aux.loss_ce: 0.0294, aux.acc_seg: 97.0274, loss: 0.0827 2023-02-25 04:43:34,028 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 22:51:12, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8351, aux.loss_ce: 0.0290, aux.acc_seg: 97.1003, loss: 0.0815 2023-02-25 04:44:33,501 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 22:50:16, time: 1.189, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8325, aux.loss_ce: 0.0295, aux.acc_seg: 97.0220, loss: 0.0821 2023-02-25 04:45:30,568 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:45:30,578 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 22:49:17, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7654, aux.loss_ce: 0.0295, aux.acc_seg: 97.0473, loss: 0.0837 2023-02-25 04:46:27,313 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 22:48:18, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7935, aux.loss_ce: 0.0297, aux.acc_seg: 97.0223, loss: 0.0831 2023-02-25 04:47:26,915 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 22:47:22, time: 1.192, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7351, aux.loss_ce: 0.0293, aux.acc_seg: 97.0571, loss: 0.0846 2023-02-25 04:48:23,677 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 22:46:23, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8879, aux.loss_ce: 0.0281, aux.acc_seg: 97.1744, loss: 0.0792 2023-02-25 04:49:20,735 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 22:45:25, time: 1.141, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0556, decode.acc_seg: 97.6909, aux.loss_ce: 0.0298, aux.acc_seg: 97.0061, loss: 0.0854 2023-02-25 04:50:17,347 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 22:44:26, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0557, decode.acc_seg: 97.6989, aux.loss_ce: 0.0294, aux.acc_seg: 97.0278, loss: 0.0852 2023-02-25 04:51:17,479 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 22:43:30, time: 1.203, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9194, aux.loss_ce: 0.0275, aux.acc_seg: 97.2127, loss: 0.0777 2023-02-25 04:52:14,222 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 22:42:31, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8416, aux.loss_ce: 0.0289, aux.acc_seg: 97.0815, loss: 0.0810 2023-02-25 04:53:10,981 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 22:41:32, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8104, aux.loss_ce: 0.0283, aux.acc_seg: 97.1482, loss: 0.0812 2023-02-25 04:54:07,701 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 22:40:34, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7871, aux.loss_ce: 0.0296, aux.acc_seg: 97.0131, loss: 0.0830 2023-02-25 04:55:07,902 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 22:39:38, time: 1.204, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0541, decode.acc_seg: 97.7635, aux.loss_ce: 0.0301, aux.acc_seg: 96.9998, loss: 0.0842 2023-02-25 04:56:04,564 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 22:38:39, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.8184, aux.loss_ce: 0.0292, aux.acc_seg: 97.0627, loss: 0.0823 2023-02-25 04:57:01,294 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 22:37:40, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8310, aux.loss_ce: 0.0287, aux.acc_seg: 97.1170, loss: 0.0811 2023-02-25 04:57:57,940 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 22:36:41, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.7918, aux.loss_ce: 0.0288, aux.acc_seg: 97.0781, loss: 0.0819 2023-02-25 04:58:57,402 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 22:35:45, time: 1.189, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8854, aux.loss_ce: 0.0277, aux.acc_seg: 97.2042, loss: 0.0787 2023-02-25 04:59:54,097 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 22:34:46, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7521, aux.loss_ce: 0.0292, aux.acc_seg: 97.0572, loss: 0.0838 2023-02-25 05:00:50,948 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 22:33:47, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8107, aux.loss_ce: 0.0302, aux.acc_seg: 96.9909, loss: 0.0831 2023-02-25 05:01:50,571 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 22:32:51, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8626, aux.loss_ce: 0.0280, aux.acc_seg: 97.1853, loss: 0.0797 2023-02-25 05:02:47,223 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 22:31:52, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.8065, aux.loss_ce: 0.0292, aux.acc_seg: 97.0579, loss: 0.0823 2023-02-25 05:03:43,890 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 22:30:53, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8401, aux.loss_ce: 0.0292, aux.acc_seg: 97.0690, loss: 0.0815 2023-02-25 05:04:40,988 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:04:40,992 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 22:29:55, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8850, aux.loss_ce: 0.0286, aux.acc_seg: 97.1099, loss: 0.0797 2023-02-25 05:05:40,476 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 22:28:58, time: 1.190, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8055, aux.loss_ce: 0.0296, aux.acc_seg: 97.0074, loss: 0.0825 2023-02-25 05:06:37,090 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 22:27:59, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8633, aux.loss_ce: 0.0296, aux.acc_seg: 97.0454, loss: 0.0815 2023-02-25 05:07:33,733 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 22:27:01, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8580, aux.loss_ce: 0.0291, aux.acc_seg: 97.0742, loss: 0.0809 2023-02-25 05:08:30,960 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 22:26:02, time: 1.144, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0565, decode.acc_seg: 97.7301, aux.loss_ce: 0.0282, aux.acc_seg: 97.1682, loss: 0.0847 2023-02-25 05:09:30,641 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 22:25:06, time: 1.194, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7741, aux.loss_ce: 0.0294, aux.acc_seg: 97.0572, loss: 0.0837 2023-02-25 05:10:27,344 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 22:24:07, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8190, aux.loss_ce: 0.0290, aux.acc_seg: 97.0933, loss: 0.0820 2023-02-25 05:11:23,991 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 22:23:08, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.6951, aux.loss_ce: 0.0304, aux.acc_seg: 96.9254, loss: 0.0858 2023-02-25 05:12:24,561 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 22:22:12, time: 1.211, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8767, aux.loss_ce: 0.0291, aux.acc_seg: 97.0984, loss: 0.0807 2023-02-25 05:13:21,309 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 22:21:14, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8246, aux.loss_ce: 0.0298, aux.acc_seg: 97.0144, loss: 0.0827 2023-02-25 05:14:18,068 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 22:20:15, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.7838, aux.loss_ce: 0.0291, aux.acc_seg: 97.0671, loss: 0.0826 2023-02-25 05:15:14,812 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 22:19:16, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8329, aux.loss_ce: 0.0286, aux.acc_seg: 97.1457, loss: 0.0814 2023-02-25 05:16:15,198 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 22:18:20, time: 1.208, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.8060, aux.loss_ce: 0.0293, aux.acc_seg: 97.1013, loss: 0.0852 2023-02-25 05:17:11,910 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 22:17:22, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0552, decode.acc_seg: 97.7134, aux.loss_ce: 0.0300, aux.acc_seg: 96.9826, loss: 0.0851 2023-02-25 05:18:08,626 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 22:16:23, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8802, aux.loss_ce: 0.0287, aux.acc_seg: 97.0935, loss: 0.0798 2023-02-25 05:19:05,404 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 22:15:24, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7459, aux.loss_ce: 0.0295, aux.acc_seg: 97.0363, loss: 0.0840 2023-02-25 05:20:05,078 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 22:14:28, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8039, aux.loss_ce: 0.0290, aux.acc_seg: 97.0568, loss: 0.0819 2023-02-25 05:21:01,728 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 22:13:29, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8836, aux.loss_ce: 0.0292, aux.acc_seg: 97.0705, loss: 0.0807 2023-02-25 05:21:58,431 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 22:12:30, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8162, aux.loss_ce: 0.0294, aux.acc_seg: 97.0235, loss: 0.0820 2023-02-25 05:22:55,178 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 22:11:32, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0537, decode.acc_seg: 97.7700, aux.loss_ce: 0.0292, aux.acc_seg: 97.0502, loss: 0.0829 2023-02-25 05:23:54,808 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:23:54,809 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 22:10:35, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9265, aux.loss_ce: 0.0278, aux.acc_seg: 97.1961, loss: 0.0779 2023-02-25 05:24:51,602 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 22:09:37, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0555, decode.acc_seg: 97.6985, aux.loss_ce: 0.0301, aux.acc_seg: 96.9622, loss: 0.0856 2023-02-25 05:25:48,413 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 22:08:38, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.7906, aux.loss_ce: 0.0293, aux.acc_seg: 97.0686, loss: 0.0828 2023-02-25 05:26:48,099 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 22:07:41, time: 1.194, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8271, aux.loss_ce: 0.0297, aux.acc_seg: 97.0349, loss: 0.0822 2023-02-25 05:27:44,859 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 22:06:43, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7690, aux.loss_ce: 0.0301, aux.acc_seg: 96.9866, loss: 0.0841 2023-02-25 05:28:41,694 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 22:05:44, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8559, aux.loss_ce: 0.0288, aux.acc_seg: 97.1094, loss: 0.0806 2023-02-25 05:29:38,381 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 22:04:45, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8584, aux.loss_ce: 0.0279, aux.acc_seg: 97.1783, loss: 0.0796 2023-02-25 05:30:38,104 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 22:03:49, time: 1.194, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8822, aux.loss_ce: 0.0289, aux.acc_seg: 97.0823, loss: 0.0799 2023-02-25 05:31:34,789 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 22:02:50, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8185, aux.loss_ce: 0.0283, aux.acc_seg: 97.1481, loss: 0.0810 2023-02-25 05:32:31,479 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 22:01:51, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8299, aux.loss_ce: 0.0291, aux.acc_seg: 97.0690, loss: 0.0815 2023-02-25 05:33:28,260 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 22:00:53, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8205, aux.loss_ce: 0.0289, aux.acc_seg: 97.1010, loss: 0.0819 2023-02-25 05:34:28,695 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 21:59:57, time: 1.209, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7872, aux.loss_ce: 0.0304, aux.acc_seg: 96.9902, loss: 0.0838 2023-02-25 05:35:25,413 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 21:58:58, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8297, aux.loss_ce: 0.0295, aux.acc_seg: 97.0330, loss: 0.0819 2023-02-25 05:36:22,176 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 21:58:00, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0637, decode.acc_seg: 97.4149, aux.loss_ce: 0.0330, aux.acc_seg: 96.7286, loss: 0.0967 2023-02-25 05:37:22,478 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 21:57:04, time: 1.206, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8307, aux.loss_ce: 0.0300, aux.acc_seg: 96.9995, loss: 0.0828 2023-02-25 05:38:19,168 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 21:56:05, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8295, aux.loss_ce: 0.0297, aux.acc_seg: 97.0182, loss: 0.0822 2023-02-25 05:39:15,775 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 21:55:06, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0543, decode.acc_seg: 97.7577, aux.loss_ce: 0.0295, aux.acc_seg: 97.0277, loss: 0.0839 2023-02-25 05:40:12,400 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 21:54:07, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8673, aux.loss_ce: 0.0290, aux.acc_seg: 97.1074, loss: 0.0810 2023-02-25 05:41:11,933 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 21:53:11, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8262, aux.loss_ce: 0.0291, aux.acc_seg: 97.0905, loss: 0.0816 2023-02-25 05:42:08,609 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 21:52:12, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8339, aux.loss_ce: 0.0288, aux.acc_seg: 97.1244, loss: 0.0814 2023-02-25 05:43:05,351 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:43:05,358 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 21:51:13, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8310, aux.loss_ce: 0.0284, aux.acc_seg: 97.1296, loss: 0.0807 2023-02-25 05:44:01,951 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 21:50:15, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8369, aux.loss_ce: 0.0293, aux.acc_seg: 97.0818, loss: 0.0823 2023-02-25 05:45:01,417 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 21:49:18, time: 1.189, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0554, decode.acc_seg: 97.7009, aux.loss_ce: 0.0293, aux.acc_seg: 97.0189, loss: 0.0847 2023-02-25 05:45:58,010 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 21:48:19, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8212, aux.loss_ce: 0.0285, aux.acc_seg: 97.1300, loss: 0.0812 2023-02-25 05:46:54,549 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 21:47:20, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8250, aux.loss_ce: 0.0285, aux.acc_seg: 97.1396, loss: 0.0811 2023-02-25 05:47:51,778 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 21:46:22, time: 1.145, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.9054, aux.loss_ce: 0.0282, aux.acc_seg: 97.1840, loss: 0.0790 2023-02-25 05:48:51,410 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 21:45:25, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9184, aux.loss_ce: 0.0288, aux.acc_seg: 97.0847, loss: 0.0788 2023-02-25 05:49:48,116 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 21:44:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8595, aux.loss_ce: 0.0290, aux.acc_seg: 97.0986, loss: 0.0809 2023-02-25 05:50:44,787 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 21:43:28, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8204, aux.loss_ce: 0.0282, aux.acc_seg: 97.1516, loss: 0.0806 2023-02-25 05:51:45,422 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 21:42:32, time: 1.212, data_time: 0.092, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9200, aux.loss_ce: 0.0285, aux.acc_seg: 97.1275, loss: 0.0786 2023-02-25 05:52:42,122 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 21:41:34, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.8017, aux.loss_ce: 0.0292, aux.acc_seg: 97.0685, loss: 0.0828 2023-02-25 05:53:38,810 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 21:40:35, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9327, aux.loss_ce: 0.0286, aux.acc_seg: 97.1340, loss: 0.0785 2023-02-25 05:54:35,442 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 21:39:36, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0559, decode.acc_seg: 97.6888, aux.loss_ce: 0.0294, aux.acc_seg: 97.0418, loss: 0.0853 2023-02-25 05:55:35,817 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 21:38:40, time: 1.208, data_time: 0.088, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9729, aux.loss_ce: 0.0275, aux.acc_seg: 97.2188, loss: 0.0762 2023-02-25 05:56:32,610 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 21:37:42, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0535, decode.acc_seg: 97.8111, aux.loss_ce: 0.0291, aux.acc_seg: 97.0901, loss: 0.0826 2023-02-25 05:57:29,194 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 21:36:43, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8489, aux.loss_ce: 0.0282, aux.acc_seg: 97.1108, loss: 0.0796 2023-02-25 05:58:25,715 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 21:35:44, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8106, aux.loss_ce: 0.0284, aux.acc_seg: 97.1192, loss: 0.0813 2023-02-25 05:59:25,175 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 21:34:47, time: 1.189, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9128, aux.loss_ce: 0.0287, aux.acc_seg: 97.0866, loss: 0.0789 2023-02-25 06:00:21,956 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 21:33:49, time: 1.136, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0547, decode.acc_seg: 97.7432, aux.loss_ce: 0.0291, aux.acc_seg: 97.0732, loss: 0.0839 2023-02-25 06:01:18,578 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 21:32:50, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7922, aux.loss_ce: 0.0294, aux.acc_seg: 97.0603, loss: 0.0828 2023-02-25 06:02:15,215 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:02:15,379 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 21:31:51, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.9051, aux.loss_ce: 0.0285, aux.acc_seg: 97.1388, loss: 0.0793 2023-02-25 06:03:14,882 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 21:30:55, time: 1.193, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.8117, aux.loss_ce: 0.0288, aux.acc_seg: 97.1001, loss: 0.0817 2023-02-25 06:04:12,040 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 21:29:56, time: 1.143, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9633, aux.loss_ce: 0.0275, aux.acc_seg: 97.2193, loss: 0.0765 2023-02-25 06:05:08,722 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 21:28:58, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.7866, aux.loss_ce: 0.0288, aux.acc_seg: 97.0729, loss: 0.0819 2023-02-25 06:06:08,298 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 21:28:01, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8677, aux.loss_ce: 0.0294, aux.acc_seg: 97.0587, loss: 0.0811 2023-02-25 06:07:04,944 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 21:27:02, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8773, aux.loss_ce: 0.0286, aux.acc_seg: 97.1252, loss: 0.0801 2023-02-25 06:08:01,935 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 21:26:04, time: 1.140, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9206, aux.loss_ce: 0.0275, aux.acc_seg: 97.2147, loss: 0.0776 2023-02-25 06:08:58,540 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 21:25:05, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0541, decode.acc_seg: 97.7583, aux.loss_ce: 0.0286, aux.acc_seg: 97.1257, loss: 0.0827 2023-02-25 06:09:58,315 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 21:24:09, time: 1.195, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8108, aux.loss_ce: 0.0292, aux.acc_seg: 97.0347, loss: 0.0820 2023-02-25 06:10:54,988 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 21:23:10, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8993, aux.loss_ce: 0.0277, aux.acc_seg: 97.2110, loss: 0.0787 2023-02-25 06:11:52,113 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 21:22:12, time: 1.143, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.7862, aux.loss_ce: 0.0292, aux.acc_seg: 97.0281, loss: 0.0821 2023-02-25 06:12:48,730 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 21:21:13, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.7471, aux.loss_ce: 0.0300, aux.acc_seg: 96.9712, loss: 0.0844 2023-02-25 06:13:49,515 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 21:20:17, time: 1.216, data_time: 0.096, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8704, aux.loss_ce: 0.0289, aux.acc_seg: 97.0910, loss: 0.0802 2023-02-25 06:14:46,129 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 21:19:18, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0531, decode.acc_seg: 97.7868, aux.loss_ce: 0.0294, aux.acc_seg: 97.0341, loss: 0.0826 2023-02-25 06:15:42,885 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 21:18:20, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8782, aux.loss_ce: 0.0286, aux.acc_seg: 97.1147, loss: 0.0795 2023-02-25 06:16:43,247 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 21:17:24, time: 1.207, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8675, aux.loss_ce: 0.0292, aux.acc_seg: 97.0839, loss: 0.0812 2023-02-25 06:17:39,919 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 21:16:25, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0544, decode.acc_seg: 97.7402, aux.loss_ce: 0.0294, aux.acc_seg: 97.0201, loss: 0.0838 2023-02-25 06:18:37,124 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 21:15:27, time: 1.144, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8374, aux.loss_ce: 0.0290, aux.acc_seg: 97.0633, loss: 0.0809 2023-02-25 06:19:33,729 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 21:14:28, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8626, aux.loss_ce: 0.0287, aux.acc_seg: 97.1361, loss: 0.0806 2023-02-25 06:20:34,217 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 21:13:32, time: 1.210, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8364, aux.loss_ce: 0.0291, aux.acc_seg: 97.0396, loss: 0.0809 2023-02-25 06:21:30,970 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:21:30,985 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 21:12:34, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.7967, aux.loss_ce: 0.0287, aux.acc_seg: 97.1109, loss: 0.0820 2023-02-25 06:22:27,584 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 21:11:35, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8510, aux.loss_ce: 0.0294, aux.acc_seg: 97.0427, loss: 0.0816 2023-02-25 06:23:24,233 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 21:10:36, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8663, aux.loss_ce: 0.0282, aux.acc_seg: 97.1482, loss: 0.0794 2023-02-25 06:24:24,473 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 21:09:40, time: 1.205, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8583, aux.loss_ce: 0.0286, aux.acc_seg: 97.1059, loss: 0.0801 2023-02-25 06:25:21,164 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 21:08:41, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8187, aux.loss_ce: 0.0291, aux.acc_seg: 97.0487, loss: 0.0814 2023-02-25 06:26:17,872 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 21:07:43, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7977, aux.loss_ce: 0.0286, aux.acc_seg: 97.1123, loss: 0.0822 2023-02-25 06:27:14,553 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 21:06:44, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8283, aux.loss_ce: 0.0286, aux.acc_seg: 97.1184, loss: 0.0809 2023-02-25 06:28:14,197 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 21:05:47, time: 1.192, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0544, decode.acc_seg: 97.7707, aux.loss_ce: 0.0289, aux.acc_seg: 97.1051, loss: 0.0833 2023-02-25 06:29:10,834 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 21:04:49, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7679, aux.loss_ce: 0.0286, aux.acc_seg: 97.1235, loss: 0.0826 2023-02-25 06:30:07,642 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 21:03:50, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8302, aux.loss_ce: 0.0286, aux.acc_seg: 97.1176, loss: 0.0810 2023-02-25 06:31:07,192 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 21:02:54, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8478, aux.loss_ce: 0.0281, aux.acc_seg: 97.1701, loss: 0.0798 2023-02-25 06:32:03,824 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 21:01:55, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8840, aux.loss_ce: 0.0293, aux.acc_seg: 97.0603, loss: 0.0807 2023-02-25 06:33:00,544 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 21:00:56, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0551, decode.acc_seg: 97.7420, aux.loss_ce: 0.0289, aux.acc_seg: 97.1178, loss: 0.0840 2023-02-25 06:33:57,149 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 20:59:58, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8953, aux.loss_ce: 0.0285, aux.acc_seg: 97.1162, loss: 0.0793 2023-02-25 06:34:56,631 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 20:59:01, time: 1.190, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7618, aux.loss_ce: 0.0299, aux.acc_seg: 96.9689, loss: 0.0836 2023-02-25 06:35:53,428 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 20:58:02, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8868, aux.loss_ce: 0.0283, aux.acc_seg: 97.1340, loss: 0.0793 2023-02-25 06:36:50,140 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 20:57:04, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8656, aux.loss_ce: 0.0286, aux.acc_seg: 97.1035, loss: 0.0800 2023-02-25 06:37:47,377 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 20:56:05, time: 1.145, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0529, decode.acc_seg: 97.8170, aux.loss_ce: 0.0282, aux.acc_seg: 97.1601, loss: 0.0812 2023-02-25 06:38:47,202 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 20:55:09, time: 1.196, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7478, aux.loss_ce: 0.0287, aux.acc_seg: 97.0870, loss: 0.0833 2023-02-25 06:39:43,868 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 20:54:10, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8316, aux.loss_ce: 0.0290, aux.acc_seg: 97.0792, loss: 0.0813 2023-02-25 06:40:40,515 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:40:40,515 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 20:53:12, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8585, aux.loss_ce: 0.0281, aux.acc_seg: 97.1710, loss: 0.0799 2023-02-25 06:41:40,904 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 20:52:16, time: 1.208, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.7873, aux.loss_ce: 0.0294, aux.acc_seg: 97.0457, loss: 0.0833 2023-02-25 06:42:37,637 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 20:51:17, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8135, aux.loss_ce: 0.0290, aux.acc_seg: 97.0622, loss: 0.0817 2023-02-25 06:43:34,434 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 20:50:18, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0506, decode.acc_seg: 97.8993, aux.loss_ce: 0.0278, aux.acc_seg: 97.1984, loss: 0.0784 2023-02-25 06:44:31,080 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 20:49:20, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.8072, aux.loss_ce: 0.0293, aux.acc_seg: 97.0525, loss: 0.0826 2023-02-25 06:45:31,667 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 20:48:24, time: 1.212, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8901, aux.loss_ce: 0.0291, aux.acc_seg: 97.0737, loss: 0.0802 2023-02-25 06:46:28,371 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 20:47:25, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8467, aux.loss_ce: 0.0280, aux.acc_seg: 97.1993, loss: 0.0802 2023-02-25 06:47:25,076 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 20:46:27, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8958, aux.loss_ce: 0.0286, aux.acc_seg: 97.1022, loss: 0.0792 2023-02-25 06:48:21,741 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 20:45:28, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0542, decode.acc_seg: 97.7443, aux.loss_ce: 0.0289, aux.acc_seg: 97.0607, loss: 0.0831 2023-02-25 06:49:21,263 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 20:44:31, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0532, decode.acc_seg: 97.7986, aux.loss_ce: 0.0287, aux.acc_seg: 97.1031, loss: 0.0819 2023-02-25 06:50:17,923 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 20:43:33, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8245, aux.loss_ce: 0.0285, aux.acc_seg: 97.1206, loss: 0.0809 2023-02-25 06:51:14,539 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 20:42:34, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.8996, aux.loss_ce: 0.0286, aux.acc_seg: 97.1076, loss: 0.0787 2023-02-25 06:52:11,224 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 20:41:35, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9116, aux.loss_ce: 0.0276, aux.acc_seg: 97.2185, loss: 0.0779 2023-02-25 06:53:10,836 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 20:40:39, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0546, decode.acc_seg: 97.7269, aux.loss_ce: 0.0292, aux.acc_seg: 97.0476, loss: 0.0838 2023-02-25 06:54:07,712 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 20:39:40, time: 1.137, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0536, decode.acc_seg: 97.7881, aux.loss_ce: 0.0286, aux.acc_seg: 97.1294, loss: 0.0822 2023-02-25 06:55:04,414 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 20:38:42, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8338, aux.loss_ce: 0.0290, aux.acc_seg: 97.0773, loss: 0.0815 2023-02-25 06:56:04,005 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 20:37:45, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8180, aux.loss_ce: 0.0289, aux.acc_seg: 97.0909, loss: 0.0815 2023-02-25 06:57:00,629 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 20:36:46, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9520, aux.loss_ce: 0.0276, aux.acc_seg: 97.2252, loss: 0.0769 2023-02-25 06:57:57,594 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 20:35:48, time: 1.139, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8066, aux.loss_ce: 0.0286, aux.acc_seg: 97.0948, loss: 0.0814 2023-02-25 06:58:54,404 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 20:34:49, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8246, aux.loss_ce: 0.0283, aux.acc_seg: 97.1430, loss: 0.0805 2023-02-25 06:59:53,952 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-02-25 06:59:57,413 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:59:57,414 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 20:33:55, time: 1.260, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9044, aux.loss_ce: 0.0290, aux.acc_seg: 97.0644, loss: 0.0791 2023-02-25 07:01:01,791 - mmseg - INFO - per class results: 2023-02-25 07:01:01,796 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.47 | 99.24 | | sidewalk | 87.13 | 92.85 | | building | 93.64 | 97.29 | | wall | 60.89 | 68.55 | | fence | 68.19 | 74.4 | | pole | 72.05 | 84.13 | | traffic light | 75.89 | 85.29 | | traffic sign | 83.86 | 90.37 | | vegetation | 93.25 | 96.45 | | terrain | 67.51 | 75.26 | | sky | 95.23 | 98.62 | | person | 84.96 | 93.8 | | rider | 67.22 | 75.63 | | car | 96.02 | 98.22 | | truck | 81.39 | 88.59 | | bus | 91.84 | 94.88 | | train | 87.0 | 93.37 | | motorcycle | 73.08 | 83.6 | | bicycle | 81.45 | 92.94 | +---------------+-------+-------+ 2023-02-25 07:01:01,797 - mmseg - INFO - Summary: 2023-02-25 07:01:01,797 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.72 | 82.06 | 88.61 | +-------+-------+-------+ 2023-02-25 07:01:01,798 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:01:01,798 - mmseg - INFO - Iter(val) [125] aAcc: 0.9672, mIoU: 0.8206, mAcc: 0.8861, IoU.road: 0.9847, IoU.sidewalk: 0.8713, IoU.building: 0.9364, IoU.wall: 0.6089, IoU.fence: 0.6819, IoU.pole: 0.7205, IoU.traffic light: 0.7589, IoU.traffic sign: 0.8386, IoU.vegetation: 0.9325, IoU.terrain: 0.6751, IoU.sky: 0.9523, IoU.person: 0.8496, IoU.rider: 0.6722, IoU.car: 0.9602, IoU.truck: 0.8139, IoU.bus: 0.9184, IoU.train: 0.8700, IoU.motorcycle: 0.7308, IoU.bicycle: 0.8145, Acc.road: 0.9924, Acc.sidewalk: 0.9285, Acc.building: 0.9729, Acc.wall: 0.6855, Acc.fence: 0.7440, Acc.pole: 0.8413, Acc.traffic light: 0.8529, Acc.traffic sign: 0.9037, Acc.vegetation: 0.9645, Acc.terrain: 0.7526, Acc.sky: 0.9862, Acc.person: 0.9380, Acc.rider: 0.7563, Acc.car: 0.9822, Acc.truck: 0.8859, Acc.bus: 0.9488, Acc.train: 0.9337, Acc.motorcycle: 0.8360, Acc.bicycle: 0.9294 2023-02-25 07:01:58,494 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 20:33:39, time: 2.421, data_time: 1.300, memory: 27881, decode.loss_ce: 0.0542, decode.acc_seg: 97.7513, aux.loss_ce: 0.0289, aux.acc_seg: 97.0812, loss: 0.0830 2023-02-25 07:02:55,307 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 20:32:41, time: 1.136, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8425, aux.loss_ce: 0.0286, aux.acc_seg: 97.1250, loss: 0.0807 2023-02-25 07:03:52,009 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 20:31:42, time: 1.134, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8800, aux.loss_ce: 0.0286, aux.acc_seg: 97.1109, loss: 0.0798 2023-02-25 07:04:51,663 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 20:30:45, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0504, decode.acc_seg: 97.9030, aux.loss_ce: 0.0280, aux.acc_seg: 97.1472, loss: 0.0784 2023-02-25 07:05:48,497 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 20:29:47, time: 1.137, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9298, aux.loss_ce: 0.0291, aux.acc_seg: 97.0897, loss: 0.0791 2023-02-25 07:06:45,282 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 20:28:48, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9137, aux.loss_ce: 0.0277, aux.acc_seg: 97.1863, loss: 0.0778 2023-02-25 07:07:44,901 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 20:27:51, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8756, aux.loss_ce: 0.0287, aux.acc_seg: 97.1030, loss: 0.0800 2023-02-25 07:08:41,540 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 20:26:53, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7692, aux.loss_ce: 0.0287, aux.acc_seg: 97.1105, loss: 0.0827 2023-02-25 07:09:38,229 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 20:25:54, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8803, aux.loss_ce: 0.0281, aux.acc_seg: 97.1360, loss: 0.0788 2023-02-25 07:10:34,962 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 20:24:55, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8433, aux.loss_ce: 0.0280, aux.acc_seg: 97.1792, loss: 0.0800 2023-02-25 07:11:35,074 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 20:23:59, time: 1.202, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8970, aux.loss_ce: 0.0284, aux.acc_seg: 97.1385, loss: 0.0791 2023-02-25 07:12:31,853 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 20:23:00, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8952, aux.loss_ce: 0.0285, aux.acc_seg: 97.1659, loss: 0.0792 2023-02-25 07:13:28,545 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 20:22:02, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9694, aux.loss_ce: 0.0275, aux.acc_seg: 97.2317, loss: 0.0765 2023-02-25 07:14:25,201 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 20:21:03, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8095, aux.loss_ce: 0.0291, aux.acc_seg: 97.0447, loss: 0.0817 2023-02-25 07:15:25,248 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 20:20:07, time: 1.201, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8334, aux.loss_ce: 0.0278, aux.acc_seg: 97.1745, loss: 0.0798 2023-02-25 07:16:21,985 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 20:19:08, time: 1.135, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8552, aux.loss_ce: 0.0276, aux.acc_seg: 97.1927, loss: 0.0788 2023-02-25 07:17:18,832 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 20:18:09, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8175, aux.loss_ce: 0.0289, aux.acc_seg: 97.0745, loss: 0.0816 2023-02-25 07:18:15,632 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 20:17:11, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0558, decode.acc_seg: 97.7038, aux.loss_ce: 0.0296, aux.acc_seg: 97.0497, loss: 0.0854 2023-02-25 07:19:16,377 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 20:16:15, time: 1.215, data_time: 0.093, memory: 27881, decode.loss_ce: 0.0550, decode.acc_seg: 97.7223, aux.loss_ce: 0.0297, aux.acc_seg: 97.0174, loss: 0.0847 2023-02-25 07:20:13,128 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:20:13,130 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 20:15:16, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8439, aux.loss_ce: 0.0284, aux.acc_seg: 97.1205, loss: 0.0803 2023-02-25 07:21:09,882 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 20:14:18, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.9013, aux.loss_ce: 0.0280, aux.acc_seg: 97.1890, loss: 0.0787 2023-02-25 07:22:09,497 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 20:13:21, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.9004, aux.loss_ce: 0.0285, aux.acc_seg: 97.1388, loss: 0.0793 2023-02-25 07:23:06,239 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 20:12:22, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0534, decode.acc_seg: 97.7872, aux.loss_ce: 0.0291, aux.acc_seg: 97.0537, loss: 0.0825 2023-02-25 07:24:03,058 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 20:11:24, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0540, decode.acc_seg: 97.7608, aux.loss_ce: 0.0298, aux.acc_seg: 96.9970, loss: 0.0839 2023-02-25 07:24:59,845 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 20:10:25, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8978, aux.loss_ce: 0.0289, aux.acc_seg: 97.0824, loss: 0.0798 2023-02-25 07:25:59,506 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 20:09:29, time: 1.193, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8444, aux.loss_ce: 0.0282, aux.acc_seg: 97.1396, loss: 0.0800 2023-02-25 07:26:56,302 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 20:08:30, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9141, aux.loss_ce: 0.0281, aux.acc_seg: 97.1229, loss: 0.0780 2023-02-25 07:27:53,167 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 20:07:31, time: 1.138, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9158, aux.loss_ce: 0.0282, aux.acc_seg: 97.1391, loss: 0.0782 2023-02-25 07:28:49,979 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 20:06:33, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8709, aux.loss_ce: 0.0275, aux.acc_seg: 97.2246, loss: 0.0789 2023-02-25 07:29:49,687 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 20:05:36, time: 1.194, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8186, aux.loss_ce: 0.0291, aux.acc_seg: 97.0691, loss: 0.0817 2023-02-25 07:30:46,410 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 20:04:38, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9266, aux.loss_ce: 0.0271, aux.acc_seg: 97.2652, loss: 0.0772 2023-02-25 07:31:43,136 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 20:03:39, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8679, aux.loss_ce: 0.0290, aux.acc_seg: 97.0834, loss: 0.0805 2023-02-25 07:32:39,882 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 20:02:40, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8833, aux.loss_ce: 0.0281, aux.acc_seg: 97.1584, loss: 0.0794 2023-02-25 07:33:39,366 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 20:01:44, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.8876, aux.loss_ce: 0.0277, aux.acc_seg: 97.1840, loss: 0.0779 2023-02-25 07:34:36,078 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 20:00:45, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8817, aux.loss_ce: 0.0285, aux.acc_seg: 97.1287, loss: 0.0797 2023-02-25 07:35:33,010 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 19:59:47, time: 1.139, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8335, aux.loss_ce: 0.0286, aux.acc_seg: 97.1321, loss: 0.0807 2023-02-25 07:36:33,158 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 19:58:50, time: 1.203, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0533, decode.acc_seg: 97.7752, aux.loss_ce: 0.0293, aux.acc_seg: 97.0204, loss: 0.0826 2023-02-25 07:37:29,915 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 19:57:52, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8095, aux.loss_ce: 0.0288, aux.acc_seg: 97.0752, loss: 0.0813 2023-02-25 07:38:26,600 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 19:56:53, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9515, aux.loss_ce: 0.0269, aux.acc_seg: 97.2723, loss: 0.0761 2023-02-25 07:39:23,279 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:39:23,280 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 19:55:54, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8845, aux.loss_ce: 0.0283, aux.acc_seg: 97.1302, loss: 0.0792 2023-02-25 07:40:23,502 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 19:54:58, time: 1.205, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0564, decode.acc_seg: 97.6830, aux.loss_ce: 0.0305, aux.acc_seg: 96.9533, loss: 0.0869 2023-02-25 07:41:20,154 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 19:53:59, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0532, decode.acc_seg: 97.8000, aux.loss_ce: 0.0297, aux.acc_seg: 97.0036, loss: 0.0829 2023-02-25 07:42:16,747 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 19:53:01, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9540, aux.loss_ce: 0.0278, aux.acc_seg: 97.1805, loss: 0.0771 2023-02-25 07:43:13,428 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 19:52:02, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9199, aux.loss_ce: 0.0284, aux.acc_seg: 97.1610, loss: 0.0789 2023-02-25 07:44:13,013 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 19:51:05, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9017, aux.loss_ce: 0.0276, aux.acc_seg: 97.2225, loss: 0.0781 2023-02-25 07:45:09,642 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 19:50:07, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8926, aux.loss_ce: 0.0284, aux.acc_seg: 97.1486, loss: 0.0796 2023-02-25 07:46:06,273 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 19:49:08, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8394, aux.loss_ce: 0.0292, aux.acc_seg: 97.0700, loss: 0.0811 2023-02-25 07:47:06,046 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 19:48:11, time: 1.195, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9919, aux.loss_ce: 0.0273, aux.acc_seg: 97.2372, loss: 0.0753 2023-02-25 07:48:03,215 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 19:47:13, time: 1.143, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8790, aux.loss_ce: 0.0282, aux.acc_seg: 97.1497, loss: 0.0792 2023-02-25 07:48:59,793 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 19:46:14, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9182, aux.loss_ce: 0.0289, aux.acc_seg: 97.0754, loss: 0.0789 2023-02-25 07:49:56,375 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 19:45:16, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8646, aux.loss_ce: 0.0284, aux.acc_seg: 97.1362, loss: 0.0800 2023-02-25 07:50:56,183 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 19:44:19, time: 1.196, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8518, aux.loss_ce: 0.0278, aux.acc_seg: 97.1909, loss: 0.0798 2023-02-25 07:51:53,286 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 19:43:21, time: 1.142, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8097, aux.loss_ce: 0.0287, aux.acc_seg: 97.0882, loss: 0.0813 2023-02-25 07:52:49,988 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 19:42:22, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8574, aux.loss_ce: 0.0287, aux.acc_seg: 97.1282, loss: 0.0806 2023-02-25 07:53:46,547 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 19:41:23, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9327, aux.loss_ce: 0.0272, aux.acc_seg: 97.2495, loss: 0.0770 2023-02-25 07:54:46,350 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 19:40:27, time: 1.196, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9026, aux.loss_ce: 0.0285, aux.acc_seg: 97.1201, loss: 0.0791 2023-02-25 07:55:43,341 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 19:39:28, time: 1.140, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9799, aux.loss_ce: 0.0276, aux.acc_seg: 97.1981, loss: 0.0761 2023-02-25 07:56:39,983 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 19:38:30, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8675, aux.loss_ce: 0.0285, aux.acc_seg: 97.1319, loss: 0.0801 2023-02-25 07:57:36,686 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 19:37:31, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8655, aux.loss_ce: 0.0288, aux.acc_seg: 97.0944, loss: 0.0799 2023-02-25 07:58:36,778 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:58:36,783 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 19:36:35, time: 1.202, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8234, aux.loss_ce: 0.0279, aux.acc_seg: 97.1798, loss: 0.0802 2023-02-25 07:59:33,550 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 19:35:36, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0527, decode.acc_seg: 97.8046, aux.loss_ce: 0.0285, aux.acc_seg: 97.1168, loss: 0.0812 2023-02-25 08:00:30,193 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 19:34:37, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8467, aux.loss_ce: 0.0280, aux.acc_seg: 97.1780, loss: 0.0800 2023-02-25 08:01:29,734 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 19:33:41, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9276, aux.loss_ce: 0.0286, aux.acc_seg: 97.1338, loss: 0.0788 2023-02-25 08:02:26,469 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 19:32:42, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8737, aux.loss_ce: 0.0285, aux.acc_seg: 97.1477, loss: 0.0804 2023-02-25 08:03:23,517 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 19:31:44, time: 1.141, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0538, decode.acc_seg: 97.7789, aux.loss_ce: 0.0288, aux.acc_seg: 97.0988, loss: 0.0826 2023-02-25 08:04:20,186 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 19:30:45, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.7816, aux.loss_ce: 0.0286, aux.acc_seg: 97.1011, loss: 0.0816 2023-02-25 08:05:19,664 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 19:29:48, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9303, aux.loss_ce: 0.0274, aux.acc_seg: 97.2200, loss: 0.0770 2023-02-25 08:06:16,350 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 19:28:50, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9126, aux.loss_ce: 0.0285, aux.acc_seg: 97.1262, loss: 0.0790 2023-02-25 08:07:13,574 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 19:27:51, time: 1.144, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9085, aux.loss_ce: 0.0274, aux.acc_seg: 97.2115, loss: 0.0775 2023-02-25 08:08:10,179 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 19:26:53, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.8845, aux.loss_ce: 0.0274, aux.acc_seg: 97.1950, loss: 0.0777 2023-02-25 08:09:09,783 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 19:25:56, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.7989, aux.loss_ce: 0.0286, aux.acc_seg: 97.0808, loss: 0.0810 2023-02-25 08:10:06,456 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 19:24:57, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8729, aux.loss_ce: 0.0286, aux.acc_seg: 97.1458, loss: 0.0800 2023-02-25 08:11:03,692 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 19:23:59, time: 1.144, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0561, decode.acc_seg: 97.6696, aux.loss_ce: 0.0295, aux.acc_seg: 97.0219, loss: 0.0856 2023-02-25 08:12:03,179 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 19:23:02, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8810, aux.loss_ce: 0.0279, aux.acc_seg: 97.1745, loss: 0.0790 2023-02-25 08:12:59,809 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 19:22:04, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0545, decode.acc_seg: 97.8155, aux.loss_ce: 0.0293, aux.acc_seg: 97.0876, loss: 0.0838 2023-02-25 08:13:56,432 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 19:21:05, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8244, aux.loss_ce: 0.0285, aux.acc_seg: 97.0949, loss: 0.0805 2023-02-25 08:14:53,620 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 19:20:07, time: 1.144, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8443, aux.loss_ce: 0.0277, aux.acc_seg: 97.1784, loss: 0.0792 2023-02-25 08:15:53,339 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 19:19:10, time: 1.194, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8501, aux.loss_ce: 0.0292, aux.acc_seg: 97.0486, loss: 0.0808 2023-02-25 08:16:50,061 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 19:18:11, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8735, aux.loss_ce: 0.0280, aux.acc_seg: 97.1515, loss: 0.0790 2023-02-25 08:17:46,747 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:17:47,047 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 19:17:13, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9969, aux.loss_ce: 0.0272, aux.acc_seg: 97.2519, loss: 0.0757 2023-02-25 08:18:43,668 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 19:16:14, time: 1.138, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9160, aux.loss_ce: 0.0280, aux.acc_seg: 97.1675, loss: 0.0781 2023-02-25 08:19:43,824 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 19:15:18, time: 1.203, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9262, aux.loss_ce: 0.0281, aux.acc_seg: 97.1647, loss: 0.0783 2023-02-25 08:20:40,538 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 19:14:19, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9205, aux.loss_ce: 0.0279, aux.acc_seg: 97.1651, loss: 0.0778 2023-02-25 08:21:37,283 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 19:13:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8774, aux.loss_ce: 0.0280, aux.acc_seg: 97.1579, loss: 0.0791 2023-02-25 08:22:33,900 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 19:12:22, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0491, decode.acc_seg: 97.9596, aux.loss_ce: 0.0270, aux.acc_seg: 97.2451, loss: 0.0761 2023-02-25 08:23:33,543 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 19:11:26, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9033, aux.loss_ce: 0.0279, aux.acc_seg: 97.1745, loss: 0.0780 2023-02-25 08:24:30,294 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 19:10:27, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8081, aux.loss_ce: 0.0288, aux.acc_seg: 97.0718, loss: 0.0814 2023-02-25 08:25:26,944 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 19:09:28, time: 1.133, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9450, aux.loss_ce: 0.0273, aux.acc_seg: 97.2469, loss: 0.0771 2023-02-25 08:26:26,864 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 19:08:32, time: 1.198, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9170, aux.loss_ce: 0.0271, aux.acc_seg: 97.2484, loss: 0.0771 2023-02-25 08:27:24,093 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 19:07:34, time: 1.145, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8611, aux.loss_ce: 0.0284, aux.acc_seg: 97.1190, loss: 0.0796 2023-02-25 08:28:20,686 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 19:06:35, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8936, aux.loss_ce: 0.0282, aux.acc_seg: 97.1415, loss: 0.0792 2023-02-25 08:29:17,450 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 19:05:36, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9038, aux.loss_ce: 0.0272, aux.acc_seg: 97.2334, loss: 0.0774 2023-02-25 08:30:16,842 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 19:04:39, time: 1.188, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8449, aux.loss_ce: 0.0291, aux.acc_seg: 97.0919, loss: 0.0811 2023-02-25 08:31:14,046 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 19:03:41, time: 1.144, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9166, aux.loss_ce: 0.0283, aux.acc_seg: 97.1136, loss: 0.0781 2023-02-25 08:32:10,764 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 19:02:43, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8695, aux.loss_ce: 0.0277, aux.acc_seg: 97.1997, loss: 0.0793 2023-02-25 08:33:07,443 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 19:01:44, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9352, aux.loss_ce: 0.0279, aux.acc_seg: 97.1705, loss: 0.0778 2023-02-25 08:34:07,093 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 19:00:47, time: 1.193, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9192, aux.loss_ce: 0.0278, aux.acc_seg: 97.1933, loss: 0.0782 2023-02-25 08:35:04,192 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 18:59:49, time: 1.142, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8766, aux.loss_ce: 0.0279, aux.acc_seg: 97.1696, loss: 0.0789 2023-02-25 08:36:00,823 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 18:58:50, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8671, aux.loss_ce: 0.0291, aux.acc_seg: 97.0687, loss: 0.0805 2023-02-25 08:37:01,134 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:37:01,138 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 18:57:54, time: 1.206, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9119, aux.loss_ce: 0.0283, aux.acc_seg: 97.1270, loss: 0.0786 2023-02-25 08:37:57,867 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 18:56:56, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9303, aux.loss_ce: 0.0276, aux.acc_seg: 97.2066, loss: 0.0775 2023-02-25 08:38:54,678 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 18:55:57, time: 1.136, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0537, decode.acc_seg: 97.7785, aux.loss_ce: 0.0290, aux.acc_seg: 97.0842, loss: 0.0827 2023-02-25 08:39:51,401 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 18:54:59, time: 1.134, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0041, aux.loss_ce: 0.0279, aux.acc_seg: 97.1915, loss: 0.0757 2023-02-25 08:40:51,615 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 18:54:02, time: 1.204, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8235, aux.loss_ce: 0.0290, aux.acc_seg: 97.0578, loss: 0.0813 2023-02-25 08:41:48,253 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 18:53:03, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0506, decode.acc_seg: 97.9044, aux.loss_ce: 0.0282, aux.acc_seg: 97.1581, loss: 0.0788 2023-02-25 08:42:44,980 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 18:52:05, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9685, aux.loss_ce: 0.0277, aux.acc_seg: 97.1957, loss: 0.0763 2023-02-25 08:43:41,576 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 18:51:06, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8519, aux.loss_ce: 0.0286, aux.acc_seg: 97.1067, loss: 0.0802 2023-02-25 08:44:41,825 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 18:50:10, time: 1.205, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8976, aux.loss_ce: 0.0276, aux.acc_seg: 97.2174, loss: 0.0784 2023-02-25 08:45:38,487 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 18:49:11, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9023, aux.loss_ce: 0.0273, aux.acc_seg: 97.2309, loss: 0.0775 2023-02-25 08:46:35,103 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 18:48:13, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0542, decode.acc_seg: 97.7840, aux.loss_ce: 0.0288, aux.acc_seg: 97.1277, loss: 0.0829 2023-02-25 08:47:31,727 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 18:47:14, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9220, aux.loss_ce: 0.0274, aux.acc_seg: 97.2430, loss: 0.0774 2023-02-25 08:48:31,493 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 18:46:17, time: 1.195, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.7795, aux.loss_ce: 0.0282, aux.acc_seg: 97.1182, loss: 0.0812 2023-02-25 08:49:28,113 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 18:45:19, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9136, aux.loss_ce: 0.0279, aux.acc_seg: 97.1636, loss: 0.0777 2023-02-25 08:50:24,865 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 18:44:20, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8877, aux.loss_ce: 0.0282, aux.acc_seg: 97.1585, loss: 0.0792 2023-02-25 08:51:24,511 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 18:43:24, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9605, aux.loss_ce: 0.0276, aux.acc_seg: 97.2174, loss: 0.0769 2023-02-25 08:52:21,193 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 18:42:25, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9204, aux.loss_ce: 0.0273, aux.acc_seg: 97.2526, loss: 0.0774 2023-02-25 08:53:17,912 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 18:41:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8549, aux.loss_ce: 0.0287, aux.acc_seg: 97.1173, loss: 0.0804 2023-02-25 08:54:14,900 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 18:40:28, time: 1.140, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.8926, aux.loss_ce: 0.0275, aux.acc_seg: 97.1951, loss: 0.0778 2023-02-25 08:55:14,582 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 18:39:31, time: 1.194, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9364, aux.loss_ce: 0.0281, aux.acc_seg: 97.1561, loss: 0.0777 2023-02-25 08:56:11,310 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:56:11,311 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 18:38:33, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8488, aux.loss_ce: 0.0281, aux.acc_seg: 97.1474, loss: 0.0797 2023-02-25 08:57:08,038 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 18:37:34, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8722, aux.loss_ce: 0.0279, aux.acc_seg: 97.2034, loss: 0.0794 2023-02-25 08:58:04,835 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 18:36:36, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8862, aux.loss_ce: 0.0279, aux.acc_seg: 97.1665, loss: 0.0786 2023-02-25 08:59:04,791 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 18:35:39, time: 1.199, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9336, aux.loss_ce: 0.0281, aux.acc_seg: 97.1533, loss: 0.0776 2023-02-25 09:00:01,466 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 18:34:41, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0491, decode.acc_seg: 97.9450, aux.loss_ce: 0.0273, aux.acc_seg: 97.2362, loss: 0.0763 2023-02-25 09:00:58,351 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 18:33:42, time: 1.138, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.8981, aux.loss_ce: 0.0278, aux.acc_seg: 97.1667, loss: 0.0780 2023-02-25 09:01:55,131 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 18:32:44, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9612, aux.loss_ce: 0.0273, aux.acc_seg: 97.2327, loss: 0.0761 2023-02-25 09:02:55,121 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 18:31:47, time: 1.200, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8602, aux.loss_ce: 0.0274, aux.acc_seg: 97.2154, loss: 0.0788 2023-02-25 09:03:51,839 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 18:30:49, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8675, aux.loss_ce: 0.0286, aux.acc_seg: 97.1134, loss: 0.0801 2023-02-25 09:04:48,509 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 18:29:50, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8247, aux.loss_ce: 0.0284, aux.acc_seg: 97.1108, loss: 0.0801 2023-02-25 09:05:48,002 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 18:28:53, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9695, aux.loss_ce: 0.0278, aux.acc_seg: 97.1972, loss: 0.0767 2023-02-25 09:06:44,787 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 18:27:55, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8518, aux.loss_ce: 0.0285, aux.acc_seg: 97.1227, loss: 0.0800 2023-02-25 09:07:41,460 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 18:26:56, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8231, aux.loss_ce: 0.0286, aux.acc_seg: 97.1015, loss: 0.0806 2023-02-25 09:08:38,173 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 18:25:58, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0518, decode.acc_seg: 97.8577, aux.loss_ce: 0.0279, aux.acc_seg: 97.2087, loss: 0.0797 2023-02-25 09:09:37,645 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 18:25:01, time: 1.189, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8796, aux.loss_ce: 0.0279, aux.acc_seg: 97.1666, loss: 0.0787 2023-02-25 09:10:34,307 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 18:24:02, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8808, aux.loss_ce: 0.0282, aux.acc_seg: 97.1532, loss: 0.0789 2023-02-25 09:11:31,072 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 18:23:04, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9690, aux.loss_ce: 0.0272, aux.acc_seg: 97.2439, loss: 0.0760 2023-02-25 09:12:27,798 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 18:22:05, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9546, aux.loss_ce: 0.0271, aux.acc_seg: 97.2582, loss: 0.0763 2023-02-25 09:13:27,805 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 18:21:09, time: 1.200, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9715, aux.loss_ce: 0.0277, aux.acc_seg: 97.2007, loss: 0.0764 2023-02-25 09:14:24,922 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 18:20:10, time: 1.142, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9508, aux.loss_ce: 0.0272, aux.acc_seg: 97.2159, loss: 0.0762 2023-02-25 09:15:21,697 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:15:21,700 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 18:19:12, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9844, aux.loss_ce: 0.0274, aux.acc_seg: 97.2099, loss: 0.0753 2023-02-25 09:16:21,298 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 18:18:15, time: 1.192, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9262, aux.loss_ce: 0.0279, aux.acc_seg: 97.1837, loss: 0.0778 2023-02-25 09:17:17,954 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 18:17:17, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9387, aux.loss_ce: 0.0276, aux.acc_seg: 97.2074, loss: 0.0770 2023-02-25 09:18:14,992 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 18:16:18, time: 1.141, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9028, aux.loss_ce: 0.0281, aux.acc_seg: 97.1515, loss: 0.0786 2023-02-25 09:19:11,647 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 18:15:20, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9652, aux.loss_ce: 0.0281, aux.acc_seg: 97.2003, loss: 0.0771 2023-02-25 09:20:11,849 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 18:14:23, time: 1.204, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8855, aux.loss_ce: 0.0288, aux.acc_seg: 97.1249, loss: 0.0797 2023-02-25 09:21:08,677 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 18:13:25, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.8180, aux.loss_ce: 0.0284, aux.acc_seg: 97.1319, loss: 0.0811 2023-02-25 09:22:05,399 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 18:12:26, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9844, aux.loss_ce: 0.0272, aux.acc_seg: 97.2533, loss: 0.0755 2023-02-25 09:23:02,135 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 18:11:28, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0524, decode.acc_seg: 97.8154, aux.loss_ce: 0.0281, aux.acc_seg: 97.1481, loss: 0.0805 2023-02-25 09:24:02,232 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 18:10:31, time: 1.202, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8798, aux.loss_ce: 0.0285, aux.acc_seg: 97.1432, loss: 0.0799 2023-02-25 09:24:59,039 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 18:09:33, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9948, aux.loss_ce: 0.0280, aux.acc_seg: 97.1439, loss: 0.0761 2023-02-25 09:25:55,895 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 18:08:34, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9057, aux.loss_ce: 0.0278, aux.acc_seg: 97.1921, loss: 0.0779 2023-02-25 09:26:52,612 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 18:07:36, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8572, aux.loss_ce: 0.0279, aux.acc_seg: 97.1625, loss: 0.0793 2023-02-25 09:27:52,248 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 18:06:39, time: 1.193, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9457, aux.loss_ce: 0.0273, aux.acc_seg: 97.2174, loss: 0.0768 2023-02-25 09:28:49,006 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 18:05:41, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8965, aux.loss_ce: 0.0274, aux.acc_seg: 97.2512, loss: 0.0784 2023-02-25 09:29:45,746 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 18:04:42, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0506, decode.acc_seg: 97.8890, aux.loss_ce: 0.0281, aux.acc_seg: 97.1436, loss: 0.0787 2023-02-25 09:30:45,198 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 18:03:45, time: 1.189, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0504, decode.acc_seg: 97.9074, aux.loss_ce: 0.0277, aux.acc_seg: 97.1967, loss: 0.0781 2023-02-25 09:31:41,832 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 18:02:47, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0520, decode.acc_seg: 97.8479, aux.loss_ce: 0.0286, aux.acc_seg: 97.1243, loss: 0.0806 2023-02-25 09:32:38,473 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 18:01:48, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8614, aux.loss_ce: 0.0279, aux.acc_seg: 97.1666, loss: 0.0790 2023-02-25 09:33:35,182 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 18:00:50, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8839, aux.loss_ce: 0.0289, aux.acc_seg: 97.0673, loss: 0.0797 2023-02-25 09:34:34,675 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:34:34,675 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 17:59:53, time: 1.190, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9056, aux.loss_ce: 0.0275, aux.acc_seg: 97.2235, loss: 0.0780 2023-02-25 09:35:31,437 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 17:58:54, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0537, decode.acc_seg: 97.7994, aux.loss_ce: 0.0288, aux.acc_seg: 97.0936, loss: 0.0825 2023-02-25 09:36:28,194 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 17:57:56, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0525, decode.acc_seg: 97.8324, aux.loss_ce: 0.0278, aux.acc_seg: 97.2161, loss: 0.0803 2023-02-25 09:37:24,940 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 17:56:57, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8770, aux.loss_ce: 0.0279, aux.acc_seg: 97.1791, loss: 0.0790 2023-02-25 09:38:24,467 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 17:56:00, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0528, decode.acc_seg: 97.7874, aux.loss_ce: 0.0293, aux.acc_seg: 97.0348, loss: 0.0820 2023-02-25 09:39:21,100 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 17:55:02, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9515, aux.loss_ce: 0.0276, aux.acc_seg: 97.1915, loss: 0.0766 2023-02-25 09:40:17,771 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 17:54:03, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8281, aux.loss_ce: 0.0292, aux.acc_seg: 97.0567, loss: 0.0814 2023-02-25 09:41:17,255 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 17:53:06, time: 1.189, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9425, aux.loss_ce: 0.0273, aux.acc_seg: 97.2383, loss: 0.0768 2023-02-25 09:42:13,997 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 17:52:08, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.7911, aux.loss_ce: 0.0288, aux.acc_seg: 97.0820, loss: 0.0818 2023-02-25 09:43:10,662 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 17:51:10, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8960, aux.loss_ce: 0.0279, aux.acc_seg: 97.1704, loss: 0.0785 2023-02-25 09:44:07,307 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 17:50:11, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9254, aux.loss_ce: 0.0282, aux.acc_seg: 97.1504, loss: 0.0782 2023-02-25 09:45:06,992 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 17:49:14, time: 1.194, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9496, aux.loss_ce: 0.0282, aux.acc_seg: 97.1358, loss: 0.0772 2023-02-25 09:46:03,687 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 17:48:16, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0521, decode.acc_seg: 97.8408, aux.loss_ce: 0.0276, aux.acc_seg: 97.2094, loss: 0.0797 2023-02-25 09:47:00,358 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 17:47:17, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9596, aux.loss_ce: 0.0268, aux.acc_seg: 97.2690, loss: 0.0755 2023-02-25 09:47:56,991 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 17:46:19, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9385, aux.loss_ce: 0.0278, aux.acc_seg: 97.2050, loss: 0.0778 2023-02-25 09:48:56,641 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 17:45:22, time: 1.193, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8831, aux.loss_ce: 0.0279, aux.acc_seg: 97.1820, loss: 0.0788 2023-02-25 09:49:53,330 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 17:44:23, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0339, aux.loss_ce: 0.0268, aux.acc_seg: 97.2767, loss: 0.0740 2023-02-25 09:50:50,598 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 17:43:25, time: 1.145, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9146, aux.loss_ce: 0.0278, aux.acc_seg: 97.1888, loss: 0.0780 2023-02-25 09:51:47,303 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 17:42:27, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9309, aux.loss_ce: 0.0277, aux.acc_seg: 97.1988, loss: 0.0773 2023-02-25 09:52:47,108 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 17:41:30, time: 1.196, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9506, aux.loss_ce: 0.0274, aux.acc_seg: 97.2520, loss: 0.0768 2023-02-25 09:53:43,868 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:53:43,868 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 17:40:32, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9556, aux.loss_ce: 0.0274, aux.acc_seg: 97.2260, loss: 0.0765 2023-02-25 09:54:40,406 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 17:39:33, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0423, aux.loss_ce: 0.0270, aux.acc_seg: 97.2406, loss: 0.0740 2023-02-25 09:55:40,583 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 17:38:36, time: 1.204, data_time: 0.084, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8312, aux.loss_ce: 0.0282, aux.acc_seg: 97.1629, loss: 0.0804 2023-02-25 09:56:37,215 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 17:37:38, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8958, aux.loss_ce: 0.0284, aux.acc_seg: 97.1433, loss: 0.0792 2023-02-25 09:57:33,824 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 17:36:39, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9813, aux.loss_ce: 0.0270, aux.acc_seg: 97.2547, loss: 0.0754 2023-02-25 09:58:30,504 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 17:35:41, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8650, aux.loss_ce: 0.0286, aux.acc_seg: 97.0911, loss: 0.0800 2023-02-25 09:59:30,091 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 17:34:44, time: 1.192, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9198, aux.loss_ce: 0.0278, aux.acc_seg: 97.1773, loss: 0.0777 2023-02-25 10:00:26,841 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 17:33:46, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9936, aux.loss_ce: 0.0273, aux.acc_seg: 97.2304, loss: 0.0753 2023-02-25 10:01:23,526 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 17:32:47, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0506, decode.acc_seg: 97.8726, aux.loss_ce: 0.0280, aux.acc_seg: 97.1662, loss: 0.0786 2023-02-25 10:02:20,436 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 17:31:49, time: 1.138, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9571, aux.loss_ce: 0.0277, aux.acc_seg: 97.1981, loss: 0.0766 2023-02-25 10:03:19,930 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 17:30:52, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9788, aux.loss_ce: 0.0278, aux.acc_seg: 97.2000, loss: 0.0764 2023-02-25 10:04:16,633 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 17:29:53, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0523, decode.acc_seg: 97.8341, aux.loss_ce: 0.0284, aux.acc_seg: 97.1236, loss: 0.0806 2023-02-25 10:05:13,312 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 17:28:55, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 98.0089, aux.loss_ce: 0.0261, aux.acc_seg: 97.3634, loss: 0.0740 2023-02-25 10:06:13,452 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 17:27:58, time: 1.203, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8501, aux.loss_ce: 0.0287, aux.acc_seg: 97.0702, loss: 0.0802 2023-02-25 10:07:10,526 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 17:27:00, time: 1.141, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9662, aux.loss_ce: 0.0270, aux.acc_seg: 97.2664, loss: 0.0760 2023-02-25 10:08:07,214 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 17:26:02, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9778, aux.loss_ce: 0.0270, aux.acc_seg: 97.2454, loss: 0.0753 2023-02-25 10:09:03,936 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 17:25:03, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9323, aux.loss_ce: 0.0277, aux.acc_seg: 97.1987, loss: 0.0775 2023-02-25 10:10:03,746 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 17:24:06, time: 1.196, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8716, aux.loss_ce: 0.0285, aux.acc_seg: 97.0931, loss: 0.0795 2023-02-25 10:11:00,904 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 17:23:08, time: 1.143, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9422, aux.loss_ce: 0.0270, aux.acc_seg: 97.2730, loss: 0.0767 2023-02-25 10:11:57,538 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 17:22:10, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9463, aux.loss_ce: 0.0274, aux.acc_seg: 97.2091, loss: 0.0766 2023-02-25 10:12:54,111 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:12:54,174 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 17:21:11, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8851, aux.loss_ce: 0.0275, aux.acc_seg: 97.1846, loss: 0.0780 2023-02-25 10:13:54,069 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 17:20:14, time: 1.199, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9107, aux.loss_ce: 0.0275, aux.acc_seg: 97.2379, loss: 0.0778 2023-02-25 10:14:50,946 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 17:19:16, time: 1.138, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9245, aux.loss_ce: 0.0273, aux.acc_seg: 97.2372, loss: 0.0770 2023-02-25 10:15:47,678 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 17:18:18, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0539, decode.acc_seg: 97.8464, aux.loss_ce: 0.0291, aux.acc_seg: 97.0983, loss: 0.0830 2023-02-25 10:16:44,378 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 17:17:19, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9273, aux.loss_ce: 0.0270, aux.acc_seg: 97.2562, loss: 0.0770 2023-02-25 10:17:44,794 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 17:16:23, time: 1.208, data_time: 0.089, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9354, aux.loss_ce: 0.0270, aux.acc_seg: 97.2644, loss: 0.0764 2023-02-25 10:18:41,352 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 17:15:24, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8910, aux.loss_ce: 0.0277, aux.acc_seg: 97.1956, loss: 0.0784 2023-02-25 10:19:38,135 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 17:14:26, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9970, aux.loss_ce: 0.0271, aux.acc_seg: 97.2668, loss: 0.0753 2023-02-25 10:20:37,703 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 17:13:29, time: 1.192, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0530, decode.acc_seg: 97.7830, aux.loss_ce: 0.0285, aux.acc_seg: 97.1167, loss: 0.0815 2023-02-25 10:21:34,367 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 17:12:30, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9826, aux.loss_ce: 0.0274, aux.acc_seg: 97.2320, loss: 0.0759 2023-02-25 10:22:31,202 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 17:11:32, time: 1.137, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9195, aux.loss_ce: 0.0270, aux.acc_seg: 97.2528, loss: 0.0765 2023-02-25 10:23:27,918 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 17:10:34, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9767, aux.loss_ce: 0.0267, aux.acc_seg: 97.2983, loss: 0.0753 2023-02-25 10:24:27,479 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 17:09:37, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8724, aux.loss_ce: 0.0281, aux.acc_seg: 97.1435, loss: 0.0791 2023-02-25 10:25:24,197 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 17:08:38, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8886, aux.loss_ce: 0.0275, aux.acc_seg: 97.2012, loss: 0.0780 2023-02-25 10:26:20,993 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 17:07:40, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9559, aux.loss_ce: 0.0270, aux.acc_seg: 97.2675, loss: 0.0762 2023-02-25 10:27:17,608 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 17:06:41, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8879, aux.loss_ce: 0.0282, aux.acc_seg: 97.1553, loss: 0.0789 2023-02-25 10:28:17,186 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 17:05:44, time: 1.191, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8028, aux.loss_ce: 0.0286, aux.acc_seg: 97.0901, loss: 0.0812 2023-02-25 10:29:13,831 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 17:04:46, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9100, aux.loss_ce: 0.0282, aux.acc_seg: 97.1651, loss: 0.0785 2023-02-25 10:30:10,964 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 17:03:48, time: 1.143, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0517, decode.acc_seg: 97.8455, aux.loss_ce: 0.0283, aux.acc_seg: 97.1119, loss: 0.0799 2023-02-25 10:31:07,533 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 17:02:49, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8773, aux.loss_ce: 0.0278, aux.acc_seg: 97.1684, loss: 0.0787 2023-02-25 10:32:07,227 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:32:07,228 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 17:01:52, time: 1.194, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9348, aux.loss_ce: 0.0280, aux.acc_seg: 97.1697, loss: 0.0777 2023-02-25 10:33:03,920 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 17:00:54, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9464, aux.loss_ce: 0.0275, aux.acc_seg: 97.2268, loss: 0.0768 2023-02-25 10:34:01,176 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 16:59:56, time: 1.145, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8795, aux.loss_ce: 0.0277, aux.acc_seg: 97.2004, loss: 0.0783 2023-02-25 10:35:01,183 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 16:58:59, time: 1.200, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.8970, aux.loss_ce: 0.0270, aux.acc_seg: 97.2568, loss: 0.0773 2023-02-25 10:35:57,890 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 16:58:01, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.8952, aux.loss_ce: 0.0271, aux.acc_seg: 97.2352, loss: 0.0772 2023-02-25 10:36:54,566 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 16:57:02, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8953, aux.loss_ce: 0.0277, aux.acc_seg: 97.2005, loss: 0.0785 2023-02-25 10:37:51,238 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 16:56:04, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9316, aux.loss_ce: 0.0275, aux.acc_seg: 97.1984, loss: 0.0769 2023-02-25 10:38:50,758 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 16:55:07, time: 1.190, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 98.0073, aux.loss_ce: 0.0270, aux.acc_seg: 97.2682, loss: 0.0749 2023-02-25 10:39:47,520 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 16:54:09, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8932, aux.loss_ce: 0.0282, aux.acc_seg: 97.1617, loss: 0.0791 2023-02-25 10:40:44,191 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 16:53:10, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9196, aux.loss_ce: 0.0274, aux.acc_seg: 97.2191, loss: 0.0769 2023-02-25 10:41:41,117 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 16:52:12, time: 1.138, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8740, aux.loss_ce: 0.0283, aux.acc_seg: 97.1110, loss: 0.0793 2023-02-25 10:42:40,678 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 16:51:15, time: 1.191, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0515, decode.acc_seg: 97.8526, aux.loss_ce: 0.0279, aux.acc_seg: 97.1798, loss: 0.0794 2023-02-25 10:43:37,345 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 16:50:16, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0132, aux.loss_ce: 0.0267, aux.acc_seg: 97.2892, loss: 0.0742 2023-02-25 10:44:34,036 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 16:49:18, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8748, aux.loss_ce: 0.0276, aux.acc_seg: 97.1831, loss: 0.0783 2023-02-25 10:45:34,151 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 16:48:21, time: 1.202, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.8974, aux.loss_ce: 0.0267, aux.acc_seg: 97.2600, loss: 0.0768 2023-02-25 10:46:31,137 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 16:47:23, time: 1.140, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0526, decode.acc_seg: 97.8191, aux.loss_ce: 0.0284, aux.acc_seg: 97.1222, loss: 0.0810 2023-02-25 10:47:27,882 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 16:46:25, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9381, aux.loss_ce: 0.0278, aux.acc_seg: 97.1945, loss: 0.0777 2023-02-25 10:48:24,658 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 16:45:26, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9295, aux.loss_ce: 0.0268, aux.acc_seg: 97.2797, loss: 0.0763 2023-02-25 10:49:24,174 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 16:44:29, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0153, aux.loss_ce: 0.0266, aux.acc_seg: 97.2932, loss: 0.0741 2023-02-25 10:50:21,290 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 16:43:31, time: 1.142, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9598, aux.loss_ce: 0.0272, aux.acc_seg: 97.2518, loss: 0.0762 2023-02-25 10:51:18,041 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:51:18,042 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 16:42:33, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9103, aux.loss_ce: 0.0280, aux.acc_seg: 97.1701, loss: 0.0782 2023-02-25 10:52:14,762 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 16:41:34, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9818, aux.loss_ce: 0.0272, aux.acc_seg: 97.2188, loss: 0.0755 2023-02-25 10:53:14,398 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 16:40:37, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9725, aux.loss_ce: 0.0270, aux.acc_seg: 97.2687, loss: 0.0758 2023-02-25 10:54:11,253 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 16:39:39, time: 1.137, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8617, aux.loss_ce: 0.0282, aux.acc_seg: 97.1408, loss: 0.0794 2023-02-25 10:55:07,950 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 16:38:41, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0934, aux.loss_ce: 0.0252, aux.acc_seg: 97.4227, loss: 0.0705 2023-02-25 10:56:04,644 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 16:37:42, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0244, aux.loss_ce: 0.0267, aux.acc_seg: 97.2866, loss: 0.0740 2023-02-25 10:57:04,955 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 16:36:46, time: 1.206, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9099, aux.loss_ce: 0.0274, aux.acc_seg: 97.2212, loss: 0.0776 2023-02-25 10:58:01,738 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 16:35:47, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9639, aux.loss_ce: 0.0270, aux.acc_seg: 97.2586, loss: 0.0755 2023-02-25 10:58:58,416 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 16:34:49, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9821, aux.loss_ce: 0.0266, aux.acc_seg: 97.3061, loss: 0.0748 2023-02-25 10:59:58,650 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 16:33:52, time: 1.205, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0504, decode.acc_seg: 97.9009, aux.loss_ce: 0.0275, aux.acc_seg: 97.2025, loss: 0.0779 2023-02-25 11:00:55,467 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 16:32:54, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9024, aux.loss_ce: 0.0279, aux.acc_seg: 97.1673, loss: 0.0781 2023-02-25 11:01:52,167 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 16:31:55, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9035, aux.loss_ce: 0.0274, aux.acc_seg: 97.2188, loss: 0.0776 2023-02-25 11:02:48,957 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 16:30:57, time: 1.136, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9157, aux.loss_ce: 0.0274, aux.acc_seg: 97.2160, loss: 0.0773 2023-02-25 11:03:48,549 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 16:30:00, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9068, aux.loss_ce: 0.0282, aux.acc_seg: 97.1467, loss: 0.0781 2023-02-25 11:04:45,275 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 16:29:02, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9392, aux.loss_ce: 0.0269, aux.acc_seg: 97.2761, loss: 0.0765 2023-02-25 11:05:42,067 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 16:28:03, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0480, aux.loss_ce: 0.0267, aux.acc_seg: 97.2940, loss: 0.0732 2023-02-25 11:06:38,806 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 16:27:05, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9181, aux.loss_ce: 0.0275, aux.acc_seg: 97.2161, loss: 0.0774 2023-02-25 11:07:38,405 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 16:26:08, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8726, aux.loss_ce: 0.0281, aux.acc_seg: 97.1521, loss: 0.0792 2023-02-25 11:08:35,216 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 16:25:10, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9432, aux.loss_ce: 0.0277, aux.acc_seg: 97.1883, loss: 0.0770 2023-02-25 11:09:32,047 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 16:24:11, time: 1.137, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9603, aux.loss_ce: 0.0276, aux.acc_seg: 97.2146, loss: 0.0766 2023-02-25 11:10:31,671 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:10:31,672 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 16:23:14, time: 1.192, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9119, aux.loss_ce: 0.0274, aux.acc_seg: 97.2148, loss: 0.0776 2023-02-25 11:11:28,382 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 16:22:16, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9696, aux.loss_ce: 0.0271, aux.acc_seg: 97.2480, loss: 0.0758 2023-02-25 11:12:25,115 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 16:21:18, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9555, aux.loss_ce: 0.0275, aux.acc_seg: 97.2155, loss: 0.0764 2023-02-25 11:13:21,976 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 16:20:19, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0504, decode.acc_seg: 97.9086, aux.loss_ce: 0.0275, aux.acc_seg: 97.2188, loss: 0.0779 2023-02-25 11:14:21,557 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 16:19:22, time: 1.192, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0159, aux.loss_ce: 0.0274, aux.acc_seg: 97.2385, loss: 0.0750 2023-02-25 11:15:18,335 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 16:18:24, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9423, aux.loss_ce: 0.0268, aux.acc_seg: 97.2957, loss: 0.0763 2023-02-25 11:16:15,209 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 16:17:26, time: 1.138, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0504, decode.acc_seg: 97.8845, aux.loss_ce: 0.0279, aux.acc_seg: 97.1670, loss: 0.0783 2023-02-25 11:17:11,883 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 16:16:27, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9388, aux.loss_ce: 0.0274, aux.acc_seg: 97.2182, loss: 0.0767 2023-02-25 11:18:12,232 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 16:15:31, time: 1.207, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9097, aux.loss_ce: 0.0270, aux.acc_seg: 97.2408, loss: 0.0771 2023-02-25 11:19:09,091 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 16:14:32, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9359, aux.loss_ce: 0.0274, aux.acc_seg: 97.2370, loss: 0.0771 2023-02-25 11:20:05,923 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 16:13:34, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0275, aux.loss_ce: 0.0263, aux.acc_seg: 97.3177, loss: 0.0734 2023-02-25 11:21:02,669 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 16:12:36, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9942, aux.loss_ce: 0.0268, aux.acc_seg: 97.2642, loss: 0.0748 2023-02-25 11:22:02,637 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 16:11:39, time: 1.200, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8617, aux.loss_ce: 0.0277, aux.acc_seg: 97.1994, loss: 0.0791 2023-02-25 11:22:59,494 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 16:10:41, time: 1.137, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9539, aux.loss_ce: 0.0275, aux.acc_seg: 97.2145, loss: 0.0767 2023-02-25 11:23:56,675 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 16:09:43, time: 1.144, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0516, decode.acc_seg: 97.8358, aux.loss_ce: 0.0273, aux.acc_seg: 97.2215, loss: 0.0789 2023-02-25 11:24:56,673 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 16:08:46, time: 1.200, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.8970, aux.loss_ce: 0.0271, aux.acc_seg: 97.2136, loss: 0.0772 2023-02-25 11:25:53,386 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 16:07:47, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8921, aux.loss_ce: 0.0272, aux.acc_seg: 97.2238, loss: 0.0777 2023-02-25 11:26:50,086 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 16:06:49, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9212, aux.loss_ce: 0.0273, aux.acc_seg: 97.2402, loss: 0.0773 2023-02-25 11:27:46,752 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 16:05:51, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9246, aux.loss_ce: 0.0276, aux.acc_seg: 97.1771, loss: 0.0772 2023-02-25 11:28:46,406 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 16:04:54, time: 1.193, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9979, aux.loss_ce: 0.0270, aux.acc_seg: 97.2866, loss: 0.0750 2023-02-25 11:29:43,017 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:29:43,018 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 16:03:55, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0353, aux.loss_ce: 0.0268, aux.acc_seg: 97.2697, loss: 0.0736 2023-02-25 11:30:39,787 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 16:02:57, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9658, aux.loss_ce: 0.0275, aux.acc_seg: 97.2197, loss: 0.0765 2023-02-25 11:31:36,756 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 16:01:59, time: 1.139, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9570, aux.loss_ce: 0.0273, aux.acc_seg: 97.2175, loss: 0.0759 2023-02-25 11:32:36,401 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 16:01:02, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9925, aux.loss_ce: 0.0277, aux.acc_seg: 97.2014, loss: 0.0760 2023-02-25 11:33:32,996 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 16:00:03, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9791, aux.loss_ce: 0.0269, aux.acc_seg: 97.2350, loss: 0.0747 2023-02-25 11:34:29,633 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 15:59:05, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9093, aux.loss_ce: 0.0276, aux.acc_seg: 97.1999, loss: 0.0777 2023-02-25 11:35:29,727 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 15:58:08, time: 1.202, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9893, aux.loss_ce: 0.0272, aux.acc_seg: 97.2469, loss: 0.0756 2023-02-25 11:36:26,826 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 15:57:10, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8818, aux.loss_ce: 0.0276, aux.acc_seg: 97.1904, loss: 0.0785 2023-02-25 11:37:23,453 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 15:56:11, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0511, decode.acc_seg: 97.8652, aux.loss_ce: 0.0278, aux.acc_seg: 97.1697, loss: 0.0789 2023-02-25 11:38:20,016 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 15:55:13, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8896, aux.loss_ce: 0.0275, aux.acc_seg: 97.2145, loss: 0.0780 2023-02-25 11:39:19,639 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 15:54:16, time: 1.193, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9651, aux.loss_ce: 0.0277, aux.acc_seg: 97.1837, loss: 0.0764 2023-02-25 11:40:16,738 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 15:53:18, time: 1.142, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9598, aux.loss_ce: 0.0272, aux.acc_seg: 97.2288, loss: 0.0757 2023-02-25 11:41:13,369 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 15:52:20, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9851, aux.loss_ce: 0.0268, aux.acc_seg: 97.2984, loss: 0.0753 2023-02-25 11:42:10,131 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 15:51:21, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0522, decode.acc_seg: 97.8384, aux.loss_ce: 0.0282, aux.acc_seg: 97.1488, loss: 0.0804 2023-02-25 11:43:10,038 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 15:50:24, time: 1.198, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9901, aux.loss_ce: 0.0269, aux.acc_seg: 97.2698, loss: 0.0751 2023-02-25 11:44:06,782 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 15:49:26, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9671, aux.loss_ce: 0.0267, aux.acc_seg: 97.2890, loss: 0.0755 2023-02-25 11:45:03,574 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 15:48:28, time: 1.136, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9029, aux.loss_ce: 0.0276, aux.acc_seg: 97.1960, loss: 0.0779 2023-02-25 11:46:00,128 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 15:47:29, time: 1.131, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.8978, aux.loss_ce: 0.0272, aux.acc_seg: 97.2348, loss: 0.0775 2023-02-25 11:47:00,517 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 15:46:33, time: 1.208, data_time: 0.086, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9102, aux.loss_ce: 0.0273, aux.acc_seg: 97.2089, loss: 0.0772 2023-02-25 11:47:57,072 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 15:45:34, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9997, aux.loss_ce: 0.0268, aux.acc_seg: 97.2911, loss: 0.0749 2023-02-25 11:48:53,675 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:48:53,683 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 15:44:36, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9408, aux.loss_ce: 0.0278, aux.acc_seg: 97.1826, loss: 0.0771 2023-02-25 11:49:53,238 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 15:43:39, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9962, aux.loss_ce: 0.0272, aux.acc_seg: 97.2278, loss: 0.0748 2023-02-25 11:50:49,931 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 15:42:40, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0364, aux.loss_ce: 0.0263, aux.acc_seg: 97.2951, loss: 0.0727 2023-02-25 11:51:47,198 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 15:41:42, time: 1.145, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8682, aux.loss_ce: 0.0274, aux.acc_seg: 97.2207, loss: 0.0785 2023-02-25 11:52:43,933 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 15:40:44, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9388, aux.loss_ce: 0.0266, aux.acc_seg: 97.3214, loss: 0.0763 2023-02-25 11:53:43,500 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 15:39:47, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0013, aux.loss_ce: 0.0258, aux.acc_seg: 97.3607, loss: 0.0736 2023-02-25 11:54:40,196 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 15:38:49, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9155, aux.loss_ce: 0.0273, aux.acc_seg: 97.2195, loss: 0.0775 2023-02-25 11:55:37,205 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 15:37:50, time: 1.140, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9599, aux.loss_ce: 0.0270, aux.acc_seg: 97.2504, loss: 0.0757 2023-02-25 11:56:33,853 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 15:36:52, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0519, decode.acc_seg: 97.8391, aux.loss_ce: 0.0283, aux.acc_seg: 97.1370, loss: 0.0802 2023-02-25 11:57:33,413 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 15:35:55, time: 1.191, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.9050, aux.loss_ce: 0.0275, aux.acc_seg: 97.2387, loss: 0.0783 2023-02-25 11:58:30,107 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 15:34:57, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0056, aux.loss_ce: 0.0263, aux.acc_seg: 97.3116, loss: 0.0736 2023-02-25 11:59:27,218 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 15:33:59, time: 1.142, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9629, aux.loss_ce: 0.0261, aux.acc_seg: 97.3351, loss: 0.0748 2023-02-25 12:00:23,930 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 15:33:00, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 98.0081, aux.loss_ce: 0.0269, aux.acc_seg: 97.2854, loss: 0.0750 2023-02-25 12:01:23,630 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 15:32:03, time: 1.194, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0491, decode.acc_seg: 97.9458, aux.loss_ce: 0.0272, aux.acc_seg: 97.2412, loss: 0.0763 2023-02-25 12:02:20,216 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 15:31:05, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0509, decode.acc_seg: 97.8672, aux.loss_ce: 0.0275, aux.acc_seg: 97.2181, loss: 0.0784 2023-02-25 12:03:17,341 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 15:30:07, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9484, aux.loss_ce: 0.0275, aux.acc_seg: 97.2058, loss: 0.0768 2023-02-25 12:04:17,441 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 15:29:10, time: 1.202, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9305, aux.loss_ce: 0.0274, aux.acc_seg: 97.2070, loss: 0.0769 2023-02-25 12:05:14,000 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 15:28:11, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8818, aux.loss_ce: 0.0284, aux.acc_seg: 97.1371, loss: 0.0792 2023-02-25 12:06:10,695 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 15:27:13, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9652, aux.loss_ce: 0.0270, aux.acc_seg: 97.2474, loss: 0.0756 2023-02-25 12:07:07,324 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 15:26:15, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0504, decode.acc_seg: 97.8857, aux.loss_ce: 0.0273, aux.acc_seg: 97.2160, loss: 0.0777 2023-02-25 12:08:06,929 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-02-25 12:08:10,657 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:08:10,659 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 15:25:19, time: 1.267, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9821, aux.loss_ce: 0.0268, aux.acc_seg: 97.2757, loss: 0.0752 2023-02-25 12:09:13,952 - mmseg - INFO - per class results: 2023-02-25 12:09:13,955 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.48 | 99.34 | | sidewalk | 87.44 | 92.89 | | building | 93.48 | 97.61 | | wall | 60.4 | 64.81 | | fence | 65.37 | 71.83 | | pole | 71.55 | 82.18 | | traffic light | 76.15 | 84.36 | | traffic sign | 83.87 | 89.99 | | vegetation | 93.28 | 96.46 | | terrain | 67.99 | 76.39 | | sky | 95.49 | 98.2 | | person | 85.58 | 93.87 | | rider | 68.98 | 80.4 | | car | 96.0 | 98.29 | | truck | 81.76 | 84.59 | | bus | 92.62 | 94.12 | | train | 86.96 | 91.6 | | motorcycle | 72.53 | 82.49 | | bicycle | 81.72 | 90.43 | +---------------+-------+-------+ 2023-02-25 12:09:13,956 - mmseg - INFO - Summary: 2023-02-25 12:09:13,956 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.73 | 82.09 | 87.89 | +-------+-------+-------+ 2023-02-25 12:09:13,956 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:09:13,957 - mmseg - INFO - Iter(val) [125] aAcc: 0.9673, mIoU: 0.8209, mAcc: 0.8789, IoU.road: 0.9848, IoU.sidewalk: 0.8744, IoU.building: 0.9348, IoU.wall: 0.6040, IoU.fence: 0.6537, IoU.pole: 0.7155, IoU.traffic light: 0.7615, IoU.traffic sign: 0.8387, IoU.vegetation: 0.9328, IoU.terrain: 0.6799, IoU.sky: 0.9549, IoU.person: 0.8558, IoU.rider: 0.6898, IoU.car: 0.9600, IoU.truck: 0.8176, IoU.bus: 0.9262, IoU.train: 0.8696, IoU.motorcycle: 0.7253, IoU.bicycle: 0.8172, Acc.road: 0.9934, Acc.sidewalk: 0.9289, Acc.building: 0.9761, Acc.wall: 0.6481, Acc.fence: 0.7183, Acc.pole: 0.8218, Acc.traffic light: 0.8436, Acc.traffic sign: 0.8999, Acc.vegetation: 0.9646, Acc.terrain: 0.7639, Acc.sky: 0.9820, Acc.person: 0.9387, Acc.rider: 0.8040, Acc.car: 0.9829, Acc.truck: 0.8459, Acc.bus: 0.9412, Acc.train: 0.9160, Acc.motorcycle: 0.8249, Acc.bicycle: 0.9043 2023-02-25 12:10:10,615 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 15:24:48, time: 2.399, data_time: 1.278, memory: 27881, decode.loss_ce: 0.0491, decode.acc_seg: 97.9426, aux.loss_ce: 0.0270, aux.acc_seg: 97.2499, loss: 0.0761 2023-02-25 12:11:07,348 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 15:23:50, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9553, aux.loss_ce: 0.0273, aux.acc_seg: 97.2159, loss: 0.0760 2023-02-25 12:12:04,155 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 15:22:51, time: 1.136, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0297, aux.loss_ce: 0.0265, aux.acc_seg: 97.3058, loss: 0.0737 2023-02-25 12:13:04,262 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 15:21:54, time: 1.202, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9775, aux.loss_ce: 0.0266, aux.acc_seg: 97.2972, loss: 0.0749 2023-02-25 12:14:00,903 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 15:20:56, time: 1.133, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9575, aux.loss_ce: 0.0271, aux.acc_seg: 97.2496, loss: 0.0759 2023-02-25 12:14:57,513 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 15:19:58, time: 1.132, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9547, aux.loss_ce: 0.0273, aux.acc_seg: 97.2503, loss: 0.0765 2023-02-25 12:15:57,074 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 15:19:01, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9679, aux.loss_ce: 0.0269, aux.acc_seg: 97.2497, loss: 0.0756 2023-02-25 12:16:53,735 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 15:18:02, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0506, decode.acc_seg: 97.8804, aux.loss_ce: 0.0278, aux.acc_seg: 97.1670, loss: 0.0783 2023-02-25 12:17:50,424 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 15:17:04, time: 1.134, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8891, aux.loss_ce: 0.0277, aux.acc_seg: 97.1829, loss: 0.0783 2023-02-25 12:18:47,466 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 15:16:06, time: 1.141, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9727, aux.loss_ce: 0.0268, aux.acc_seg: 97.2696, loss: 0.0749 2023-02-25 12:19:46,979 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 15:15:08, time: 1.190, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9523, aux.loss_ce: 0.0265, aux.acc_seg: 97.2875, loss: 0.0755 2023-02-25 12:20:43,720 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 15:14:10, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9647, aux.loss_ce: 0.0276, aux.acc_seg: 97.2060, loss: 0.0763 2023-02-25 12:21:40,419 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 15:13:12, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9105, aux.loss_ce: 0.0268, aux.acc_seg: 97.2754, loss: 0.0766 2023-02-25 12:22:37,530 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 15:12:14, time: 1.142, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9114, aux.loss_ce: 0.0273, aux.acc_seg: 97.2213, loss: 0.0771 2023-02-25 12:23:37,058 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 15:11:16, time: 1.191, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9793, aux.loss_ce: 0.0265, aux.acc_seg: 97.3023, loss: 0.0749 2023-02-25 12:24:33,691 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 15:10:18, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8895, aux.loss_ce: 0.0269, aux.acc_seg: 97.2659, loss: 0.0775 2023-02-25 12:25:30,376 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 15:09:20, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9319, aux.loss_ce: 0.0272, aux.acc_seg: 97.2372, loss: 0.0768 2023-02-25 12:26:27,702 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 15:08:22, time: 1.147, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8496, aux.loss_ce: 0.0291, aux.acc_seg: 97.0731, loss: 0.0805 2023-02-25 12:27:27,185 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 15:07:24, time: 1.190, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.9204, aux.loss_ce: 0.0271, aux.acc_seg: 97.2685, loss: 0.0773 2023-02-25 12:28:23,850 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:28:23,852 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 15:06:26, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9915, aux.loss_ce: 0.0271, aux.acc_seg: 97.2247, loss: 0.0749 2023-02-25 12:29:20,586 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 15:05:28, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0031, aux.loss_ce: 0.0265, aux.acc_seg: 97.3109, loss: 0.0741 2023-02-25 12:30:20,428 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 15:04:31, time: 1.197, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9076, aux.loss_ce: 0.0272, aux.acc_seg: 97.2529, loss: 0.0775 2023-02-25 12:31:17,626 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 15:03:33, time: 1.144, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0507, decode.acc_seg: 97.8898, aux.loss_ce: 0.0275, aux.acc_seg: 97.2194, loss: 0.0781 2023-02-25 12:32:14,354 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 15:02:34, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9978, aux.loss_ce: 0.0277, aux.acc_seg: 97.1937, loss: 0.0754 2023-02-25 12:33:11,019 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 15:01:36, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9792, aux.loss_ce: 0.0264, aux.acc_seg: 97.3069, loss: 0.0746 2023-02-25 12:34:11,039 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 15:00:39, time: 1.200, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9411, aux.loss_ce: 0.0268, aux.acc_seg: 97.2754, loss: 0.0761 2023-02-25 12:35:07,671 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 14:59:41, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9470, aux.loss_ce: 0.0267, aux.acc_seg: 97.2994, loss: 0.0762 2023-02-25 12:36:04,333 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 14:58:42, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9311, aux.loss_ce: 0.0272, aux.acc_seg: 97.2268, loss: 0.0764 2023-02-25 12:37:01,075 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 14:57:44, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9808, aux.loss_ce: 0.0271, aux.acc_seg: 97.2401, loss: 0.0754 2023-02-25 12:38:01,659 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 14:56:47, time: 1.212, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0019, aux.loss_ce: 0.0260, aux.acc_seg: 97.3552, loss: 0.0738 2023-02-25 12:38:58,241 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 14:55:49, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0407, aux.loss_ce: 0.0273, aux.acc_seg: 97.2707, loss: 0.0743 2023-02-25 12:39:54,914 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 14:54:51, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9005, aux.loss_ce: 0.0273, aux.acc_seg: 97.2259, loss: 0.0774 2023-02-25 12:40:54,457 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 14:53:53, time: 1.191, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0498, decode.acc_seg: 97.9198, aux.loss_ce: 0.0270, aux.acc_seg: 97.2580, loss: 0.0768 2023-02-25 12:41:51,130 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 14:52:55, time: 1.133, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9893, aux.loss_ce: 0.0264, aux.acc_seg: 97.3346, loss: 0.0746 2023-02-25 12:42:47,865 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 14:51:57, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9192, aux.loss_ce: 0.0276, aux.acc_seg: 97.1868, loss: 0.0772 2023-02-25 12:43:44,623 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 14:50:58, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9431, aux.loss_ce: 0.0266, aux.acc_seg: 97.2773, loss: 0.0755 2023-02-25 12:44:44,176 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 14:50:01, time: 1.191, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9944, aux.loss_ce: 0.0263, aux.acc_seg: 97.3295, loss: 0.0743 2023-02-25 12:45:41,022 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 14:49:03, time: 1.137, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8778, aux.loss_ce: 0.0272, aux.acc_seg: 97.2383, loss: 0.0780 2023-02-25 12:46:37,928 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 14:48:05, time: 1.138, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8786, aux.loss_ce: 0.0275, aux.acc_seg: 97.2190, loss: 0.0787 2023-02-25 12:47:34,620 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:47:34,620 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 14:47:06, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9662, aux.loss_ce: 0.0267, aux.acc_seg: 97.2690, loss: 0.0750 2023-02-25 12:48:34,352 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 14:46:09, time: 1.195, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9208, aux.loss_ce: 0.0272, aux.acc_seg: 97.2399, loss: 0.0771 2023-02-25 12:49:31,057 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 14:45:11, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9389, aux.loss_ce: 0.0276, aux.acc_seg: 97.2096, loss: 0.0771 2023-02-25 12:50:28,120 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 14:44:13, time: 1.141, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 98.0062, aux.loss_ce: 0.0264, aux.acc_seg: 97.3305, loss: 0.0745 2023-02-25 12:51:24,742 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 14:43:14, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9525, aux.loss_ce: 0.0270, aux.acc_seg: 97.2530, loss: 0.0760 2023-02-25 12:52:24,493 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 14:42:17, time: 1.195, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0500, decode.acc_seg: 97.9002, aux.loss_ce: 0.0273, aux.acc_seg: 97.2112, loss: 0.0773 2023-02-25 12:53:21,211 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 14:41:19, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0088, aux.loss_ce: 0.0271, aux.acc_seg: 97.2570, loss: 0.0749 2023-02-25 12:54:17,974 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 14:40:21, time: 1.135, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0355, aux.loss_ce: 0.0262, aux.acc_seg: 97.3412, loss: 0.0732 2023-02-25 12:55:17,891 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 14:39:24, time: 1.198, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0075, aux.loss_ce: 0.0264, aux.acc_seg: 97.2892, loss: 0.0739 2023-02-25 12:56:14,590 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 14:38:25, time: 1.134, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9286, aux.loss_ce: 0.0269, aux.acc_seg: 97.2595, loss: 0.0762 2023-02-25 12:57:11,325 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 14:37:27, time: 1.135, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9604, aux.loss_ce: 0.0266, aux.acc_seg: 97.2981, loss: 0.0752 2023-02-25 12:58:08,171 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 14:36:29, time: 1.137, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9160, aux.loss_ce: 0.0275, aux.acc_seg: 97.1976, loss: 0.0772 2023-02-25 12:59:07,667 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 14:35:32, time: 1.190, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0388, aux.loss_ce: 0.0262, aux.acc_seg: 97.3382, loss: 0.0730 2023-02-25 13:00:04,345 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 14:34:33, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9132, aux.loss_ce: 0.0269, aux.acc_seg: 97.2463, loss: 0.0766 2023-02-25 13:01:01,116 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 14:33:35, time: 1.135, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0535, aux.loss_ce: 0.0265, aux.acc_seg: 97.3165, loss: 0.0730 2023-02-25 13:01:58,238 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 14:32:37, time: 1.142, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9767, aux.loss_ce: 0.0269, aux.acc_seg: 97.2699, loss: 0.0753 2023-02-25 13:02:57,927 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 14:31:40, time: 1.194, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0491, decode.acc_seg: 97.9627, aux.loss_ce: 0.0268, aux.acc_seg: 97.3010, loss: 0.0759 2023-02-25 13:03:54,709 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 14:30:41, time: 1.136, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0160, aux.loss_ce: 0.0264, aux.acc_seg: 97.3198, loss: 0.0739 2023-02-25 13:04:51,337 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 14:29:43, time: 1.132, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9426, aux.loss_ce: 0.0271, aux.acc_seg: 97.2401, loss: 0.0763 2023-02-25 13:05:50,778 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 14:28:46, time: 1.189, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9162, aux.loss_ce: 0.0266, aux.acc_seg: 97.2931, loss: 0.0762 2023-02-25 13:06:47,161 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:06:47,165 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 14:27:47, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9765, aux.loss_ce: 0.0263, aux.acc_seg: 97.3221, loss: 0.0745 2023-02-25 13:07:43,571 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 14:26:49, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9787, aux.loss_ce: 0.0270, aux.acc_seg: 97.2516, loss: 0.0755 2023-02-25 13:08:39,982 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 14:25:51, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0636, aux.loss_ce: 0.0254, aux.acc_seg: 97.4114, loss: 0.0715 2023-02-25 13:09:40,042 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 14:24:54, time: 1.201, data_time: 0.082, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0615, aux.loss_ce: 0.0261, aux.acc_seg: 97.3324, loss: 0.0724 2023-02-25 13:10:36,397 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 14:23:55, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9318, aux.loss_ce: 0.0265, aux.acc_seg: 97.3167, loss: 0.0760 2023-02-25 13:11:33,331 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 14:22:57, time: 1.139, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0023, aux.loss_ce: 0.0272, aux.acc_seg: 97.2350, loss: 0.0748 2023-02-25 13:12:29,667 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 14:21:59, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9645, aux.loss_ce: 0.0277, aux.acc_seg: 97.1792, loss: 0.0759 2023-02-25 13:13:28,835 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 14:21:01, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9800, aux.loss_ce: 0.0265, aux.acc_seg: 97.3180, loss: 0.0750 2023-02-25 13:14:25,256 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 14:20:03, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0318, aux.loss_ce: 0.0265, aux.acc_seg: 97.3005, loss: 0.0734 2023-02-25 13:15:21,692 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 14:19:04, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0239, aux.loss_ce: 0.0266, aux.acc_seg: 97.3022, loss: 0.0741 2023-02-25 13:16:18,157 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 14:18:06, time: 1.129, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9121, aux.loss_ce: 0.0267, aux.acc_seg: 97.2863, loss: 0.0764 2023-02-25 13:17:17,539 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 14:17:09, time: 1.187, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9211, aux.loss_ce: 0.0277, aux.acc_seg: 97.1842, loss: 0.0774 2023-02-25 13:18:13,969 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 14:16:10, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.8854, aux.loss_ce: 0.0268, aux.acc_seg: 97.2495, loss: 0.0771 2023-02-25 13:19:10,368 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 14:15:12, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9311, aux.loss_ce: 0.0267, aux.acc_seg: 97.2755, loss: 0.0760 2023-02-25 13:20:09,847 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 14:14:15, time: 1.190, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9744, aux.loss_ce: 0.0269, aux.acc_seg: 97.2494, loss: 0.0752 2023-02-25 13:21:06,312 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 14:13:16, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9337, aux.loss_ce: 0.0273, aux.acc_seg: 97.2401, loss: 0.0770 2023-02-25 13:22:02,692 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 14:12:18, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0242, aux.loss_ce: 0.0266, aux.acc_seg: 97.3051, loss: 0.0739 2023-02-25 13:22:59,057 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 14:11:20, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9480, aux.loss_ce: 0.0271, aux.acc_seg: 97.2462, loss: 0.0759 2023-02-25 13:23:58,183 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 14:10:22, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9856, aux.loss_ce: 0.0266, aux.acc_seg: 97.2860, loss: 0.0744 2023-02-25 13:24:54,487 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 14:09:24, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0514, decode.acc_seg: 97.8552, aux.loss_ce: 0.0272, aux.acc_seg: 97.2370, loss: 0.0786 2023-02-25 13:25:50,768 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:25:50,769 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 14:08:25, time: 1.126, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9292, aux.loss_ce: 0.0272, aux.acc_seg: 97.2385, loss: 0.0765 2023-02-25 13:26:47,099 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 14:07:27, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9806, aux.loss_ce: 0.0270, aux.acc_seg: 97.2494, loss: 0.0751 2023-02-25 13:27:46,197 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 14:06:30, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9700, aux.loss_ce: 0.0268, aux.acc_seg: 97.2880, loss: 0.0757 2023-02-25 13:28:42,616 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 14:05:31, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9450, aux.loss_ce: 0.0265, aux.acc_seg: 97.3012, loss: 0.0755 2023-02-25 13:29:38,979 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 14:04:33, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9716, aux.loss_ce: 0.0272, aux.acc_seg: 97.2552, loss: 0.0762 2023-02-25 13:30:35,406 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 14:03:34, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9677, aux.loss_ce: 0.0265, aux.acc_seg: 97.3066, loss: 0.0751 2023-02-25 13:31:34,588 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 14:02:37, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9828, aux.loss_ce: 0.0270, aux.acc_seg: 97.2850, loss: 0.0759 2023-02-25 13:32:30,921 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 14:01:39, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9558, aux.loss_ce: 0.0267, aux.acc_seg: 97.2645, loss: 0.0753 2023-02-25 13:33:27,255 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 14:00:40, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9416, aux.loss_ce: 0.0273, aux.acc_seg: 97.2125, loss: 0.0761 2023-02-25 13:34:26,537 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 13:59:43, time: 1.186, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9089, aux.loss_ce: 0.0277, aux.acc_seg: 97.1909, loss: 0.0778 2023-02-25 13:35:23,530 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 13:58:45, time: 1.140, data_time: 0.025, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9866, aux.loss_ce: 0.0263, aux.acc_seg: 97.3345, loss: 0.0747 2023-02-25 13:36:19,822 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 13:57:46, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9606, aux.loss_ce: 0.0268, aux.acc_seg: 97.2692, loss: 0.0753 2023-02-25 13:37:16,319 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 13:56:48, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0503, decode.acc_seg: 97.9035, aux.loss_ce: 0.0283, aux.acc_seg: 97.1374, loss: 0.0786 2023-02-25 13:38:15,581 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 13:55:51, time: 1.185, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9778, aux.loss_ce: 0.0270, aux.acc_seg: 97.2848, loss: 0.0758 2023-02-25 13:39:11,906 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 13:54:52, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0227, aux.loss_ce: 0.0259, aux.acc_seg: 97.3511, loss: 0.0729 2023-02-25 13:40:08,535 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 13:53:54, time: 1.133, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0199, aux.loss_ce: 0.0262, aux.acc_seg: 97.3245, loss: 0.0733 2023-02-25 13:41:04,858 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 13:52:55, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9459, aux.loss_ce: 0.0284, aux.acc_seg: 97.1482, loss: 0.0781 2023-02-25 13:42:04,690 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 13:51:58, time: 1.197, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9705, aux.loss_ce: 0.0277, aux.acc_seg: 97.1787, loss: 0.0760 2023-02-25 13:43:01,020 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 13:51:00, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9872, aux.loss_ce: 0.0266, aux.acc_seg: 97.3247, loss: 0.0751 2023-02-25 13:43:57,322 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 13:50:02, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0240, aux.loss_ce: 0.0267, aux.acc_seg: 97.2905, loss: 0.0740 2023-02-25 13:44:56,486 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:44:56,486 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 13:49:04, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9782, aux.loss_ce: 0.0274, aux.acc_seg: 97.2242, loss: 0.0756 2023-02-25 13:45:52,811 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 13:48:06, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9873, aux.loss_ce: 0.0270, aux.acc_seg: 97.2615, loss: 0.0750 2023-02-25 13:46:49,235 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 13:47:07, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9489, aux.loss_ce: 0.0276, aux.acc_seg: 97.2147, loss: 0.0765 2023-02-25 13:47:45,619 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 13:46:09, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0510, decode.acc_seg: 97.8579, aux.loss_ce: 0.0275, aux.acc_seg: 97.1948, loss: 0.0785 2023-02-25 13:48:45,505 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 13:45:12, time: 1.198, data_time: 0.083, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0095, aux.loss_ce: 0.0267, aux.acc_seg: 97.2869, loss: 0.0743 2023-02-25 13:49:41,856 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 13:44:14, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9292, aux.loss_ce: 0.0265, aux.acc_seg: 97.3007, loss: 0.0761 2023-02-25 13:50:38,871 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 13:43:15, time: 1.140, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9791, aux.loss_ce: 0.0257, aux.acc_seg: 97.3738, loss: 0.0738 2023-02-25 13:51:35,273 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 13:42:17, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0650, aux.loss_ce: 0.0259, aux.acc_seg: 97.3877, loss: 0.0722 2023-02-25 13:52:34,537 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 13:41:20, time: 1.185, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0129, aux.loss_ce: 0.0261, aux.acc_seg: 97.3510, loss: 0.0736 2023-02-25 13:53:30,920 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 13:40:21, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9377, aux.loss_ce: 0.0275, aux.acc_seg: 97.2071, loss: 0.0772 2023-02-25 13:54:27,432 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 13:39:23, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0513, aux.loss_ce: 0.0267, aux.acc_seg: 97.2832, loss: 0.0733 2023-02-25 13:55:23,768 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 13:38:25, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9213, aux.loss_ce: 0.0277, aux.acc_seg: 97.1969, loss: 0.0774 2023-02-25 13:56:22,992 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 13:37:27, time: 1.184, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0583, decode.acc_seg: 97.7806, aux.loss_ce: 0.0321, aux.acc_seg: 96.9350, loss: 0.0904 2023-02-25 13:57:19,344 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 13:36:29, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9426, aux.loss_ce: 0.0270, aux.acc_seg: 97.2556, loss: 0.0763 2023-02-25 13:58:15,709 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 13:35:31, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0465, aux.loss_ce: 0.0264, aux.acc_seg: 97.3158, loss: 0.0730 2023-02-25 13:59:14,882 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 13:34:33, time: 1.184, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9430, aux.loss_ce: 0.0274, aux.acc_seg: 97.2220, loss: 0.0767 2023-02-25 14:00:11,293 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 13:33:35, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9718, aux.loss_ce: 0.0269, aux.acc_seg: 97.2427, loss: 0.0754 2023-02-25 14:01:07,603 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 13:32:37, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0513, decode.acc_seg: 97.8433, aux.loss_ce: 0.0279, aux.acc_seg: 97.1709, loss: 0.0792 2023-02-25 14:02:04,028 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 13:31:38, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0512, decode.acc_seg: 97.8580, aux.loss_ce: 0.0275, aux.acc_seg: 97.2122, loss: 0.0787 2023-02-25 14:03:03,208 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 13:30:41, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9869, aux.loss_ce: 0.0269, aux.acc_seg: 97.2572, loss: 0.0750 2023-02-25 14:03:59,645 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:03:59,648 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 13:29:42, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0105, aux.loss_ce: 0.0260, aux.acc_seg: 97.3492, loss: 0.0734 2023-02-25 14:04:55,995 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 13:28:44, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9556, aux.loss_ce: 0.0269, aux.acc_seg: 97.2739, loss: 0.0757 2023-02-25 14:05:52,372 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 13:27:46, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0011, aux.loss_ce: 0.0270, aux.acc_seg: 97.2527, loss: 0.0745 2023-02-25 14:06:51,521 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 13:26:48, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9133, aux.loss_ce: 0.0275, aux.acc_seg: 97.2043, loss: 0.0775 2023-02-25 14:07:47,833 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 13:25:50, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0309, aux.loss_ce: 0.0265, aux.acc_seg: 97.3251, loss: 0.0735 2023-02-25 14:08:44,227 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 13:24:52, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 98.0025, aux.loss_ce: 0.0272, aux.acc_seg: 97.2403, loss: 0.0752 2023-02-25 14:09:43,370 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 13:23:54, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9437, aux.loss_ce: 0.0272, aux.acc_seg: 97.2787, loss: 0.0771 2023-02-25 14:10:39,681 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 13:22:56, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9251, aux.loss_ce: 0.0265, aux.acc_seg: 97.2791, loss: 0.0759 2023-02-25 14:11:35,991 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 13:21:58, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9820, aux.loss_ce: 0.0268, aux.acc_seg: 97.2957, loss: 0.0752 2023-02-25 14:12:32,400 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 13:20:59, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 98.0199, aux.loss_ce: 0.0266, aux.acc_seg: 97.3161, loss: 0.0742 2023-02-25 14:13:31,636 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 13:20:02, time: 1.185, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0713, aux.loss_ce: 0.0258, aux.acc_seg: 97.3510, loss: 0.0714 2023-02-25 14:14:28,074 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 13:19:04, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0436, aux.loss_ce: 0.0265, aux.acc_seg: 97.3021, loss: 0.0731 2023-02-25 14:15:24,487 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 13:18:05, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9653, aux.loss_ce: 0.0271, aux.acc_seg: 97.2426, loss: 0.0756 2023-02-25 14:16:20,843 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 13:17:07, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0087, aux.loss_ce: 0.0271, aux.acc_seg: 97.2678, loss: 0.0747 2023-02-25 14:17:20,055 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 13:16:10, time: 1.184, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9466, aux.loss_ce: 0.0276, aux.acc_seg: 97.2436, loss: 0.0770 2023-02-25 14:18:16,447 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 13:15:11, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9706, aux.loss_ce: 0.0276, aux.acc_seg: 97.2134, loss: 0.0765 2023-02-25 14:19:12,924 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 13:14:13, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9755, aux.loss_ce: 0.0264, aux.acc_seg: 97.3018, loss: 0.0747 2023-02-25 14:20:09,256 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 13:13:15, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9927, aux.loss_ce: 0.0264, aux.acc_seg: 97.3103, loss: 0.0740 2023-02-25 14:21:08,490 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 13:12:17, time: 1.185, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 98.0092, aux.loss_ce: 0.0268, aux.acc_seg: 97.3048, loss: 0.0750 2023-02-25 14:22:04,892 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 13:11:19, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0175, aux.loss_ce: 0.0261, aux.acc_seg: 97.3503, loss: 0.0733 2023-02-25 14:23:01,221 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:23:01,223 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 13:10:21, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0163, aux.loss_ce: 0.0265, aux.acc_seg: 97.3059, loss: 0.0738 2023-02-25 14:24:00,371 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 13:09:23, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9745, aux.loss_ce: 0.0267, aux.acc_seg: 97.2522, loss: 0.0749 2023-02-25 14:24:56,728 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 13:08:25, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0496, aux.loss_ce: 0.0257, aux.acc_seg: 97.3798, loss: 0.0724 2023-02-25 14:25:53,006 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 13:07:26, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0116, aux.loss_ce: 0.0261, aux.acc_seg: 97.3260, loss: 0.0734 2023-02-25 14:26:49,312 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 13:06:28, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 97.9980, aux.loss_ce: 0.0261, aux.acc_seg: 97.3099, loss: 0.0735 2023-02-25 14:27:48,485 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 13:05:31, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0576, aux.loss_ce: 0.0262, aux.acc_seg: 97.3502, loss: 0.0725 2023-02-25 14:28:44,852 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 13:04:32, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0184, aux.loss_ce: 0.0271, aux.acc_seg: 97.2245, loss: 0.0743 2023-02-25 14:29:41,219 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 13:03:34, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 98.0025, aux.loss_ce: 0.0261, aux.acc_seg: 97.3320, loss: 0.0738 2023-02-25 14:30:37,614 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 13:02:36, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9532, aux.loss_ce: 0.0271, aux.acc_seg: 97.2495, loss: 0.0760 2023-02-25 14:31:36,789 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 13:01:38, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0419, aux.loss_ce: 0.0257, aux.acc_seg: 97.3918, loss: 0.0725 2023-02-25 14:32:33,152 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 13:00:40, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9965, aux.loss_ce: 0.0263, aux.acc_seg: 97.3064, loss: 0.0739 2023-02-25 14:33:29,460 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 12:59:42, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0478, aux.loss_ce: 0.0257, aux.acc_seg: 97.3703, loss: 0.0721 2023-02-25 14:34:28,515 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 12:58:44, time: 1.181, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9463, aux.loss_ce: 0.0267, aux.acc_seg: 97.2623, loss: 0.0756 2023-02-25 14:35:24,883 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 12:57:46, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9580, aux.loss_ce: 0.0261, aux.acc_seg: 97.3275, loss: 0.0745 2023-02-25 14:36:21,264 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 12:56:48, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9668, aux.loss_ce: 0.0273, aux.acc_seg: 97.2381, loss: 0.0763 2023-02-25 14:37:17,642 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 12:55:49, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0254, aux.loss_ce: 0.0260, aux.acc_seg: 97.3432, loss: 0.0729 2023-02-25 14:38:16,890 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 12:54:52, time: 1.185, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0109, aux.loss_ce: 0.0259, aux.acc_seg: 97.3702, loss: 0.0733 2023-02-25 14:39:13,203 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 12:53:54, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9736, aux.loss_ce: 0.0268, aux.acc_seg: 97.2814, loss: 0.0754 2023-02-25 14:40:09,537 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 12:52:55, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9166, aux.loss_ce: 0.0267, aux.acc_seg: 97.2718, loss: 0.0761 2023-02-25 14:41:05,828 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 12:51:57, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0508, decode.acc_seg: 97.8788, aux.loss_ce: 0.0274, aux.acc_seg: 97.2228, loss: 0.0781 2023-02-25 14:42:04,952 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:42:04,954 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 12:51:00, time: 1.183, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0814, aux.loss_ce: 0.0262, aux.acc_seg: 97.3148, loss: 0.0719 2023-02-25 14:43:01,285 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 12:50:01, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1246, aux.loss_ce: 0.0261, aux.acc_seg: 97.3323, loss: 0.0709 2023-02-25 14:43:57,526 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 12:49:03, time: 1.125, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9805, aux.loss_ce: 0.0271, aux.acc_seg: 97.2479, loss: 0.0753 2023-02-25 14:44:54,090 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 12:48:05, time: 1.131, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9893, aux.loss_ce: 0.0268, aux.acc_seg: 97.2831, loss: 0.0746 2023-02-25 14:45:53,383 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 12:47:07, time: 1.186, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0499, decode.acc_seg: 97.9171, aux.loss_ce: 0.0269, aux.acc_seg: 97.2742, loss: 0.0768 2023-02-25 14:46:49,751 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 12:46:09, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9656, aux.loss_ce: 0.0268, aux.acc_seg: 97.2914, loss: 0.0756 2023-02-25 14:47:46,134 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 12:45:11, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9728, aux.loss_ce: 0.0271, aux.acc_seg: 97.2427, loss: 0.0753 2023-02-25 14:48:45,351 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 12:44:13, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9474, aux.loss_ce: 0.0262, aux.acc_seg: 97.3177, loss: 0.0749 2023-02-25 14:49:41,727 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 12:43:15, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0495, decode.acc_seg: 97.9450, aux.loss_ce: 0.0273, aux.acc_seg: 97.2275, loss: 0.0768 2023-02-25 14:50:38,171 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 12:42:17, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1515, aux.loss_ce: 0.0262, aux.acc_seg: 97.3564, loss: 0.0706 2023-02-25 14:51:34,539 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 12:41:19, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0675, aux.loss_ce: 0.0259, aux.acc_seg: 97.3598, loss: 0.0719 2023-02-25 14:52:33,807 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 12:40:21, time: 1.185, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9895, aux.loss_ce: 0.0266, aux.acc_seg: 97.3024, loss: 0.0749 2023-02-25 14:53:30,203 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 12:39:23, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9452, aux.loss_ce: 0.0274, aux.acc_seg: 97.2139, loss: 0.0766 2023-02-25 14:54:26,570 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 12:38:25, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9958, aux.loss_ce: 0.0263, aux.acc_seg: 97.3426, loss: 0.0742 2023-02-25 14:55:22,979 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 12:37:26, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0497, decode.acc_seg: 97.9167, aux.loss_ce: 0.0273, aux.acc_seg: 97.2221, loss: 0.0770 2023-02-25 14:56:22,125 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 12:36:29, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9600, aux.loss_ce: 0.0270, aux.acc_seg: 97.2546, loss: 0.0755 2023-02-25 14:57:18,447 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 12:35:31, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9468, aux.loss_ce: 0.0267, aux.acc_seg: 97.2873, loss: 0.0761 2023-02-25 14:58:14,761 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 12:34:32, time: 1.126, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0554, aux.loss_ce: 0.0254, aux.acc_seg: 97.4054, loss: 0.0717 2023-02-25 14:59:11,056 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 12:33:34, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9398, aux.loss_ce: 0.0271, aux.acc_seg: 97.2416, loss: 0.0762 2023-02-25 15:00:10,431 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 12:32:37, time: 1.187, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0287, aux.loss_ce: 0.0268, aux.acc_seg: 97.2966, loss: 0.0743 2023-02-25 15:01:06,854 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:01:06,854 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 12:31:38, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0120, aux.loss_ce: 0.0256, aux.acc_seg: 97.3818, loss: 0.0731 2023-02-25 15:02:03,228 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 12:30:40, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9402, aux.loss_ce: 0.0270, aux.acc_seg: 97.2627, loss: 0.0763 2023-02-25 15:03:02,365 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 12:29:43, time: 1.183, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0258, aux.loss_ce: 0.0261, aux.acc_seg: 97.3361, loss: 0.0732 2023-02-25 15:03:58,745 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 12:28:44, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9228, aux.loss_ce: 0.0266, aux.acc_seg: 97.2819, loss: 0.0760 2023-02-25 15:04:55,180 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 12:27:46, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9481, aux.loss_ce: 0.0273, aux.acc_seg: 97.2379, loss: 0.0762 2023-02-25 15:05:51,688 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 12:26:48, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9782, aux.loss_ce: 0.0265, aux.acc_seg: 97.3013, loss: 0.0748 2023-02-25 15:06:50,867 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 12:25:51, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9847, aux.loss_ce: 0.0260, aux.acc_seg: 97.3393, loss: 0.0737 2023-02-25 15:07:47,267 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 12:24:52, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.8719, aux.loss_ce: 0.0270, aux.acc_seg: 97.2406, loss: 0.0774 2023-02-25 15:08:43,575 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 12:23:54, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0688, aux.loss_ce: 0.0258, aux.acc_seg: 97.3893, loss: 0.0722 2023-02-25 15:09:39,993 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 12:22:56, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0197, aux.loss_ce: 0.0263, aux.acc_seg: 97.3148, loss: 0.0733 2023-02-25 15:10:39,190 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 12:21:58, time: 1.184, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9280, aux.loss_ce: 0.0270, aux.acc_seg: 97.2450, loss: 0.0764 2023-02-25 15:11:35,541 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 12:21:00, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9452, aux.loss_ce: 0.0269, aux.acc_seg: 97.2471, loss: 0.0757 2023-02-25 15:12:31,849 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 12:20:02, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0466, aux.loss_ce: 0.0263, aux.acc_seg: 97.3191, loss: 0.0729 2023-02-25 15:13:31,097 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 12:19:04, time: 1.185, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0085, aux.loss_ce: 0.0268, aux.acc_seg: 97.2649, loss: 0.0742 2023-02-25 15:14:27,506 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 12:18:06, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0063, aux.loss_ce: 0.0268, aux.acc_seg: 97.2673, loss: 0.0740 2023-02-25 15:15:24,011 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 12:17:08, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0335, aux.loss_ce: 0.0260, aux.acc_seg: 97.3572, loss: 0.0731 2023-02-25 15:16:20,470 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 12:16:10, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0054, aux.loss_ce: 0.0264, aux.acc_seg: 97.3068, loss: 0.0738 2023-02-25 15:17:19,575 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 12:15:12, time: 1.182, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0614, aux.loss_ce: 0.0259, aux.acc_seg: 97.3585, loss: 0.0723 2023-02-25 15:18:15,892 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 12:14:14, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0024, aux.loss_ce: 0.0260, aux.acc_seg: 97.3412, loss: 0.0735 2023-02-25 15:19:12,243 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 12:13:16, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9897, aux.loss_ce: 0.0264, aux.acc_seg: 97.3157, loss: 0.0745 2023-02-25 15:20:08,570 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:20:08,573 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 12:12:17, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9187, aux.loss_ce: 0.0272, aux.acc_seg: 97.2315, loss: 0.0766 2023-02-25 15:21:07,765 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 12:11:20, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9899, aux.loss_ce: 0.0270, aux.acc_seg: 97.2443, loss: 0.0748 2023-02-25 15:22:04,925 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 12:10:22, time: 1.143, data_time: 0.030, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0697, aux.loss_ce: 0.0268, aux.acc_seg: 97.2733, loss: 0.0728 2023-02-25 15:23:01,335 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 12:09:24, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0357, aux.loss_ce: 0.0262, aux.acc_seg: 97.3495, loss: 0.0733 2023-02-25 15:23:57,735 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 12:08:26, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9879, aux.loss_ce: 0.0266, aux.acc_seg: 97.3170, loss: 0.0749 2023-02-25 15:24:56,942 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 12:07:28, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0650, aux.loss_ce: 0.0257, aux.acc_seg: 97.3858, loss: 0.0722 2023-02-25 15:25:53,296 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 12:06:30, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9870, aux.loss_ce: 0.0270, aux.acc_seg: 97.2543, loss: 0.0752 2023-02-25 15:26:49,841 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 12:05:32, time: 1.131, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9077, aux.loss_ce: 0.0274, aux.acc_seg: 97.2066, loss: 0.0775 2023-02-25 15:27:49,037 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 12:04:34, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9141, aux.loss_ce: 0.0266, aux.acc_seg: 97.2761, loss: 0.0763 2023-02-25 15:28:45,450 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 12:03:36, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0523, aux.loss_ce: 0.0260, aux.acc_seg: 97.3800, loss: 0.0730 2023-02-25 15:29:41,915 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 12:02:38, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0192, aux.loss_ce: 0.0265, aux.acc_seg: 97.3201, loss: 0.0739 2023-02-25 15:30:38,395 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 12:01:40, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9996, aux.loss_ce: 0.0260, aux.acc_seg: 97.3417, loss: 0.0736 2023-02-25 15:31:38,303 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 12:00:42, time: 1.198, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0505, decode.acc_seg: 97.9072, aux.loss_ce: 0.0271, aux.acc_seg: 97.2686, loss: 0.0776 2023-02-25 15:32:35,078 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 11:59:44, time: 1.136, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9505, aux.loss_ce: 0.0264, aux.acc_seg: 97.2954, loss: 0.0750 2023-02-25 15:33:31,352 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 11:58:46, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0385, aux.loss_ce: 0.0264, aux.acc_seg: 97.3291, loss: 0.0736 2023-02-25 15:34:27,779 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 11:57:48, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9723, aux.loss_ce: 0.0258, aux.acc_seg: 97.3555, loss: 0.0739 2023-02-25 15:35:26,906 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 11:56:50, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1209, aux.loss_ce: 0.0263, aux.acc_seg: 97.3166, loss: 0.0711 2023-02-25 15:36:23,394 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 11:55:52, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9525, aux.loss_ce: 0.0272, aux.acc_seg: 97.2095, loss: 0.0757 2023-02-25 15:37:19,841 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 11:54:54, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0542, aux.loss_ce: 0.0266, aux.acc_seg: 97.3163, loss: 0.0733 2023-02-25 15:38:19,118 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 11:53:57, time: 1.185, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0267, aux.loss_ce: 0.0268, aux.acc_seg: 97.2743, loss: 0.0740 2023-02-25 15:39:15,556 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:39:15,560 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 11:52:58, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9961, aux.loss_ce: 0.0263, aux.acc_seg: 97.3217, loss: 0.0743 2023-02-25 15:40:12,034 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 11:52:00, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9247, aux.loss_ce: 0.0266, aux.acc_seg: 97.3207, loss: 0.0767 2023-02-25 15:41:08,307 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 11:51:02, time: 1.125, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9522, aux.loss_ce: 0.0266, aux.acc_seg: 97.2936, loss: 0.0753 2023-02-25 15:42:07,980 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 11:50:05, time: 1.193, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0876, aux.loss_ce: 0.0254, aux.acc_seg: 97.3830, loss: 0.0707 2023-02-25 15:43:04,356 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 11:49:06, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9727, aux.loss_ce: 0.0268, aux.acc_seg: 97.2846, loss: 0.0754 2023-02-25 15:44:00,713 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 11:48:08, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0133, aux.loss_ce: 0.0267, aux.acc_seg: 97.2592, loss: 0.0734 2023-02-25 15:44:57,061 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 11:47:10, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0295, aux.loss_ce: 0.0263, aux.acc_seg: 97.2993, loss: 0.0733 2023-02-25 15:45:56,189 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 11:46:13, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9690, aux.loss_ce: 0.0270, aux.acc_seg: 97.2442, loss: 0.0758 2023-02-25 15:46:52,589 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 11:45:14, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9947, aux.loss_ce: 0.0272, aux.acc_seg: 97.2341, loss: 0.0753 2023-02-25 15:47:48,977 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 11:44:16, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0093, aux.loss_ce: 0.0261, aux.acc_seg: 97.3313, loss: 0.0733 2023-02-25 15:48:45,413 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 11:43:18, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1204, aux.loss_ce: 0.0258, aux.acc_seg: 97.3785, loss: 0.0707 2023-02-25 15:49:44,610 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 11:42:20, time: 1.184, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9470, aux.loss_ce: 0.0264, aux.acc_seg: 97.3064, loss: 0.0754 2023-02-25 15:50:41,073 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 11:41:22, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9951, aux.loss_ce: 0.0267, aux.acc_seg: 97.2745, loss: 0.0746 2023-02-25 15:51:37,528 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 11:40:24, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0491, decode.acc_seg: 97.9395, aux.loss_ce: 0.0273, aux.acc_seg: 97.2157, loss: 0.0764 2023-02-25 15:52:36,941 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 11:39:27, time: 1.188, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0421, aux.loss_ce: 0.0258, aux.acc_seg: 97.3494, loss: 0.0723 2023-02-25 15:53:33,380 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 11:38:29, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0428, aux.loss_ce: 0.0259, aux.acc_seg: 97.3923, loss: 0.0731 2023-02-25 15:54:30,349 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 11:37:30, time: 1.139, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0495, aux.loss_ce: 0.0264, aux.acc_seg: 97.3463, loss: 0.0733 2023-02-25 15:55:26,736 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 11:36:32, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0297, aux.loss_ce: 0.0258, aux.acc_seg: 97.3756, loss: 0.0728 2023-02-25 15:56:26,592 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 11:35:35, time: 1.197, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0187, aux.loss_ce: 0.0263, aux.acc_seg: 97.3011, loss: 0.0734 2023-02-25 15:57:22,969 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 11:34:37, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9857, aux.loss_ce: 0.0265, aux.acc_seg: 97.3136, loss: 0.0745 2023-02-25 15:58:19,248 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:58:19,248 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 11:33:39, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0240, aux.loss_ce: 0.0261, aux.acc_seg: 97.3413, loss: 0.0733 2023-02-25 15:59:15,575 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 11:32:40, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0971, aux.loss_ce: 0.0257, aux.acc_seg: 97.3769, loss: 0.0710 2023-02-25 16:00:14,772 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 11:31:43, time: 1.184, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0742, aux.loss_ce: 0.0260, aux.acc_seg: 97.3667, loss: 0.0719 2023-02-25 16:01:11,132 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 11:30:45, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9942, aux.loss_ce: 0.0270, aux.acc_seg: 97.2698, loss: 0.0748 2023-02-25 16:02:07,498 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 11:29:47, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9729, aux.loss_ce: 0.0267, aux.acc_seg: 97.2866, loss: 0.0752 2023-02-25 16:03:07,104 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 11:28:49, time: 1.192, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0171, aux.loss_ce: 0.0268, aux.acc_seg: 97.2699, loss: 0.0739 2023-02-25 16:04:03,422 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 11:27:51, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9730, aux.loss_ce: 0.0265, aux.acc_seg: 97.2985, loss: 0.0747 2023-02-25 16:05:00,497 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 11:26:53, time: 1.142, data_time: 0.026, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0468, aux.loss_ce: 0.0258, aux.acc_seg: 97.3850, loss: 0.0722 2023-02-25 16:05:56,856 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 11:25:55, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0639, aux.loss_ce: 0.0259, aux.acc_seg: 97.3325, loss: 0.0719 2023-02-25 16:06:56,010 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 11:24:57, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1220, aux.loss_ce: 0.0253, aux.acc_seg: 97.4138, loss: 0.0701 2023-02-25 16:07:52,428 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 11:23:59, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9792, aux.loss_ce: 0.0260, aux.acc_seg: 97.3527, loss: 0.0740 2023-02-25 16:08:48,827 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 11:23:01, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9542, aux.loss_ce: 0.0270, aux.acc_seg: 97.2858, loss: 0.0763 2023-02-25 16:09:45,475 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 11:22:03, time: 1.133, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9562, aux.loss_ce: 0.0263, aux.acc_seg: 97.3306, loss: 0.0753 2023-02-25 16:10:44,706 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 11:21:05, time: 1.185, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9698, aux.loss_ce: 0.0263, aux.acc_seg: 97.3110, loss: 0.0747 2023-02-25 16:11:41,113 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 11:20:07, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0703, aux.loss_ce: 0.0255, aux.acc_seg: 97.3874, loss: 0.0714 2023-02-25 16:12:37,447 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 11:19:09, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9372, aux.loss_ce: 0.0268, aux.acc_seg: 97.2862, loss: 0.0761 2023-02-25 16:13:33,861 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 11:18:11, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0846, aux.loss_ce: 0.0251, aux.acc_seg: 97.4626, loss: 0.0708 2023-02-25 16:14:33,927 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 11:17:14, time: 1.201, data_time: 0.087, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0380, aux.loss_ce: 0.0257, aux.acc_seg: 97.3769, loss: 0.0726 2023-02-25 16:15:30,664 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 11:16:16, time: 1.135, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9513, aux.loss_ce: 0.0263, aux.acc_seg: 97.3252, loss: 0.0754 2023-02-25 16:16:27,126 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 11:15:17, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 98.0055, aux.loss_ce: 0.0265, aux.acc_seg: 97.3115, loss: 0.0745 2023-02-25 16:17:26,503 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:17:26,503 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 11:14:20, time: 1.187, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0006, aux.loss_ce: 0.0258, aux.acc_seg: 97.3467, loss: 0.0731 2023-02-25 16:18:22,894 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 11:13:22, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0442, aux.loss_ce: 0.0260, aux.acc_seg: 97.3623, loss: 0.0728 2023-02-25 16:19:19,290 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 11:12:24, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9972, aux.loss_ce: 0.0261, aux.acc_seg: 97.3364, loss: 0.0737 2023-02-25 16:20:15,753 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 11:11:25, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0512, aux.loss_ce: 0.0260, aux.acc_seg: 97.3538, loss: 0.0724 2023-02-25 16:21:14,921 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 11:10:28, time: 1.183, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9717, aux.loss_ce: 0.0278, aux.acc_seg: 97.2300, loss: 0.0764 2023-02-25 16:22:11,291 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 11:09:30, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0501, decode.acc_seg: 97.9165, aux.loss_ce: 0.0270, aux.acc_seg: 97.2492, loss: 0.0771 2023-02-25 16:23:07,607 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 11:08:32, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0895, aux.loss_ce: 0.0250, aux.acc_seg: 97.4407, loss: 0.0704 2023-02-25 16:24:04,005 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 11:07:33, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1296, aux.loss_ce: 0.0258, aux.acc_seg: 97.3836, loss: 0.0709 2023-02-25 16:25:03,303 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 11:06:36, time: 1.186, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0200, aux.loss_ce: 0.0254, aux.acc_seg: 97.4066, loss: 0.0728 2023-02-25 16:25:59,610 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 11:05:38, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0484, aux.loss_ce: 0.0256, aux.acc_seg: 97.3840, loss: 0.0716 2023-02-25 16:26:56,043 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 11:04:40, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0206, aux.loss_ce: 0.0264, aux.acc_seg: 97.3240, loss: 0.0737 2023-02-25 16:27:52,370 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 11:03:41, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9952, aux.loss_ce: 0.0262, aux.acc_seg: 97.3254, loss: 0.0740 2023-02-25 16:28:51,626 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 11:02:44, time: 1.185, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0719, aux.loss_ce: 0.0258, aux.acc_seg: 97.3660, loss: 0.0720 2023-02-25 16:29:47,996 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 11:01:46, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0299, aux.loss_ce: 0.0262, aux.acc_seg: 97.3145, loss: 0.0733 2023-02-25 16:30:44,343 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 11:00:48, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9582, aux.loss_ce: 0.0270, aux.acc_seg: 97.2304, loss: 0.0756 2023-02-25 16:31:43,484 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 10:59:50, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0348, aux.loss_ce: 0.0254, aux.acc_seg: 97.3898, loss: 0.0720 2023-02-25 16:32:39,955 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 10:58:52, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9481, aux.loss_ce: 0.0264, aux.acc_seg: 97.2975, loss: 0.0751 2023-02-25 16:33:36,315 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 10:57:54, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0246, aux.loss_ce: 0.0272, aux.acc_seg: 97.2425, loss: 0.0746 2023-02-25 16:34:32,734 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 10:56:56, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 98.0083, aux.loss_ce: 0.0255, aux.acc_seg: 97.4071, loss: 0.0732 2023-02-25 16:35:31,948 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 10:55:58, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0807, aux.loss_ce: 0.0254, aux.acc_seg: 97.4052, loss: 0.0713 2023-02-25 16:36:28,385 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:36:28,385 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 10:55:00, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0447, aux.loss_ce: 0.0264, aux.acc_seg: 97.3187, loss: 0.0733 2023-02-25 16:37:24,746 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 10:54:02, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9874, aux.loss_ce: 0.0265, aux.acc_seg: 97.2746, loss: 0.0743 2023-02-25 16:38:21,094 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 10:53:04, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0989, aux.loss_ce: 0.0259, aux.acc_seg: 97.3655, loss: 0.0711 2023-02-25 16:39:20,353 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 10:52:06, time: 1.185, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0600, aux.loss_ce: 0.0257, aux.acc_seg: 97.3925, loss: 0.0721 2023-02-25 16:40:16,714 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 10:51:08, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0134, aux.loss_ce: 0.0267, aux.acc_seg: 97.2608, loss: 0.0739 2023-02-25 16:41:13,097 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 10:50:10, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9750, aux.loss_ce: 0.0267, aux.acc_seg: 97.2690, loss: 0.0749 2023-02-25 16:42:12,265 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 10:49:13, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1429, aux.loss_ce: 0.0252, aux.acc_seg: 97.4201, loss: 0.0691 2023-02-25 16:43:08,666 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 10:48:14, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1120, aux.loss_ce: 0.0250, aux.acc_seg: 97.4431, loss: 0.0699 2023-02-25 16:44:05,034 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 10:47:16, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0294, aux.loss_ce: 0.0254, aux.acc_seg: 97.3960, loss: 0.0723 2023-02-25 16:45:01,342 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 10:46:18, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9603, aux.loss_ce: 0.0268, aux.acc_seg: 97.2623, loss: 0.0755 2023-02-25 16:46:00,459 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 10:45:21, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0393, aux.loss_ce: 0.0265, aux.acc_seg: 97.2999, loss: 0.0730 2023-02-25 16:46:56,816 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 10:44:23, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9924, aux.loss_ce: 0.0261, aux.acc_seg: 97.3566, loss: 0.0744 2023-02-25 16:47:53,165 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 10:43:24, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9915, aux.loss_ce: 0.0266, aux.acc_seg: 97.2919, loss: 0.0746 2023-02-25 16:48:49,520 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 10:42:26, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0466, aux.loss_ce: 0.0257, aux.acc_seg: 97.3678, loss: 0.0720 2023-02-25 16:49:48,694 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 10:41:29, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0114, aux.loss_ce: 0.0255, aux.acc_seg: 97.3774, loss: 0.0729 2023-02-25 16:50:45,068 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 10:40:31, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0094, aux.loss_ce: 0.0266, aux.acc_seg: 97.2769, loss: 0.0738 2023-02-25 16:51:41,444 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 10:39:32, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0074, aux.loss_ce: 0.0260, aux.acc_seg: 97.3396, loss: 0.0736 2023-02-25 16:52:37,965 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 10:38:34, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0606, aux.loss_ce: 0.0255, aux.acc_seg: 97.3754, loss: 0.0712 2023-02-25 16:53:37,086 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 10:37:37, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0441, aux.loss_ce: 0.0257, aux.acc_seg: 97.3794, loss: 0.0726 2023-02-25 16:54:33,420 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 10:36:39, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0496, decode.acc_seg: 97.9143, aux.loss_ce: 0.0270, aux.acc_seg: 97.2420, loss: 0.0766 2023-02-25 16:55:29,757 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:55:29,759 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 10:35:41, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9722, aux.loss_ce: 0.0261, aux.acc_seg: 97.3200, loss: 0.0744 2023-02-25 16:56:28,925 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 10:34:43, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0365, aux.loss_ce: 0.0257, aux.acc_seg: 97.3872, loss: 0.0728 2023-02-25 16:57:25,614 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 10:33:45, time: 1.134, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0952, aux.loss_ce: 0.0271, aux.acc_seg: 97.2662, loss: 0.0725 2023-02-25 16:58:21,993 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 10:32:47, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9568, aux.loss_ce: 0.0270, aux.acc_seg: 97.2479, loss: 0.0752 2023-02-25 16:59:18,360 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 10:31:49, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0134, aux.loss_ce: 0.0260, aux.acc_seg: 97.3488, loss: 0.0731 2023-02-25 17:00:17,443 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 10:30:51, time: 1.182, data_time: 0.064, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0505, aux.loss_ce: 0.0254, aux.acc_seg: 97.4153, loss: 0.0719 2023-02-25 17:01:13,865 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 10:29:53, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0118, aux.loss_ce: 0.0266, aux.acc_seg: 97.2864, loss: 0.0741 2023-02-25 17:02:10,196 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 10:28:55, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0642, aux.loss_ce: 0.0259, aux.acc_seg: 97.3636, loss: 0.0722 2023-02-25 17:03:06,539 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 10:27:57, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0597, aux.loss_ce: 0.0258, aux.acc_seg: 97.3623, loss: 0.0717 2023-02-25 17:04:05,739 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 10:26:59, time: 1.184, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0571, aux.loss_ce: 0.0264, aux.acc_seg: 97.3142, loss: 0.0728 2023-02-25 17:05:02,076 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 10:26:01, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0871, aux.loss_ce: 0.0255, aux.acc_seg: 97.3945, loss: 0.0710 2023-02-25 17:05:58,470 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 10:25:03, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0271, aux.loss_ce: 0.0262, aux.acc_seg: 97.3200, loss: 0.0731 2023-02-25 17:06:57,754 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 10:24:06, time: 1.186, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0752, aux.loss_ce: 0.0259, aux.acc_seg: 97.3418, loss: 0.0715 2023-02-25 17:07:54,100 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 10:23:07, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9711, aux.loss_ce: 0.0264, aux.acc_seg: 97.3175, loss: 0.0747 2023-02-25 17:08:50,699 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 10:22:09, time: 1.132, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.1043, aux.loss_ce: 0.0255, aux.acc_seg: 97.4117, loss: 0.0709 2023-02-25 17:09:47,031 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 10:21:11, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9955, aux.loss_ce: 0.0260, aux.acc_seg: 97.3626, loss: 0.0740 2023-02-25 17:10:46,138 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 10:20:14, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0416, aux.loss_ce: 0.0264, aux.acc_seg: 97.3093, loss: 0.0733 2023-02-25 17:11:42,482 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 10:19:16, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0217, aux.loss_ce: 0.0258, aux.acc_seg: 97.3555, loss: 0.0727 2023-02-25 17:12:38,812 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 10:18:18, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0041, aux.loss_ce: 0.0261, aux.acc_seg: 97.3503, loss: 0.0734 2023-02-25 17:13:35,300 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 10:17:19, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9950, aux.loss_ce: 0.0262, aux.acc_seg: 97.3198, loss: 0.0739 2023-02-25 17:14:34,561 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-02-25 17:14:37,551 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:14:37,553 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 10:16:23, time: 1.245, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0507, aux.loss_ce: 0.0255, aux.acc_seg: 97.4061, loss: 0.0721 2023-02-25 17:15:40,687 - mmseg - INFO - per class results: 2023-02-25 17:15:40,689 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.53 | 99.21 | | sidewalk | 87.73 | 93.65 | | building | 93.63 | 97.29 | | wall | 60.36 | 65.7 | | fence | 66.56 | 72.96 | | pole | 71.75 | 83.66 | | traffic light | 76.52 | 86.27 | | traffic sign | 84.01 | 90.65 | | vegetation | 93.37 | 96.95 | | terrain | 67.16 | 75.26 | | sky | 95.7 | 98.15 | | person | 85.82 | 93.03 | | rider | 68.86 | 80.88 | | car | 96.13 | 98.43 | | truck | 85.4 | 88.47 | | bus | 92.89 | 94.39 | | train | 87.17 | 92.35 | | motorcycle | 72.91 | 83.54 | | bicycle | 81.93 | 91.09 | +---------------+-------+-------+ 2023-02-25 17:15:40,689 - mmseg - INFO - Summary: 2023-02-25 17:15:40,689 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.79 | 82.44 | 88.52 | +-------+-------+-------+ 2023-02-25 17:15:40,690 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:15:40,690 - mmseg - INFO - Iter(val) [125] aAcc: 0.9679, mIoU: 0.8244, mAcc: 0.8852, IoU.road: 0.9853, IoU.sidewalk: 0.8773, IoU.building: 0.9363, IoU.wall: 0.6036, IoU.fence: 0.6656, IoU.pole: 0.7175, IoU.traffic light: 0.7652, IoU.traffic sign: 0.8401, IoU.vegetation: 0.9337, IoU.terrain: 0.6716, IoU.sky: 0.9570, IoU.person: 0.8582, IoU.rider: 0.6886, IoU.car: 0.9613, IoU.truck: 0.8540, IoU.bus: 0.9289, IoU.train: 0.8717, IoU.motorcycle: 0.7291, IoU.bicycle: 0.8193, Acc.road: 0.9921, Acc.sidewalk: 0.9365, Acc.building: 0.9729, Acc.wall: 0.6570, Acc.fence: 0.7296, Acc.pole: 0.8366, Acc.traffic light: 0.8627, Acc.traffic sign: 0.9065, Acc.vegetation: 0.9695, Acc.terrain: 0.7526, Acc.sky: 0.9815, Acc.person: 0.9303, Acc.rider: 0.8088, Acc.car: 0.9843, Acc.truck: 0.8847, Acc.bus: 0.9439, Acc.train: 0.9235, Acc.motorcycle: 0.8354, Acc.bicycle: 0.9109 2023-02-25 17:16:37,022 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 10:15:40, time: 2.389, data_time: 1.273, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0717, aux.loss_ce: 0.0256, aux.acc_seg: 97.3845, loss: 0.0716 2023-02-25 17:17:33,438 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 10:14:42, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0486, aux.loss_ce: 0.0262, aux.acc_seg: 97.3330, loss: 0.0728 2023-02-25 17:18:29,909 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 10:13:44, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 98.0144, aux.loss_ce: 0.0269, aux.acc_seg: 97.2629, loss: 0.0746 2023-02-25 17:19:29,074 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 10:12:47, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.1162, aux.loss_ce: 0.0254, aux.acc_seg: 97.4210, loss: 0.0705 2023-02-25 17:20:25,856 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 10:11:48, time: 1.136, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0579, aux.loss_ce: 0.0265, aux.acc_seg: 97.3208, loss: 0.0733 2023-02-25 17:21:22,225 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 10:10:50, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0370, aux.loss_ce: 0.0260, aux.acc_seg: 97.3519, loss: 0.0728 2023-02-25 17:22:21,571 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 10:09:53, time: 1.187, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0860, aux.loss_ce: 0.0257, aux.acc_seg: 97.3854, loss: 0.0715 2023-02-25 17:23:17,973 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 10:08:55, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0643, aux.loss_ce: 0.0257, aux.acc_seg: 97.3931, loss: 0.0721 2023-02-25 17:24:14,338 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 10:07:57, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0386, aux.loss_ce: 0.0257, aux.acc_seg: 97.4007, loss: 0.0728 2023-02-25 17:25:10,945 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 10:06:58, time: 1.132, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0548, aux.loss_ce: 0.0251, aux.acc_seg: 97.4152, loss: 0.0711 2023-02-25 17:26:10,025 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 10:06:01, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0423, aux.loss_ce: 0.0265, aux.acc_seg: 97.2703, loss: 0.0725 2023-02-25 17:27:06,375 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 10:05:03, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0298, aux.loss_ce: 0.0258, aux.acc_seg: 97.3781, loss: 0.0724 2023-02-25 17:28:02,636 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 10:04:05, time: 1.125, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0119, aux.loss_ce: 0.0266, aux.acc_seg: 97.3075, loss: 0.0739 2023-02-25 17:28:59,024 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 10:03:06, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9988, aux.loss_ce: 0.0265, aux.acc_seg: 97.3234, loss: 0.0744 2023-02-25 17:29:58,696 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 10:02:09, time: 1.193, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0275, aux.loss_ce: 0.0262, aux.acc_seg: 97.3485, loss: 0.0735 2023-02-25 17:30:55,096 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 10:01:11, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0843, aux.loss_ce: 0.0257, aux.acc_seg: 97.3940, loss: 0.0715 2023-02-25 17:31:51,603 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 10:00:13, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9988, aux.loss_ce: 0.0262, aux.acc_seg: 97.3221, loss: 0.0741 2023-02-25 17:32:50,970 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 9:59:15, time: 1.187, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0598, aux.loss_ce: 0.0256, aux.acc_seg: 97.3744, loss: 0.0716 2023-02-25 17:33:47,323 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 9:58:17, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9792, aux.loss_ce: 0.0260, aux.acc_seg: 97.3520, loss: 0.0742 2023-02-25 17:34:43,707 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:34:43,710 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 9:57:19, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1310, aux.loss_ce: 0.0254, aux.acc_seg: 97.4085, loss: 0.0700 2023-02-25 17:35:39,971 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 9:56:21, time: 1.125, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9711, aux.loss_ce: 0.0259, aux.acc_seg: 97.3481, loss: 0.0742 2023-02-25 17:36:39,201 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 9:55:23, time: 1.185, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0091, aux.loss_ce: 0.0259, aux.acc_seg: 97.3590, loss: 0.0735 2023-02-25 17:37:35,537 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 9:54:25, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9786, aux.loss_ce: 0.0263, aux.acc_seg: 97.3221, loss: 0.0745 2023-02-25 17:38:31,837 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 9:53:27, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0647, aux.loss_ce: 0.0254, aux.acc_seg: 97.4038, loss: 0.0714 2023-02-25 17:39:28,189 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 9:52:29, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0392, aux.loss_ce: 0.0256, aux.acc_seg: 97.4063, loss: 0.0724 2023-02-25 17:40:27,401 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 9:51:32, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0169, aux.loss_ce: 0.0258, aux.acc_seg: 97.3416, loss: 0.0728 2023-02-25 17:41:23,843 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 9:50:33, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0728, aux.loss_ce: 0.0260, aux.acc_seg: 97.3483, loss: 0.0721 2023-02-25 17:42:20,274 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 9:49:35, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9740, aux.loss_ce: 0.0268, aux.acc_seg: 97.2557, loss: 0.0748 2023-02-25 17:43:16,651 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 9:48:37, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0126, aux.loss_ce: 0.0254, aux.acc_seg: 97.4054, loss: 0.0727 2023-02-25 17:44:15,793 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 9:47:40, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0149, aux.loss_ce: 0.0261, aux.acc_seg: 97.3365, loss: 0.0731 2023-02-25 17:45:12,172 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 9:46:42, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1092, aux.loss_ce: 0.0255, aux.acc_seg: 97.3954, loss: 0.0703 2023-02-25 17:46:08,526 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 9:45:43, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9681, aux.loss_ce: 0.0269, aux.acc_seg: 97.2742, loss: 0.0754 2023-02-25 17:47:07,662 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 9:44:46, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0378, aux.loss_ce: 0.0257, aux.acc_seg: 97.3618, loss: 0.0726 2023-02-25 17:48:04,018 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 9:43:48, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0714, aux.loss_ce: 0.0263, aux.acc_seg: 97.3131, loss: 0.0720 2023-02-25 17:49:00,291 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 9:42:50, time: 1.125, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0910, aux.loss_ce: 0.0256, aux.acc_seg: 97.3873, loss: 0.0711 2023-02-25 17:49:56,673 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 9:41:51, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9700, aux.loss_ce: 0.0267, aux.acc_seg: 97.2662, loss: 0.0750 2023-02-25 17:50:55,849 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 9:40:54, time: 1.183, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9633, aux.loss_ce: 0.0259, aux.acc_seg: 97.3545, loss: 0.0744 2023-02-25 17:51:52,222 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 9:39:56, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0789, aux.loss_ce: 0.0255, aux.acc_seg: 97.3991, loss: 0.0712 2023-02-25 17:52:48,664 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 9:38:58, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0765, aux.loss_ce: 0.0253, aux.acc_seg: 97.4204, loss: 0.0712 2023-02-25 17:53:45,097 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:53:45,146 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 9:38:00, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0604, aux.loss_ce: 0.0269, aux.acc_seg: 97.2969, loss: 0.0731 2023-02-25 17:54:44,243 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 9:37:02, time: 1.183, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0834, aux.loss_ce: 0.0258, aux.acc_seg: 97.3542, loss: 0.0713 2023-02-25 17:55:40,625 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 9:36:04, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0487, decode.acc_seg: 97.9572, aux.loss_ce: 0.0258, aux.acc_seg: 97.3454, loss: 0.0745 2023-02-25 17:56:37,012 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 9:35:06, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1193, aux.loss_ce: 0.0251, aux.acc_seg: 97.4476, loss: 0.0699 2023-02-25 17:57:33,385 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 9:34:08, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0150, aux.loss_ce: 0.0265, aux.acc_seg: 97.3100, loss: 0.0740 2023-02-25 17:58:32,565 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 9:33:10, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0919, aux.loss_ce: 0.0254, aux.acc_seg: 97.4136, loss: 0.0710 2023-02-25 17:59:29,041 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 9:32:12, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0569, aux.loss_ce: 0.0256, aux.acc_seg: 97.3655, loss: 0.0716 2023-02-25 18:00:25,508 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 9:31:14, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9872, aux.loss_ce: 0.0258, aux.acc_seg: 97.3601, loss: 0.0737 2023-02-25 18:01:24,712 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 9:30:17, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9955, aux.loss_ce: 0.0258, aux.acc_seg: 97.3835, loss: 0.0738 2023-02-25 18:02:21,566 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 9:29:19, time: 1.137, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9945, aux.loss_ce: 0.0266, aux.acc_seg: 97.2680, loss: 0.0744 2023-02-25 18:03:18,001 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 9:28:20, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0072, aux.loss_ce: 0.0256, aux.acc_seg: 97.3933, loss: 0.0732 2023-02-25 18:04:14,345 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 9:27:22, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9870, aux.loss_ce: 0.0262, aux.acc_seg: 97.3276, loss: 0.0739 2023-02-25 18:05:13,531 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 9:26:25, time: 1.184, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0032, aux.loss_ce: 0.0260, aux.acc_seg: 97.3387, loss: 0.0735 2023-02-25 18:06:09,961 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 9:25:27, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9865, aux.loss_ce: 0.0260, aux.acc_seg: 97.3404, loss: 0.0740 2023-02-25 18:07:06,485 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 9:24:29, time: 1.130, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0137, aux.loss_ce: 0.0259, aux.acc_seg: 97.3613, loss: 0.0733 2023-02-25 18:08:02,801 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 9:23:31, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9935, aux.loss_ce: 0.0261, aux.acc_seg: 97.3429, loss: 0.0739 2023-02-25 18:09:01,999 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 9:22:33, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0127, aux.loss_ce: 0.0257, aux.acc_seg: 97.3758, loss: 0.0731 2023-02-25 18:09:58,442 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 9:21:35, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9959, aux.loss_ce: 0.0259, aux.acc_seg: 97.3460, loss: 0.0736 2023-02-25 18:10:54,852 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 9:20:37, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0087, aux.loss_ce: 0.0263, aux.acc_seg: 97.3263, loss: 0.0738 2023-02-25 18:11:54,569 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 9:19:39, time: 1.194, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0244, aux.loss_ce: 0.0255, aux.acc_seg: 97.3974, loss: 0.0725 2023-02-25 18:12:50,915 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:12:50,916 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 9:18:41, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0316, aux.loss_ce: 0.0260, aux.acc_seg: 97.3589, loss: 0.0731 2023-02-25 18:13:47,371 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 9:17:43, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9523, aux.loss_ce: 0.0262, aux.acc_seg: 97.3322, loss: 0.0752 2023-02-25 18:14:43,737 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 9:16:45, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0106, aux.loss_ce: 0.0257, aux.acc_seg: 97.3819, loss: 0.0731 2023-02-25 18:15:43,275 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 9:15:48, time: 1.191, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1032, aux.loss_ce: 0.0249, aux.acc_seg: 97.4282, loss: 0.0694 2023-02-25 18:16:39,568 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 9:14:50, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9571, aux.loss_ce: 0.0265, aux.acc_seg: 97.3083, loss: 0.0750 2023-02-25 18:17:35,867 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 9:13:51, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0762, aux.loss_ce: 0.0254, aux.acc_seg: 97.3988, loss: 0.0710 2023-02-25 18:18:32,232 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 9:12:53, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0253, aux.loss_ce: 0.0256, aux.acc_seg: 97.3920, loss: 0.0725 2023-02-25 18:19:31,352 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 9:11:56, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9897, aux.loss_ce: 0.0261, aux.acc_seg: 97.3458, loss: 0.0741 2023-02-25 18:20:27,703 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 9:10:58, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0321, aux.loss_ce: 0.0259, aux.acc_seg: 97.3394, loss: 0.0726 2023-02-25 18:21:24,174 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 9:10:00, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0167, aux.loss_ce: 0.0258, aux.acc_seg: 97.3685, loss: 0.0733 2023-02-25 18:22:20,783 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 9:09:02, time: 1.132, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0515, aux.loss_ce: 0.0250, aux.acc_seg: 97.4298, loss: 0.0711 2023-02-25 18:23:20,313 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 9:08:04, time: 1.191, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0690, aux.loss_ce: 0.0251, aux.acc_seg: 97.4369, loss: 0.0711 2023-02-25 18:24:16,853 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 9:07:06, time: 1.131, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0791, aux.loss_ce: 0.0259, aux.acc_seg: 97.3512, loss: 0.0714 2023-02-25 18:25:13,188 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 9:06:08, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0568, aux.loss_ce: 0.0253, aux.acc_seg: 97.4029, loss: 0.0716 2023-02-25 18:26:12,285 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 9:05:11, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9845, aux.loss_ce: 0.0268, aux.acc_seg: 97.2563, loss: 0.0747 2023-02-25 18:27:08,602 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 9:04:12, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0618, aux.loss_ce: 0.0257, aux.acc_seg: 97.4031, loss: 0.0718 2023-02-25 18:28:04,904 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 9:03:14, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0262, aux.loss_ce: 0.0259, aux.acc_seg: 97.3418, loss: 0.0729 2023-02-25 18:29:01,232 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 9:02:16, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9770, aux.loss_ce: 0.0268, aux.acc_seg: 97.2485, loss: 0.0748 2023-02-25 18:30:00,646 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 9:01:19, time: 1.188, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0113, aux.loss_ce: 0.0251, aux.acc_seg: 97.4432, loss: 0.0726 2023-02-25 18:30:57,040 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 9:00:21, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.1064, aux.loss_ce: 0.0260, aux.acc_seg: 97.3545, loss: 0.0711 2023-02-25 18:31:53,380 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:31:53,382 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 8:59:23, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9468, aux.loss_ce: 0.0260, aux.acc_seg: 97.3328, loss: 0.0749 2023-02-25 18:32:49,672 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 8:58:24, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0378, aux.loss_ce: 0.0250, aux.acc_seg: 97.4324, loss: 0.0715 2023-02-25 18:33:48,804 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 8:57:27, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9919, aux.loss_ce: 0.0262, aux.acc_seg: 97.3252, loss: 0.0739 2023-02-25 18:34:45,093 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 8:56:29, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0674, aux.loss_ce: 0.0257, aux.acc_seg: 97.3751, loss: 0.0714 2023-02-25 18:35:41,492 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 8:55:31, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0041, aux.loss_ce: 0.0264, aux.acc_seg: 97.3099, loss: 0.0740 2023-02-25 18:36:41,180 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 8:54:33, time: 1.194, data_time: 0.077, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9868, aux.loss_ce: 0.0273, aux.acc_seg: 97.2342, loss: 0.0752 2023-02-25 18:37:37,557 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 8:53:35, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0502, decode.acc_seg: 97.8862, aux.loss_ce: 0.0267, aux.acc_seg: 97.2576, loss: 0.0769 2023-02-25 18:38:33,988 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 8:52:37, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0542, aux.loss_ce: 0.0258, aux.acc_seg: 97.3767, loss: 0.0720 2023-02-25 18:39:30,363 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 8:51:39, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0342, aux.loss_ce: 0.0261, aux.acc_seg: 97.3187, loss: 0.0729 2023-02-25 18:40:29,888 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 8:50:42, time: 1.191, data_time: 0.076, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0110, aux.loss_ce: 0.0261, aux.acc_seg: 97.3327, loss: 0.0735 2023-02-25 18:41:26,298 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 8:49:44, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9956, aux.loss_ce: 0.0259, aux.acc_seg: 97.3487, loss: 0.0736 2023-02-25 18:42:22,644 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 8:48:46, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0110, aux.loss_ce: 0.0257, aux.acc_seg: 97.3319, loss: 0.0726 2023-02-25 18:43:18,991 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 8:47:47, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9974, aux.loss_ce: 0.0262, aux.acc_seg: 97.3395, loss: 0.0740 2023-02-25 18:44:18,191 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 8:46:50, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0935, aux.loss_ce: 0.0253, aux.acc_seg: 97.4259, loss: 0.0708 2023-02-25 18:45:14,585 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 8:45:52, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0523, aux.loss_ce: 0.0261, aux.acc_seg: 97.3349, loss: 0.0726 2023-02-25 18:46:10,936 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 8:44:54, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0478, aux.loss_ce: 0.0256, aux.acc_seg: 97.3725, loss: 0.0718 2023-02-25 18:47:07,332 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 8:43:56, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0444, aux.loss_ce: 0.0261, aux.acc_seg: 97.3402, loss: 0.0726 2023-02-25 18:48:06,540 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 8:42:58, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0143, aux.loss_ce: 0.0257, aux.acc_seg: 97.3539, loss: 0.0728 2023-02-25 18:49:02,932 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 8:42:00, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0553, aux.loss_ce: 0.0252, aux.acc_seg: 97.3917, loss: 0.0711 2023-02-25 18:49:59,369 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 8:41:02, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9971, aux.loss_ce: 0.0260, aux.acc_seg: 97.3343, loss: 0.0736 2023-02-25 18:50:58,527 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:50:58,527 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 8:40:05, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0350, aux.loss_ce: 0.0253, aux.acc_seg: 97.4094, loss: 0.0720 2023-02-25 18:51:54,879 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 8:39:06, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0376, aux.loss_ce: 0.0260, aux.acc_seg: 97.3407, loss: 0.0726 2023-02-25 18:52:51,397 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 8:38:08, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9905, aux.loss_ce: 0.0258, aux.acc_seg: 97.3737, loss: 0.0740 2023-02-25 18:53:47,823 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 8:37:10, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0911, aux.loss_ce: 0.0259, aux.acc_seg: 97.3480, loss: 0.0713 2023-02-25 18:54:47,023 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 8:36:13, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1122, aux.loss_ce: 0.0253, aux.acc_seg: 97.4218, loss: 0.0702 2023-02-25 18:55:43,393 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 8:35:15, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0481, decode.acc_seg: 97.9946, aux.loss_ce: 0.0269, aux.acc_seg: 97.2694, loss: 0.0749 2023-02-25 18:56:39,785 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 8:34:17, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0517, aux.loss_ce: 0.0252, aux.acc_seg: 97.4104, loss: 0.0713 2023-02-25 18:57:36,175 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 8:33:19, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9655, aux.loss_ce: 0.0263, aux.acc_seg: 97.3245, loss: 0.0747 2023-02-25 18:58:35,360 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 8:32:21, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0497, aux.loss_ce: 0.0258, aux.acc_seg: 97.3608, loss: 0.0720 2023-02-25 18:59:31,766 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 8:31:23, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0650, aux.loss_ce: 0.0260, aux.acc_seg: 97.3455, loss: 0.0721 2023-02-25 19:00:28,191 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 8:30:25, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0199, aux.loss_ce: 0.0260, aux.acc_seg: 97.3396, loss: 0.0731 2023-02-25 19:01:27,394 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 8:29:28, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0855, aux.loss_ce: 0.0253, aux.acc_seg: 97.3998, loss: 0.0708 2023-02-25 19:02:23,771 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 8:28:29, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0421, aux.loss_ce: 0.0253, aux.acc_seg: 97.3999, loss: 0.0717 2023-02-25 19:03:20,222 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 8:27:31, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0401, aux.loss_ce: 0.0263, aux.acc_seg: 97.3256, loss: 0.0732 2023-02-25 19:04:16,658 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 8:26:33, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0148, aux.loss_ce: 0.0260, aux.acc_seg: 97.3571, loss: 0.0734 2023-02-25 19:05:15,794 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 8:25:36, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9720, aux.loss_ce: 0.0259, aux.acc_seg: 97.3359, loss: 0.0739 2023-02-25 19:06:12,346 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 8:24:38, time: 1.131, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0546, aux.loss_ce: 0.0255, aux.acc_seg: 97.4067, loss: 0.0720 2023-02-25 19:07:08,739 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 8:23:40, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0112, aux.loss_ce: 0.0259, aux.acc_seg: 97.3536, loss: 0.0733 2023-02-25 19:08:05,113 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 8:22:42, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.1109, aux.loss_ce: 0.0255, aux.acc_seg: 97.4047, loss: 0.0708 2023-02-25 19:09:04,222 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 8:21:44, time: 1.182, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 98.0009, aux.loss_ce: 0.0261, aux.acc_seg: 97.3354, loss: 0.0738 2023-02-25 19:10:00,562 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:10:00,562 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 8:20:46, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9895, aux.loss_ce: 0.0260, aux.acc_seg: 97.3231, loss: 0.0736 2023-02-25 19:10:57,400 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 8:19:48, time: 1.137, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9863, aux.loss_ce: 0.0264, aux.acc_seg: 97.2915, loss: 0.0742 2023-02-25 19:11:53,718 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 8:18:50, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0052, aux.loss_ce: 0.0254, aux.acc_seg: 97.3971, loss: 0.0729 2023-02-25 19:12:52,798 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 8:17:53, time: 1.182, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0037, aux.loss_ce: 0.0260, aux.acc_seg: 97.3501, loss: 0.0738 2023-02-25 19:13:49,107 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 8:16:55, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0288, aux.loss_ce: 0.0264, aux.acc_seg: 97.3136, loss: 0.0734 2023-02-25 19:14:45,483 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 8:15:56, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0070, aux.loss_ce: 0.0255, aux.acc_seg: 97.3968, loss: 0.0728 2023-02-25 19:15:45,051 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 8:14:59, time: 1.191, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 97.9999, aux.loss_ce: 0.0262, aux.acc_seg: 97.3035, loss: 0.0735 2023-02-25 19:16:41,428 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 8:14:01, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0628, aux.loss_ce: 0.0251, aux.acc_seg: 97.4187, loss: 0.0709 2023-02-25 19:17:37,854 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 8:13:03, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0483, aux.loss_ce: 0.0254, aux.acc_seg: 97.4160, loss: 0.0717 2023-02-25 19:18:34,240 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 8:12:05, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0486, decode.acc_seg: 97.9604, aux.loss_ce: 0.0263, aux.acc_seg: 97.3223, loss: 0.0749 2023-02-25 19:19:33,292 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 8:11:07, time: 1.181, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0687, aux.loss_ce: 0.0253, aux.acc_seg: 97.4294, loss: 0.0714 2023-02-25 19:20:29,610 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 8:10:09, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0285, aux.loss_ce: 0.0263, aux.acc_seg: 97.3217, loss: 0.0735 2023-02-25 19:21:25,913 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 8:09:11, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0521, aux.loss_ce: 0.0254, aux.acc_seg: 97.3907, loss: 0.0718 2023-02-25 19:22:22,648 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 8:08:13, time: 1.135, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0490, decode.acc_seg: 97.9338, aux.loss_ce: 0.0259, aux.acc_seg: 97.3535, loss: 0.0749 2023-02-25 19:23:22,459 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 8:07:16, time: 1.196, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0356, aux.loss_ce: 0.0259, aux.acc_seg: 97.3504, loss: 0.0726 2023-02-25 19:24:18,921 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 8:06:18, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0640, aux.loss_ce: 0.0260, aux.acc_seg: 97.3404, loss: 0.0720 2023-02-25 19:25:15,318 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 8:05:20, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0735, aux.loss_ce: 0.0253, aux.acc_seg: 97.4361, loss: 0.0713 2023-02-25 19:26:11,664 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 8:04:22, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0306, aux.loss_ce: 0.0259, aux.acc_seg: 97.3400, loss: 0.0725 2023-02-25 19:27:10,820 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 8:03:24, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0057, aux.loss_ce: 0.0260, aux.acc_seg: 97.3481, loss: 0.0734 2023-02-25 19:28:07,740 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 8:02:26, time: 1.138, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0266, aux.loss_ce: 0.0259, aux.acc_seg: 97.3413, loss: 0.0728 2023-02-25 19:29:04,168 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:29:04,170 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 8:01:28, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1298, aux.loss_ce: 0.0251, aux.acc_seg: 97.4224, loss: 0.0693 2023-02-25 19:30:03,396 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 8:00:31, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0798, aux.loss_ce: 0.0256, aux.acc_seg: 97.3990, loss: 0.0716 2023-02-25 19:30:59,686 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 7:59:33, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0524, aux.loss_ce: 0.0263, aux.acc_seg: 97.2943, loss: 0.0721 2023-02-25 19:31:55,986 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 7:58:35, time: 1.126, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0983, aux.loss_ce: 0.0247, aux.acc_seg: 97.4695, loss: 0.0697 2023-02-25 19:32:52,584 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 7:57:37, time: 1.132, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0320, aux.loss_ce: 0.0256, aux.acc_seg: 97.3722, loss: 0.0724 2023-02-25 19:33:51,714 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 7:56:39, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0380, aux.loss_ce: 0.0255, aux.acc_seg: 97.3670, loss: 0.0720 2023-02-25 19:34:48,133 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 7:55:41, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0704, aux.loss_ce: 0.0253, aux.acc_seg: 97.4185, loss: 0.0712 2023-02-25 19:35:44,581 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 7:54:43, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9981, aux.loss_ce: 0.0260, aux.acc_seg: 97.3540, loss: 0.0739 2023-02-25 19:36:40,953 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 7:53:45, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0492, decode.acc_seg: 97.9284, aux.loss_ce: 0.0258, aux.acc_seg: 97.3391, loss: 0.0750 2023-02-25 19:37:40,386 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 7:52:48, time: 1.189, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0493, decode.acc_seg: 97.9107, aux.loss_ce: 0.0285, aux.acc_seg: 97.1081, loss: 0.0778 2023-02-25 19:38:36,750 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 7:51:50, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0145, aux.loss_ce: 0.0266, aux.acc_seg: 97.2867, loss: 0.0739 2023-02-25 19:39:33,070 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 7:50:52, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0530, aux.loss_ce: 0.0253, aux.acc_seg: 97.3973, loss: 0.0713 2023-02-25 19:40:32,241 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 7:49:54, time: 1.183, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0212, aux.loss_ce: 0.0267, aux.acc_seg: 97.2693, loss: 0.0738 2023-02-25 19:41:28,589 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 7:48:56, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0921, aux.loss_ce: 0.0254, aux.acc_seg: 97.4185, loss: 0.0710 2023-02-25 19:42:24,988 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 7:47:58, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0277, aux.loss_ce: 0.0254, aux.acc_seg: 97.3996, loss: 0.0723 2023-02-25 19:43:21,327 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 7:47:00, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0067, aux.loss_ce: 0.0263, aux.acc_seg: 97.3059, loss: 0.0736 2023-02-25 19:44:20,523 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 7:46:02, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0318, aux.loss_ce: 0.0268, aux.acc_seg: 97.2813, loss: 0.0738 2023-02-25 19:45:16,854 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 7:45:04, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0489, decode.acc_seg: 97.9367, aux.loss_ce: 0.0263, aux.acc_seg: 97.3164, loss: 0.0752 2023-02-25 19:46:13,234 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 7:44:06, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1128, aux.loss_ce: 0.0251, aux.acc_seg: 97.4254, loss: 0.0699 2023-02-25 19:47:09,543 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 7:43:08, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9899, aux.loss_ce: 0.0261, aux.acc_seg: 97.3297, loss: 0.0738 2023-02-25 19:48:08,757 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:48:08,758 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 7:42:11, time: 1.184, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0623, aux.loss_ce: 0.0257, aux.acc_seg: 97.3711, loss: 0.0717 2023-02-25 19:49:05,204 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 7:41:13, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0304, aux.loss_ce: 0.0257, aux.acc_seg: 97.3678, loss: 0.0725 2023-02-25 19:50:01,593 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 7:40:15, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0283, aux.loss_ce: 0.0255, aux.acc_seg: 97.3813, loss: 0.0725 2023-02-25 19:50:57,903 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 7:39:17, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0918, aux.loss_ce: 0.0259, aux.acc_seg: 97.3755, loss: 0.0716 2023-02-25 19:51:57,224 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 7:38:19, time: 1.186, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0678, aux.loss_ce: 0.0259, aux.acc_seg: 97.3527, loss: 0.0720 2023-02-25 19:52:53,617 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 7:37:21, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0945, aux.loss_ce: 0.0256, aux.acc_seg: 97.3842, loss: 0.0707 2023-02-25 19:53:50,026 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 7:36:23, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0189, aux.loss_ce: 0.0261, aux.acc_seg: 97.3431, loss: 0.0733 2023-02-25 19:54:49,177 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 7:35:26, time: 1.183, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0755, aux.loss_ce: 0.0251, aux.acc_seg: 97.4323, loss: 0.0709 2023-02-25 19:55:45,532 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 7:34:28, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0628, aux.loss_ce: 0.0251, aux.acc_seg: 97.4279, loss: 0.0711 2023-02-25 19:56:41,951 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 7:33:30, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0374, aux.loss_ce: 0.0257, aux.acc_seg: 97.3843, loss: 0.0726 2023-02-25 19:57:38,341 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 7:32:32, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0336, aux.loss_ce: 0.0267, aux.acc_seg: 97.2865, loss: 0.0736 2023-02-25 19:58:37,457 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 7:31:34, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0935, aux.loss_ce: 0.0251, aux.acc_seg: 97.4406, loss: 0.0705 2023-02-25 19:59:33,875 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 7:30:36, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0437, decode.acc_seg: 98.1450, aux.loss_ce: 0.0247, aux.acc_seg: 97.4494, loss: 0.0684 2023-02-25 20:00:30,376 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 7:29:38, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0489, aux.loss_ce: 0.0256, aux.acc_seg: 97.3815, loss: 0.0720 2023-02-25 20:01:26,742 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 7:28:40, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0049, aux.loss_ce: 0.0255, aux.acc_seg: 97.4025, loss: 0.0731 2023-02-25 20:02:26,012 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 7:27:43, time: 1.185, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9912, aux.loss_ce: 0.0264, aux.acc_seg: 97.2954, loss: 0.0742 2023-02-25 20:03:22,474 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 7:26:45, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0342, aux.loss_ce: 0.0261, aux.acc_seg: 97.3229, loss: 0.0726 2023-02-25 20:04:18,908 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 7:25:47, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0387, aux.loss_ce: 0.0260, aux.acc_seg: 97.3642, loss: 0.0730 2023-02-25 20:05:18,113 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 7:24:49, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0301, aux.loss_ce: 0.0256, aux.acc_seg: 97.3769, loss: 0.0724 2023-02-25 20:06:14,472 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 7:23:51, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.1037, aux.loss_ce: 0.0248, aux.acc_seg: 97.4782, loss: 0.0702 2023-02-25 20:07:10,833 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:07:10,833 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 7:22:53, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1373, aux.loss_ce: 0.0248, aux.acc_seg: 97.4664, loss: 0.0693 2023-02-25 20:08:07,291 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 7:21:55, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0127, aux.loss_ce: 0.0256, aux.acc_seg: 97.3567, loss: 0.0726 2023-02-25 20:09:06,654 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 7:20:58, time: 1.187, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0518, aux.loss_ce: 0.0253, aux.acc_seg: 97.4174, loss: 0.0719 2023-02-25 20:10:03,571 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 7:20:00, time: 1.138, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9727, aux.loss_ce: 0.0255, aux.acc_seg: 97.3677, loss: 0.0734 2023-02-25 20:10:59,993 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 7:19:02, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0426, aux.loss_ce: 0.0260, aux.acc_seg: 97.3407, loss: 0.0724 2023-02-25 20:11:56,307 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 7:18:04, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0863, aux.loss_ce: 0.0246, aux.acc_seg: 97.5003, loss: 0.0704 2023-02-25 20:12:55,451 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 7:17:06, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9562, aux.loss_ce: 0.0262, aux.acc_seg: 97.3522, loss: 0.0756 2023-02-25 20:13:51,877 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 7:16:08, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0090, aux.loss_ce: 0.0258, aux.acc_seg: 97.3604, loss: 0.0732 2023-02-25 20:14:48,476 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 7:15:10, time: 1.132, data_time: 0.017, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0607, aux.loss_ce: 0.0250, aux.acc_seg: 97.4361, loss: 0.0710 2023-02-25 20:15:44,853 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 7:14:12, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0584, aux.loss_ce: 0.0253, aux.acc_seg: 97.3903, loss: 0.0713 2023-02-25 20:16:44,708 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 7:13:15, time: 1.197, data_time: 0.081, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0994, aux.loss_ce: 0.0248, aux.acc_seg: 97.4455, loss: 0.0698 2023-02-25 20:17:41,086 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 7:12:17, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0313, aux.loss_ce: 0.0258, aux.acc_seg: 97.3437, loss: 0.0723 2023-02-25 20:18:37,491 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 7:11:19, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0730, aux.loss_ce: 0.0254, aux.acc_seg: 97.4027, loss: 0.0714 2023-02-25 20:19:36,667 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 7:10:21, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0320, aux.loss_ce: 0.0252, aux.acc_seg: 97.4162, loss: 0.0720 2023-02-25 20:20:33,626 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 7:09:23, time: 1.139, data_time: 0.024, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9836, aux.loss_ce: 0.0260, aux.acc_seg: 97.3377, loss: 0.0738 2023-02-25 20:21:29,997 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 7:08:25, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0879, aux.loss_ce: 0.0247, aux.acc_seg: 97.4489, loss: 0.0697 2023-02-25 20:22:26,295 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 7:07:27, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0628, aux.loss_ce: 0.0251, aux.acc_seg: 97.4328, loss: 0.0710 2023-02-25 20:23:25,500 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 7:06:30, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0813, aux.loss_ce: 0.0255, aux.acc_seg: 97.3897, loss: 0.0713 2023-02-25 20:24:21,910 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 7:05:32, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0239, aux.loss_ce: 0.0259, aux.acc_seg: 97.3419, loss: 0.0726 2023-02-25 20:25:18,655 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 7:04:34, time: 1.135, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1176, aux.loss_ce: 0.0251, aux.acc_seg: 97.4228, loss: 0.0695 2023-02-25 20:26:15,010 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:26:15,010 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 7:03:36, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0125, aux.loss_ce: 0.0261, aux.acc_seg: 97.3267, loss: 0.0733 2023-02-25 20:27:14,110 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 7:02:38, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0775, aux.loss_ce: 0.0249, aux.acc_seg: 97.4533, loss: 0.0708 2023-02-25 20:28:10,519 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 7:01:40, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0146, aux.loss_ce: 0.0260, aux.acc_seg: 97.3521, loss: 0.0732 2023-02-25 20:29:06,963 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 7:00:42, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0560, aux.loss_ce: 0.0255, aux.acc_seg: 97.3845, loss: 0.0714 2023-02-25 20:30:06,480 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 6:59:45, time: 1.190, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0050, aux.loss_ce: 0.0259, aux.acc_seg: 97.3494, loss: 0.0733 2023-02-25 20:31:02,866 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 6:58:47, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0959, aux.loss_ce: 0.0247, aux.acc_seg: 97.4761, loss: 0.0698 2023-02-25 20:31:59,303 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 6:57:49, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.1195, aux.loss_ce: 0.0256, aux.acc_seg: 97.3899, loss: 0.0707 2023-02-25 20:32:55,705 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 6:56:51, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.0979, aux.loss_ce: 0.0253, aux.acc_seg: 97.3968, loss: 0.0701 2023-02-25 20:33:55,860 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 6:55:54, time: 1.203, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0643, aux.loss_ce: 0.0258, aux.acc_seg: 97.3749, loss: 0.0718 2023-02-25 20:34:52,188 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 6:54:56, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0478, aux.loss_ce: 0.0262, aux.acc_seg: 97.3161, loss: 0.0727 2023-02-25 20:35:48,956 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 6:53:58, time: 1.135, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0306, aux.loss_ce: 0.0256, aux.acc_seg: 97.3639, loss: 0.0721 2023-02-25 20:36:45,298 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 6:53:00, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0258, aux.loss_ce: 0.0261, aux.acc_seg: 97.3213, loss: 0.0731 2023-02-25 20:37:44,382 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 6:52:02, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1466, aux.loss_ce: 0.0249, aux.acc_seg: 97.4634, loss: 0.0693 2023-02-25 20:38:40,787 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 6:51:04, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0859, aux.loss_ce: 0.0248, aux.acc_seg: 97.4319, loss: 0.0698 2023-02-25 20:39:37,163 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 6:50:06, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0327, aux.loss_ce: 0.0255, aux.acc_seg: 97.4058, loss: 0.0722 2023-02-25 20:40:34,300 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 6:49:08, time: 1.143, data_time: 0.028, memory: 27881, decode.loss_ce: 0.0484, decode.acc_seg: 97.9680, aux.loss_ce: 0.0259, aux.acc_seg: 97.3507, loss: 0.0743 2023-02-25 20:41:33,663 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 6:48:11, time: 1.187, data_time: 0.072, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9531, aux.loss_ce: 0.0275, aux.acc_seg: 97.1724, loss: 0.0757 2023-02-25 20:42:30,004 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 6:47:13, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.1020, aux.loss_ce: 0.0250, aux.acc_seg: 97.4612, loss: 0.0704 2023-02-25 20:43:26,368 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 6:46:15, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0632, aux.loss_ce: 0.0251, aux.acc_seg: 97.4567, loss: 0.0711 2023-02-25 20:44:25,480 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 6:45:17, time: 1.182, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0270, aux.loss_ce: 0.0264, aux.acc_seg: 97.3247, loss: 0.0738 2023-02-25 20:45:21,763 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:45:21,763 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 6:44:19, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0586, aux.loss_ce: 0.0263, aux.acc_seg: 97.3066, loss: 0.0723 2023-02-25 20:46:18,106 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 6:43:21, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1236, aux.loss_ce: 0.0250, aux.acc_seg: 97.4533, loss: 0.0697 2023-02-25 20:47:14,423 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 6:42:23, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0850, aux.loss_ce: 0.0256, aux.acc_seg: 97.3839, loss: 0.0711 2023-02-25 20:48:13,540 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 6:41:26, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0446, aux.loss_ce: 0.0253, aux.acc_seg: 97.4154, loss: 0.0717 2023-02-25 20:49:09,959 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 6:40:28, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0850, aux.loss_ce: 0.0250, aux.acc_seg: 97.4339, loss: 0.0703 2023-02-25 20:50:06,419 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 6:39:30, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.1029, aux.loss_ce: 0.0254, aux.acc_seg: 97.4170, loss: 0.0706 2023-02-25 20:51:02,863 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 6:38:32, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0615, aux.loss_ce: 0.0254, aux.acc_seg: 97.4074, loss: 0.0716 2023-02-25 20:52:01,972 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 6:37:34, time: 1.182, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0325, aux.loss_ce: 0.0256, aux.acc_seg: 97.4059, loss: 0.0724 2023-02-25 20:52:58,419 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 6:36:36, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0354, aux.loss_ce: 0.0254, aux.acc_seg: 97.3911, loss: 0.0720 2023-02-25 20:53:54,829 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 6:35:38, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1406, aux.loss_ce: 0.0248, aux.acc_seg: 97.4750, loss: 0.0694 2023-02-25 20:54:51,270 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 6:34:41, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0483, decode.acc_seg: 97.9874, aux.loss_ce: 0.0258, aux.acc_seg: 97.3734, loss: 0.0741 2023-02-25 20:55:50,470 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 6:33:43, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0259, aux.loss_ce: 0.0254, aux.acc_seg: 97.4138, loss: 0.0725 2023-02-25 20:56:46,888 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 6:32:45, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1511, aux.loss_ce: 0.0246, aux.acc_seg: 97.4809, loss: 0.0685 2023-02-25 20:57:43,305 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 6:31:47, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0368, aux.loss_ce: 0.0257, aux.acc_seg: 97.3615, loss: 0.0721 2023-02-25 20:58:42,443 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 6:30:50, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9932, aux.loss_ce: 0.0260, aux.acc_seg: 97.3316, loss: 0.0738 2023-02-25 20:59:39,309 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 6:29:52, time: 1.137, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9545, aux.loss_ce: 0.0259, aux.acc_seg: 97.3596, loss: 0.0744 2023-02-25 21:00:35,719 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 6:28:54, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1143, aux.loss_ce: 0.0249, aux.acc_seg: 97.4397, loss: 0.0697 2023-02-25 21:01:32,127 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 6:27:56, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0404, aux.loss_ce: 0.0256, aux.acc_seg: 97.3546, loss: 0.0720 2023-02-25 21:02:31,250 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 6:26:58, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9971, aux.loss_ce: 0.0264, aux.acc_seg: 97.3101, loss: 0.0742 2023-02-25 21:03:27,644 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 6:26:00, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0287, aux.loss_ce: 0.0255, aux.acc_seg: 97.4065, loss: 0.0726 2023-02-25 21:04:24,298 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:04:24,300 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 6:25:02, time: 1.133, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0305, aux.loss_ce: 0.0256, aux.acc_seg: 97.3802, loss: 0.0726 2023-02-25 21:05:20,739 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 6:24:04, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0184, aux.loss_ce: 0.0265, aux.acc_seg: 97.2867, loss: 0.0737 2023-02-25 21:06:20,568 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 6:23:07, time: 1.197, data_time: 0.078, memory: 27881, decode.loss_ce: 0.0435, decode.acc_seg: 98.1518, aux.loss_ce: 0.0245, aux.acc_seg: 97.4650, loss: 0.0680 2023-02-25 21:07:16,879 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 6:22:09, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0438, decode.acc_seg: 98.1565, aux.loss_ce: 0.0251, aux.acc_seg: 97.4345, loss: 0.0688 2023-02-25 21:08:13,265 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 6:21:11, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0825, aux.loss_ce: 0.0256, aux.acc_seg: 97.3795, loss: 0.0712 2023-02-25 21:09:12,336 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 6:20:13, time: 1.181, data_time: 0.064, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0528, aux.loss_ce: 0.0255, aux.acc_seg: 97.3770, loss: 0.0717 2023-02-25 21:10:09,256 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 6:19:16, time: 1.138, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9808, aux.loss_ce: 0.0259, aux.acc_seg: 97.3460, loss: 0.0739 2023-02-25 21:11:05,625 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 6:18:18, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0696, aux.loss_ce: 0.0245, aux.acc_seg: 97.4867, loss: 0.0701 2023-02-25 21:12:02,066 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 6:17:20, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 98.0109, aux.loss_ce: 0.0257, aux.acc_seg: 97.3861, loss: 0.0734 2023-02-25 21:13:01,202 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 6:16:22, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0571, aux.loss_ce: 0.0260, aux.acc_seg: 97.3300, loss: 0.0719 2023-02-25 21:13:57,566 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 6:15:24, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0141, aux.loss_ce: 0.0260, aux.acc_seg: 97.3318, loss: 0.0730 2023-02-25 21:14:54,316 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 6:14:26, time: 1.135, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0505, aux.loss_ce: 0.0260, aux.acc_seg: 97.3264, loss: 0.0722 2023-02-25 21:15:50,647 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 6:13:28, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0494, decode.acc_seg: 97.9262, aux.loss_ce: 0.0265, aux.acc_seg: 97.2839, loss: 0.0759 2023-02-25 21:16:49,855 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 6:12:31, time: 1.184, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0429, aux.loss_ce: 0.0254, aux.acc_seg: 97.3955, loss: 0.0718 2023-02-25 21:17:46,220 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 6:11:33, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0826, aux.loss_ce: 0.0250, aux.acc_seg: 97.4439, loss: 0.0705 2023-02-25 21:18:42,561 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 6:10:35, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9993, aux.loss_ce: 0.0260, aux.acc_seg: 97.3390, loss: 0.0736 2023-02-25 21:19:39,355 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 6:09:37, time: 1.136, data_time: 0.020, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0143, aux.loss_ce: 0.0266, aux.acc_seg: 97.2917, loss: 0.0741 2023-02-25 21:20:38,405 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 6:08:39, time: 1.181, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0914, aux.loss_ce: 0.0252, aux.acc_seg: 97.4283, loss: 0.0709 2023-02-25 21:21:34,747 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 6:07:41, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0513, aux.loss_ce: 0.0256, aux.acc_seg: 97.3723, loss: 0.0719 2023-02-25 21:22:31,100 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 6:06:43, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0946, aux.loss_ce: 0.0254, aux.acc_seg: 97.3925, loss: 0.0707 2023-02-25 21:23:30,316 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:23:30,317 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 6:05:46, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0944, aux.loss_ce: 0.0247, aux.acc_seg: 97.4592, loss: 0.0698 2023-02-25 21:24:26,686 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 6:04:48, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0960, aux.loss_ce: 0.0257, aux.acc_seg: 97.3689, loss: 0.0710 2023-02-25 21:25:23,135 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 6:03:50, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0693, aux.loss_ce: 0.0251, aux.acc_seg: 97.4262, loss: 0.0710 2023-02-25 21:26:19,484 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 6:02:52, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0538, aux.loss_ce: 0.0253, aux.acc_seg: 97.4015, loss: 0.0712 2023-02-25 21:27:18,671 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 6:01:55, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0594, aux.loss_ce: 0.0254, aux.acc_seg: 97.4161, loss: 0.0716 2023-02-25 21:28:14,998 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 6:00:57, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9762, aux.loss_ce: 0.0256, aux.acc_seg: 97.3571, loss: 0.0732 2023-02-25 21:29:11,313 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 5:59:59, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0510, aux.loss_ce: 0.0254, aux.acc_seg: 97.3904, loss: 0.0716 2023-02-25 21:30:07,643 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 5:59:01, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0689, aux.loss_ce: 0.0250, aux.acc_seg: 97.4449, loss: 0.0709 2023-02-25 21:31:06,964 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 5:58:03, time: 1.186, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0470, aux.loss_ce: 0.0255, aux.acc_seg: 97.3907, loss: 0.0723 2023-02-25 21:32:03,260 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 5:57:05, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0527, aux.loss_ce: 0.0256, aux.acc_seg: 97.3739, loss: 0.0717 2023-02-25 21:32:59,568 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 5:56:07, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0745, aux.loss_ce: 0.0256, aux.acc_seg: 97.3925, loss: 0.0712 2023-02-25 21:33:58,620 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 5:55:10, time: 1.181, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0168, aux.loss_ce: 0.0254, aux.acc_seg: 97.3905, loss: 0.0725 2023-02-25 21:34:54,963 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 5:54:12, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0784, aux.loss_ce: 0.0255, aux.acc_seg: 97.3818, loss: 0.0714 2023-02-25 21:35:51,297 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 5:53:14, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0620, aux.loss_ce: 0.0251, aux.acc_seg: 97.4089, loss: 0.0708 2023-02-25 21:36:47,579 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 5:52:16, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0751, aux.loss_ce: 0.0248, aux.acc_seg: 97.4493, loss: 0.0700 2023-02-25 21:37:46,998 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 5:51:18, time: 1.188, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0232, aux.loss_ce: 0.0253, aux.acc_seg: 97.4132, loss: 0.0721 2023-02-25 21:38:43,382 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 5:50:20, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0638, aux.loss_ce: 0.0258, aux.acc_seg: 97.3677, loss: 0.0718 2023-02-25 21:39:39,765 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 5:49:23, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0623, aux.loss_ce: 0.0252, aux.acc_seg: 97.4289, loss: 0.0713 2023-02-25 21:40:36,068 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 5:48:25, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1250, aux.loss_ce: 0.0246, aux.acc_seg: 97.4702, loss: 0.0689 2023-02-25 21:41:35,184 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 5:47:27, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0177, aux.loss_ce: 0.0261, aux.acc_seg: 97.3268, loss: 0.0734 2023-02-25 21:42:31,582 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:42:31,583 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 5:46:29, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0798, aux.loss_ce: 0.0244, aux.acc_seg: 97.5012, loss: 0.0699 2023-02-25 21:43:28,140 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 5:45:31, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0608, aux.loss_ce: 0.0255, aux.acc_seg: 97.3947, loss: 0.0718 2023-02-25 21:44:24,557 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 5:44:33, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0803, aux.loss_ce: 0.0249, aux.acc_seg: 97.4382, loss: 0.0703 2023-02-25 21:45:23,639 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 5:43:36, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9776, aux.loss_ce: 0.0267, aux.acc_seg: 97.2699, loss: 0.0749 2023-02-25 21:46:19,978 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 5:42:38, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0398, aux.loss_ce: 0.0257, aux.acc_seg: 97.3663, loss: 0.0723 2023-02-25 21:47:16,302 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 5:41:40, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0906, aux.loss_ce: 0.0260, aux.acc_seg: 97.3520, loss: 0.0714 2023-02-25 21:48:15,440 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 5:40:42, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0843, aux.loss_ce: 0.0251, aux.acc_seg: 97.4346, loss: 0.0706 2023-02-25 21:49:11,796 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 5:39:44, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0192, aux.loss_ce: 0.0250, aux.acc_seg: 97.4137, loss: 0.0717 2023-02-25 21:50:08,170 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 5:38:46, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1103, aux.loss_ce: 0.0243, aux.acc_seg: 97.4948, loss: 0.0691 2023-02-25 21:51:04,870 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 5:37:49, time: 1.134, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0201, aux.loss_ce: 0.0255, aux.acc_seg: 97.3862, loss: 0.0724 2023-02-25 21:52:04,055 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 5:36:51, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0315, aux.loss_ce: 0.0263, aux.acc_seg: 97.3270, loss: 0.0734 2023-02-25 21:53:00,519 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 5:35:53, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0315, aux.loss_ce: 0.0259, aux.acc_seg: 97.3442, loss: 0.0726 2023-02-25 21:53:56,984 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 5:34:55, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1038, aux.loss_ce: 0.0252, aux.acc_seg: 97.4201, loss: 0.0702 2023-02-25 21:54:53,408 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 5:33:57, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0155, aux.loss_ce: 0.0258, aux.acc_seg: 97.3371, loss: 0.0728 2023-02-25 21:55:52,605 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 5:33:00, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0106, aux.loss_ce: 0.0257, aux.acc_seg: 97.3906, loss: 0.0735 2023-02-25 21:56:49,332 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 5:32:02, time: 1.135, data_time: 0.021, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0800, aux.loss_ce: 0.0252, aux.acc_seg: 97.3971, loss: 0.0704 2023-02-25 21:57:45,636 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 5:31:04, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0526, aux.loss_ce: 0.0253, aux.acc_seg: 97.3926, loss: 0.0714 2023-02-25 21:58:44,780 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 5:30:06, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0030, aux.loss_ce: 0.0257, aux.acc_seg: 97.3542, loss: 0.0728 2023-02-25 21:59:41,133 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 5:29:08, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0740, aux.loss_ce: 0.0253, aux.acc_seg: 97.4065, loss: 0.0707 2023-02-25 22:00:37,479 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 5:28:11, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0658, aux.loss_ce: 0.0254, aux.acc_seg: 97.3995, loss: 0.0714 2023-02-25 22:01:33,826 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:01:33,827 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 5:27:13, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0745, aux.loss_ce: 0.0257, aux.acc_seg: 97.3878, loss: 0.0716 2023-02-25 22:02:32,993 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 5:26:15, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0735, aux.loss_ce: 0.0249, aux.acc_seg: 97.4556, loss: 0.0706 2023-02-25 22:03:29,749 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 5:25:17, time: 1.135, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0356, aux.loss_ce: 0.0254, aux.acc_seg: 97.4178, loss: 0.0722 2023-02-25 22:04:26,190 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 5:24:19, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0853, aux.loss_ce: 0.0249, aux.acc_seg: 97.4352, loss: 0.0703 2023-02-25 22:05:22,566 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 5:23:21, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0984, aux.loss_ce: 0.0255, aux.acc_seg: 97.3851, loss: 0.0708 2023-02-25 22:06:22,454 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 5:22:24, time: 1.198, data_time: 0.080, memory: 27881, decode.loss_ce: 0.0440, decode.acc_seg: 98.1194, aux.loss_ce: 0.0235, aux.acc_seg: 97.5518, loss: 0.0675 2023-02-25 22:07:18,877 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 5:21:26, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0808, aux.loss_ce: 0.0253, aux.acc_seg: 97.4205, loss: 0.0709 2023-02-25 22:08:15,300 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 5:20:28, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1253, aux.loss_ce: 0.0252, aux.acc_seg: 97.4212, loss: 0.0697 2023-02-25 22:09:11,730 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 5:19:30, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0611, aux.loss_ce: 0.0256, aux.acc_seg: 97.3715, loss: 0.0717 2023-02-25 22:10:10,883 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 5:18:33, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0477, decode.acc_seg: 97.9861, aux.loss_ce: 0.0253, aux.acc_seg: 97.4268, loss: 0.0730 2023-02-25 22:11:07,267 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 5:17:35, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0955, aux.loss_ce: 0.0250, aux.acc_seg: 97.4273, loss: 0.0701 2023-02-25 22:12:03,669 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 5:16:37, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1117, aux.loss_ce: 0.0253, aux.acc_seg: 97.4135, loss: 0.0703 2023-02-25 22:13:03,129 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 5:15:39, time: 1.189, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0602, aux.loss_ce: 0.0253, aux.acc_seg: 97.3895, loss: 0.0712 2023-02-25 22:13:59,709 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 5:14:41, time: 1.132, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9498, aux.loss_ce: 0.0260, aux.acc_seg: 97.3223, loss: 0.0741 2023-02-25 22:14:56,067 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 5:13:43, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0340, aux.loss_ce: 0.0253, aux.acc_seg: 97.4226, loss: 0.0721 2023-02-25 22:15:52,387 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 5:12:46, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0781, aux.loss_ce: 0.0254, aux.acc_seg: 97.4077, loss: 0.0710 2023-02-25 22:16:51,719 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 5:11:48, time: 1.187, data_time: 0.073, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0897, aux.loss_ce: 0.0250, aux.acc_seg: 97.4466, loss: 0.0707 2023-02-25 22:17:48,104 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 5:10:50, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0541, aux.loss_ce: 0.0259, aux.acc_seg: 97.3435, loss: 0.0720 2023-02-25 22:18:45,057 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 5:09:52, time: 1.139, data_time: 0.023, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1080, aux.loss_ce: 0.0250, aux.acc_seg: 97.4171, loss: 0.0699 2023-02-25 22:19:41,380 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 5:08:54, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0976, aux.loss_ce: 0.0252, aux.acc_seg: 97.4229, loss: 0.0705 2023-02-25 22:20:40,499 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-02-25 22:20:43,768 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:20:43,772 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 5:07:57, time: 1.248, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1479, aux.loss_ce: 0.0244, aux.acc_seg: 97.5037, loss: 0.0683 2023-02-25 22:21:53,899 - mmseg - INFO - per class results: 2023-02-25 22:21:53,914 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.52 | 99.24 | | sidewalk | 87.49 | 93.74 | | building | 93.66 | 97.22 | | wall | 60.42 | 66.49 | | fence | 68.16 | 74.52 | | pole | 71.73 | 82.44 | | traffic light | 76.27 | 86.54 | | traffic sign | 84.12 | 90.16 | | vegetation | 93.3 | 96.87 | | terrain | 66.85 | 74.5 | | sky | 95.38 | 98.57 | | person | 85.71 | 93.34 | | rider | 68.7 | 80.29 | | car | 96.12 | 98.25 | | truck | 84.68 | 88.1 | | bus | 92.08 | 94.98 | | train | 85.63 | 89.07 | | motorcycle | 73.02 | 83.55 | | bicycle | 81.89 | 91.44 | +---------------+-------+-------+ 2023-02-25 22:21:53,914 - mmseg - INFO - Summary: 2023-02-25 22:21:53,914 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 96.77 | 82.3 | 88.38 | +-------+------+-------+ 2023-02-25 22:21:53,915 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:21:53,915 - mmseg - INFO - Iter(val) [125] aAcc: 0.9677, mIoU: 0.8230, mAcc: 0.8838, IoU.road: 0.9852, IoU.sidewalk: 0.8749, IoU.building: 0.9366, IoU.wall: 0.6042, IoU.fence: 0.6816, IoU.pole: 0.7173, IoU.traffic light: 0.7627, IoU.traffic sign: 0.8412, IoU.vegetation: 0.9330, IoU.terrain: 0.6685, IoU.sky: 0.9538, IoU.person: 0.8571, IoU.rider: 0.6870, IoU.car: 0.9612, IoU.truck: 0.8468, IoU.bus: 0.9208, IoU.train: 0.8563, IoU.motorcycle: 0.7302, IoU.bicycle: 0.8189, Acc.road: 0.9924, Acc.sidewalk: 0.9374, Acc.building: 0.9722, Acc.wall: 0.6649, Acc.fence: 0.7452, Acc.pole: 0.8244, Acc.traffic light: 0.8654, Acc.traffic sign: 0.9016, Acc.vegetation: 0.9687, Acc.terrain: 0.7450, Acc.sky: 0.9857, Acc.person: 0.9334, Acc.rider: 0.8029, Acc.car: 0.9825, Acc.truck: 0.8810, Acc.bus: 0.9498, Acc.train: 0.8907, Acc.motorcycle: 0.8355, Acc.bicycle: 0.9144 2023-02-25 22:22:50,357 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 5:07:07, time: 2.532, data_time: 1.414, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1000, aux.loss_ce: 0.0253, aux.acc_seg: 97.4105, loss: 0.0703 2023-02-25 22:23:46,855 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 5:06:09, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0047, aux.loss_ce: 0.0257, aux.acc_seg: 97.3841, loss: 0.0732 2023-02-25 22:24:43,348 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 5:05:11, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0364, aux.loss_ce: 0.0256, aux.acc_seg: 97.3764, loss: 0.0722 2023-02-25 22:25:43,008 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 5:04:14, time: 1.193, data_time: 0.075, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9925, aux.loss_ce: 0.0266, aux.acc_seg: 97.2891, loss: 0.0746 2023-02-25 22:26:39,577 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 5:03:16, time: 1.131, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1494, aux.loss_ce: 0.0252, aux.acc_seg: 97.4382, loss: 0.0695 2023-02-25 22:27:36,006 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 5:02:18, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0670, aux.loss_ce: 0.0249, aux.acc_seg: 97.4244, loss: 0.0705 2023-02-25 22:28:35,190 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 5:01:20, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0016, aux.loss_ce: 0.0260, aux.acc_seg: 97.3294, loss: 0.0734 2023-02-25 22:29:31,512 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 5:00:22, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9763, aux.loss_ce: 0.0259, aux.acc_seg: 97.3590, loss: 0.0737 2023-02-25 22:30:27,892 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 4:59:24, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1277, aux.loss_ce: 0.0245, aux.acc_seg: 97.4751, loss: 0.0689 2023-02-25 22:31:24,234 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 4:58:26, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1341, aux.loss_ce: 0.0249, aux.acc_seg: 97.4580, loss: 0.0694 2023-02-25 22:32:23,371 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 4:57:29, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1128, aux.loss_ce: 0.0249, aux.acc_seg: 97.4381, loss: 0.0697 2023-02-25 22:33:19,977 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 4:56:31, time: 1.132, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0613, aux.loss_ce: 0.0251, aux.acc_seg: 97.4347, loss: 0.0711 2023-02-25 22:34:16,366 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 4:55:33, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0805, aux.loss_ce: 0.0257, aux.acc_seg: 97.3693, loss: 0.0711 2023-02-25 22:35:12,837 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 4:54:35, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0889, aux.loss_ce: 0.0252, aux.acc_seg: 97.4141, loss: 0.0704 2023-02-25 22:36:12,032 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 4:53:38, time: 1.184, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.1004, aux.loss_ce: 0.0252, aux.acc_seg: 97.4131, loss: 0.0703 2023-02-25 22:37:08,389 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 4:52:40, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0690, aux.loss_ce: 0.0249, aux.acc_seg: 97.4220, loss: 0.0704 2023-02-25 22:38:04,987 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 4:51:42, time: 1.132, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0308, aux.loss_ce: 0.0256, aux.acc_seg: 97.3725, loss: 0.0723 2023-02-25 22:39:04,066 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 4:50:44, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0894, aux.loss_ce: 0.0257, aux.acc_seg: 97.3628, loss: 0.0710 2023-02-25 22:40:00,453 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 4:49:46, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1298, aux.loss_ce: 0.0243, aux.acc_seg: 97.5159, loss: 0.0688 2023-02-25 22:40:56,959 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:40:56,959 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 4:48:48, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0907, aux.loss_ce: 0.0249, aux.acc_seg: 97.4302, loss: 0.0700 2023-02-25 22:41:53,300 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 4:47:50, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0914, aux.loss_ce: 0.0253, aux.acc_seg: 97.4088, loss: 0.0707 2023-02-25 22:42:52,795 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 4:46:53, time: 1.190, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0680, aux.loss_ce: 0.0249, aux.acc_seg: 97.4461, loss: 0.0705 2023-02-25 22:43:49,164 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 4:45:55, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0548, aux.loss_ce: 0.0252, aux.acc_seg: 97.4052, loss: 0.0714 2023-02-25 22:44:45,501 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 4:44:57, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0383, aux.loss_ce: 0.0264, aux.acc_seg: 97.3040, loss: 0.0727 2023-02-25 22:45:41,805 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 4:43:59, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0716, aux.loss_ce: 0.0252, aux.acc_seg: 97.4204, loss: 0.0710 2023-02-25 22:46:40,872 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 4:43:01, time: 1.181, data_time: 0.064, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0004, aux.loss_ce: 0.0252, aux.acc_seg: 97.4432, loss: 0.0730 2023-02-25 22:47:37,147 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 4:42:04, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1307, aux.loss_ce: 0.0253, aux.acc_seg: 97.4154, loss: 0.0700 2023-02-25 22:48:33,471 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 4:41:06, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0600, aux.loss_ce: 0.0260, aux.acc_seg: 97.3668, loss: 0.0723 2023-02-25 22:49:29,946 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 4:40:08, time: 1.129, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1061, aux.loss_ce: 0.0250, aux.acc_seg: 97.4039, loss: 0.0695 2023-02-25 22:50:29,117 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 4:39:10, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0864, aux.loss_ce: 0.0251, aux.acc_seg: 97.4202, loss: 0.0704 2023-02-25 22:51:25,568 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 4:38:12, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0543, aux.loss_ce: 0.0250, aux.acc_seg: 97.4549, loss: 0.0713 2023-02-25 22:52:22,022 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 4:37:14, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0944, aux.loss_ce: 0.0253, aux.acc_seg: 97.4000, loss: 0.0703 2023-02-25 22:53:21,165 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 4:36:17, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0985, aux.loss_ce: 0.0250, aux.acc_seg: 97.4300, loss: 0.0701 2023-02-25 22:54:17,653 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 4:35:19, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0989, aux.loss_ce: 0.0250, aux.acc_seg: 97.4515, loss: 0.0700 2023-02-25 22:55:14,047 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 4:34:21, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.0998, aux.loss_ce: 0.0255, aux.acc_seg: 97.3813, loss: 0.0705 2023-02-25 22:56:10,374 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 4:33:23, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0793, aux.loss_ce: 0.0252, aux.acc_seg: 97.4015, loss: 0.0706 2023-02-25 22:57:09,460 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 4:32:25, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0801, aux.loss_ce: 0.0254, aux.acc_seg: 97.3967, loss: 0.0708 2023-02-25 22:58:05,783 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 4:31:28, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0920, aux.loss_ce: 0.0258, aux.acc_seg: 97.4223, loss: 0.0714 2023-02-25 22:59:02,086 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 4:30:30, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0614, aux.loss_ce: 0.0250, aux.acc_seg: 97.4227, loss: 0.0709 2023-02-25 22:59:58,440 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:59:58,441 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 4:29:32, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0632, aux.loss_ce: 0.0256, aux.acc_seg: 97.3661, loss: 0.0715 2023-02-25 23:00:57,992 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 4:28:34, time: 1.191, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1336, aux.loss_ce: 0.0250, aux.acc_seg: 97.4578, loss: 0.0695 2023-02-25 23:01:54,343 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 4:27:36, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0769, aux.loss_ce: 0.0252, aux.acc_seg: 97.4170, loss: 0.0710 2023-02-25 23:02:50,692 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 4:26:38, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0641, aux.loss_ce: 0.0252, aux.acc_seg: 97.4007, loss: 0.0708 2023-02-25 23:03:49,853 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 4:25:41, time: 1.183, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1269, aux.loss_ce: 0.0244, aux.acc_seg: 97.4800, loss: 0.0687 2023-02-25 23:04:46,298 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 4:24:43, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1058, aux.loss_ce: 0.0250, aux.acc_seg: 97.4357, loss: 0.0700 2023-02-25 23:05:42,676 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 4:23:45, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0106, aux.loss_ce: 0.0258, aux.acc_seg: 97.3482, loss: 0.0730 2023-02-25 23:06:39,096 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 4:22:47, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0660, aux.loss_ce: 0.0253, aux.acc_seg: 97.4169, loss: 0.0714 2023-02-25 23:07:38,213 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 4:21:49, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1266, aux.loss_ce: 0.0255, aux.acc_seg: 97.3924, loss: 0.0700 2023-02-25 23:08:34,638 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 4:20:52, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0837, aux.loss_ce: 0.0252, aux.acc_seg: 97.4166, loss: 0.0706 2023-02-25 23:09:31,098 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 4:19:54, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1011, aux.loss_ce: 0.0249, aux.acc_seg: 97.4496, loss: 0.0699 2023-02-25 23:10:27,578 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 4:18:56, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0672, aux.loss_ce: 0.0248, aux.acc_seg: 97.4454, loss: 0.0708 2023-02-25 23:11:26,726 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 4:17:58, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0493, aux.loss_ce: 0.0253, aux.acc_seg: 97.4080, loss: 0.0717 2023-02-25 23:12:23,077 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 4:17:00, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9392, aux.loss_ce: 0.0261, aux.acc_seg: 97.3124, loss: 0.0749 2023-02-25 23:13:19,432 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 4:16:02, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0437, decode.acc_seg: 98.1647, aux.loss_ce: 0.0244, aux.acc_seg: 97.5110, loss: 0.0681 2023-02-25 23:14:15,802 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 4:15:05, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0397, aux.loss_ce: 0.0257, aux.acc_seg: 97.3836, loss: 0.0725 2023-02-25 23:15:15,032 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 4:14:07, time: 1.185, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0482, decode.acc_seg: 97.9589, aux.loss_ce: 0.0263, aux.acc_seg: 97.2960, loss: 0.0744 2023-02-25 23:16:11,361 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 4:13:09, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1285, aux.loss_ce: 0.0247, aux.acc_seg: 97.4695, loss: 0.0690 2023-02-25 23:17:07,709 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 4:12:11, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0727, aux.loss_ce: 0.0249, aux.acc_seg: 97.4514, loss: 0.0707 2023-02-25 23:18:06,882 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 4:11:14, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0948, aux.loss_ce: 0.0260, aux.acc_seg: 97.3379, loss: 0.0715 2023-02-25 23:19:03,251 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:19:03,251 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 4:10:16, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.1063, aux.loss_ce: 0.0248, aux.acc_seg: 97.4778, loss: 0.0699 2023-02-25 23:19:59,627 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 4:09:18, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0277, aux.loss_ce: 0.0254, aux.acc_seg: 97.4079, loss: 0.0722 2023-02-25 23:20:55,948 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 4:08:20, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0440, decode.acc_seg: 98.1349, aux.loss_ce: 0.0255, aux.acc_seg: 97.3944, loss: 0.0694 2023-02-25 23:21:55,201 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 4:07:22, time: 1.185, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0441, decode.acc_seg: 98.1362, aux.loss_ce: 0.0258, aux.acc_seg: 97.3555, loss: 0.0700 2023-02-25 23:22:51,561 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 4:06:24, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1191, aux.loss_ce: 0.0247, aux.acc_seg: 97.4839, loss: 0.0695 2023-02-25 23:23:47,904 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 4:05:27, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0735, aux.loss_ce: 0.0252, aux.acc_seg: 97.4235, loss: 0.0709 2023-02-25 23:24:44,268 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 4:04:29, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0366, aux.loss_ce: 0.0251, aux.acc_seg: 97.4270, loss: 0.0718 2023-02-25 23:25:43,427 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 4:03:31, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0320, aux.loss_ce: 0.0251, aux.acc_seg: 97.4129, loss: 0.0717 2023-02-25 23:26:39,952 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 4:02:33, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1094, aux.loss_ce: 0.0247, aux.acc_seg: 97.4442, loss: 0.0692 2023-02-25 23:27:36,427 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 4:01:35, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0391, aux.loss_ce: 0.0258, aux.acc_seg: 97.3528, loss: 0.0722 2023-02-25 23:28:35,639 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 4:00:38, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0137, aux.loss_ce: 0.0256, aux.acc_seg: 97.3789, loss: 0.0727 2023-02-25 23:29:32,076 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 3:59:40, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0299, aux.loss_ce: 0.0259, aux.acc_seg: 97.3658, loss: 0.0728 2023-02-25 23:30:28,592 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 3:58:42, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0391, aux.loss_ce: 0.0251, aux.acc_seg: 97.4377, loss: 0.0716 2023-02-25 23:31:25,088 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 3:57:44, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0929, aux.loss_ce: 0.0251, aux.acc_seg: 97.4135, loss: 0.0703 2023-02-25 23:32:24,288 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 3:56:46, time: 1.184, data_time: 0.064, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0093, aux.loss_ce: 0.0255, aux.acc_seg: 97.3827, loss: 0.0728 2023-02-25 23:33:20,692 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 3:55:49, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0953, aux.loss_ce: 0.0254, aux.acc_seg: 97.4053, loss: 0.0707 2023-02-25 23:34:17,041 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 3:54:51, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0428, decode.acc_seg: 98.1935, aux.loss_ce: 0.0251, aux.acc_seg: 97.4294, loss: 0.0679 2023-02-25 23:35:13,466 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 3:53:53, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0954, aux.loss_ce: 0.0248, aux.acc_seg: 97.4682, loss: 0.0705 2023-02-25 23:36:13,226 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 3:52:55, time: 1.195, data_time: 0.079, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0615, aux.loss_ce: 0.0252, aux.acc_seg: 97.4280, loss: 0.0714 2023-02-25 23:37:09,674 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 3:51:57, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0963, aux.loss_ce: 0.0254, aux.acc_seg: 97.4004, loss: 0.0707 2023-02-25 23:38:06,166 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:38:06,166 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 3:51:00, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0439, aux.loss_ce: 0.0258, aux.acc_seg: 97.3645, loss: 0.0725 2023-02-25 23:39:02,549 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 3:50:02, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0726, aux.loss_ce: 0.0250, aux.acc_seg: 97.4378, loss: 0.0708 2023-02-25 23:40:01,787 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 3:49:04, time: 1.185, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0299, aux.loss_ce: 0.0251, aux.acc_seg: 97.4190, loss: 0.0719 2023-02-25 23:40:58,198 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 3:48:06, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0864, aux.loss_ce: 0.0250, aux.acc_seg: 97.4327, loss: 0.0704 2023-02-25 23:41:54,546 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 3:47:08, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0628, aux.loss_ce: 0.0254, aux.acc_seg: 97.4052, loss: 0.0716 2023-02-25 23:42:54,837 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 3:46:11, time: 1.206, data_time: 0.091, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9927, aux.loss_ce: 0.0260, aux.acc_seg: 97.3501, loss: 0.0739 2023-02-25 23:43:51,234 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 3:45:13, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1253, aux.loss_ce: 0.0252, aux.acc_seg: 97.4133, loss: 0.0697 2023-02-25 23:44:47,552 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 3:44:15, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1494, aux.loss_ce: 0.0244, aux.acc_seg: 97.5000, loss: 0.0683 2023-02-25 23:45:43,965 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 3:43:17, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0594, aux.loss_ce: 0.0249, aux.acc_seg: 97.4391, loss: 0.0709 2023-02-25 23:46:43,094 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 3:42:20, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0170, aux.loss_ce: 0.0260, aux.acc_seg: 97.3398, loss: 0.0731 2023-02-25 23:47:39,441 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 3:41:22, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0014, aux.loss_ce: 0.0253, aux.acc_seg: 97.4214, loss: 0.0728 2023-02-25 23:48:35,844 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 3:40:24, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.1019, aux.loss_ce: 0.0258, aux.acc_seg: 97.3553, loss: 0.0709 2023-02-25 23:49:32,327 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 3:39:26, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0911, aux.loss_ce: 0.0262, aux.acc_seg: 97.3172, loss: 0.0715 2023-02-25 23:50:31,574 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 3:38:28, time: 1.185, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0584, aux.loss_ce: 0.0256, aux.acc_seg: 97.3794, loss: 0.0717 2023-02-25 23:51:28,001 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 3:37:31, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1253, aux.loss_ce: 0.0252, aux.acc_seg: 97.4437, loss: 0.0700 2023-02-25 23:52:24,453 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 3:36:33, time: 1.129, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1117, aux.loss_ce: 0.0250, aux.acc_seg: 97.4340, loss: 0.0698 2023-02-25 23:53:21,048 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 3:35:35, time: 1.132, data_time: 0.018, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0764, aux.loss_ce: 0.0252, aux.acc_seg: 97.4231, loss: 0.0710 2023-02-25 23:54:20,247 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 3:34:37, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1225, aux.loss_ce: 0.0254, aux.acc_seg: 97.3969, loss: 0.0701 2023-02-25 23:55:16,733 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 3:33:39, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0444, aux.loss_ce: 0.0253, aux.acc_seg: 97.3876, loss: 0.0715 2023-02-25 23:56:13,283 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 3:32:42, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0836, aux.loss_ce: 0.0248, aux.acc_seg: 97.4678, loss: 0.0705 2023-02-25 23:57:12,460 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:57:12,461 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 3:31:44, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0632, aux.loss_ce: 0.0253, aux.acc_seg: 97.4228, loss: 0.0715 2023-02-25 23:58:08,849 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 3:30:46, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.1019, aux.loss_ce: 0.0249, aux.acc_seg: 97.4680, loss: 0.0702 2023-02-25 23:59:05,234 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 3:29:48, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0317, aux.loss_ce: 0.0262, aux.acc_seg: 97.3291, loss: 0.0731 2023-02-26 00:00:01,669 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 3:28:50, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0898, aux.loss_ce: 0.0247, aux.acc_seg: 97.4448, loss: 0.0697 2023-02-26 00:01:00,900 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 3:27:53, time: 1.185, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1212, aux.loss_ce: 0.0245, aux.acc_seg: 97.4745, loss: 0.0687 2023-02-26 00:01:57,286 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 3:26:55, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0411, aux.loss_ce: 0.0266, aux.acc_seg: 97.2866, loss: 0.0731 2023-02-26 00:02:53,638 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 3:25:57, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0691, aux.loss_ce: 0.0255, aux.acc_seg: 97.3932, loss: 0.0714 2023-02-26 00:03:50,051 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 3:24:59, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0480, decode.acc_seg: 97.9659, aux.loss_ce: 0.0257, aux.acc_seg: 97.3517, loss: 0.0737 2023-02-26 00:04:49,174 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 3:24:02, time: 1.182, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0135, aux.loss_ce: 0.0259, aux.acc_seg: 97.3596, loss: 0.0731 2023-02-26 00:05:45,550 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 3:23:04, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.1000, aux.loss_ce: 0.0255, aux.acc_seg: 97.4084, loss: 0.0710 2023-02-26 00:06:41,916 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 3:22:06, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0754, aux.loss_ce: 0.0259, aux.acc_seg: 97.3490, loss: 0.0713 2023-02-26 00:07:41,079 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 3:21:08, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.0974, aux.loss_ce: 0.0247, aux.acc_seg: 97.4574, loss: 0.0697 2023-02-26 00:08:37,514 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 3:20:10, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0607, aux.loss_ce: 0.0259, aux.acc_seg: 97.3471, loss: 0.0719 2023-02-26 00:09:33,869 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 3:19:13, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0519, aux.loss_ce: 0.0254, aux.acc_seg: 97.3759, loss: 0.0714 2023-02-26 00:10:30,189 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 3:18:15, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1296, aux.loss_ce: 0.0246, aux.acc_seg: 97.4830, loss: 0.0693 2023-02-26 00:11:29,314 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 3:17:17, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1215, aux.loss_ce: 0.0253, aux.acc_seg: 97.3769, loss: 0.0699 2023-02-26 00:12:25,674 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 3:16:19, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0440, decode.acc_seg: 98.1454, aux.loss_ce: 0.0248, aux.acc_seg: 97.4441, loss: 0.0688 2023-02-26 00:13:21,969 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 3:15:21, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0428, aux.loss_ce: 0.0255, aux.acc_seg: 97.3854, loss: 0.0720 2023-02-26 00:14:18,354 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 3:14:24, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0877, aux.loss_ce: 0.0249, aux.acc_seg: 97.4294, loss: 0.0701 2023-02-26 00:15:17,555 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 3:13:26, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1152, aux.loss_ce: 0.0243, aux.acc_seg: 97.5110, loss: 0.0688 2023-02-26 00:16:13,993 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 00:16:13,994 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 3:12:28, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0491, aux.loss_ce: 0.0253, aux.acc_seg: 97.4057, loss: 0.0714 2023-02-26 00:17:10,451 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 3:11:30, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1084, aux.loss_ce: 0.0246, aux.acc_seg: 97.4864, loss: 0.0696 2023-02-26 00:18:06,854 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 3:10:32, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0434, decode.acc_seg: 98.1721, aux.loss_ce: 0.0252, aux.acc_seg: 97.4242, loss: 0.0686 2023-02-26 00:19:06,054 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 3:09:35, time: 1.184, data_time: 0.069, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1164, aux.loss_ce: 0.0250, aux.acc_seg: 97.4381, loss: 0.0697 2023-02-26 00:20:02,445 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 3:08:37, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0363, aux.loss_ce: 0.0251, aux.acc_seg: 97.4245, loss: 0.0717 2023-02-26 00:20:58,760 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 3:07:39, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0605, aux.loss_ce: 0.0253, aux.acc_seg: 97.3986, loss: 0.0712 2023-02-26 00:21:57,897 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 3:06:41, time: 1.183, data_time: 0.064, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0337, aux.loss_ce: 0.0253, aux.acc_seg: 97.4043, loss: 0.0718 2023-02-26 00:22:54,324 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 3:05:44, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0437, decode.acc_seg: 98.1568, aux.loss_ce: 0.0244, aux.acc_seg: 97.5016, loss: 0.0681 2023-02-26 00:23:50,649 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 3:04:46, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1061, aux.loss_ce: 0.0242, aux.acc_seg: 97.4983, loss: 0.0689 2023-02-26 00:24:46,989 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 3:03:48, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.1024, aux.loss_ce: 0.0250, aux.acc_seg: 97.4325, loss: 0.0702 2023-02-26 00:25:46,172 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 3:02:50, time: 1.184, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0231, aux.loss_ce: 0.0253, aux.acc_seg: 97.4221, loss: 0.0727 2023-02-26 00:26:42,506 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 3:01:53, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0837, aux.loss_ce: 0.0248, aux.acc_seg: 97.4623, loss: 0.0703 2023-02-26 00:27:38,930 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 3:00:55, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 98.0222, aux.loss_ce: 0.0259, aux.acc_seg: 97.3687, loss: 0.0734 2023-02-26 00:28:35,260 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 2:59:57, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 97.9922, aux.loss_ce: 0.0258, aux.acc_seg: 97.3488, loss: 0.0733 2023-02-26 00:29:34,423 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 2:58:59, time: 1.183, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0864, aux.loss_ce: 0.0248, aux.acc_seg: 97.4673, loss: 0.0703 2023-02-26 00:30:30,832 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 2:58:01, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0100, aux.loss_ce: 0.0257, aux.acc_seg: 97.3703, loss: 0.0731 2023-02-26 00:31:27,223 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 2:57:04, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1268, aux.loss_ce: 0.0247, aux.acc_seg: 97.4673, loss: 0.0691 2023-02-26 00:32:26,259 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 2:56:06, time: 1.181, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1466, aux.loss_ce: 0.0249, aux.acc_seg: 97.4591, loss: 0.0692 2023-02-26 00:33:22,552 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 2:55:08, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1457, aux.loss_ce: 0.0245, aux.acc_seg: 97.4749, loss: 0.0684 2023-02-26 00:34:18,894 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 2:54:10, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1232, aux.loss_ce: 0.0249, aux.acc_seg: 97.4474, loss: 0.0693 2023-02-26 00:35:15,295 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 00:35:15,295 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 2:53:12, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1512, aux.loss_ce: 0.0245, aux.acc_seg: 97.4913, loss: 0.0684 2023-02-26 00:36:14,479 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 2:52:15, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0812, aux.loss_ce: 0.0248, aux.acc_seg: 97.4529, loss: 0.0701 2023-02-26 00:37:10,802 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 2:51:17, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0589, aux.loss_ce: 0.0254, aux.acc_seg: 97.3799, loss: 0.0712 2023-02-26 00:38:07,183 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 2:50:19, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0441, aux.loss_ce: 0.0260, aux.acc_seg: 97.3315, loss: 0.0722 2023-02-26 00:39:03,547 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 2:49:21, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0479, aux.loss_ce: 0.0256, aux.acc_seg: 97.3761, loss: 0.0717 2023-02-26 00:40:02,697 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 2:48:24, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1243, aux.loss_ce: 0.0251, aux.acc_seg: 97.4078, loss: 0.0693 2023-02-26 00:40:59,059 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 2:47:26, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.1006, aux.loss_ce: 0.0257, aux.acc_seg: 97.3593, loss: 0.0708 2023-02-26 00:41:55,559 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 2:46:28, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0773, aux.loss_ce: 0.0255, aux.acc_seg: 97.4092, loss: 0.0715 2023-02-26 00:42:51,984 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 2:45:30, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0429, decode.acc_seg: 98.1879, aux.loss_ce: 0.0246, aux.acc_seg: 97.4697, loss: 0.0674 2023-02-26 00:43:51,211 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 2:44:33, time: 1.185, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0263, aux.loss_ce: 0.0252, aux.acc_seg: 97.4190, loss: 0.0719 2023-02-26 00:44:47,627 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 2:43:35, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0602, aux.loss_ce: 0.0251, aux.acc_seg: 97.4188, loss: 0.0712 2023-02-26 00:45:44,003 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 2:42:37, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0699, aux.loss_ce: 0.0248, aux.acc_seg: 97.4537, loss: 0.0706 2023-02-26 00:46:43,120 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 2:41:39, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0571, aux.loss_ce: 0.0255, aux.acc_seg: 97.3786, loss: 0.0716 2023-02-26 00:47:39,465 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 2:40:41, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1155, aux.loss_ce: 0.0252, aux.acc_seg: 97.3941, loss: 0.0695 2023-02-26 00:48:35,784 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 2:39:44, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0101, aux.loss_ce: 0.0256, aux.acc_seg: 97.3791, loss: 0.0728 2023-02-26 00:49:32,115 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 2:38:46, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0569, aux.loss_ce: 0.0264, aux.acc_seg: 97.3660, loss: 0.0726 2023-02-26 00:50:31,232 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 2:37:48, time: 1.182, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1141, aux.loss_ce: 0.0249, aux.acc_seg: 97.4534, loss: 0.0696 2023-02-26 00:51:27,599 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 2:36:50, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0434, decode.acc_seg: 98.1534, aux.loss_ce: 0.0248, aux.acc_seg: 97.4393, loss: 0.0682 2023-02-26 00:52:23,983 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 2:35:53, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0436, decode.acc_seg: 98.1654, aux.loss_ce: 0.0244, aux.acc_seg: 97.4952, loss: 0.0680 2023-02-26 00:53:20,423 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 2:34:55, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0254, aux.loss_ce: 0.0259, aux.acc_seg: 97.3412, loss: 0.0724 2023-02-26 00:54:19,569 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 00:54:19,570 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 2:33:57, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0941, aux.loss_ce: 0.0259, aux.acc_seg: 97.3450, loss: 0.0712 2023-02-26 00:55:15,957 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 2:32:59, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0037, aux.loss_ce: 0.0255, aux.acc_seg: 97.3845, loss: 0.0727 2023-02-26 00:56:12,375 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 2:32:02, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0357, aux.loss_ce: 0.0254, aux.acc_seg: 97.3868, loss: 0.0717 2023-02-26 00:57:11,592 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 2:31:04, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1159, aux.loss_ce: 0.0248, aux.acc_seg: 97.4611, loss: 0.0695 2023-02-26 00:58:07,996 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 2:30:06, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0132, aux.loss_ce: 0.0253, aux.acc_seg: 97.3886, loss: 0.0722 2023-02-26 00:59:04,407 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 2:29:08, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0640, aux.loss_ce: 0.0259, aux.acc_seg: 97.3549, loss: 0.0719 2023-02-26 01:00:00,844 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 2:28:10, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0441, decode.acc_seg: 98.1560, aux.loss_ce: 0.0247, aux.acc_seg: 97.4753, loss: 0.0688 2023-02-26 01:00:59,974 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 2:27:13, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 98.0035, aux.loss_ce: 0.0258, aux.acc_seg: 97.3604, loss: 0.0736 2023-02-26 01:01:56,622 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 2:26:15, time: 1.133, data_time: 0.019, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1084, aux.loss_ce: 0.0250, aux.acc_seg: 97.4449, loss: 0.0700 2023-02-26 01:02:53,040 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 2:25:17, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0339, aux.loss_ce: 0.0256, aux.acc_seg: 97.3804, loss: 0.0724 2023-02-26 01:03:49,377 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 2:24:19, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0496, aux.loss_ce: 0.0260, aux.acc_seg: 97.3479, loss: 0.0725 2023-02-26 01:04:48,575 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 2:23:22, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0567, aux.loss_ce: 0.0255, aux.acc_seg: 97.3721, loss: 0.0714 2023-02-26 01:05:44,989 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 2:22:24, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0874, aux.loss_ce: 0.0254, aux.acc_seg: 97.4024, loss: 0.0706 2023-02-26 01:06:41,308 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 2:21:26, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1423, aux.loss_ce: 0.0250, aux.acc_seg: 97.4399, loss: 0.0689 2023-02-26 01:07:37,742 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 2:20:28, time: 1.129, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0402, aux.loss_ce: 0.0247, aux.acc_seg: 97.4415, loss: 0.0708 2023-02-26 01:08:36,794 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 2:19:31, time: 1.181, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0522, aux.loss_ce: 0.0258, aux.acc_seg: 97.3802, loss: 0.0721 2023-02-26 01:09:33,137 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 2:18:33, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0597, aux.loss_ce: 0.0250, aux.acc_seg: 97.4322, loss: 0.0709 2023-02-26 01:10:29,558 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 2:17:35, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0430, aux.loss_ce: 0.0251, aux.acc_seg: 97.4314, loss: 0.0716 2023-02-26 01:11:28,732 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 2:16:37, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0802, aux.loss_ce: 0.0254, aux.acc_seg: 97.3916, loss: 0.0708 2023-02-26 01:12:25,152 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 2:15:40, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0807, aux.loss_ce: 0.0248, aux.acc_seg: 97.4577, loss: 0.0701 2023-02-26 01:13:21,719 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:13:21,720 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 2:14:42, time: 1.131, data_time: 0.015, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0833, aux.loss_ce: 0.0253, aux.acc_seg: 97.4089, loss: 0.0707 2023-02-26 01:14:18,100 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 2:13:44, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0904, aux.loss_ce: 0.0254, aux.acc_seg: 97.3850, loss: 0.0706 2023-02-26 01:15:17,302 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 2:12:46, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0473, decode.acc_seg: 98.0047, aux.loss_ce: 0.0259, aux.acc_seg: 97.3544, loss: 0.0732 2023-02-26 01:16:13,604 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 2:11:49, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0647, aux.loss_ce: 0.0251, aux.acc_seg: 97.4222, loss: 0.0708 2023-02-26 01:17:09,924 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 2:10:51, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0110, aux.loss_ce: 0.0259, aux.acc_seg: 97.3547, loss: 0.0732 2023-02-26 01:18:06,297 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 2:09:53, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0517, aux.loss_ce: 0.0256, aux.acc_seg: 97.3902, loss: 0.0719 2023-02-26 01:19:05,466 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 2:08:55, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1208, aux.loss_ce: 0.0249, aux.acc_seg: 97.4444, loss: 0.0694 2023-02-26 01:20:01,949 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 2:07:58, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0595, aux.loss_ce: 0.0245, aux.acc_seg: 97.4692, loss: 0.0702 2023-02-26 01:20:58,455 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 2:07:00, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0174, aux.loss_ce: 0.0254, aux.acc_seg: 97.3981, loss: 0.0726 2023-02-26 01:21:54,782 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 2:06:02, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0871, aux.loss_ce: 0.0248, aux.acc_seg: 97.4566, loss: 0.0703 2023-02-26 01:22:53,892 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 2:05:04, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0488, decode.acc_seg: 97.9474, aux.loss_ce: 0.0256, aux.acc_seg: 97.3784, loss: 0.0744 2023-02-26 01:23:50,181 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 2:04:07, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0882, aux.loss_ce: 0.0251, aux.acc_seg: 97.4422, loss: 0.0707 2023-02-26 01:24:47,036 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 2:03:09, time: 1.137, data_time: 0.022, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1212, aux.loss_ce: 0.0241, aux.acc_seg: 97.5173, loss: 0.0685 2023-02-26 01:25:46,354 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 2:02:11, time: 1.186, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0893, aux.loss_ce: 0.0259, aux.acc_seg: 97.3756, loss: 0.0716 2023-02-26 01:26:42,706 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 2:01:13, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1200, aux.loss_ce: 0.0250, aux.acc_seg: 97.4389, loss: 0.0693 2023-02-26 01:27:39,034 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 2:00:16, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0491, aux.loss_ce: 0.0252, aux.acc_seg: 97.4149, loss: 0.0714 2023-02-26 01:28:35,456 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 1:59:18, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1426, aux.loss_ce: 0.0251, aux.acc_seg: 97.4385, loss: 0.0694 2023-02-26 01:29:34,509 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 1:58:20, time: 1.181, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0439, aux.loss_ce: 0.0264, aux.acc_seg: 97.3031, loss: 0.0728 2023-02-26 01:30:30,869 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 1:57:22, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.1069, aux.loss_ce: 0.0251, aux.acc_seg: 97.4533, loss: 0.0704 2023-02-26 01:31:27,183 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 1:56:25, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0532, aux.loss_ce: 0.0247, aux.acc_seg: 97.4651, loss: 0.0709 2023-02-26 01:32:23,533 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:32:23,533 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 1:55:27, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1053, aux.loss_ce: 0.0251, aux.acc_seg: 97.4173, loss: 0.0699 2023-02-26 01:33:23,134 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 1:54:29, time: 1.192, data_time: 0.074, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1274, aux.loss_ce: 0.0245, aux.acc_seg: 97.4824, loss: 0.0688 2023-02-26 01:34:19,508 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 1:53:31, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0193, aux.loss_ce: 0.0254, aux.acc_seg: 97.3976, loss: 0.0722 2023-02-26 01:35:15,901 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 1:52:34, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0935, aux.loss_ce: 0.0252, aux.acc_seg: 97.4194, loss: 0.0705 2023-02-26 01:36:15,102 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 1:51:36, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0441, decode.acc_seg: 98.1353, aux.loss_ce: 0.0248, aux.acc_seg: 97.4452, loss: 0.0689 2023-02-26 01:37:11,374 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 1:50:38, time: 1.125, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0830, aux.loss_ce: 0.0249, aux.acc_seg: 97.4384, loss: 0.0704 2023-02-26 01:38:07,668 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 1:49:40, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1118, aux.loss_ce: 0.0252, aux.acc_seg: 97.4178, loss: 0.0698 2023-02-26 01:39:04,066 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 1:48:43, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0301, aux.loss_ce: 0.0254, aux.acc_seg: 97.3938, loss: 0.0720 2023-02-26 01:40:03,402 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 1:47:45, time: 1.187, data_time: 0.071, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0459, aux.loss_ce: 0.0249, aux.acc_seg: 97.4568, loss: 0.0716 2023-02-26 01:40:59,793 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 1:46:47, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1327, aux.loss_ce: 0.0245, aux.acc_seg: 97.5084, loss: 0.0688 2023-02-26 01:41:56,252 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 1:45:49, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0485, decode.acc_seg: 97.9650, aux.loss_ce: 0.0263, aux.acc_seg: 97.3222, loss: 0.0748 2023-02-26 01:42:52,649 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 1:44:52, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0443, decode.acc_seg: 98.1233, aux.loss_ce: 0.0250, aux.acc_seg: 97.4256, loss: 0.0693 2023-02-26 01:43:51,796 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 1:43:54, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0436, decode.acc_seg: 98.1743, aux.loss_ce: 0.0249, aux.acc_seg: 97.4584, loss: 0.0685 2023-02-26 01:44:48,212 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 1:42:56, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0538, aux.loss_ce: 0.0255, aux.acc_seg: 97.3899, loss: 0.0717 2023-02-26 01:45:44,751 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 1:41:58, time: 1.131, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1114, aux.loss_ce: 0.0247, aux.acc_seg: 97.4801, loss: 0.0696 2023-02-26 01:46:41,365 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 1:41:01, time: 1.132, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1183, aux.loss_ce: 0.0248, aux.acc_seg: 97.4365, loss: 0.0691 2023-02-26 01:47:40,495 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 1:40:03, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0351, aux.loss_ce: 0.0256, aux.acc_seg: 97.3880, loss: 0.0725 2023-02-26 01:48:36,847 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 1:39:05, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0732, aux.loss_ce: 0.0257, aux.acc_seg: 97.3682, loss: 0.0716 2023-02-26 01:49:33,310 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 1:38:07, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0406, aux.loss_ce: 0.0252, aux.acc_seg: 97.4155, loss: 0.0717 2023-02-26 01:50:32,491 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 1:37:10, time: 1.184, data_time: 0.064, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0181, aux.loss_ce: 0.0250, aux.acc_seg: 97.4175, loss: 0.0720 2023-02-26 01:51:28,949 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:51:28,949 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 1:36:12, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1193, aux.loss_ce: 0.0250, aux.acc_seg: 97.4405, loss: 0.0697 2023-02-26 01:52:25,322 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 1:35:14, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0433, decode.acc_seg: 98.1666, aux.loss_ce: 0.0240, aux.acc_seg: 97.5337, loss: 0.0673 2023-02-26 01:53:21,786 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 1:34:16, time: 1.129, data_time: 0.014, memory: 27881, decode.loss_ce: 0.0472, decode.acc_seg: 98.0159, aux.loss_ce: 0.0264, aux.acc_seg: 97.3158, loss: 0.0736 2023-02-26 01:54:20,833 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 1:33:19, time: 1.181, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1122, aux.loss_ce: 0.0244, aux.acc_seg: 97.4987, loss: 0.0694 2023-02-26 01:55:17,139 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 1:32:21, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0470, decode.acc_seg: 98.0170, aux.loss_ce: 0.0255, aux.acc_seg: 97.3989, loss: 0.0724 2023-02-26 01:56:13,516 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 1:31:23, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1372, aux.loss_ce: 0.0258, aux.acc_seg: 97.3605, loss: 0.0700 2023-02-26 01:57:09,954 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 1:30:25, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0635, aux.loss_ce: 0.0257, aux.acc_seg: 97.3647, loss: 0.0716 2023-02-26 01:58:09,164 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 1:29:28, time: 1.184, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0398, aux.loss_ce: 0.0250, aux.acc_seg: 97.4584, loss: 0.0718 2023-02-26 01:59:05,618 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 1:28:30, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0907, aux.loss_ce: 0.0247, aux.acc_seg: 97.4659, loss: 0.0701 2023-02-26 02:00:02,101 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 1:27:32, time: 1.130, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0794, aux.loss_ce: 0.0250, aux.acc_seg: 97.4498, loss: 0.0708 2023-02-26 02:01:01,327 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 1:26:35, time: 1.185, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.0922, aux.loss_ce: 0.0243, aux.acc_seg: 97.4815, loss: 0.0691 2023-02-26 02:01:57,711 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 1:25:37, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0831, aux.loss_ce: 0.0260, aux.acc_seg: 97.3343, loss: 0.0712 2023-02-26 02:02:54,086 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 1:24:39, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0938, aux.loss_ce: 0.0252, aux.acc_seg: 97.4177, loss: 0.0704 2023-02-26 02:03:50,487 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 1:23:41, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0285, aux.loss_ce: 0.0250, aux.acc_seg: 97.4314, loss: 0.0716 2023-02-26 02:04:49,665 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 1:22:44, time: 1.183, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1017, aux.loss_ce: 0.0245, aux.acc_seg: 97.4804, loss: 0.0694 2023-02-26 02:05:46,050 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 1:21:46, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0467, decode.acc_seg: 98.0305, aux.loss_ce: 0.0260, aux.acc_seg: 97.3364, loss: 0.0726 2023-02-26 02:06:42,407 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 1:20:48, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1282, aux.loss_ce: 0.0247, aux.acc_seg: 97.4714, loss: 0.0690 2023-02-26 02:07:38,720 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 1:19:50, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0415, decode.acc_seg: 98.2501, aux.loss_ce: 0.0242, aux.acc_seg: 97.5181, loss: 0.0658 2023-02-26 02:08:37,793 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 1:18:53, time: 1.181, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0433, decode.acc_seg: 98.1616, aux.loss_ce: 0.0245, aux.acc_seg: 97.4652, loss: 0.0678 2023-02-26 02:09:34,112 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 1:17:55, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0885, aux.loss_ce: 0.0252, aux.acc_seg: 97.4093, loss: 0.0706 2023-02-26 02:10:30,539 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:10:30,677 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 1:16:57, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0810, aux.loss_ce: 0.0247, aux.acc_seg: 97.4599, loss: 0.0700 2023-02-26 02:11:27,082 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 1:15:59, time: 1.131, data_time: 0.016, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0601, aux.loss_ce: 0.0259, aux.acc_seg: 97.3454, loss: 0.0718 2023-02-26 02:12:26,261 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 1:15:02, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0536, aux.loss_ce: 0.0256, aux.acc_seg: 97.3643, loss: 0.0716 2023-02-26 02:13:22,706 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 1:14:04, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0869, aux.loss_ce: 0.0252, aux.acc_seg: 97.3992, loss: 0.0703 2023-02-26 02:14:19,124 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 1:13:06, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0446, decode.acc_seg: 98.1216, aux.loss_ce: 0.0248, aux.acc_seg: 97.4664, loss: 0.0693 2023-02-26 02:15:18,255 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 1:12:08, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0703, aux.loss_ce: 0.0249, aux.acc_seg: 97.4509, loss: 0.0706 2023-02-26 02:16:14,658 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 1:11:11, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0672, aux.loss_ce: 0.0254, aux.acc_seg: 97.4097, loss: 0.0715 2023-02-26 02:17:11,099 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 1:10:13, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0479, decode.acc_seg: 97.9784, aux.loss_ce: 0.0258, aux.acc_seg: 97.3656, loss: 0.0736 2023-02-26 02:18:07,424 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 1:09:15, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0902, aux.loss_ce: 0.0253, aux.acc_seg: 97.4337, loss: 0.0709 2023-02-26 02:19:06,533 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 1:08:18, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1195, aux.loss_ce: 0.0254, aux.acc_seg: 97.4127, loss: 0.0700 2023-02-26 02:20:02,854 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 1:07:20, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0623, aux.loss_ce: 0.0247, aux.acc_seg: 97.4523, loss: 0.0705 2023-02-26 02:20:59,188 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 1:06:22, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0463, decode.acc_seg: 98.0422, aux.loss_ce: 0.0257, aux.acc_seg: 97.3434, loss: 0.0720 2023-02-26 02:21:55,533 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 1:05:24, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1425, aux.loss_ce: 0.0246, aux.acc_seg: 97.4678, loss: 0.0685 2023-02-26 02:22:54,703 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 1:04:27, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.0926, aux.loss_ce: 0.0249, aux.acc_seg: 97.4461, loss: 0.0697 2023-02-26 02:23:51,104 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 1:03:29, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0431, decode.acc_seg: 98.1868, aux.loss_ce: 0.0251, aux.acc_seg: 97.4412, loss: 0.0682 2023-02-26 02:24:47,511 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 1:02:31, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0453, aux.loss_ce: 0.0265, aux.acc_seg: 97.3321, loss: 0.0729 2023-02-26 02:25:46,707 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 1:01:33, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0476, decode.acc_seg: 97.9979, aux.loss_ce: 0.0256, aux.acc_seg: 97.3689, loss: 0.0732 2023-02-26 02:26:43,020 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 1:00:36, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0462, decode.acc_seg: 98.0482, aux.loss_ce: 0.0254, aux.acc_seg: 97.3987, loss: 0.0716 2023-02-26 02:27:39,352 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:59:38, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0198, aux.loss_ce: 0.0250, aux.acc_seg: 97.4380, loss: 0.0721 2023-02-26 02:28:35,681 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:58:40, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0455, decode.acc_seg: 98.0759, aux.loss_ce: 0.0256, aux.acc_seg: 97.3655, loss: 0.0711 2023-02-26 02:29:34,762 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:29:34,775 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:57:42, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0740, aux.loss_ce: 0.0257, aux.acc_seg: 97.3744, loss: 0.0716 2023-02-26 02:30:31,234 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:56:45, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1355, aux.loss_ce: 0.0244, aux.acc_seg: 97.4957, loss: 0.0685 2023-02-26 02:31:27,583 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:55:47, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0426, decode.acc_seg: 98.1826, aux.loss_ce: 0.0244, aux.acc_seg: 97.4851, loss: 0.0670 2023-02-26 02:32:23,932 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:54:49, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0468, decode.acc_seg: 98.0224, aux.loss_ce: 0.0248, aux.acc_seg: 97.4526, loss: 0.0715 2023-02-26 02:33:23,032 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:53:52, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1353, aux.loss_ce: 0.0246, aux.acc_seg: 97.4816, loss: 0.0688 2023-02-26 02:34:19,371 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:52:54, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1305, aux.loss_ce: 0.0249, aux.acc_seg: 97.4522, loss: 0.0694 2023-02-26 02:35:15,681 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:51:56, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1187, aux.loss_ce: 0.0242, aux.acc_seg: 97.5071, loss: 0.0686 2023-02-26 02:36:12,032 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:50:58, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1240, aux.loss_ce: 0.0251, aux.acc_seg: 97.4119, loss: 0.0695 2023-02-26 02:37:11,072 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:50:01, time: 1.181, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0437, decode.acc_seg: 98.1582, aux.loss_ce: 0.0244, aux.acc_seg: 97.5001, loss: 0.0681 2023-02-26 02:38:07,410 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:49:03, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0787, aux.loss_ce: 0.0254, aux.acc_seg: 97.3894, loss: 0.0710 2023-02-26 02:39:03,718 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:48:05, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1130, aux.loss_ce: 0.0249, aux.acc_seg: 97.4385, loss: 0.0694 2023-02-26 02:40:02,724 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:47:08, time: 1.180, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0537, aux.loss_ce: 0.0257, aux.acc_seg: 97.3448, loss: 0.0717 2023-02-26 02:40:59,132 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:46:10, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0466, decode.acc_seg: 98.0229, aux.loss_ce: 0.0259, aux.acc_seg: 97.3301, loss: 0.0725 2023-02-26 02:41:55,584 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:45:12, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 98.0026, aux.loss_ce: 0.0258, aux.acc_seg: 97.3582, loss: 0.0731 2023-02-26 02:42:52,075 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:44:14, time: 1.130, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0448, decode.acc_seg: 98.1051, aux.loss_ce: 0.0250, aux.acc_seg: 97.4280, loss: 0.0698 2023-02-26 02:43:51,285 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:43:17, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0742, aux.loss_ce: 0.0255, aux.acc_seg: 97.3823, loss: 0.0711 2023-02-26 02:44:47,689 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:42:19, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0639, aux.loss_ce: 0.0254, aux.acc_seg: 97.3809, loss: 0.0709 2023-02-26 02:45:44,182 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:41:21, time: 1.130, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0564, aux.loss_ce: 0.0254, aux.acc_seg: 97.3949, loss: 0.0714 2023-02-26 02:46:40,510 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:40:23, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0469, decode.acc_seg: 98.0233, aux.loss_ce: 0.0250, aux.acc_seg: 97.4403, loss: 0.0719 2023-02-26 02:47:39,730 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:39:26, time: 1.184, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0456, decode.acc_seg: 98.0767, aux.loss_ce: 0.0247, aux.acc_seg: 97.4716, loss: 0.0703 2023-02-26 02:48:36,035 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:48:36,036 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:38:28, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 97.9955, aux.loss_ce: 0.0261, aux.acc_seg: 97.3213, loss: 0.0736 2023-02-26 02:49:32,365 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:37:30, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0441, decode.acc_seg: 98.1312, aux.loss_ce: 0.0243, aux.acc_seg: 97.5006, loss: 0.0684 2023-02-26 02:50:28,687 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:36:33, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1181, aux.loss_ce: 0.0248, aux.acc_seg: 97.4624, loss: 0.0695 2023-02-26 02:51:27,846 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:35:35, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0653, aux.loss_ce: 0.0253, aux.acc_seg: 97.4068, loss: 0.0712 2023-02-26 02:52:24,236 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:34:37, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0441, decode.acc_seg: 98.1444, aux.loss_ce: 0.0252, aux.acc_seg: 97.4305, loss: 0.0692 2023-02-26 02:53:20,623 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:33:39, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0432, decode.acc_seg: 98.1744, aux.loss_ce: 0.0246, aux.acc_seg: 97.4653, loss: 0.0679 2023-02-26 02:54:19,818 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:32:42, time: 1.184, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1380, aux.loss_ce: 0.0246, aux.acc_seg: 97.4872, loss: 0.0688 2023-02-26 02:55:16,245 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:31:44, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0465, decode.acc_seg: 98.0296, aux.loss_ce: 0.0261, aux.acc_seg: 97.3222, loss: 0.0726 2023-02-26 02:56:12,586 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:30:46, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0478, decode.acc_seg: 97.9964, aux.loss_ce: 0.0264, aux.acc_seg: 97.3089, loss: 0.0742 2023-02-26 02:57:08,951 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:29:49, time: 1.127, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1183, aux.loss_ce: 0.0255, aux.acc_seg: 97.3760, loss: 0.0701 2023-02-26 02:58:08,075 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:28:51, time: 1.182, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0846, aux.loss_ce: 0.0245, aux.acc_seg: 97.4721, loss: 0.0697 2023-02-26 02:59:04,460 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:27:53, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0700, aux.loss_ce: 0.0244, aux.acc_seg: 97.4835, loss: 0.0699 2023-02-26 03:00:00,804 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:26:55, time: 1.127, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0441, decode.acc_seg: 98.1449, aux.loss_ce: 0.0249, aux.acc_seg: 97.4484, loss: 0.0691 2023-02-26 03:00:57,433 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:25:58, time: 1.133, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0436, decode.acc_seg: 98.1579, aux.loss_ce: 0.0248, aux.acc_seg: 97.4624, loss: 0.0684 2023-02-26 03:01:56,573 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:25:00, time: 1.183, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0471, decode.acc_seg: 98.0214, aux.loss_ce: 0.0261, aux.acc_seg: 97.3317, loss: 0.0731 2023-02-26 03:02:53,005 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:24:02, time: 1.129, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0461, decode.acc_seg: 98.0408, aux.loss_ce: 0.0254, aux.acc_seg: 97.4100, loss: 0.0716 2023-02-26 03:03:49,447 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:23:05, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0451, decode.acc_seg: 98.0996, aux.loss_ce: 0.0246, aux.acc_seg: 97.4790, loss: 0.0697 2023-02-26 03:04:48,626 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:22:07, time: 1.184, data_time: 0.066, memory: 27881, decode.loss_ce: 0.0449, decode.acc_seg: 98.1115, aux.loss_ce: 0.0246, aux.acc_seg: 97.4904, loss: 0.0696 2023-02-26 03:05:45,006 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:21:09, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0442, decode.acc_seg: 98.1490, aux.loss_ce: 0.0239, aux.acc_seg: 97.5552, loss: 0.0681 2023-02-26 03:06:41,400 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:20:11, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0450, decode.acc_seg: 98.1141, aux.loss_ce: 0.0256, aux.acc_seg: 97.3963, loss: 0.0706 2023-02-26 03:07:37,781 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:07:37,782 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:19:14, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0474, decode.acc_seg: 97.9971, aux.loss_ce: 0.0255, aux.acc_seg: 97.3802, loss: 0.0729 2023-02-26 03:08:36,930 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:18:16, time: 1.183, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0458, decode.acc_seg: 98.0763, aux.loss_ce: 0.0254, aux.acc_seg: 97.4055, loss: 0.0712 2023-02-26 03:09:33,318 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:17:18, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0438, decode.acc_seg: 98.1473, aux.loss_ce: 0.0249, aux.acc_seg: 97.4413, loss: 0.0687 2023-02-26 03:10:29,786 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:16:21, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0444, decode.acc_seg: 98.1238, aux.loss_ce: 0.0250, aux.acc_seg: 97.4208, loss: 0.0695 2023-02-26 03:11:26,196 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:15:23, time: 1.128, data_time: 0.013, memory: 27881, decode.loss_ce: 0.0437, decode.acc_seg: 98.1734, aux.loss_ce: 0.0244, aux.acc_seg: 97.5155, loss: 0.0681 2023-02-26 03:12:25,385 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:14:25, time: 1.184, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0464, decode.acc_seg: 98.0344, aux.loss_ce: 0.0252, aux.acc_seg: 97.3978, loss: 0.0716 2023-02-26 03:13:21,771 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:13:27, time: 1.128, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0447, decode.acc_seg: 98.1073, aux.loss_ce: 0.0254, aux.acc_seg: 97.3839, loss: 0.0701 2023-02-26 03:14:18,210 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:12:30, time: 1.129, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0457, decode.acc_seg: 98.0776, aux.loss_ce: 0.0253, aux.acc_seg: 97.4271, loss: 0.0710 2023-02-26 03:15:14,611 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:11:32, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0940, aux.loss_ce: 0.0253, aux.acc_seg: 97.3984, loss: 0.0705 2023-02-26 03:16:13,683 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:10:34, time: 1.181, data_time: 0.065, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0579, aux.loss_ce: 0.0254, aux.acc_seg: 97.4011, loss: 0.0713 2023-02-26 03:17:09,914 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:09:37, time: 1.125, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0416, decode.acc_seg: 98.2435, aux.loss_ce: 0.0243, aux.acc_seg: 97.4977, loss: 0.0659 2023-02-26 03:18:06,222 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:08:39, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0475, decode.acc_seg: 97.9980, aux.loss_ce: 0.0258, aux.acc_seg: 97.3421, loss: 0.0733 2023-02-26 03:19:05,329 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:07:41, time: 1.182, data_time: 0.068, memory: 27881, decode.loss_ce: 0.0445, decode.acc_seg: 98.1205, aux.loss_ce: 0.0250, aux.acc_seg: 97.4341, loss: 0.0695 2023-02-26 03:20:01,671 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:06:43, time: 1.127, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0838, aux.loss_ce: 0.0243, aux.acc_seg: 97.5018, loss: 0.0695 2023-02-26 03:20:57,993 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:05:46, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0453, decode.acc_seg: 98.0799, aux.loss_ce: 0.0254, aux.acc_seg: 97.3873, loss: 0.0707 2023-02-26 03:21:54,305 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:04:48, time: 1.126, data_time: 0.011, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0960, aux.loss_ce: 0.0248, aux.acc_seg: 97.4569, loss: 0.0700 2023-02-26 03:22:53,462 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:03:50, time: 1.183, data_time: 0.067, memory: 27881, decode.loss_ce: 0.0454, decode.acc_seg: 98.0809, aux.loss_ce: 0.0254, aux.acc_seg: 97.3830, loss: 0.0708 2023-02-26 03:23:49,877 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:02:53, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0459, decode.acc_seg: 98.0675, aux.loss_ce: 0.0248, aux.acc_seg: 97.4656, loss: 0.0707 2023-02-26 03:24:46,286 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:01:55, time: 1.128, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0460, decode.acc_seg: 98.0715, aux.loss_ce: 0.0257, aux.acc_seg: 97.3810, loss: 0.0717 2023-02-26 03:25:42,586 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:57, time: 1.126, data_time: 0.012, memory: 27881, decode.loss_ce: 0.0452, decode.acc_seg: 98.0893, aux.loss_ce: 0.0253, aux.acc_seg: 97.4034, loss: 0.0705 2023-02-26 03:26:41,976 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-02-26 03:26:46,022 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:26:46,025 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 1.269, data_time: 0.070, memory: 27881, decode.loss_ce: 0.0439, decode.acc_seg: 98.1461, aux.loss_ce: 0.0246, aux.acc_seg: 97.4790, loss: 0.0684 2023-02-26 03:27:48,706 - mmseg - INFO - per class results: 2023-02-26 03:27:48,708 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.53 | 99.25 | | sidewalk | 87.63 | 93.59 | | building | 93.6 | 97.24 | | wall | 60.16 | 65.89 | | fence | 66.17 | 72.5 | | pole | 71.94 | 82.92 | | traffic light | 76.56 | 86.35 | | traffic sign | 84.13 | 90.24 | | vegetation | 93.33 | 96.93 | | terrain | 67.18 | 74.61 | | sky | 95.41 | 98.54 | | person | 85.8 | 93.26 | | rider | 68.97 | 80.55 | | car | 96.12 | 98.29 | | truck | 85.74 | 89.24 | | bus | 93.03 | 94.77 | | train | 87.55 | 91.71 | | motorcycle | 72.5 | 83.83 | | bicycle | 81.94 | 91.53 | +---------------+-------+-------+ 2023-02-26 03:27:48,708 - mmseg - INFO - Summary: 2023-02-26 03:27:48,708 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.77 | 82.44 | 88.49 | +-------+-------+-------+ 2023-02-26 03:27:48,708 - mmseg - INFO - Exp name: deform_convnext_b_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:27:48,709 - mmseg - INFO - Iter(val) [125] aAcc: 0.9677, mIoU: 0.8244, mAcc: 0.8849, IoU.road: 0.9853, IoU.sidewalk: 0.8763, IoU.building: 0.9360, IoU.wall: 0.6016, IoU.fence: 0.6617, IoU.pole: 0.7194, IoU.traffic light: 0.7656, IoU.traffic sign: 0.8413, IoU.vegetation: 0.9333, IoU.terrain: 0.6718, IoU.sky: 0.9541, IoU.person: 0.8580, IoU.rider: 0.6897, IoU.car: 0.9612, IoU.truck: 0.8574, IoU.bus: 0.9303, IoU.train: 0.8755, IoU.motorcycle: 0.7250, IoU.bicycle: 0.8194, Acc.road: 0.9925, Acc.sidewalk: 0.9359, Acc.building: 0.9724, Acc.wall: 0.6589, Acc.fence: 0.7250, Acc.pole: 0.8292, Acc.traffic light: 0.8635, Acc.traffic sign: 0.9024, Acc.vegetation: 0.9693, Acc.terrain: 0.7461, Acc.sky: 0.9854, Acc.person: 0.9326, Acc.rider: 0.8055, Acc.car: 0.9829, Acc.truck: 0.8924, Acc.bus: 0.9477, Acc.train: 0.9171, Acc.motorcycle: 0.8383, Acc.bicycle: 0.9153