2023-02-24 00:24:33,425 - mmseg - INFO - Multi-processing start method is `None` 2023-02-24 00:24:33,425 - mmseg - INFO - OpenCV num_threads is `44 2023-02-24 00:24:33,425 - mmseg - INFO - OMP num threads is 1 2023-02-24 00:24:33,563 - 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 00:24:33,563 - mmseg - INFO - Distributed training: True 2023-02-24 00:24:35,525 - 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-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.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='small', out_indices=[0, 1, 2, 3], drop_path_rate=0.3, 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-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth', prefix='backbone.')), neck=[ dict( type='FPN', in_channels=[96, 192, 384, 768], 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_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/' gpu_ids = range(0, 4) auto_resume = True 2023-02-24 00:24:37,674 - mmseg - INFO - Set random seed to 457670295, deterministic: True 2023-02-24 00:24:38,313 - mmseg - INFO - initialize ConvNeXt with init_cfg {'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth', 'prefix': 'backbone.'} 2023-02-24 00:24:43,135 - mmseg - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-02-24 00:24:43,158 - mmseg - INFO - initialize MultiStageMerging with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-02-24 00:24:43,229 - 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([96, 3, 4, 4]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.0.0.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.0.1.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.0.1.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.1.0.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.1.0.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.1.1.weight - torch.Size([192, 96, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.1.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.2.0.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.2.0.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.2.1.weight - torch.Size([384, 192, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.2.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.3.0.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.3.0.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.3.1.weight - torch.Size([768, 384, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.downsample_layers.3.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.gamma - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.depthwise_conv.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.norm.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.norm.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.pointwise_conv1.weight - torch.Size([384, 96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.pointwise_conv1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.pointwise_conv2.weight - torch.Size([96, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.0.pointwise_conv2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.gamma - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.depthwise_conv.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.norm.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.norm.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.pointwise_conv1.weight - torch.Size([384, 96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.pointwise_conv1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.pointwise_conv2.weight - torch.Size([96, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.1.pointwise_conv2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.gamma - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.depthwise_conv.weight - torch.Size([96, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.depthwise_conv.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.norm.weight - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.norm.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.pointwise_conv1.weight - torch.Size([384, 96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.pointwise_conv1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.pointwise_conv2.weight - torch.Size([96, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.0.2.pointwise_conv2.bias - torch.Size([96]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.gamma - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.depthwise_conv.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.norm.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.norm.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.pointwise_conv1.weight - torch.Size([768, 192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.pointwise_conv1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.pointwise_conv2.weight - torch.Size([192, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.0.pointwise_conv2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.gamma - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.depthwise_conv.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.norm.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.norm.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.pointwise_conv1.weight - torch.Size([768, 192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.pointwise_conv1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.pointwise_conv2.weight - torch.Size([192, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.1.pointwise_conv2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.gamma - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.depthwise_conv.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.norm.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.norm.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.pointwise_conv1.weight - torch.Size([768, 192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.pointwise_conv1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.pointwise_conv2.weight - torch.Size([192, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.1.2.pointwise_conv2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.0.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.1.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.2.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.3.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.4.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.5.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.6.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.7.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.8.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.9.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.10.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.11.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.12.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.13.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.14.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.15.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.16.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.17.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.18.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.19.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.20.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.21.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.22.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.23.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.24.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.25.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.2.26.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.0.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.1.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.stages.3.2.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth backbone.norm0.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm0.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.0.conv.weight - torch.Size([256, 96, 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, 192, 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, 384, 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, 768, 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 00:24:43,236 - mmseg - INFO - DiffSegV20( (backbone): ConvNeXt( (downsample_layers): ModuleList( (0): Sequential( (0): Conv2d(3, 96, kernel_size=(4, 4), stride=(4, 4)) (1): LayerNorm2d((96,), eps=1e-06, elementwise_affine=True) ) (1): Sequential( (0): LayerNorm2d((96,), eps=1e-05, elementwise_affine=True) (1): Conv2d(96, 192, kernel_size=(2, 2), stride=(2, 2)) ) (2): Sequential( (0): LayerNorm2d((192,), eps=1e-05, elementwise_affine=True) (1): Conv2d(192, 384, kernel_size=(2, 2), stride=(2, 2)) ) (3): Sequential( (0): LayerNorm2d((384,), eps=1e-05, elementwise_affine=True) (1): Conv2d(384, 768, kernel_size=(2, 2), stride=(2, 2)) ) ) (stages): ModuleList( (0): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(96, 96, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=96) (norm): LayerNorm2d((96,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=96, out_features=384, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=384, out_features=96, bias=True) (drop_path): Identity() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(96, 96, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=96) (norm): LayerNorm2d((96,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=96, out_features=384, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=384, out_features=96, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(96, 96, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=96) (norm): LayerNorm2d((96,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=96, out_features=384, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=384, out_features=96, bias=True) (drop_path): DropPath() ) ) (1): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(192, 192, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=192) (norm): LayerNorm2d((192,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=192, out_features=768, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=768, out_features=192, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(192, 192, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=192) (norm): LayerNorm2d((192,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=192, out_features=768, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=768, out_features=192, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(192, 192, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=192) (norm): LayerNorm2d((192,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=192, out_features=768, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=768, out_features=192, bias=True) (drop_path): DropPath() ) ) (2): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (3): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (4): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (5): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (6): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (7): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (8): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (9): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (10): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (11): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (12): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (13): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (14): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (15): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (16): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (17): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (18): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (19): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (20): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (21): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (22): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (23): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (24): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (25): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) (26): ConvNeXtBlock( (depthwise_conv): Conv2d(384, 384, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=384) (norm): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=1536, out_features=384, bias=True) (drop_path): DropPath() ) ) (3): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(768, 768, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=768) (norm): LayerNorm2d((768,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=3072, out_features=768, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(768, 768, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=768) (norm): LayerNorm2d((768,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=3072, out_features=768, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(768, 768, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=768) (norm): LayerNorm2d((768,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=3072, out_features=768, bias=True) (drop_path): DropPath() ) ) ) (norm0): LayerNorm2d((96,), eps=1e-06, elementwise_affine=True) (norm1): LayerNorm2d((192,), eps=1e-06, elementwise_affine=True) (norm2): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (norm3): LayerNorm2d((768,), eps=1e-06, elementwise_affine=True) ) init_cfg={'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-small_3rdparty_32xb128-noema_in1k_20220301-303e75e3.pth', 'prefix': 'backbone.'} (neck): Sequential( (0): FPN( (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(96, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(192, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(384, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (3): ConvModule( (conv): Conv2d(768, 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 00:24:43,242 - mmseg - INFO - Model size:218.59 2023-02-24 00:24:43,960 - mmseg - INFO - Loaded 2975 images 2023-02-24 00:24:46,560 - mmseg - INFO - Loaded 500 images 2023-02-24 00:24:46,572 - 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 00:24:46,572 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-02-24 00:24:46,573 - mmseg - INFO - Checkpoints will be saved to /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20 by HardDiskBackend. 2023-02-24 00:25:59,899 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 1 day, 21:29:41, time: 1.024, data_time: 0.034, memory: 24831, decode.loss_ce: 3.3763, decode.acc_seg: 6.6088, aux.loss_ce: 1.1018, aux.acc_seg: 9.7101, loss: 4.4781 2023-02-24 00:26:47,251 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 1 day, 19:46:19, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 1.9114, decode.acc_seg: 37.8908, aux.loss_ce: 1.0825, aux.acc_seg: 12.7963, loss: 2.9938 2023-02-24 00:27:35,191 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 1 day, 19:21:45, time: 0.959, data_time: 0.025, memory: 24831, decode.loss_ce: 1.4622, decode.acc_seg: 55.7665, aux.loss_ce: 1.0655, aux.acc_seg: 24.9395, loss: 2.5276 2023-02-24 00:28:26,340 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 1 day, 19:51:49, time: 1.023, data_time: 0.084, memory: 24831, decode.loss_ce: 1.0928, decode.acc_seg: 68.5998, aux.loss_ce: 1.0275, aux.acc_seg: 51.3277, loss: 2.1203 2023-02-24 00:29:13,607 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 1 day, 19:28:07, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.8274, decode.acc_seg: 74.8536, aux.loss_ce: 0.9398, aux.acc_seg: 66.3650, loss: 1.7672 2023-02-24 00:30:00,868 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 1 day, 19:12:02, time: 0.945, data_time: 0.012, memory: 24831, decode.loss_ce: 0.6752, decode.acc_seg: 79.2821, aux.loss_ce: 0.8625, aux.acc_seg: 72.0312, loss: 1.5377 2023-02-24 00:30:48,124 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 1 day, 19:00:21, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.5717, decode.acc_seg: 82.1643, aux.loss_ce: 0.7717, aux.acc_seg: 75.1350, loss: 1.3434 2023-02-24 00:31:38,581 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 1 day, 19:12:37, time: 1.009, data_time: 0.074, memory: 24831, decode.loss_ce: 0.5294, decode.acc_seg: 83.2796, aux.loss_ce: 0.7039, aux.acc_seg: 75.7774, loss: 1.2333 2023-02-24 00:32:26,361 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 1 day, 19:06:10, time: 0.956, data_time: 0.024, memory: 24831, decode.loss_ce: 0.4913, decode.acc_seg: 84.0144, aux.loss_ce: 0.6477, aux.acc_seg: 75.7795, loss: 1.1390 2023-02-24 00:33:13,568 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 1 day, 18:57:47, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.4776, decode.acc_seg: 84.4674, aux.loss_ce: 0.5980, aux.acc_seg: 76.3205, loss: 1.0756 2023-02-24 00:34:01,249 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 1 day, 18:53:06, time: 0.954, data_time: 0.017, memory: 24831, decode.loss_ce: 0.4352, decode.acc_seg: 85.7826, aux.loss_ce: 0.5506, aux.acc_seg: 78.9131, loss: 0.9858 2023-02-24 00:34:51,808 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 1 day, 19:01:43, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.4072, decode.acc_seg: 86.4437, aux.loss_ce: 0.5050, aux.acc_seg: 78.9956, loss: 0.9121 2023-02-24 00:35:38,858 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 1 day, 18:54:41, time: 0.941, data_time: 0.011, memory: 24831, decode.loss_ce: 0.4082, decode.acc_seg: 86.3650, aux.loss_ce: 0.4701, aux.acc_seg: 79.7321, loss: 0.8783 2023-02-24 00:36:26,770 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 1 day, 18:51:41, time: 0.958, data_time: 0.025, memory: 24831, decode.loss_ce: 0.3847, decode.acc_seg: 86.9541, aux.loss_ce: 0.4290, aux.acc_seg: 81.7761, loss: 0.8137 2023-02-24 00:37:16,917 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 1 day, 18:57:00, time: 1.003, data_time: 0.070, memory: 24831, decode.loss_ce: 0.3804, decode.acc_seg: 87.0769, aux.loss_ce: 0.4019, aux.acc_seg: 81.9566, loss: 0.7824 2023-02-24 00:38:03,918 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 1 day, 18:51:04, time: 0.940, data_time: 0.011, memory: 24831, decode.loss_ce: 0.3600, decode.acc_seg: 87.6372, aux.loss_ce: 0.3688, aux.acc_seg: 83.0651, loss: 0.7288 2023-02-24 00:38:51,035 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 1 day, 18:46:06, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.3354, decode.acc_seg: 88.4238, aux.loss_ce: 0.3369, aux.acc_seg: 84.0172, loss: 0.6723 2023-02-24 00:39:38,076 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 1 day, 18:41:22, time: 0.941, data_time: 0.012, memory: 24831, decode.loss_ce: 0.3359, decode.acc_seg: 88.3985, aux.loss_ce: 0.3206, aux.acc_seg: 84.2883, loss: 0.6564 2023-02-24 00:40:31,279 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 1 day, 18:54:12, time: 1.064, data_time: 0.129, memory: 24831, decode.loss_ce: 0.3578, decode.acc_seg: 87.8910, aux.loss_ce: 0.3054, aux.acc_seg: 84.1361, loss: 0.6633 2023-02-24 00:41:18,335 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 00:41:18,335 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 1 day, 18:49:25, time: 0.941, data_time: 0.011, memory: 24831, decode.loss_ce: 0.3430, decode.acc_seg: 88.1691, aux.loss_ce: 0.2834, aux.acc_seg: 84.6733, loss: 0.6264 2023-02-24 00:42:07,026 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 1 day, 18:49:11, time: 0.974, data_time: 0.043, memory: 24831, decode.loss_ce: 0.3210, decode.acc_seg: 88.8398, aux.loss_ce: 0.2689, aux.acc_seg: 85.2336, loss: 0.5900 2023-02-24 00:42:53,921 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 1 day, 18:44:32, time: 0.938, data_time: 0.010, memory: 24831, decode.loss_ce: 0.3144, decode.acc_seg: 89.1799, aux.loss_ce: 0.2493, aux.acc_seg: 85.5300, loss: 0.5637 2023-02-24 00:43:44,421 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 1 day, 18:48:31, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.3060, decode.acc_seg: 89.5884, aux.loss_ce: 0.2396, aux.acc_seg: 86.0752, loss: 0.5456 2023-02-24 00:44:31,547 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 1 day, 18:44:39, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2964, decode.acc_seg: 89.7910, aux.loss_ce: 0.2279, aux.acc_seg: 86.0296, loss: 0.5244 2023-02-24 00:45:18,661 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 1 day, 18:41:01, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2976, decode.acc_seg: 89.7909, aux.loss_ce: 0.2123, aux.acc_seg: 86.9729, loss: 0.5099 2023-02-24 00:46:05,883 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 1 day, 18:37:49, time: 0.945, data_time: 0.012, memory: 24831, decode.loss_ce: 0.3003, decode.acc_seg: 89.4874, aux.loss_ce: 0.2115, aux.acc_seg: 86.4690, loss: 0.5117 2023-02-24 00:46:56,373 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 1 day, 18:41:12, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.2854, decode.acc_seg: 90.2354, aux.loss_ce: 0.2006, aux.acc_seg: 87.2548, loss: 0.4860 2023-02-24 00:47:43,408 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 1 day, 18:37:46, time: 0.941, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2750, decode.acc_seg: 90.3336, aux.loss_ce: 0.1911, aux.acc_seg: 87.7895, loss: 0.4661 2023-02-24 00:48:30,970 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 1 day, 18:35:27, time: 0.951, data_time: 0.021, memory: 24831, decode.loss_ce: 0.2788, decode.acc_seg: 90.4279, aux.loss_ce: 0.1812, aux.acc_seg: 88.1570, loss: 0.4600 2023-02-24 00:49:21,179 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 1 day, 18:37:55, time: 1.004, data_time: 0.076, memory: 24831, decode.loss_ce: 0.2908, decode.acc_seg: 89.7776, aux.loss_ce: 0.1829, aux.acc_seg: 87.7516, loss: 0.4736 2023-02-24 00:50:08,187 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 1 day, 18:34:43, time: 0.940, data_time: 0.012, memory: 24831, decode.loss_ce: 0.2867, decode.acc_seg: 90.0730, aux.loss_ce: 0.1705, aux.acc_seg: 88.6518, loss: 0.4572 2023-02-24 00:50:56,344 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 1 day, 18:33:33, time: 0.963, data_time: 0.026, memory: 24831, decode.loss_ce: 0.2617, decode.acc_seg: 90.9250, aux.loss_ce: 0.1635, aux.acc_seg: 89.1224, loss: 0.4252 2023-02-24 00:51:43,494 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 1 day, 18:30:48, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2629, decode.acc_seg: 90.8382, aux.loss_ce: 0.1637, aux.acc_seg: 88.8156, loss: 0.4266 2023-02-24 00:52:34,494 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 1 day, 18:34:08, time: 1.020, data_time: 0.084, memory: 24831, decode.loss_ce: 0.2629, decode.acc_seg: 90.7405, aux.loss_ce: 0.1550, aux.acc_seg: 89.2481, loss: 0.4179 2023-02-24 00:53:21,623 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 1 day, 18:31:25, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2598, decode.acc_seg: 90.8887, aux.loss_ce: 0.1513, aux.acc_seg: 89.5572, loss: 0.4111 2023-02-24 00:54:08,815 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 1 day, 18:28:52, time: 0.943, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2480, decode.acc_seg: 91.3757, aux.loss_ce: 0.1426, aux.acc_seg: 90.1162, loss: 0.3905 2023-02-24 00:54:56,406 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 1 day, 18:26:59, time: 0.952, data_time: 0.014, memory: 24831, decode.loss_ce: 0.2534, decode.acc_seg: 91.3005, aux.loss_ce: 0.1425, aux.acc_seg: 89.9801, loss: 0.3958 2023-02-24 00:55:47,930 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 1 day, 18:30:40, time: 1.031, data_time: 0.085, memory: 24831, decode.loss_ce: 0.2484, decode.acc_seg: 91.3579, aux.loss_ce: 0.1405, aux.acc_seg: 90.0338, loss: 0.3889 2023-02-24 00:56:34,878 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 1 day, 18:27:53, time: 0.939, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2521, decode.acc_seg: 91.1201, aux.loss_ce: 0.1370, aux.acc_seg: 90.0562, loss: 0.3891 2023-02-24 00:57:21,954 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 00:57:21,954 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 1 day, 18:25:24, time: 0.942, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2265, decode.acc_seg: 91.8484, aux.loss_ce: 0.1300, aux.acc_seg: 90.3529, loss: 0.3565 2023-02-24 00:58:13,000 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 1 day, 18:28:05, time: 1.021, data_time: 0.086, memory: 24831, decode.loss_ce: 0.2443, decode.acc_seg: 91.2910, aux.loss_ce: 0.1327, aux.acc_seg: 90.0853, loss: 0.3770 2023-02-24 00:59:00,130 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 1 day, 18:25:41, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2389, decode.acc_seg: 91.5562, aux.loss_ce: 0.1275, aux.acc_seg: 90.6001, loss: 0.3664 2023-02-24 00:59:47,353 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 1 day, 18:23:27, time: 0.944, data_time: 0.013, memory: 24831, decode.loss_ce: 0.2363, decode.acc_seg: 91.5660, aux.loss_ce: 0.1252, aux.acc_seg: 90.5713, loss: 0.3616 2023-02-24 01:00:34,877 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 1 day, 18:21:42, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.2277, decode.acc_seg: 91.8140, aux.loss_ce: 0.1229, aux.acc_seg: 90.6672, loss: 0.3505 2023-02-24 01:01:25,457 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 1 day, 18:23:30, time: 1.011, data_time: 0.072, memory: 24831, decode.loss_ce: 0.2217, decode.acc_seg: 92.1149, aux.loss_ce: 0.1174, aux.acc_seg: 91.1367, loss: 0.3392 2023-02-24 01:02:12,383 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 1 day, 18:21:04, time: 0.939, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2260, decode.acc_seg: 92.0272, aux.loss_ce: 0.1179, aux.acc_seg: 90.9972, loss: 0.3439 2023-02-24 01:02:59,978 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 1 day, 18:19:26, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2329, decode.acc_seg: 91.7157, aux.loss_ce: 0.1194, aux.acc_seg: 90.9079, loss: 0.3523 2023-02-24 01:03:47,067 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 1 day, 18:17:16, time: 0.942, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2469, decode.acc_seg: 91.3895, aux.loss_ce: 0.1220, aux.acc_seg: 90.6220, loss: 0.3689 2023-02-24 01:04:36,915 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 1 day, 18:18:07, time: 0.997, data_time: 0.063, memory: 24831, decode.loss_ce: 0.2226, decode.acc_seg: 92.1206, aux.loss_ce: 0.1136, aux.acc_seg: 91.3201, loss: 0.3362 2023-02-24 01:05:23,997 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 1 day, 18:16:01, time: 0.942, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2310, decode.acc_seg: 91.8346, aux.loss_ce: 0.1171, aux.acc_seg: 90.9115, loss: 0.3481 2023-02-24 01:06:11,457 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 1 day, 18:14:19, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.2206, decode.acc_seg: 92.2286, aux.loss_ce: 0.1091, aux.acc_seg: 91.5841, loss: 0.3297 2023-02-24 01:06:59,015 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 1 day, 18:12:48, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2275, decode.acc_seg: 91.9798, aux.loss_ce: 0.1139, aux.acc_seg: 91.1163, loss: 0.3414 2023-02-24 01:07:49,070 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 1 day, 18:13:45, time: 1.001, data_time: 0.068, memory: 24831, decode.loss_ce: 0.2078, decode.acc_seg: 92.5378, aux.loss_ce: 0.1044, aux.acc_seg: 91.8565, loss: 0.3122 2023-02-24 01:08:36,297 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 1 day, 18:11:54, time: 0.945, data_time: 0.015, memory: 24831, decode.loss_ce: 0.2045, decode.acc_seg: 92.6772, aux.loss_ce: 0.1048, aux.acc_seg: 91.8033, loss: 0.3093 2023-02-24 01:09:23,292 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 1 day, 18:09:51, time: 0.940, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2130, decode.acc_seg: 92.4902, aux.loss_ce: 0.1050, aux.acc_seg: 91.8271, loss: 0.3180 2023-02-24 01:10:13,952 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 1 day, 18:11:18, time: 1.013, data_time: 0.083, memory: 24831, decode.loss_ce: 0.2092, decode.acc_seg: 92.6587, aux.loss_ce: 0.1020, aux.acc_seg: 92.0262, loss: 0.3112 2023-02-24 01:11:01,147 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 1 day, 18:09:28, time: 0.944, data_time: 0.015, memory: 24831, decode.loss_ce: 0.2090, decode.acc_seg: 92.5102, aux.loss_ce: 0.1029, aux.acc_seg: 91.8413, loss: 0.3118 2023-02-24 01:11:48,719 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 1 day, 18:08:00, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2038, decode.acc_seg: 92.6280, aux.loss_ce: 0.0992, aux.acc_seg: 92.0489, loss: 0.3030 2023-02-24 01:12:36,742 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 1 day, 18:06:59, time: 0.961, data_time: 0.020, memory: 24831, decode.loss_ce: 0.2009, decode.acc_seg: 92.8792, aux.loss_ce: 0.0976, aux.acc_seg: 92.2622, loss: 0.2985 2023-02-24 01:13:27,427 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 01:13:27,427 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 1 day, 18:08:16, time: 1.013, data_time: 0.076, memory: 24831, decode.loss_ce: 0.2219, decode.acc_seg: 92.1518, aux.loss_ce: 0.1043, aux.acc_seg: 91.7361, loss: 0.3262 2023-02-24 01:14:14,665 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 1 day, 18:06:34, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2010, decode.acc_seg: 92.8969, aux.loss_ce: 0.0957, aux.acc_seg: 92.4614, loss: 0.2967 2023-02-24 01:15:01,726 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 1 day, 18:04:43, time: 0.941, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2099, decode.acc_seg: 92.4167, aux.loss_ce: 0.0982, aux.acc_seg: 92.0896, loss: 0.3081 2023-02-24 01:15:49,344 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 1 day, 18:03:21, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2007, decode.acc_seg: 92.7170, aux.loss_ce: 0.0948, aux.acc_seg: 92.3033, loss: 0.2955 2023-02-24 01:16:39,967 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 1 day, 18:04:27, time: 1.012, data_time: 0.063, memory: 24831, decode.loss_ce: 0.2143, decode.acc_seg: 92.3981, aux.loss_ce: 0.1000, aux.acc_seg: 92.0311, loss: 0.3143 2023-02-24 01:17:27,098 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 1 day, 18:02:44, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1928, decode.acc_seg: 93.1477, aux.loss_ce: 0.0903, aux.acc_seg: 92.6784, loss: 0.2831 2023-02-24 01:18:14,438 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 1 day, 18:01:11, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2303, decode.acc_seg: 91.8839, aux.loss_ce: 0.1032, aux.acc_seg: 91.6359, loss: 0.3335 2023-02-24 01:19:04,402 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 1 day, 18:01:42, time: 0.999, data_time: 0.068, memory: 24831, decode.loss_ce: 0.2041, decode.acc_seg: 92.7647, aux.loss_ce: 0.0938, aux.acc_seg: 92.3781, loss: 0.2979 2023-02-24 01:19:51,591 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 1 day, 18:00:03, time: 0.944, data_time: 0.014, memory: 24831, decode.loss_ce: 0.2069, decode.acc_seg: 92.6194, aux.loss_ce: 0.0937, aux.acc_seg: 92.2909, loss: 0.3006 2023-02-24 01:20:38,630 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 1 day, 17:58:19, time: 0.941, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1916, decode.acc_seg: 93.2080, aux.loss_ce: 0.0892, aux.acc_seg: 92.7946, loss: 0.2808 2023-02-24 01:21:25,961 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 1 day, 17:56:49, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2002, decode.acc_seg: 92.9146, aux.loss_ce: 0.0932, aux.acc_seg: 92.4921, loss: 0.2934 2023-02-24 01:22:15,980 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 1 day, 17:57:19, time: 1.000, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1889, decode.acc_seg: 93.2824, aux.loss_ce: 0.0894, aux.acc_seg: 92.7323, loss: 0.2783 2023-02-24 01:23:02,964 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 1 day, 17:55:35, time: 0.940, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1998, decode.acc_seg: 92.8934, aux.loss_ce: 0.0925, aux.acc_seg: 92.4185, loss: 0.2923 2023-02-24 01:23:50,086 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 1 day, 17:53:57, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1905, decode.acc_seg: 93.1920, aux.loss_ce: 0.0907, aux.acc_seg: 92.5666, loss: 0.2812 2023-02-24 01:24:37,709 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 1 day, 17:52:44, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1990, decode.acc_seg: 92.7989, aux.loss_ce: 0.0922, aux.acc_seg: 92.3729, loss: 0.2912 2023-02-24 01:25:29,045 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 1 day, 17:54:05, time: 1.027, data_time: 0.086, memory: 24831, decode.loss_ce: 0.1861, decode.acc_seg: 93.3820, aux.loss_ce: 0.0867, aux.acc_seg: 92.9078, loss: 0.2728 2023-02-24 01:26:17,024 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 1 day, 17:53:05, time: 0.960, data_time: 0.024, memory: 24831, decode.loss_ce: 0.1865, decode.acc_seg: 93.3135, aux.loss_ce: 0.0874, aux.acc_seg: 92.8205, loss: 0.2739 2023-02-24 01:27:04,078 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 1 day, 17:51:27, time: 0.941, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1984, decode.acc_seg: 92.8716, aux.loss_ce: 0.0884, aux.acc_seg: 92.6343, loss: 0.2868 2023-02-24 01:27:51,991 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 1 day, 17:50:25, time: 0.958, data_time: 0.028, memory: 24831, decode.loss_ce: 0.2045, decode.acc_seg: 92.7437, aux.loss_ce: 0.0912, aux.acc_seg: 92.3882, loss: 0.2958 2023-02-24 01:28:42,423 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 1 day, 17:51:04, time: 1.009, data_time: 0.078, memory: 24831, decode.loss_ce: 0.2036, decode.acc_seg: 92.6821, aux.loss_ce: 0.0922, aux.acc_seg: 92.3189, loss: 0.2958 2023-02-24 01:29:29,559 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 01:29:29,560 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 1 day, 17:49:31, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1959, decode.acc_seg: 93.1051, aux.loss_ce: 0.0876, aux.acc_seg: 92.7918, loss: 0.2836 2023-02-24 01:30:16,962 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 1 day, 17:48:09, time: 0.948, data_time: 0.015, memory: 24831, decode.loss_ce: 0.2031, decode.acc_seg: 92.6551, aux.loss_ce: 0.0924, aux.acc_seg: 92.2271, loss: 0.2956 2023-02-24 01:31:08,151 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 1 day, 17:49:12, time: 1.024, data_time: 0.083, memory: 24831, decode.loss_ce: 0.1992, decode.acc_seg: 92.9308, aux.loss_ce: 0.0920, aux.acc_seg: 92.5288, loss: 0.2912 2023-02-24 01:31:55,495 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 1 day, 17:47:49, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1914, decode.acc_seg: 93.0556, aux.loss_ce: 0.0860, aux.acc_seg: 92.7329, loss: 0.2774 2023-02-24 01:32:42,732 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 1 day, 17:46:23, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.2029, decode.acc_seg: 92.7416, aux.loss_ce: 0.0884, aux.acc_seg: 92.5599, loss: 0.2913 2023-02-24 01:33:29,832 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 1 day, 17:44:52, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1796, decode.acc_seg: 93.5194, aux.loss_ce: 0.0819, aux.acc_seg: 93.0882, loss: 0.2615 2023-02-24 01:34:20,976 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 1 day, 17:45:48, time: 1.023, data_time: 0.072, memory: 24831, decode.loss_ce: 0.1907, decode.acc_seg: 93.2969, aux.loss_ce: 0.0858, aux.acc_seg: 92.8650, loss: 0.2766 2023-02-24 01:35:08,021 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 1 day, 17:44:16, time: 0.941, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1939, decode.acc_seg: 93.0774, aux.loss_ce: 0.0856, aux.acc_seg: 92.8165, loss: 0.2796 2023-02-24 01:35:55,099 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 1 day, 17:42:46, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.2042, decode.acc_seg: 92.8212, aux.loss_ce: 0.0891, aux.acc_seg: 92.5789, loss: 0.2933 2023-02-24 01:36:42,385 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 1 day, 17:41:23, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1950, decode.acc_seg: 93.0805, aux.loss_ce: 0.0871, aux.acc_seg: 92.6900, loss: 0.2821 2023-02-24 01:37:32,596 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 1 day, 17:41:43, time: 1.004, data_time: 0.063, memory: 24831, decode.loss_ce: 0.1853, decode.acc_seg: 93.4376, aux.loss_ce: 0.0842, aux.acc_seg: 92.9453, loss: 0.2694 2023-02-24 01:38:19,744 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 1 day, 17:40:17, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1859, decode.acc_seg: 93.3273, aux.loss_ce: 0.0837, aux.acc_seg: 92.8799, loss: 0.2697 2023-02-24 01:39:07,773 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 1 day, 17:39:21, time: 0.961, data_time: 0.028, memory: 24831, decode.loss_ce: 0.1879, decode.acc_seg: 93.2834, aux.loss_ce: 0.0842, aux.acc_seg: 92.8474, loss: 0.2721 2023-02-24 01:39:54,902 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 1 day, 17:37:55, time: 0.942, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1984, decode.acc_seg: 93.0308, aux.loss_ce: 0.0861, aux.acc_seg: 92.8212, loss: 0.2845 2023-02-24 01:40:45,797 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 1 day, 17:38:34, time: 1.018, data_time: 0.079, memory: 24831, decode.loss_ce: 0.1834, decode.acc_seg: 93.4676, aux.loss_ce: 0.0824, aux.acc_seg: 93.0513, loss: 0.2658 2023-02-24 01:41:32,965 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 1 day, 17:37:11, time: 0.944, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1781, decode.acc_seg: 93.5564, aux.loss_ce: 0.0812, aux.acc_seg: 93.0745, loss: 0.2593 2023-02-24 01:42:20,168 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 1 day, 17:35:48, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1741, decode.acc_seg: 93.7015, aux.loss_ce: 0.0799, aux.acc_seg: 93.2047, loss: 0.2540 2023-02-24 01:43:10,251 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 1 day, 17:35:59, time: 1.002, data_time: 0.070, memory: 24831, decode.loss_ce: 0.1801, decode.acc_seg: 93.5792, aux.loss_ce: 0.0817, aux.acc_seg: 93.0936, loss: 0.2618 2023-02-24 01:43:57,482 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 1 day, 17:34:38, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1863, decode.acc_seg: 93.3006, aux.loss_ce: 0.0830, aux.acc_seg: 92.9602, loss: 0.2693 2023-02-24 01:44:44,466 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 1 day, 17:33:10, time: 0.940, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1813, decode.acc_seg: 93.5628, aux.loss_ce: 0.0813, aux.acc_seg: 93.1210, loss: 0.2626 2023-02-24 01:45:32,015 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 01:45:32,015 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 1 day, 17:32:00, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1796, decode.acc_seg: 93.5951, aux.loss_ce: 0.0801, aux.acc_seg: 93.2351, loss: 0.2597 2023-02-24 01:46:23,470 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 1 day, 17:32:51, time: 1.029, data_time: 0.088, memory: 24831, decode.loss_ce: 0.1846, decode.acc_seg: 93.4531, aux.loss_ce: 0.0814, aux.acc_seg: 93.0643, loss: 0.2661 2023-02-24 01:47:10,957 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 1 day, 17:31:39, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1810, decode.acc_seg: 93.6596, aux.loss_ce: 0.0799, aux.acc_seg: 93.2870, loss: 0.2609 2023-02-24 01:47:58,169 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 1 day, 17:30:19, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1765, decode.acc_seg: 93.5617, aux.loss_ce: 0.0794, aux.acc_seg: 93.1638, loss: 0.2559 2023-02-24 01:48:45,371 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 1 day, 17:29:00, time: 0.944, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1821, decode.acc_seg: 93.4488, aux.loss_ce: 0.0810, aux.acc_seg: 93.0866, loss: 0.2631 2023-02-24 01:49:36,246 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 1 day, 17:29:29, time: 1.017, data_time: 0.081, memory: 24831, decode.loss_ce: 0.1795, decode.acc_seg: 93.5247, aux.loss_ce: 0.0804, aux.acc_seg: 93.0727, loss: 0.2599 2023-02-24 01:50:23,409 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 1 day, 17:28:09, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1781, decode.acc_seg: 93.6448, aux.loss_ce: 0.0773, aux.acc_seg: 93.3673, loss: 0.2554 2023-02-24 01:51:10,741 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 1 day, 17:26:54, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1705, decode.acc_seg: 93.8300, aux.loss_ce: 0.0771, aux.acc_seg: 93.3724, loss: 0.2476 2023-02-24 01:52:01,585 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 1 day, 17:27:21, time: 1.017, data_time: 0.083, memory: 24831, decode.loss_ce: 0.1735, decode.acc_seg: 93.7150, aux.loss_ce: 0.0776, aux.acc_seg: 93.2668, loss: 0.2512 2023-02-24 01:52:48,858 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 1 day, 17:26:04, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1707, decode.acc_seg: 93.7941, aux.loss_ce: 0.0760, aux.acc_seg: 93.4201, loss: 0.2467 2023-02-24 01:53:36,678 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 1 day, 17:25:03, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1637, decode.acc_seg: 93.9402, aux.loss_ce: 0.0748, aux.acc_seg: 93.4514, loss: 0.2385 2023-02-24 01:54:23,884 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 1 day, 17:23:46, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1649, decode.acc_seg: 94.0598, aux.loss_ce: 0.0740, aux.acc_seg: 93.5913, loss: 0.2389 2023-02-24 01:55:14,838 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 1 day, 17:24:13, time: 1.019, data_time: 0.085, memory: 24831, decode.loss_ce: 0.1756, decode.acc_seg: 93.5669, aux.loss_ce: 0.0777, aux.acc_seg: 93.2002, loss: 0.2533 2023-02-24 01:56:02,562 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 1 day, 17:23:09, time: 0.954, data_time: 0.023, memory: 24831, decode.loss_ce: 0.1747, decode.acc_seg: 93.7604, aux.loss_ce: 0.0769, aux.acc_seg: 93.3718, loss: 0.2516 2023-02-24 01:56:49,775 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 1 day, 17:21:53, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1666, decode.acc_seg: 93.9767, aux.loss_ce: 0.0755, aux.acc_seg: 93.4804, loss: 0.2421 2023-02-24 01:57:37,124 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 1 day, 17:20:40, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1789, decode.acc_seg: 93.6220, aux.loss_ce: 0.0787, aux.acc_seg: 93.2301, loss: 0.2576 2023-02-24 01:58:28,554 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 1 day, 17:21:16, time: 1.028, data_time: 0.089, memory: 24831, decode.loss_ce: 0.1756, decode.acc_seg: 93.6796, aux.loss_ce: 0.0773, aux.acc_seg: 93.3451, loss: 0.2530 2023-02-24 01:59:15,680 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 1 day, 17:19:58, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1722, decode.acc_seg: 93.7622, aux.loss_ce: 0.0758, aux.acc_seg: 93.4163, loss: 0.2480 2023-02-24 02:00:03,177 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 1 day, 17:18:50, time: 0.950, data_time: 0.015, memory: 24831, decode.loss_ce: 0.1772, decode.acc_seg: 93.6330, aux.loss_ce: 0.0770, aux.acc_seg: 93.3221, loss: 0.2542 2023-02-24 02:00:50,774 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 1 day, 17:17:44, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1778, decode.acc_seg: 93.7168, aux.loss_ce: 0.0792, aux.acc_seg: 93.2716, loss: 0.2570 2023-02-24 02:01:42,190 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:01:42,190 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 1 day, 17:18:17, time: 1.028, data_time: 0.086, memory: 24831, decode.loss_ce: 0.1681, decode.acc_seg: 93.9103, aux.loss_ce: 0.0759, aux.acc_seg: 93.4334, loss: 0.2440 2023-02-24 02:02:29,347 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 1 day, 17:17:00, time: 0.943, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1652, decode.acc_seg: 94.0150, aux.loss_ce: 0.0747, aux.acc_seg: 93.5474, loss: 0.2399 2023-02-24 02:03:16,836 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 1 day, 17:15:52, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1683, decode.acc_seg: 93.9974, aux.loss_ce: 0.0762, aux.acc_seg: 93.5504, loss: 0.2445 2023-02-24 02:04:08,132 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 1 day, 17:16:20, time: 1.026, data_time: 0.091, memory: 24831, decode.loss_ce: 0.1730, decode.acc_seg: 93.7735, aux.loss_ce: 0.0724, aux.acc_seg: 93.6140, loss: 0.2454 2023-02-24 02:04:55,380 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 1 day, 17:15:06, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1708, decode.acc_seg: 93.7165, aux.loss_ce: 0.0748, aux.acc_seg: 93.4575, loss: 0.2455 2023-02-24 02:05:43,292 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 1 day, 17:14:09, time: 0.958, data_time: 0.025, memory: 24831, decode.loss_ce: 0.1664, decode.acc_seg: 93.9596, aux.loss_ce: 0.0745, aux.acc_seg: 93.5153, loss: 0.2409 2023-02-24 02:06:30,371 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 1 day, 17:12:51, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1779, decode.acc_seg: 93.6572, aux.loss_ce: 0.0776, aux.acc_seg: 93.3864, loss: 0.2555 2023-02-24 02:07:21,457 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 1 day, 17:13:11, time: 1.021, data_time: 0.089, memory: 24831, decode.loss_ce: 0.1643, decode.acc_seg: 93.9727, aux.loss_ce: 0.0742, aux.acc_seg: 93.4891, loss: 0.2385 2023-02-24 02:08:09,046 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 1 day, 17:12:06, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1777, decode.acc_seg: 93.6919, aux.loss_ce: 0.0786, aux.acc_seg: 93.2499, loss: 0.2563 2023-02-24 02:08:56,499 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 1 day, 17:10:58, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1713, decode.acc_seg: 93.7718, aux.loss_ce: 0.0759, aux.acc_seg: 93.3662, loss: 0.2472 2023-02-24 02:09:43,648 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 1 day, 17:09:43, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1668, decode.acc_seg: 93.9146, aux.loss_ce: 0.0738, aux.acc_seg: 93.4685, loss: 0.2405 2023-02-24 02:10:34,440 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 1 day, 17:09:54, time: 1.016, data_time: 0.082, memory: 24831, decode.loss_ce: 0.1703, decode.acc_seg: 93.9650, aux.loss_ce: 0.0743, aux.acc_seg: 93.5437, loss: 0.2446 2023-02-24 02:11:21,720 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 1 day, 17:08:42, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1481, decode.acc_seg: 94.6431, aux.loss_ce: 0.0666, aux.acc_seg: 94.1469, loss: 0.2148 2023-02-24 02:12:09,107 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 1 day, 17:07:33, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1739, decode.acc_seg: 93.7925, aux.loss_ce: 0.0762, aux.acc_seg: 93.4484, loss: 0.2501 2023-02-24 02:13:00,522 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 1 day, 17:07:57, time: 1.028, data_time: 0.094, memory: 24831, decode.loss_ce: 0.1607, decode.acc_seg: 94.1967, aux.loss_ce: 0.0728, aux.acc_seg: 93.6895, loss: 0.2336 2023-02-24 02:13:48,691 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 1 day, 17:07:05, time: 0.963, data_time: 0.029, memory: 24831, decode.loss_ce: 0.1638, decode.acc_seg: 93.9959, aux.loss_ce: 0.0723, aux.acc_seg: 93.6145, loss: 0.2361 2023-02-24 02:14:36,053 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 1 day, 17:05:56, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1604, decode.acc_seg: 94.1475, aux.loss_ce: 0.0718, aux.acc_seg: 93.6777, loss: 0.2322 2023-02-24 02:15:23,729 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 1 day, 17:04:54, time: 0.953, data_time: 0.019, memory: 24831, decode.loss_ce: 0.1724, decode.acc_seg: 93.8003, aux.loss_ce: 0.0755, aux.acc_seg: 93.3876, loss: 0.2479 2023-02-24 02:16:14,294 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 1 day, 17:04:56, time: 1.011, data_time: 0.073, memory: 24831, decode.loss_ce: 0.1599, decode.acc_seg: 94.0719, aux.loss_ce: 0.0715, aux.acc_seg: 93.6266, loss: 0.2314 2023-02-24 02:17:01,474 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 1 day, 17:03:43, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1614, decode.acc_seg: 94.1443, aux.loss_ce: 0.0722, aux.acc_seg: 93.6607, loss: 0.2337 2023-02-24 02:17:49,107 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:17:49,107 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 1 day, 17:02:41, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1641, decode.acc_seg: 94.2007, aux.loss_ce: 0.0712, aux.acc_seg: 93.7659, loss: 0.2353 2023-02-24 02:18:37,069 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 1 day, 17:01:45, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1714, decode.acc_seg: 93.9401, aux.loss_ce: 0.0764, aux.acc_seg: 93.4128, loss: 0.2478 2023-02-24 02:19:27,847 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 1 day, 17:01:51, time: 1.016, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1791, decode.acc_seg: 93.6043, aux.loss_ce: 0.0782, aux.acc_seg: 93.1705, loss: 0.2573 2023-02-24 02:20:14,969 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 1 day, 17:00:37, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1653, decode.acc_seg: 93.9715, aux.loss_ce: 0.0725, aux.acc_seg: 93.5743, loss: 0.2378 2023-02-24 02:21:02,256 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 1 day, 16:59:28, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1652, decode.acc_seg: 93.9605, aux.loss_ce: 0.0728, aux.acc_seg: 93.6331, loss: 0.2379 2023-02-24 02:21:49,472 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 1 day, 16:58:17, time: 0.944, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1604, decode.acc_seg: 94.2456, aux.loss_ce: 0.0713, aux.acc_seg: 93.7922, loss: 0.2317 2023-02-24 02:22:41,411 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 1 day, 16:58:45, time: 1.039, data_time: 0.096, memory: 24831, decode.loss_ce: 0.1532, decode.acc_seg: 94.4214, aux.loss_ce: 0.0690, aux.acc_seg: 93.9342, loss: 0.2222 2023-02-24 02:23:29,158 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 1 day, 16:57:45, time: 0.955, data_time: 0.022, memory: 24831, decode.loss_ce: 0.1582, decode.acc_seg: 94.2911, aux.loss_ce: 0.0710, aux.acc_seg: 93.7908, loss: 0.2291 2023-02-24 02:24:16,577 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 1 day, 16:56:39, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1561, decode.acc_seg: 94.3245, aux.loss_ce: 0.0692, aux.acc_seg: 93.9152, loss: 0.2253 2023-02-24 02:25:07,073 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 1 day, 16:56:35, time: 1.010, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1577, decode.acc_seg: 94.1349, aux.loss_ce: 0.0702, aux.acc_seg: 93.6921, loss: 0.2278 2023-02-24 02:25:54,125 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 1 day, 16:55:21, time: 0.941, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1624, decode.acc_seg: 94.0668, aux.loss_ce: 0.0725, aux.acc_seg: 93.5838, loss: 0.2349 2023-02-24 02:26:41,223 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 1 day, 16:54:08, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1571, decode.acc_seg: 94.3273, aux.loss_ce: 0.0707, aux.acc_seg: 93.8618, loss: 0.2278 2023-02-24 02:27:28,859 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 1 day, 16:53:07, time: 0.953, data_time: 0.017, memory: 24831, decode.loss_ce: 0.1607, decode.acc_seg: 94.2256, aux.loss_ce: 0.0709, aux.acc_seg: 93.7890, loss: 0.2316 2023-02-24 02:28:19,482 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 1 day, 16:53:05, time: 1.012, data_time: 0.078, memory: 24831, decode.loss_ce: 0.1516, decode.acc_seg: 94.4753, aux.loss_ce: 0.0683, aux.acc_seg: 93.9588, loss: 0.2199 2023-02-24 02:29:07,121 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 1 day, 16:52:04, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1439, decode.acc_seg: 94.7385, aux.loss_ce: 0.0648, aux.acc_seg: 94.2569, loss: 0.2086 2023-02-24 02:29:54,469 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 1 day, 16:50:57, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1564, decode.acc_seg: 94.3585, aux.loss_ce: 0.0699, aux.acc_seg: 93.8771, loss: 0.2263 2023-02-24 02:30:41,774 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 1 day, 16:49:49, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1503, decode.acc_seg: 94.4463, aux.loss_ce: 0.0677, aux.acc_seg: 93.9779, loss: 0.2180 2023-02-24 02:31:32,969 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 1 day, 16:49:57, time: 1.024, data_time: 0.090, memory: 24831, decode.loss_ce: 0.1468, decode.acc_seg: 94.6140, aux.loss_ce: 0.0668, aux.acc_seg: 94.1584, loss: 0.2136 2023-02-24 02:32:20,138 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 1 day, 16:48:47, time: 0.943, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1462, decode.acc_seg: 94.5865, aux.loss_ce: 0.0667, aux.acc_seg: 94.0271, loss: 0.2128 2023-02-24 02:33:07,506 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 1 day, 16:47:41, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1420, decode.acc_seg: 94.7705, aux.loss_ce: 0.0648, aux.acc_seg: 94.2151, loss: 0.2068 2023-02-24 02:33:58,895 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:33:58,896 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 1 day, 16:47:51, time: 1.028, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1432, decode.acc_seg: 94.7131, aux.loss_ce: 0.0653, aux.acc_seg: 94.1597, loss: 0.2085 2023-02-24 02:34:46,344 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 1 day, 16:46:47, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1577, decode.acc_seg: 94.3018, aux.loss_ce: 0.0693, aux.acc_seg: 93.9091, loss: 0.2270 2023-02-24 02:35:34,063 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 1 day, 16:45:48, time: 0.954, data_time: 0.019, memory: 24831, decode.loss_ce: 0.1592, decode.acc_seg: 94.2303, aux.loss_ce: 0.0690, aux.acc_seg: 93.9219, loss: 0.2282 2023-02-24 02:36:21,312 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 1 day, 16:44:40, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1569, decode.acc_seg: 94.3198, aux.loss_ce: 0.0681, aux.acc_seg: 93.9305, loss: 0.2250 2023-02-24 02:37:12,983 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 1 day, 16:44:54, time: 1.033, data_time: 0.098, memory: 24831, decode.loss_ce: 0.1519, decode.acc_seg: 94.5000, aux.loss_ce: 0.0667, aux.acc_seg: 94.0763, loss: 0.2186 2023-02-24 02:38:00,167 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 1 day, 16:43:44, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1485, decode.acc_seg: 94.5295, aux.loss_ce: 0.0665, aux.acc_seg: 94.1067, loss: 0.2151 2023-02-24 02:38:47,482 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 1 day, 16:42:38, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1553, decode.acc_seg: 94.3208, aux.loss_ce: 0.0699, aux.acc_seg: 93.7709, loss: 0.2253 2023-02-24 02:39:34,738 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 1 day, 16:41:31, time: 0.945, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1435, decode.acc_seg: 94.7007, aux.loss_ce: 0.0648, aux.acc_seg: 94.2400, loss: 0.2083 2023-02-24 02:40:25,808 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 1 day, 16:41:32, time: 1.021, data_time: 0.087, memory: 24831, decode.loss_ce: 0.1424, decode.acc_seg: 94.7987, aux.loss_ce: 0.0633, aux.acc_seg: 94.3579, loss: 0.2058 2023-02-24 02:41:12,931 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 1 day, 16:40:23, time: 0.942, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1532, decode.acc_seg: 94.4876, aux.loss_ce: 0.0676, aux.acc_seg: 94.0590, loss: 0.2208 2023-02-24 02:42:00,432 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 1 day, 16:39:20, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1552, decode.acc_seg: 94.3078, aux.loss_ce: 0.0686, aux.acc_seg: 93.9318, loss: 0.2239 2023-02-24 02:42:47,764 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 1 day, 16:38:14, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1568, decode.acc_seg: 94.3455, aux.loss_ce: 0.0691, aux.acc_seg: 93.9323, loss: 0.2258 2023-02-24 02:43:39,203 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 1 day, 16:38:21, time: 1.029, data_time: 0.087, memory: 24831, decode.loss_ce: 0.1543, decode.acc_seg: 94.3833, aux.loss_ce: 0.0670, aux.acc_seg: 94.0087, loss: 0.2213 2023-02-24 02:44:26,679 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 1 day, 16:37:18, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1581, decode.acc_seg: 94.2830, aux.loss_ce: 0.0694, aux.acc_seg: 93.9110, loss: 0.2275 2023-02-24 02:45:14,233 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 1 day, 16:36:17, time: 0.951, data_time: 0.017, memory: 24831, decode.loss_ce: 0.1508, decode.acc_seg: 94.5693, aux.loss_ce: 0.0662, aux.acc_seg: 94.1543, loss: 0.2170 2023-02-24 02:46:05,318 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 1 day, 16:36:16, time: 1.021, data_time: 0.083, memory: 24831, decode.loss_ce: 0.1602, decode.acc_seg: 94.1394, aux.loss_ce: 0.0691, aux.acc_seg: 93.8480, loss: 0.2293 2023-02-24 02:46:52,776 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 1 day, 16:35:13, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1569, decode.acc_seg: 94.2993, aux.loss_ce: 0.0686, aux.acc_seg: 93.9183, loss: 0.2255 2023-02-24 02:47:40,316 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 1 day, 16:34:12, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1512, decode.acc_seg: 94.3582, aux.loss_ce: 0.0660, aux.acc_seg: 94.0340, loss: 0.2172 2023-02-24 02:48:27,662 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 1 day, 16:33:07, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1457, decode.acc_seg: 94.7038, aux.loss_ce: 0.0652, aux.acc_seg: 94.2596, loss: 0.2109 2023-02-24 02:49:18,527 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 1 day, 16:33:02, time: 1.018, data_time: 0.085, memory: 24831, decode.loss_ce: 0.1405, decode.acc_seg: 94.8788, aux.loss_ce: 0.0634, aux.acc_seg: 94.3639, loss: 0.2039 2023-02-24 02:50:05,898 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 02:50:05,899 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 1 day, 16:31:57, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1426, decode.acc_seg: 94.7740, aux.loss_ce: 0.0651, aux.acc_seg: 94.2176, loss: 0.2076 2023-02-24 02:50:53,202 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 1 day, 16:30:52, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1430, decode.acc_seg: 94.8222, aux.loss_ce: 0.0643, aux.acc_seg: 94.3177, loss: 0.2072 2023-02-24 02:51:40,617 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 1 day, 16:29:49, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1459, decode.acc_seg: 94.6641, aux.loss_ce: 0.0655, aux.acc_seg: 94.1325, loss: 0.2114 2023-02-24 02:52:31,655 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 1 day, 16:29:46, time: 1.021, data_time: 0.085, memory: 24831, decode.loss_ce: 0.1434, decode.acc_seg: 94.7186, aux.loss_ce: 0.0642, aux.acc_seg: 94.2303, loss: 0.2076 2023-02-24 02:53:19,569 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 1 day, 16:28:51, time: 0.958, data_time: 0.022, memory: 24831, decode.loss_ce: 0.1474, decode.acc_seg: 94.5465, aux.loss_ce: 0.0652, aux.acc_seg: 94.2025, loss: 0.2126 2023-02-24 02:54:07,061 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 1 day, 16:27:49, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1495, decode.acc_seg: 94.3906, aux.loss_ce: 0.0671, aux.acc_seg: 93.9066, loss: 0.2165 2023-02-24 02:54:54,502 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 1 day, 16:26:47, time: 0.949, data_time: 0.016, memory: 24831, decode.loss_ce: 0.1451, decode.acc_seg: 94.6638, aux.loss_ce: 0.0652, aux.acc_seg: 94.1853, loss: 0.2103 2023-02-24 02:55:45,498 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 1 day, 16:26:41, time: 1.020, data_time: 0.083, memory: 24831, decode.loss_ce: 0.1486, decode.acc_seg: 94.5831, aux.loss_ce: 0.0648, aux.acc_seg: 94.2282, loss: 0.2134 2023-02-24 02:56:32,749 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 1 day, 16:25:36, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1581, decode.acc_seg: 94.4542, aux.loss_ce: 0.0658, aux.acc_seg: 94.1336, loss: 0.2239 2023-02-24 02:57:20,165 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 1 day, 16:24:33, time: 0.948, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1469, decode.acc_seg: 94.6484, aux.loss_ce: 0.0651, aux.acc_seg: 94.2069, loss: 0.2120 2023-02-24 02:58:11,295 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 1 day, 16:24:30, time: 1.023, data_time: 0.085, memory: 24831, decode.loss_ce: 0.1466, decode.acc_seg: 94.6004, aux.loss_ce: 0.0654, aux.acc_seg: 94.1098, loss: 0.2120 2023-02-24 02:58:58,508 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 1 day, 16:23:24, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1525, decode.acc_seg: 94.4201, aux.loss_ce: 0.0675, aux.acc_seg: 93.9614, loss: 0.2200 2023-02-24 02:59:45,747 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 1 day, 16:22:18, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1402, decode.acc_seg: 94.7981, aux.loss_ce: 0.0634, aux.acc_seg: 94.2904, loss: 0.2036 2023-02-24 03:00:33,165 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 1 day, 16:21:16, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1397, decode.acc_seg: 94.8957, aux.loss_ce: 0.0635, aux.acc_seg: 94.3693, loss: 0.2032 2023-02-24 03:01:23,845 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 1 day, 16:21:04, time: 1.014, data_time: 0.078, memory: 24831, decode.loss_ce: 0.1466, decode.acc_seg: 94.5837, aux.loss_ce: 0.0659, aux.acc_seg: 94.0812, loss: 0.2125 2023-02-24 03:02:11,501 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 1 day, 16:20:05, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1447, decode.acc_seg: 94.6611, aux.loss_ce: 0.0655, aux.acc_seg: 94.1078, loss: 0.2102 2023-02-24 03:02:58,984 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 1 day, 16:19:04, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1399, decode.acc_seg: 94.8547, aux.loss_ce: 0.0638, aux.acc_seg: 94.2996, loss: 0.2037 2023-02-24 03:03:46,318 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 1 day, 16:18:01, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1589, decode.acc_seg: 94.2763, aux.loss_ce: 0.0678, aux.acc_seg: 94.0370, loss: 0.2267 2023-02-24 03:04:36,367 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 1 day, 16:17:39, time: 1.001, data_time: 0.065, memory: 24831, decode.loss_ce: 0.1410, decode.acc_seg: 94.8531, aux.loss_ce: 0.0618, aux.acc_seg: 94.5087, loss: 0.2028 2023-02-24 03:05:23,592 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 1 day, 16:16:34, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1370, decode.acc_seg: 94.9257, aux.loss_ce: 0.0619, aux.acc_seg: 94.4275, loss: 0.1988 2023-02-24 03:06:11,199 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:06:11,200 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 1 day, 16:15:35, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1382, decode.acc_seg: 94.8245, aux.loss_ce: 0.0624, aux.acc_seg: 94.3366, loss: 0.2006 2023-02-24 03:07:01,237 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 1 day, 16:15:13, time: 1.001, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1403, decode.acc_seg: 94.8490, aux.loss_ce: 0.0637, aux.acc_seg: 94.3257, loss: 0.2040 2023-02-24 03:07:49,193 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 1 day, 16:14:19, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1330, decode.acc_seg: 95.1096, aux.loss_ce: 0.0599, aux.acc_seg: 94.6063, loss: 0.1929 2023-02-24 03:08:36,845 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 1 day, 16:13:21, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1406, decode.acc_seg: 94.7225, aux.loss_ce: 0.0623, aux.acc_seg: 94.3322, loss: 0.2029 2023-02-24 03:09:24,708 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 1 day, 16:12:26, time: 0.957, data_time: 0.024, memory: 24831, decode.loss_ce: 0.1383, decode.acc_seg: 94.9080, aux.loss_ce: 0.0622, aux.acc_seg: 94.3886, loss: 0.2005 2023-02-24 03:10:14,872 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 1 day, 16:12:04, time: 1.003, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1476, decode.acc_seg: 94.6076, aux.loss_ce: 0.0660, aux.acc_seg: 94.0571, loss: 0.2136 2023-02-24 03:11:02,099 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 1 day, 16:11:00, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1500, decode.acc_seg: 94.5270, aux.loss_ce: 0.0649, aux.acc_seg: 94.1979, loss: 0.2149 2023-02-24 03:11:49,699 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 1 day, 16:10:02, time: 0.952, data_time: 0.019, memory: 24831, decode.loss_ce: 0.1485, decode.acc_seg: 94.5532, aux.loss_ce: 0.0665, aux.acc_seg: 94.0845, loss: 0.2149 2023-02-24 03:12:37,164 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 1 day, 16:09:01, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1394, decode.acc_seg: 94.8779, aux.loss_ce: 0.0631, aux.acc_seg: 94.3224, loss: 0.2025 2023-02-24 03:13:27,834 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 1 day, 16:08:47, time: 1.013, data_time: 0.075, memory: 24831, decode.loss_ce: 0.1395, decode.acc_seg: 94.7935, aux.loss_ce: 0.0635, aux.acc_seg: 94.2956, loss: 0.2029 2023-02-24 03:14:15,196 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 1 day, 16:07:45, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1445, decode.acc_seg: 94.8002, aux.loss_ce: 0.0636, aux.acc_seg: 94.3703, loss: 0.2081 2023-02-24 03:15:02,492 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 1 day, 16:06:42, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1439, decode.acc_seg: 94.7418, aux.loss_ce: 0.0631, aux.acc_seg: 94.3382, loss: 0.2070 2023-02-24 03:15:49,846 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 1 day, 16:05:40, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1426, decode.acc_seg: 94.7806, aux.loss_ce: 0.0640, aux.acc_seg: 94.2653, loss: 0.2066 2023-02-24 03:16:40,573 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 1 day, 16:05:25, time: 1.014, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1403, decode.acc_seg: 94.8493, aux.loss_ce: 0.0626, aux.acc_seg: 94.3480, loss: 0.2029 2023-02-24 03:17:27,968 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 1 day, 16:04:24, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1420, decode.acc_seg: 94.7662, aux.loss_ce: 0.0627, aux.acc_seg: 94.2782, loss: 0.2047 2023-02-24 03:18:15,601 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 1 day, 16:03:27, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1471, decode.acc_seg: 94.6563, aux.loss_ce: 0.0649, aux.acc_seg: 94.1737, loss: 0.2120 2023-02-24 03:19:05,861 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 1 day, 16:03:05, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1351, decode.acc_seg: 95.0589, aux.loss_ce: 0.0603, aux.acc_seg: 94.5694, loss: 0.1954 2023-02-24 03:19:53,746 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 1 day, 16:02:11, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1450, decode.acc_seg: 94.6666, aux.loss_ce: 0.0644, aux.acc_seg: 94.2418, loss: 0.2093 2023-02-24 03:20:41,060 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 1 day, 16:01:09, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1343, decode.acc_seg: 95.0489, aux.loss_ce: 0.0615, aux.acc_seg: 94.4386, loss: 0.1959 2023-02-24 03:21:28,706 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 1 day, 16:00:11, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1452, decode.acc_seg: 94.8399, aux.loss_ce: 0.0642, aux.acc_seg: 94.3578, loss: 0.2094 2023-02-24 03:22:18,947 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:22:18,947 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 1 day, 15:59:49, time: 1.005, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1416, decode.acc_seg: 94.8395, aux.loss_ce: 0.0625, aux.acc_seg: 94.4017, loss: 0.2040 2023-02-24 03:23:06,187 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 1 day, 15:58:47, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1498, decode.acc_seg: 94.6218, aux.loss_ce: 0.0660, aux.acc_seg: 94.1099, loss: 0.2158 2023-02-24 03:23:53,400 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 1 day, 15:57:43, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1382, decode.acc_seg: 94.9686, aux.loss_ce: 0.0614, aux.acc_seg: 94.5191, loss: 0.1996 2023-02-24 03:24:40,764 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 1 day, 15:56:43, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1366, decode.acc_seg: 94.9751, aux.loss_ce: 0.0620, aux.acc_seg: 94.4460, loss: 0.1987 2023-02-24 03:25:31,548 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 1 day, 15:56:27, time: 1.016, data_time: 0.080, memory: 24831, decode.loss_ce: 0.1360, decode.acc_seg: 94.9944, aux.loss_ce: 0.0616, aux.acc_seg: 94.4561, loss: 0.1976 2023-02-24 03:26:18,871 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 1 day, 15:55:26, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1290, decode.acc_seg: 95.1685, aux.loss_ce: 0.0592, aux.acc_seg: 94.6402, loss: 0.1882 2023-02-24 03:27:06,268 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 1 day, 15:54:25, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1515, decode.acc_seg: 94.6473, aux.loss_ce: 0.0656, aux.acc_seg: 94.1515, loss: 0.2170 2023-02-24 03:27:57,736 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 1 day, 15:54:18, time: 1.030, data_time: 0.087, memory: 24831, decode.loss_ce: 0.1428, decode.acc_seg: 94.6786, aux.loss_ce: 0.0619, aux.acc_seg: 94.4153, loss: 0.2048 2023-02-24 03:28:45,510 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 1 day, 15:53:23, time: 0.955, data_time: 0.017, memory: 24831, decode.loss_ce: 0.1381, decode.acc_seg: 94.9030, aux.loss_ce: 0.0627, aux.acc_seg: 94.3526, loss: 0.2008 2023-02-24 03:29:32,725 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 1 day, 15:52:20, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1382, decode.acc_seg: 94.9061, aux.loss_ce: 0.0623, aux.acc_seg: 94.3668, loss: 0.2005 2023-02-24 03:30:20,539 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 1 day, 15:51:26, time: 0.956, data_time: 0.017, memory: 24831, decode.loss_ce: 0.1343, decode.acc_seg: 95.0689, aux.loss_ce: 0.0609, aux.acc_seg: 94.5394, loss: 0.1952 2023-02-24 03:31:10,990 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 1 day, 15:51:05, time: 1.009, data_time: 0.075, memory: 24831, decode.loss_ce: 0.1302, decode.acc_seg: 95.1419, aux.loss_ce: 0.0589, aux.acc_seg: 94.6651, loss: 0.1892 2023-02-24 03:31:58,419 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 1 day, 15:50:05, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1332, decode.acc_seg: 95.0973, aux.loss_ce: 0.0606, aux.acc_seg: 94.5050, loss: 0.1938 2023-02-24 03:32:45,687 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 1 day, 15:49:03, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1342, decode.acc_seg: 95.1274, aux.loss_ce: 0.0593, aux.acc_seg: 94.7007, loss: 0.1936 2023-02-24 03:33:32,905 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 1 day, 15:48:01, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1355, decode.acc_seg: 95.0072, aux.loss_ce: 0.0606, aux.acc_seg: 94.5168, loss: 0.1961 2023-02-24 03:34:24,128 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 1 day, 15:47:50, time: 1.024, data_time: 0.091, memory: 24831, decode.loss_ce: 0.1357, decode.acc_seg: 95.0250, aux.loss_ce: 0.0608, aux.acc_seg: 94.5345, loss: 0.1965 2023-02-24 03:35:11,882 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 1 day, 15:46:54, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1254, decode.acc_seg: 95.3295, aux.loss_ce: 0.0576, aux.acc_seg: 94.7945, loss: 0.1829 2023-02-24 03:35:59,224 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 1 day, 15:45:54, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1391, decode.acc_seg: 94.9550, aux.loss_ce: 0.0617, aux.acc_seg: 94.4569, loss: 0.2008 2023-02-24 03:36:46,395 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 1 day, 15:44:51, time: 0.943, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1413, decode.acc_seg: 94.9831, aux.loss_ce: 0.0612, aux.acc_seg: 94.6078, loss: 0.2025 2023-02-24 03:37:37,495 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 1 day, 15:44:37, time: 1.022, data_time: 0.060, memory: 24831, decode.loss_ce: 0.1418, decode.acc_seg: 94.8017, aux.loss_ce: 0.0616, aux.acc_seg: 94.4046, loss: 0.2034 2023-02-24 03:38:25,748 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:38:25,748 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 1 day, 15:43:48, time: 0.965, data_time: 0.021, memory: 24831, decode.loss_ce: 0.1389, decode.acc_seg: 94.8608, aux.loss_ce: 0.0623, aux.acc_seg: 94.3190, loss: 0.2011 2023-02-24 03:39:13,336 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 1 day, 15:42:51, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1339, decode.acc_seg: 94.9837, aux.loss_ce: 0.0605, aux.acc_seg: 94.4911, loss: 0.1944 2023-02-24 03:40:03,809 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 1 day, 15:42:29, time: 1.009, data_time: 0.076, memory: 24831, decode.loss_ce: 0.1322, decode.acc_seg: 95.1222, aux.loss_ce: 0.0596, aux.acc_seg: 94.5892, loss: 0.1918 2023-02-24 03:40:51,300 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 1 day, 15:41:30, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1364, decode.acc_seg: 94.9606, aux.loss_ce: 0.0613, aux.acc_seg: 94.4056, loss: 0.1976 2023-02-24 03:41:38,761 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 1 day, 15:40:32, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1292, decode.acc_seg: 95.1443, aux.loss_ce: 0.0583, aux.acc_seg: 94.6649, loss: 0.1876 2023-02-24 03:42:26,111 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 1 day, 15:39:32, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1331, decode.acc_seg: 95.0757, aux.loss_ce: 0.0605, aux.acc_seg: 94.5335, loss: 0.1936 2023-02-24 03:43:17,283 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 1 day, 15:39:18, time: 1.023, data_time: 0.082, memory: 24831, decode.loss_ce: 0.1543, decode.acc_seg: 94.5940, aux.loss_ce: 0.0652, aux.acc_seg: 94.2825, loss: 0.2195 2023-02-24 03:44:04,769 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 1 day, 15:38:19, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1315, decode.acc_seg: 95.1032, aux.loss_ce: 0.0594, aux.acc_seg: 94.6227, loss: 0.1909 2023-02-24 03:44:52,351 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 1 day, 15:37:22, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1320, decode.acc_seg: 95.1334, aux.loss_ce: 0.0610, aux.acc_seg: 94.5468, loss: 0.1930 2023-02-24 03:45:39,873 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 1 day, 15:36:24, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1313, decode.acc_seg: 95.1395, aux.loss_ce: 0.0580, aux.acc_seg: 94.7547, loss: 0.1893 2023-02-24 03:46:30,402 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 1 day, 15:36:02, time: 1.011, data_time: 0.074, memory: 24831, decode.loss_ce: 0.1343, decode.acc_seg: 94.9688, aux.loss_ce: 0.0613, aux.acc_seg: 94.4134, loss: 0.1955 2023-02-24 03:47:17,698 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 1 day, 15:35:02, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1378, decode.acc_seg: 94.9205, aux.loss_ce: 0.0620, aux.acc_seg: 94.4066, loss: 0.1998 2023-02-24 03:48:06,135 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 1 day, 15:34:15, time: 0.969, data_time: 0.023, memory: 24831, decode.loss_ce: 0.1400, decode.acc_seg: 94.9501, aux.loss_ce: 0.0612, aux.acc_seg: 94.5074, loss: 0.2012 2023-02-24 03:48:56,602 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 1 day, 15:33:51, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1282, decode.acc_seg: 95.1359, aux.loss_ce: 0.0580, aux.acc_seg: 94.6424, loss: 0.1862 2023-02-24 03:49:43,968 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 1 day, 15:32:51, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1330, decode.acc_seg: 95.1358, aux.loss_ce: 0.0612, aux.acc_seg: 94.5042, loss: 0.1942 2023-02-24 03:50:31,173 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 1 day, 15:31:50, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1264, decode.acc_seg: 95.3208, aux.loss_ce: 0.0578, aux.acc_seg: 94.7433, loss: 0.1842 2023-02-24 03:51:18,342 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 1 day, 15:30:49, time: 0.943, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1296, decode.acc_seg: 95.2239, aux.loss_ce: 0.0595, aux.acc_seg: 94.6190, loss: 0.1891 2023-02-24 03:52:09,337 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 1 day, 15:30:31, time: 1.020, data_time: 0.081, memory: 24831, decode.loss_ce: 0.1334, decode.acc_seg: 95.0313, aux.loss_ce: 0.0605, aux.acc_seg: 94.4420, loss: 0.1939 2023-02-24 03:52:56,681 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 1 day, 15:29:32, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1295, decode.acc_seg: 95.1734, aux.loss_ce: 0.0586, aux.acc_seg: 94.6113, loss: 0.1881 2023-02-24 03:53:44,167 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 1 day, 15:28:34, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1334, decode.acc_seg: 95.0791, aux.loss_ce: 0.0600, aux.acc_seg: 94.5854, loss: 0.1934 2023-02-24 03:54:31,659 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 03:54:31,659 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 1 day, 15:27:36, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1254, decode.acc_seg: 95.2934, aux.loss_ce: 0.0579, aux.acc_seg: 94.7038, loss: 0.1833 2023-02-24 03:55:22,329 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 1 day, 15:27:14, time: 1.013, data_time: 0.076, memory: 24831, decode.loss_ce: 0.1236, decode.acc_seg: 95.3617, aux.loss_ce: 0.0567, aux.acc_seg: 94.7954, loss: 0.1803 2023-02-24 03:56:09,671 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 1 day, 15:26:15, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1314, decode.acc_seg: 95.0533, aux.loss_ce: 0.0596, aux.acc_seg: 94.5446, loss: 0.1910 2023-02-24 03:56:57,029 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 1 day, 15:25:16, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1381, decode.acc_seg: 94.9419, aux.loss_ce: 0.0605, aux.acc_seg: 94.4958, loss: 0.1985 2023-02-24 03:57:44,263 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 1 day, 15:24:15, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1255, decode.acc_seg: 95.3309, aux.loss_ce: 0.0567, aux.acc_seg: 94.8247, loss: 0.1822 2023-02-24 03:58:34,465 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 1 day, 15:23:48, time: 1.004, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1268, decode.acc_seg: 95.2821, aux.loss_ce: 0.0583, aux.acc_seg: 94.6264, loss: 0.1851 2023-02-24 03:59:21,900 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 1 day, 15:22:50, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1228, decode.acc_seg: 95.4349, aux.loss_ce: 0.0566, aux.acc_seg: 94.8146, loss: 0.1794 2023-02-24 04:00:09,375 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 1 day, 15:21:52, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1238, decode.acc_seg: 95.4548, aux.loss_ce: 0.0570, aux.acc_seg: 94.8806, loss: 0.1808 2023-02-24 04:00:59,688 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 1 day, 15:21:26, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.1253, decode.acc_seg: 95.3096, aux.loss_ce: 0.0562, aux.acc_seg: 94.8296, loss: 0.1815 2023-02-24 04:01:47,316 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 1 day, 15:20:30, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1319, decode.acc_seg: 95.2481, aux.loss_ce: 0.0596, aux.acc_seg: 94.6608, loss: 0.1915 2023-02-24 04:02:34,644 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 1 day, 15:19:31, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1318, decode.acc_seg: 95.0825, aux.loss_ce: 0.0594, aux.acc_seg: 94.5804, loss: 0.1912 2023-02-24 04:03:21,943 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 1 day, 15:18:31, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1298, decode.acc_seg: 95.2206, aux.loss_ce: 0.0598, aux.acc_seg: 94.5941, loss: 0.1896 2023-02-24 04:04:12,417 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 1 day, 15:18:06, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1210, decode.acc_seg: 95.4615, aux.loss_ce: 0.0559, aux.acc_seg: 94.8905, loss: 0.1769 2023-02-24 04:04:59,791 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 1 day, 15:17:08, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1337, decode.acc_seg: 95.0893, aux.loss_ce: 0.0601, aux.acc_seg: 94.5677, loss: 0.1938 2023-02-24 04:05:47,448 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 1 day, 15:16:12, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1333, decode.acc_seg: 94.9886, aux.loss_ce: 0.0610, aux.acc_seg: 94.4265, loss: 0.1943 2023-02-24 04:06:34,835 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 1 day, 15:15:14, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1250, decode.acc_seg: 95.2974, aux.loss_ce: 0.0574, aux.acc_seg: 94.7241, loss: 0.1823 2023-02-24 04:07:25,027 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 1 day, 15:14:46, time: 1.004, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1310, decode.acc_seg: 95.1486, aux.loss_ce: 0.0583, aux.acc_seg: 94.7045, loss: 0.1893 2023-02-24 04:08:12,395 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 1 day, 15:13:47, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1266, decode.acc_seg: 95.2870, aux.loss_ce: 0.0585, aux.acc_seg: 94.6497, loss: 0.1851 2023-02-24 04:09:00,004 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 1 day, 15:12:52, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1337, decode.acc_seg: 95.1290, aux.loss_ce: 0.0604, aux.acc_seg: 94.6679, loss: 0.1941 2023-02-24 04:09:47,320 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 1 day, 15:11:53, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1234, decode.acc_seg: 95.4290, aux.loss_ce: 0.0570, aux.acc_seg: 94.8301, loss: 0.1804 2023-02-24 04:10:37,619 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:10:37,619 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 1 day, 15:11:25, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.1233, decode.acc_seg: 95.3715, aux.loss_ce: 0.0577, aux.acc_seg: 94.7149, loss: 0.1810 2023-02-24 04:11:24,915 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 1 day, 15:10:26, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1240, decode.acc_seg: 95.3956, aux.loss_ce: 0.0564, aux.acc_seg: 94.8054, loss: 0.1804 2023-02-24 04:12:12,367 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 1 day, 15:09:29, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1257, decode.acc_seg: 95.3249, aux.loss_ce: 0.0571, aux.acc_seg: 94.7917, loss: 0.1829 2023-02-24 04:13:03,272 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 1 day, 15:09:07, time: 1.018, data_time: 0.078, memory: 24831, decode.loss_ce: 0.1220, decode.acc_seg: 95.5070, aux.loss_ce: 0.0560, aux.acc_seg: 94.9550, loss: 0.1780 2023-02-24 04:13:51,267 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 1 day, 15:08:16, time: 0.960, data_time: 0.021, memory: 24831, decode.loss_ce: 0.1216, decode.acc_seg: 95.4918, aux.loss_ce: 0.0548, aux.acc_seg: 95.0254, loss: 0.1764 2023-02-24 04:14:38,665 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 1 day, 15:07:18, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1254, decode.acc_seg: 95.3614, aux.loss_ce: 0.0567, aux.acc_seg: 94.7890, loss: 0.1821 2023-02-24 04:15:26,158 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 1 day, 15:06:22, time: 0.950, data_time: 0.014, memory: 24831, decode.loss_ce: 0.1313, decode.acc_seg: 95.1565, aux.loss_ce: 0.0594, aux.acc_seg: 94.6686, loss: 0.1907 2023-02-24 04:16:16,633 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 1 day, 15:05:55, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1245, decode.acc_seg: 95.4054, aux.loss_ce: 0.0592, aux.acc_seg: 94.6583, loss: 0.1837 2023-02-24 04:17:04,122 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 1 day, 15:04:58, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1250, decode.acc_seg: 95.4166, aux.loss_ce: 0.0572, aux.acc_seg: 94.7909, loss: 0.1822 2023-02-24 04:17:51,496 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 1 day, 15:04:01, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1188, decode.acc_seg: 95.5977, aux.loss_ce: 0.0558, aux.acc_seg: 94.9551, loss: 0.1746 2023-02-24 04:18:38,877 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 1 day, 15:03:03, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1161, decode.acc_seg: 95.6515, aux.loss_ce: 0.0554, aux.acc_seg: 94.9032, loss: 0.1716 2023-02-24 04:19:29,361 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 1 day, 15:02:36, time: 1.010, data_time: 0.071, memory: 24831, decode.loss_ce: 0.1213, decode.acc_seg: 95.5082, aux.loss_ce: 0.0566, aux.acc_seg: 94.8726, loss: 0.1779 2023-02-24 04:20:17,080 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 1 day, 15:01:42, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1156, decode.acc_seg: 95.7006, aux.loss_ce: 0.0553, aux.acc_seg: 94.9511, loss: 0.1709 2023-02-24 04:21:04,522 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 1 day, 15:00:45, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1248, decode.acc_seg: 95.3134, aux.loss_ce: 0.0584, aux.acc_seg: 94.6414, loss: 0.1832 2023-02-24 04:21:55,219 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 1 day, 15:00:20, time: 1.014, data_time: 0.071, memory: 24831, decode.loss_ce: 0.1228, decode.acc_seg: 95.4437, aux.loss_ce: 0.0562, aux.acc_seg: 94.8928, loss: 0.1790 2023-02-24 04:22:42,438 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 1 day, 14:59:21, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1138, decode.acc_seg: 95.7201, aux.loss_ce: 0.0533, aux.acc_seg: 95.0787, loss: 0.1671 2023-02-24 04:23:29,807 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 1 day, 14:58:24, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1243, decode.acc_seg: 95.3032, aux.loss_ce: 0.0582, aux.acc_seg: 94.6401, loss: 0.1825 2023-02-24 04:24:17,159 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 1 day, 14:57:26, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1212, decode.acc_seg: 95.4865, aux.loss_ce: 0.0564, aux.acc_seg: 94.8949, loss: 0.1776 2023-02-24 04:25:07,849 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 1 day, 14:57:00, time: 1.014, data_time: 0.077, memory: 24831, decode.loss_ce: 0.1195, decode.acc_seg: 95.5418, aux.loss_ce: 0.0559, aux.acc_seg: 94.8592, loss: 0.1754 2023-02-24 04:25:55,263 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 1 day, 14:56:04, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1153, decode.acc_seg: 95.6721, aux.loss_ce: 0.0546, aux.acc_seg: 94.9519, loss: 0.1700 2023-02-24 04:26:42,715 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:26:42,716 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 1 day, 14:55:07, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1161, decode.acc_seg: 95.6287, aux.loss_ce: 0.0550, aux.acc_seg: 94.9216, loss: 0.1711 2023-02-24 04:27:30,139 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 1 day, 14:54:10, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1168, decode.acc_seg: 95.6066, aux.loss_ce: 0.0556, aux.acc_seg: 94.8597, loss: 0.1724 2023-02-24 04:28:20,691 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 1 day, 14:53:43, time: 1.011, data_time: 0.065, memory: 24831, decode.loss_ce: 0.1201, decode.acc_seg: 95.4931, aux.loss_ce: 0.0583, aux.acc_seg: 94.5696, loss: 0.1785 2023-02-24 04:29:08,034 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 1 day, 14:52:46, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1270, decode.acc_seg: 95.2755, aux.loss_ce: 0.0574, aux.acc_seg: 94.7435, loss: 0.1845 2023-02-24 04:29:55,338 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 1 day, 14:51:48, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1178, decode.acc_seg: 95.6391, aux.loss_ce: 0.0557, aux.acc_seg: 94.9032, loss: 0.1736 2023-02-24 04:30:42,642 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 1 day, 14:50:50, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1277, decode.acc_seg: 95.3298, aux.loss_ce: 0.0580, aux.acc_seg: 94.7442, loss: 0.1857 2023-02-24 04:31:33,030 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 1 day, 14:50:21, time: 1.008, data_time: 0.070, memory: 24831, decode.loss_ce: 0.1232, decode.acc_seg: 95.4331, aux.loss_ce: 0.0568, aux.acc_seg: 94.8428, loss: 0.1800 2023-02-24 04:32:20,519 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 1 day, 14:49:25, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1278, decode.acc_seg: 95.2520, aux.loss_ce: 0.0586, aux.acc_seg: 94.6052, loss: 0.1864 2023-02-24 04:33:07,896 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 1 day, 14:48:28, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1167, decode.acc_seg: 95.6896, aux.loss_ce: 0.0556, aux.acc_seg: 94.9494, loss: 0.1723 2023-02-24 04:33:58,324 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 1 day, 14:47:59, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.1073, decode.acc_seg: 95.9311, aux.loss_ce: 0.0513, aux.acc_seg: 95.2608, loss: 0.1586 2023-02-24 04:34:45,791 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 1 day, 14:47:03, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1086, decode.acc_seg: 95.8965, aux.loss_ce: 0.0544, aux.acc_seg: 94.9554, loss: 0.1630 2023-02-24 04:35:33,069 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 1 day, 14:46:05, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1168, decode.acc_seg: 95.6017, aux.loss_ce: 0.0566, aux.acc_seg: 94.8043, loss: 0.1734 2023-02-24 04:36:20,773 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 1 day, 14:45:11, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1151, decode.acc_seg: 95.6594, aux.loss_ce: 0.0561, aux.acc_seg: 94.8152, loss: 0.1712 2023-02-24 04:37:11,362 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 1 day, 14:44:44, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1102, decode.acc_seg: 95.8243, aux.loss_ce: 0.0542, aux.acc_seg: 95.0090, loss: 0.1644 2023-02-24 04:37:58,708 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 1 day, 14:43:47, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1151, decode.acc_seg: 95.7656, aux.loss_ce: 0.0533, aux.acc_seg: 95.1487, loss: 0.1684 2023-02-24 04:38:47,159 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 1 day, 14:43:00, time: 0.969, data_time: 0.031, memory: 24831, decode.loss_ce: 0.1238, decode.acc_seg: 95.4524, aux.loss_ce: 0.0568, aux.acc_seg: 94.8881, loss: 0.1806 2023-02-24 04:39:34,694 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 1 day, 14:42:04, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1161, decode.acc_seg: 95.6326, aux.loss_ce: 0.0539, aux.acc_seg: 95.0432, loss: 0.1700 2023-02-24 04:40:25,006 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 1 day, 14:41:34, time: 1.006, data_time: 0.072, memory: 24831, decode.loss_ce: 0.1209, decode.acc_seg: 95.4486, aux.loss_ce: 0.0571, aux.acc_seg: 94.7925, loss: 0.1780 2023-02-24 04:41:12,884 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 1 day, 14:40:42, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1163, decode.acc_seg: 95.6318, aux.loss_ce: 0.0547, aux.acc_seg: 94.9686, loss: 0.1710 2023-02-24 04:42:00,350 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 1 day, 14:39:46, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1197, decode.acc_seg: 95.5036, aux.loss_ce: 0.0545, aux.acc_seg: 95.0036, loss: 0.1742 2023-02-24 04:42:50,504 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-02-24 04:42:52,542 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:42:52,558 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 1 day, 14:39:33, time: 1.044, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1313, decode.acc_seg: 95.1770, aux.loss_ce: 0.0594, aux.acc_seg: 94.6682, loss: 0.1907 2023-02-24 04:43:56,866 - mmseg - INFO - per class results: 2023-02-24 04:43:56,871 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 97.18 | 97.49 | | sidewalk | 77.82 | 96.74 | | building | 90.13 | 98.55 | | wall | 50.83 | 57.11 | | fence | 60.14 | 66.14 | | pole | 60.29 | 66.5 | | traffic light | 65.99 | 76.48 | | traffic sign | 76.16 | 79.94 | | vegetation | 90.58 | 92.68 | | terrain | 57.23 | 68.7 | | sky | 94.25 | 98.17 | | person | 79.18 | 85.62 | | rider | 60.79 | 79.62 | | car | 95.07 | 97.13 | | truck | 81.62 | 88.77 | | bus | 84.74 | 92.93 | | train | 49.67 | 49.87 | | motorcycle | 64.93 | 74.76 | | bicycle | 72.48 | 77.37 | +---------------+-------+-------+ 2023-02-24 04:43:56,871 - mmseg - INFO - Summary: 2023-02-24 04:43:56,872 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 94.98 | 74.16 | 81.29 | +-------+-------+-------+ 2023-02-24 04:43:58,669 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-02-24 04:43:58,673 - mmseg - INFO - Best mIoU is 0.7416 at 16000 iter. 2023-02-24 04:43:58,673 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 04:43:58,674 - mmseg - INFO - Iter(val) [125] aAcc: 0.9498, mIoU: 0.7416, mAcc: 0.8129, IoU.road: 0.9718, IoU.sidewalk: 0.7782, IoU.building: 0.9013, IoU.wall: 0.5083, IoU.fence: 0.6014, IoU.pole: 0.6029, IoU.traffic light: 0.6599, IoU.traffic sign: 0.7616, IoU.vegetation: 0.9058, IoU.terrain: 0.5723, IoU.sky: 0.9425, IoU.person: 0.7918, IoU.rider: 0.6079, IoU.car: 0.9507, IoU.truck: 0.8162, IoU.bus: 0.8474, IoU.train: 0.4967, IoU.motorcycle: 0.6493, IoU.bicycle: 0.7248, Acc.road: 0.9749, Acc.sidewalk: 0.9674, Acc.building: 0.9855, Acc.wall: 0.5711, Acc.fence: 0.6614, Acc.pole: 0.6650, Acc.traffic light: 0.7648, Acc.traffic sign: 0.7994, Acc.vegetation: 0.9268, Acc.terrain: 0.6870, Acc.sky: 0.9817, Acc.person: 0.8562, Acc.rider: 0.7962, Acc.car: 0.9713, Acc.truck: 0.8877, Acc.bus: 0.9293, Acc.train: 0.4987, Acc.motorcycle: 0.7476, Acc.bicycle: 0.7737 2023-02-24 04:44:46,219 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 1 day, 14:48:30, time: 2.273, data_time: 1.333, memory: 24831, decode.loss_ce: 0.1216, decode.acc_seg: 95.5074, aux.loss_ce: 0.0564, aux.acc_seg: 94.8323, loss: 0.1781 2023-02-24 04:45:33,511 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 1 day, 14:47:31, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1148, decode.acc_seg: 95.6894, aux.loss_ce: 0.0533, aux.acc_seg: 95.1161, loss: 0.1681 2023-02-24 04:46:20,997 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 1 day, 14:46:33, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1152, decode.acc_seg: 95.6704, aux.loss_ce: 0.0538, aux.acc_seg: 95.0185, loss: 0.1690 2023-02-24 04:47:11,963 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 1 day, 14:46:06, time: 1.019, data_time: 0.078, memory: 24831, decode.loss_ce: 0.1224, decode.acc_seg: 95.4446, aux.loss_ce: 0.0582, aux.acc_seg: 94.6668, loss: 0.1806 2023-02-24 04:47:59,792 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 1 day, 14:45:12, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1193, decode.acc_seg: 95.5286, aux.loss_ce: 0.0558, aux.acc_seg: 94.8547, loss: 0.1751 2023-02-24 04:48:47,509 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 1 day, 14:44:16, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1128, decode.acc_seg: 95.6854, aux.loss_ce: 0.0548, aux.acc_seg: 94.9314, loss: 0.1675 2023-02-24 04:49:34,923 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 1 day, 14:43:18, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1160, decode.acc_seg: 95.6663, aux.loss_ce: 0.0555, aux.acc_seg: 94.9313, loss: 0.1715 2023-02-24 04:50:26,042 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 1 day, 14:42:52, time: 1.022, data_time: 0.088, memory: 24831, decode.loss_ce: 0.1149, decode.acc_seg: 95.7414, aux.loss_ce: 0.0552, aux.acc_seg: 94.9059, loss: 0.1701 2023-02-24 04:51:13,269 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 1 day, 14:41:52, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1088, decode.acc_seg: 95.8846, aux.loss_ce: 0.0531, aux.acc_seg: 95.0813, loss: 0.1618 2023-02-24 04:52:00,618 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 1 day, 14:40:53, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1192, decode.acc_seg: 95.4562, aux.loss_ce: 0.0571, aux.acc_seg: 94.7344, loss: 0.1763 2023-02-24 04:52:48,234 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 1 day, 14:39:57, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1153, decode.acc_seg: 95.7411, aux.loss_ce: 0.0547, aux.acc_seg: 94.9633, loss: 0.1700 2023-02-24 04:53:39,713 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 1 day, 14:39:34, time: 1.030, data_time: 0.087, memory: 24831, decode.loss_ce: 0.1143, decode.acc_seg: 95.7593, aux.loss_ce: 0.0533, aux.acc_seg: 95.0837, loss: 0.1676 2023-02-24 04:54:27,583 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 1 day, 14:38:40, time: 0.957, data_time: 0.016, memory: 24831, decode.loss_ce: 0.1129, decode.acc_seg: 95.7464, aux.loss_ce: 0.0553, aux.acc_seg: 94.8883, loss: 0.1682 2023-02-24 04:55:15,761 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 1 day, 14:37:48, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1115, decode.acc_seg: 95.8383, aux.loss_ce: 0.0544, aux.acc_seg: 95.0564, loss: 0.1659 2023-02-24 04:56:05,959 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 1 day, 14:37:14, time: 1.004, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1146, decode.acc_seg: 95.7550, aux.loss_ce: 0.0544, aux.acc_seg: 95.0436, loss: 0.1690 2023-02-24 04:56:53,528 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 1 day, 14:36:17, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1084, decode.acc_seg: 95.8850, aux.loss_ce: 0.0527, aux.acc_seg: 95.1099, loss: 0.1610 2023-02-24 04:57:41,207 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 1 day, 14:35:22, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1160, decode.acc_seg: 95.6021, aux.loss_ce: 0.0547, aux.acc_seg: 94.9697, loss: 0.1707 2023-02-24 04:58:28,518 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 1 day, 14:34:23, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1161, decode.acc_seg: 95.6670, aux.loss_ce: 0.0567, aux.acc_seg: 94.7847, loss: 0.1728 2023-02-24 04:59:18,589 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 1 day, 14:33:47, time: 1.001, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1182, decode.acc_seg: 95.6788, aux.loss_ce: 0.0558, aux.acc_seg: 94.8623, loss: 0.1741 2023-02-24 05:00:06,127 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:00:06,127 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 1 day, 14:32:50, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1219, decode.acc_seg: 95.4257, aux.loss_ce: 0.0556, aux.acc_seg: 94.9236, loss: 0.1776 2023-02-24 05:00:53,497 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 1 day, 14:31:52, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1073, decode.acc_seg: 95.9414, aux.loss_ce: 0.0523, aux.acc_seg: 95.1645, loss: 0.1596 2023-02-24 05:01:41,065 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 1 day, 14:30:56, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1121, decode.acc_seg: 95.7162, aux.loss_ce: 0.0545, aux.acc_seg: 94.9023, loss: 0.1666 2023-02-24 05:02:31,204 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 1 day, 14:30:21, time: 1.003, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1135, decode.acc_seg: 95.7727, aux.loss_ce: 0.0544, aux.acc_seg: 95.0098, loss: 0.1679 2023-02-24 05:03:18,438 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 1 day, 14:29:22, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1215, decode.acc_seg: 95.5867, aux.loss_ce: 0.0585, aux.acc_seg: 94.7254, loss: 0.1800 2023-02-24 05:04:05,953 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 1 day, 14:28:25, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1161, decode.acc_seg: 95.6534, aux.loss_ce: 0.0556, aux.acc_seg: 94.8559, loss: 0.1717 2023-02-24 05:04:55,929 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 1 day, 14:27:48, time: 0.999, data_time: 0.065, memory: 24831, decode.loss_ce: 0.1099, decode.acc_seg: 95.8715, aux.loss_ce: 0.0546, aux.acc_seg: 94.9358, loss: 0.1645 2023-02-24 05:05:43,562 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 1 day, 14:26:53, time: 0.953, data_time: 0.009, memory: 24831, decode.loss_ce: 0.1106, decode.acc_seg: 95.8359, aux.loss_ce: 0.0542, aux.acc_seg: 94.9664, loss: 0.1648 2023-02-24 05:06:30,923 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 1 day, 14:25:55, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1123, decode.acc_seg: 95.7599, aux.loss_ce: 0.0556, aux.acc_seg: 94.9702, loss: 0.1678 2023-02-24 05:07:18,242 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 1 day, 14:24:56, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1080, decode.acc_seg: 95.9852, aux.loss_ce: 0.0548, aux.acc_seg: 94.9134, loss: 0.1628 2023-02-24 05:08:08,494 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 1 day, 14:24:22, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.1069, decode.acc_seg: 96.0081, aux.loss_ce: 0.0523, aux.acc_seg: 95.1772, loss: 0.1591 2023-02-24 05:08:55,683 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 1 day, 14:23:23, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1063, decode.acc_seg: 96.0112, aux.loss_ce: 0.0532, aux.acc_seg: 95.1124, loss: 0.1595 2023-02-24 05:09:43,118 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 1 day, 14:22:26, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1070, decode.acc_seg: 95.9103, aux.loss_ce: 0.0528, aux.acc_seg: 95.0679, loss: 0.1598 2023-02-24 05:10:30,316 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 1 day, 14:21:27, time: 0.944, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1085, decode.acc_seg: 95.8876, aux.loss_ce: 0.0544, aux.acc_seg: 94.9410, loss: 0.1629 2023-02-24 05:11:20,317 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 1 day, 14:20:50, time: 1.000, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1098, decode.acc_seg: 95.8413, aux.loss_ce: 0.0539, aux.acc_seg: 94.9744, loss: 0.1637 2023-02-24 05:12:07,771 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 1 day, 14:19:53, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1045, decode.acc_seg: 96.0576, aux.loss_ce: 0.0518, aux.acc_seg: 95.1959, loss: 0.1563 2023-02-24 05:12:55,162 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 1 day, 14:18:56, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1040, decode.acc_seg: 96.0896, aux.loss_ce: 0.0518, aux.acc_seg: 95.1962, loss: 0.1559 2023-02-24 05:13:42,479 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 1 day, 14:17:58, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1298, decode.acc_seg: 95.1343, aux.loss_ce: 0.0597, aux.acc_seg: 94.5615, loss: 0.1895 2023-02-24 05:14:32,772 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 1 day, 14:17:24, time: 1.006, data_time: 0.070, memory: 24831, decode.loss_ce: 0.1092, decode.acc_seg: 95.9141, aux.loss_ce: 0.0514, aux.acc_seg: 95.2920, loss: 0.1606 2023-02-24 05:15:20,167 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 1 day, 14:16:26, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1062, decode.acc_seg: 95.9647, aux.loss_ce: 0.0525, aux.acc_seg: 95.1495, loss: 0.1587 2023-02-24 05:16:07,600 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:16:07,600 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 1 day, 14:15:29, time: 0.949, data_time: 0.014, memory: 24831, decode.loss_ce: 0.1118, decode.acc_seg: 95.7888, aux.loss_ce: 0.0544, aux.acc_seg: 94.9629, loss: 0.1661 2023-02-24 05:16:58,340 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 1 day, 14:14:58, time: 1.015, data_time: 0.081, memory: 24831, decode.loss_ce: 0.1126, decode.acc_seg: 95.7557, aux.loss_ce: 0.0545, aux.acc_seg: 95.0070, loss: 0.1671 2023-02-24 05:17:45,686 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 1 day, 14:14:01, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1053, decode.acc_seg: 96.0126, aux.loss_ce: 0.0536, aux.acc_seg: 95.0248, loss: 0.1589 2023-02-24 05:18:33,023 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 1 day, 14:13:03, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1004, decode.acc_seg: 96.1904, aux.loss_ce: 0.0506, aux.acc_seg: 95.3211, loss: 0.1511 2023-02-24 05:19:20,487 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 1 day, 14:12:07, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1039, decode.acc_seg: 96.0917, aux.loss_ce: 0.0517, aux.acc_seg: 95.2263, loss: 0.1557 2023-02-24 05:20:11,425 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 1 day, 14:11:37, time: 1.019, data_time: 0.084, memory: 24831, decode.loss_ce: 0.1032, decode.acc_seg: 96.0653, aux.loss_ce: 0.0515, aux.acc_seg: 95.1762, loss: 0.1547 2023-02-24 05:20:59,427 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 1 day, 14:10:45, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1097, decode.acc_seg: 95.8503, aux.loss_ce: 0.0516, aux.acc_seg: 95.2431, loss: 0.1613 2023-02-24 05:21:47,739 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 1 day, 14:09:55, time: 0.966, data_time: 0.020, memory: 24831, decode.loss_ce: 0.1064, decode.acc_seg: 95.9847, aux.loss_ce: 0.0524, aux.acc_seg: 95.1846, loss: 0.1588 2023-02-24 05:22:35,120 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 1 day, 14:08:58, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1327, decode.acc_seg: 95.3002, aux.loss_ce: 0.0609, aux.acc_seg: 94.6217, loss: 0.1935 2023-02-24 05:23:25,463 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 1 day, 14:08:24, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1171, decode.acc_seg: 95.6797, aux.loss_ce: 0.0537, aux.acc_seg: 95.0330, loss: 0.1708 2023-02-24 05:24:13,016 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 1 day, 14:07:28, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1176, decode.acc_seg: 95.7039, aux.loss_ce: 0.0554, aux.acc_seg: 94.9870, loss: 0.1729 2023-02-24 05:25:00,607 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 1 day, 14:06:32, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1121, decode.acc_seg: 95.8197, aux.loss_ce: 0.0543, aux.acc_seg: 94.9726, loss: 0.1664 2023-02-24 05:25:48,023 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 1 day, 14:05:36, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1043, decode.acc_seg: 96.0398, aux.loss_ce: 0.0518, aux.acc_seg: 95.1844, loss: 0.1560 2023-02-24 05:26:38,172 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 1 day, 14:05:00, time: 1.003, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1059, decode.acc_seg: 95.9649, aux.loss_ce: 0.0525, aux.acc_seg: 95.0282, loss: 0.1584 2023-02-24 05:27:25,495 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 1 day, 14:04:02, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1038, decode.acc_seg: 96.0618, aux.loss_ce: 0.0520, aux.acc_seg: 95.1853, loss: 0.1558 2023-02-24 05:28:12,999 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 1 day, 14:03:06, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1010, decode.acc_seg: 96.1804, aux.loss_ce: 0.0509, aux.acc_seg: 95.2914, loss: 0.1519 2023-02-24 05:29:04,124 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 1 day, 14:02:38, time: 1.022, data_time: 0.075, memory: 24831, decode.loss_ce: 0.1065, decode.acc_seg: 95.9718, aux.loss_ce: 0.0535, aux.acc_seg: 95.0689, loss: 0.1600 2023-02-24 05:29:51,521 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 1 day, 14:01:41, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1020, decode.acc_seg: 96.1386, aux.loss_ce: 0.0519, aux.acc_seg: 95.1549, loss: 0.1539 2023-02-24 05:30:39,452 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 1 day, 14:00:48, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1077, decode.acc_seg: 95.9348, aux.loss_ce: 0.0529, aux.acc_seg: 95.0905, loss: 0.1607 2023-02-24 05:31:27,848 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 1 day, 13:59:59, time: 0.968, data_time: 0.025, memory: 24831, decode.loss_ce: 0.1107, decode.acc_seg: 95.7966, aux.loss_ce: 0.0542, aux.acc_seg: 94.9354, loss: 0.1649 2023-02-24 05:32:18,263 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:32:18,263 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 1 day, 13:59:25, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.1027, decode.acc_seg: 96.1191, aux.loss_ce: 0.0531, aux.acc_seg: 95.1106, loss: 0.1557 2023-02-24 05:33:05,615 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 1 day, 13:58:28, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1086, decode.acc_seg: 95.8821, aux.loss_ce: 0.0536, aux.acc_seg: 95.0295, loss: 0.1622 2023-02-24 05:33:52,973 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 1 day, 13:57:31, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1111, decode.acc_seg: 95.8759, aux.loss_ce: 0.0527, aux.acc_seg: 95.1145, loss: 0.1639 2023-02-24 05:34:40,413 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 1 day, 13:56:35, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1060, decode.acc_seg: 96.0178, aux.loss_ce: 0.0512, aux.acc_seg: 95.2619, loss: 0.1572 2023-02-24 05:35:30,869 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 1 day, 13:56:01, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1020, decode.acc_seg: 96.0874, aux.loss_ce: 0.0518, aux.acc_seg: 95.1626, loss: 0.1539 2023-02-24 05:36:18,209 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 1 day, 13:55:04, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1151, decode.acc_seg: 95.7081, aux.loss_ce: 0.0557, aux.acc_seg: 94.8727, loss: 0.1708 2023-02-24 05:37:05,782 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 1 day, 13:54:08, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1154, decode.acc_seg: 95.8244, aux.loss_ce: 0.0538, aux.acc_seg: 95.0254, loss: 0.1692 2023-02-24 05:37:57,020 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 1 day, 13:53:40, time: 1.025, data_time: 0.069, memory: 24831, decode.loss_ce: 0.1212, decode.acc_seg: 95.5385, aux.loss_ce: 0.0566, aux.acc_seg: 94.9382, loss: 0.1779 2023-02-24 05:38:44,459 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 1 day, 13:52:44, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1112, decode.acc_seg: 95.7937, aux.loss_ce: 0.0545, aux.acc_seg: 94.9206, loss: 0.1657 2023-02-24 05:39:32,756 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 1 day, 13:51:54, time: 0.966, data_time: 0.026, memory: 24831, decode.loss_ce: 0.1029, decode.acc_seg: 96.0814, aux.loss_ce: 0.0509, aux.acc_seg: 95.2637, loss: 0.1538 2023-02-24 05:40:20,372 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 1 day, 13:50:59, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1011, decode.acc_seg: 96.1609, aux.loss_ce: 0.0507, aux.acc_seg: 95.2244, loss: 0.1518 2023-02-24 05:41:10,835 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 1 day, 13:50:25, time: 1.009, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0989, decode.acc_seg: 96.2641, aux.loss_ce: 0.0498, aux.acc_seg: 95.3811, loss: 0.1487 2023-02-24 05:41:58,446 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 1 day, 13:49:30, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1009, decode.acc_seg: 96.1801, aux.loss_ce: 0.0511, aux.acc_seg: 95.2417, loss: 0.1520 2023-02-24 05:42:45,939 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 1 day, 13:48:34, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1076, decode.acc_seg: 95.9221, aux.loss_ce: 0.0534, aux.acc_seg: 95.0103, loss: 0.1610 2023-02-24 05:43:33,612 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 1 day, 13:47:40, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1011, decode.acc_seg: 96.1753, aux.loss_ce: 0.0519, aux.acc_seg: 95.1624, loss: 0.1530 2023-02-24 05:44:23,884 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 1 day, 13:47:04, time: 1.006, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0995, decode.acc_seg: 96.2439, aux.loss_ce: 0.0504, aux.acc_seg: 95.3400, loss: 0.1499 2023-02-24 05:45:11,148 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 1 day, 13:46:07, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1098, decode.acc_seg: 95.8606, aux.loss_ce: 0.0527, aux.acc_seg: 95.0952, loss: 0.1625 2023-02-24 05:45:58,615 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 1 day, 13:45:11, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1036, decode.acc_seg: 96.0901, aux.loss_ce: 0.0526, aux.acc_seg: 95.1075, loss: 0.1561 2023-02-24 05:46:46,276 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 1 day, 13:44:17, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0970, decode.acc_seg: 96.3097, aux.loss_ce: 0.0501, aux.acc_seg: 95.3057, loss: 0.1471 2023-02-24 05:47:36,471 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 1 day, 13:43:40, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0996, decode.acc_seg: 96.2645, aux.loss_ce: 0.0515, aux.acc_seg: 95.2609, loss: 0.1511 2023-02-24 05:48:23,876 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 05:48:23,877 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 1 day, 13:42:44, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0975, decode.acc_seg: 96.2798, aux.loss_ce: 0.0498, aux.acc_seg: 95.3299, loss: 0.1473 2023-02-24 05:49:11,323 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 1 day, 13:41:48, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0979, decode.acc_seg: 96.2967, aux.loss_ce: 0.0497, aux.acc_seg: 95.3587, loss: 0.1477 2023-02-24 05:50:02,362 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 1 day, 13:41:18, time: 1.021, data_time: 0.080, memory: 24831, decode.loss_ce: 0.1055, decode.acc_seg: 95.9923, aux.loss_ce: 0.0518, aux.acc_seg: 95.1304, loss: 0.1572 2023-02-24 05:50:49,702 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 1 day, 13:40:21, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0995, decode.acc_seg: 96.1643, aux.loss_ce: 0.0497, aux.acc_seg: 95.3192, loss: 0.1492 2023-02-24 05:51:36,989 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 1 day, 13:39:25, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1023, decode.acc_seg: 96.1220, aux.loss_ce: 0.0500, aux.acc_seg: 95.3807, loss: 0.1523 2023-02-24 05:52:24,486 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 1 day, 13:38:29, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0988, decode.acc_seg: 96.2186, aux.loss_ce: 0.0498, aux.acc_seg: 95.3185, loss: 0.1486 2023-02-24 05:53:15,544 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 1 day, 13:37:58, time: 1.021, data_time: 0.082, memory: 24831, decode.loss_ce: 0.1060, decode.acc_seg: 96.0156, aux.loss_ce: 0.0518, aux.acc_seg: 95.2354, loss: 0.1578 2023-02-24 05:54:02,799 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 1 day, 13:37:01, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1020, decode.acc_seg: 96.1192, aux.loss_ce: 0.0499, aux.acc_seg: 95.3167, loss: 0.1519 2023-02-24 05:54:50,223 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 1 day, 13:36:06, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1016, decode.acc_seg: 96.1737, aux.loss_ce: 0.0497, aux.acc_seg: 95.3815, loss: 0.1513 2023-02-24 05:55:38,181 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 1 day, 13:35:14, time: 0.959, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0971, decode.acc_seg: 96.3139, aux.loss_ce: 0.0496, aux.acc_seg: 95.3762, loss: 0.1467 2023-02-24 05:56:29,184 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 1 day, 13:34:42, time: 1.020, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0975, decode.acc_seg: 96.2581, aux.loss_ce: 0.0500, aux.acc_seg: 95.3123, loss: 0.1475 2023-02-24 05:57:16,620 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 1 day, 13:33:47, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1013, decode.acc_seg: 96.1829, aux.loss_ce: 0.0516, aux.acc_seg: 95.2473, loss: 0.1529 2023-02-24 05:58:03,965 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 1 day, 13:32:50, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0998, decode.acc_seg: 96.1929, aux.loss_ce: 0.0508, aux.acc_seg: 95.2995, loss: 0.1507 2023-02-24 05:58:54,764 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 1 day, 13:32:18, time: 1.016, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0995, decode.acc_seg: 96.1710, aux.loss_ce: 0.0500, aux.acc_seg: 95.3000, loss: 0.1495 2023-02-24 05:59:42,267 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 1 day, 13:31:22, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0988, decode.acc_seg: 96.2363, aux.loss_ce: 0.0504, aux.acc_seg: 95.2952, loss: 0.1492 2023-02-24 06:00:29,875 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 1 day, 13:30:28, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0972, decode.acc_seg: 96.3624, aux.loss_ce: 0.0497, aux.acc_seg: 95.3916, loss: 0.1469 2023-02-24 06:01:17,609 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 1 day, 13:29:35, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0968, decode.acc_seg: 96.3222, aux.loss_ce: 0.0489, aux.acc_seg: 95.4044, loss: 0.1457 2023-02-24 06:02:08,597 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 1 day, 13:29:03, time: 1.020, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0928, decode.acc_seg: 96.4262, aux.loss_ce: 0.0474, aux.acc_seg: 95.5523, loss: 0.1402 2023-02-24 06:02:55,891 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 1 day, 13:28:06, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0951, decode.acc_seg: 96.3814, aux.loss_ce: 0.0484, aux.acc_seg: 95.4929, loss: 0.1435 2023-02-24 06:03:43,643 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 1 day, 13:27:13, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0976, decode.acc_seg: 96.2670, aux.loss_ce: 0.0504, aux.acc_seg: 95.2833, loss: 0.1480 2023-02-24 06:04:30,929 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:04:30,929 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 1 day, 13:26:17, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1009, decode.acc_seg: 96.1540, aux.loss_ce: 0.0515, aux.acc_seg: 95.1954, loss: 0.1524 2023-02-24 06:05:21,761 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 1 day, 13:25:44, time: 1.017, data_time: 0.081, memory: 24831, decode.loss_ce: 0.1005, decode.acc_seg: 96.1665, aux.loss_ce: 0.0501, aux.acc_seg: 95.3390, loss: 0.1506 2023-02-24 06:06:09,320 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 1 day, 13:24:49, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0997, decode.acc_seg: 96.1619, aux.loss_ce: 0.0493, aux.acc_seg: 95.3797, loss: 0.1491 2023-02-24 06:06:56,591 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 1 day, 13:23:52, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1041, decode.acc_seg: 96.0676, aux.loss_ce: 0.0515, aux.acc_seg: 95.2351, loss: 0.1556 2023-02-24 06:07:44,331 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 1 day, 13:22:59, time: 0.955, data_time: 0.017, memory: 24831, decode.loss_ce: 0.1012, decode.acc_seg: 96.1942, aux.loss_ce: 0.0497, aux.acc_seg: 95.4080, loss: 0.1508 2023-02-24 06:08:35,044 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 1 day, 13:22:25, time: 1.014, data_time: 0.078, memory: 24831, decode.loss_ce: 0.1034, decode.acc_seg: 96.0882, aux.loss_ce: 0.0518, aux.acc_seg: 95.2333, loss: 0.1552 2023-02-24 06:09:23,111 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 1 day, 13:21:34, time: 0.961, data_time: 0.025, memory: 24831, decode.loss_ce: 0.1012, decode.acc_seg: 96.1148, aux.loss_ce: 0.0505, aux.acc_seg: 95.2297, loss: 0.1517 2023-02-24 06:10:10,644 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 1 day, 13:20:39, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0958, decode.acc_seg: 96.3931, aux.loss_ce: 0.0491, aux.acc_seg: 95.4867, loss: 0.1449 2023-02-24 06:11:01,157 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 1 day, 13:20:04, time: 1.010, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0996, decode.acc_seg: 96.1987, aux.loss_ce: 0.0496, aux.acc_seg: 95.3339, loss: 0.1492 2023-02-24 06:11:48,727 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 1 day, 13:19:10, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0948, decode.acc_seg: 96.4047, aux.loss_ce: 0.0495, aux.acc_seg: 95.4235, loss: 0.1443 2023-02-24 06:12:36,096 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 1 day, 13:18:14, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1139, decode.acc_seg: 95.7897, aux.loss_ce: 0.0518, aux.acc_seg: 95.1662, loss: 0.1657 2023-02-24 06:13:23,680 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 1 day, 13:17:20, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1009, decode.acc_seg: 96.1724, aux.loss_ce: 0.0492, aux.acc_seg: 95.3690, loss: 0.1501 2023-02-24 06:14:14,265 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 1 day, 13:16:45, time: 1.012, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0975, decode.acc_seg: 96.3235, aux.loss_ce: 0.0491, aux.acc_seg: 95.4281, loss: 0.1466 2023-02-24 06:15:01,563 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 1 day, 13:15:49, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0986, decode.acc_seg: 96.2750, aux.loss_ce: 0.0489, aux.acc_seg: 95.4058, loss: 0.1475 2023-02-24 06:15:48,876 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 1 day, 13:14:53, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1046, decode.acc_seg: 96.0577, aux.loss_ce: 0.0517, aux.acc_seg: 95.2064, loss: 0.1563 2023-02-24 06:16:36,285 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 1 day, 13:13:58, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1115, decode.acc_seg: 95.8020, aux.loss_ce: 0.0551, aux.acc_seg: 94.8698, loss: 0.1666 2023-02-24 06:17:27,521 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 1 day, 13:13:26, time: 1.024, data_time: 0.086, memory: 24831, decode.loss_ce: 0.1047, decode.acc_seg: 96.0213, aux.loss_ce: 0.0518, aux.acc_seg: 95.1515, loss: 0.1565 2023-02-24 06:18:15,500 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 1 day, 13:12:35, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0983, decode.acc_seg: 96.2345, aux.loss_ce: 0.0510, aux.acc_seg: 95.2583, loss: 0.1493 2023-02-24 06:19:03,672 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 1 day, 13:11:44, time: 0.964, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0963, decode.acc_seg: 96.3006, aux.loss_ce: 0.0484, aux.acc_seg: 95.4661, loss: 0.1446 2023-02-24 06:19:53,930 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 1 day, 13:11:07, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0960, decode.acc_seg: 96.2831, aux.loss_ce: 0.0488, aux.acc_seg: 95.4120, loss: 0.1448 2023-02-24 06:20:41,156 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:20:41,156 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 1 day, 13:10:11, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1017, decode.acc_seg: 96.0929, aux.loss_ce: 0.0515, aux.acc_seg: 95.1404, loss: 0.1533 2023-02-24 06:21:28,616 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 1 day, 13:09:16, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0987, decode.acc_seg: 96.2458, aux.loss_ce: 0.0489, aux.acc_seg: 95.3930, loss: 0.1476 2023-02-24 06:22:15,997 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 1 day, 13:08:20, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0975, decode.acc_seg: 96.2827, aux.loss_ce: 0.0490, aux.acc_seg: 95.4362, loss: 0.1465 2023-02-24 06:23:07,038 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 1 day, 13:07:48, time: 1.021, data_time: 0.082, memory: 24831, decode.loss_ce: 0.0967, decode.acc_seg: 96.3351, aux.loss_ce: 0.0507, aux.acc_seg: 95.2609, loss: 0.1474 2023-02-24 06:23:54,369 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 1 day, 13:06:52, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1047, decode.acc_seg: 96.0508, aux.loss_ce: 0.0519, aux.acc_seg: 95.2374, loss: 0.1566 2023-02-24 06:24:41,730 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 1 day, 13:05:57, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1052, decode.acc_seg: 96.0599, aux.loss_ce: 0.0515, aux.acc_seg: 95.2321, loss: 0.1567 2023-02-24 06:25:29,124 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 1 day, 13:05:02, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1010, decode.acc_seg: 96.2067, aux.loss_ce: 0.0490, aux.acc_seg: 95.4315, loss: 0.1499 2023-02-24 06:26:20,411 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 1 day, 13:04:31, time: 1.026, data_time: 0.086, memory: 24831, decode.loss_ce: 0.1014, decode.acc_seg: 96.1280, aux.loss_ce: 0.0505, aux.acc_seg: 95.2843, loss: 0.1519 2023-02-24 06:27:08,387 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 1 day, 13:03:39, time: 0.960, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0964, decode.acc_seg: 96.2894, aux.loss_ce: 0.0497, aux.acc_seg: 95.2910, loss: 0.1461 2023-02-24 06:27:55,776 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 1 day, 13:02:44, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0982, decode.acc_seg: 96.2750, aux.loss_ce: 0.0504, aux.acc_seg: 95.3119, loss: 0.1486 2023-02-24 06:28:43,493 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 1 day, 13:01:51, time: 0.954, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0978, decode.acc_seg: 96.3068, aux.loss_ce: 0.0497, aux.acc_seg: 95.3838, loss: 0.1475 2023-02-24 06:29:33,855 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 1 day, 13:01:14, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.1006, decode.acc_seg: 96.1934, aux.loss_ce: 0.0508, aux.acc_seg: 95.2682, loss: 0.1514 2023-02-24 06:30:21,395 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 1 day, 13:00:19, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0940, decode.acc_seg: 96.4279, aux.loss_ce: 0.0484, aux.acc_seg: 95.4741, loss: 0.1424 2023-02-24 06:31:08,820 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 1 day, 12:59:25, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1099, decode.acc_seg: 95.9696, aux.loss_ce: 0.0537, aux.acc_seg: 95.0354, loss: 0.1636 2023-02-24 06:31:59,461 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 1 day, 12:58:49, time: 1.013, data_time: 0.066, memory: 24831, decode.loss_ce: 0.1042, decode.acc_seg: 96.1359, aux.loss_ce: 0.0538, aux.acc_seg: 95.0224, loss: 0.1580 2023-02-24 06:32:46,799 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 1 day, 12:57:54, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1031, decode.acc_seg: 96.0883, aux.loss_ce: 0.0536, aux.acc_seg: 95.0580, loss: 0.1567 2023-02-24 06:33:34,096 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 1 day, 12:56:58, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0981, decode.acc_seg: 96.2701, aux.loss_ce: 0.0508, aux.acc_seg: 95.2573, loss: 0.1489 2023-02-24 06:34:21,496 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 1 day, 12:56:03, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0976, decode.acc_seg: 96.2887, aux.loss_ce: 0.0488, aux.acc_seg: 95.4145, loss: 0.1464 2023-02-24 06:35:12,378 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 1 day, 12:55:29, time: 1.018, data_time: 0.083, memory: 24831, decode.loss_ce: 0.1004, decode.acc_seg: 96.1886, aux.loss_ce: 0.0511, aux.acc_seg: 95.2110, loss: 0.1515 2023-02-24 06:35:59,682 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 1 day, 12:54:34, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0962, decode.acc_seg: 96.2958, aux.loss_ce: 0.0495, aux.acc_seg: 95.3483, loss: 0.1457 2023-02-24 06:36:47,129 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:36:47,130 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 1 day, 12:53:39, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1007, decode.acc_seg: 96.1215, aux.loss_ce: 0.0514, aux.acc_seg: 95.1870, loss: 0.1520 2023-02-24 06:37:34,523 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 1 day, 12:52:44, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0968, decode.acc_seg: 96.3458, aux.loss_ce: 0.0488, aux.acc_seg: 95.4280, loss: 0.1456 2023-02-24 06:38:25,528 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 1 day, 12:52:11, time: 1.020, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0972, decode.acc_seg: 96.2737, aux.loss_ce: 0.0496, aux.acc_seg: 95.3383, loss: 0.1467 2023-02-24 06:39:13,513 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 1 day, 12:51:19, time: 0.960, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0973, decode.acc_seg: 96.2582, aux.loss_ce: 0.0509, aux.acc_seg: 95.2108, loss: 0.1482 2023-02-24 06:40:00,930 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 1 day, 12:50:25, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0947, decode.acc_seg: 96.3650, aux.loss_ce: 0.0480, aux.acc_seg: 95.4856, loss: 0.1427 2023-02-24 06:40:48,836 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 1 day, 12:49:33, time: 0.958, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0994, decode.acc_seg: 96.1915, aux.loss_ce: 0.0499, aux.acc_seg: 95.3052, loss: 0.1493 2023-02-24 06:41:39,632 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 1 day, 12:48:58, time: 1.016, data_time: 0.077, memory: 24831, decode.loss_ce: 0.1028, decode.acc_seg: 96.1481, aux.loss_ce: 0.0510, aux.acc_seg: 95.2902, loss: 0.1538 2023-02-24 06:42:26,986 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 1 day, 12:48:03, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0975, decode.acc_seg: 96.2542, aux.loss_ce: 0.0499, aux.acc_seg: 95.2969, loss: 0.1474 2023-02-24 06:43:14,347 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 1 day, 12:47:08, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0970, decode.acc_seg: 96.3286, aux.loss_ce: 0.0501, aux.acc_seg: 95.2682, loss: 0.1471 2023-02-24 06:44:05,512 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 1 day, 12:46:35, time: 1.024, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0928, decode.acc_seg: 96.4337, aux.loss_ce: 0.0483, aux.acc_seg: 95.4816, loss: 0.1411 2023-02-24 06:44:53,490 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 1 day, 12:45:44, time: 0.960, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0981, decode.acc_seg: 96.2472, aux.loss_ce: 0.0485, aux.acc_seg: 95.4190, loss: 0.1466 2023-02-24 06:45:40,807 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 1 day, 12:44:49, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0988, decode.acc_seg: 96.1776, aux.loss_ce: 0.0503, aux.acc_seg: 95.2201, loss: 0.1492 2023-02-24 06:46:28,418 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 1 day, 12:43:55, time: 0.952, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0922, decode.acc_seg: 96.4708, aux.loss_ce: 0.0475, aux.acc_seg: 95.5472, loss: 0.1397 2023-02-24 06:47:19,073 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 1 day, 12:43:19, time: 1.013, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0959, decode.acc_seg: 96.3239, aux.loss_ce: 0.0488, aux.acc_seg: 95.4230, loss: 0.1447 2023-02-24 06:48:06,562 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 1 day, 12:42:25, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0912, decode.acc_seg: 96.4764, aux.loss_ce: 0.0481, aux.acc_seg: 95.4436, loss: 0.1393 2023-02-24 06:48:53,881 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 1 day, 12:41:30, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0917, decode.acc_seg: 96.5096, aux.loss_ce: 0.0481, aux.acc_seg: 95.5312, loss: 0.1399 2023-02-24 06:49:41,204 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 1 day, 12:40:35, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0908, decode.acc_seg: 96.5001, aux.loss_ce: 0.0474, aux.acc_seg: 95.5232, loss: 0.1382 2023-02-24 06:50:32,440 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 1 day, 12:40:02, time: 1.024, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0950, decode.acc_seg: 96.3450, aux.loss_ce: 0.0500, aux.acc_seg: 95.3165, loss: 0.1450 2023-02-24 06:51:20,030 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 1 day, 12:39:09, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0945, decode.acc_seg: 96.4050, aux.loss_ce: 0.0492, aux.acc_seg: 95.4197, loss: 0.1437 2023-02-24 06:52:07,402 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 1 day, 12:38:14, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0955, decode.acc_seg: 96.3174, aux.loss_ce: 0.0483, aux.acc_seg: 95.4043, loss: 0.1439 2023-02-24 06:52:58,081 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 06:52:58,081 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 1 day, 12:37:38, time: 1.014, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0939, decode.acc_seg: 96.4308, aux.loss_ce: 0.0492, aux.acc_seg: 95.4322, loss: 0.1431 2023-02-24 06:53:45,478 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 1 day, 12:36:43, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0990, decode.acc_seg: 96.1648, aux.loss_ce: 0.0502, aux.acc_seg: 95.2125, loss: 0.1492 2023-02-24 06:54:32,835 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 1 day, 12:35:49, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1001, decode.acc_seg: 96.1846, aux.loss_ce: 0.0510, aux.acc_seg: 95.2180, loss: 0.1512 2023-02-24 06:55:20,252 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 1 day, 12:34:54, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0913, decode.acc_seg: 96.4940, aux.loss_ce: 0.0482, aux.acc_seg: 95.4717, loss: 0.1395 2023-02-24 06:56:11,482 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 1 day, 12:34:21, time: 1.025, data_time: 0.090, memory: 24831, decode.loss_ce: 0.0946, decode.acc_seg: 96.3907, aux.loss_ce: 0.0479, aux.acc_seg: 95.5097, loss: 0.1425 2023-02-24 06:56:59,112 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 1 day, 12:33:28, time: 0.953, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0887, decode.acc_seg: 96.5871, aux.loss_ce: 0.0478, aux.acc_seg: 95.4855, loss: 0.1366 2023-02-24 06:57:46,383 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 1 day, 12:32:33, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0940, decode.acc_seg: 96.3857, aux.loss_ce: 0.0491, aux.acc_seg: 95.3999, loss: 0.1431 2023-02-24 06:58:33,775 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 1 day, 12:31:38, time: 0.948, data_time: 0.013, memory: 24831, decode.loss_ce: 0.1056, decode.acc_seg: 96.0245, aux.loss_ce: 0.0524, aux.acc_seg: 95.1223, loss: 0.1580 2023-02-24 06:59:24,719 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 1 day, 12:31:04, time: 1.019, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0918, decode.acc_seg: 96.5487, aux.loss_ce: 0.0471, aux.acc_seg: 95.6252, loss: 0.1389 2023-02-24 07:00:11,934 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 1 day, 12:30:08, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0924, decode.acc_seg: 96.5050, aux.loss_ce: 0.0485, aux.acc_seg: 95.4828, loss: 0.1408 2023-02-24 07:00:59,166 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 1 day, 12:29:13, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0990, decode.acc_seg: 96.2446, aux.loss_ce: 0.0503, aux.acc_seg: 95.3436, loss: 0.1493 2023-02-24 07:01:46,566 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 1 day, 12:28:18, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0939, decode.acc_seg: 96.4230, aux.loss_ce: 0.0476, aux.acc_seg: 95.5860, loss: 0.1415 2023-02-24 07:02:37,936 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 1 day, 12:27:46, time: 1.027, data_time: 0.088, memory: 24831, decode.loss_ce: 0.0900, decode.acc_seg: 96.5662, aux.loss_ce: 0.0454, aux.acc_seg: 95.7448, loss: 0.1354 2023-02-24 07:03:25,303 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 1 day, 12:26:51, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0959, decode.acc_seg: 96.3327, aux.loss_ce: 0.0498, aux.acc_seg: 95.3090, loss: 0.1456 2023-02-24 07:04:12,809 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 1 day, 12:25:58, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0889, decode.acc_seg: 96.5895, aux.loss_ce: 0.0467, aux.acc_seg: 95.6237, loss: 0.1355 2023-02-24 07:05:04,104 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 1 day, 12:25:25, time: 1.026, data_time: 0.082, memory: 24831, decode.loss_ce: 0.0917, decode.acc_seg: 96.4605, aux.loss_ce: 0.0464, aux.acc_seg: 95.6784, loss: 0.1382 2023-02-24 07:05:51,425 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 1 day, 12:24:30, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0898, decode.acc_seg: 96.5498, aux.loss_ce: 0.0470, aux.acc_seg: 95.5711, loss: 0.1368 2023-02-24 07:06:38,872 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 1 day, 12:23:36, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0940, decode.acc_seg: 96.3891, aux.loss_ce: 0.0472, aux.acc_seg: 95.5421, loss: 0.1412 2023-02-24 07:07:26,246 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 1 day, 12:22:41, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0902, decode.acc_seg: 96.5318, aux.loss_ce: 0.0468, aux.acc_seg: 95.5860, loss: 0.1370 2023-02-24 07:08:17,959 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 1 day, 12:22:10, time: 1.034, data_time: 0.087, memory: 24831, decode.loss_ce: 0.0927, decode.acc_seg: 96.4501, aux.loss_ce: 0.0468, aux.acc_seg: 95.5714, loss: 0.1394 2023-02-24 07:09:05,408 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:09:05,408 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 1 day, 12:21:16, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0904, decode.acc_seg: 96.5088, aux.loss_ce: 0.0471, aux.acc_seg: 95.5333, loss: 0.1375 2023-02-24 07:09:52,888 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 1 day, 12:20:22, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0938, decode.acc_seg: 96.3856, aux.loss_ce: 0.0476, aux.acc_seg: 95.5225, loss: 0.1414 2023-02-24 07:10:41,418 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 1 day, 12:19:34, time: 0.971, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0882, decode.acc_seg: 96.6239, aux.loss_ce: 0.0454, aux.acc_seg: 95.7518, loss: 0.1336 2023-02-24 07:11:31,535 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 1 day, 12:18:55, time: 1.002, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0895, decode.acc_seg: 96.5794, aux.loss_ce: 0.0469, aux.acc_seg: 95.6192, loss: 0.1364 2023-02-24 07:12:18,795 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 1 day, 12:18:00, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0952, decode.acc_seg: 96.3560, aux.loss_ce: 0.0493, aux.acc_seg: 95.3649, loss: 0.1445 2023-02-24 07:13:06,352 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 1 day, 12:17:06, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0936, decode.acc_seg: 96.3978, aux.loss_ce: 0.0481, aux.acc_seg: 95.4699, loss: 0.1417 2023-02-24 07:13:57,121 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 1 day, 12:16:30, time: 1.016, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0980, decode.acc_seg: 96.3005, aux.loss_ce: 0.0477, aux.acc_seg: 95.5484, loss: 0.1457 2023-02-24 07:14:44,653 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 1 day, 12:15:37, time: 0.950, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0945, decode.acc_seg: 96.3900, aux.loss_ce: 0.0486, aux.acc_seg: 95.4568, loss: 0.1431 2023-02-24 07:15:32,485 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 1 day, 12:14:45, time: 0.957, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0948, decode.acc_seg: 96.3473, aux.loss_ce: 0.0508, aux.acc_seg: 95.2478, loss: 0.1455 2023-02-24 07:16:20,067 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 1 day, 12:13:52, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0961, decode.acc_seg: 96.3110, aux.loss_ce: 0.0493, aux.acc_seg: 95.3761, loss: 0.1454 2023-02-24 07:17:11,436 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 1 day, 12:13:18, time: 1.028, data_time: 0.089, memory: 24831, decode.loss_ce: 0.0947, decode.acc_seg: 96.3581, aux.loss_ce: 0.0476, aux.acc_seg: 95.4916, loss: 0.1423 2023-02-24 07:17:58,951 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 1 day, 12:12:25, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0965, decode.acc_seg: 96.4092, aux.loss_ce: 0.0484, aux.acc_seg: 95.4910, loss: 0.1449 2023-02-24 07:18:46,363 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 1 day, 12:11:31, time: 0.948, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0923, decode.acc_seg: 96.4549, aux.loss_ce: 0.0463, aux.acc_seg: 95.6290, loss: 0.1386 2023-02-24 07:19:33,909 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 1 day, 12:10:38, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0943, decode.acc_seg: 96.3583, aux.loss_ce: 0.0492, aux.acc_seg: 95.3416, loss: 0.1435 2023-02-24 07:20:24,871 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 1 day, 12:10:02, time: 1.019, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0906, decode.acc_seg: 96.4869, aux.loss_ce: 0.0465, aux.acc_seg: 95.5949, loss: 0.1370 2023-02-24 07:21:12,272 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 1 day, 12:09:08, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0919, decode.acc_seg: 96.4588, aux.loss_ce: 0.0482, aux.acc_seg: 95.4906, loss: 0.1401 2023-02-24 07:21:59,547 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 1 day, 12:08:13, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0934, decode.acc_seg: 96.4493, aux.loss_ce: 0.0499, aux.acc_seg: 95.3640, loss: 0.1433 2023-02-24 07:22:46,907 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 1 day, 12:07:19, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0892, decode.acc_seg: 96.5358, aux.loss_ce: 0.0471, aux.acc_seg: 95.5192, loss: 0.1364 2023-02-24 07:23:37,860 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 1 day, 12:06:43, time: 1.019, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0940, decode.acc_seg: 96.4012, aux.loss_ce: 0.0474, aux.acc_seg: 95.5239, loss: 0.1414 2023-02-24 07:24:25,440 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 1 day, 12:05:50, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1058, decode.acc_seg: 96.0145, aux.loss_ce: 0.0489, aux.acc_seg: 95.4429, loss: 0.1548 2023-02-24 07:25:13,214 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:25:13,214 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 1 day, 12:04:58, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0998, decode.acc_seg: 96.1938, aux.loss_ce: 0.0508, aux.acc_seg: 95.2389, loss: 0.1506 2023-02-24 07:26:03,679 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 1 day, 12:04:20, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0978, decode.acc_seg: 96.2732, aux.loss_ce: 0.0499, aux.acc_seg: 95.3531, loss: 0.1477 2023-02-24 07:26:51,090 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 1 day, 12:03:26, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0919, decode.acc_seg: 96.4612, aux.loss_ce: 0.0490, aux.acc_seg: 95.4116, loss: 0.1409 2023-02-24 07:27:38,668 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 1 day, 12:02:33, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0959, decode.acc_seg: 96.3794, aux.loss_ce: 0.0496, aux.acc_seg: 95.3699, loss: 0.1455 2023-02-24 07:28:26,456 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 1 day, 12:01:41, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0935, decode.acc_seg: 96.4497, aux.loss_ce: 0.0471, aux.acc_seg: 95.6132, loss: 0.1405 2023-02-24 07:29:16,700 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 1 day, 12:01:02, time: 1.005, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0977, decode.acc_seg: 96.2265, aux.loss_ce: 0.0512, aux.acc_seg: 95.2028, loss: 0.1489 2023-02-24 07:30:04,113 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 1 day, 12:00:08, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0988, decode.acc_seg: 96.2408, aux.loss_ce: 0.0487, aux.acc_seg: 95.4507, loss: 0.1474 2023-02-24 07:30:51,604 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 1 day, 11:59:14, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0903, decode.acc_seg: 96.5322, aux.loss_ce: 0.0465, aux.acc_seg: 95.6000, loss: 0.1368 2023-02-24 07:31:39,153 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 1 day, 11:58:21, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0894, decode.acc_seg: 96.5661, aux.loss_ce: 0.0467, aux.acc_seg: 95.6327, loss: 0.1361 2023-02-24 07:32:29,988 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 1 day, 11:57:45, time: 1.017, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0892, decode.acc_seg: 96.5188, aux.loss_ce: 0.0456, aux.acc_seg: 95.6962, loss: 0.1347 2023-02-24 07:33:17,765 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 1 day, 11:56:53, time: 0.956, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0977, decode.acc_seg: 96.3206, aux.loss_ce: 0.0499, aux.acc_seg: 95.3324, loss: 0.1476 2023-02-24 07:34:05,806 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 1 day, 11:56:02, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0941, decode.acc_seg: 96.4124, aux.loss_ce: 0.0477, aux.acc_seg: 95.5480, loss: 0.1418 2023-02-24 07:34:56,113 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 1 day, 11:55:23, time: 1.006, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0902, decode.acc_seg: 96.5395, aux.loss_ce: 0.0476, aux.acc_seg: 95.5119, loss: 0.1378 2023-02-24 07:35:43,601 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 1 day, 11:54:30, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0878, decode.acc_seg: 96.6063, aux.loss_ce: 0.0483, aux.acc_seg: 95.4811, loss: 0.1361 2023-02-24 07:36:30,994 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 1 day, 11:53:36, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6651, aux.loss_ce: 0.0457, aux.acc_seg: 95.7363, loss: 0.1323 2023-02-24 07:37:18,391 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 1 day, 11:52:42, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6740, aux.loss_ce: 0.0455, aux.acc_seg: 95.7194, loss: 0.1321 2023-02-24 07:38:08,669 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 1 day, 11:52:02, time: 1.006, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0909, decode.acc_seg: 96.5005, aux.loss_ce: 0.0466, aux.acc_seg: 95.5776, loss: 0.1374 2023-02-24 07:38:56,076 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 1 day, 11:51:09, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0891, decode.acc_seg: 96.5646, aux.loss_ce: 0.0463, aux.acc_seg: 95.6223, loss: 0.1354 2023-02-24 07:39:43,757 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 1 day, 11:50:16, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0904, decode.acc_seg: 96.6062, aux.loss_ce: 0.0465, aux.acc_seg: 95.6686, loss: 0.1369 2023-02-24 07:40:31,833 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 1 day, 11:49:26, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0881, decode.acc_seg: 96.6111, aux.loss_ce: 0.0461, aux.acc_seg: 95.6252, loss: 0.1342 2023-02-24 07:41:22,398 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:41:22,398 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 1 day, 11:48:48, time: 1.011, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0869, decode.acc_seg: 96.6303, aux.loss_ce: 0.0460, aux.acc_seg: 95.6495, loss: 0.1329 2023-02-24 07:42:09,820 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 1 day, 11:47:54, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0856, decode.acc_seg: 96.7158, aux.loss_ce: 0.0466, aux.acc_seg: 95.6439, loss: 0.1322 2023-02-24 07:42:57,176 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 1 day, 11:47:00, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0863, decode.acc_seg: 96.6674, aux.loss_ce: 0.0468, aux.acc_seg: 95.6203, loss: 0.1332 2023-02-24 07:43:44,604 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 1 day, 11:46:07, time: 0.949, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0895, decode.acc_seg: 96.5582, aux.loss_ce: 0.0469, aux.acc_seg: 95.5661, loss: 0.1364 2023-02-24 07:44:34,885 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 1 day, 11:45:27, time: 1.006, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0978, decode.acc_seg: 96.2513, aux.loss_ce: 0.0500, aux.acc_seg: 95.3164, loss: 0.1478 2023-02-24 07:45:23,259 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 1 day, 11:44:38, time: 0.967, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0854, decode.acc_seg: 96.7268, aux.loss_ce: 0.0451, aux.acc_seg: 95.7312, loss: 0.1305 2023-02-24 07:46:10,547 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 1 day, 11:43:44, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0850, decode.acc_seg: 96.7283, aux.loss_ce: 0.0478, aux.acc_seg: 95.5093, loss: 0.1328 2023-02-24 07:47:01,526 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 1 day, 11:43:08, time: 1.020, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0938, decode.acc_seg: 96.3931, aux.loss_ce: 0.0486, aux.acc_seg: 95.4213, loss: 0.1424 2023-02-24 07:47:49,050 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 1 day, 11:42:15, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0867, decode.acc_seg: 96.6526, aux.loss_ce: 0.0453, aux.acc_seg: 95.6764, loss: 0.1320 2023-02-24 07:48:36,538 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 1 day, 11:41:22, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0876, decode.acc_seg: 96.6095, aux.loss_ce: 0.0454, aux.acc_seg: 95.6868, loss: 0.1329 2023-02-24 07:49:23,873 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 1 day, 11:40:28, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0875, decode.acc_seg: 96.6425, aux.loss_ce: 0.0448, aux.acc_seg: 95.7458, loss: 0.1323 2023-02-24 07:50:14,545 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 1 day, 11:39:50, time: 1.013, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0920, decode.acc_seg: 96.4649, aux.loss_ce: 0.0466, aux.acc_seg: 95.5982, loss: 0.1386 2023-02-24 07:51:02,091 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 1 day, 11:38:57, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0869, decode.acc_seg: 96.6101, aux.loss_ce: 0.0458, aux.acc_seg: 95.6175, loss: 0.1328 2023-02-24 07:51:49,796 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 1 day, 11:38:05, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0917, decode.acc_seg: 96.4842, aux.loss_ce: 0.0487, aux.acc_seg: 95.4744, loss: 0.1404 2023-02-24 07:52:37,226 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 1 day, 11:37:11, time: 0.949, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0867, decode.acc_seg: 96.6362, aux.loss_ce: 0.0459, aux.acc_seg: 95.6146, loss: 0.1326 2023-02-24 07:53:27,838 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 1 day, 11:36:33, time: 1.012, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0896, decode.acc_seg: 96.5416, aux.loss_ce: 0.0475, aux.acc_seg: 95.5121, loss: 0.1372 2023-02-24 07:54:15,428 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 1 day, 11:35:40, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0866, decode.acc_seg: 96.6332, aux.loss_ce: 0.0457, aux.acc_seg: 95.6590, loss: 0.1323 2023-02-24 07:55:03,350 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 1 day, 11:34:49, time: 0.958, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0918, decode.acc_seg: 96.4540, aux.loss_ce: 0.0464, aux.acc_seg: 95.5931, loss: 0.1382 2023-02-24 07:55:50,876 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 1 day, 11:33:57, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0890, decode.acc_seg: 96.5481, aux.loss_ce: 0.0472, aux.acc_seg: 95.5342, loss: 0.1363 2023-02-24 07:56:41,368 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 1 day, 11:33:18, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0850, decode.acc_seg: 96.7225, aux.loss_ce: 0.0455, aux.acc_seg: 95.6845, loss: 0.1304 2023-02-24 07:57:28,905 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 07:57:28,905 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 1 day, 11:32:25, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0842, decode.acc_seg: 96.7384, aux.loss_ce: 0.0443, aux.acc_seg: 95.7682, loss: 0.1285 2023-02-24 07:58:16,494 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 1 day, 11:31:32, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.1013, decode.acc_seg: 96.1646, aux.loss_ce: 0.0485, aux.acc_seg: 95.4480, loss: 0.1498 2023-02-24 07:59:06,595 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 1 day, 11:30:51, time: 1.002, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0885, decode.acc_seg: 96.6131, aux.loss_ce: 0.0455, aux.acc_seg: 95.6802, loss: 0.1340 2023-02-24 07:59:53,960 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 1 day, 11:29:58, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0904, decode.acc_seg: 96.5409, aux.loss_ce: 0.0461, aux.acc_seg: 95.6604, loss: 0.1365 2023-02-24 08:00:41,400 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 1 day, 11:29:05, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0920, decode.acc_seg: 96.4970, aux.loss_ce: 0.0466, aux.acc_seg: 95.6820, loss: 0.1386 2023-02-24 08:01:29,035 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 1 day, 11:28:12, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0871, decode.acc_seg: 96.6862, aux.loss_ce: 0.0445, aux.acc_seg: 95.8233, loss: 0.1316 2023-02-24 08:02:19,468 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 1 day, 11:27:33, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6606, aux.loss_ce: 0.0453, aux.acc_seg: 95.7361, loss: 0.1317 2023-02-24 08:03:06,814 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 1 day, 11:26:39, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0888, decode.acc_seg: 96.5819, aux.loss_ce: 0.0465, aux.acc_seg: 95.6172, loss: 0.1352 2023-02-24 08:03:54,156 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 1 day, 11:25:46, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0862, decode.acc_seg: 96.6273, aux.loss_ce: 0.0443, aux.acc_seg: 95.7887, loss: 0.1305 2023-02-24 08:04:41,759 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 1 day, 11:24:53, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0920, decode.acc_seg: 96.4723, aux.loss_ce: 0.0473, aux.acc_seg: 95.5178, loss: 0.1393 2023-02-24 08:05:31,828 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 1 day, 11:24:12, time: 1.001, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0836, decode.acc_seg: 96.7567, aux.loss_ce: 0.0435, aux.acc_seg: 95.8804, loss: 0.1270 2023-02-24 08:06:19,112 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 1 day, 11:23:18, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0942, decode.acc_seg: 96.3422, aux.loss_ce: 0.0477, aux.acc_seg: 95.5063, loss: 0.1419 2023-02-24 08:07:06,420 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 1 day, 11:22:25, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0964, decode.acc_seg: 96.3366, aux.loss_ce: 0.0472, aux.acc_seg: 95.4708, loss: 0.1436 2023-02-24 08:07:57,036 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 1 day, 11:21:46, time: 1.012, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0955, decode.acc_seg: 96.3521, aux.loss_ce: 0.0491, aux.acc_seg: 95.3875, loss: 0.1446 2023-02-24 08:08:44,471 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 1 day, 11:20:53, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.1012, decode.acc_seg: 96.2445, aux.loss_ce: 0.0500, aux.acc_seg: 95.3796, loss: 0.1512 2023-02-24 08:09:31,922 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 1 day, 11:20:00, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0886, decode.acc_seg: 96.5806, aux.loss_ce: 0.0459, aux.acc_seg: 95.6599, loss: 0.1346 2023-02-24 08:10:19,392 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 1 day, 11:19:07, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0899, decode.acc_seg: 96.5607, aux.loss_ce: 0.0471, aux.acc_seg: 95.5516, loss: 0.1369 2023-02-24 08:11:10,155 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 1 day, 11:18:29, time: 1.015, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0884, decode.acc_seg: 96.5765, aux.loss_ce: 0.0469, aux.acc_seg: 95.5571, loss: 0.1353 2023-02-24 08:11:57,964 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 1 day, 11:17:38, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0866, decode.acc_seg: 96.6564, aux.loss_ce: 0.0468, aux.acc_seg: 95.5959, loss: 0.1334 2023-02-24 08:12:45,763 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 1 day, 11:16:46, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0902, decode.acc_seg: 96.5127, aux.loss_ce: 0.0470, aux.acc_seg: 95.5616, loss: 0.1372 2023-02-24 08:13:33,193 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 08:13:33,194 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 1 day, 11:15:53, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0890, decode.acc_seg: 96.5862, aux.loss_ce: 0.0473, aux.acc_seg: 95.5228, loss: 0.1362 2023-02-24 08:14:23,991 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 1 day, 11:15:15, time: 1.016, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0901, decode.acc_seg: 96.5204, aux.loss_ce: 0.0457, aux.acc_seg: 95.6842, loss: 0.1358 2023-02-24 08:15:11,332 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 1 day, 11:14:22, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0856, decode.acc_seg: 96.6624, aux.loss_ce: 0.0454, aux.acc_seg: 95.6563, loss: 0.1310 2023-02-24 08:15:59,390 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 1 day, 11:13:31, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.1019, decode.acc_seg: 96.1079, aux.loss_ce: 0.0504, aux.acc_seg: 95.2558, loss: 0.1523 2023-02-24 08:16:46,775 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 1 day, 11:12:38, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0914, decode.acc_seg: 96.4635, aux.loss_ce: 0.0468, aux.acc_seg: 95.5632, loss: 0.1382 2023-02-24 08:17:37,605 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 1 day, 11:12:00, time: 1.017, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0886, decode.acc_seg: 96.5614, aux.loss_ce: 0.0464, aux.acc_seg: 95.5718, loss: 0.1351 2023-02-24 08:18:25,079 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 1 day, 11:11:07, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0881, decode.acc_seg: 96.5774, aux.loss_ce: 0.0461, aux.acc_seg: 95.5966, loss: 0.1343 2023-02-24 08:19:12,785 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 1 day, 11:10:16, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0845, decode.acc_seg: 96.7383, aux.loss_ce: 0.0452, aux.acc_seg: 95.7105, loss: 0.1296 2023-02-24 08:20:03,108 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 1 day, 11:09:35, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6023, aux.loss_ce: 0.0454, aux.acc_seg: 95.6620, loss: 0.1318 2023-02-24 08:20:50,719 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 1 day, 11:08:43, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0897, decode.acc_seg: 96.5426, aux.loss_ce: 0.0481, aux.acc_seg: 95.4392, loss: 0.1377 2023-02-24 08:21:38,589 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 1 day, 11:07:52, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0886, decode.acc_seg: 96.5658, aux.loss_ce: 0.0465, aux.acc_seg: 95.5956, loss: 0.1351 2023-02-24 08:22:26,346 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 1 day, 11:07:01, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0815, decode.acc_seg: 96.8404, aux.loss_ce: 0.0435, aux.acc_seg: 95.8744, loss: 0.1250 2023-02-24 08:23:16,931 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 1 day, 11:06:21, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0924, decode.acc_seg: 96.4176, aux.loss_ce: 0.0468, aux.acc_seg: 95.5786, loss: 0.1392 2023-02-24 08:24:04,622 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 1 day, 11:05:30, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0826, decode.acc_seg: 96.8096, aux.loss_ce: 0.0442, aux.acc_seg: 95.7981, loss: 0.1268 2023-02-24 08:24:52,049 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 1 day, 11:04:37, time: 0.949, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0868, decode.acc_seg: 96.6518, aux.loss_ce: 0.0457, aux.acc_seg: 95.6992, loss: 0.1325 2023-02-24 08:25:39,480 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 1 day, 11:03:44, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6478, aux.loss_ce: 0.0469, aux.acc_seg: 95.5651, loss: 0.1334 2023-02-24 08:26:30,275 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 1 day, 11:03:05, time: 1.016, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6526, aux.loss_ce: 0.0458, aux.acc_seg: 95.6708, loss: 0.1322 2023-02-24 08:27:17,720 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 1 day, 11:02:13, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0792, decode.acc_seg: 96.9157, aux.loss_ce: 0.0439, aux.acc_seg: 95.8314, loss: 0.1232 2023-02-24 08:28:04,963 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 1 day, 11:01:19, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0841, decode.acc_seg: 96.7082, aux.loss_ce: 0.0445, aux.acc_seg: 95.7895, loss: 0.1286 2023-02-24 08:28:55,460 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 1 day, 11:00:39, time: 1.010, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0854, decode.acc_seg: 96.6393, aux.loss_ce: 0.0452, aux.acc_seg: 95.6784, loss: 0.1307 2023-02-24 08:29:43,058 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 08:29:43,058 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 1 day, 10:59:47, time: 0.952, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0806, decode.acc_seg: 96.8703, aux.loss_ce: 0.0438, aux.acc_seg: 95.8496, loss: 0.1245 2023-02-24 08:30:30,896 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 1 day, 10:58:56, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0831, decode.acc_seg: 96.7800, aux.loss_ce: 0.0442, aux.acc_seg: 95.8140, loss: 0.1273 2023-02-24 08:31:18,204 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 1 day, 10:58:03, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0903, decode.acc_seg: 96.5394, aux.loss_ce: 0.0472, aux.acc_seg: 95.5570, loss: 0.1375 2023-02-24 08:32:09,166 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 1 day, 10:57:25, time: 1.019, data_time: 0.083, memory: 24831, decode.loss_ce: 0.0893, decode.acc_seg: 96.5859, aux.loss_ce: 0.0462, aux.acc_seg: 95.6540, loss: 0.1355 2023-02-24 08:32:56,520 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 1 day, 10:56:32, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0869, decode.acc_seg: 96.6138, aux.loss_ce: 0.0430, aux.acc_seg: 95.8796, loss: 0.1299 2023-02-24 08:33:43,968 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 1 day, 10:55:39, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0843, decode.acc_seg: 96.7164, aux.loss_ce: 0.0439, aux.acc_seg: 95.8123, loss: 0.1282 2023-02-24 08:34:31,440 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 1 day, 10:54:46, time: 0.949, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0853, decode.acc_seg: 96.6968, aux.loss_ce: 0.0466, aux.acc_seg: 95.5696, loss: 0.1319 2023-02-24 08:35:23,348 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 1 day, 10:54:13, time: 1.038, data_time: 0.099, memory: 24831, decode.loss_ce: 0.0871, decode.acc_seg: 96.5968, aux.loss_ce: 0.0461, aux.acc_seg: 95.6460, loss: 0.1332 2023-02-24 08:36:10,740 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 1 day, 10:53:20, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0881, decode.acc_seg: 96.6182, aux.loss_ce: 0.0452, aux.acc_seg: 95.7152, loss: 0.1333 2023-02-24 08:36:58,143 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 1 day, 10:52:27, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6420, aux.loss_ce: 0.0443, aux.acc_seg: 95.8032, loss: 0.1307 2023-02-24 08:37:45,670 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 1 day, 10:51:34, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6506, aux.loss_ce: 0.0477, aux.acc_seg: 95.4621, loss: 0.1343 2023-02-24 08:38:36,694 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 1 day, 10:50:57, time: 1.020, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0873, decode.acc_seg: 96.5999, aux.loss_ce: 0.0447, aux.acc_seg: 95.7602, loss: 0.1320 2023-02-24 08:39:24,225 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 1 day, 10:50:04, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0936, decode.acc_seg: 96.4180, aux.loss_ce: 0.0470, aux.acc_seg: 95.5798, loss: 0.1405 2023-02-24 08:40:11,764 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 1 day, 10:49:12, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6618, aux.loss_ce: 0.0444, aux.acc_seg: 95.7918, loss: 0.1309 2023-02-24 08:41:02,170 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 1 day, 10:48:32, time: 1.008, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0854, decode.acc_seg: 96.6853, aux.loss_ce: 0.0449, aux.acc_seg: 95.6774, loss: 0.1303 2023-02-24 08:41:49,572 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 1 day, 10:47:39, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0861, decode.acc_seg: 96.6527, aux.loss_ce: 0.0460, aux.acc_seg: 95.6035, loss: 0.1321 2023-02-24 08:42:36,889 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 1 day, 10:46:46, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6692, aux.loss_ce: 0.0462, aux.acc_seg: 95.6289, loss: 0.1327 2023-02-24 08:43:24,266 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 1 day, 10:45:53, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0867, decode.acc_seg: 96.6320, aux.loss_ce: 0.0445, aux.acc_seg: 95.7618, loss: 0.1312 2023-02-24 08:44:14,777 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 1 day, 10:45:13, time: 1.010, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0789, decode.acc_seg: 96.9091, aux.loss_ce: 0.0424, aux.acc_seg: 95.9511, loss: 0.1212 2023-02-24 08:45:02,441 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 1 day, 10:44:21, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0848, decode.acc_seg: 96.6897, aux.loss_ce: 0.0440, aux.acc_seg: 95.7808, loss: 0.1288 2023-02-24 08:45:49,979 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 08:45:49,979 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 1 day, 10:43:29, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0849, decode.acc_seg: 96.7289, aux.loss_ce: 0.0449, aux.acc_seg: 95.7456, loss: 0.1299 2023-02-24 08:46:37,406 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 1 day, 10:42:36, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0916, decode.acc_seg: 96.4910, aux.loss_ce: 0.0475, aux.acc_seg: 95.5551, loss: 0.1391 2023-02-24 08:47:28,132 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 1 day, 10:41:57, time: 1.015, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0861, decode.acc_seg: 96.6679, aux.loss_ce: 0.0449, aux.acc_seg: 95.7329, loss: 0.1310 2023-02-24 08:48:15,607 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 1 day, 10:41:04, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0828, decode.acc_seg: 96.7757, aux.loss_ce: 0.0430, aux.acc_seg: 95.8744, loss: 0.1258 2023-02-24 08:49:03,055 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 1 day, 10:40:12, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0843, decode.acc_seg: 96.7328, aux.loss_ce: 0.0451, aux.acc_seg: 95.6961, loss: 0.1293 2023-02-24 08:49:53,883 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 1 day, 10:39:33, time: 1.017, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.5974, aux.loss_ce: 0.0468, aux.acc_seg: 95.5574, loss: 0.1332 2023-02-24 08:50:41,278 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 1 day, 10:38:40, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0862, decode.acc_seg: 96.6651, aux.loss_ce: 0.0453, aux.acc_seg: 95.7171, loss: 0.1315 2023-02-24 08:51:28,694 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 1 day, 10:37:48, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0826, decode.acc_seg: 96.7602, aux.loss_ce: 0.0441, aux.acc_seg: 95.8052, loss: 0.1267 2023-02-24 08:52:16,218 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 1 day, 10:36:55, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0854, decode.acc_seg: 96.6676, aux.loss_ce: 0.0447, aux.acc_seg: 95.7627, loss: 0.1301 2023-02-24 08:53:07,353 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 1 day, 10:36:18, time: 1.023, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0824, decode.acc_seg: 96.7469, aux.loss_ce: 0.0436, aux.acc_seg: 95.8325, loss: 0.1259 2023-02-24 08:53:54,958 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 1 day, 10:35:26, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0864, decode.acc_seg: 96.6255, aux.loss_ce: 0.0451, aux.acc_seg: 95.6866, loss: 0.1314 2023-02-24 08:54:42,717 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 1 day, 10:34:35, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.8086, aux.loss_ce: 0.0434, aux.acc_seg: 95.8777, loss: 0.1259 2023-02-24 08:55:30,596 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 1 day, 10:33:44, time: 0.958, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0843, decode.acc_seg: 96.7286, aux.loss_ce: 0.0447, aux.acc_seg: 95.7323, loss: 0.1290 2023-02-24 08:56:21,460 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 1 day, 10:33:05, time: 1.017, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0836, decode.acc_seg: 96.7756, aux.loss_ce: 0.0444, aux.acc_seg: 95.7876, loss: 0.1280 2023-02-24 08:57:08,934 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 1 day, 10:32:13, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6446, aux.loss_ce: 0.0460, aux.acc_seg: 95.6310, loss: 0.1325 2023-02-24 08:57:56,457 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 1 day, 10:31:21, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0849, decode.acc_seg: 96.6831, aux.loss_ce: 0.0438, aux.acc_seg: 95.8385, loss: 0.1287 2023-02-24 08:58:43,833 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 1 day, 10:30:28, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0858, decode.acc_seg: 96.6578, aux.loss_ce: 0.0447, aux.acc_seg: 95.7598, loss: 0.1305 2023-02-24 08:59:33,915 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 1 day, 10:29:46, time: 1.002, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0827, decode.acc_seg: 96.7980, aux.loss_ce: 0.0443, aux.acc_seg: 95.8259, loss: 0.1270 2023-02-24 09:00:21,446 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 1 day, 10:28:54, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0828, decode.acc_seg: 96.7779, aux.loss_ce: 0.0441, aux.acc_seg: 95.8385, loss: 0.1269 2023-02-24 09:01:08,702 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 1 day, 10:28:00, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0798, decode.acc_seg: 96.8661, aux.loss_ce: 0.0426, aux.acc_seg: 95.9171, loss: 0.1223 2023-02-24 09:01:58,862 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-02-24 09:02:00,701 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:02:00,703 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 1 day, 10:27:26, time: 1.040, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0806, decode.acc_seg: 96.8770, aux.loss_ce: 0.0439, aux.acc_seg: 95.8197, loss: 0.1245 2023-02-24 09:02:58,230 - mmseg - INFO - per class results: 2023-02-24 09:02:58,233 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.17 | 99.44 | | sidewalk | 85.23 | 89.16 | | building | 93.02 | 96.39 | | wall | 58.63 | 66.68 | | fence | 63.98 | 80.09 | | pole | 68.68 | 79.21 | | traffic light | 72.67 | 84.15 | | traffic sign | 81.51 | 88.67 | | vegetation | 92.74 | 96.65 | | terrain | 65.26 | 79.67 | | sky | 94.96 | 98.44 | | person | 83.69 | 93.2 | | rider | 62.17 | 81.37 | | car | 95.46 | 98.1 | | truck | 78.49 | 81.63 | | bus | 90.34 | 94.66 | | train | 86.72 | 92.58 | | motorcycle | 51.83 | 53.61 | | bicycle | 78.99 | 85.76 | +---------------+-------+-------+ 2023-02-24 09:02:58,233 - mmseg - INFO - Summary: 2023-02-24 09:02:58,234 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.31 | 79.08 | 86.29 | +-------+-------+-------+ 2023-02-24 09:02:58,246 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_16000.pth was removed 2023-02-24 09:03:00,014 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-02-24 09:03:00,015 - mmseg - INFO - Best mIoU is 0.7908 at 32000 iter. 2023-02-24 09:03:00,015 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:03:00,015 - mmseg - INFO - Iter(val) [125] aAcc: 0.9631, mIoU: 0.7908, mAcc: 0.8629, IoU.road: 0.9817, IoU.sidewalk: 0.8523, IoU.building: 0.9302, IoU.wall: 0.5863, IoU.fence: 0.6398, IoU.pole: 0.6868, IoU.traffic light: 0.7267, IoU.traffic sign: 0.8151, IoU.vegetation: 0.9274, IoU.terrain: 0.6526, IoU.sky: 0.9496, IoU.person: 0.8369, IoU.rider: 0.6217, IoU.car: 0.9546, IoU.truck: 0.7849, IoU.bus: 0.9034, IoU.train: 0.8672, IoU.motorcycle: 0.5183, IoU.bicycle: 0.7899, Acc.road: 0.9944, Acc.sidewalk: 0.8916, Acc.building: 0.9639, Acc.wall: 0.6668, Acc.fence: 0.8009, Acc.pole: 0.7921, Acc.traffic light: 0.8415, Acc.traffic sign: 0.8867, Acc.vegetation: 0.9665, Acc.terrain: 0.7967, Acc.sky: 0.9844, Acc.person: 0.9320, Acc.rider: 0.8137, Acc.car: 0.9810, Acc.truck: 0.8163, Acc.bus: 0.9466, Acc.train: 0.9258, Acc.motorcycle: 0.5361, Acc.bicycle: 0.8576 2023-02-24 09:03:47,709 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 1 day, 10:30:32, time: 2.140, data_time: 1.197, memory: 24831, decode.loss_ce: 0.0875, decode.acc_seg: 96.6032, aux.loss_ce: 0.0470, aux.acc_seg: 95.5435, loss: 0.1345 2023-02-24 09:04:35,421 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 1 day, 10:29:40, time: 0.954, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0824, decode.acc_seg: 96.8282, aux.loss_ce: 0.0427, aux.acc_seg: 95.9775, loss: 0.1251 2023-02-24 09:05:22,990 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 1 day, 10:28:47, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0863, decode.acc_seg: 96.6269, aux.loss_ce: 0.0457, aux.acc_seg: 95.5755, loss: 0.1320 2023-02-24 09:06:14,359 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 1 day, 10:28:10, time: 1.028, data_time: 0.062, memory: 24831, decode.loss_ce: 0.0934, decode.acc_seg: 96.3262, aux.loss_ce: 0.0471, aux.acc_seg: 95.4894, loss: 0.1405 2023-02-24 09:07:01,838 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 1 day, 10:27:17, time: 0.950, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0944, decode.acc_seg: 96.4412, aux.loss_ce: 0.0475, aux.acc_seg: 95.6075, loss: 0.1420 2023-02-24 09:07:49,622 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 1 day, 10:26:26, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0785, decode.acc_seg: 96.9306, aux.loss_ce: 0.0418, aux.acc_seg: 95.9993, loss: 0.1203 2023-02-24 09:08:37,136 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 1 day, 10:25:33, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0881, decode.acc_seg: 96.6344, aux.loss_ce: 0.0470, aux.acc_seg: 95.5628, loss: 0.1351 2023-02-24 09:09:27,620 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 1 day, 10:24:52, time: 1.010, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0860, decode.acc_seg: 96.6875, aux.loss_ce: 0.0456, aux.acc_seg: 95.6661, loss: 0.1316 2023-02-24 09:10:15,345 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 1 day, 10:24:00, time: 0.954, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0916, decode.acc_seg: 96.4529, aux.loss_ce: 0.0460, aux.acc_seg: 95.6180, loss: 0.1376 2023-02-24 09:11:02,634 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 1 day, 10:23:07, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0847, decode.acc_seg: 96.7000, aux.loss_ce: 0.0439, aux.acc_seg: 95.8015, loss: 0.1285 2023-02-24 09:11:50,041 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 1 day, 10:22:14, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0832, decode.acc_seg: 96.7292, aux.loss_ce: 0.0473, aux.acc_seg: 95.5713, loss: 0.1305 2023-02-24 09:12:41,227 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 1 day, 10:21:36, time: 1.024, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0830, decode.acc_seg: 96.7925, aux.loss_ce: 0.0455, aux.acc_seg: 95.6633, loss: 0.1286 2023-02-24 09:13:28,597 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 1 day, 10:20:42, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.7885, aux.loss_ce: 0.0426, aux.acc_seg: 95.9682, loss: 0.1251 2023-02-24 09:14:16,143 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 1 day, 10:19:50, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0821, decode.acc_seg: 96.8011, aux.loss_ce: 0.0454, aux.acc_seg: 95.6639, loss: 0.1275 2023-02-24 09:15:06,832 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 1 day, 10:19:10, time: 1.014, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0826, decode.acc_seg: 96.7707, aux.loss_ce: 0.0450, aux.acc_seg: 95.7038, loss: 0.1276 2023-02-24 09:15:54,422 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 1 day, 10:18:17, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0832, decode.acc_seg: 96.7264, aux.loss_ce: 0.0437, aux.acc_seg: 95.7668, loss: 0.1269 2023-02-24 09:16:41,996 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 1 day, 10:17:25, time: 0.952, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0839, decode.acc_seg: 96.6874, aux.loss_ce: 0.0434, aux.acc_seg: 95.8338, loss: 0.1273 2023-02-24 09:17:29,313 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 1 day, 10:16:32, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0823, decode.acc_seg: 96.8085, aux.loss_ce: 0.0430, aux.acc_seg: 95.9511, loss: 0.1253 2023-02-24 09:18:19,962 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 1 day, 10:15:51, time: 1.013, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0844, decode.acc_seg: 96.7236, aux.loss_ce: 0.0442, aux.acc_seg: 95.8036, loss: 0.1286 2023-02-24 09:19:08,107 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:19:08,107 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 1 day, 10:15:01, time: 0.963, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0837, decode.acc_seg: 96.7815, aux.loss_ce: 0.0444, aux.acc_seg: 95.8054, loss: 0.1280 2023-02-24 09:19:55,799 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 1 day, 10:14:10, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0834, decode.acc_seg: 96.7506, aux.loss_ce: 0.0437, aux.acc_seg: 95.8511, loss: 0.1271 2023-02-24 09:20:43,254 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 1 day, 10:13:17, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0807, decode.acc_seg: 96.8390, aux.loss_ce: 0.0442, aux.acc_seg: 95.7840, loss: 0.1249 2023-02-24 09:21:33,402 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 1 day, 10:12:34, time: 1.003, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0804, decode.acc_seg: 96.8495, aux.loss_ce: 0.0443, aux.acc_seg: 95.7820, loss: 0.1247 2023-02-24 09:22:20,865 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 1 day, 10:11:42, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0831, decode.acc_seg: 96.7735, aux.loss_ce: 0.0447, aux.acc_seg: 95.7226, loss: 0.1279 2023-02-24 09:23:08,359 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 1 day, 10:10:49, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0832, decode.acc_seg: 96.7349, aux.loss_ce: 0.0450, aux.acc_seg: 95.7122, loss: 0.1282 2023-02-24 09:23:58,829 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 1 day, 10:10:08, time: 1.009, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0843, decode.acc_seg: 96.7713, aux.loss_ce: 0.0440, aux.acc_seg: 95.8214, loss: 0.1282 2023-02-24 09:24:46,256 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 1 day, 10:09:15, time: 0.949, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0879, decode.acc_seg: 96.6026, aux.loss_ce: 0.0454, aux.acc_seg: 95.6938, loss: 0.1333 2023-02-24 09:25:33,750 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 1 day, 10:08:23, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0809, decode.acc_seg: 96.8528, aux.loss_ce: 0.0456, aux.acc_seg: 95.7339, loss: 0.1265 2023-02-24 09:26:21,781 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 1 day, 10:07:32, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0826, decode.acc_seg: 96.7949, aux.loss_ce: 0.0436, aux.acc_seg: 95.8546, loss: 0.1262 2023-02-24 09:27:12,315 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 1 day, 10:06:51, time: 1.011, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0810, decode.acc_seg: 96.8328, aux.loss_ce: 0.0447, aux.acc_seg: 95.7179, loss: 0.1257 2023-02-24 09:27:59,904 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 1 day, 10:05:59, time: 0.952, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0828, decode.acc_seg: 96.7640, aux.loss_ce: 0.0449, aux.acc_seg: 95.6974, loss: 0.1277 2023-02-24 09:28:47,419 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 1 day, 10:05:07, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0892, decode.acc_seg: 96.5719, aux.loss_ce: 0.0455, aux.acc_seg: 95.6692, loss: 0.1348 2023-02-24 09:29:35,109 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 1 day, 10:04:15, time: 0.954, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6263, aux.loss_ce: 0.0443, aux.acc_seg: 95.7467, loss: 0.1308 2023-02-24 09:30:25,641 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 1 day, 10:03:34, time: 1.011, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0830, decode.acc_seg: 96.7934, aux.loss_ce: 0.0467, aux.acc_seg: 95.6133, loss: 0.1297 2023-02-24 09:31:12,969 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 1 day, 10:02:41, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0813, decode.acc_seg: 96.8322, aux.loss_ce: 0.0425, aux.acc_seg: 95.9352, loss: 0.1238 2023-02-24 09:32:00,285 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 1 day, 10:01:48, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0862, decode.acc_seg: 96.6324, aux.loss_ce: 0.0448, aux.acc_seg: 95.6933, loss: 0.1310 2023-02-24 09:32:47,840 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 1 day, 10:00:55, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0815, decode.acc_seg: 96.8345, aux.loss_ce: 0.0422, aux.acc_seg: 95.9815, loss: 0.1237 2023-02-24 09:33:38,160 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 1 day, 10:00:14, time: 1.007, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0802, decode.acc_seg: 96.8797, aux.loss_ce: 0.0427, aux.acc_seg: 95.9209, loss: 0.1229 2023-02-24 09:34:25,541 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 1 day, 9:59:21, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0815, decode.acc_seg: 96.8154, aux.loss_ce: 0.0427, aux.acc_seg: 95.9181, loss: 0.1242 2023-02-24 09:35:12,791 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:35:12,792 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 1 day, 9:58:28, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.7763, aux.loss_ce: 0.0436, aux.acc_seg: 95.8409, loss: 0.1260 2023-02-24 09:36:02,729 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 1 day, 9:57:44, time: 0.999, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0807, decode.acc_seg: 96.8606, aux.loss_ce: 0.0424, aux.acc_seg: 95.9691, loss: 0.1231 2023-02-24 09:36:50,017 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 1 day, 9:56:51, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0798, decode.acc_seg: 96.8623, aux.loss_ce: 0.0430, aux.acc_seg: 95.9087, loss: 0.1228 2023-02-24 09:37:37,414 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 1 day, 9:55:58, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0762, decode.acc_seg: 97.0246, aux.loss_ce: 0.0424, aux.acc_seg: 95.9643, loss: 0.1187 2023-02-24 09:38:25,127 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 1 day, 9:55:07, time: 0.954, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0798, decode.acc_seg: 96.9009, aux.loss_ce: 0.0434, aux.acc_seg: 95.8747, loss: 0.1233 2023-02-24 09:39:15,351 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 1 day, 9:54:24, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.7941, aux.loss_ce: 0.0439, aux.acc_seg: 95.8507, loss: 0.1264 2023-02-24 09:40:02,682 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 1 day, 9:53:31, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0833, decode.acc_seg: 96.7362, aux.loss_ce: 0.0448, aux.acc_seg: 95.7053, loss: 0.1281 2023-02-24 09:40:50,615 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 1 day, 9:52:41, time: 0.959, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.7905, aux.loss_ce: 0.0443, aux.acc_seg: 95.7761, loss: 0.1268 2023-02-24 09:41:38,121 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 1 day, 9:51:48, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0965, decode.acc_seg: 96.3026, aux.loss_ce: 0.0465, aux.acc_seg: 95.6428, loss: 0.1430 2023-02-24 09:42:28,474 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 1 day, 9:51:06, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0887, decode.acc_seg: 96.5333, aux.loss_ce: 0.0453, aux.acc_seg: 95.6502, loss: 0.1340 2023-02-24 09:43:15,974 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 1 day, 9:50:14, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0833, decode.acc_seg: 96.7416, aux.loss_ce: 0.0436, aux.acc_seg: 95.8373, loss: 0.1269 2023-02-24 09:44:03,574 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 1 day, 9:49:22, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0767, decode.acc_seg: 97.0197, aux.loss_ce: 0.0407, aux.acc_seg: 96.1410, loss: 0.1174 2023-02-24 09:44:53,750 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 1 day, 9:48:40, time: 1.004, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0830, decode.acc_seg: 96.7564, aux.loss_ce: 0.0445, aux.acc_seg: 95.7503, loss: 0.1275 2023-02-24 09:45:41,080 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 1 day, 9:47:47, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0874, decode.acc_seg: 96.7071, aux.loss_ce: 0.0440, aux.acc_seg: 95.8323, loss: 0.1314 2023-02-24 09:46:28,797 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 1 day, 9:46:55, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0822, decode.acc_seg: 96.7939, aux.loss_ce: 0.0440, aux.acc_seg: 95.8089, loss: 0.1262 2023-02-24 09:47:16,241 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 1 day, 9:46:03, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0826, decode.acc_seg: 96.7841, aux.loss_ce: 0.0426, aux.acc_seg: 95.9344, loss: 0.1253 2023-02-24 09:48:06,324 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 1 day, 9:45:20, time: 1.002, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0778, decode.acc_seg: 96.9440, aux.loss_ce: 0.0441, aux.acc_seg: 95.7686, loss: 0.1219 2023-02-24 09:48:53,931 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 1 day, 9:44:28, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0836, decode.acc_seg: 96.7508, aux.loss_ce: 0.0445, aux.acc_seg: 95.7528, loss: 0.1281 2023-02-24 09:49:41,183 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 1 day, 9:43:35, time: 0.945, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0805, decode.acc_seg: 96.8256, aux.loss_ce: 0.0431, aux.acc_seg: 95.8337, loss: 0.1236 2023-02-24 09:50:28,528 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 1 day, 9:42:42, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0794, decode.acc_seg: 96.8939, aux.loss_ce: 0.0428, aux.acc_seg: 95.9072, loss: 0.1222 2023-02-24 09:51:19,373 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:51:19,374 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 1 day, 9:42:02, time: 1.017, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0756, decode.acc_seg: 97.0409, aux.loss_ce: 0.0421, aux.acc_seg: 95.9716, loss: 0.1177 2023-02-24 09:52:07,488 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 1 day, 9:41:12, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0801, decode.acc_seg: 96.8342, aux.loss_ce: 0.0424, aux.acc_seg: 95.9362, loss: 0.1225 2023-02-24 09:52:56,176 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 1 day, 9:40:24, time: 0.974, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0801, decode.acc_seg: 96.8791, aux.loss_ce: 0.0439, aux.acc_seg: 95.8041, loss: 0.1239 2023-02-24 09:53:43,516 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 1 day, 9:39:31, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0808, decode.acc_seg: 96.8791, aux.loss_ce: 0.0432, aux.acc_seg: 95.9135, loss: 0.1239 2023-02-24 09:54:33,809 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 1 day, 9:38:49, time: 1.006, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0784, decode.acc_seg: 96.9264, aux.loss_ce: 0.0419, aux.acc_seg: 95.9685, loss: 0.1203 2023-02-24 09:55:21,262 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 1 day, 9:37:57, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0819, decode.acc_seg: 96.8181, aux.loss_ce: 0.0442, aux.acc_seg: 95.8301, loss: 0.1261 2023-02-24 09:56:08,903 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 1 day, 9:37:05, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0763, decode.acc_seg: 97.0297, aux.loss_ce: 0.0416, aux.acc_seg: 96.0161, loss: 0.1179 2023-02-24 09:56:59,373 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 1 day, 9:36:23, time: 1.009, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0807, decode.acc_seg: 96.8700, aux.loss_ce: 0.0446, aux.acc_seg: 95.7334, loss: 0.1253 2023-02-24 09:57:47,090 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 1 day, 9:35:32, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0831, decode.acc_seg: 96.7629, aux.loss_ce: 0.0451, aux.acc_seg: 95.6902, loss: 0.1282 2023-02-24 09:58:34,368 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 1 day, 9:34:39, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0838, decode.acc_seg: 96.7399, aux.loss_ce: 0.0443, aux.acc_seg: 95.7815, loss: 0.1281 2023-02-24 09:59:21,727 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 1 day, 9:33:46, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0912, decode.acc_seg: 96.4810, aux.loss_ce: 0.0459, aux.acc_seg: 95.6758, loss: 0.1371 2023-02-24 10:00:12,691 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 1 day, 9:33:06, time: 1.019, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0850, decode.acc_seg: 96.7671, aux.loss_ce: 0.0452, aux.acc_seg: 95.7301, loss: 0.1301 2023-02-24 10:01:00,338 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 1 day, 9:32:15, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0865, decode.acc_seg: 96.6400, aux.loss_ce: 0.0454, aux.acc_seg: 95.6456, loss: 0.1319 2023-02-24 10:01:47,768 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 1 day, 9:31:22, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0796, decode.acc_seg: 96.8932, aux.loss_ce: 0.0427, aux.acc_seg: 95.9176, loss: 0.1223 2023-02-24 10:02:35,340 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 1 day, 9:30:31, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0798, decode.acc_seg: 96.8888, aux.loss_ce: 0.0431, aux.acc_seg: 95.8887, loss: 0.1229 2023-02-24 10:03:25,706 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 1 day, 9:29:48, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.7731, aux.loss_ce: 0.0431, aux.acc_seg: 95.8356, loss: 0.1256 2023-02-24 10:04:13,262 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 1 day, 9:28:57, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0788, decode.acc_seg: 96.8972, aux.loss_ce: 0.0418, aux.acc_seg: 95.9803, loss: 0.1206 2023-02-24 10:05:01,117 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 1 day, 9:28:06, time: 0.957, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0787, decode.acc_seg: 96.9014, aux.loss_ce: 0.0418, aux.acc_seg: 95.9689, loss: 0.1205 2023-02-24 10:05:51,470 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 1 day, 9:27:24, time: 1.007, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0787, decode.acc_seg: 96.9216, aux.loss_ce: 0.0422, aux.acc_seg: 95.9652, loss: 0.1209 2023-02-24 10:06:39,092 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 1 day, 9:26:32, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0825, decode.acc_seg: 96.7700, aux.loss_ce: 0.0442, aux.acc_seg: 95.7680, loss: 0.1266 2023-02-24 10:07:26,415 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:07:26,415 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 1 day, 9:25:39, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0802, decode.acc_seg: 96.8571, aux.loss_ce: 0.0412, aux.acc_seg: 96.0721, loss: 0.1214 2023-02-24 10:08:13,898 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 1 day, 9:24:47, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0800, decode.acc_seg: 96.8574, aux.loss_ce: 0.0451, aux.acc_seg: 95.6837, loss: 0.1251 2023-02-24 10:09:04,584 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 1 day, 9:24:06, time: 1.014, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0823, decode.acc_seg: 96.8027, aux.loss_ce: 0.0431, aux.acc_seg: 95.8721, loss: 0.1254 2023-02-24 10:09:51,937 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 1 day, 9:23:13, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0808, decode.acc_seg: 96.8152, aux.loss_ce: 0.0448, aux.acc_seg: 95.6727, loss: 0.1256 2023-02-24 10:10:39,779 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 1 day, 9:22:23, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0814, decode.acc_seg: 96.8337, aux.loss_ce: 0.0438, aux.acc_seg: 95.8383, loss: 0.1252 2023-02-24 10:11:27,258 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 1 day, 9:21:31, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0861, decode.acc_seg: 96.6464, aux.loss_ce: 0.0441, aux.acc_seg: 95.8260, loss: 0.1302 2023-02-24 10:12:18,034 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 1 day, 9:20:50, time: 1.015, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0882, decode.acc_seg: 96.5411, aux.loss_ce: 0.0460, aux.acc_seg: 95.5339, loss: 0.1341 2023-02-24 10:13:06,100 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 1 day, 9:20:00, time: 0.961, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0857, decode.acc_seg: 96.6803, aux.loss_ce: 0.0437, aux.acc_seg: 95.8365, loss: 0.1293 2023-02-24 10:13:53,581 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 1 day, 9:19:08, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0884, decode.acc_seg: 96.6131, aux.loss_ce: 0.0472, aux.acc_seg: 95.5100, loss: 0.1356 2023-02-24 10:14:41,371 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 1 day, 9:18:17, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0777, decode.acc_seg: 96.9468, aux.loss_ce: 0.0432, aux.acc_seg: 95.8538, loss: 0.1209 2023-02-24 10:15:31,563 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 1 day, 9:17:34, time: 1.004, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0780, decode.acc_seg: 96.9067, aux.loss_ce: 0.0428, aux.acc_seg: 95.8532, loss: 0.1209 2023-02-24 10:16:19,236 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 1 day, 9:16:42, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0779, decode.acc_seg: 96.9394, aux.loss_ce: 0.0412, aux.acc_seg: 96.0541, loss: 0.1192 2023-02-24 10:17:06,702 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 1 day, 9:15:50, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0795, decode.acc_seg: 96.8747, aux.loss_ce: 0.0435, aux.acc_seg: 95.8000, loss: 0.1230 2023-02-24 10:17:57,228 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 1 day, 9:15:08, time: 1.010, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0807, decode.acc_seg: 96.8725, aux.loss_ce: 0.0424, aux.acc_seg: 95.9673, loss: 0.1231 2023-02-24 10:18:44,698 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 1 day, 9:14:16, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0820, decode.acc_seg: 96.7917, aux.loss_ce: 0.0439, aux.acc_seg: 95.8069, loss: 0.1259 2023-02-24 10:19:32,189 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 1 day, 9:13:24, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0799, decode.acc_seg: 96.8639, aux.loss_ce: 0.0418, aux.acc_seg: 95.9913, loss: 0.1217 2023-02-24 10:20:19,606 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 1 day, 9:12:32, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0801, decode.acc_seg: 96.8452, aux.loss_ce: 0.0421, aux.acc_seg: 95.9343, loss: 0.1222 2023-02-24 10:21:10,423 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 1 day, 9:11:51, time: 1.016, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0764, decode.acc_seg: 96.9870, aux.loss_ce: 0.0416, aux.acc_seg: 96.0081, loss: 0.1180 2023-02-24 10:21:57,710 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 1 day, 9:10:59, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0800, decode.acc_seg: 96.9710, aux.loss_ce: 0.0415, aux.acc_seg: 96.0675, loss: 0.1215 2023-02-24 10:22:45,655 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 1 day, 9:10:08, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0815, decode.acc_seg: 96.8025, aux.loss_ce: 0.0430, aux.acc_seg: 95.8479, loss: 0.1245 2023-02-24 10:23:33,103 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:23:33,104 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 1 day, 9:09:16, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0795, decode.acc_seg: 96.8800, aux.loss_ce: 0.0436, aux.acc_seg: 95.8045, loss: 0.1231 2023-02-24 10:24:23,922 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 1 day, 9:08:35, time: 1.017, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0774, decode.acc_seg: 96.9478, aux.loss_ce: 0.0425, aux.acc_seg: 95.9203, loss: 0.1199 2023-02-24 10:25:11,701 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 1 day, 9:07:44, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0811, decode.acc_seg: 96.7897, aux.loss_ce: 0.0424, aux.acc_seg: 95.8646, loss: 0.1236 2023-02-24 10:25:59,032 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 1 day, 9:06:52, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0827, decode.acc_seg: 96.7828, aux.loss_ce: 0.0442, aux.acc_seg: 95.8112, loss: 0.1269 2023-02-24 10:26:46,612 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 1 day, 9:06:00, time: 0.952, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0817, decode.acc_seg: 96.7916, aux.loss_ce: 0.0433, aux.acc_seg: 95.8284, loss: 0.1249 2023-02-24 10:27:36,902 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 1 day, 9:05:17, time: 1.006, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0801, decode.acc_seg: 96.8341, aux.loss_ce: 0.0432, aux.acc_seg: 95.8431, loss: 0.1233 2023-02-24 10:28:24,342 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 1 day, 9:04:25, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0795, decode.acc_seg: 96.9028, aux.loss_ce: 0.0433, aux.acc_seg: 95.8444, loss: 0.1228 2023-02-24 10:29:11,749 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 1 day, 9:03:33, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0775, decode.acc_seg: 96.9328, aux.loss_ce: 0.0416, aux.acc_seg: 95.9527, loss: 0.1192 2023-02-24 10:30:02,949 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 1 day, 9:02:54, time: 1.024, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0785, decode.acc_seg: 96.9388, aux.loss_ce: 0.0436, aux.acc_seg: 95.8911, loss: 0.1221 2023-02-24 10:30:50,373 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 1 day, 9:02:01, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0732, decode.acc_seg: 97.0875, aux.loss_ce: 0.0399, aux.acc_seg: 96.1314, loss: 0.1131 2023-02-24 10:31:37,955 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 1 day, 9:01:10, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0773, decode.acc_seg: 96.9836, aux.loss_ce: 0.0419, aux.acc_seg: 96.0345, loss: 0.1192 2023-02-24 10:32:25,530 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 1 day, 9:00:18, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0833, decode.acc_seg: 96.7659, aux.loss_ce: 0.0450, aux.acc_seg: 95.7451, loss: 0.1282 2023-02-24 10:33:16,570 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 1 day, 8:59:38, time: 1.021, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0793, decode.acc_seg: 96.8679, aux.loss_ce: 0.0420, aux.acc_seg: 95.9532, loss: 0.1213 2023-02-24 10:34:03,957 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 1 day, 8:58:46, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0782, decode.acc_seg: 96.9293, aux.loss_ce: 0.0420, aux.acc_seg: 95.9782, loss: 0.1202 2023-02-24 10:34:51,669 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 1 day, 8:57:55, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0791, decode.acc_seg: 96.8551, aux.loss_ce: 0.0419, aux.acc_seg: 95.9298, loss: 0.1209 2023-02-24 10:35:39,118 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 1 day, 8:57:03, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0818, decode.acc_seg: 96.8160, aux.loss_ce: 0.0449, aux.acc_seg: 95.7586, loss: 0.1267 2023-02-24 10:36:29,440 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 1 day, 8:56:20, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0769, decode.acc_seg: 96.9762, aux.loss_ce: 0.0430, aux.acc_seg: 95.8592, loss: 0.1199 2023-02-24 10:37:17,229 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 1 day, 8:55:29, time: 0.956, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0812, decode.acc_seg: 96.8001, aux.loss_ce: 0.0429, aux.acc_seg: 95.9227, loss: 0.1241 2023-02-24 10:38:04,783 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 1 day, 8:54:37, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0804, decode.acc_seg: 96.8492, aux.loss_ce: 0.0427, aux.acc_seg: 95.9380, loss: 0.1231 2023-02-24 10:38:55,672 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 1 day, 8:53:57, time: 1.018, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0776, decode.acc_seg: 96.9577, aux.loss_ce: 0.0410, aux.acc_seg: 96.0732, loss: 0.1186 2023-02-24 10:39:43,150 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:39:43,150 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 1 day, 8:53:05, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0778, decode.acc_seg: 96.9531, aux.loss_ce: 0.0413, aux.acc_seg: 96.0508, loss: 0.1191 2023-02-24 10:40:30,506 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 1 day, 8:52:12, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0758, decode.acc_seg: 97.0081, aux.loss_ce: 0.0399, aux.acc_seg: 96.1412, loss: 0.1157 2023-02-24 10:41:17,820 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 1 day, 8:51:20, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0819, decode.acc_seg: 96.7761, aux.loss_ce: 0.0423, aux.acc_seg: 95.9271, loss: 0.1242 2023-02-24 10:42:08,625 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 1 day, 8:50:39, time: 1.016, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0853, decode.acc_seg: 96.7031, aux.loss_ce: 0.0454, aux.acc_seg: 95.6892, loss: 0.1307 2023-02-24 10:42:56,335 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 1 day, 8:49:48, time: 0.954, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0788, decode.acc_seg: 96.9033, aux.loss_ce: 0.0429, aux.acc_seg: 95.9475, loss: 0.1217 2023-02-24 10:43:44,145 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 1 day, 8:48:57, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0785, decode.acc_seg: 96.8676, aux.loss_ce: 0.0413, aux.acc_seg: 95.9823, loss: 0.1198 2023-02-24 10:44:31,764 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 1 day, 8:48:06, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0762, decode.acc_seg: 96.9977, aux.loss_ce: 0.0414, aux.acc_seg: 95.9977, loss: 0.1175 2023-02-24 10:45:21,972 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 1 day, 8:47:22, time: 1.004, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0793, decode.acc_seg: 96.9168, aux.loss_ce: 0.0420, aux.acc_seg: 95.9412, loss: 0.1213 2023-02-24 10:46:09,350 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 1 day, 8:46:30, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0766, decode.acc_seg: 96.9806, aux.loss_ce: 0.0420, aux.acc_seg: 95.9581, loss: 0.1186 2023-02-24 10:46:56,782 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 1 day, 8:45:38, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0962, decode.acc_seg: 96.3607, aux.loss_ce: 0.0432, aux.acc_seg: 95.8624, loss: 0.1394 2023-02-24 10:47:44,126 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 1 day, 8:44:46, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0866, decode.acc_seg: 96.7707, aux.loss_ce: 0.0459, aux.acc_seg: 95.6907, loss: 0.1325 2023-02-24 10:48:34,964 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 1 day, 8:44:05, time: 1.016, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0787, decode.acc_seg: 96.9285, aux.loss_ce: 0.0408, aux.acc_seg: 96.0637, loss: 0.1195 2023-02-24 10:49:22,478 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 1 day, 8:43:13, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0722, decode.acc_seg: 97.1447, aux.loss_ce: 0.0409, aux.acc_seg: 96.0101, loss: 0.1131 2023-02-24 10:50:09,832 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 1 day, 8:42:21, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0780, decode.acc_seg: 96.9272, aux.loss_ce: 0.0424, aux.acc_seg: 95.9102, loss: 0.1204 2023-02-24 10:51:00,702 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 1 day, 8:41:40, time: 1.017, data_time: 0.083, memory: 24831, decode.loss_ce: 0.0785, decode.acc_seg: 96.8996, aux.loss_ce: 0.0457, aux.acc_seg: 95.6594, loss: 0.1241 2023-02-24 10:51:48,069 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 1 day, 8:40:48, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0783, decode.acc_seg: 96.9394, aux.loss_ce: 0.0416, aux.acc_seg: 96.0225, loss: 0.1199 2023-02-24 10:52:35,494 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 1 day, 8:39:56, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0795, decode.acc_seg: 96.8608, aux.loss_ce: 0.0445, aux.acc_seg: 95.7680, loss: 0.1239 2023-02-24 10:53:23,596 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 1 day, 8:39:06, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0780, decode.acc_seg: 96.9304, aux.loss_ce: 0.0418, aux.acc_seg: 95.9760, loss: 0.1198 2023-02-24 10:54:15,172 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 1 day, 8:38:27, time: 1.032, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0774, decode.acc_seg: 96.9738, aux.loss_ce: 0.0423, aux.acc_seg: 95.9426, loss: 0.1196 2023-02-24 10:55:02,509 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 1 day, 8:37:35, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0753, decode.acc_seg: 96.9896, aux.loss_ce: 0.0410, aux.acc_seg: 96.0287, loss: 0.1163 2023-02-24 10:55:49,830 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:55:49,830 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 1 day, 8:36:43, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0772, decode.acc_seg: 96.9819, aux.loss_ce: 0.0417, aux.acc_seg: 96.0184, loss: 0.1190 2023-02-24 10:56:37,144 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 1 day, 8:35:51, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0744, decode.acc_seg: 97.0715, aux.loss_ce: 0.0409, aux.acc_seg: 96.0537, loss: 0.1153 2023-02-24 10:57:28,276 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 1 day, 8:35:10, time: 1.023, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0750, decode.acc_seg: 97.0406, aux.loss_ce: 0.0422, aux.acc_seg: 95.9700, loss: 0.1172 2023-02-24 10:58:15,541 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 1 day, 8:34:18, time: 0.945, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0791, decode.acc_seg: 96.8969, aux.loss_ce: 0.0424, aux.acc_seg: 95.9104, loss: 0.1215 2023-02-24 10:59:02,756 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 1 day, 8:33:25, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0792, decode.acc_seg: 96.8595, aux.loss_ce: 0.0422, aux.acc_seg: 95.9153, loss: 0.1214 2023-02-24 10:59:53,667 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 1 day, 8:32:44, time: 1.018, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0765, decode.acc_seg: 96.9924, aux.loss_ce: 0.0417, aux.acc_seg: 95.9998, loss: 0.1181 2023-02-24 11:00:42,055 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 1 day, 8:31:55, time: 0.968, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0793, decode.acc_seg: 96.8545, aux.loss_ce: 0.0438, aux.acc_seg: 95.8034, loss: 0.1232 2023-02-24 11:01:29,611 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 1 day, 8:31:04, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0768, decode.acc_seg: 97.0089, aux.loss_ce: 0.0401, aux.acc_seg: 96.1768, loss: 0.1168 2023-02-24 11:02:17,016 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 1 day, 8:30:12, time: 0.948, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0737, decode.acc_seg: 97.0702, aux.loss_ce: 0.0400, aux.acc_seg: 96.1194, loss: 0.1137 2023-02-24 11:03:07,242 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 1 day, 8:29:29, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0772, decode.acc_seg: 96.9547, aux.loss_ce: 0.0407, aux.acc_seg: 96.0875, loss: 0.1180 2023-02-24 11:03:54,714 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 1 day, 8:28:37, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0805, decode.acc_seg: 96.8535, aux.loss_ce: 0.0433, aux.acc_seg: 95.8580, loss: 0.1239 2023-02-24 11:04:42,403 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 1 day, 8:27:46, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0786, decode.acc_seg: 96.9145, aux.loss_ce: 0.0409, aux.acc_seg: 96.0517, loss: 0.1194 2023-02-24 11:05:30,080 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 1 day, 8:26:55, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0801, decode.acc_seg: 96.8194, aux.loss_ce: 0.0417, aux.acc_seg: 95.9815, loss: 0.1218 2023-02-24 11:06:20,523 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 1 day, 8:26:12, time: 1.009, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0740, decode.acc_seg: 97.0819, aux.loss_ce: 0.0397, aux.acc_seg: 96.1712, loss: 0.1138 2023-02-24 11:07:08,200 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 1 day, 8:25:21, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0754, decode.acc_seg: 96.9965, aux.loss_ce: 0.0409, aux.acc_seg: 96.0086, loss: 0.1163 2023-02-24 11:07:56,106 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 1 day, 8:24:31, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0797, decode.acc_seg: 96.9450, aux.loss_ce: 0.0426, aux.acc_seg: 95.8954, loss: 0.1222 2023-02-24 11:08:43,481 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 1 day, 8:23:39, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0752, decode.acc_seg: 97.0375, aux.loss_ce: 0.0417, aux.acc_seg: 95.9969, loss: 0.1168 2023-02-24 11:09:34,193 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 1 day, 8:22:57, time: 1.014, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0809, decode.acc_seg: 96.8142, aux.loss_ce: 0.0422, aux.acc_seg: 95.9528, loss: 0.1231 2023-02-24 11:10:22,179 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 1 day, 8:22:07, time: 0.960, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0829, decode.acc_seg: 96.8190, aux.loss_ce: 0.0439, aux.acc_seg: 95.8270, loss: 0.1268 2023-02-24 11:11:09,641 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 1 day, 8:21:15, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0897, decode.acc_seg: 96.5886, aux.loss_ce: 0.0437, aux.acc_seg: 95.8355, loss: 0.1335 2023-02-24 11:11:59,939 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:11:59,940 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 1 day, 8:20:32, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0832, decode.acc_seg: 96.7669, aux.loss_ce: 0.0435, aux.acc_seg: 95.8446, loss: 0.1267 2023-02-24 11:12:47,561 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 1 day, 8:19:41, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0792, decode.acc_seg: 96.8973, aux.loss_ce: 0.0420, aux.acc_seg: 95.9191, loss: 0.1211 2023-02-24 11:13:35,262 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 1 day, 8:18:50, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0856, decode.acc_seg: 96.7610, aux.loss_ce: 0.0444, aux.acc_seg: 95.7976, loss: 0.1300 2023-02-24 11:14:22,693 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 1 day, 8:17:58, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0792, decode.acc_seg: 96.8948, aux.loss_ce: 0.0439, aux.acc_seg: 95.7980, loss: 0.1230 2023-02-24 11:15:13,125 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 1 day, 8:17:15, time: 1.008, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0772, decode.acc_seg: 96.9810, aux.loss_ce: 0.0420, aux.acc_seg: 96.0445, loss: 0.1192 2023-02-24 11:16:00,553 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 1 day, 8:16:24, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0781, decode.acc_seg: 96.9230, aux.loss_ce: 0.0410, aux.acc_seg: 96.0358, loss: 0.1191 2023-02-24 11:16:47,932 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 1 day, 8:15:32, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0769, decode.acc_seg: 96.9955, aux.loss_ce: 0.0412, aux.acc_seg: 96.0255, loss: 0.1181 2023-02-24 11:17:35,281 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 1 day, 8:14:40, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0757, decode.acc_seg: 97.0138, aux.loss_ce: 0.0421, aux.acc_seg: 95.9583, loss: 0.1178 2023-02-24 11:18:27,191 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 1 day, 8:14:01, time: 1.038, data_time: 0.091, memory: 24831, decode.loss_ce: 0.0776, decode.acc_seg: 96.9325, aux.loss_ce: 0.0416, aux.acc_seg: 95.9550, loss: 0.1192 2023-02-24 11:19:15,233 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 1 day, 8:13:11, time: 0.961, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0774, decode.acc_seg: 96.9734, aux.loss_ce: 0.0417, aux.acc_seg: 96.0150, loss: 0.1192 2023-02-24 11:20:03,139 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 1 day, 8:12:21, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0748, decode.acc_seg: 97.0389, aux.loss_ce: 0.0408, aux.acc_seg: 96.0646, loss: 0.1156 2023-02-24 11:20:53,475 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 1 day, 8:11:38, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0735, decode.acc_seg: 97.0777, aux.loss_ce: 0.0396, aux.acc_seg: 96.1824, loss: 0.1130 2023-02-24 11:21:41,066 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 1 day, 8:10:47, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0753, decode.acc_seg: 97.0120, aux.loss_ce: 0.0411, aux.acc_seg: 96.0017, loss: 0.1164 2023-02-24 11:22:29,107 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 1 day, 8:09:57, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0759, decode.acc_seg: 96.9879, aux.loss_ce: 0.0395, aux.acc_seg: 96.1463, loss: 0.1154 2023-02-24 11:23:17,081 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 1 day, 8:09:07, time: 0.959, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0765, decode.acc_seg: 97.0147, aux.loss_ce: 0.0417, aux.acc_seg: 96.0030, loss: 0.1182 2023-02-24 11:24:07,239 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 1 day, 8:08:23, time: 1.003, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1151, aux.loss_ce: 0.0387, aux.acc_seg: 96.2394, loss: 0.1114 2023-02-24 11:24:54,728 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 1 day, 8:07:32, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0752, decode.acc_seg: 97.0220, aux.loss_ce: 0.0413, aux.acc_seg: 96.0342, loss: 0.1165 2023-02-24 11:25:42,614 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 1 day, 8:06:41, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0761, decode.acc_seg: 96.9769, aux.loss_ce: 0.0404, aux.acc_seg: 96.0990, loss: 0.1165 2023-02-24 11:26:30,426 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 1 day, 8:05:51, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0757, decode.acc_seg: 97.0042, aux.loss_ce: 0.0408, aux.acc_seg: 96.0379, loss: 0.1165 2023-02-24 11:27:20,732 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 1 day, 8:05:07, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0758, decode.acc_seg: 97.0366, aux.loss_ce: 0.0424, aux.acc_seg: 95.9404, loss: 0.1181 2023-02-24 11:28:08,313 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:28:08,314 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 1 day, 8:04:16, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0800, decode.acc_seg: 96.8429, aux.loss_ce: 0.0433, aux.acc_seg: 95.8427, loss: 0.1233 2023-02-24 11:28:55,808 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 1 day, 8:03:25, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0740, decode.acc_seg: 97.1014, aux.loss_ce: 0.0405, aux.acc_seg: 96.1281, loss: 0.1145 2023-02-24 11:29:43,348 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 1 day, 8:02:33, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0846, decode.acc_seg: 96.7574, aux.loss_ce: 0.0433, aux.acc_seg: 95.8703, loss: 0.1279 2023-02-24 11:30:33,723 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 1 day, 8:01:50, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0793, decode.acc_seg: 96.9069, aux.loss_ce: 0.0430, aux.acc_seg: 95.8420, loss: 0.1223 2023-02-24 11:31:21,407 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 1 day, 8:00:59, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0783, decode.acc_seg: 96.9292, aux.loss_ce: 0.0423, aux.acc_seg: 95.9381, loss: 0.1206 2023-02-24 11:32:09,156 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 1 day, 8:00:09, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0747, decode.acc_seg: 97.0811, aux.loss_ce: 0.0397, aux.acc_seg: 96.2139, loss: 0.1144 2023-02-24 11:33:00,400 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 1 day, 7:59:28, time: 1.025, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0744, decode.acc_seg: 97.0605, aux.loss_ce: 0.0408, aux.acc_seg: 96.0518, loss: 0.1152 2023-02-24 11:33:47,897 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 1 day, 7:58:37, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.2111, aux.loss_ce: 0.0385, aux.acc_seg: 96.2637, loss: 0.1085 2023-02-24 11:34:35,834 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 1 day, 7:57:46, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0776, decode.acc_seg: 96.9450, aux.loss_ce: 0.0406, aux.acc_seg: 96.0933, loss: 0.1181 2023-02-24 11:35:23,515 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 1 day, 7:56:56, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0767, decode.acc_seg: 96.9609, aux.loss_ce: 0.0414, aux.acc_seg: 95.9786, loss: 0.1181 2023-02-24 11:36:13,776 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 1 day, 7:56:12, time: 1.005, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0778, decode.acc_seg: 96.9462, aux.loss_ce: 0.0410, aux.acc_seg: 96.0750, loss: 0.1188 2023-02-24 11:37:01,177 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 1 day, 7:55:20, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0771, decode.acc_seg: 96.9329, aux.loss_ce: 0.0419, aux.acc_seg: 95.9608, loss: 0.1191 2023-02-24 11:37:48,999 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 1 day, 7:54:30, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.1618, aux.loss_ce: 0.0403, aux.acc_seg: 96.0993, loss: 0.1119 2023-02-24 11:38:36,523 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 1 day, 7:53:39, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0772, decode.acc_seg: 96.9321, aux.loss_ce: 0.0410, aux.acc_seg: 96.0108, loss: 0.1182 2023-02-24 11:39:26,790 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 1 day, 7:52:55, time: 1.005, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0750, decode.acc_seg: 97.0503, aux.loss_ce: 0.0411, aux.acc_seg: 96.0799, loss: 0.1161 2023-02-24 11:40:14,013 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 1 day, 7:52:03, time: 0.944, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0753, decode.acc_seg: 97.0058, aux.loss_ce: 0.0413, aux.acc_seg: 96.0040, loss: 0.1166 2023-02-24 11:41:01,501 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 1 day, 7:51:12, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0771, decode.acc_seg: 96.9569, aux.loss_ce: 0.0408, aux.acc_seg: 96.0323, loss: 0.1179 2023-02-24 11:41:49,328 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 1 day, 7:50:21, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0738, decode.acc_seg: 97.0800, aux.loss_ce: 0.0400, aux.acc_seg: 96.1306, loss: 0.1138 2023-02-24 11:42:40,116 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 1 day, 7:49:39, time: 1.015, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0768, decode.acc_seg: 96.9471, aux.loss_ce: 0.0399, aux.acc_seg: 96.1336, loss: 0.1167 2023-02-24 11:43:27,615 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 1 day, 7:48:48, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0734, decode.acc_seg: 97.0757, aux.loss_ce: 0.0403, aux.acc_seg: 96.1091, loss: 0.1137 2023-02-24 11:44:15,179 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:44:15,180 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 1 day, 7:47:57, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0759, decode.acc_seg: 97.0059, aux.loss_ce: 0.0405, aux.acc_seg: 96.1163, loss: 0.1164 2023-02-24 11:45:05,519 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 1 day, 7:47:13, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0720, decode.acc_seg: 97.1626, aux.loss_ce: 0.0399, aux.acc_seg: 96.1677, loss: 0.1119 2023-02-24 11:45:52,860 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 1 day, 7:46:21, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0760, decode.acc_seg: 96.9781, aux.loss_ce: 0.0402, aux.acc_seg: 96.1184, loss: 0.1162 2023-02-24 11:46:40,234 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 1 day, 7:45:30, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0753, decode.acc_seg: 97.0178, aux.loss_ce: 0.0403, aux.acc_seg: 96.0956, loss: 0.1156 2023-02-24 11:47:28,272 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 1 day, 7:44:40, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0765, decode.acc_seg: 96.9859, aux.loss_ce: 0.0402, aux.acc_seg: 96.0984, loss: 0.1167 2023-02-24 11:48:18,725 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 1 day, 7:43:57, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0733, decode.acc_seg: 97.0957, aux.loss_ce: 0.0399, aux.acc_seg: 96.1311, loss: 0.1132 2023-02-24 11:49:06,334 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 1 day, 7:43:06, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0782, decode.acc_seg: 96.9190, aux.loss_ce: 0.0423, aux.acc_seg: 95.9699, loss: 0.1205 2023-02-24 11:49:54,275 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 1 day, 7:42:16, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0742, decode.acc_seg: 97.0581, aux.loss_ce: 0.0396, aux.acc_seg: 96.1824, loss: 0.1138 2023-02-24 11:50:41,928 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 1 day, 7:41:25, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0782, decode.acc_seg: 96.8777, aux.loss_ce: 0.0438, aux.acc_seg: 95.8183, loss: 0.1220 2023-02-24 11:51:32,751 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 1 day, 7:40:43, time: 1.016, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2651, aux.loss_ce: 0.0380, aux.acc_seg: 96.2931, loss: 0.1069 2023-02-24 11:52:20,065 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 1 day, 7:39:51, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0763, decode.acc_seg: 96.9909, aux.loss_ce: 0.0418, aux.acc_seg: 95.9599, loss: 0.1180 2023-02-24 11:53:07,652 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 1 day, 7:39:00, time: 0.952, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0788, decode.acc_seg: 96.9295, aux.loss_ce: 0.0420, aux.acc_seg: 95.9584, loss: 0.1208 2023-02-24 11:53:58,234 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 1 day, 7:38:17, time: 1.012, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0773, decode.acc_seg: 96.9348, aux.loss_ce: 0.0420, aux.acc_seg: 95.9275, loss: 0.1193 2023-02-24 11:54:45,745 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 1 day, 7:37:26, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0749, decode.acc_seg: 97.0548, aux.loss_ce: 0.0410, aux.acc_seg: 96.0259, loss: 0.1158 2023-02-24 11:55:33,313 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 1 day, 7:36:35, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0739, decode.acc_seg: 97.0577, aux.loss_ce: 0.0398, aux.acc_seg: 96.1557, loss: 0.1137 2023-02-24 11:56:20,630 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 1 day, 7:35:43, time: 0.946, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0740, decode.acc_seg: 97.0753, aux.loss_ce: 0.0403, aux.acc_seg: 96.1430, loss: 0.1143 2023-02-24 11:57:11,059 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 1 day, 7:35:00, time: 1.008, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0826, decode.acc_seg: 96.7778, aux.loss_ce: 0.0416, aux.acc_seg: 96.0070, loss: 0.1242 2023-02-24 11:57:58,608 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 1 day, 7:34:09, time: 0.951, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0792, decode.acc_seg: 96.9294, aux.loss_ce: 0.0417, aux.acc_seg: 96.0115, loss: 0.1209 2023-02-24 11:58:46,083 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 1 day, 7:33:17, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0748, decode.acc_seg: 97.0367, aux.loss_ce: 0.0415, aux.acc_seg: 95.9683, loss: 0.1163 2023-02-24 11:59:33,672 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 1 day, 7:32:26, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0744, decode.acc_seg: 97.0540, aux.loss_ce: 0.0393, aux.acc_seg: 96.1862, loss: 0.1138 2023-02-24 12:00:24,241 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:00:24,241 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 1 day, 7:31:43, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0715, decode.acc_seg: 97.1687, aux.loss_ce: 0.0386, aux.acc_seg: 96.2462, loss: 0.1102 2023-02-24 12:01:11,642 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 1 day, 7:30:52, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0735, decode.acc_seg: 97.0710, aux.loss_ce: 0.0395, aux.acc_seg: 96.1533, loss: 0.1130 2023-02-24 12:01:59,171 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 1 day, 7:30:01, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0746, decode.acc_seg: 97.0574, aux.loss_ce: 0.0402, aux.acc_seg: 96.1400, loss: 0.1148 2023-02-24 12:02:46,647 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 1 day, 7:29:09, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0766, decode.acc_seg: 96.9849, aux.loss_ce: 0.0426, aux.acc_seg: 95.9039, loss: 0.1192 2023-02-24 12:03:37,136 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 1 day, 7:28:26, time: 1.010, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0782, decode.acc_seg: 96.9238, aux.loss_ce: 0.0417, aux.acc_seg: 96.0003, loss: 0.1198 2023-02-24 12:04:24,680 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 1 day, 7:27:35, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0737, decode.acc_seg: 97.0938, aux.loss_ce: 0.0396, aux.acc_seg: 96.2062, loss: 0.1132 2023-02-24 12:05:12,074 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 1 day, 7:26:44, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0732, decode.acc_seg: 97.0833, aux.loss_ce: 0.0392, aux.acc_seg: 96.1621, loss: 0.1124 2023-02-24 12:06:03,273 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 1 day, 7:26:02, time: 1.024, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0772, decode.acc_seg: 96.9244, aux.loss_ce: 0.0415, aux.acc_seg: 95.9839, loss: 0.1187 2023-02-24 12:06:50,970 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 1 day, 7:25:12, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0767, decode.acc_seg: 96.9660, aux.loss_ce: 0.0398, aux.acc_seg: 96.1727, loss: 0.1166 2023-02-24 12:07:38,631 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 1 day, 7:24:21, time: 0.953, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0742, decode.acc_seg: 97.0430, aux.loss_ce: 0.0402, aux.acc_seg: 96.1302, loss: 0.1143 2023-02-24 12:08:26,467 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 1 day, 7:23:31, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0724, decode.acc_seg: 97.0756, aux.loss_ce: 0.0394, aux.acc_seg: 96.1424, loss: 0.1117 2023-02-24 12:09:16,877 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 1 day, 7:22:47, time: 1.008, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0737, decode.acc_seg: 97.0949, aux.loss_ce: 0.0394, aux.acc_seg: 96.2004, loss: 0.1131 2023-02-24 12:10:04,860 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 1 day, 7:21:57, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0748, decode.acc_seg: 97.0390, aux.loss_ce: 0.0404, aux.acc_seg: 96.0836, loss: 0.1152 2023-02-24 12:10:52,413 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 1 day, 7:21:06, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0724, decode.acc_seg: 97.0992, aux.loss_ce: 0.0385, aux.acc_seg: 96.2264, loss: 0.1110 2023-02-24 12:11:40,646 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 1 day, 7:20:17, time: 0.965, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0754, decode.acc_seg: 97.0169, aux.loss_ce: 0.0405, aux.acc_seg: 96.1029, loss: 0.1158 2023-02-24 12:12:31,076 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 1 day, 7:19:34, time: 1.008, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0736, decode.acc_seg: 97.0536, aux.loss_ce: 0.0406, aux.acc_seg: 96.0527, loss: 0.1142 2023-02-24 12:13:18,820 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 1 day, 7:18:43, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0759, decode.acc_seg: 96.9829, aux.loss_ce: 0.0404, aux.acc_seg: 96.0532, loss: 0.1163 2023-02-24 12:14:06,304 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 1 day, 7:17:52, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0744, decode.acc_seg: 97.0325, aux.loss_ce: 0.0403, aux.acc_seg: 96.0731, loss: 0.1146 2023-02-24 12:14:57,007 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 1 day, 7:17:09, time: 1.014, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0707, decode.acc_seg: 97.1818, aux.loss_ce: 0.0385, aux.acc_seg: 96.2682, loss: 0.1092 2023-02-24 12:15:44,640 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 1 day, 7:16:19, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0696, decode.acc_seg: 97.2214, aux.loss_ce: 0.0386, aux.acc_seg: 96.2368, loss: 0.1082 2023-02-24 12:16:32,087 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:16:32,087 - mmseg - INFO - Iter [44000/160000] lr: 4.350e-05, eta: 1 day, 7:15:27, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0764, decode.acc_seg: 96.9363, aux.loss_ce: 0.0414, aux.acc_seg: 95.9538, loss: 0.1178 2023-02-24 12:17:19,643 - mmseg - INFO - Iter [44050/160000] lr: 4.348e-05, eta: 1 day, 7:14:36, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0736, decode.acc_seg: 97.0800, aux.loss_ce: 0.0397, aux.acc_seg: 96.1659, loss: 0.1133 2023-02-24 12:18:10,289 - mmseg - INFO - Iter [44100/160000] lr: 4.346e-05, eta: 1 day, 7:13:53, time: 1.013, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0858, decode.acc_seg: 96.6901, aux.loss_ce: 0.0435, aux.acc_seg: 95.8499, loss: 0.1294 2023-02-24 12:18:58,476 - mmseg - INFO - Iter [44150/160000] lr: 4.344e-05, eta: 1 day, 7:13:04, time: 0.963, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0730, decode.acc_seg: 97.1342, aux.loss_ce: 0.0401, aux.acc_seg: 96.1529, loss: 0.1132 2023-02-24 12:19:46,186 - mmseg - INFO - Iter [44200/160000] lr: 4.343e-05, eta: 1 day, 7:12:13, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0766, decode.acc_seg: 96.9923, aux.loss_ce: 0.0409, aux.acc_seg: 96.0678, loss: 0.1174 2023-02-24 12:20:33,831 - mmseg - INFO - Iter [44250/160000] lr: 4.341e-05, eta: 1 day, 7:11:23, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0753, decode.acc_seg: 96.9913, aux.loss_ce: 0.0419, aux.acc_seg: 95.9059, loss: 0.1172 2023-02-24 12:21:24,619 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 1 day, 7:10:40, time: 1.016, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0737, decode.acc_seg: 97.0845, aux.loss_ce: 0.0401, aux.acc_seg: 96.1194, loss: 0.1138 2023-02-24 12:22:11,943 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 1 day, 7:09:49, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0732, decode.acc_seg: 97.0880, aux.loss_ce: 0.0384, aux.acc_seg: 96.3031, loss: 0.1116 2023-02-24 12:22:59,425 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 1 day, 7:08:57, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0761, decode.acc_seg: 96.9721, aux.loss_ce: 0.0407, aux.acc_seg: 96.0390, loss: 0.1167 2023-02-24 12:23:47,241 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 1 day, 7:08:07, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0768, decode.acc_seg: 96.9320, aux.loss_ce: 0.0410, aux.acc_seg: 96.0090, loss: 0.1177 2023-02-24 12:24:37,893 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 1 day, 7:07:24, time: 1.013, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0732, decode.acc_seg: 97.1102, aux.loss_ce: 0.0383, aux.acc_seg: 96.3203, loss: 0.1116 2023-02-24 12:25:25,243 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 1 day, 7:06:33, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1669, aux.loss_ce: 0.0398, aux.acc_seg: 96.1503, loss: 0.1118 2023-02-24 12:26:12,789 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 1 day, 7:05:42, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0871, decode.acc_seg: 96.6436, aux.loss_ce: 0.0434, aux.acc_seg: 95.8876, loss: 0.1306 2023-02-24 12:27:03,228 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 1 day, 7:04:58, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0885, decode.acc_seg: 96.5878, aux.loss_ce: 0.0441, aux.acc_seg: 95.7061, loss: 0.1326 2023-02-24 12:27:50,646 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 1 day, 7:04:07, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0797, decode.acc_seg: 96.8773, aux.loss_ce: 0.0409, aux.acc_seg: 96.0681, loss: 0.1206 2023-02-24 12:28:38,984 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 1 day, 7:03:18, time: 0.967, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0767, decode.acc_seg: 96.9783, aux.loss_ce: 0.0404, aux.acc_seg: 96.0956, loss: 0.1171 2023-02-24 12:29:26,565 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 1 day, 7:02:27, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0763, decode.acc_seg: 96.9766, aux.loss_ce: 0.0399, aux.acc_seg: 96.1357, loss: 0.1162 2023-02-24 12:30:16,890 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 1 day, 7:01:43, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1330, aux.loss_ce: 0.0388, aux.acc_seg: 96.2542, loss: 0.1111 2023-02-24 12:31:04,469 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 1 day, 7:00:52, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1310, aux.loss_ce: 0.0388, aux.acc_seg: 96.2214, loss: 0.1111 2023-02-24 12:31:52,060 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 1 day, 7:00:02, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1029, aux.loss_ce: 0.0408, aux.acc_seg: 96.0656, loss: 0.1135 2023-02-24 12:32:39,387 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:32:39,388 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 1 day, 6:59:10, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1220, aux.loss_ce: 0.0386, aux.acc_seg: 96.2637, loss: 0.1109 2023-02-24 12:33:29,675 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 1 day, 6:58:26, time: 1.006, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1557, aux.loss_ce: 0.0391, aux.acc_seg: 96.2078, loss: 0.1101 2023-02-24 12:34:17,185 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 1 day, 6:57:35, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0730, decode.acc_seg: 97.1102, aux.loss_ce: 0.0414, aux.acc_seg: 96.0251, loss: 0.1144 2023-02-24 12:35:04,926 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 1 day, 6:56:45, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0752, decode.acc_seg: 97.0109, aux.loss_ce: 0.0397, aux.acc_seg: 96.1525, loss: 0.1149 2023-02-24 12:35:55,731 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 1 day, 6:56:02, time: 1.016, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0756, decode.acc_seg: 97.0051, aux.loss_ce: 0.0408, aux.acc_seg: 96.0698, loss: 0.1165 2023-02-24 12:36:43,868 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 1 day, 6:55:13, time: 0.963, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1109, aux.loss_ce: 0.0413, aux.acc_seg: 95.9827, loss: 0.1140 2023-02-24 12:37:31,435 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 1 day, 6:54:22, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0707, decode.acc_seg: 97.1948, aux.loss_ce: 0.0396, aux.acc_seg: 96.1062, loss: 0.1103 2023-02-24 12:38:19,595 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 1 day, 6:53:32, time: 0.964, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0791, decode.acc_seg: 96.8460, aux.loss_ce: 0.0403, aux.acc_seg: 96.0561, loss: 0.1194 2023-02-24 12:39:10,252 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 1 day, 6:52:49, time: 1.013, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0739, decode.acc_seg: 97.0664, aux.loss_ce: 0.0413, aux.acc_seg: 96.0420, loss: 0.1153 2023-02-24 12:39:57,638 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 1 day, 6:51:58, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0737, decode.acc_seg: 97.0610, aux.loss_ce: 0.0409, aux.acc_seg: 96.0297, loss: 0.1146 2023-02-24 12:40:45,014 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 1 day, 6:51:07, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0709, decode.acc_seg: 97.1712, aux.loss_ce: 0.0394, aux.acc_seg: 96.1740, loss: 0.1103 2023-02-24 12:41:32,722 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 1 day, 6:50:16, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0733, decode.acc_seg: 97.0862, aux.loss_ce: 0.0398, aux.acc_seg: 96.1446, loss: 0.1131 2023-02-24 12:42:23,389 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 1 day, 6:49:33, time: 1.013, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0759, decode.acc_seg: 96.9980, aux.loss_ce: 0.0409, aux.acc_seg: 96.0266, loss: 0.1168 2023-02-24 12:43:11,088 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 1 day, 6:48:43, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0775, decode.acc_seg: 96.9193, aux.loss_ce: 0.0426, aux.acc_seg: 95.8766, loss: 0.1201 2023-02-24 12:43:59,405 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 1 day, 6:47:54, time: 0.966, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.2187, aux.loss_ce: 0.0373, aux.acc_seg: 96.3667, loss: 0.1074 2023-02-24 12:44:46,936 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 1 day, 6:47:03, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0709, decode.acc_seg: 97.1883, aux.loss_ce: 0.0399, aux.acc_seg: 96.1190, loss: 0.1108 2023-02-24 12:45:37,233 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 1 day, 6:46:19, time: 1.006, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1701, aux.loss_ce: 0.0390, aux.acc_seg: 96.2220, loss: 0.1100 2023-02-24 12:46:24,964 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 1 day, 6:45:28, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1057, aux.loss_ce: 0.0398, aux.acc_seg: 96.1251, loss: 0.1125 2023-02-24 12:47:12,616 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 1 day, 6:44:38, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0702, decode.acc_seg: 97.2515, aux.loss_ce: 0.0397, aux.acc_seg: 96.1931, loss: 0.1099 2023-02-24 12:48:02,902 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 1 day, 6:43:54, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0713, decode.acc_seg: 97.1416, aux.loss_ce: 0.0389, aux.acc_seg: 96.2249, loss: 0.1102 2023-02-24 12:48:50,213 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:48:50,214 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 1 day, 6:43:02, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0706, decode.acc_seg: 97.1901, aux.loss_ce: 0.0403, aux.acc_seg: 96.0982, loss: 0.1110 2023-02-24 12:49:37,728 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 1 day, 6:42:11, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1271, aux.loss_ce: 0.0379, aux.acc_seg: 96.3171, loss: 0.1098 2023-02-24 12:50:25,541 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 1 day, 6:41:21, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0764, decode.acc_seg: 96.9788, aux.loss_ce: 0.0404, aux.acc_seg: 96.0978, loss: 0.1169 2023-02-24 12:51:15,955 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 1 day, 6:40:37, time: 1.008, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0701, decode.acc_seg: 97.1816, aux.loss_ce: 0.0387, aux.acc_seg: 96.2126, loss: 0.1088 2023-02-24 12:52:03,634 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 1 day, 6:39:47, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0725, decode.acc_seg: 97.1076, aux.loss_ce: 0.0387, aux.acc_seg: 96.2277, loss: 0.1112 2023-02-24 12:52:51,378 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 1 day, 6:38:56, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0741, decode.acc_seg: 97.0866, aux.loss_ce: 0.0400, aux.acc_seg: 96.1469, loss: 0.1141 2023-02-24 12:53:39,768 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 1 day, 6:38:08, time: 0.968, data_time: 0.026, memory: 24831, decode.loss_ce: 0.0722, decode.acc_seg: 97.1168, aux.loss_ce: 0.0391, aux.acc_seg: 96.1944, loss: 0.1114 2023-02-24 12:54:30,129 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 1 day, 6:37:24, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0739, decode.acc_seg: 97.0413, aux.loss_ce: 0.0396, aux.acc_seg: 96.1546, loss: 0.1135 2023-02-24 12:55:17,647 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 1 day, 6:36:33, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2156, aux.loss_ce: 0.0389, aux.acc_seg: 96.2105, loss: 0.1087 2023-02-24 12:56:05,239 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 1 day, 6:35:42, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1527, aux.loss_ce: 0.0387, aux.acc_seg: 96.2005, loss: 0.1097 2023-02-24 12:56:52,654 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 1 day, 6:34:51, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0759, decode.acc_seg: 97.0105, aux.loss_ce: 0.0406, aux.acc_seg: 96.1135, loss: 0.1165 2023-02-24 12:57:43,127 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 1 day, 6:34:07, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.2054, aux.loss_ce: 0.0376, aux.acc_seg: 96.3369, loss: 0.1075 2023-02-24 12:58:30,515 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 1 day, 6:33:16, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0738, decode.acc_seg: 97.0603, aux.loss_ce: 0.0399, aux.acc_seg: 96.1183, loss: 0.1137 2023-02-24 12:59:18,016 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 1 day, 6:32:25, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0732, decode.acc_seg: 97.0493, aux.loss_ce: 0.0388, aux.acc_seg: 96.1497, loss: 0.1119 2023-02-24 13:00:08,410 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 1 day, 6:31:41, time: 1.008, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0738, decode.acc_seg: 97.0558, aux.loss_ce: 0.0394, aux.acc_seg: 96.1387, loss: 0.1133 2023-02-24 13:00:56,051 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 1 day, 6:30:51, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0754, decode.acc_seg: 97.0433, aux.loss_ce: 0.0413, aux.acc_seg: 96.0022, loss: 0.1167 2023-02-24 13:01:43,594 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 1 day, 6:30:00, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1245, aux.loss_ce: 0.0388, aux.acc_seg: 96.2422, loss: 0.1111 2023-02-24 13:02:30,989 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 1 day, 6:29:09, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2214, aux.loss_ce: 0.0386, aux.acc_seg: 96.2508, loss: 0.1084 2023-02-24 13:03:21,543 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 1 day, 6:28:25, time: 1.011, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0731, decode.acc_seg: 97.1073, aux.loss_ce: 0.0396, aux.acc_seg: 96.1665, loss: 0.1127 2023-02-24 13:04:09,012 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 1 day, 6:27:34, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1109, aux.loss_ce: 0.0387, aux.acc_seg: 96.2189, loss: 0.1107 2023-02-24 13:04:56,504 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:04:56,504 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 1 day, 6:26:43, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0730, decode.acc_seg: 97.1054, aux.loss_ce: 0.0399, aux.acc_seg: 96.1271, loss: 0.1130 2023-02-24 13:05:44,214 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 1 day, 6:25:53, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1337, aux.loss_ce: 0.0389, aux.acc_seg: 96.2318, loss: 0.1116 2023-02-24 13:06:34,715 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 1 day, 6:25:09, time: 1.010, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0693, decode.acc_seg: 97.2332, aux.loss_ce: 0.0387, aux.acc_seg: 96.2395, loss: 0.1080 2023-02-24 13:07:22,345 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 1 day, 6:24:18, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0702, decode.acc_seg: 97.1795, aux.loss_ce: 0.0389, aux.acc_seg: 96.1912, loss: 0.1091 2023-02-24 13:08:09,960 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 1 day, 6:23:28, time: 0.952, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2553, aux.loss_ce: 0.0387, aux.acc_seg: 96.2122, loss: 0.1075 2023-02-24 13:09:00,631 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 1 day, 6:22:44, time: 1.013, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1143, aux.loss_ce: 0.0393, aux.acc_seg: 96.1953, loss: 0.1112 2023-02-24 13:09:48,044 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 1 day, 6:21:53, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.1453, aux.loss_ce: 0.0396, aux.acc_seg: 96.1737, loss: 0.1112 2023-02-24 13:10:35,525 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 1 day, 6:21:02, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0738, decode.acc_seg: 97.0614, aux.loss_ce: 0.0397, aux.acc_seg: 96.1202, loss: 0.1134 2023-02-24 13:11:23,352 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 1 day, 6:20:12, time: 0.957, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0722, decode.acc_seg: 97.1499, aux.loss_ce: 0.0402, aux.acc_seg: 96.1504, loss: 0.1124 2023-02-24 13:12:13,943 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 1 day, 6:19:29, time: 1.012, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0701, decode.acc_seg: 97.2133, aux.loss_ce: 0.0385, aux.acc_seg: 96.2597, loss: 0.1086 2023-02-24 13:13:01,682 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 1 day, 6:18:39, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.3438, aux.loss_ce: 0.0379, aux.acc_seg: 96.2792, loss: 0.1036 2023-02-24 13:13:49,310 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 1 day, 6:17:48, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.1413, aux.loss_ce: 0.0387, aux.acc_seg: 96.2486, loss: 0.1103 2023-02-24 13:14:36,729 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 1 day, 6:16:57, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1280, aux.loss_ce: 0.0397, aux.acc_seg: 96.1489, loss: 0.1116 2023-02-24 13:15:27,134 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 1 day, 6:16:13, time: 1.008, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0766, decode.acc_seg: 96.9946, aux.loss_ce: 0.0424, aux.acc_seg: 95.9248, loss: 0.1191 2023-02-24 13:16:15,417 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 1 day, 6:15:24, time: 0.966, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0714, decode.acc_seg: 97.1713, aux.loss_ce: 0.0396, aux.acc_seg: 96.1800, loss: 0.1110 2023-02-24 13:17:02,859 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 1 day, 6:14:33, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0770, decode.acc_seg: 96.9424, aux.loss_ce: 0.0406, aux.acc_seg: 96.0262, loss: 0.1176 2023-02-24 13:17:50,801 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 1 day, 6:13:43, time: 0.959, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0721, decode.acc_seg: 97.1562, aux.loss_ce: 0.0392, aux.acc_seg: 96.2144, loss: 0.1113 2023-02-24 13:18:41,286 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 1 day, 6:12:59, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2224, aux.loss_ce: 0.0382, aux.acc_seg: 96.2903, loss: 0.1080 2023-02-24 13:19:28,797 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 1 day, 6:12:09, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0683, decode.acc_seg: 97.2833, aux.loss_ce: 0.0385, aux.acc_seg: 96.2579, loss: 0.1067 2023-02-24 13:20:16,468 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 1 day, 6:11:18, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2147, aux.loss_ce: 0.0396, aux.acc_seg: 96.1448, loss: 0.1094 2023-02-24 13:21:06,989 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-02-24 13:21:11,633 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:21:11,634 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 1 day, 6:10:45, time: 1.103, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0682, decode.acc_seg: 97.2686, aux.loss_ce: 0.0378, aux.acc_seg: 96.3193, loss: 0.1060 2023-02-24 13:22:14,458 - mmseg - INFO - per class results: 2023-02-24 13:22:14,470 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.48 | 99.17 | | sidewalk | 87.56 | 93.41 | | building | 93.11 | 97.02 | | wall | 60.38 | 69.53 | | fence | 65.93 | 73.32 | | pole | 70.82 | 81.24 | | traffic light | 73.63 | 87.92 | | traffic sign | 83.18 | 90.5 | | vegetation | 92.87 | 95.88 | | terrain | 66.66 | 81.66 | | sky | 94.18 | 99.17 | | person | 84.95 | 93.28 | | rider | 66.84 | 74.75 | | car | 95.59 | 98.1 | | truck | 74.33 | 77.65 | | bus | 92.49 | 95.75 | | train | 86.64 | 91.19 | | motorcycle | 71.33 | 80.78 | | bicycle | 80.76 | 91.82 | +---------------+-------+-------+ 2023-02-24 13:22:14,470 - mmseg - INFO - Summary: 2023-02-24 13:22:14,471 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.55 | 81.04 | 88.01 | +-------+-------+-------+ 2023-02-24 13:22:14,480 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_32000.pth was removed 2023-02-24 13:22:16,352 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2023-02-24 13:22:16,356 - mmseg - INFO - Best mIoU is 0.8104 at 48000 iter. 2023-02-24 13:22:16,356 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:22:16,356 - mmseg - INFO - Iter(val) [125] aAcc: 0.9655, mIoU: 0.8104, mAcc: 0.8801, IoU.road: 0.9848, IoU.sidewalk: 0.8756, IoU.building: 0.9311, IoU.wall: 0.6038, IoU.fence: 0.6593, IoU.pole: 0.7082, IoU.traffic light: 0.7363, IoU.traffic sign: 0.8318, IoU.vegetation: 0.9287, IoU.terrain: 0.6666, IoU.sky: 0.9418, IoU.person: 0.8495, IoU.rider: 0.6684, IoU.car: 0.9559, IoU.truck: 0.7433, IoU.bus: 0.9249, IoU.train: 0.8664, IoU.motorcycle: 0.7133, IoU.bicycle: 0.8076, Acc.road: 0.9917, Acc.sidewalk: 0.9341, Acc.building: 0.9702, Acc.wall: 0.6953, Acc.fence: 0.7332, Acc.pole: 0.8124, Acc.traffic light: 0.8792, Acc.traffic sign: 0.9050, Acc.vegetation: 0.9588, Acc.terrain: 0.8166, Acc.sky: 0.9917, Acc.person: 0.9328, Acc.rider: 0.7475, Acc.car: 0.9810, Acc.truck: 0.7765, Acc.bus: 0.9575, Acc.train: 0.9119, Acc.motorcycle: 0.8078, Acc.bicycle: 0.9182 2023-02-24 13:23:03,799 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 1 day, 6:12:25, time: 2.243, data_time: 1.304, memory: 24831, decode.loss_ce: 0.0708, decode.acc_seg: 97.1720, aux.loss_ce: 0.0384, aux.acc_seg: 96.2445, loss: 0.1092 2023-02-24 13:23:51,363 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 1 day, 6:11:34, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1528, aux.loss_ce: 0.0377, aux.acc_seg: 96.3103, loss: 0.1087 2023-02-24 13:24:38,982 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 1 day, 6:10:43, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0720, decode.acc_seg: 97.1112, aux.loss_ce: 0.0392, aux.acc_seg: 96.1824, loss: 0.1112 2023-02-24 13:25:29,487 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 1 day, 6:09:59, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.1732, aux.loss_ce: 0.0384, aux.acc_seg: 96.2485, loss: 0.1089 2023-02-24 13:26:16,962 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 1 day, 6:09:08, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0709, decode.acc_seg: 97.1560, aux.loss_ce: 0.0387, aux.acc_seg: 96.2085, loss: 0.1095 2023-02-24 13:27:04,459 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 1 day, 6:08:17, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0713, decode.acc_seg: 97.1522, aux.loss_ce: 0.0384, aux.acc_seg: 96.2798, loss: 0.1096 2023-02-24 13:27:52,064 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 1 day, 6:07:26, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1357, aux.loss_ce: 0.0392, aux.acc_seg: 96.2035, loss: 0.1114 2023-02-24 13:28:42,553 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 1 day, 6:06:42, time: 1.010, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0706, decode.acc_seg: 97.1764, aux.loss_ce: 0.0383, aux.acc_seg: 96.2651, loss: 0.1090 2023-02-24 13:29:30,084 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 1 day, 6:05:51, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0725, decode.acc_seg: 97.1087, aux.loss_ce: 0.0383, aux.acc_seg: 96.2771, loss: 0.1108 2023-02-24 13:30:17,646 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 1 day, 6:05:00, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0739, decode.acc_seg: 97.0552, aux.loss_ce: 0.0397, aux.acc_seg: 96.1764, loss: 0.1136 2023-02-24 13:31:08,627 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 1 day, 6:04:17, time: 1.020, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0835, decode.acc_seg: 96.6759, aux.loss_ce: 0.0443, aux.acc_seg: 95.7234, loss: 0.1277 2023-02-24 13:31:56,311 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 1 day, 6:03:27, time: 0.953, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0784, decode.acc_seg: 96.8929, aux.loss_ce: 0.0413, aux.acc_seg: 96.0067, loss: 0.1197 2023-02-24 13:32:43,934 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 1 day, 6:02:36, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0733, decode.acc_seg: 97.0840, aux.loss_ce: 0.0407, aux.acc_seg: 96.0528, loss: 0.1140 2023-02-24 13:33:31,458 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 1 day, 6:01:45, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0736, decode.acc_seg: 97.0785, aux.loss_ce: 0.0396, aux.acc_seg: 96.1795, loss: 0.1132 2023-02-24 13:34:21,644 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 1 day, 6:01:00, time: 1.004, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2241, aux.loss_ce: 0.0385, aux.acc_seg: 96.2752, loss: 0.1083 2023-02-24 13:35:09,052 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 1 day, 6:00:09, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.1604, aux.loss_ce: 0.0390, aux.acc_seg: 96.2108, loss: 0.1105 2023-02-24 13:35:56,834 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 1 day, 5:59:19, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0770, decode.acc_seg: 96.9353, aux.loss_ce: 0.0407, aux.acc_seg: 96.0409, loss: 0.1177 2023-02-24 13:36:44,417 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 1 day, 5:58:28, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0724, decode.acc_seg: 97.1105, aux.loss_ce: 0.0393, aux.acc_seg: 96.1670, loss: 0.1118 2023-02-24 13:37:34,764 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 1 day, 5:57:43, time: 1.007, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.2019, aux.loss_ce: 0.0392, aux.acc_seg: 96.1947, loss: 0.1097 2023-02-24 13:38:22,141 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:38:22,142 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 1 day, 5:56:52, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0704, decode.acc_seg: 97.1749, aux.loss_ce: 0.0389, aux.acc_seg: 96.2001, loss: 0.1093 2023-02-24 13:39:10,010 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 1 day, 5:56:02, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0729, decode.acc_seg: 97.1057, aux.loss_ce: 0.0402, aux.acc_seg: 96.1247, loss: 0.1131 2023-02-24 13:39:57,475 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 1 day, 5:55:11, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0713, decode.acc_seg: 97.1767, aux.loss_ce: 0.0391, aux.acc_seg: 96.2149, loss: 0.1104 2023-02-24 13:40:48,195 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 1 day, 5:54:27, time: 1.014, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0828, decode.acc_seg: 96.8112, aux.loss_ce: 0.0419, aux.acc_seg: 95.9314, loss: 0.1247 2023-02-24 13:41:36,327 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 1 day, 5:53:38, time: 0.963, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.2243, aux.loss_ce: 0.0382, aux.acc_seg: 96.3008, loss: 0.1087 2023-02-24 13:42:24,034 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 1 day, 5:52:47, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0737, decode.acc_seg: 97.0687, aux.loss_ce: 0.0393, aux.acc_seg: 96.1637, loss: 0.1131 2023-02-24 13:43:14,392 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 1 day, 5:52:03, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.1886, aux.loss_ce: 0.0388, aux.acc_seg: 96.2534, loss: 0.1104 2023-02-24 13:44:01,762 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 1 day, 5:51:11, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0702, decode.acc_seg: 97.1864, aux.loss_ce: 0.0390, aux.acc_seg: 96.1822, loss: 0.1092 2023-02-24 13:44:49,396 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 1 day, 5:50:21, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1271, aux.loss_ce: 0.0387, aux.acc_seg: 96.2520, loss: 0.1114 2023-02-24 13:45:36,866 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 1 day, 5:49:30, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0696, decode.acc_seg: 97.2304, aux.loss_ce: 0.0384, aux.acc_seg: 96.2848, loss: 0.1079 2023-02-24 13:46:27,626 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 1 day, 5:48:46, time: 1.015, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0784, decode.acc_seg: 96.8879, aux.loss_ce: 0.0431, aux.acc_seg: 95.8505, loss: 0.1215 2023-02-24 13:47:15,241 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 1 day, 5:47:55, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0704, decode.acc_seg: 97.1829, aux.loss_ce: 0.0386, aux.acc_seg: 96.2380, loss: 0.1090 2023-02-24 13:48:02,796 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 1 day, 5:47:05, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.2088, aux.loss_ce: 0.0374, aux.acc_seg: 96.3557, loss: 0.1074 2023-02-24 13:48:50,466 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 1 day, 5:46:14, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0692, decode.acc_seg: 97.2354, aux.loss_ce: 0.0384, aux.acc_seg: 96.2585, loss: 0.1076 2023-02-24 13:49:40,977 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 1 day, 5:45:30, time: 1.011, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0750, decode.acc_seg: 97.0414, aux.loss_ce: 0.0396, aux.acc_seg: 96.1819, loss: 0.1146 2023-02-24 13:50:28,539 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 1 day, 5:44:39, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0687, decode.acc_seg: 97.2655, aux.loss_ce: 0.0384, aux.acc_seg: 96.2997, loss: 0.1071 2023-02-24 13:51:16,538 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 1 day, 5:43:49, time: 0.960, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0718, decode.acc_seg: 97.1402, aux.loss_ce: 0.0376, aux.acc_seg: 96.3146, loss: 0.1094 2023-02-24 13:52:06,998 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 1 day, 5:43:05, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0707, decode.acc_seg: 97.1756, aux.loss_ce: 0.0392, aux.acc_seg: 96.2057, loss: 0.1099 2023-02-24 13:52:54,518 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 1 day, 5:42:14, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0680, decode.acc_seg: 97.2837, aux.loss_ce: 0.0375, aux.acc_seg: 96.3429, loss: 0.1055 2023-02-24 13:53:42,055 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 1 day, 5:41:23, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.1679, aux.loss_ce: 0.0379, aux.acc_seg: 96.2937, loss: 0.1084 2023-02-24 13:54:29,656 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:54:29,657 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 1 day, 5:40:32, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0758, decode.acc_seg: 96.9821, aux.loss_ce: 0.0395, aux.acc_seg: 96.1328, loss: 0.1154 2023-02-24 13:55:20,340 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 1 day, 5:39:49, time: 1.014, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0718, decode.acc_seg: 97.1285, aux.loss_ce: 0.0385, aux.acc_seg: 96.2192, loss: 0.1102 2023-02-24 13:56:07,784 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 1 day, 5:38:58, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0689, decode.acc_seg: 97.2327, aux.loss_ce: 0.0370, aux.acc_seg: 96.3553, loss: 0.1059 2023-02-24 13:56:55,283 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 1 day, 5:38:07, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0664, decode.acc_seg: 97.3126, aux.loss_ce: 0.0367, aux.acc_seg: 96.3951, loss: 0.1031 2023-02-24 13:57:42,924 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 1 day, 5:37:16, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2269, aux.loss_ce: 0.0384, aux.acc_seg: 96.2590, loss: 0.1082 2023-02-24 13:58:33,780 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 1 day, 5:36:33, time: 1.017, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1608, aux.loss_ce: 0.0393, aux.acc_seg: 96.1843, loss: 0.1103 2023-02-24 13:59:21,842 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 1 day, 5:35:43, time: 0.961, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0692, decode.acc_seg: 97.2297, aux.loss_ce: 0.0385, aux.acc_seg: 96.2302, loss: 0.1076 2023-02-24 14:00:09,645 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 1 day, 5:34:53, time: 0.956, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0678, decode.acc_seg: 97.2849, aux.loss_ce: 0.0363, aux.acc_seg: 96.4316, loss: 0.1041 2023-02-24 14:00:57,281 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 1 day, 5:34:02, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0694, decode.acc_seg: 97.2194, aux.loss_ce: 0.0390, aux.acc_seg: 96.2126, loss: 0.1084 2023-02-24 14:01:47,459 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 1 day, 5:33:17, time: 1.003, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.1874, aux.loss_ce: 0.0378, aux.acc_seg: 96.3250, loss: 0.1083 2023-02-24 14:02:34,900 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 1 day, 5:32:26, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0727, decode.acc_seg: 97.1053, aux.loss_ce: 0.0392, aux.acc_seg: 96.1907, loss: 0.1120 2023-02-24 14:03:22,566 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 1 day, 5:31:36, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0691, decode.acc_seg: 97.2099, aux.loss_ce: 0.0380, aux.acc_seg: 96.2295, loss: 0.1071 2023-02-24 14:04:12,872 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 1 day, 5:30:51, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0692, decode.acc_seg: 97.2301, aux.loss_ce: 0.0372, aux.acc_seg: 96.3648, loss: 0.1064 2023-02-24 14:05:00,395 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 1 day, 5:30:00, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0718, decode.acc_seg: 97.1421, aux.loss_ce: 0.0383, aux.acc_seg: 96.2889, loss: 0.1100 2023-02-24 14:05:47,978 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 1 day, 5:29:09, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0658, decode.acc_seg: 97.3453, aux.loss_ce: 0.0360, aux.acc_seg: 96.4775, loss: 0.1018 2023-02-24 14:06:35,615 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 1 day, 5:28:19, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0730, decode.acc_seg: 97.0885, aux.loss_ce: 0.0393, aux.acc_seg: 96.1800, loss: 0.1123 2023-02-24 14:07:26,084 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 1 day, 5:27:34, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1317, aux.loss_ce: 0.0393, aux.acc_seg: 96.1939, loss: 0.1112 2023-02-24 14:08:13,793 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 1 day, 5:26:44, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.2050, aux.loss_ce: 0.0389, aux.acc_seg: 96.2180, loss: 0.1089 2023-02-24 14:09:01,997 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 1 day, 5:25:55, time: 0.964, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0742, decode.acc_seg: 97.1616, aux.loss_ce: 0.0381, aux.acc_seg: 96.2706, loss: 0.1123 2023-02-24 14:09:49,478 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 1 day, 5:25:04, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0789, decode.acc_seg: 96.9469, aux.loss_ce: 0.0407, aux.acc_seg: 96.1198, loss: 0.1196 2023-02-24 14:10:39,856 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:10:39,859 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 1 day, 5:24:19, time: 1.007, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1486, aux.loss_ce: 0.0398, aux.acc_seg: 96.1734, loss: 0.1121 2023-02-24 14:11:27,414 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 1 day, 5:23:28, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0686, decode.acc_seg: 97.2601, aux.loss_ce: 0.0378, aux.acc_seg: 96.2891, loss: 0.1064 2023-02-24 14:12:14,943 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 1 day, 5:22:38, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0675, decode.acc_seg: 97.2928, aux.loss_ce: 0.0382, aux.acc_seg: 96.2575, loss: 0.1057 2023-02-24 14:13:02,424 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 1 day, 5:21:47, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0715, decode.acc_seg: 97.1444, aux.loss_ce: 0.0384, aux.acc_seg: 96.2401, loss: 0.1098 2023-02-24 14:13:53,204 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 1 day, 5:21:03, time: 1.016, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0721, decode.acc_seg: 97.1196, aux.loss_ce: 0.0376, aux.acc_seg: 96.3196, loss: 0.1097 2023-02-24 14:14:40,911 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 1 day, 5:20:13, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0735, decode.acc_seg: 97.0825, aux.loss_ce: 0.0401, aux.acc_seg: 96.1050, loss: 0.1136 2023-02-24 14:15:28,319 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 1 day, 5:19:22, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0718, decode.acc_seg: 97.1459, aux.loss_ce: 0.0394, aux.acc_seg: 96.2074, loss: 0.1112 2023-02-24 14:16:18,950 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 1 day, 5:18:37, time: 1.013, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0681, decode.acc_seg: 97.2859, aux.loss_ce: 0.0372, aux.acc_seg: 96.3732, loss: 0.1053 2023-02-24 14:17:06,378 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 1 day, 5:17:46, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0687, decode.acc_seg: 97.2855, aux.loss_ce: 0.0371, aux.acc_seg: 96.3825, loss: 0.1059 2023-02-24 14:17:54,280 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 1 day, 5:16:57, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0691, decode.acc_seg: 97.2323, aux.loss_ce: 0.0381, aux.acc_seg: 96.2830, loss: 0.1072 2023-02-24 14:18:42,373 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 1 day, 5:16:07, time: 0.962, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0684, decode.acc_seg: 97.2589, aux.loss_ce: 0.0387, aux.acc_seg: 96.2284, loss: 0.1070 2023-02-24 14:19:33,053 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 1 day, 5:15:23, time: 1.014, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.2056, aux.loss_ce: 0.0379, aux.acc_seg: 96.3431, loss: 0.1084 2023-02-24 14:20:20,650 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 1 day, 5:14:32, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.1912, aux.loss_ce: 0.0376, aux.acc_seg: 96.3718, loss: 0.1092 2023-02-24 14:21:08,040 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 1 day, 5:13:41, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0690, decode.acc_seg: 97.2339, aux.loss_ce: 0.0381, aux.acc_seg: 96.2826, loss: 0.1071 2023-02-24 14:21:55,958 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 1 day, 5:12:51, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.1935, aux.loss_ce: 0.0375, aux.acc_seg: 96.3321, loss: 0.1081 2023-02-24 14:22:46,246 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 1 day, 5:12:06, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0693, decode.acc_seg: 97.2009, aux.loss_ce: 0.0382, aux.acc_seg: 96.2880, loss: 0.1075 2023-02-24 14:23:33,752 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 1 day, 5:11:16, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0695, decode.acc_seg: 97.2064, aux.loss_ce: 0.0386, aux.acc_seg: 96.2243, loss: 0.1081 2023-02-24 14:24:21,372 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 1 day, 5:10:25, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0754, decode.acc_seg: 97.0055, aux.loss_ce: 0.0407, aux.acc_seg: 96.0680, loss: 0.1161 2023-02-24 14:25:11,893 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 1 day, 5:09:41, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0670, decode.acc_seg: 97.3226, aux.loss_ce: 0.0373, aux.acc_seg: 96.3404, loss: 0.1044 2023-02-24 14:25:59,554 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 1 day, 5:08:50, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0681, decode.acc_seg: 97.2795, aux.loss_ce: 0.0391, aux.acc_seg: 96.1626, loss: 0.1072 2023-02-24 14:26:47,479 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:26:47,480 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 1 day, 5:08:00, time: 0.958, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2666, aux.loss_ce: 0.0373, aux.acc_seg: 96.3775, loss: 0.1060 2023-02-24 14:27:34,926 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 1 day, 5:07:10, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0681, decode.acc_seg: 97.2869, aux.loss_ce: 0.0377, aux.acc_seg: 96.3366, loss: 0.1058 2023-02-24 14:28:25,190 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 1 day, 5:06:25, time: 1.005, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1526, aux.loss_ce: 0.0379, aux.acc_seg: 96.2904, loss: 0.1089 2023-02-24 14:29:12,701 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 1 day, 5:05:34, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0725, decode.acc_seg: 97.0971, aux.loss_ce: 0.0392, aux.acc_seg: 96.1536, loss: 0.1117 2023-02-24 14:30:00,383 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 1 day, 5:04:44, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0704, decode.acc_seg: 97.1979, aux.loss_ce: 0.0387, aux.acc_seg: 96.2397, loss: 0.1091 2023-02-24 14:30:47,852 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 1 day, 5:03:53, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0712, decode.acc_seg: 97.1512, aux.loss_ce: 0.0412, aux.acc_seg: 96.0024, loss: 0.1124 2023-02-24 14:31:38,246 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 1 day, 5:03:08, time: 1.008, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0709, decode.acc_seg: 97.1877, aux.loss_ce: 0.0392, aux.acc_seg: 96.2349, loss: 0.1100 2023-02-24 14:32:25,808 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 1 day, 5:02:17, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0723, decode.acc_seg: 97.1170, aux.loss_ce: 0.0392, aux.acc_seg: 96.1723, loss: 0.1115 2023-02-24 14:33:13,233 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 1 day, 5:01:26, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0695, decode.acc_seg: 97.2265, aux.loss_ce: 0.0393, aux.acc_seg: 96.2014, loss: 0.1088 2023-02-24 14:34:00,686 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 1 day, 5:00:36, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0667, decode.acc_seg: 97.3307, aux.loss_ce: 0.0372, aux.acc_seg: 96.3922, loss: 0.1039 2023-02-24 14:34:51,227 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 1 day, 4:59:51, time: 1.011, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2328, aux.loss_ce: 0.0381, aux.acc_seg: 96.2646, loss: 0.1068 2023-02-24 14:35:38,790 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 1 day, 4:59:01, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0697, decode.acc_seg: 97.2107, aux.loss_ce: 0.0380, aux.acc_seg: 96.2851, loss: 0.1078 2023-02-24 14:36:26,452 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 1 day, 4:58:10, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0696, decode.acc_seg: 97.2803, aux.loss_ce: 0.0379, aux.acc_seg: 96.3329, loss: 0.1075 2023-02-24 14:37:17,541 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 1 day, 4:57:27, time: 1.021, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0702, decode.acc_seg: 97.2149, aux.loss_ce: 0.0383, aux.acc_seg: 96.2654, loss: 0.1085 2023-02-24 14:38:05,194 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 1 day, 4:56:36, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0654, decode.acc_seg: 97.3978, aux.loss_ce: 0.0368, aux.acc_seg: 96.4121, loss: 0.1022 2023-02-24 14:38:52,919 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 1 day, 4:55:46, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0669, decode.acc_seg: 97.3088, aux.loss_ce: 0.0370, aux.acc_seg: 96.3729, loss: 0.1039 2023-02-24 14:39:40,538 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 1 day, 4:54:56, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0671, decode.acc_seg: 97.3225, aux.loss_ce: 0.0378, aux.acc_seg: 96.3543, loss: 0.1050 2023-02-24 14:40:30,990 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 1 day, 4:54:11, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0665, decode.acc_seg: 97.4030, aux.loss_ce: 0.0368, aux.acc_seg: 96.4684, loss: 0.1033 2023-02-24 14:41:18,545 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 1 day, 4:53:20, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0696, decode.acc_seg: 97.2038, aux.loss_ce: 0.0364, aux.acc_seg: 96.4315, loss: 0.1060 2023-02-24 14:42:05,924 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 1 day, 4:52:30, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0684, decode.acc_seg: 97.2360, aux.loss_ce: 0.0371, aux.acc_seg: 96.3394, loss: 0.1055 2023-02-24 14:42:53,289 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:42:53,290 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 1 day, 4:51:39, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0726, decode.acc_seg: 97.1085, aux.loss_ce: 0.0384, aux.acc_seg: 96.2459, loss: 0.1111 2023-02-24 14:43:43,958 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 1 day, 4:50:54, time: 1.013, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0703, decode.acc_seg: 97.1904, aux.loss_ce: 0.0380, aux.acc_seg: 96.2872, loss: 0.1083 2023-02-24 14:44:31,780 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 1 day, 4:50:04, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0751, decode.acc_seg: 97.2296, aux.loss_ce: 0.0386, aux.acc_seg: 96.3510, loss: 0.1137 2023-02-24 14:45:19,671 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 1 day, 4:49:14, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1679, aux.loss_ce: 0.0384, aux.acc_seg: 96.2625, loss: 0.1103 2023-02-24 14:46:10,508 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 1 day, 4:48:30, time: 1.017, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0681, decode.acc_seg: 97.2612, aux.loss_ce: 0.0377, aux.acc_seg: 96.2800, loss: 0.1058 2023-02-24 14:46:58,070 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 1 day, 4:47:40, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0714, decode.acc_seg: 97.1615, aux.loss_ce: 0.0394, aux.acc_seg: 96.1565, loss: 0.1108 2023-02-24 14:47:45,802 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 1 day, 4:46:50, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0687, decode.acc_seg: 97.2504, aux.loss_ce: 0.0371, aux.acc_seg: 96.3925, loss: 0.1058 2023-02-24 14:48:33,373 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 1 day, 4:45:59, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0643, decode.acc_seg: 97.4226, aux.loss_ce: 0.0360, aux.acc_seg: 96.4552, loss: 0.1003 2023-02-24 14:49:24,053 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 1 day, 4:45:15, time: 1.013, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0671, decode.acc_seg: 97.3107, aux.loss_ce: 0.0367, aux.acc_seg: 96.4104, loss: 0.1039 2023-02-24 14:50:11,674 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 1 day, 4:44:24, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0709, decode.acc_seg: 97.1487, aux.loss_ce: 0.0386, aux.acc_seg: 96.2107, loss: 0.1096 2023-02-24 14:50:59,302 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 1 day, 4:43:34, time: 0.953, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1879, aux.loss_ce: 0.0391, aux.acc_seg: 96.2077, loss: 0.1102 2023-02-24 14:51:46,990 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 1 day, 4:42:44, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0670, decode.acc_seg: 97.3243, aux.loss_ce: 0.0381, aux.acc_seg: 96.2796, loss: 0.1051 2023-02-24 14:52:37,326 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 1 day, 4:41:59, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0680, decode.acc_seg: 97.3282, aux.loss_ce: 0.0369, aux.acc_seg: 96.4452, loss: 0.1049 2023-02-24 14:53:24,781 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 1 day, 4:41:08, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0681, decode.acc_seg: 97.2888, aux.loss_ce: 0.0371, aux.acc_seg: 96.3729, loss: 0.1052 2023-02-24 14:54:12,505 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 1 day, 4:40:18, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0647, decode.acc_seg: 97.4146, aux.loss_ce: 0.0357, aux.acc_seg: 96.5231, loss: 0.1005 2023-02-24 14:55:00,378 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 1 day, 4:39:28, time: 0.958, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0648, decode.acc_seg: 97.4095, aux.loss_ce: 0.0359, aux.acc_seg: 96.4939, loss: 0.1006 2023-02-24 14:55:51,201 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 1 day, 4:38:44, time: 1.016, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0708, decode.acc_seg: 97.1495, aux.loss_ce: 0.0384, aux.acc_seg: 96.2150, loss: 0.1092 2023-02-24 14:56:38,841 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 1 day, 4:37:54, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0696, decode.acc_seg: 97.2168, aux.loss_ce: 0.0380, aux.acc_seg: 96.2951, loss: 0.1076 2023-02-24 14:57:26,399 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 1 day, 4:37:03, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0658, decode.acc_seg: 97.3568, aux.loss_ce: 0.0366, aux.acc_seg: 96.4116, loss: 0.1024 2023-02-24 14:58:16,808 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 1 day, 4:36:18, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2160, aux.loss_ce: 0.0370, aux.acc_seg: 96.4030, loss: 0.1068 2023-02-24 14:59:04,244 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:59:04,244 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 1 day, 4:35:27, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0697, decode.acc_seg: 97.2160, aux.loss_ce: 0.0378, aux.acc_seg: 96.3280, loss: 0.1075 2023-02-24 14:59:51,770 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 1 day, 4:34:37, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0668, decode.acc_seg: 97.3407, aux.loss_ce: 0.0372, aux.acc_seg: 96.3674, loss: 0.1040 2023-02-24 15:00:39,651 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 1 day, 4:33:47, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0714, decode.acc_seg: 97.2057, aux.loss_ce: 0.0381, aux.acc_seg: 96.3294, loss: 0.1096 2023-02-24 15:01:30,361 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 1 day, 4:33:03, time: 1.014, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0672, decode.acc_seg: 97.3084, aux.loss_ce: 0.0363, aux.acc_seg: 96.4421, loss: 0.1035 2023-02-24 15:02:18,626 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 1 day, 4:32:14, time: 0.965, data_time: 0.026, memory: 24831, decode.loss_ce: 0.0680, decode.acc_seg: 97.2787, aux.loss_ce: 0.0371, aux.acc_seg: 96.4000, loss: 0.1051 2023-02-24 15:03:06,126 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 1 day, 4:31:23, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0682, decode.acc_seg: 97.2584, aux.loss_ce: 0.0396, aux.acc_seg: 96.1327, loss: 0.1078 2023-02-24 15:03:53,534 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 1 day, 4:30:32, time: 0.948, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0654, decode.acc_seg: 97.3686, aux.loss_ce: 0.0364, aux.acc_seg: 96.4203, loss: 0.1018 2023-02-24 15:04:43,800 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 1 day, 4:29:47, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0697, decode.acc_seg: 97.1890, aux.loss_ce: 0.0381, aux.acc_seg: 96.2579, loss: 0.1079 2023-02-24 15:05:31,330 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 1 day, 4:28:56, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0663, decode.acc_seg: 97.3701, aux.loss_ce: 0.0369, aux.acc_seg: 96.4268, loss: 0.1031 2023-02-24 15:06:18,807 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 1 day, 4:28:06, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.3845, aux.loss_ce: 0.0362, aux.acc_seg: 96.4804, loss: 0.1019 2023-02-24 15:07:09,237 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 1 day, 4:27:21, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0663, decode.acc_seg: 97.3480, aux.loss_ce: 0.0364, aux.acc_seg: 96.4488, loss: 0.1028 2023-02-24 15:07:56,808 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 1 day, 4:26:30, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0712, decode.acc_seg: 97.1602, aux.loss_ce: 0.0395, aux.acc_seg: 96.1576, loss: 0.1108 2023-02-24 15:08:44,410 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 1 day, 4:25:40, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0663, decode.acc_seg: 97.3468, aux.loss_ce: 0.0381, aux.acc_seg: 96.2866, loss: 0.1043 2023-02-24 15:09:32,077 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 1 day, 4:24:50, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4433, aux.loss_ce: 0.0372, aux.acc_seg: 96.3733, loss: 0.1014 2023-02-24 15:10:22,452 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 1 day, 4:24:05, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0678, decode.acc_seg: 97.2868, aux.loss_ce: 0.0378, aux.acc_seg: 96.3326, loss: 0.1056 2023-02-24 15:11:10,038 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 1 day, 4:23:14, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0650, decode.acc_seg: 97.3828, aux.loss_ce: 0.0367, aux.acc_seg: 96.4229, loss: 0.1017 2023-02-24 15:11:57,678 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 1 day, 4:22:24, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0732, decode.acc_seg: 97.0687, aux.loss_ce: 0.0415, aux.acc_seg: 96.0563, loss: 0.1147 2023-02-24 15:12:45,297 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 1 day, 4:21:34, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0725, decode.acc_seg: 97.1131, aux.loss_ce: 0.0403, aux.acc_seg: 96.1052, loss: 0.1127 2023-02-24 15:13:35,912 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 1 day, 4:20:49, time: 1.012, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0707, decode.acc_seg: 97.1643, aux.loss_ce: 0.0385, aux.acc_seg: 96.2285, loss: 0.1091 2023-02-24 15:14:24,056 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 1 day, 4:20:00, time: 0.963, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0684, decode.acc_seg: 97.2754, aux.loss_ce: 0.0373, aux.acc_seg: 96.3633, loss: 0.1057 2023-02-24 15:15:11,662 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:15:11,662 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 1 day, 4:19:10, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0681, decode.acc_seg: 97.2686, aux.loss_ce: 0.0374, aux.acc_seg: 96.3593, loss: 0.1055 2023-02-24 15:15:59,233 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 1 day, 4:18:19, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0680, decode.acc_seg: 97.2886, aux.loss_ce: 0.0371, aux.acc_seg: 96.3720, loss: 0.1051 2023-02-24 15:16:49,665 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 1 day, 4:17:34, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0661, decode.acc_seg: 97.3508, aux.loss_ce: 0.0367, aux.acc_seg: 96.4028, loss: 0.1028 2023-02-24 15:17:37,060 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 1 day, 4:16:43, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0667, decode.acc_seg: 97.3159, aux.loss_ce: 0.0360, aux.acc_seg: 96.4332, loss: 0.1027 2023-02-24 15:18:24,750 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 1 day, 4:15:53, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0673, decode.acc_seg: 97.2893, aux.loss_ce: 0.0367, aux.acc_seg: 96.4208, loss: 0.1040 2023-02-24 15:19:15,151 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 1 day, 4:15:08, time: 1.008, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0690, decode.acc_seg: 97.2317, aux.loss_ce: 0.0383, aux.acc_seg: 96.2439, loss: 0.1072 2023-02-24 15:20:02,666 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 1 day, 4:14:18, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0660, decode.acc_seg: 97.3437, aux.loss_ce: 0.0369, aux.acc_seg: 96.3814, loss: 0.1028 2023-02-24 15:20:50,302 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 1 day, 4:13:27, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2348, aux.loss_ce: 0.0375, aux.acc_seg: 96.3361, loss: 0.1063 2023-02-24 15:21:37,923 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 1 day, 4:12:37, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0706, decode.acc_seg: 97.1943, aux.loss_ce: 0.0375, aux.acc_seg: 96.3422, loss: 0.1081 2023-02-24 15:22:28,370 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 1 day, 4:11:52, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0648, decode.acc_seg: 97.3906, aux.loss_ce: 0.0364, aux.acc_seg: 96.4430, loss: 0.1012 2023-02-24 15:23:16,126 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 1 day, 4:11:02, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0666, decode.acc_seg: 97.3112, aux.loss_ce: 0.0362, aux.acc_seg: 96.4387, loss: 0.1028 2023-02-24 15:24:04,390 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 1 day, 4:10:13, time: 0.966, data_time: 0.028, memory: 24831, decode.loss_ce: 0.0660, decode.acc_seg: 97.3469, aux.loss_ce: 0.0371, aux.acc_seg: 96.3715, loss: 0.1031 2023-02-24 15:24:51,939 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 1 day, 4:09:23, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0666, decode.acc_seg: 97.3231, aux.loss_ce: 0.0361, aux.acc_seg: 96.4527, loss: 0.1027 2023-02-24 15:25:42,241 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 1 day, 4:08:37, time: 1.006, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0669, decode.acc_seg: 97.3391, aux.loss_ce: 0.0372, aux.acc_seg: 96.3785, loss: 0.1041 2023-02-24 15:26:29,778 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 1 day, 4:07:47, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0663, decode.acc_seg: 97.3370, aux.loss_ce: 0.0369, aux.acc_seg: 96.3912, loss: 0.1031 2023-02-24 15:27:17,483 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 1 day, 4:06:57, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0662, decode.acc_seg: 97.3537, aux.loss_ce: 0.0362, aux.acc_seg: 96.4581, loss: 0.1024 2023-02-24 15:28:05,263 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 1 day, 4:06:07, time: 0.956, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0697, decode.acc_seg: 97.2192, aux.loss_ce: 0.0372, aux.acc_seg: 96.3555, loss: 0.1069 2023-02-24 15:28:55,475 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 1 day, 4:05:21, time: 1.004, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0686, decode.acc_seg: 97.2514, aux.loss_ce: 0.0368, aux.acc_seg: 96.4050, loss: 0.1054 2023-02-24 15:29:42,916 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 1 day, 4:04:31, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0678, decode.acc_seg: 97.2847, aux.loss_ce: 0.0363, aux.acc_seg: 96.4405, loss: 0.1041 2023-02-24 15:30:30,662 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 1 day, 4:03:41, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0637, decode.acc_seg: 97.4281, aux.loss_ce: 0.0348, aux.acc_seg: 96.5640, loss: 0.0984 2023-02-24 15:31:21,006 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:31:21,009 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 1 day, 4:02:56, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0659, decode.acc_seg: 97.3829, aux.loss_ce: 0.0374, aux.acc_seg: 96.3877, loss: 0.1033 2023-02-24 15:32:08,586 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 1 day, 4:02:05, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0672, decode.acc_seg: 97.3082, aux.loss_ce: 0.0368, aux.acc_seg: 96.4108, loss: 0.1040 2023-02-24 15:32:56,122 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 1 day, 4:01:15, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2544, aux.loss_ce: 0.0366, aux.acc_seg: 96.4154, loss: 0.1054 2023-02-24 15:33:44,411 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 1 day, 4:00:26, time: 0.966, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4638, aux.loss_ce: 0.0349, aux.acc_seg: 96.5845, loss: 0.0979 2023-02-24 15:34:34,690 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 1 day, 3:59:40, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.3491, aux.loss_ce: 0.0363, aux.acc_seg: 96.4364, loss: 0.1020 2023-02-24 15:35:22,244 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 1 day, 3:58:50, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0656, decode.acc_seg: 97.3675, aux.loss_ce: 0.0363, aux.acc_seg: 96.4240, loss: 0.1019 2023-02-24 15:36:09,821 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 1 day, 3:58:00, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0671, decode.acc_seg: 97.3261, aux.loss_ce: 0.0376, aux.acc_seg: 96.3248, loss: 0.1048 2023-02-24 15:36:57,447 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 1 day, 3:57:10, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0651, decode.acc_seg: 97.3790, aux.loss_ce: 0.0358, aux.acc_seg: 96.4465, loss: 0.1009 2023-02-24 15:37:47,822 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 1 day, 3:56:24, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0679, decode.acc_seg: 97.3060, aux.loss_ce: 0.0372, aux.acc_seg: 96.3658, loss: 0.1050 2023-02-24 15:38:35,336 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 1 day, 3:55:34, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0666, decode.acc_seg: 97.3205, aux.loss_ce: 0.0367, aux.acc_seg: 96.3853, loss: 0.1033 2023-02-24 15:39:22,776 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 1 day, 3:54:43, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0653, decode.acc_seg: 97.3820, aux.loss_ce: 0.0364, aux.acc_seg: 96.4527, loss: 0.1017 2023-02-24 15:40:13,631 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 1 day, 3:53:59, time: 1.017, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0655, decode.acc_seg: 97.3731, aux.loss_ce: 0.0361, aux.acc_seg: 96.4821, loss: 0.1016 2023-02-24 15:41:01,025 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 1 day, 3:53:08, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0762, decode.acc_seg: 96.9439, aux.loss_ce: 0.0386, aux.acc_seg: 96.2511, loss: 0.1148 2023-02-24 15:41:48,747 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 1 day, 3:52:18, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1722, aux.loss_ce: 0.0370, aux.acc_seg: 96.3663, loss: 0.1080 2023-02-24 15:42:36,476 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 1 day, 3:51:28, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0675, decode.acc_seg: 97.2953, aux.loss_ce: 0.0357, aux.acc_seg: 96.5059, loss: 0.1033 2023-02-24 15:43:27,219 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 1 day, 3:50:44, time: 1.015, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0682, decode.acc_seg: 97.2559, aux.loss_ce: 0.0372, aux.acc_seg: 96.3527, loss: 0.1054 2023-02-24 15:44:14,835 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 1 day, 3:49:54, time: 0.952, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0741, decode.acc_seg: 97.0908, aux.loss_ce: 0.0398, aux.acc_seg: 96.1228, loss: 0.1139 2023-02-24 15:45:02,232 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 1 day, 3:49:03, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0733, decode.acc_seg: 97.0872, aux.loss_ce: 0.0381, aux.acc_seg: 96.2851, loss: 0.1114 2023-02-24 15:45:49,823 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 1 day, 3:48:13, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.1848, aux.loss_ce: 0.0390, aux.acc_seg: 96.1724, loss: 0.1090 2023-02-24 15:46:40,094 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 1 day, 3:47:27, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0667, decode.acc_seg: 97.3402, aux.loss_ce: 0.0361, aux.acc_seg: 96.4678, loss: 0.1028 2023-02-24 15:47:27,708 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:47:27,708 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 1 day, 3:46:37, time: 0.952, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0668, decode.acc_seg: 97.3069, aux.loss_ce: 0.0355, aux.acc_seg: 96.5088, loss: 0.1023 2023-02-24 15:48:15,182 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 1 day, 3:45:47, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0633, decode.acc_seg: 97.4478, aux.loss_ce: 0.0370, aux.acc_seg: 96.3997, loss: 0.1003 2023-02-24 15:49:02,687 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 1 day, 3:44:56, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0647, decode.acc_seg: 97.4134, aux.loss_ce: 0.0365, aux.acc_seg: 96.4445, loss: 0.1012 2023-02-24 15:49:53,408 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 1 day, 3:44:12, time: 1.014, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0676, decode.acc_seg: 97.2756, aux.loss_ce: 0.0368, aux.acc_seg: 96.3690, loss: 0.1044 2023-02-24 15:50:40,940 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 1 day, 3:43:21, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0664, decode.acc_seg: 97.3698, aux.loss_ce: 0.0365, aux.acc_seg: 96.4590, loss: 0.1028 2023-02-24 15:51:28,336 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 1 day, 3:42:31, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.4187, aux.loss_ce: 0.0369, aux.acc_seg: 96.3906, loss: 0.1013 2023-02-24 15:52:19,510 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 1 day, 3:41:47, time: 1.024, data_time: 0.083, memory: 24831, decode.loss_ce: 0.0655, decode.acc_seg: 97.3393, aux.loss_ce: 0.0366, aux.acc_seg: 96.4076, loss: 0.1020 2023-02-24 15:53:07,250 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 1 day, 3:40:57, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.4126, aux.loss_ce: 0.0353, aux.acc_seg: 96.5494, loss: 0.0998 2023-02-24 15:53:54,774 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 1 day, 3:40:06, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0654, decode.acc_seg: 97.3640, aux.loss_ce: 0.0366, aux.acc_seg: 96.3812, loss: 0.1020 2023-02-24 15:54:42,360 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 1 day, 3:39:16, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0671, decode.acc_seg: 97.3084, aux.loss_ce: 0.0379, aux.acc_seg: 96.3114, loss: 0.1050 2023-02-24 15:55:32,906 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 1 day, 3:38:31, time: 1.011, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.3318, aux.loss_ce: 0.0369, aux.acc_seg: 96.3489, loss: 0.1026 2023-02-24 15:56:20,522 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 1 day, 3:37:41, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0649, decode.acc_seg: 97.4073, aux.loss_ce: 0.0352, aux.acc_seg: 96.5744, loss: 0.1001 2023-02-24 15:57:07,973 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 1 day, 3:36:51, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0655, decode.acc_seg: 97.3573, aux.loss_ce: 0.0361, aux.acc_seg: 96.4350, loss: 0.1016 2023-02-24 15:57:55,354 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 1 day, 3:36:00, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0658, decode.acc_seg: 97.3809, aux.loss_ce: 0.0363, aux.acc_seg: 96.4983, loss: 0.1021 2023-02-24 15:58:46,310 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 1 day, 3:35:16, time: 1.019, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0669, decode.acc_seg: 97.3202, aux.loss_ce: 0.0356, aux.acc_seg: 96.5209, loss: 0.1025 2023-02-24 15:59:34,122 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 1 day, 3:34:26, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0651, decode.acc_seg: 97.3662, aux.loss_ce: 0.0359, aux.acc_seg: 96.4470, loss: 0.1009 2023-02-24 16:00:21,869 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 1 day, 3:33:36, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.3855, aux.loss_ce: 0.0358, aux.acc_seg: 96.4673, loss: 0.1003 2023-02-24 16:01:12,741 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 1 day, 3:32:51, time: 1.017, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0638, decode.acc_seg: 97.4401, aux.loss_ce: 0.0366, aux.acc_seg: 96.4435, loss: 0.1004 2023-02-24 16:02:00,142 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 1 day, 3:32:01, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0673, decode.acc_seg: 97.3020, aux.loss_ce: 0.0368, aux.acc_seg: 96.3951, loss: 0.1041 2023-02-24 16:02:47,532 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 1 day, 3:31:10, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0663, decode.acc_seg: 97.3416, aux.loss_ce: 0.0363, aux.acc_seg: 96.4179, loss: 0.1027 2023-02-24 16:03:35,135 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:03:35,135 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 1 day, 3:30:20, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0643, decode.acc_seg: 97.4280, aux.loss_ce: 0.0362, aux.acc_seg: 96.4585, loss: 0.1004 2023-02-24 16:04:25,561 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 1 day, 3:29:35, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0679, decode.acc_seg: 97.2567, aux.loss_ce: 0.0372, aux.acc_seg: 96.3422, loss: 0.1051 2023-02-24 16:05:13,192 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 1 day, 3:28:45, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0644, decode.acc_seg: 97.4300, aux.loss_ce: 0.0358, aux.acc_seg: 96.5069, loss: 0.1001 2023-02-24 16:06:00,854 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 1 day, 3:27:55, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0676, decode.acc_seg: 97.2705, aux.loss_ce: 0.0362, aux.acc_seg: 96.4153, loss: 0.1038 2023-02-24 16:06:48,570 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 1 day, 3:27:05, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0639, decode.acc_seg: 97.4215, aux.loss_ce: 0.0364, aux.acc_seg: 96.4286, loss: 0.1004 2023-02-24 16:07:39,048 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 1 day, 3:26:20, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0653, decode.acc_seg: 97.3367, aux.loss_ce: 0.0363, aux.acc_seg: 96.3911, loss: 0.1016 2023-02-24 16:08:26,771 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 1 day, 3:25:30, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0682, decode.acc_seg: 97.2636, aux.loss_ce: 0.0368, aux.acc_seg: 96.3920, loss: 0.1050 2023-02-24 16:09:14,425 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 1 day, 3:24:39, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0755, decode.acc_seg: 96.9771, aux.loss_ce: 0.0383, aux.acc_seg: 96.2375, loss: 0.1138 2023-02-24 16:10:02,041 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 1 day, 3:23:49, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0738, decode.acc_seg: 97.0814, aux.loss_ce: 0.0407, aux.acc_seg: 96.0452, loss: 0.1145 2023-02-24 16:10:52,669 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 1 day, 3:23:04, time: 1.013, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.4123, aux.loss_ce: 0.0363, aux.acc_seg: 96.4522, loss: 0.1008 2023-02-24 16:11:40,133 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 1 day, 3:22:14, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0656, decode.acc_seg: 97.3737, aux.loss_ce: 0.0374, aux.acc_seg: 96.3391, loss: 0.1029 2023-02-24 16:12:27,545 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 1 day, 3:21:24, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0665, decode.acc_seg: 97.3290, aux.loss_ce: 0.0365, aux.acc_seg: 96.4049, loss: 0.1030 2023-02-24 16:13:18,274 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 1 day, 3:20:39, time: 1.015, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0687, decode.acc_seg: 97.2487, aux.loss_ce: 0.0373, aux.acc_seg: 96.3162, loss: 0.1060 2023-02-24 16:14:05,955 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 1 day, 3:19:49, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0661, decode.acc_seg: 97.3355, aux.loss_ce: 0.0355, aux.acc_seg: 96.5065, loss: 0.1016 2023-02-24 16:14:53,862 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 1 day, 3:18:59, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0656, decode.acc_seg: 97.3600, aux.loss_ce: 0.0355, aux.acc_seg: 96.5303, loss: 0.1011 2023-02-24 16:15:41,604 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 1 day, 3:18:09, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0687, decode.acc_seg: 97.2350, aux.loss_ce: 0.0363, aux.acc_seg: 96.4509, loss: 0.1050 2023-02-24 16:16:32,241 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 1 day, 3:17:24, time: 1.013, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2586, aux.loss_ce: 0.0381, aux.acc_seg: 96.3379, loss: 0.1080 2023-02-24 16:17:20,709 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 1 day, 3:16:36, time: 0.969, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0667, decode.acc_seg: 97.3231, aux.loss_ce: 0.0372, aux.acc_seg: 96.3440, loss: 0.1038 2023-02-24 16:18:08,546 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 1 day, 3:15:46, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0674, decode.acc_seg: 97.3146, aux.loss_ce: 0.0364, aux.acc_seg: 96.4583, loss: 0.1038 2023-02-24 16:18:56,289 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 1 day, 3:14:56, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0689, decode.acc_seg: 97.2236, aux.loss_ce: 0.0375, aux.acc_seg: 96.3257, loss: 0.1063 2023-02-24 16:19:47,062 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:19:47,062 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 1 day, 3:14:11, time: 1.015, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0637, decode.acc_seg: 97.4511, aux.loss_ce: 0.0345, aux.acc_seg: 96.6373, loss: 0.0982 2023-02-24 16:20:35,019 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 1 day, 3:13:22, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0655, decode.acc_seg: 97.3813, aux.loss_ce: 0.0371, aux.acc_seg: 96.3928, loss: 0.1026 2023-02-24 16:21:22,776 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 1 day, 3:12:32, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0680, decode.acc_seg: 97.2396, aux.loss_ce: 0.0366, aux.acc_seg: 96.3972, loss: 0.1046 2023-02-24 16:22:13,383 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 1 day, 3:11:47, time: 1.012, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0659, decode.acc_seg: 97.3561, aux.loss_ce: 0.0358, aux.acc_seg: 96.4810, loss: 0.1018 2023-02-24 16:23:01,037 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 1 day, 3:10:57, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0643, decode.acc_seg: 97.3978, aux.loss_ce: 0.0369, aux.acc_seg: 96.3690, loss: 0.1012 2023-02-24 16:23:48,733 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 1 day, 3:10:07, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0643, decode.acc_seg: 97.4166, aux.loss_ce: 0.0368, aux.acc_seg: 96.4512, loss: 0.1010 2023-02-24 16:24:36,525 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 1 day, 3:09:17, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0685, decode.acc_seg: 97.2533, aux.loss_ce: 0.0367, aux.acc_seg: 96.3646, loss: 0.1052 2023-02-24 16:25:27,187 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 1 day, 3:08:32, time: 1.013, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0655, decode.acc_seg: 97.3698, aux.loss_ce: 0.0348, aux.acc_seg: 96.5851, loss: 0.1003 2023-02-24 16:26:15,237 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 1 day, 3:07:43, time: 0.961, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0636, decode.acc_seg: 97.4150, aux.loss_ce: 0.0353, aux.acc_seg: 96.5118, loss: 0.0989 2023-02-24 16:27:02,905 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 1 day, 3:06:53, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0646, decode.acc_seg: 97.3905, aux.loss_ce: 0.0370, aux.acc_seg: 96.3724, loss: 0.1016 2023-02-24 16:27:50,786 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 1 day, 3:06:03, time: 0.958, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.4058, aux.loss_ce: 0.0358, aux.acc_seg: 96.5003, loss: 0.1015 2023-02-24 16:28:42,160 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 1 day, 3:05:19, time: 1.027, data_time: 0.082, memory: 24831, decode.loss_ce: 0.0638, decode.acc_seg: 97.4296, aux.loss_ce: 0.0358, aux.acc_seg: 96.4863, loss: 0.0996 2023-02-24 16:29:30,166 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 1 day, 3:04:30, time: 0.960, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0658, decode.acc_seg: 97.3668, aux.loss_ce: 0.0354, aux.acc_seg: 96.5679, loss: 0.1011 2023-02-24 16:30:18,079 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 1 day, 3:03:40, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0659, decode.acc_seg: 97.3521, aux.loss_ce: 0.0353, aux.acc_seg: 96.5247, loss: 0.1012 2023-02-24 16:31:05,887 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 1 day, 3:02:50, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0636, decode.acc_seg: 97.4836, aux.loss_ce: 0.0357, aux.acc_seg: 96.5166, loss: 0.0994 2023-02-24 16:31:56,531 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 1 day, 3:02:05, time: 1.013, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0670, decode.acc_seg: 97.3292, aux.loss_ce: 0.0361, aux.acc_seg: 96.4688, loss: 0.1031 2023-02-24 16:32:44,240 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 1 day, 3:01:15, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0668, decode.acc_seg: 97.3454, aux.loss_ce: 0.0369, aux.acc_seg: 96.3977, loss: 0.1037 2023-02-24 16:33:32,322 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 1 day, 3:00:26, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0650, decode.acc_seg: 97.3983, aux.loss_ce: 0.0359, aux.acc_seg: 96.4704, loss: 0.1010 2023-02-24 16:34:23,022 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 1 day, 2:59:41, time: 1.014, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0651, decode.acc_seg: 97.3871, aux.loss_ce: 0.0347, aux.acc_seg: 96.5819, loss: 0.0998 2023-02-24 16:35:11,286 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 1 day, 2:58:52, time: 0.965, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4897, aux.loss_ce: 0.0351, aux.acc_seg: 96.5655, loss: 0.0979 2023-02-24 16:35:59,234 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:35:59,235 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 1 day, 2:58:03, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0664, decode.acc_seg: 97.3085, aux.loss_ce: 0.0371, aux.acc_seg: 96.3595, loss: 0.1036 2023-02-24 16:36:47,243 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 1 day, 2:57:13, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0700, decode.acc_seg: 97.2351, aux.loss_ce: 0.0381, aux.acc_seg: 96.2852, loss: 0.1081 2023-02-24 16:37:38,070 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 1 day, 2:56:29, time: 1.017, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0694, decode.acc_seg: 97.2307, aux.loss_ce: 0.0365, aux.acc_seg: 96.4479, loss: 0.1059 2023-02-24 16:38:26,353 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 1 day, 2:55:40, time: 0.965, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0653, decode.acc_seg: 97.3786, aux.loss_ce: 0.0358, aux.acc_seg: 96.4947, loss: 0.1010 2023-02-24 16:39:14,228 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 1 day, 2:54:50, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0661, decode.acc_seg: 97.3792, aux.loss_ce: 0.0369, aux.acc_seg: 96.4411, loss: 0.1030 2023-02-24 16:40:02,033 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 1 day, 2:54:00, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2384, aux.loss_ce: 0.0370, aux.acc_seg: 96.3626, loss: 0.1058 2023-02-24 16:40:53,452 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 1 day, 2:53:16, time: 1.028, data_time: 0.083, memory: 24831, decode.loss_ce: 0.0651, decode.acc_seg: 97.3740, aux.loss_ce: 0.0361, aux.acc_seg: 96.4426, loss: 0.1012 2023-02-24 16:41:41,510 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 1 day, 2:52:27, time: 0.961, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0669, decode.acc_seg: 97.3292, aux.loss_ce: 0.0357, aux.acc_seg: 96.5070, loss: 0.1026 2023-02-24 16:42:29,348 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 1 day, 2:51:37, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0664, decode.acc_seg: 97.3238, aux.loss_ce: 0.0367, aux.acc_seg: 96.4020, loss: 0.1031 2023-02-24 16:43:17,289 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 1 day, 2:50:48, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4662, aux.loss_ce: 0.0346, aux.acc_seg: 96.5867, loss: 0.0976 2023-02-24 16:44:08,222 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 1 day, 2:50:03, time: 1.019, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0641, decode.acc_seg: 97.4364, aux.loss_ce: 0.0360, aux.acc_seg: 96.4909, loss: 0.1001 2023-02-24 16:44:56,715 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 1 day, 2:49:15, time: 0.970, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0629, decode.acc_seg: 97.4671, aux.loss_ce: 0.0363, aux.acc_seg: 96.4660, loss: 0.0991 2023-02-24 16:45:44,599 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 1 day, 2:48:25, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0705, decode.acc_seg: 97.1648, aux.loss_ce: 0.0377, aux.acc_seg: 96.3113, loss: 0.1082 2023-02-24 16:46:35,358 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 1 day, 2:47:40, time: 1.015, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0634, decode.acc_seg: 97.4380, aux.loss_ce: 0.0361, aux.acc_seg: 96.4477, loss: 0.0995 2023-02-24 16:47:23,084 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 1 day, 2:46:50, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0667, decode.acc_seg: 97.3479, aux.loss_ce: 0.0370, aux.acc_seg: 96.4138, loss: 0.1037 2023-02-24 16:48:11,730 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 1 day, 2:46:02, time: 0.973, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0635, decode.acc_seg: 97.4338, aux.loss_ce: 0.0358, aux.acc_seg: 96.4918, loss: 0.0993 2023-02-24 16:48:59,530 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 1 day, 2:45:12, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0643, decode.acc_seg: 97.4144, aux.loss_ce: 0.0357, aux.acc_seg: 96.5099, loss: 0.0999 2023-02-24 16:49:51,268 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 1 day, 2:44:29, time: 1.035, data_time: 0.085, memory: 24831, decode.loss_ce: 0.0671, decode.acc_seg: 97.3146, aux.loss_ce: 0.0362, aux.acc_seg: 96.4440, loss: 0.1033 2023-02-24 16:50:39,298 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 1 day, 2:43:39, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0679, decode.acc_seg: 97.3163, aux.loss_ce: 0.0377, aux.acc_seg: 96.3395, loss: 0.1055 2023-02-24 16:51:27,068 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 1 day, 2:42:49, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0673, decode.acc_seg: 97.2937, aux.loss_ce: 0.0361, aux.acc_seg: 96.4392, loss: 0.1034 2023-02-24 16:52:14,948 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:52:14,948 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 1 day, 2:42:00, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.3912, aux.loss_ce: 0.0358, aux.acc_seg: 96.4771, loss: 0.1003 2023-02-24 16:53:05,699 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 1 day, 2:41:15, time: 1.015, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5520, aux.loss_ce: 0.0345, aux.acc_seg: 96.6191, loss: 0.0953 2023-02-24 16:53:53,555 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 1 day, 2:40:25, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0694, decode.acc_seg: 97.2117, aux.loss_ce: 0.0354, aux.acc_seg: 96.5117, loss: 0.1048 2023-02-24 16:54:41,959 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 1 day, 2:39:36, time: 0.968, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0733, decode.acc_seg: 97.0933, aux.loss_ce: 0.0379, aux.acc_seg: 96.3378, loss: 0.1112 2023-02-24 16:55:32,652 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 1 day, 2:38:51, time: 1.014, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0664, decode.acc_seg: 97.3294, aux.loss_ce: 0.0366, aux.acc_seg: 96.4081, loss: 0.1030 2023-02-24 16:56:20,541 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 1 day, 2:38:02, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0676, decode.acc_seg: 97.3214, aux.loss_ce: 0.0361, aux.acc_seg: 96.5292, loss: 0.1037 2023-02-24 16:57:08,414 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 1 day, 2:37:12, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0678, decode.acc_seg: 97.2821, aux.loss_ce: 0.0367, aux.acc_seg: 96.3917, loss: 0.1045 2023-02-24 16:57:56,170 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 1 day, 2:36:22, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0649, decode.acc_seg: 97.3661, aux.loss_ce: 0.0358, aux.acc_seg: 96.4685, loss: 0.1007 2023-02-24 16:58:47,177 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 1 day, 2:35:38, time: 1.020, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0648, decode.acc_seg: 97.4024, aux.loss_ce: 0.0359, aux.acc_seg: 96.4983, loss: 0.1007 2023-02-24 16:59:35,005 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 1 day, 2:34:48, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4056, aux.loss_ce: 0.0349, aux.acc_seg: 96.5467, loss: 0.0992 2023-02-24 17:00:22,827 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 1 day, 2:33:58, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4140, aux.loss_ce: 0.0360, aux.acc_seg: 96.4265, loss: 0.0993 2023-02-24 17:01:10,806 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 1 day, 2:33:09, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.5077, aux.loss_ce: 0.0350, aux.acc_seg: 96.5652, loss: 0.0970 2023-02-24 17:02:02,101 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 1 day, 2:32:25, time: 1.026, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0655, decode.acc_seg: 97.3480, aux.loss_ce: 0.0358, aux.acc_seg: 96.4922, loss: 0.1013 2023-02-24 17:02:49,903 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 1 day, 2:31:35, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0626, decode.acc_seg: 97.4676, aux.loss_ce: 0.0350, aux.acc_seg: 96.5519, loss: 0.0975 2023-02-24 17:03:37,622 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 1 day, 2:30:45, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0622, decode.acc_seg: 97.4798, aux.loss_ce: 0.0363, aux.acc_seg: 96.4271, loss: 0.0985 2023-02-24 17:04:25,350 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 1 day, 2:29:55, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0661, decode.acc_seg: 97.3263, aux.loss_ce: 0.0354, aux.acc_seg: 96.5382, loss: 0.1015 2023-02-24 17:05:16,331 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 1 day, 2:29:10, time: 1.020, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0624, decode.acc_seg: 97.4844, aux.loss_ce: 0.0368, aux.acc_seg: 96.3807, loss: 0.0992 2023-02-24 17:06:04,132 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 1 day, 2:28:21, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0663, decode.acc_seg: 97.3498, aux.loss_ce: 0.0362, aux.acc_seg: 96.4882, loss: 0.1024 2023-02-24 17:06:52,615 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 1 day, 2:27:32, time: 0.969, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4528, aux.loss_ce: 0.0360, aux.acc_seg: 96.4453, loss: 0.0990 2023-02-24 17:07:43,236 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 1 day, 2:26:47, time: 1.013, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4286, aux.loss_ce: 0.0362, aux.acc_seg: 96.4655, loss: 0.1005 2023-02-24 17:08:31,059 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:08:31,059 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 1 day, 2:25:57, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0635, decode.acc_seg: 97.4482, aux.loss_ce: 0.0353, aux.acc_seg: 96.5316, loss: 0.0988 2023-02-24 17:09:18,935 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 1 day, 2:25:07, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0745, decode.acc_seg: 97.1630, aux.loss_ce: 0.0414, aux.acc_seg: 96.0052, loss: 0.1159 2023-02-24 17:10:06,615 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 1 day, 2:24:18, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0698, decode.acc_seg: 97.2573, aux.loss_ce: 0.0401, aux.acc_seg: 96.1305, loss: 0.1099 2023-02-24 17:10:57,254 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 1 day, 2:23:32, time: 1.012, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0651, decode.acc_seg: 97.3987, aux.loss_ce: 0.0364, aux.acc_seg: 96.4380, loss: 0.1014 2023-02-24 17:11:45,015 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 1 day, 2:22:42, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0648, decode.acc_seg: 97.4161, aux.loss_ce: 0.0374, aux.acc_seg: 96.3684, loss: 0.1022 2023-02-24 17:12:32,920 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 1 day, 2:21:53, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0688, decode.acc_seg: 97.2323, aux.loss_ce: 0.0368, aux.acc_seg: 96.3744, loss: 0.1057 2023-02-24 17:13:20,807 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 1 day, 2:21:03, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0626, decode.acc_seg: 97.4720, aux.loss_ce: 0.0355, aux.acc_seg: 96.4794, loss: 0.0981 2023-02-24 17:14:11,354 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 1 day, 2:20:18, time: 1.011, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0644, decode.acc_seg: 97.4047, aux.loss_ce: 0.0347, aux.acc_seg: 96.5546, loss: 0.0991 2023-02-24 17:14:59,193 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 1 day, 2:19:28, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0649, decode.acc_seg: 97.3755, aux.loss_ce: 0.0355, aux.acc_seg: 96.5198, loss: 0.1005 2023-02-24 17:15:47,577 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 1 day, 2:18:39, time: 0.968, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.3819, aux.loss_ce: 0.0353, aux.acc_seg: 96.5232, loss: 0.0998 2023-02-24 17:16:38,970 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 1 day, 2:17:55, time: 1.028, data_time: 0.062, memory: 24831, decode.loss_ce: 0.0640, decode.acc_seg: 97.4328, aux.loss_ce: 0.0357, aux.acc_seg: 96.5061, loss: 0.0997 2023-02-24 17:17:26,630 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 1 day, 2:17:05, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4631, aux.loss_ce: 0.0351, aux.acc_seg: 96.5496, loss: 0.0981 2023-02-24 17:18:14,325 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 1 day, 2:16:16, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4304, aux.loss_ce: 0.0359, aux.acc_seg: 96.4938, loss: 0.1000 2023-02-24 17:19:02,761 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 1 day, 2:15:27, time: 0.969, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0641, decode.acc_seg: 97.4244, aux.loss_ce: 0.0352, aux.acc_seg: 96.5570, loss: 0.0993 2023-02-24 17:19:53,540 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 1 day, 2:14:42, time: 1.016, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0644, decode.acc_seg: 97.4135, aux.loss_ce: 0.0353, aux.acc_seg: 96.5463, loss: 0.0996 2023-02-24 17:20:41,289 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 1 day, 2:13:52, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0631, decode.acc_seg: 97.4566, aux.loss_ce: 0.0360, aux.acc_seg: 96.4858, loss: 0.0992 2023-02-24 17:21:29,090 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 1 day, 2:13:02, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4126, aux.loss_ce: 0.0348, aux.acc_seg: 96.5648, loss: 0.0991 2023-02-24 17:22:16,835 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 1 day, 2:12:12, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4543, aux.loss_ce: 0.0342, aux.acc_seg: 96.6537, loss: 0.0975 2023-02-24 17:23:07,524 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 1 day, 2:11:27, time: 1.014, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4452, aux.loss_ce: 0.0368, aux.acc_seg: 96.3745, loss: 0.0999 2023-02-24 17:23:55,292 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 1 day, 2:10:37, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4564, aux.loss_ce: 0.0351, aux.acc_seg: 96.5485, loss: 0.0979 2023-02-24 17:24:43,269 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:24:43,274 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 1 day, 2:09:48, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0616, decode.acc_seg: 97.5313, aux.loss_ce: 0.0343, aux.acc_seg: 96.6440, loss: 0.0959 2023-02-24 17:25:31,039 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 1 day, 2:08:58, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0629, decode.acc_seg: 97.4641, aux.loss_ce: 0.0352, aux.acc_seg: 96.5349, loss: 0.0981 2023-02-24 17:26:21,708 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 1 day, 2:08:13, time: 1.013, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0660, decode.acc_seg: 97.3584, aux.loss_ce: 0.0355, aux.acc_seg: 96.5282, loss: 0.1015 2023-02-24 17:27:09,549 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 1 day, 2:07:23, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0634, decode.acc_seg: 97.4284, aux.loss_ce: 0.0348, aux.acc_seg: 96.5634, loss: 0.0983 2023-02-24 17:27:57,782 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 1 day, 2:06:34, time: 0.964, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4684, aux.loss_ce: 0.0351, aux.acc_seg: 96.5432, loss: 0.0975 2023-02-24 17:28:48,253 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 1 day, 2:05:49, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.5063, aux.loss_ce: 0.0348, aux.acc_seg: 96.5743, loss: 0.0966 2023-02-24 17:29:36,094 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 1 day, 2:04:59, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0633, decode.acc_seg: 97.4240, aux.loss_ce: 0.0346, aux.acc_seg: 96.5829, loss: 0.0979 2023-02-24 17:30:23,821 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 1 day, 2:04:09, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0634, decode.acc_seg: 97.4433, aux.loss_ce: 0.0353, aux.acc_seg: 96.5707, loss: 0.0987 2023-02-24 17:31:11,733 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 1 day, 2:03:20, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0648, decode.acc_seg: 97.3988, aux.loss_ce: 0.0358, aux.acc_seg: 96.5093, loss: 0.1006 2023-02-24 17:32:02,228 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 1 day, 2:02:34, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0641, decode.acc_seg: 97.4356, aux.loss_ce: 0.0349, aux.acc_seg: 96.6012, loss: 0.0990 2023-02-24 17:32:50,109 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 1 day, 2:01:44, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0614, decode.acc_seg: 97.5165, aux.loss_ce: 0.0352, aux.acc_seg: 96.5119, loss: 0.0966 2023-02-24 17:33:37,851 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 1 day, 2:00:55, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0675, decode.acc_seg: 97.2887, aux.loss_ce: 0.0361, aux.acc_seg: 96.4334, loss: 0.1036 2023-02-24 17:34:25,700 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 1 day, 2:00:05, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0637, decode.acc_seg: 97.4571, aux.loss_ce: 0.0345, aux.acc_seg: 96.6394, loss: 0.0982 2023-02-24 17:35:16,782 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 1 day, 1:59:20, time: 1.021, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0644, decode.acc_seg: 97.3922, aux.loss_ce: 0.0361, aux.acc_seg: 96.4657, loss: 0.1006 2023-02-24 17:36:04,552 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 1 day, 1:58:31, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0646, decode.acc_seg: 97.3924, aux.loss_ce: 0.0349, aux.acc_seg: 96.5638, loss: 0.0995 2023-02-24 17:36:52,187 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 1 day, 1:57:41, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4828, aux.loss_ce: 0.0349, aux.acc_seg: 96.5800, loss: 0.0975 2023-02-24 17:37:43,004 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 1 day, 1:56:56, time: 1.016, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4799, aux.loss_ce: 0.0343, aux.acc_seg: 96.5986, loss: 0.0964 2023-02-24 17:38:30,779 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 1 day, 1:56:06, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0650, decode.acc_seg: 97.3732, aux.loss_ce: 0.0351, aux.acc_seg: 96.5487, loss: 0.1001 2023-02-24 17:39:18,680 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 1 day, 1:55:16, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0658, decode.acc_seg: 97.3453, aux.loss_ce: 0.0364, aux.acc_seg: 96.4498, loss: 0.1022 2023-02-24 17:40:06,566 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 1 day, 1:54:27, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4586, aux.loss_ce: 0.0345, aux.acc_seg: 96.5936, loss: 0.0977 2023-02-24 17:40:57,421 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-02-24 17:41:00,217 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:41:00,224 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 1 day, 1:53:46, time: 1.073, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0699, decode.acc_seg: 97.1717, aux.loss_ce: 0.0356, aux.acc_seg: 96.4938, loss: 0.1054 2023-02-24 17:41:57,152 - mmseg - INFO - per class results: 2023-02-24 17:41:57,154 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.44 | 99.06 | | sidewalk | 87.19 | 94.5 | | building | 93.18 | 96.85 | | wall | 55.74 | 59.65 | | fence | 64.97 | 73.24 | | pole | 71.01 | 80.73 | | traffic light | 73.04 | 81.13 | | traffic sign | 83.29 | 88.39 | | vegetation | 92.87 | 97.11 | | terrain | 67.52 | 78.21 | | sky | 95.17 | 98.51 | | person | 85.04 | 90.42 | | rider | 67.71 | 80.46 | | car | 95.93 | 98.26 | | truck | 83.73 | 88.57 | | bus | 91.36 | 94.54 | | train | 86.39 | 89.48 | | motorcycle | 72.78 | 82.66 | | bicycle | 80.79 | 90.09 | +---------------+-------+-------+ 2023-02-24 17:41:57,154 - mmseg - INFO - Summary: 2023-02-24 17:41:57,154 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.58 | 81.38 | 87.47 | +-------+-------+-------+ 2023-02-24 17:41:57,162 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_48000.pth was removed 2023-02-24 17:41:58,998 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2023-02-24 17:41:58,998 - mmseg - INFO - Best mIoU is 0.8138 at 64000 iter. 2023-02-24 17:41:58,999 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:41:58,999 - mmseg - INFO - Iter(val) [125] aAcc: 0.9658, mIoU: 0.8138, mAcc: 0.8747, IoU.road: 0.9844, IoU.sidewalk: 0.8719, IoU.building: 0.9318, IoU.wall: 0.5574, IoU.fence: 0.6497, IoU.pole: 0.7101, IoU.traffic light: 0.7304, IoU.traffic sign: 0.8329, IoU.vegetation: 0.9287, IoU.terrain: 0.6752, IoU.sky: 0.9517, IoU.person: 0.8504, IoU.rider: 0.6771, IoU.car: 0.9593, IoU.truck: 0.8373, IoU.bus: 0.9136, IoU.train: 0.8639, IoU.motorcycle: 0.7278, IoU.bicycle: 0.8079, Acc.road: 0.9906, Acc.sidewalk: 0.9450, Acc.building: 0.9685, Acc.wall: 0.5965, Acc.fence: 0.7324, Acc.pole: 0.8073, Acc.traffic light: 0.8113, Acc.traffic sign: 0.8839, Acc.vegetation: 0.9711, Acc.terrain: 0.7821, Acc.sky: 0.9851, Acc.person: 0.9042, Acc.rider: 0.8046, Acc.car: 0.9826, Acc.truck: 0.8857, Acc.bus: 0.9454, Acc.train: 0.8948, Acc.motorcycle: 0.8266, Acc.bicycle: 0.9009 2023-02-24 17:42:47,016 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 1 day, 1:54:25, time: 2.136, data_time: 1.187, memory: 24831, decode.loss_ce: 0.0710, decode.acc_seg: 97.1919, aux.loss_ce: 0.0371, aux.acc_seg: 96.3790, loss: 0.1081 2023-02-24 17:43:35,066 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 1 day, 1:53:35, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0639, decode.acc_seg: 97.4276, aux.loss_ce: 0.0349, aux.acc_seg: 96.5400, loss: 0.0988 2023-02-24 17:44:23,255 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 1 day, 1:52:46, time: 0.964, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0652, decode.acc_seg: 97.3781, aux.loss_ce: 0.0363, aux.acc_seg: 96.4501, loss: 0.1015 2023-02-24 17:45:14,439 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 1 day, 1:52:01, time: 1.024, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0656, decode.acc_seg: 97.3536, aux.loss_ce: 0.0352, aux.acc_seg: 96.5261, loss: 0.1008 2023-02-24 17:46:02,265 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 1 day, 1:51:11, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0641, decode.acc_seg: 97.4368, aux.loss_ce: 0.0355, aux.acc_seg: 96.5422, loss: 0.0996 2023-02-24 17:46:50,215 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 1 day, 1:50:22, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0692, decode.acc_seg: 97.2124, aux.loss_ce: 0.0370, aux.acc_seg: 96.3455, loss: 0.1062 2023-02-24 17:47:38,026 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 1 day, 1:49:32, time: 0.956, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0634, decode.acc_seg: 97.4289, aux.loss_ce: 0.0344, aux.acc_seg: 96.5994, loss: 0.0978 2023-02-24 17:48:28,863 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 1 day, 1:48:47, time: 1.017, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0649, decode.acc_seg: 97.4054, aux.loss_ce: 0.0361, aux.acc_seg: 96.4660, loss: 0.1010 2023-02-24 17:49:16,759 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 1 day, 1:47:57, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0644, decode.acc_seg: 97.3963, aux.loss_ce: 0.0363, aux.acc_seg: 96.4336, loss: 0.1007 2023-02-24 17:50:04,650 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 1 day, 1:47:07, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4519, aux.loss_ce: 0.0340, aux.acc_seg: 96.6452, loss: 0.0970 2023-02-24 17:50:55,329 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 1 day, 1:46:22, time: 1.014, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.4920, aux.loss_ce: 0.0344, aux.acc_seg: 96.6003, loss: 0.0965 2023-02-24 17:51:43,338 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 1 day, 1:45:32, time: 0.960, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.4128, aux.loss_ce: 0.0362, aux.acc_seg: 96.4730, loss: 0.1007 2023-02-24 17:52:31,477 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 1 day, 1:44:43, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4655, aux.loss_ce: 0.0344, aux.acc_seg: 96.6308, loss: 0.0974 2023-02-24 17:53:19,577 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 1 day, 1:43:54, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0619, decode.acc_seg: 97.5031, aux.loss_ce: 0.0359, aux.acc_seg: 96.4823, loss: 0.0978 2023-02-24 17:54:10,073 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 1 day, 1:43:08, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0639, decode.acc_seg: 97.4326, aux.loss_ce: 0.0343, aux.acc_seg: 96.6358, loss: 0.0982 2023-02-24 17:54:58,305 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 1 day, 1:42:19, time: 0.965, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4563, aux.loss_ce: 0.0339, aux.acc_seg: 96.6368, loss: 0.0966 2023-02-24 17:55:46,341 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 1 day, 1:41:29, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0650, decode.acc_seg: 97.3929, aux.loss_ce: 0.0355, aux.acc_seg: 96.4968, loss: 0.1005 2023-02-24 17:56:34,038 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 1 day, 1:40:39, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.4873, aux.loss_ce: 0.0354, aux.acc_seg: 96.5105, loss: 0.0972 2023-02-24 17:57:25,205 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 1 day, 1:39:55, time: 1.023, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0654, decode.acc_seg: 97.3784, aux.loss_ce: 0.0358, aux.acc_seg: 96.4902, loss: 0.1013 2023-02-24 17:58:13,925 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:58:13,926 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 1 day, 1:39:06, time: 0.974, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4701, aux.loss_ce: 0.0348, aux.acc_seg: 96.5816, loss: 0.0978 2023-02-24 17:59:01,769 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 1 day, 1:38:16, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.4881, aux.loss_ce: 0.0340, aux.acc_seg: 96.6143, loss: 0.0958 2023-02-24 17:59:49,422 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 1 day, 1:37:26, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.4889, aux.loss_ce: 0.0344, aux.acc_seg: 96.5921, loss: 0.0962 2023-02-24 18:00:40,004 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 1 day, 1:36:41, time: 1.012, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0669, decode.acc_seg: 97.3693, aux.loss_ce: 0.0355, aux.acc_seg: 96.5103, loss: 0.1025 2023-02-24 18:01:27,781 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 1 day, 1:35:51, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0658, decode.acc_seg: 97.3691, aux.loss_ce: 0.0363, aux.acc_seg: 96.4684, loss: 0.1020 2023-02-24 18:02:15,818 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 1 day, 1:35:02, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.5121, aux.loss_ce: 0.0350, aux.acc_seg: 96.5559, loss: 0.0968 2023-02-24 18:03:06,651 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 1 day, 1:34:16, time: 1.017, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0659, decode.acc_seg: 97.3500, aux.loss_ce: 0.0361, aux.acc_seg: 96.4359, loss: 0.1019 2023-02-24 18:03:54,184 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 1 day, 1:33:26, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4533, aux.loss_ce: 0.0344, aux.acc_seg: 96.5958, loss: 0.0972 2023-02-24 18:04:41,838 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 1 day, 1:32:36, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4221, aux.loss_ce: 0.0350, aux.acc_seg: 96.5490, loss: 0.0993 2023-02-24 18:05:29,490 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 1 day, 1:31:46, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0635, decode.acc_seg: 97.4537, aux.loss_ce: 0.0356, aux.acc_seg: 96.5097, loss: 0.0991 2023-02-24 18:06:19,979 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 1 day, 1:31:00, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0629, decode.acc_seg: 97.4421, aux.loss_ce: 0.0351, aux.acc_seg: 96.5179, loss: 0.0980 2023-02-24 18:07:07,709 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 1 day, 1:30:10, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0676, decode.acc_seg: 97.2793, aux.loss_ce: 0.0362, aux.acc_seg: 96.4556, loss: 0.1038 2023-02-24 18:07:55,589 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 1 day, 1:29:21, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.5038, aux.loss_ce: 0.0347, aux.acc_seg: 96.5780, loss: 0.0965 2023-02-24 18:08:43,367 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 1 day, 1:28:31, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0631, decode.acc_seg: 97.4574, aux.loss_ce: 0.0345, aux.acc_seg: 96.6213, loss: 0.0976 2023-02-24 18:09:34,118 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 1 day, 1:27:45, time: 1.015, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0665, decode.acc_seg: 97.3436, aux.loss_ce: 0.0364, aux.acc_seg: 96.4655, loss: 0.1030 2023-02-24 18:10:21,717 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 1 day, 1:26:55, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0640, decode.acc_seg: 97.4190, aux.loss_ce: 0.0350, aux.acc_seg: 96.5583, loss: 0.0991 2023-02-24 18:11:09,207 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 1 day, 1:26:05, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0631, decode.acc_seg: 97.4580, aux.loss_ce: 0.0348, aux.acc_seg: 96.5989, loss: 0.0979 2023-02-24 18:11:59,610 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 1 day, 1:25:19, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0641, decode.acc_seg: 97.4210, aux.loss_ce: 0.0347, aux.acc_seg: 96.5896, loss: 0.0987 2023-02-24 18:12:47,056 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 1 day, 1:24:29, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0601, decode.acc_seg: 97.5546, aux.loss_ce: 0.0334, aux.acc_seg: 96.6908, loss: 0.0935 2023-02-24 18:13:34,570 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 1 day, 1:23:39, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0670, decode.acc_seg: 97.3293, aux.loss_ce: 0.0356, aux.acc_seg: 96.5289, loss: 0.1027 2023-02-24 18:14:21,925 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:14:21,925 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 1 day, 1:22:48, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4715, aux.loss_ce: 0.0343, aux.acc_seg: 96.6033, loss: 0.0971 2023-02-24 18:15:12,031 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 1 day, 1:22:02, time: 1.002, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0640, decode.acc_seg: 97.4266, aux.loss_ce: 0.0352, aux.acc_seg: 96.5481, loss: 0.0992 2023-02-24 18:15:59,382 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 1 day, 1:21:11, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4581, aux.loss_ce: 0.0352, aux.acc_seg: 96.5710, loss: 0.0982 2023-02-24 18:16:46,938 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 1 day, 1:20:21, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0611, decode.acc_seg: 97.5352, aux.loss_ce: 0.0349, aux.acc_seg: 96.5602, loss: 0.0961 2023-02-24 18:17:34,634 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 1 day, 1:19:31, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0640, decode.acc_seg: 97.4112, aux.loss_ce: 0.0347, aux.acc_seg: 96.5769, loss: 0.0987 2023-02-24 18:18:25,045 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 1 day, 1:18:45, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5304, aux.loss_ce: 0.0331, aux.acc_seg: 96.7066, loss: 0.0938 2023-02-24 18:19:12,481 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 1 day, 1:17:55, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5452, aux.loss_ce: 0.0338, aux.acc_seg: 96.6389, loss: 0.0941 2023-02-24 18:19:59,871 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 1 day, 1:17:05, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0645, decode.acc_seg: 97.3996, aux.loss_ce: 0.0349, aux.acc_seg: 96.5685, loss: 0.0993 2023-02-24 18:20:47,814 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 1 day, 1:16:15, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4757, aux.loss_ce: 0.0340, aux.acc_seg: 96.6392, loss: 0.0968 2023-02-24 18:21:38,524 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 1 day, 1:15:30, time: 1.014, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0634, decode.acc_seg: 97.4214, aux.loss_ce: 0.0345, aux.acc_seg: 96.5685, loss: 0.0979 2023-02-24 18:22:26,407 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 1 day, 1:14:40, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.4971, aux.loss_ce: 0.0344, aux.acc_seg: 96.5785, loss: 0.0957 2023-02-24 18:23:13,902 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 1 day, 1:13:50, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0633, decode.acc_seg: 97.4491, aux.loss_ce: 0.0371, aux.acc_seg: 96.3719, loss: 0.1003 2023-02-24 18:24:04,332 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 1 day, 1:13:04, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0614, decode.acc_seg: 97.5278, aux.loss_ce: 0.0339, aux.acc_seg: 96.6867, loss: 0.0953 2023-02-24 18:24:52,384 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 1 day, 1:12:15, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.3286, aux.loss_ce: 0.0351, aux.acc_seg: 96.5055, loss: 0.1008 2023-02-24 18:25:39,873 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 1 day, 1:11:24, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0680, decode.acc_seg: 97.2683, aux.loss_ce: 0.0358, aux.acc_seg: 96.4853, loss: 0.1038 2023-02-24 18:26:27,347 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 1 day, 1:10:34, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4638, aux.loss_ce: 0.0343, aux.acc_seg: 96.6129, loss: 0.0972 2023-02-24 18:27:17,994 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 1 day, 1:09:49, time: 1.013, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0611, decode.acc_seg: 97.5285, aux.loss_ce: 0.0338, aux.acc_seg: 96.6733, loss: 0.0949 2023-02-24 18:28:05,532 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 1 day, 1:08:58, time: 0.951, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0622, decode.acc_seg: 97.4714, aux.loss_ce: 0.0343, aux.acc_seg: 96.6081, loss: 0.0965 2023-02-24 18:28:52,977 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 1 day, 1:08:08, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5880, aux.loss_ce: 0.0331, aux.acc_seg: 96.7518, loss: 0.0933 2023-02-24 18:29:40,638 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 1 day, 1:07:18, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0630, decode.acc_seg: 97.4379, aux.loss_ce: 0.0346, aux.acc_seg: 96.5474, loss: 0.0976 2023-02-24 18:30:31,633 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:30:31,634 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 1 day, 1:06:33, time: 1.020, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4678, aux.loss_ce: 0.0347, aux.acc_seg: 96.5659, loss: 0.0974 2023-02-24 18:31:19,457 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 1 day, 1:05:43, time: 0.956, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0719, decode.acc_seg: 97.1322, aux.loss_ce: 0.0387, aux.acc_seg: 96.2369, loss: 0.1106 2023-02-24 18:32:06,916 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 1 day, 1:04:53, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0716, decode.acc_seg: 97.2050, aux.loss_ce: 0.0379, aux.acc_seg: 96.3889, loss: 0.1095 2023-02-24 18:32:57,461 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 1 day, 1:04:07, time: 1.011, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0642, decode.acc_seg: 97.4130, aux.loss_ce: 0.0347, aux.acc_seg: 96.6011, loss: 0.0989 2023-02-24 18:33:45,382 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 1 day, 1:03:18, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0665, decode.acc_seg: 97.3279, aux.loss_ce: 0.0359, aux.acc_seg: 96.4802, loss: 0.1023 2023-02-24 18:34:33,669 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 1 day, 1:02:29, time: 0.966, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0667, decode.acc_seg: 97.3052, aux.loss_ce: 0.0364, aux.acc_seg: 96.4539, loss: 0.1031 2023-02-24 18:35:21,157 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 1 day, 1:01:39, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.5256, aux.loss_ce: 0.0348, aux.acc_seg: 96.5456, loss: 0.0961 2023-02-24 18:36:12,216 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 1 day, 1:00:53, time: 1.021, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4847, aux.loss_ce: 0.0346, aux.acc_seg: 96.5885, loss: 0.0967 2023-02-24 18:36:59,780 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 1 day, 1:00:03, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0631, decode.acc_seg: 97.4485, aux.loss_ce: 0.0342, aux.acc_seg: 96.6318, loss: 0.0973 2023-02-24 18:37:47,150 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 1 day, 0:59:13, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0641, decode.acc_seg: 97.4184, aux.loss_ce: 0.0360, aux.acc_seg: 96.5039, loss: 0.1001 2023-02-24 18:38:34,632 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 1 day, 0:58:23, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0600, decode.acc_seg: 97.5567, aux.loss_ce: 0.0335, aux.acc_seg: 96.6870, loss: 0.0935 2023-02-24 18:39:24,993 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 1 day, 0:57:37, time: 1.007, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0634, decode.acc_seg: 97.4504, aux.loss_ce: 0.0355, aux.acc_seg: 96.5310, loss: 0.0989 2023-02-24 18:40:12,447 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 1 day, 0:56:47, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5048, aux.loss_ce: 0.0337, aux.acc_seg: 96.6348, loss: 0.0949 2023-02-24 18:40:59,860 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 1 day, 0:55:56, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0610, decode.acc_seg: 97.5282, aux.loss_ce: 0.0339, aux.acc_seg: 96.6144, loss: 0.0949 2023-02-24 18:41:47,726 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 1 day, 0:55:07, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4789, aux.loss_ce: 0.0333, aux.acc_seg: 96.7089, loss: 0.0955 2023-02-24 18:42:38,292 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 1 day, 0:54:21, time: 1.012, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4643, aux.loss_ce: 0.0349, aux.acc_seg: 96.5625, loss: 0.0975 2023-02-24 18:43:25,993 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 1 day, 0:53:31, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4759, aux.loss_ce: 0.0341, aux.acc_seg: 96.6516, loss: 0.0968 2023-02-24 18:44:13,940 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 1 day, 0:52:42, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4536, aux.loss_ce: 0.0341, aux.acc_seg: 96.6374, loss: 0.0968 2023-02-24 18:45:04,320 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 1 day, 0:51:55, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0597, decode.acc_seg: 97.5767, aux.loss_ce: 0.0343, aux.acc_seg: 96.6160, loss: 0.0940 2023-02-24 18:45:51,933 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 1 day, 0:51:06, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4452, aux.loss_ce: 0.0346, aux.acc_seg: 96.5802, loss: 0.0974 2023-02-24 18:46:39,663 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:46:39,663 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 1 day, 0:50:16, time: 0.955, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4737, aux.loss_ce: 0.0342, aux.acc_seg: 96.6130, loss: 0.0967 2023-02-24 18:47:27,549 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 1 day, 0:49:26, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.5203, aux.loss_ce: 0.0344, aux.acc_seg: 96.6352, loss: 0.0962 2023-02-24 18:48:18,097 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 1 day, 0:48:40, time: 1.011, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5548, aux.loss_ce: 0.0329, aux.acc_seg: 96.7415, loss: 0.0931 2023-02-24 18:49:05,726 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 1 day, 0:47:50, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0624, decode.acc_seg: 97.4738, aux.loss_ce: 0.0348, aux.acc_seg: 96.5718, loss: 0.0971 2023-02-24 18:49:53,503 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 1 day, 0:47:01, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0623, decode.acc_seg: 97.4827, aux.loss_ce: 0.0350, aux.acc_seg: 96.5324, loss: 0.0973 2023-02-24 18:50:41,239 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 1 day, 0:46:11, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0617, decode.acc_seg: 97.4949, aux.loss_ce: 0.0349, aux.acc_seg: 96.5598, loss: 0.0966 2023-02-24 18:51:31,969 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 1 day, 0:45:25, time: 1.015, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5376, aux.loss_ce: 0.0343, aux.acc_seg: 96.6193, loss: 0.0948 2023-02-24 18:52:20,283 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 1 day, 0:44:36, time: 0.967, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0657, decode.acc_seg: 97.3198, aux.loss_ce: 0.0351, aux.acc_seg: 96.5203, loss: 0.1008 2023-02-24 18:53:08,226 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 1 day, 0:43:47, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0619, decode.acc_seg: 97.5126, aux.loss_ce: 0.0344, aux.acc_seg: 96.6067, loss: 0.0963 2023-02-24 18:53:58,487 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 1 day, 0:43:00, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5465, aux.loss_ce: 0.0348, aux.acc_seg: 96.5831, loss: 0.0952 2023-02-24 18:54:46,191 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 1 day, 0:42:11, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5406, aux.loss_ce: 0.0346, aux.acc_seg: 96.5717, loss: 0.0948 2023-02-24 18:55:33,795 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 1 day, 0:41:21, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4576, aux.loss_ce: 0.0341, aux.acc_seg: 96.6434, loss: 0.0968 2023-02-24 18:56:21,501 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 1 day, 0:40:31, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.5030, aux.loss_ce: 0.0338, aux.acc_seg: 96.6605, loss: 0.0959 2023-02-24 18:57:11,913 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 1 day, 0:39:45, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0614, decode.acc_seg: 97.5168, aux.loss_ce: 0.0346, aux.acc_seg: 96.6057, loss: 0.0959 2023-02-24 18:58:00,064 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 1 day, 0:38:55, time: 0.963, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.4838, aux.loss_ce: 0.0349, aux.acc_seg: 96.5539, loss: 0.0969 2023-02-24 18:58:47,609 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 1 day, 0:38:05, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5912, aux.loss_ce: 0.0331, aux.acc_seg: 96.7221, loss: 0.0925 2023-02-24 18:59:35,166 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 1 day, 0:37:15, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0648, decode.acc_seg: 97.3615, aux.loss_ce: 0.0365, aux.acc_seg: 96.4024, loss: 0.1013 2023-02-24 19:00:25,720 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 1 day, 0:36:30, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6472, aux.loss_ce: 0.0344, aux.acc_seg: 96.6227, loss: 0.0925 2023-02-24 19:01:13,295 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 1 day, 0:35:40, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0603, decode.acc_seg: 97.5576, aux.loss_ce: 0.0342, aux.acc_seg: 96.6518, loss: 0.0945 2023-02-24 19:02:00,663 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 1 day, 0:34:49, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0592, decode.acc_seg: 97.5867, aux.loss_ce: 0.0347, aux.acc_seg: 96.5839, loss: 0.0939 2023-02-24 19:02:48,485 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:02:48,485 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 1 day, 0:34:00, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0589, decode.acc_seg: 97.5916, aux.loss_ce: 0.0338, aux.acc_seg: 96.6509, loss: 0.0928 2023-02-24 19:03:38,687 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 1 day, 0:33:13, time: 1.004, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5373, aux.loss_ce: 0.0339, aux.acc_seg: 96.6727, loss: 0.0951 2023-02-24 19:04:26,193 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 1 day, 0:32:23, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0643, decode.acc_seg: 97.4150, aux.loss_ce: 0.0375, aux.acc_seg: 96.3787, loss: 0.1018 2023-02-24 19:05:13,754 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 1 day, 0:31:33, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.5243, aux.loss_ce: 0.0355, aux.acc_seg: 96.4769, loss: 0.0968 2023-02-24 19:06:04,079 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 1 day, 0:30:47, time: 1.007, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0668, decode.acc_seg: 97.3625, aux.loss_ce: 0.0360, aux.acc_seg: 96.5027, loss: 0.1029 2023-02-24 19:06:51,926 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 1 day, 0:29:57, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0640, decode.acc_seg: 97.4190, aux.loss_ce: 0.0363, aux.acc_seg: 96.4439, loss: 0.1003 2023-02-24 19:07:39,972 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 1 day, 0:29:08, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0607, decode.acc_seg: 97.5424, aux.loss_ce: 0.0343, aux.acc_seg: 96.6077, loss: 0.0950 2023-02-24 19:08:27,803 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 1 day, 0:28:18, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0610, decode.acc_seg: 97.5436, aux.loss_ce: 0.0346, aux.acc_seg: 96.5933, loss: 0.0955 2023-02-24 19:09:18,064 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 1 day, 0:27:32, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0624, decode.acc_seg: 97.4859, aux.loss_ce: 0.0336, aux.acc_seg: 96.6851, loss: 0.0960 2023-02-24 19:10:05,554 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 1 day, 0:26:42, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0635, decode.acc_seg: 97.4235, aux.loss_ce: 0.0349, aux.acc_seg: 96.5662, loss: 0.0984 2023-02-24 19:10:53,376 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 1 day, 0:25:52, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0669, decode.acc_seg: 97.2908, aux.loss_ce: 0.0355, aux.acc_seg: 96.5081, loss: 0.1025 2023-02-24 19:11:40,916 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 1 day, 0:25:02, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.5289, aux.loss_ce: 0.0343, aux.acc_seg: 96.6353, loss: 0.0956 2023-02-24 19:12:31,457 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 1 day, 0:24:16, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4776, aux.loss_ce: 0.0344, aux.acc_seg: 96.6296, loss: 0.0971 2023-02-24 19:13:18,948 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 1 day, 0:23:26, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0614, decode.acc_seg: 97.5161, aux.loss_ce: 0.0339, aux.acc_seg: 96.6911, loss: 0.0953 2023-02-24 19:14:06,706 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 1 day, 0:22:37, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0615, decode.acc_seg: 97.4949, aux.loss_ce: 0.0351, aux.acc_seg: 96.5741, loss: 0.0965 2023-02-24 19:14:54,130 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 1 day, 0:21:47, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0614, decode.acc_seg: 97.4905, aux.loss_ce: 0.0335, aux.acc_seg: 96.6657, loss: 0.0949 2023-02-24 19:15:44,275 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 1 day, 0:21:00, time: 1.003, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5345, aux.loss_ce: 0.0346, aux.acc_seg: 96.6302, loss: 0.0952 2023-02-24 19:16:31,853 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 1 day, 0:20:10, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0653, decode.acc_seg: 97.3641, aux.loss_ce: 0.0355, aux.acc_seg: 96.5266, loss: 0.1007 2023-02-24 19:17:19,399 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 1 day, 0:19:20, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0616, decode.acc_seg: 97.5007, aux.loss_ce: 0.0350, aux.acc_seg: 96.5727, loss: 0.0966 2023-02-24 19:18:09,794 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 1 day, 0:18:34, time: 1.008, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0600, decode.acc_seg: 97.5735, aux.loss_ce: 0.0340, aux.acc_seg: 96.7007, loss: 0.0940 2023-02-24 19:18:57,539 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:18:57,540 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 1 day, 0:17:44, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0616, decode.acc_seg: 97.4863, aux.loss_ce: 0.0337, aux.acc_seg: 96.6664, loss: 0.0953 2023-02-24 19:19:45,752 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 1 day, 0:16:55, time: 0.964, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0649, decode.acc_seg: 97.3707, aux.loss_ce: 0.0349, aux.acc_seg: 96.5433, loss: 0.0998 2023-02-24 19:20:33,475 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 1 day, 0:16:05, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4750, aux.loss_ce: 0.0338, aux.acc_seg: 96.6756, loss: 0.0966 2023-02-24 19:21:24,094 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 1 day, 0:15:19, time: 1.012, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5397, aux.loss_ce: 0.0335, aux.acc_seg: 96.6859, loss: 0.0941 2023-02-24 19:22:11,869 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 1 day, 0:14:30, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0623, decode.acc_seg: 97.4707, aux.loss_ce: 0.0338, aux.acc_seg: 96.6537, loss: 0.0962 2023-02-24 19:22:59,214 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 1 day, 0:13:40, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0614, decode.acc_seg: 97.5350, aux.loss_ce: 0.0338, aux.acc_seg: 96.6837, loss: 0.0952 2023-02-24 19:23:47,029 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 1 day, 0:12:50, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.5809, aux.loss_ce: 0.0337, aux.acc_seg: 96.6595, loss: 0.0925 2023-02-24 19:24:37,471 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 1 day, 0:12:04, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4542, aux.loss_ce: 0.0350, aux.acc_seg: 96.5454, loss: 0.0977 2023-02-24 19:25:25,851 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 1 day, 0:11:15, time: 0.968, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4298, aux.loss_ce: 0.0354, aux.acc_seg: 96.4552, loss: 0.0987 2023-02-24 19:26:13,603 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 1 day, 0:10:25, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5419, aux.loss_ce: 0.0334, aux.acc_seg: 96.7019, loss: 0.0940 2023-02-24 19:27:04,613 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 1 day, 0:09:40, time: 1.020, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0610, decode.acc_seg: 97.5282, aux.loss_ce: 0.0338, aux.acc_seg: 96.6579, loss: 0.0948 2023-02-24 19:27:52,042 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 1 day, 0:08:50, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.4903, aux.loss_ce: 0.0337, aux.acc_seg: 96.6907, loss: 0.0956 2023-02-24 19:28:39,632 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 1 day, 0:08:00, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4705, aux.loss_ce: 0.0342, aux.acc_seg: 96.6150, loss: 0.0963 2023-02-24 19:29:27,625 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 1 day, 0:07:11, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4711, aux.loss_ce: 0.0344, aux.acc_seg: 96.5806, loss: 0.0966 2023-02-24 19:30:18,314 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 1 day, 0:06:25, time: 1.014, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4373, aux.loss_ce: 0.0349, aux.acc_seg: 96.5453, loss: 0.0981 2023-02-24 19:31:05,636 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 1 day, 0:05:34, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4917, aux.loss_ce: 0.0337, aux.acc_seg: 96.6665, loss: 0.0959 2023-02-24 19:31:53,046 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 1 day, 0:04:44, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5895, aux.loss_ce: 0.0331, aux.acc_seg: 96.7081, loss: 0.0924 2023-02-24 19:32:40,795 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 1 day, 0:03:55, time: 0.955, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0617, decode.acc_seg: 97.4945, aux.loss_ce: 0.0344, aux.acc_seg: 96.5860, loss: 0.0962 2023-02-24 19:33:31,432 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 1 day, 0:03:09, time: 1.012, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5329, aux.loss_ce: 0.0350, aux.acc_seg: 96.4979, loss: 0.0957 2023-02-24 19:34:18,941 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 1 day, 0:02:19, time: 0.951, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0619, decode.acc_seg: 97.4858, aux.loss_ce: 0.0337, aux.acc_seg: 96.6571, loss: 0.0956 2023-02-24 19:35:06,370 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:35:06,371 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 1 day, 0:01:29, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0617, decode.acc_seg: 97.5048, aux.loss_ce: 0.0340, aux.acc_seg: 96.6457, loss: 0.0957 2023-02-24 19:35:54,021 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 1 day, 0:00:39, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5500, aux.loss_ce: 0.0349, aux.acc_seg: 96.5533, loss: 0.0953 2023-02-24 19:36:44,757 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 23:59:53, time: 1.014, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0615, decode.acc_seg: 97.5014, aux.loss_ce: 0.0339, aux.acc_seg: 96.6296, loss: 0.0954 2023-02-24 19:37:32,701 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 23:59:04, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0622, decode.acc_seg: 97.4748, aux.loss_ce: 0.0341, aux.acc_seg: 96.6248, loss: 0.0962 2023-02-24 19:38:21,212 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 23:58:15, time: 0.970, data_time: 0.026, memory: 24831, decode.loss_ce: 0.0600, decode.acc_seg: 97.5713, aux.loss_ce: 0.0343, aux.acc_seg: 96.6226, loss: 0.0944 2023-02-24 19:39:11,657 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 23:57:29, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5074, aux.loss_ce: 0.0340, aux.acc_seg: 96.6250, loss: 0.0952 2023-02-24 19:39:59,871 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 23:56:40, time: 0.964, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0601, decode.acc_seg: 97.5562, aux.loss_ce: 0.0345, aux.acc_seg: 96.5832, loss: 0.0945 2023-02-24 19:40:47,755 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 23:55:50, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.5085, aux.loss_ce: 0.0344, aux.acc_seg: 96.6101, loss: 0.0965 2023-02-24 19:41:35,486 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 23:55:00, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6609, aux.loss_ce: 0.0326, aux.acc_seg: 96.7731, loss: 0.0905 2023-02-24 19:42:25,943 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 23:54:14, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0597, decode.acc_seg: 97.5857, aux.loss_ce: 0.0334, aux.acc_seg: 96.7312, loss: 0.0931 2023-02-24 19:43:13,701 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 23:53:25, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4609, aux.loss_ce: 0.0341, aux.acc_seg: 96.6077, loss: 0.0969 2023-02-24 19:44:01,380 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 23:52:35, time: 0.953, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0592, decode.acc_seg: 97.5879, aux.loss_ce: 0.0331, aux.acc_seg: 96.7015, loss: 0.0923 2023-02-24 19:44:48,986 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 23:51:45, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0583, decode.acc_seg: 97.6189, aux.loss_ce: 0.0333, aux.acc_seg: 96.6996, loss: 0.0916 2023-02-24 19:45:39,994 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 23:50:59, time: 1.020, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5573, aux.loss_ce: 0.0342, aux.acc_seg: 96.6417, loss: 0.0943 2023-02-24 19:46:27,697 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 23:50:10, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.4883, aux.loss_ce: 0.0337, aux.acc_seg: 96.6585, loss: 0.0955 2023-02-24 19:47:15,207 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 23:49:20, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0615, decode.acc_seg: 97.5094, aux.loss_ce: 0.0333, aux.acc_seg: 96.7147, loss: 0.0948 2023-02-24 19:48:05,585 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 23:48:33, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0632, decode.acc_seg: 97.4346, aux.loss_ce: 0.0339, aux.acc_seg: 96.6292, loss: 0.0971 2023-02-24 19:48:52,984 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 23:47:43, time: 0.948, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5687, aux.loss_ce: 0.0334, aux.acc_seg: 96.7021, loss: 0.0931 2023-02-24 19:49:40,333 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 23:46:53, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0609, decode.acc_seg: 97.5179, aux.loss_ce: 0.0335, aux.acc_seg: 96.6644, loss: 0.0944 2023-02-24 19:50:27,851 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 23:46:03, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5361, aux.loss_ce: 0.0331, aux.acc_seg: 96.7201, loss: 0.0937 2023-02-24 19:51:18,196 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:51:18,197 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 23:45:17, time: 1.007, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5489, aux.loss_ce: 0.0344, aux.acc_seg: 96.6253, loss: 0.0949 2023-02-24 19:52:06,682 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 23:44:28, time: 0.969, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.5772, aux.loss_ce: 0.0346, aux.acc_seg: 96.5932, loss: 0.0959 2023-02-24 19:52:54,120 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 23:43:38, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5359, aux.loss_ce: 0.0339, aux.acc_seg: 96.6530, loss: 0.0945 2023-02-24 19:53:41,733 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 23:42:48, time: 0.952, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0635, decode.acc_seg: 97.4039, aux.loss_ce: 0.0337, aux.acc_seg: 96.6375, loss: 0.0972 2023-02-24 19:54:32,323 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 23:42:02, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0598, decode.acc_seg: 97.5871, aux.loss_ce: 0.0334, aux.acc_seg: 96.7033, loss: 0.0931 2023-02-24 19:55:20,085 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 23:41:13, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5699, aux.loss_ce: 0.0329, aux.acc_seg: 96.7751, loss: 0.0931 2023-02-24 19:56:07,679 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 23:40:23, time: 0.952, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5187, aux.loss_ce: 0.0345, aux.acc_seg: 96.5549, loss: 0.0949 2023-02-24 19:56:55,180 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 23:39:33, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5389, aux.loss_ce: 0.0331, aux.acc_seg: 96.7316, loss: 0.0933 2023-02-24 19:57:45,783 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 23:38:47, time: 1.012, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5911, aux.loss_ce: 0.0333, aux.acc_seg: 96.7219, loss: 0.0929 2023-02-24 19:58:33,101 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 23:37:57, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0597, decode.acc_seg: 97.5628, aux.loss_ce: 0.0332, aux.acc_seg: 96.6867, loss: 0.0930 2023-02-24 19:59:20,536 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 23:37:07, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0610, decode.acc_seg: 97.5272, aux.loss_ce: 0.0336, aux.acc_seg: 96.6959, loss: 0.0946 2023-02-24 20:00:10,789 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 23:36:20, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5200, aux.loss_ce: 0.0338, aux.acc_seg: 96.6533, loss: 0.0950 2023-02-24 20:00:58,331 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 23:35:30, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5582, aux.loss_ce: 0.0342, aux.acc_seg: 96.6346, loss: 0.0946 2023-02-24 20:01:46,049 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 23:34:41, time: 0.954, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0563, decode.acc_seg: 97.6968, aux.loss_ce: 0.0327, aux.acc_seg: 96.7534, loss: 0.0890 2023-02-24 20:02:33,420 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 23:33:51, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4644, aux.loss_ce: 0.0356, aux.acc_seg: 96.4826, loss: 0.0981 2023-02-24 20:03:24,059 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 23:33:04, time: 1.013, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6141, aux.loss_ce: 0.0335, aux.acc_seg: 96.6957, loss: 0.0920 2023-02-24 20:04:12,279 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 23:32:15, time: 0.965, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6409, aux.loss_ce: 0.0327, aux.acc_seg: 96.7358, loss: 0.0904 2023-02-24 20:05:00,100 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 23:31:26, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4713, aux.loss_ce: 0.0342, aux.acc_seg: 96.6286, loss: 0.0970 2023-02-24 20:05:47,778 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 23:30:36, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0607, decode.acc_seg: 97.5181, aux.loss_ce: 0.0334, aux.acc_seg: 96.6781, loss: 0.0941 2023-02-24 20:06:38,465 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 23:29:50, time: 1.014, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0616, decode.acc_seg: 97.4959, aux.loss_ce: 0.0339, aux.acc_seg: 96.6546, loss: 0.0955 2023-02-24 20:07:25,884 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:07:25,884 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 23:29:00, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5342, aux.loss_ce: 0.0332, aux.acc_seg: 96.6925, loss: 0.0938 2023-02-24 20:08:13,194 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 23:28:10, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5473, aux.loss_ce: 0.0330, aux.acc_seg: 96.7368, loss: 0.0933 2023-02-24 20:09:03,837 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 23:27:24, time: 1.013, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0582, decode.acc_seg: 97.6513, aux.loss_ce: 0.0339, aux.acc_seg: 96.6654, loss: 0.0921 2023-02-24 20:09:51,158 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 23:26:34, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0587, decode.acc_seg: 97.6151, aux.loss_ce: 0.0325, aux.acc_seg: 96.7814, loss: 0.0912 2023-02-24 20:10:38,734 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 23:25:44, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0622, decode.acc_seg: 97.4762, aux.loss_ce: 0.0342, aux.acc_seg: 96.6234, loss: 0.0964 2023-02-24 20:11:26,611 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 23:24:55, time: 0.958, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0595, decode.acc_seg: 97.5851, aux.loss_ce: 0.0329, aux.acc_seg: 96.7155, loss: 0.0924 2023-02-24 20:12:17,265 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 23:24:09, time: 1.013, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6490, aux.loss_ce: 0.0330, aux.acc_seg: 96.7298, loss: 0.0907 2023-02-24 20:13:04,825 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 23:23:19, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0622, decode.acc_seg: 97.4608, aux.loss_ce: 0.0332, aux.acc_seg: 96.6984, loss: 0.0953 2023-02-24 20:13:52,810 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 23:22:29, time: 0.960, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0583, decode.acc_seg: 97.6202, aux.loss_ce: 0.0322, aux.acc_seg: 96.7995, loss: 0.0905 2023-02-24 20:14:40,404 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 23:21:40, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.5995, aux.loss_ce: 0.0335, aux.acc_seg: 96.6655, loss: 0.0925 2023-02-24 20:15:31,148 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 23:20:54, time: 1.015, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5259, aux.loss_ce: 0.0340, aux.acc_seg: 96.6408, loss: 0.0946 2023-02-24 20:16:18,914 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 23:20:04, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0589, decode.acc_seg: 97.6037, aux.loss_ce: 0.0336, aux.acc_seg: 96.6863, loss: 0.0925 2023-02-24 20:17:06,634 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 23:19:14, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0589, decode.acc_seg: 97.5911, aux.loss_ce: 0.0321, aux.acc_seg: 96.8048, loss: 0.0909 2023-02-24 20:17:54,137 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 23:18:25, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4472, aux.loss_ce: 0.0342, aux.acc_seg: 96.6408, loss: 0.0970 2023-02-24 20:18:45,262 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 23:17:39, time: 1.023, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.4965, aux.loss_ce: 0.0346, aux.acc_seg: 96.5838, loss: 0.0967 2023-02-24 20:19:33,197 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 23:16:50, time: 0.959, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0580, decode.acc_seg: 97.6571, aux.loss_ce: 0.0331, aux.acc_seg: 96.7438, loss: 0.0911 2023-02-24 20:20:20,738 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 23:16:00, time: 0.951, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0627, decode.acc_seg: 97.4511, aux.loss_ce: 0.0336, aux.acc_seg: 96.6993, loss: 0.0963 2023-02-24 20:21:11,684 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 23:15:14, time: 1.019, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.4700, aux.loss_ce: 0.0346, aux.acc_seg: 96.5830, loss: 0.0959 2023-02-24 20:21:59,072 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 23:14:24, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5485, aux.loss_ce: 0.0339, aux.acc_seg: 96.6779, loss: 0.0944 2023-02-24 20:22:46,804 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 23:13:34, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5666, aux.loss_ce: 0.0330, aux.acc_seg: 96.7320, loss: 0.0929 2023-02-24 20:23:34,266 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:23:34,267 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 23:12:45, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4555, aux.loss_ce: 0.0341, aux.acc_seg: 96.6053, loss: 0.0966 2023-02-24 20:24:24,808 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 23:11:58, time: 1.011, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.6070, aux.loss_ce: 0.0335, aux.acc_seg: 96.6963, loss: 0.0923 2023-02-24 20:25:12,884 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 23:11:09, time: 0.962, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5835, aux.loss_ce: 0.0334, aux.acc_seg: 96.6967, loss: 0.0927 2023-02-24 20:26:00,348 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 23:10:19, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5626, aux.loss_ce: 0.0329, aux.acc_seg: 96.7376, loss: 0.0928 2023-02-24 20:26:48,056 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 23:09:30, time: 0.954, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0601, decode.acc_seg: 97.5539, aux.loss_ce: 0.0331, aux.acc_seg: 96.7410, loss: 0.0932 2023-02-24 20:27:38,791 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 23:08:43, time: 1.015, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5183, aux.loss_ce: 0.0333, aux.acc_seg: 96.7024, loss: 0.0941 2023-02-24 20:28:26,717 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 23:07:54, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0584, decode.acc_seg: 97.6348, aux.loss_ce: 0.0328, aux.acc_seg: 96.7506, loss: 0.0912 2023-02-24 20:29:14,583 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 23:07:05, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.6019, aux.loss_ce: 0.0321, aux.acc_seg: 96.8207, loss: 0.0911 2023-02-24 20:30:01,979 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 23:06:15, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0580, decode.acc_seg: 97.6383, aux.loss_ce: 0.0326, aux.acc_seg: 96.7683, loss: 0.0906 2023-02-24 20:30:52,470 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 23:05:28, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0603, decode.acc_seg: 97.5431, aux.loss_ce: 0.0339, aux.acc_seg: 96.6419, loss: 0.0942 2023-02-24 20:31:39,909 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 23:04:38, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0592, decode.acc_seg: 97.6092, aux.loss_ce: 0.0329, aux.acc_seg: 96.7456, loss: 0.0921 2023-02-24 20:32:28,296 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 23:03:50, time: 0.967, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5415, aux.loss_ce: 0.0336, aux.acc_seg: 96.6988, loss: 0.0948 2023-02-24 20:33:19,471 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 23:03:04, time: 1.024, data_time: 0.085, memory: 24831, decode.loss_ce: 0.0659, decode.acc_seg: 97.3538, aux.loss_ce: 0.0351, aux.acc_seg: 96.5257, loss: 0.1010 2023-02-24 20:34:07,049 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 23:02:14, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5609, aux.loss_ce: 0.0363, aux.acc_seg: 96.4895, loss: 0.0967 2023-02-24 20:34:54,661 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 23:01:25, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0617, decode.acc_seg: 97.4997, aux.loss_ce: 0.0338, aux.acc_seg: 96.6837, loss: 0.0955 2023-02-24 20:35:42,208 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 23:00:35, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0613, decode.acc_seg: 97.5065, aux.loss_ce: 0.0344, aux.acc_seg: 96.5991, loss: 0.0957 2023-02-24 20:36:32,887 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 22:59:49, time: 1.014, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.5859, aux.loss_ce: 0.0332, aux.acc_seg: 96.6840, loss: 0.0922 2023-02-24 20:37:20,332 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 22:58:59, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0620, decode.acc_seg: 97.4703, aux.loss_ce: 0.0339, aux.acc_seg: 96.6203, loss: 0.0960 2023-02-24 20:38:08,056 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 22:58:09, time: 0.955, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5312, aux.loss_ce: 0.0330, aux.acc_seg: 96.7176, loss: 0.0942 2023-02-24 20:38:55,496 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 22:57:19, time: 0.949, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.7264, aux.loss_ce: 0.0316, aux.acc_seg: 96.8875, loss: 0.0879 2023-02-24 20:39:46,151 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:39:46,152 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 22:56:33, time: 1.013, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6378, aux.loss_ce: 0.0327, aux.acc_seg: 96.7212, loss: 0.0903 2023-02-24 20:40:33,513 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 22:55:43, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0601, decode.acc_seg: 97.5688, aux.loss_ce: 0.0337, aux.acc_seg: 96.6938, loss: 0.0937 2023-02-24 20:41:20,826 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 22:54:53, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0615, decode.acc_seg: 97.4960, aux.loss_ce: 0.0334, aux.acc_seg: 96.6717, loss: 0.0949 2023-02-24 20:42:11,701 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 22:54:07, time: 1.018, data_time: 0.083, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5390, aux.loss_ce: 0.0332, aux.acc_seg: 96.6895, loss: 0.0934 2023-02-24 20:42:59,169 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 22:53:17, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6808, aux.loss_ce: 0.0320, aux.acc_seg: 96.8398, loss: 0.0888 2023-02-24 20:43:46,566 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 22:52:27, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.4985, aux.loss_ce: 0.0339, aux.acc_seg: 96.6222, loss: 0.0951 2023-02-24 20:44:33,904 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 22:51:37, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0595, decode.acc_seg: 97.5452, aux.loss_ce: 0.0329, aux.acc_seg: 96.7142, loss: 0.0924 2023-02-24 20:45:24,836 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 22:50:51, time: 1.019, data_time: 0.082, memory: 24831, decode.loss_ce: 0.0573, decode.acc_seg: 97.6879, aux.loss_ce: 0.0318, aux.acc_seg: 96.8732, loss: 0.0890 2023-02-24 20:46:12,335 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 22:50:02, time: 0.950, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.5673, aux.loss_ce: 0.0332, aux.acc_seg: 96.6770, loss: 0.0923 2023-02-24 20:46:59,812 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 22:49:12, time: 0.950, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6483, aux.loss_ce: 0.0324, aux.acc_seg: 96.7749, loss: 0.0902 2023-02-24 20:47:47,270 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 22:48:22, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5856, aux.loss_ce: 0.0336, aux.acc_seg: 96.7013, loss: 0.0935 2023-02-24 20:48:38,252 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 22:47:36, time: 1.020, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5243, aux.loss_ce: 0.0328, aux.acc_seg: 96.7245, loss: 0.0933 2023-02-24 20:49:25,714 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 22:46:46, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5084, aux.loss_ce: 0.0329, aux.acc_seg: 96.7272, loss: 0.0935 2023-02-24 20:50:13,501 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 22:45:57, time: 0.955, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5463, aux.loss_ce: 0.0331, aux.acc_seg: 96.7315, loss: 0.0938 2023-02-24 20:51:00,809 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 22:45:07, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6470, aux.loss_ce: 0.0316, aux.acc_seg: 96.8485, loss: 0.0892 2023-02-24 20:51:52,302 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 22:44:21, time: 1.030, data_time: 0.087, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4381, aux.loss_ce: 0.0345, aux.acc_seg: 96.6042, loss: 0.0972 2023-02-24 20:52:39,832 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 22:43:32, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6444, aux.loss_ce: 0.0327, aux.acc_seg: 96.7676, loss: 0.0908 2023-02-24 20:53:27,299 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 22:42:42, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6930, aux.loss_ce: 0.0332, aux.acc_seg: 96.7121, loss: 0.0900 2023-02-24 20:54:18,485 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 22:41:56, time: 1.023, data_time: 0.083, memory: 24831, decode.loss_ce: 0.0570, decode.acc_seg: 97.6818, aux.loss_ce: 0.0317, aux.acc_seg: 96.8521, loss: 0.0887 2023-02-24 20:55:05,867 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 22:41:06, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0597, decode.acc_seg: 97.5903, aux.loss_ce: 0.0338, aux.acc_seg: 96.6833, loss: 0.0935 2023-02-24 20:55:53,591 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:55:53,592 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 22:40:17, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.6032, aux.loss_ce: 0.0324, aux.acc_seg: 96.7968, loss: 0.0914 2023-02-24 20:56:40,960 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 22:39:27, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0584, decode.acc_seg: 97.6026, aux.loss_ce: 0.0328, aux.acc_seg: 96.7105, loss: 0.0912 2023-02-24 20:57:31,513 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 22:38:40, time: 1.011, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0618, decode.acc_seg: 97.4945, aux.loss_ce: 0.0340, aux.acc_seg: 96.6274, loss: 0.0958 2023-02-24 20:58:19,042 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 22:37:51, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5381, aux.loss_ce: 0.0334, aux.acc_seg: 96.7008, loss: 0.0939 2023-02-24 20:59:06,514 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 22:37:01, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.5985, aux.loss_ce: 0.0325, aux.acc_seg: 96.7800, loss: 0.0915 2023-02-24 20:59:54,183 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 22:36:11, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5314, aux.loss_ce: 0.0328, aux.acc_seg: 96.7415, loss: 0.0937 2023-02-24 21:00:44,984 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 22:35:25, time: 1.016, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5766, aux.loss_ce: 0.0327, aux.acc_seg: 96.7199, loss: 0.0919 2023-02-24 21:01:33,117 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 22:34:36, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0589, decode.acc_seg: 97.5965, aux.loss_ce: 0.0338, aux.acc_seg: 96.6516, loss: 0.0928 2023-02-24 21:02:21,147 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 22:33:47, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5633, aux.loss_ce: 0.0330, aux.acc_seg: 96.7320, loss: 0.0930 2023-02-24 21:03:11,437 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 22:33:00, time: 1.006, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0628, decode.acc_seg: 97.4322, aux.loss_ce: 0.0337, aux.acc_seg: 96.6748, loss: 0.0965 2023-02-24 21:03:58,930 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 22:32:10, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5755, aux.loss_ce: 0.0335, aux.acc_seg: 96.6794, loss: 0.0934 2023-02-24 21:04:46,214 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 22:31:20, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0583, decode.acc_seg: 97.6165, aux.loss_ce: 0.0325, aux.acc_seg: 96.7766, loss: 0.0908 2023-02-24 21:05:33,551 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 22:30:30, time: 0.947, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.6016, aux.loss_ce: 0.0326, aux.acc_seg: 96.7556, loss: 0.0912 2023-02-24 21:06:24,091 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 22:29:44, time: 1.011, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0621, decode.acc_seg: 97.4900, aux.loss_ce: 0.0328, aux.acc_seg: 96.7381, loss: 0.0949 2023-02-24 21:07:11,504 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 22:28:54, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6455, aux.loss_ce: 0.0328, aux.acc_seg: 96.7279, loss: 0.0901 2023-02-24 21:07:59,021 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 22:28:04, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5964, aux.loss_ce: 0.0338, aux.acc_seg: 96.6467, loss: 0.0931 2023-02-24 21:08:46,535 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 22:27:15, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0573, decode.acc_seg: 97.6711, aux.loss_ce: 0.0322, aux.acc_seg: 96.7953, loss: 0.0895 2023-02-24 21:09:37,570 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 22:26:29, time: 1.021, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7086, aux.loss_ce: 0.0311, aux.acc_seg: 96.8976, loss: 0.0869 2023-02-24 21:10:25,446 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 22:25:39, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5633, aux.loss_ce: 0.0333, aux.acc_seg: 96.6843, loss: 0.0929 2023-02-24 21:11:13,952 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 22:24:51, time: 0.970, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5330, aux.loss_ce: 0.0334, aux.acc_seg: 96.6699, loss: 0.0937 2023-02-24 21:12:01,845 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:12:01,845 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 22:24:01, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0583, decode.acc_seg: 97.6324, aux.loss_ce: 0.0328, aux.acc_seg: 96.7670, loss: 0.0911 2023-02-24 21:12:52,181 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 22:23:15, time: 1.007, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6170, aux.loss_ce: 0.0333, aux.acc_seg: 96.7203, loss: 0.0914 2023-02-24 21:13:39,563 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 22:22:25, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5512, aux.loss_ce: 0.0334, aux.acc_seg: 96.7001, loss: 0.0940 2023-02-24 21:14:26,886 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 22:21:35, time: 0.946, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5131, aux.loss_ce: 0.0334, aux.acc_seg: 96.7007, loss: 0.0942 2023-02-24 21:15:17,286 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 22:20:48, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5903, aux.loss_ce: 0.0324, aux.acc_seg: 96.7853, loss: 0.0917 2023-02-24 21:16:04,704 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 22:19:58, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6647, aux.loss_ce: 0.0327, aux.acc_seg: 96.7586, loss: 0.0900 2023-02-24 21:16:52,149 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 22:19:09, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.5835, aux.loss_ce: 0.0330, aux.acc_seg: 96.7059, loss: 0.0921 2023-02-24 21:17:39,704 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 22:18:19, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6508, aux.loss_ce: 0.0323, aux.acc_seg: 96.7880, loss: 0.0899 2023-02-24 21:18:29,857 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 22:17:32, time: 1.003, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0600, decode.acc_seg: 97.5466, aux.loss_ce: 0.0326, aux.acc_seg: 96.7516, loss: 0.0927 2023-02-24 21:19:17,156 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 22:16:42, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.6085, aux.loss_ce: 0.0323, aux.acc_seg: 96.7931, loss: 0.0911 2023-02-24 21:20:04,786 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 22:15:53, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5781, aux.loss_ce: 0.0333, aux.acc_seg: 96.7030, loss: 0.0929 2023-02-24 21:20:52,249 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 22:15:03, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0607, decode.acc_seg: 97.5440, aux.loss_ce: 0.0332, aux.acc_seg: 96.7108, loss: 0.0939 2023-02-24 21:21:43,303 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 22:14:17, time: 1.021, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0607, decode.acc_seg: 97.5184, aux.loss_ce: 0.0340, aux.acc_seg: 96.6167, loss: 0.0947 2023-02-24 21:22:31,086 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 22:13:27, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5916, aux.loss_ce: 0.0334, aux.acc_seg: 96.6979, loss: 0.0937 2023-02-24 21:23:18,704 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 22:12:38, time: 0.952, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.5978, aux.loss_ce: 0.0330, aux.acc_seg: 96.7452, loss: 0.0922 2023-02-24 21:24:09,452 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 22:11:52, time: 1.015, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5364, aux.loss_ce: 0.0338, aux.acc_seg: 96.6442, loss: 0.0947 2023-02-24 21:24:56,739 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 22:11:02, time: 0.946, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5447, aux.loss_ce: 0.0331, aux.acc_seg: 96.7319, loss: 0.0936 2023-02-24 21:25:44,198 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 22:10:12, time: 0.949, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0595, decode.acc_seg: 97.5737, aux.loss_ce: 0.0326, aux.acc_seg: 96.7678, loss: 0.0921 2023-02-24 21:26:31,801 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 22:09:22, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0608, decode.acc_seg: 97.5219, aux.loss_ce: 0.0342, aux.acc_seg: 96.5752, loss: 0.0950 2023-02-24 21:27:22,574 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 22:08:36, time: 1.016, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0602, decode.acc_seg: 97.5675, aux.loss_ce: 0.0335, aux.acc_seg: 96.6838, loss: 0.0937 2023-02-24 21:28:10,115 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:28:10,115 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 22:07:46, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6853, aux.loss_ce: 0.0326, aux.acc_seg: 96.7804, loss: 0.0895 2023-02-24 21:28:58,045 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 22:06:57, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0612, decode.acc_seg: 97.5036, aux.loss_ce: 0.0343, aux.acc_seg: 96.5754, loss: 0.0956 2023-02-24 21:29:45,717 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 22:06:08, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0592, decode.acc_seg: 97.5923, aux.loss_ce: 0.0329, aux.acc_seg: 96.7572, loss: 0.0921 2023-02-24 21:30:36,936 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 22:05:22, time: 1.024, data_time: 0.087, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6330, aux.loss_ce: 0.0329, aux.acc_seg: 96.7168, loss: 0.0906 2023-02-24 21:31:24,402 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 22:04:32, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.5756, aux.loss_ce: 0.0326, aux.acc_seg: 96.7381, loss: 0.0916 2023-02-24 21:32:12,043 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 22:03:42, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0600, decode.acc_seg: 97.5547, aux.loss_ce: 0.0328, aux.acc_seg: 96.7329, loss: 0.0928 2023-02-24 21:32:59,375 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 22:02:53, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0606, decode.acc_seg: 97.5343, aux.loss_ce: 0.0327, aux.acc_seg: 96.7387, loss: 0.0933 2023-02-24 21:33:49,658 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 22:02:06, time: 1.005, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5651, aux.loss_ce: 0.0323, aux.acc_seg: 96.7666, loss: 0.0917 2023-02-24 21:34:37,182 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 22:01:16, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0597, decode.acc_seg: 97.5714, aux.loss_ce: 0.0320, aux.acc_seg: 96.8336, loss: 0.0917 2023-02-24 21:35:25,313 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 22:00:27, time: 0.963, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6186, aux.loss_ce: 0.0324, aux.acc_seg: 96.7630, loss: 0.0910 2023-02-24 21:36:15,881 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 21:59:41, time: 1.012, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6866, aux.loss_ce: 0.0324, aux.acc_seg: 96.7820, loss: 0.0892 2023-02-24 21:37:04,008 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 21:58:51, time: 0.963, data_time: 0.026, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6366, aux.loss_ce: 0.0329, aux.acc_seg: 96.7249, loss: 0.0905 2023-02-24 21:37:51,418 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 21:58:02, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5618, aux.loss_ce: 0.0339, aux.acc_seg: 96.6229, loss: 0.0935 2023-02-24 21:38:39,288 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 21:57:12, time: 0.957, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0570, decode.acc_seg: 97.6805, aux.loss_ce: 0.0313, aux.acc_seg: 96.9058, loss: 0.0883 2023-02-24 21:39:29,581 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 21:56:26, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0582, decode.acc_seg: 97.6247, aux.loss_ce: 0.0312, aux.acc_seg: 96.8997, loss: 0.0894 2023-02-24 21:40:16,995 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 21:55:36, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5249, aux.loss_ce: 0.0329, aux.acc_seg: 96.7317, loss: 0.0933 2023-02-24 21:41:04,407 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 21:54:46, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6779, aux.loss_ce: 0.0316, aux.acc_seg: 96.8622, loss: 0.0884 2023-02-24 21:41:51,739 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 21:53:56, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0597, decode.acc_seg: 97.5769, aux.loss_ce: 0.0324, aux.acc_seg: 96.7905, loss: 0.0921 2023-02-24 21:42:42,121 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 21:53:09, time: 1.008, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0605, decode.acc_seg: 97.5420, aux.loss_ce: 0.0327, aux.acc_seg: 96.7563, loss: 0.0933 2023-02-24 21:43:29,472 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 21:52:20, time: 0.947, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6409, aux.loss_ce: 0.0331, aux.acc_seg: 96.6975, loss: 0.0909 2023-02-24 21:44:16,861 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:44:16,861 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 21:51:30, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0595, decode.acc_seg: 97.5970, aux.loss_ce: 0.0326, aux.acc_seg: 96.7920, loss: 0.0920 2023-02-24 21:45:04,706 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 21:50:41, time: 0.957, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.7260, aux.loss_ce: 0.0318, aux.acc_seg: 96.8518, loss: 0.0878 2023-02-24 21:45:55,968 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 21:49:55, time: 1.025, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6464, aux.loss_ce: 0.0326, aux.acc_seg: 96.7276, loss: 0.0901 2023-02-24 21:46:43,813 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 21:49:05, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0592, decode.acc_seg: 97.5934, aux.loss_ce: 0.0330, aux.acc_seg: 96.7310, loss: 0.0922 2023-02-24 21:47:31,521 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 21:48:16, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.7123, aux.loss_ce: 0.0314, aux.acc_seg: 96.8791, loss: 0.0875 2023-02-24 21:48:22,590 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 21:47:30, time: 1.021, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5486, aux.loss_ce: 0.0324, aux.acc_seg: 96.7424, loss: 0.0920 2023-02-24 21:49:10,799 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 21:46:41, time: 0.964, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5855, aux.loss_ce: 0.0337, aux.acc_seg: 96.6712, loss: 0.0930 2023-02-24 21:49:58,868 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 21:45:52, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6395, aux.loss_ce: 0.0327, aux.acc_seg: 96.7562, loss: 0.0906 2023-02-24 21:50:47,053 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 21:45:03, time: 0.963, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.5856, aux.loss_ce: 0.0321, aux.acc_seg: 96.7742, loss: 0.0909 2023-02-24 21:51:38,146 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 21:44:17, time: 1.022, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6064, aux.loss_ce: 0.0325, aux.acc_seg: 96.7412, loss: 0.0909 2023-02-24 21:52:25,809 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 21:43:27, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7336, aux.loss_ce: 0.0329, aux.acc_seg: 96.7531, loss: 0.0882 2023-02-24 21:53:13,473 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 21:42:38, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.6059, aux.loss_ce: 0.0326, aux.acc_seg: 96.7669, loss: 0.0911 2023-02-24 21:54:01,153 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 21:41:48, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.7144, aux.loss_ce: 0.0317, aux.acc_seg: 96.8559, loss: 0.0877 2023-02-24 21:54:51,642 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 21:41:02, time: 1.010, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0583, decode.acc_seg: 97.6167, aux.loss_ce: 0.0321, aux.acc_seg: 96.7814, loss: 0.0904 2023-02-24 21:55:39,174 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 21:40:12, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.6024, aux.loss_ce: 0.0320, aux.acc_seg: 96.8194, loss: 0.0908 2023-02-24 21:56:26,716 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 21:39:22, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0566, decode.acc_seg: 97.6805, aux.loss_ce: 0.0317, aux.acc_seg: 96.8392, loss: 0.0883 2023-02-24 21:57:17,293 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 21:38:36, time: 1.012, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5913, aux.loss_ce: 0.0338, aux.acc_seg: 96.6894, loss: 0.0934 2023-02-24 21:58:05,385 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 21:37:47, time: 0.962, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6556, aux.loss_ce: 0.0323, aux.acc_seg: 96.7912, loss: 0.0898 2023-02-24 21:58:53,222 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 21:36:58, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0573, decode.acc_seg: 97.6570, aux.loss_ce: 0.0319, aux.acc_seg: 96.8365, loss: 0.0892 2023-02-24 21:59:40,996 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 21:36:08, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0566, decode.acc_seg: 97.6829, aux.loss_ce: 0.0316, aux.acc_seg: 96.8520, loss: 0.0882 2023-02-24 22:00:32,714 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-02-24 22:00:34,969 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:00:34,996 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 21:35:25, time: 1.080, data_time: 0.086, memory: 24831, decode.loss_ce: 0.0582, decode.acc_seg: 97.6336, aux.loss_ce: 0.0330, aux.acc_seg: 96.7323, loss: 0.0912 2023-02-24 22:01:34,398 - mmseg - INFO - per class results: 2023-02-24 22:01:34,407 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.61 | 99.23 | | sidewalk | 88.31 | 94.54 | | building | 93.58 | 97.52 | | wall | 62.71 | 71.26 | | fence | 68.04 | 75.26 | | pole | 71.67 | 82.36 | | traffic light | 74.56 | 83.53 | | traffic sign | 83.27 | 89.27 | | vegetation | 93.1 | 95.81 | | terrain | 67.63 | 79.42 | | sky | 94.85 | 98.84 | | person | 85.51 | 93.39 | | rider | 69.27 | 78.91 | | car | 96.09 | 98.12 | | truck | 84.95 | 89.14 | | bus | 92.09 | 95.22 | | train | 86.83 | 89.07 | | motorcycle | 72.62 | 82.46 | | bicycle | 81.46 | 91.69 | +---------------+-------+-------+ 2023-02-24 22:01:34,407 - mmseg - INFO - Summary: 2023-02-24 22:01:34,408 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.77 | 82.38 | 88.69 | +-------+-------+-------+ 2023-02-24 22:01:34,432 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_64000.pth was removed 2023-02-24 22:01:36,320 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. 2023-02-24 22:01:36,325 - mmseg - INFO - Best mIoU is 0.8238 at 80000 iter. 2023-02-24 22:01:36,325 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:01:36,325 - mmseg - INFO - Iter(val) [125] aAcc: 0.9677, mIoU: 0.8238, mAcc: 0.8869, IoU.road: 0.9861, IoU.sidewalk: 0.8831, IoU.building: 0.9358, IoU.wall: 0.6271, IoU.fence: 0.6804, IoU.pole: 0.7167, IoU.traffic light: 0.7456, IoU.traffic sign: 0.8327, IoU.vegetation: 0.9310, IoU.terrain: 0.6763, IoU.sky: 0.9485, IoU.person: 0.8551, IoU.rider: 0.6927, IoU.car: 0.9609, IoU.truck: 0.8495, IoU.bus: 0.9209, IoU.train: 0.8683, IoU.motorcycle: 0.7262, IoU.bicycle: 0.8146, Acc.road: 0.9923, Acc.sidewalk: 0.9454, Acc.building: 0.9752, Acc.wall: 0.7126, Acc.fence: 0.7526, Acc.pole: 0.8236, Acc.traffic light: 0.8353, Acc.traffic sign: 0.8927, Acc.vegetation: 0.9581, Acc.terrain: 0.7942, Acc.sky: 0.9884, Acc.person: 0.9339, Acc.rider: 0.7891, Acc.car: 0.9812, Acc.truck: 0.8914, Acc.bus: 0.9522, Acc.train: 0.8907, Acc.motorcycle: 0.8246, Acc.bicycle: 0.9169 2023-02-24 22:02:24,489 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 21:35:37, time: 2.190, data_time: 1.238, memory: 24831, decode.loss_ce: 0.0607, decode.acc_seg: 97.5352, aux.loss_ce: 0.0331, aux.acc_seg: 96.7210, loss: 0.0938 2023-02-24 22:03:12,752 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 21:34:48, time: 0.965, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6697, aux.loss_ce: 0.0317, aux.acc_seg: 96.8602, loss: 0.0885 2023-02-24 22:04:00,606 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 21:33:59, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6593, aux.loss_ce: 0.0323, aux.acc_seg: 96.8284, loss: 0.0898 2023-02-24 22:04:51,410 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 21:33:12, time: 1.016, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.6017, aux.loss_ce: 0.0326, aux.acc_seg: 96.7731, loss: 0.0917 2023-02-24 22:05:39,046 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 21:32:23, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6488, aux.loss_ce: 0.0327, aux.acc_seg: 96.7551, loss: 0.0902 2023-02-24 22:06:26,602 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 21:31:33, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7242, aux.loss_ce: 0.0309, aux.acc_seg: 96.9074, loss: 0.0862 2023-02-24 22:07:14,015 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 21:30:43, time: 0.948, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0587, decode.acc_seg: 97.6039, aux.loss_ce: 0.0318, aux.acc_seg: 96.8282, loss: 0.0904 2023-02-24 22:08:04,298 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 21:29:56, time: 1.005, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.5742, aux.loss_ce: 0.0323, aux.acc_seg: 96.7684, loss: 0.0912 2023-02-24 22:08:52,089 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 21:29:07, time: 0.956, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0595, decode.acc_seg: 97.5637, aux.loss_ce: 0.0326, aux.acc_seg: 96.7540, loss: 0.0921 2023-02-24 22:09:39,625 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 21:28:17, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0604, decode.acc_seg: 97.5462, aux.loss_ce: 0.0329, aux.acc_seg: 96.7158, loss: 0.0934 2023-02-24 22:10:30,386 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 21:27:31, time: 1.015, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6835, aux.loss_ce: 0.0317, aux.acc_seg: 96.8671, loss: 0.0888 2023-02-24 22:11:17,910 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 21:26:41, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.7017, aux.loss_ce: 0.0316, aux.acc_seg: 96.8435, loss: 0.0879 2023-02-24 22:12:05,709 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 21:25:52, time: 0.956, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6330, aux.loss_ce: 0.0329, aux.acc_seg: 96.7251, loss: 0.0909 2023-02-24 22:12:53,854 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 21:25:03, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6702, aux.loss_ce: 0.0323, aux.acc_seg: 96.8022, loss: 0.0897 2023-02-24 22:13:44,421 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 21:24:16, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7718, aux.loss_ce: 0.0317, aux.acc_seg: 96.8414, loss: 0.0858 2023-02-24 22:14:31,914 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 21:23:26, time: 0.950, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6649, aux.loss_ce: 0.0327, aux.acc_seg: 96.7542, loss: 0.0898 2023-02-24 22:15:20,077 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 21:22:37, time: 0.963, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7586, aux.loss_ce: 0.0318, aux.acc_seg: 96.8684, loss: 0.0869 2023-02-24 22:16:07,708 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 21:21:48, time: 0.953, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6327, aux.loss_ce: 0.0324, aux.acc_seg: 96.7928, loss: 0.0905 2023-02-24 22:16:59,041 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 21:21:02, time: 1.026, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6321, aux.loss_ce: 0.0317, aux.acc_seg: 96.8498, loss: 0.0895 2023-02-24 22:17:46,682 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:17:46,682 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 21:20:12, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6025, aux.loss_ce: 0.0329, aux.acc_seg: 96.7263, loss: 0.0914 2023-02-24 22:18:34,152 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 21:19:22, time: 0.949, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.6020, aux.loss_ce: 0.0327, aux.acc_seg: 96.7626, loss: 0.0920 2023-02-24 22:19:24,364 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 21:18:35, time: 1.004, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0565, decode.acc_seg: 97.6897, aux.loss_ce: 0.0310, aux.acc_seg: 96.9129, loss: 0.0875 2023-02-24 22:20:11,911 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 21:17:46, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0582, decode.acc_seg: 97.6343, aux.loss_ce: 0.0314, aux.acc_seg: 96.8706, loss: 0.0896 2023-02-24 22:20:59,422 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 21:16:56, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0601, decode.acc_seg: 97.5609, aux.loss_ce: 0.0324, aux.acc_seg: 96.7913, loss: 0.0924 2023-02-24 22:21:46,884 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 21:16:06, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6717, aux.loss_ce: 0.0326, aux.acc_seg: 96.7594, loss: 0.0897 2023-02-24 22:22:37,230 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 21:15:19, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.6086, aux.loss_ce: 0.0326, aux.acc_seg: 96.7317, loss: 0.0915 2023-02-24 22:23:24,741 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 21:14:30, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0590, decode.acc_seg: 97.5954, aux.loss_ce: 0.0316, aux.acc_seg: 96.8630, loss: 0.0906 2023-02-24 22:24:12,586 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 21:13:40, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6322, aux.loss_ce: 0.0317, aux.acc_seg: 96.8302, loss: 0.0895 2023-02-24 22:25:00,625 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 21:12:51, time: 0.961, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6407, aux.loss_ce: 0.0326, aux.acc_seg: 96.7592, loss: 0.0906 2023-02-24 22:25:51,326 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 21:12:04, time: 1.014, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.4536, aux.loss_ce: 0.0347, aux.acc_seg: 96.5997, loss: 0.0972 2023-02-24 22:26:38,879 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 21:11:15, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0611, decode.acc_seg: 97.5070, aux.loss_ce: 0.0337, aux.acc_seg: 96.6940, loss: 0.0948 2023-02-24 22:27:26,420 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 21:10:25, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6315, aux.loss_ce: 0.0325, aux.acc_seg: 96.7708, loss: 0.0903 2023-02-24 22:28:14,156 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 21:09:36, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0584, decode.acc_seg: 97.6164, aux.loss_ce: 0.0316, aux.acc_seg: 96.8558, loss: 0.0899 2023-02-24 22:29:04,502 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 21:08:49, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0625, decode.acc_seg: 97.5278, aux.loss_ce: 0.0332, aux.acc_seg: 96.7742, loss: 0.0957 2023-02-24 22:29:51,907 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 21:07:59, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0610, decode.acc_seg: 97.5252, aux.loss_ce: 0.0339, aux.acc_seg: 96.6819, loss: 0.0949 2023-02-24 22:30:39,487 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 21:07:09, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.5882, aux.loss_ce: 0.0334, aux.acc_seg: 96.6956, loss: 0.0926 2023-02-24 22:31:30,017 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 21:06:23, time: 1.011, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6476, aux.loss_ce: 0.0323, aux.acc_seg: 96.7675, loss: 0.0894 2023-02-24 22:32:17,486 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 21:05:33, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.7045, aux.loss_ce: 0.0326, aux.acc_seg: 96.7576, loss: 0.0890 2023-02-24 22:33:04,932 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 21:04:43, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.5781, aux.loss_ce: 0.0327, aux.acc_seg: 96.7506, loss: 0.0919 2023-02-24 22:33:52,521 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:33:52,521 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 21:03:54, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.5993, aux.loss_ce: 0.0325, aux.acc_seg: 96.7676, loss: 0.0911 2023-02-24 22:34:42,957 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 21:03:07, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0563, decode.acc_seg: 97.6821, aux.loss_ce: 0.0325, aux.acc_seg: 96.7489, loss: 0.0888 2023-02-24 22:35:30,849 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 21:02:17, time: 0.958, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7236, aux.loss_ce: 0.0312, aux.acc_seg: 96.9027, loss: 0.0869 2023-02-24 22:36:18,354 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 21:01:28, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6404, aux.loss_ce: 0.0322, aux.acc_seg: 96.7980, loss: 0.0899 2023-02-24 22:37:05,848 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 21:00:38, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0573, decode.acc_seg: 97.6624, aux.loss_ce: 0.0324, aux.acc_seg: 96.7806, loss: 0.0897 2023-02-24 22:37:56,302 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 20:59:51, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6305, aux.loss_ce: 0.0317, aux.acc_seg: 96.8357, loss: 0.0894 2023-02-24 22:38:43,900 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 20:59:02, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7492, aux.loss_ce: 0.0327, aux.acc_seg: 96.7666, loss: 0.0879 2023-02-24 22:39:31,517 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 20:58:12, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6757, aux.loss_ce: 0.0317, aux.acc_seg: 96.8574, loss: 0.0885 2023-02-24 22:40:22,246 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 20:57:25, time: 1.014, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0587, decode.acc_seg: 97.5847, aux.loss_ce: 0.0316, aux.acc_seg: 96.8325, loss: 0.0903 2023-02-24 22:41:09,733 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 20:56:36, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7569, aux.loss_ce: 0.0313, aux.acc_seg: 96.8538, loss: 0.0858 2023-02-24 22:41:57,428 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 20:55:46, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.6009, aux.loss_ce: 0.0328, aux.acc_seg: 96.7432, loss: 0.0919 2023-02-24 22:42:44,878 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 20:54:57, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7436, aux.loss_ce: 0.0305, aux.acc_seg: 96.9231, loss: 0.0851 2023-02-24 22:43:35,310 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 20:54:10, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6375, aux.loss_ce: 0.0316, aux.acc_seg: 96.8596, loss: 0.0895 2023-02-24 22:44:22,773 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 20:53:20, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0589, decode.acc_seg: 97.6069, aux.loss_ce: 0.0323, aux.acc_seg: 96.8154, loss: 0.0912 2023-02-24 22:45:10,421 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 20:52:30, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6195, aux.loss_ce: 0.0319, aux.acc_seg: 96.8129, loss: 0.0897 2023-02-24 22:45:58,320 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 20:51:41, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.6887, aux.loss_ce: 0.0302, aux.acc_seg: 96.9609, loss: 0.0862 2023-02-24 22:46:49,155 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 20:50:55, time: 1.017, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6144, aux.loss_ce: 0.0321, aux.acc_seg: 96.7951, loss: 0.0906 2023-02-24 22:47:36,925 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 20:50:05, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5911, aux.loss_ce: 0.0330, aux.acc_seg: 96.7426, loss: 0.0926 2023-02-24 22:48:24,854 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 20:49:16, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6907, aux.loss_ce: 0.0314, aux.acc_seg: 96.8625, loss: 0.0879 2023-02-24 22:49:12,559 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 20:48:27, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6739, aux.loss_ce: 0.0321, aux.acc_seg: 96.7919, loss: 0.0888 2023-02-24 22:50:03,018 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:50:03,019 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 20:47:40, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5698, aux.loss_ce: 0.0332, aux.acc_seg: 96.7346, loss: 0.0932 2023-02-24 22:50:50,577 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 20:46:50, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6973, aux.loss_ce: 0.0310, aux.acc_seg: 96.9283, loss: 0.0874 2023-02-24 22:51:38,556 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 20:46:01, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6356, aux.loss_ce: 0.0318, aux.acc_seg: 96.8348, loss: 0.0897 2023-02-24 22:52:29,316 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 20:45:14, time: 1.015, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.5963, aux.loss_ce: 0.0322, aux.acc_seg: 96.7632, loss: 0.0908 2023-02-24 22:53:16,922 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 20:44:25, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6524, aux.loss_ce: 0.0320, aux.acc_seg: 96.8022, loss: 0.0892 2023-02-24 22:54:04,912 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 20:43:36, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7687, aux.loss_ce: 0.0313, aux.acc_seg: 96.8691, loss: 0.0858 2023-02-24 22:54:52,610 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 20:42:46, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6940, aux.loss_ce: 0.0316, aux.acc_seg: 96.8460, loss: 0.0880 2023-02-24 22:55:43,120 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 20:41:59, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6633, aux.loss_ce: 0.0320, aux.acc_seg: 96.8205, loss: 0.0887 2023-02-24 22:56:30,720 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 20:41:10, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0573, decode.acc_seg: 97.6375, aux.loss_ce: 0.0324, aux.acc_seg: 96.7635, loss: 0.0897 2023-02-24 22:57:18,428 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 20:40:20, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6210, aux.loss_ce: 0.0326, aux.acc_seg: 96.7589, loss: 0.0911 2023-02-24 22:58:06,325 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 20:39:31, time: 0.958, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6173, aux.loss_ce: 0.0321, aux.acc_seg: 96.7954, loss: 0.0906 2023-02-24 22:58:56,920 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 20:38:44, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0580, decode.acc_seg: 97.6329, aux.loss_ce: 0.0320, aux.acc_seg: 96.8038, loss: 0.0900 2023-02-24 22:59:44,724 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 20:37:55, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7746, aux.loss_ce: 0.0313, aux.acc_seg: 96.8862, loss: 0.0857 2023-02-24 23:00:32,598 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 20:37:06, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.7004, aux.loss_ce: 0.0314, aux.acc_seg: 96.8660, loss: 0.0876 2023-02-24 23:01:20,422 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 20:36:16, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6408, aux.loss_ce: 0.0320, aux.acc_seg: 96.8076, loss: 0.0897 2023-02-24 23:02:10,981 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 20:35:29, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6241, aux.loss_ce: 0.0319, aux.acc_seg: 96.8184, loss: 0.0900 2023-02-24 23:02:58,661 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 20:34:40, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7401, aux.loss_ce: 0.0309, aux.acc_seg: 96.9197, loss: 0.0864 2023-02-24 23:03:46,237 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 20:33:50, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6825, aux.loss_ce: 0.0314, aux.acc_seg: 96.8886, loss: 0.0881 2023-02-24 23:04:36,532 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 20:33:03, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7112, aux.loss_ce: 0.0324, aux.acc_seg: 96.7708, loss: 0.0881 2023-02-24 23:05:24,121 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 20:32:14, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7800, aux.loss_ce: 0.0316, aux.acc_seg: 96.8717, loss: 0.0859 2023-02-24 23:06:11,582 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:06:11,583 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 20:31:24, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6407, aux.loss_ce: 0.0323, aux.acc_seg: 96.8039, loss: 0.0901 2023-02-24 23:06:59,013 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 20:30:35, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6443, aux.loss_ce: 0.0317, aux.acc_seg: 96.8401, loss: 0.0892 2023-02-24 23:07:49,359 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 20:29:47, time: 1.007, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7471, aux.loss_ce: 0.0313, aux.acc_seg: 96.9061, loss: 0.0862 2023-02-24 23:08:36,990 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 20:28:58, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6664, aux.loss_ce: 0.0330, aux.acc_seg: 96.7633, loss: 0.0898 2023-02-24 23:09:25,118 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 20:28:09, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0570, decode.acc_seg: 97.6618, aux.loss_ce: 0.0322, aux.acc_seg: 96.8101, loss: 0.0891 2023-02-24 23:10:13,142 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 20:27:20, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0570, decode.acc_seg: 97.6645, aux.loss_ce: 0.0324, aux.acc_seg: 96.8195, loss: 0.0894 2023-02-24 23:11:04,230 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 20:26:33, time: 1.022, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7853, aux.loss_ce: 0.0308, aux.acc_seg: 96.9206, loss: 0.0850 2023-02-24 23:11:52,348 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 20:25:44, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6769, aux.loss_ce: 0.0305, aux.acc_seg: 96.9434, loss: 0.0869 2023-02-24 23:12:40,339 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 20:24:55, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0591, decode.acc_seg: 97.5831, aux.loss_ce: 0.0327, aux.acc_seg: 96.7485, loss: 0.0918 2023-02-24 23:13:30,715 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 20:24:08, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7170, aux.loss_ce: 0.0318, aux.acc_seg: 96.8291, loss: 0.0874 2023-02-24 23:14:18,357 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 20:23:19, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6906, aux.loss_ce: 0.0322, aux.acc_seg: 96.8134, loss: 0.0892 2023-02-24 23:15:06,640 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 20:22:30, time: 0.966, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5710, aux.loss_ce: 0.0328, aux.acc_seg: 96.7124, loss: 0.0921 2023-02-24 23:15:54,574 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 20:21:41, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7735, aux.loss_ce: 0.0314, aux.acc_seg: 96.8745, loss: 0.0855 2023-02-24 23:16:45,478 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 20:20:54, time: 1.018, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6604, aux.loss_ce: 0.0319, aux.acc_seg: 96.8352, loss: 0.0890 2023-02-24 23:17:33,333 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 20:20:05, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7209, aux.loss_ce: 0.0310, aux.acc_seg: 96.9054, loss: 0.0865 2023-02-24 23:18:21,141 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 20:19:15, time: 0.956, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7338, aux.loss_ce: 0.0308, aux.acc_seg: 96.9136, loss: 0.0860 2023-02-24 23:19:08,712 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 20:18:26, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6343, aux.loss_ce: 0.0316, aux.acc_seg: 96.8567, loss: 0.0897 2023-02-24 23:19:59,235 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 20:17:39, time: 1.010, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0563, decode.acc_seg: 97.6760, aux.loss_ce: 0.0308, aux.acc_seg: 96.9085, loss: 0.0871 2023-02-24 23:20:47,042 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 20:16:50, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6249, aux.loss_ce: 0.0321, aux.acc_seg: 96.7822, loss: 0.0898 2023-02-24 23:21:34,592 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 20:16:00, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6062, aux.loss_ce: 0.0312, aux.acc_seg: 96.8716, loss: 0.0897 2023-02-24 23:22:22,112 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:22:22,113 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 20:15:11, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0572, decode.acc_seg: 97.6538, aux.loss_ce: 0.0314, aux.acc_seg: 96.8744, loss: 0.0886 2023-02-24 23:23:12,448 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 20:14:23, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6623, aux.loss_ce: 0.0311, aux.acc_seg: 96.8776, loss: 0.0879 2023-02-24 23:24:00,406 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 20:13:34, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7284, aux.loss_ce: 0.0315, aux.acc_seg: 96.8504, loss: 0.0870 2023-02-24 23:24:48,057 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 20:12:45, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7301, aux.loss_ce: 0.0314, aux.acc_seg: 96.8731, loss: 0.0869 2023-02-24 23:25:38,806 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 20:11:58, time: 1.015, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0707, decode.acc_seg: 97.2834, aux.loss_ce: 0.0360, aux.acc_seg: 96.5303, loss: 0.1067 2023-02-24 23:26:26,377 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 20:11:09, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0624, decode.acc_seg: 97.4739, aux.loss_ce: 0.0329, aux.acc_seg: 96.7418, loss: 0.0953 2023-02-24 23:27:14,314 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 20:10:19, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0578, decode.acc_seg: 97.6486, aux.loss_ce: 0.0317, aux.acc_seg: 96.8325, loss: 0.0896 2023-02-24 23:28:01,845 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 20:09:30, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0596, decode.acc_seg: 97.5835, aux.loss_ce: 0.0327, aux.acc_seg: 96.7689, loss: 0.0923 2023-02-24 23:28:52,245 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 20:08:43, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0585, decode.acc_seg: 97.6033, aux.loss_ce: 0.0323, aux.acc_seg: 96.7648, loss: 0.0908 2023-02-24 23:29:39,846 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 20:07:53, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0592, decode.acc_seg: 97.5842, aux.loss_ce: 0.0322, aux.acc_seg: 96.7972, loss: 0.0914 2023-02-24 23:30:27,731 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 20:07:04, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0581, decode.acc_seg: 97.6429, aux.loss_ce: 0.0317, aux.acc_seg: 96.8458, loss: 0.0898 2023-02-24 23:31:15,345 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 20:06:15, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7485, aux.loss_ce: 0.0310, aux.acc_seg: 96.9195, loss: 0.0860 2023-02-24 23:32:05,843 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 20:05:28, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.7162, aux.loss_ce: 0.0318, aux.acc_seg: 96.8210, loss: 0.0878 2023-02-24 23:32:53,471 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 20:04:38, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6709, aux.loss_ce: 0.0314, aux.acc_seg: 96.8642, loss: 0.0880 2023-02-24 23:33:41,909 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 20:03:49, time: 0.969, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.8016, aux.loss_ce: 0.0309, aux.acc_seg: 96.9204, loss: 0.0846 2023-02-24 23:34:32,444 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 20:03:02, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0587, decode.acc_seg: 97.6027, aux.loss_ce: 0.0325, aux.acc_seg: 96.7810, loss: 0.0912 2023-02-24 23:35:20,291 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 20:02:13, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0580, decode.acc_seg: 97.6496, aux.loss_ce: 0.0321, aux.acc_seg: 96.8446, loss: 0.0901 2023-02-24 23:36:08,292 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 20:01:24, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0559, decode.acc_seg: 97.6966, aux.loss_ce: 0.0315, aux.acc_seg: 96.8330, loss: 0.0874 2023-02-24 23:36:56,264 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 20:00:35, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0594, decode.acc_seg: 97.5786, aux.loss_ce: 0.0325, aux.acc_seg: 96.7861, loss: 0.0919 2023-02-24 23:37:46,971 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 19:59:48, time: 1.014, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0565, decode.acc_seg: 97.6732, aux.loss_ce: 0.0309, aux.acc_seg: 96.9032, loss: 0.0874 2023-02-24 23:38:34,849 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:38:34,850 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 19:58:59, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6718, aux.loss_ce: 0.0325, aux.acc_seg: 96.7647, loss: 0.0893 2023-02-24 23:39:22,408 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 19:58:09, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0565, decode.acc_seg: 97.6739, aux.loss_ce: 0.0310, aux.acc_seg: 96.8945, loss: 0.0875 2023-02-24 23:40:09,945 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 19:57:20, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6834, aux.loss_ce: 0.0313, aux.acc_seg: 96.8931, loss: 0.0879 2023-02-24 23:41:00,414 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 19:56:33, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.6115, aux.loss_ce: 0.0315, aux.acc_seg: 96.8754, loss: 0.0901 2023-02-24 23:41:47,985 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 19:55:43, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7222, aux.loss_ce: 0.0311, aux.acc_seg: 96.9240, loss: 0.0867 2023-02-24 23:42:35,463 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 19:54:54, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0565, decode.acc_seg: 97.6679, aux.loss_ce: 0.0319, aux.acc_seg: 96.8026, loss: 0.0885 2023-02-24 23:43:23,081 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 19:54:04, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.6856, aux.loss_ce: 0.0307, aux.acc_seg: 96.9377, loss: 0.0869 2023-02-24 23:44:13,791 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 19:53:18, time: 1.014, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6951, aux.loss_ce: 0.0320, aux.acc_seg: 96.8188, loss: 0.0884 2023-02-24 23:45:01,982 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 19:52:29, time: 0.964, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7274, aux.loss_ce: 0.0308, aux.acc_seg: 96.9221, loss: 0.0863 2023-02-24 23:45:49,602 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 19:51:39, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0599, decode.acc_seg: 97.5489, aux.loss_ce: 0.0329, aux.acc_seg: 96.7357, loss: 0.0927 2023-02-24 23:46:40,505 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 19:50:52, time: 1.018, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7291, aux.loss_ce: 0.0312, aux.acc_seg: 96.8577, loss: 0.0861 2023-02-24 23:47:28,220 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 19:50:03, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.6804, aux.loss_ce: 0.0308, aux.acc_seg: 96.9239, loss: 0.0871 2023-02-24 23:48:15,832 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 19:49:14, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0584, decode.acc_seg: 97.6242, aux.loss_ce: 0.0320, aux.acc_seg: 96.8134, loss: 0.0904 2023-02-24 23:49:03,233 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 19:48:24, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6516, aux.loss_ce: 0.0325, aux.acc_seg: 96.7613, loss: 0.0901 2023-02-24 23:49:53,720 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 19:47:37, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7314, aux.loss_ce: 0.0311, aux.acc_seg: 96.9047, loss: 0.0865 2023-02-24 23:50:41,152 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 19:46:47, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6602, aux.loss_ce: 0.0319, aux.acc_seg: 96.8520, loss: 0.0892 2023-02-24 23:51:28,889 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 19:45:58, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7650, aux.loss_ce: 0.0301, aux.acc_seg: 96.9984, loss: 0.0845 2023-02-24 23:52:16,837 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 19:45:09, time: 0.959, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6563, aux.loss_ce: 0.0317, aux.acc_seg: 96.8198, loss: 0.0886 2023-02-24 23:53:07,515 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 19:44:22, time: 1.014, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6570, aux.loss_ce: 0.0322, aux.acc_seg: 96.7862, loss: 0.0893 2023-02-24 23:53:55,505 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 19:43:33, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7042, aux.loss_ce: 0.0304, aux.acc_seg: 96.9409, loss: 0.0863 2023-02-24 23:54:42,994 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:54:42,994 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 19:42:43, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.6962, aux.loss_ce: 0.0303, aux.acc_seg: 96.9580, loss: 0.0863 2023-02-24 23:55:33,484 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 19:41:56, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6720, aux.loss_ce: 0.0314, aux.acc_seg: 96.8483, loss: 0.0883 2023-02-24 23:56:21,013 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 19:41:07, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.7060, aux.loss_ce: 0.0311, aux.acc_seg: 96.9052, loss: 0.0871 2023-02-24 23:57:08,810 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 19:40:18, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7216, aux.loss_ce: 0.0309, aux.acc_seg: 96.9165, loss: 0.0865 2023-02-24 23:57:56,297 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 19:39:28, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.7119, aux.loss_ce: 0.0314, aux.acc_seg: 96.8847, loss: 0.0876 2023-02-24 23:58:46,772 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 19:38:41, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7176, aux.loss_ce: 0.0307, aux.acc_seg: 96.9306, loss: 0.0860 2023-02-24 23:59:34,570 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 19:37:52, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7950, aux.loss_ce: 0.0308, aux.acc_seg: 96.9314, loss: 0.0843 2023-02-25 00:00:22,057 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 19:37:02, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7769, aux.loss_ce: 0.0306, aux.acc_seg: 96.9476, loss: 0.0847 2023-02-25 00:01:09,734 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 19:36:13, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6743, aux.loss_ce: 0.0316, aux.acc_seg: 96.8356, loss: 0.0883 2023-02-25 00:02:00,131 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 19:35:26, time: 1.008, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5819, aux.loss_ce: 0.0324, aux.acc_seg: 96.7858, loss: 0.0917 2023-02-25 00:02:48,165 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 19:34:37, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7400, aux.loss_ce: 0.0310, aux.acc_seg: 96.9073, loss: 0.0864 2023-02-25 00:03:35,862 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 19:33:47, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6639, aux.loss_ce: 0.0322, aux.acc_seg: 96.7741, loss: 0.0890 2023-02-25 00:04:23,474 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 19:32:58, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6590, aux.loss_ce: 0.0315, aux.acc_seg: 96.8347, loss: 0.0882 2023-02-25 00:05:13,945 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 19:32:11, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.7177, aux.loss_ce: 0.0310, aux.acc_seg: 96.9275, loss: 0.0872 2023-02-25 00:06:01,541 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 19:31:21, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7825, aux.loss_ce: 0.0305, aux.acc_seg: 96.9456, loss: 0.0845 2023-02-25 00:06:49,102 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 19:30:32, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6531, aux.loss_ce: 0.0320, aux.acc_seg: 96.8014, loss: 0.0889 2023-02-25 00:07:39,491 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 19:29:45, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.6908, aux.loss_ce: 0.0309, aux.acc_seg: 96.9244, loss: 0.0870 2023-02-25 00:08:27,756 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 19:28:56, time: 0.965, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6530, aux.loss_ce: 0.0318, aux.acc_seg: 96.8138, loss: 0.0893 2023-02-25 00:09:15,524 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 19:28:07, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7222, aux.loss_ce: 0.0314, aux.acc_seg: 96.8819, loss: 0.0868 2023-02-25 00:10:02,996 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 19:27:17, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7206, aux.loss_ce: 0.0320, aux.acc_seg: 96.7927, loss: 0.0872 2023-02-25 00:10:53,508 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:10:53,508 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 19:26:30, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0584, decode.acc_seg: 97.5990, aux.loss_ce: 0.0325, aux.acc_seg: 96.7524, loss: 0.0909 2023-02-25 00:11:41,808 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 19:25:41, time: 0.966, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7770, aux.loss_ce: 0.0304, aux.acc_seg: 96.9702, loss: 0.0846 2023-02-25 00:12:29,780 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 19:24:52, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7210, aux.loss_ce: 0.0309, aux.acc_seg: 96.9095, loss: 0.0867 2023-02-25 00:13:17,659 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 19:24:03, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7387, aux.loss_ce: 0.0308, aux.acc_seg: 96.9302, loss: 0.0859 2023-02-25 00:14:08,005 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 19:23:16, time: 1.007, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7680, aux.loss_ce: 0.0306, aux.acc_seg: 96.9350, loss: 0.0847 2023-02-25 00:14:55,750 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 19:22:26, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7399, aux.loss_ce: 0.0312, aux.acc_seg: 96.8829, loss: 0.0864 2023-02-25 00:15:43,698 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 19:21:37, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6963, aux.loss_ce: 0.0309, aux.acc_seg: 96.9184, loss: 0.0872 2023-02-25 00:16:31,543 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 19:20:48, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6742, aux.loss_ce: 0.0317, aux.acc_seg: 96.8440, loss: 0.0885 2023-02-25 00:17:22,188 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 19:20:01, time: 1.013, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7509, aux.loss_ce: 0.0313, aux.acc_seg: 96.8835, loss: 0.0863 2023-02-25 00:18:09,578 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 19:19:11, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6401, aux.loss_ce: 0.0313, aux.acc_seg: 96.8821, loss: 0.0889 2023-02-25 00:18:57,465 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 19:18:22, time: 0.958, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6679, aux.loss_ce: 0.0307, aux.acc_seg: 96.9383, loss: 0.0876 2023-02-25 00:19:47,598 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 19:17:35, time: 1.003, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7276, aux.loss_ce: 0.0319, aux.acc_seg: 96.8375, loss: 0.0870 2023-02-25 00:20:35,716 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 19:16:46, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0572, decode.acc_seg: 97.6607, aux.loss_ce: 0.0318, aux.acc_seg: 96.8243, loss: 0.0890 2023-02-25 00:21:23,545 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 19:15:57, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7821, aux.loss_ce: 0.0303, aux.acc_seg: 96.9861, loss: 0.0847 2023-02-25 00:22:11,538 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 19:15:08, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0572, decode.acc_seg: 97.6459, aux.loss_ce: 0.0323, aux.acc_seg: 96.7728, loss: 0.0895 2023-02-25 00:23:02,169 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 19:14:21, time: 1.013, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7162, aux.loss_ce: 0.0323, aux.acc_seg: 96.7828, loss: 0.0879 2023-02-25 00:23:49,624 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 19:13:31, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6721, aux.loss_ce: 0.0313, aux.acc_seg: 96.9092, loss: 0.0889 2023-02-25 00:24:37,562 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 19:12:42, time: 0.959, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.6968, aux.loss_ce: 0.0311, aux.acc_seg: 96.8822, loss: 0.0869 2023-02-25 00:25:25,254 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 19:11:53, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.6106, aux.loss_ce: 0.0336, aux.acc_seg: 96.6730, loss: 0.0922 2023-02-25 00:26:15,653 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 19:11:05, time: 1.008, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7431, aux.loss_ce: 0.0317, aux.acc_seg: 96.8339, loss: 0.0866 2023-02-25 00:27:03,454 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:27:03,454 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 19:10:16, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0576, decode.acc_seg: 97.6270, aux.loss_ce: 0.0305, aux.acc_seg: 96.9398, loss: 0.0880 2023-02-25 00:27:51,006 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 19:09:27, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.7053, aux.loss_ce: 0.0316, aux.acc_seg: 96.8374, loss: 0.0878 2023-02-25 00:28:41,503 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 19:08:40, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7388, aux.loss_ce: 0.0311, aux.acc_seg: 96.9160, loss: 0.0866 2023-02-25 00:29:29,453 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 19:07:51, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7077, aux.loss_ce: 0.0313, aux.acc_seg: 96.8716, loss: 0.0869 2023-02-25 00:30:16,845 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 19:07:01, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7735, aux.loss_ce: 0.0308, aux.acc_seg: 96.9175, loss: 0.0851 2023-02-25 00:31:04,378 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 19:06:11, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7607, aux.loss_ce: 0.0316, aux.acc_seg: 96.8741, loss: 0.0866 2023-02-25 00:31:54,814 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 19:05:24, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7223, aux.loss_ce: 0.0307, aux.acc_seg: 96.9428, loss: 0.0864 2023-02-25 00:32:42,843 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 19:04:35, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.8062, aux.loss_ce: 0.0300, aux.acc_seg: 96.9971, loss: 0.0833 2023-02-25 00:33:30,808 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 19:03:46, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7143, aux.loss_ce: 0.0300, aux.acc_seg: 96.9850, loss: 0.0855 2023-02-25 00:34:18,535 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 19:02:57, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6705, aux.loss_ce: 0.0318, aux.acc_seg: 96.8546, loss: 0.0889 2023-02-25 00:35:09,052 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 19:02:10, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7686, aux.loss_ce: 0.0311, aux.acc_seg: 96.9297, loss: 0.0856 2023-02-25 00:35:56,625 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 19:01:20, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6816, aux.loss_ce: 0.0307, aux.acc_seg: 96.9481, loss: 0.0875 2023-02-25 00:36:44,656 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 19:00:31, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6225, aux.loss_ce: 0.0323, aux.acc_seg: 96.7755, loss: 0.0902 2023-02-25 00:37:33,076 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 18:59:43, time: 0.968, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7446, aux.loss_ce: 0.0305, aux.acc_seg: 96.9407, loss: 0.0853 2023-02-25 00:38:23,777 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 18:58:56, time: 1.014, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0559, decode.acc_seg: 97.7175, aux.loss_ce: 0.0313, aux.acc_seg: 96.9205, loss: 0.0871 2023-02-25 00:39:11,712 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 18:58:06, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0547, decode.acc_seg: 97.7531, aux.loss_ce: 0.0318, aux.acc_seg: 96.8346, loss: 0.0865 2023-02-25 00:39:59,397 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 18:57:17, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6536, aux.loss_ce: 0.0314, aux.acc_seg: 96.8444, loss: 0.0885 2023-02-25 00:40:49,869 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 18:56:30, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0582, decode.acc_seg: 97.6173, aux.loss_ce: 0.0316, aux.acc_seg: 96.8312, loss: 0.0898 2023-02-25 00:41:37,885 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 18:55:41, time: 0.960, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7338, aux.loss_ce: 0.0316, aux.acc_seg: 96.8718, loss: 0.0870 2023-02-25 00:42:25,612 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 18:54:52, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7274, aux.loss_ce: 0.0317, aux.acc_seg: 96.8470, loss: 0.0869 2023-02-25 00:43:13,274 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:43:13,275 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 18:54:02, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8091, aux.loss_ce: 0.0305, aux.acc_seg: 96.9513, loss: 0.0836 2023-02-25 00:44:03,607 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 18:53:15, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0622, decode.acc_seg: 97.5003, aux.loss_ce: 0.0329, aux.acc_seg: 96.7225, loss: 0.0950 2023-02-25 00:44:51,514 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 18:52:26, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0572, decode.acc_seg: 97.6604, aux.loss_ce: 0.0322, aux.acc_seg: 96.7888, loss: 0.0895 2023-02-25 00:45:39,187 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 18:51:37, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.7059, aux.loss_ce: 0.0318, aux.acc_seg: 96.8548, loss: 0.0879 2023-02-25 00:46:26,692 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 18:50:47, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7421, aux.loss_ce: 0.0309, aux.acc_seg: 96.9173, loss: 0.0860 2023-02-25 00:47:17,446 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 18:50:00, time: 1.015, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7834, aux.loss_ce: 0.0306, aux.acc_seg: 96.9436, loss: 0.0847 2023-02-25 00:48:05,184 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 18:49:11, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7375, aux.loss_ce: 0.0308, aux.acc_seg: 96.9148, loss: 0.0861 2023-02-25 00:48:53,087 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 18:48:22, time: 0.958, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8242, aux.loss_ce: 0.0299, aux.acc_seg: 97.0180, loss: 0.0828 2023-02-25 00:49:44,465 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 18:47:35, time: 1.028, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7313, aux.loss_ce: 0.0303, aux.acc_seg: 96.9537, loss: 0.0853 2023-02-25 00:50:32,256 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 18:46:46, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0647, decode.acc_seg: 97.5581, aux.loss_ce: 0.0328, aux.acc_seg: 96.8032, loss: 0.0975 2023-02-25 00:51:20,348 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 18:45:57, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0611, decode.acc_seg: 97.5187, aux.loss_ce: 0.0325, aux.acc_seg: 96.7844, loss: 0.0936 2023-02-25 00:52:08,328 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 18:45:08, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6711, aux.loss_ce: 0.0314, aux.acc_seg: 96.8693, loss: 0.0882 2023-02-25 00:52:58,636 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 18:44:21, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.7892, aux.loss_ce: 0.0296, aux.acc_seg: 97.0171, loss: 0.0832 2023-02-25 00:53:46,063 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 18:43:31, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0610, decode.acc_seg: 97.5039, aux.loss_ce: 0.0331, aux.acc_seg: 96.7239, loss: 0.0941 2023-02-25 00:54:33,885 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 18:42:42, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0619, decode.acc_seg: 97.4874, aux.loss_ce: 0.0332, aux.acc_seg: 96.7027, loss: 0.0951 2023-02-25 00:55:22,135 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 18:41:53, time: 0.965, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7472, aux.loss_ce: 0.0311, aux.acc_seg: 96.8880, loss: 0.0859 2023-02-25 00:56:12,590 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 18:41:06, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7361, aux.loss_ce: 0.0311, aux.acc_seg: 96.8969, loss: 0.0863 2023-02-25 00:57:00,465 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 18:40:17, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7420, aux.loss_ce: 0.0316, aux.acc_seg: 96.8490, loss: 0.0868 2023-02-25 00:57:48,375 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 18:39:28, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6687, aux.loss_ce: 0.0314, aux.acc_seg: 96.8635, loss: 0.0883 2023-02-25 00:58:36,515 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 18:38:39, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7232, aux.loss_ce: 0.0313, aux.acc_seg: 96.8716, loss: 0.0867 2023-02-25 00:59:27,128 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:59:27,128 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 18:37:52, time: 1.012, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8613, aux.loss_ce: 0.0299, aux.acc_seg: 97.0328, loss: 0.0822 2023-02-25 01:00:14,684 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 18:37:02, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7116, aux.loss_ce: 0.0311, aux.acc_seg: 96.8789, loss: 0.0868 2023-02-25 01:01:02,496 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 18:36:13, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7707, aux.loss_ce: 0.0312, aux.acc_seg: 96.8914, loss: 0.0858 2023-02-25 01:01:53,113 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 18:35:26, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0566, decode.acc_seg: 97.6816, aux.loss_ce: 0.0314, aux.acc_seg: 96.8411, loss: 0.0880 2023-02-25 01:02:40,889 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 18:34:37, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7420, aux.loss_ce: 0.0311, aux.acc_seg: 96.9032, loss: 0.0861 2023-02-25 01:03:28,410 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 18:33:47, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7068, aux.loss_ce: 0.0313, aux.acc_seg: 96.8729, loss: 0.0871 2023-02-25 01:04:16,025 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 18:32:58, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7545, aux.loss_ce: 0.0311, aux.acc_seg: 96.8760, loss: 0.0857 2023-02-25 01:05:06,539 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 18:32:11, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.6937, aux.loss_ce: 0.0305, aux.acc_seg: 96.9439, loss: 0.0865 2023-02-25 01:05:54,056 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 18:31:21, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7285, aux.loss_ce: 0.0303, aux.acc_seg: 96.9699, loss: 0.0857 2023-02-25 01:06:41,540 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 18:30:32, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.6890, aux.loss_ce: 0.0316, aux.acc_seg: 96.8334, loss: 0.0876 2023-02-25 01:07:29,038 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 18:29:43, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7955, aux.loss_ce: 0.0304, aux.acc_seg: 96.9617, loss: 0.0843 2023-02-25 01:08:19,770 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 18:28:56, time: 1.014, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7842, aux.loss_ce: 0.0300, aux.acc_seg: 96.9968, loss: 0.0839 2023-02-25 01:09:07,244 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 18:28:06, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7295, aux.loss_ce: 0.0300, aux.acc_seg: 96.9789, loss: 0.0848 2023-02-25 01:09:54,684 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 18:27:17, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7630, aux.loss_ce: 0.0311, aux.acc_seg: 96.8902, loss: 0.0854 2023-02-25 01:10:45,095 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 18:26:29, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7217, aux.loss_ce: 0.0320, aux.acc_seg: 96.8235, loss: 0.0877 2023-02-25 01:11:32,651 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 18:25:40, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.7734, aux.loss_ce: 0.0309, aux.acc_seg: 96.8973, loss: 0.0846 2023-02-25 01:12:20,108 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 18:24:51, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6564, aux.loss_ce: 0.0309, aux.acc_seg: 96.9477, loss: 0.0883 2023-02-25 01:13:07,865 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 18:24:01, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.6844, aux.loss_ce: 0.0313, aux.acc_seg: 96.8623, loss: 0.0874 2023-02-25 01:13:58,996 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 18:23:15, time: 1.023, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.7951, aux.loss_ce: 0.0302, aux.acc_seg: 96.9770, loss: 0.0839 2023-02-25 01:14:47,128 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 18:22:26, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6586, aux.loss_ce: 0.0316, aux.acc_seg: 96.8585, loss: 0.0893 2023-02-25 01:15:34,710 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:15:34,710 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 18:21:36, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5777, aux.loss_ce: 0.0328, aux.acc_seg: 96.7428, loss: 0.0921 2023-02-25 01:16:22,812 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 18:20:47, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0586, decode.acc_seg: 97.5862, aux.loss_ce: 0.0316, aux.acc_seg: 96.8457, loss: 0.0902 2023-02-25 01:17:12,992 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 18:20:00, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7290, aux.loss_ce: 0.0305, aux.acc_seg: 96.9539, loss: 0.0859 2023-02-25 01:18:00,463 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 18:19:10, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7873, aux.loss_ce: 0.0304, aux.acc_seg: 96.9798, loss: 0.0845 2023-02-25 01:18:48,886 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 18:18:22, time: 0.968, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0574, decode.acc_seg: 97.6405, aux.loss_ce: 0.0315, aux.acc_seg: 96.8433, loss: 0.0890 2023-02-25 01:19:36,976 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 18:17:33, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7795, aux.loss_ce: 0.0308, aux.acc_seg: 96.9353, loss: 0.0853 2023-02-25 01:20:27,963 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 18:16:46, time: 1.020, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7322, aux.loss_ce: 0.0313, aux.acc_seg: 96.8392, loss: 0.0859 2023-02-25 01:21:15,500 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 18:15:57, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7603, aux.loss_ce: 0.0311, aux.acc_seg: 96.8838, loss: 0.0857 2023-02-25 01:22:03,628 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 18:15:08, time: 0.963, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7069, aux.loss_ce: 0.0312, aux.acc_seg: 96.8626, loss: 0.0869 2023-02-25 01:22:54,481 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 18:14:21, time: 1.017, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8377, aux.loss_ce: 0.0308, aux.acc_seg: 96.9230, loss: 0.0838 2023-02-25 01:23:41,932 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 18:13:31, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7677, aux.loss_ce: 0.0315, aux.acc_seg: 96.8575, loss: 0.0862 2023-02-25 01:24:29,686 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 18:12:42, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.6709, aux.loss_ce: 0.0307, aux.acc_seg: 96.9165, loss: 0.0869 2023-02-25 01:25:17,365 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 18:11:53, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7826, aux.loss_ce: 0.0308, aux.acc_seg: 96.9364, loss: 0.0850 2023-02-25 01:26:07,937 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 18:11:06, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7849, aux.loss_ce: 0.0309, aux.acc_seg: 96.9341, loss: 0.0850 2023-02-25 01:26:55,560 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 18:10:16, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7334, aux.loss_ce: 0.0313, aux.acc_seg: 96.8683, loss: 0.0865 2023-02-25 01:27:43,149 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 18:09:27, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8374, aux.loss_ce: 0.0304, aux.acc_seg: 96.9620, loss: 0.0832 2023-02-25 01:28:30,623 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 18:08:37, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8024, aux.loss_ce: 0.0297, aux.acc_seg: 97.0060, loss: 0.0828 2023-02-25 01:29:21,635 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 18:07:51, time: 1.020, data_time: 0.081, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7562, aux.loss_ce: 0.0301, aux.acc_seg: 96.9736, loss: 0.0842 2023-02-25 01:30:09,291 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 18:07:01, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.8031, aux.loss_ce: 0.0305, aux.acc_seg: 96.9685, loss: 0.0842 2023-02-25 01:30:56,969 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 18:06:12, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0572, decode.acc_seg: 97.6551, aux.loss_ce: 0.0324, aux.acc_seg: 96.7869, loss: 0.0895 2023-02-25 01:31:44,337 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:31:44,337 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 18:05:23, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0583, decode.acc_seg: 97.6126, aux.loss_ce: 0.0314, aux.acc_seg: 96.8526, loss: 0.0897 2023-02-25 01:32:34,846 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 18:04:35, time: 1.010, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7304, aux.loss_ce: 0.0312, aux.acc_seg: 96.9090, loss: 0.0867 2023-02-25 01:33:22,568 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 18:03:46, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0577, decode.acc_seg: 97.6472, aux.loss_ce: 0.0324, aux.acc_seg: 96.7591, loss: 0.0901 2023-02-25 01:34:09,962 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 18:02:57, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7104, aux.loss_ce: 0.0308, aux.acc_seg: 96.9162, loss: 0.0863 2023-02-25 01:35:00,709 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 18:02:10, time: 1.015, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7746, aux.loss_ce: 0.0305, aux.acc_seg: 96.9571, loss: 0.0846 2023-02-25 01:35:48,962 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 18:01:21, time: 0.965, data_time: 0.025, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6367, aux.loss_ce: 0.0310, aux.acc_seg: 96.8896, loss: 0.0881 2023-02-25 01:36:37,155 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 18:00:32, time: 0.964, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7390, aux.loss_ce: 0.0309, aux.acc_seg: 96.9245, loss: 0.0860 2023-02-25 01:37:24,986 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 17:59:43, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0566, decode.acc_seg: 97.6830, aux.loss_ce: 0.0309, aux.acc_seg: 96.9049, loss: 0.0875 2023-02-25 01:38:15,322 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 17:58:55, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7948, aux.loss_ce: 0.0315, aux.acc_seg: 96.8664, loss: 0.0850 2023-02-25 01:39:03,011 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 17:58:06, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.7887, aux.loss_ce: 0.0307, aux.acc_seg: 96.9321, loss: 0.0844 2023-02-25 01:39:50,718 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 17:57:17, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7568, aux.loss_ce: 0.0308, aux.acc_seg: 96.9228, loss: 0.0854 2023-02-25 01:40:38,182 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 17:56:27, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7238, aux.loss_ce: 0.0302, aux.acc_seg: 96.9679, loss: 0.0855 2023-02-25 01:41:28,819 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 17:55:40, time: 1.013, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8491, aux.loss_ce: 0.0298, aux.acc_seg: 97.0046, loss: 0.0818 2023-02-25 01:42:16,381 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 17:54:51, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0573, decode.acc_seg: 97.6307, aux.loss_ce: 0.0316, aux.acc_seg: 96.8255, loss: 0.0889 2023-02-25 01:43:04,167 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 17:54:02, time: 0.956, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0562, decode.acc_seg: 97.6866, aux.loss_ce: 0.0310, aux.acc_seg: 96.9118, loss: 0.0872 2023-02-25 01:43:54,376 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 17:53:14, time: 1.004, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7756, aux.loss_ce: 0.0303, aux.acc_seg: 96.9525, loss: 0.0842 2023-02-25 01:44:41,820 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 17:52:25, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0566, decode.acc_seg: 97.6836, aux.loss_ce: 0.0315, aux.acc_seg: 96.8592, loss: 0.0881 2023-02-25 01:45:29,479 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 17:51:36, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7707, aux.loss_ce: 0.0304, aux.acc_seg: 96.9634, loss: 0.0851 2023-02-25 01:46:17,689 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 17:50:47, time: 0.964, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7605, aux.loss_ce: 0.0311, aux.acc_seg: 96.8971, loss: 0.0861 2023-02-25 01:47:08,289 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 17:50:00, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0588, decode.acc_seg: 97.5776, aux.loss_ce: 0.0330, aux.acc_seg: 96.7187, loss: 0.0918 2023-02-25 01:47:56,051 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:47:56,051 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 17:49:10, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7136, aux.loss_ce: 0.0308, aux.acc_seg: 96.9271, loss: 0.0866 2023-02-25 01:48:44,570 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 17:48:22, time: 0.970, data_time: 0.027, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7582, aux.loss_ce: 0.0305, aux.acc_seg: 96.9397, loss: 0.0850 2023-02-25 01:49:32,078 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 17:47:32, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8889, aux.loss_ce: 0.0297, aux.acc_seg: 97.0119, loss: 0.0807 2023-02-25 01:50:22,849 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 17:46:45, time: 1.015, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7439, aux.loss_ce: 0.0301, aux.acc_seg: 96.9763, loss: 0.0846 2023-02-25 01:51:10,225 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 17:45:56, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7507, aux.loss_ce: 0.0297, aux.acc_seg: 97.0318, loss: 0.0847 2023-02-25 01:51:57,963 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 17:45:07, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7756, aux.loss_ce: 0.0300, aux.acc_seg: 96.9918, loss: 0.0842 2023-02-25 01:52:45,332 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 17:44:17, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.6925, aux.loss_ce: 0.0311, aux.acc_seg: 96.8979, loss: 0.0871 2023-02-25 01:53:35,603 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 17:43:30, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7472, aux.loss_ce: 0.0304, aux.acc_seg: 96.9556, loss: 0.0847 2023-02-25 01:54:23,007 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 17:42:40, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7024, aux.loss_ce: 0.0308, aux.acc_seg: 96.9328, loss: 0.0864 2023-02-25 01:55:10,846 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 17:41:51, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7364, aux.loss_ce: 0.0299, aux.acc_seg: 96.9929, loss: 0.0847 2023-02-25 01:56:01,210 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 17:41:04, time: 1.007, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8151, aux.loss_ce: 0.0305, aux.acc_seg: 96.9339, loss: 0.0835 2023-02-25 01:56:49,468 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 17:40:15, time: 0.965, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7502, aux.loss_ce: 0.0305, aux.acc_seg: 96.9352, loss: 0.0850 2023-02-25 01:57:37,091 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 17:39:26, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8185, aux.loss_ce: 0.0300, aux.acc_seg: 96.9565, loss: 0.0828 2023-02-25 01:58:25,017 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 17:38:37, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.7010, aux.loss_ce: 0.0309, aux.acc_seg: 96.9115, loss: 0.0869 2023-02-25 01:59:15,816 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 17:37:50, time: 1.016, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9221, aux.loss_ce: 0.0292, aux.acc_seg: 97.0805, loss: 0.0799 2023-02-25 02:00:03,529 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 17:37:00, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7626, aux.loss_ce: 0.0307, aux.acc_seg: 96.9242, loss: 0.0852 2023-02-25 02:00:51,347 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 17:36:11, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.8078, aux.loss_ce: 0.0301, aux.acc_seg: 97.0063, loss: 0.0834 2023-02-25 02:01:39,616 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 17:35:22, time: 0.965, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7525, aux.loss_ce: 0.0313, aux.acc_seg: 96.8790, loss: 0.0862 2023-02-25 02:02:31,147 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 17:34:36, time: 1.031, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7769, aux.loss_ce: 0.0298, aux.acc_seg: 97.0063, loss: 0.0838 2023-02-25 02:03:18,639 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 17:33:46, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7586, aux.loss_ce: 0.0296, aux.acc_seg: 97.0613, loss: 0.0844 2023-02-25 02:04:06,256 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:04:06,256 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 17:32:57, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.8020, aux.loss_ce: 0.0301, aux.acc_seg: 96.9771, loss: 0.0835 2023-02-25 02:04:57,410 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 17:32:10, time: 1.023, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7046, aux.loss_ce: 0.0314, aux.acc_seg: 96.8640, loss: 0.0871 2023-02-25 02:05:44,816 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 17:31:21, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7467, aux.loss_ce: 0.0303, aux.acc_seg: 96.9500, loss: 0.0848 2023-02-25 02:06:32,632 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 17:30:32, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7473, aux.loss_ce: 0.0309, aux.acc_seg: 96.9409, loss: 0.0857 2023-02-25 02:07:20,523 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 17:29:43, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7169, aux.loss_ce: 0.0311, aux.acc_seg: 96.9016, loss: 0.0865 2023-02-25 02:08:10,874 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 17:28:55, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7111, aux.loss_ce: 0.0307, aux.acc_seg: 96.9257, loss: 0.0864 2023-02-25 02:08:58,930 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 17:28:06, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0563, decode.acc_seg: 97.6983, aux.loss_ce: 0.0306, aux.acc_seg: 96.9585, loss: 0.0869 2023-02-25 02:09:46,550 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 17:27:17, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8079, aux.loss_ce: 0.0302, aux.acc_seg: 96.9860, loss: 0.0833 2023-02-25 02:10:35,134 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 17:26:28, time: 0.972, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0559, decode.acc_seg: 97.7108, aux.loss_ce: 0.0304, aux.acc_seg: 96.9564, loss: 0.0863 2023-02-25 02:11:25,459 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 17:25:41, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7448, aux.loss_ce: 0.0307, aux.acc_seg: 96.8928, loss: 0.0853 2023-02-25 02:12:13,096 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 17:24:52, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7173, aux.loss_ce: 0.0304, aux.acc_seg: 96.9576, loss: 0.0860 2023-02-25 02:13:00,631 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 17:24:02, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7582, aux.loss_ce: 0.0300, aux.acc_seg: 96.9775, loss: 0.0843 2023-02-25 02:13:48,241 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 17:23:13, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7370, aux.loss_ce: 0.0312, aux.acc_seg: 96.8936, loss: 0.0866 2023-02-25 02:14:38,754 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 17:22:26, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7770, aux.loss_ce: 0.0300, aux.acc_seg: 97.0083, loss: 0.0842 2023-02-25 02:15:26,395 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 17:21:37, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7975, aux.loss_ce: 0.0298, aux.acc_seg: 97.0211, loss: 0.0834 2023-02-25 02:16:14,644 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 17:20:48, time: 0.965, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7455, aux.loss_ce: 0.0303, aux.acc_seg: 96.9582, loss: 0.0848 2023-02-25 02:17:05,597 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 17:20:01, time: 1.019, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7871, aux.loss_ce: 0.0299, aux.acc_seg: 97.0176, loss: 0.0839 2023-02-25 02:17:53,380 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 17:19:12, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7709, aux.loss_ce: 0.0307, aux.acc_seg: 96.9265, loss: 0.0847 2023-02-25 02:18:41,025 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 17:18:22, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0547, decode.acc_seg: 97.7532, aux.loss_ce: 0.0310, aux.acc_seg: 96.9142, loss: 0.0857 2023-02-25 02:19:28,630 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 17:17:33, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7061, aux.loss_ce: 0.0302, aux.acc_seg: 96.9637, loss: 0.0858 2023-02-25 02:20:18,995 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-02-25 02:20:21,007 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:20:21,010 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 17:16:47, time: 1.048, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7782, aux.loss_ce: 0.0312, aux.acc_seg: 96.8821, loss: 0.0854 2023-02-25 02:21:19,785 - mmseg - INFO - per class results: 2023-02-25 02:21:19,791 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.53 | 99.3 | | sidewalk | 87.75 | 92.92 | | building | 93.35 | 97.36 | | wall | 60.53 | 67.51 | | fence | 65.76 | 70.39 | | pole | 71.16 | 82.81 | | traffic light | 75.35 | 86.13 | | traffic sign | 83.79 | 89.73 | | vegetation | 93.28 | 96.84 | | terrain | 68.47 | 75.67 | | sky | 95.49 | 97.82 | | person | 84.8 | 93.62 | | rider | 65.6 | 73.45 | | car | 95.76 | 98.44 | | truck | 79.64 | 81.91 | | bus | 92.63 | 94.39 | | train | 86.07 | 87.97 | | motorcycle | 72.48 | 81.1 | | bicycle | 81.39 | 90.68 | +---------------+-------+-------+ 2023-02-25 02:21:19,791 - mmseg - INFO - Summary: 2023-02-25 02:21:19,791 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.71 | 81.68 | 87.26 | +-------+-------+-------+ 2023-02-25 02:21:19,792 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:21:19,792 - mmseg - INFO - Iter(val) [125] aAcc: 0.9671, mIoU: 0.8168, mAcc: 0.8726, IoU.road: 0.9853, IoU.sidewalk: 0.8775, IoU.building: 0.9335, IoU.wall: 0.6053, IoU.fence: 0.6576, IoU.pole: 0.7116, IoU.traffic light: 0.7535, IoU.traffic sign: 0.8379, IoU.vegetation: 0.9328, IoU.terrain: 0.6847, IoU.sky: 0.9549, IoU.person: 0.8480, IoU.rider: 0.6560, IoU.car: 0.9576, IoU.truck: 0.7964, IoU.bus: 0.9263, IoU.train: 0.8607, IoU.motorcycle: 0.7248, IoU.bicycle: 0.8139, Acc.road: 0.9930, Acc.sidewalk: 0.9292, Acc.building: 0.9736, Acc.wall: 0.6751, Acc.fence: 0.7039, Acc.pole: 0.8281, Acc.traffic light: 0.8613, Acc.traffic sign: 0.8973, Acc.vegetation: 0.9684, Acc.terrain: 0.7567, Acc.sky: 0.9782, Acc.person: 0.9362, Acc.rider: 0.7345, Acc.car: 0.9844, Acc.truck: 0.8191, Acc.bus: 0.9439, Acc.train: 0.8797, Acc.motorcycle: 0.8110, Acc.bicycle: 0.9068 2023-02-25 02:22:07,474 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 17:16:37, time: 2.129, data_time: 1.185, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7147, aux.loss_ce: 0.0302, aux.acc_seg: 96.9599, loss: 0.0855 2023-02-25 02:22:55,264 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 17:15:48, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7331, aux.loss_ce: 0.0313, aux.acc_seg: 96.8481, loss: 0.0864 2023-02-25 02:23:42,801 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 17:14:58, time: 0.951, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8125, aux.loss_ce: 0.0305, aux.acc_seg: 96.9410, loss: 0.0834 2023-02-25 02:24:34,040 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 17:14:12, time: 1.025, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7681, aux.loss_ce: 0.0301, aux.acc_seg: 96.9947, loss: 0.0846 2023-02-25 02:25:21,577 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 17:13:22, time: 0.951, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7727, aux.loss_ce: 0.0299, aux.acc_seg: 97.0049, loss: 0.0841 2023-02-25 02:26:09,715 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 17:12:33, time: 0.963, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8547, aux.loss_ce: 0.0298, aux.acc_seg: 97.0059, loss: 0.0821 2023-02-25 02:27:00,203 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 17:11:46, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8022, aux.loss_ce: 0.0300, aux.acc_seg: 96.9840, loss: 0.0832 2023-02-25 02:27:47,594 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 17:10:56, time: 0.948, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0568, decode.acc_seg: 97.6566, aux.loss_ce: 0.0310, aux.acc_seg: 96.8925, loss: 0.0878 2023-02-25 02:28:35,395 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 17:10:07, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8002, aux.loss_ce: 0.0302, aux.acc_seg: 96.9704, loss: 0.0831 2023-02-25 02:29:22,888 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 17:09:18, time: 0.950, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7401, aux.loss_ce: 0.0301, aux.acc_seg: 96.9916, loss: 0.0849 2023-02-25 02:30:13,268 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 17:08:30, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.8087, aux.loss_ce: 0.0296, aux.acc_seg: 97.0234, loss: 0.0831 2023-02-25 02:31:00,679 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 17:07:41, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7558, aux.loss_ce: 0.0292, aux.acc_seg: 97.0804, loss: 0.0838 2023-02-25 02:31:48,282 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 17:06:52, time: 0.952, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7551, aux.loss_ce: 0.0305, aux.acc_seg: 96.9674, loss: 0.0853 2023-02-25 02:32:35,777 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 17:06:02, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7294, aux.loss_ce: 0.0313, aux.acc_seg: 96.8831, loss: 0.0863 2023-02-25 02:33:26,689 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 17:05:15, time: 1.018, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7419, aux.loss_ce: 0.0320, aux.acc_seg: 96.8106, loss: 0.0871 2023-02-25 02:34:14,905 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 17:04:26, time: 0.964, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8015, aux.loss_ce: 0.0297, aux.acc_seg: 97.0189, loss: 0.0828 2023-02-25 02:35:02,849 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 17:03:37, time: 0.959, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7850, aux.loss_ce: 0.0302, aux.acc_seg: 96.9890, loss: 0.0841 2023-02-25 02:35:50,801 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 17:02:48, time: 0.959, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0569, decode.acc_seg: 97.6800, aux.loss_ce: 0.0307, aux.acc_seg: 96.9477, loss: 0.0876 2023-02-25 02:36:41,274 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 17:02:01, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0552, decode.acc_seg: 97.7355, aux.loss_ce: 0.0304, aux.acc_seg: 96.9383, loss: 0.0856 2023-02-25 02:37:29,158 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:37:29,159 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 17:01:12, time: 0.958, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0555, decode.acc_seg: 97.7292, aux.loss_ce: 0.0307, aux.acc_seg: 96.9385, loss: 0.0862 2023-02-25 02:38:16,503 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 17:00:22, time: 0.947, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8460, aux.loss_ce: 0.0290, aux.acc_seg: 97.0722, loss: 0.0811 2023-02-25 02:39:06,680 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 16:59:34, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7587, aux.loss_ce: 0.0305, aux.acc_seg: 96.9609, loss: 0.0857 2023-02-25 02:39:54,717 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 16:58:45, time: 0.961, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8132, aux.loss_ce: 0.0300, aux.acc_seg: 97.0050, loss: 0.0829 2023-02-25 02:40:42,137 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 16:57:56, time: 0.948, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7816, aux.loss_ce: 0.0301, aux.acc_seg: 96.9963, loss: 0.0838 2023-02-25 02:41:29,916 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 16:57:07, time: 0.956, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.7129, aux.loss_ce: 0.0305, aux.acc_seg: 96.9681, loss: 0.0864 2023-02-25 02:42:20,346 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 16:56:19, time: 1.008, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6773, aux.loss_ce: 0.0312, aux.acc_seg: 96.8719, loss: 0.0876 2023-02-25 02:43:08,050 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 16:55:30, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7661, aux.loss_ce: 0.0299, aux.acc_seg: 96.9906, loss: 0.0838 2023-02-25 02:43:55,782 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 16:54:41, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7927, aux.loss_ce: 0.0301, aux.acc_seg: 96.9751, loss: 0.0836 2023-02-25 02:44:43,494 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 16:53:52, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7392, aux.loss_ce: 0.0302, aux.acc_seg: 96.9740, loss: 0.0851 2023-02-25 02:45:33,782 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 16:53:04, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7646, aux.loss_ce: 0.0309, aux.acc_seg: 96.9291, loss: 0.0853 2023-02-25 02:46:21,614 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 16:52:15, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0563, decode.acc_seg: 97.6884, aux.loss_ce: 0.0305, aux.acc_seg: 96.9340, loss: 0.0869 2023-02-25 02:47:09,070 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 16:51:26, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7323, aux.loss_ce: 0.0304, aux.acc_seg: 96.9557, loss: 0.0857 2023-02-25 02:47:56,785 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 16:50:36, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7281, aux.loss_ce: 0.0302, aux.acc_seg: 96.9677, loss: 0.0849 2023-02-25 02:48:48,529 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 16:49:50, time: 1.035, data_time: 0.086, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.6916, aux.loss_ce: 0.0307, aux.acc_seg: 96.9254, loss: 0.0867 2023-02-25 02:49:36,626 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 16:49:01, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7922, aux.loss_ce: 0.0302, aux.acc_seg: 96.9879, loss: 0.0841 2023-02-25 02:50:24,553 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 16:48:12, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.7979, aux.loss_ce: 0.0299, aux.acc_seg: 97.0154, loss: 0.0834 2023-02-25 02:51:15,032 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 16:47:24, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0547, decode.acc_seg: 97.7584, aux.loss_ce: 0.0299, aux.acc_seg: 97.0099, loss: 0.0846 2023-02-25 02:52:02,491 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 16:46:35, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.7815, aux.loss_ce: 0.0308, aux.acc_seg: 96.8862, loss: 0.0845 2023-02-25 02:52:50,249 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 16:45:46, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7686, aux.loss_ce: 0.0306, aux.acc_seg: 96.9450, loss: 0.0845 2023-02-25 02:53:37,903 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:53:37,903 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 16:44:57, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7260, aux.loss_ce: 0.0303, aux.acc_seg: 96.9561, loss: 0.0852 2023-02-25 02:54:28,638 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 16:44:09, time: 1.014, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0556, decode.acc_seg: 97.7093, aux.loss_ce: 0.0304, aux.acc_seg: 96.9450, loss: 0.0860 2023-02-25 02:55:16,377 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 16:43:20, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8240, aux.loss_ce: 0.0300, aux.acc_seg: 96.9659, loss: 0.0825 2023-02-25 02:56:04,421 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 16:42:31, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7518, aux.loss_ce: 0.0304, aux.acc_seg: 96.9626, loss: 0.0848 2023-02-25 02:56:51,976 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 16:41:42, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0560, decode.acc_seg: 97.7014, aux.loss_ce: 0.0311, aux.acc_seg: 96.8920, loss: 0.0871 2023-02-25 02:57:43,551 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 16:40:55, time: 1.032, data_time: 0.091, memory: 24831, decode.loss_ce: 0.0561, decode.acc_seg: 97.7119, aux.loss_ce: 0.0306, aux.acc_seg: 96.9537, loss: 0.0867 2023-02-25 02:58:31,039 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 16:40:06, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8001, aux.loss_ce: 0.0290, aux.acc_seg: 97.0911, loss: 0.0822 2023-02-25 02:59:18,721 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 16:39:16, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7564, aux.loss_ce: 0.0300, aux.acc_seg: 96.9744, loss: 0.0839 2023-02-25 03:00:09,731 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 16:38:29, time: 1.020, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8484, aux.loss_ce: 0.0300, aux.acc_seg: 97.0125, loss: 0.0821 2023-02-25 03:00:57,653 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 16:37:40, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7820, aux.loss_ce: 0.0306, aux.acc_seg: 96.9404, loss: 0.0845 2023-02-25 03:01:45,514 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 16:36:51, time: 0.957, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7151, aux.loss_ce: 0.0312, aux.acc_seg: 96.8604, loss: 0.0864 2023-02-25 03:02:33,094 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 16:36:02, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0607, decode.acc_seg: 97.5329, aux.loss_ce: 0.0313, aux.acc_seg: 96.8835, loss: 0.0920 2023-02-25 03:03:23,587 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 16:35:14, time: 1.010, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7689, aux.loss_ce: 0.0302, aux.acc_seg: 96.9935, loss: 0.0848 2023-02-25 03:04:11,072 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 16:34:25, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7436, aux.loss_ce: 0.0313, aux.acc_seg: 96.8444, loss: 0.0857 2023-02-25 03:04:58,503 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 16:33:36, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7653, aux.loss_ce: 0.0309, aux.acc_seg: 96.9483, loss: 0.0852 2023-02-25 03:05:46,387 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 16:32:47, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7301, aux.loss_ce: 0.0302, aux.acc_seg: 96.9742, loss: 0.0855 2023-02-25 03:06:37,002 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 16:31:59, time: 1.012, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8887, aux.loss_ce: 0.0299, aux.acc_seg: 96.9956, loss: 0.0810 2023-02-25 03:07:24,604 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 16:31:10, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7046, aux.loss_ce: 0.0304, aux.acc_seg: 96.9270, loss: 0.0855 2023-02-25 03:08:12,393 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 16:30:21, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8556, aux.loss_ce: 0.0291, aux.acc_seg: 97.0797, loss: 0.0811 2023-02-25 03:09:00,525 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 16:29:32, time: 0.963, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8153, aux.loss_ce: 0.0300, aux.acc_seg: 97.0048, loss: 0.0827 2023-02-25 03:09:50,842 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:09:50,843 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 16:28:44, time: 1.006, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7960, aux.loss_ce: 0.0305, aux.acc_seg: 96.9712, loss: 0.0843 2023-02-25 03:10:38,482 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 16:27:55, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0579, decode.acc_seg: 97.6183, aux.loss_ce: 0.0313, aux.acc_seg: 96.8458, loss: 0.0892 2023-02-25 03:11:25,899 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 16:27:06, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.6971, aux.loss_ce: 0.0306, aux.acc_seg: 96.9324, loss: 0.0865 2023-02-25 03:12:16,107 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 16:26:18, time: 1.004, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7967, aux.loss_ce: 0.0298, aux.acc_seg: 97.0216, loss: 0.0832 2023-02-25 03:13:03,511 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 16:25:29, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7722, aux.loss_ce: 0.0310, aux.acc_seg: 96.9016, loss: 0.0850 2023-02-25 03:13:51,337 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 16:24:39, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0563, decode.acc_seg: 97.6936, aux.loss_ce: 0.0303, aux.acc_seg: 96.9764, loss: 0.0867 2023-02-25 03:14:38,969 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 16:23:50, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8371, aux.loss_ce: 0.0294, aux.acc_seg: 97.0363, loss: 0.0820 2023-02-25 03:15:29,375 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 16:23:03, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7766, aux.loss_ce: 0.0306, aux.acc_seg: 96.9306, loss: 0.0838 2023-02-25 03:16:17,270 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 16:22:14, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8511, aux.loss_ce: 0.0296, aux.acc_seg: 97.0278, loss: 0.0818 2023-02-25 03:17:04,657 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 16:21:24, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8210, aux.loss_ce: 0.0300, aux.acc_seg: 96.9734, loss: 0.0825 2023-02-25 03:17:52,065 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 16:20:35, time: 0.948, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7868, aux.loss_ce: 0.0305, aux.acc_seg: 96.9413, loss: 0.0842 2023-02-25 03:18:42,853 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 16:19:48, time: 1.016, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0571, decode.acc_seg: 97.6499, aux.loss_ce: 0.0308, aux.acc_seg: 96.8920, loss: 0.0879 2023-02-25 03:19:31,493 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 16:18:59, time: 0.972, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7855, aux.loss_ce: 0.0306, aux.acc_seg: 96.9436, loss: 0.0845 2023-02-25 03:20:19,009 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 16:18:10, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7426, aux.loss_ce: 0.0312, aux.acc_seg: 96.8949, loss: 0.0860 2023-02-25 03:21:09,559 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 16:17:22, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7764, aux.loss_ce: 0.0300, aux.acc_seg: 96.9996, loss: 0.0840 2023-02-25 03:21:56,961 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 16:16:33, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7635, aux.loss_ce: 0.0300, aux.acc_seg: 97.0066, loss: 0.0845 2023-02-25 03:22:44,442 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 16:15:44, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0547, decode.acc_seg: 97.7468, aux.loss_ce: 0.0314, aux.acc_seg: 96.8332, loss: 0.0861 2023-02-25 03:23:32,025 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 16:14:54, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7632, aux.loss_ce: 0.0300, aux.acc_seg: 96.9934, loss: 0.0842 2023-02-25 03:24:22,505 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 16:14:07, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7441, aux.loss_ce: 0.0305, aux.acc_seg: 96.9427, loss: 0.0853 2023-02-25 03:25:10,416 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 16:13:18, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7916, aux.loss_ce: 0.0299, aux.acc_seg: 97.0152, loss: 0.0838 2023-02-25 03:25:58,265 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:25:58,266 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 16:12:29, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8989, aux.loss_ce: 0.0291, aux.acc_seg: 97.0751, loss: 0.0800 2023-02-25 03:26:46,253 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 16:11:40, time: 0.960, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0547, decode.acc_seg: 97.7407, aux.loss_ce: 0.0304, aux.acc_seg: 96.9435, loss: 0.0850 2023-02-25 03:27:36,759 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 16:10:52, time: 1.010, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7874, aux.loss_ce: 0.0298, aux.acc_seg: 97.0400, loss: 0.0839 2023-02-25 03:28:24,515 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 16:10:03, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8787, aux.loss_ce: 0.0292, aux.acc_seg: 97.0872, loss: 0.0807 2023-02-25 03:29:12,380 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 16:09:14, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7354, aux.loss_ce: 0.0309, aux.acc_seg: 96.8741, loss: 0.0860 2023-02-25 03:30:00,650 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 16:08:25, time: 0.965, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7684, aux.loss_ce: 0.0299, aux.acc_seg: 97.0044, loss: 0.0844 2023-02-25 03:30:51,112 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 16:07:38, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8316, aux.loss_ce: 0.0301, aux.acc_seg: 97.0022, loss: 0.0828 2023-02-25 03:31:38,674 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 16:06:48, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9158, aux.loss_ce: 0.0290, aux.acc_seg: 97.0968, loss: 0.0793 2023-02-25 03:32:26,324 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 16:05:59, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0557, decode.acc_seg: 97.7115, aux.loss_ce: 0.0303, aux.acc_seg: 96.9537, loss: 0.0861 2023-02-25 03:33:16,623 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 16:05:11, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8544, aux.loss_ce: 0.0300, aux.acc_seg: 96.9840, loss: 0.0822 2023-02-25 03:34:04,030 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 16:04:22, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7773, aux.loss_ce: 0.0301, aux.acc_seg: 96.9889, loss: 0.0838 2023-02-25 03:34:51,525 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 16:03:33, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8782, aux.loss_ce: 0.0298, aux.acc_seg: 96.9882, loss: 0.0810 2023-02-25 03:35:39,027 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 16:02:44, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8267, aux.loss_ce: 0.0298, aux.acc_seg: 97.0059, loss: 0.0826 2023-02-25 03:36:29,334 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 16:01:56, time: 1.006, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7994, aux.loss_ce: 0.0306, aux.acc_seg: 96.9561, loss: 0.0843 2023-02-25 03:37:16,825 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 16:01:07, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8484, aux.loss_ce: 0.0295, aux.acc_seg: 97.0641, loss: 0.0819 2023-02-25 03:38:04,207 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 16:00:17, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8193, aux.loss_ce: 0.0294, aux.acc_seg: 97.0249, loss: 0.0820 2023-02-25 03:38:51,563 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 15:59:28, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7630, aux.loss_ce: 0.0296, aux.acc_seg: 97.0244, loss: 0.0838 2023-02-25 03:39:41,693 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 15:58:40, time: 1.003, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.8115, aux.loss_ce: 0.0310, aux.acc_seg: 96.9510, loss: 0.0845 2023-02-25 03:40:29,634 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 15:57:51, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0593, decode.acc_seg: 97.5755, aux.loss_ce: 0.0318, aux.acc_seg: 96.8500, loss: 0.0911 2023-02-25 03:41:17,081 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 15:57:02, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7521, aux.loss_ce: 0.0306, aux.acc_seg: 96.9167, loss: 0.0851 2023-02-25 03:42:07,830 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:42:07,830 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 15:56:14, time: 1.015, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0572, decode.acc_seg: 97.6635, aux.loss_ce: 0.0314, aux.acc_seg: 96.8815, loss: 0.0886 2023-02-25 03:42:55,638 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 15:55:25, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8179, aux.loss_ce: 0.0298, aux.acc_seg: 97.0165, loss: 0.0827 2023-02-25 03:43:43,397 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 15:54:36, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8362, aux.loss_ce: 0.0297, aux.acc_seg: 97.0296, loss: 0.0818 2023-02-25 03:44:31,368 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 15:53:47, time: 0.959, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0551, decode.acc_seg: 97.7277, aux.loss_ce: 0.0310, aux.acc_seg: 96.8910, loss: 0.0861 2023-02-25 03:45:21,988 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 15:53:00, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7868, aux.loss_ce: 0.0295, aux.acc_seg: 97.0280, loss: 0.0832 2023-02-25 03:46:09,441 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 15:52:10, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8362, aux.loss_ce: 0.0300, aux.acc_seg: 96.9876, loss: 0.0824 2023-02-25 03:46:56,891 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 15:51:21, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7348, aux.loss_ce: 0.0304, aux.acc_seg: 96.9428, loss: 0.0850 2023-02-25 03:47:44,648 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 15:50:32, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7511, aux.loss_ce: 0.0302, aux.acc_seg: 96.9803, loss: 0.0845 2023-02-25 03:48:34,998 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 15:49:44, time: 1.007, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8394, aux.loss_ce: 0.0293, aux.acc_seg: 97.0931, loss: 0.0817 2023-02-25 03:49:22,347 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 15:48:55, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8088, aux.loss_ce: 0.0306, aux.acc_seg: 96.9374, loss: 0.0835 2023-02-25 03:50:09,772 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 15:48:06, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8047, aux.loss_ce: 0.0307, aux.acc_seg: 96.9091, loss: 0.0836 2023-02-25 03:50:57,244 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 15:47:16, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8482, aux.loss_ce: 0.0300, aux.acc_seg: 97.0070, loss: 0.0824 2023-02-25 03:51:47,627 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 15:46:29, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8145, aux.loss_ce: 0.0303, aux.acc_seg: 96.9715, loss: 0.0834 2023-02-25 03:52:35,012 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 15:45:40, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8945, aux.loss_ce: 0.0285, aux.acc_seg: 97.1238, loss: 0.0796 2023-02-25 03:53:22,958 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 15:44:51, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7448, aux.loss_ce: 0.0307, aux.acc_seg: 96.9285, loss: 0.0857 2023-02-25 03:54:13,308 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 15:44:03, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7548, aux.loss_ce: 0.0300, aux.acc_seg: 97.0068, loss: 0.0846 2023-02-25 03:55:01,265 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 15:43:14, time: 0.959, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.8047, aux.loss_ce: 0.0300, aux.acc_seg: 96.9995, loss: 0.0834 2023-02-25 03:55:49,002 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 15:42:25, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7599, aux.loss_ce: 0.0304, aux.acc_seg: 96.9638, loss: 0.0848 2023-02-25 03:56:36,523 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 15:41:36, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7860, aux.loss_ce: 0.0293, aux.acc_seg: 97.0365, loss: 0.0829 2023-02-25 03:57:26,806 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 15:40:48, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7818, aux.loss_ce: 0.0300, aux.acc_seg: 96.9864, loss: 0.0836 2023-02-25 03:58:14,687 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:58:14,688 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 15:39:59, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7836, aux.loss_ce: 0.0307, aux.acc_seg: 96.9436, loss: 0.0849 2023-02-25 03:59:02,501 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 15:39:10, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0575, decode.acc_seg: 97.6729, aux.loss_ce: 0.0318, aux.acc_seg: 96.8358, loss: 0.0893 2023-02-25 03:59:50,237 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 15:38:21, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7724, aux.loss_ce: 0.0306, aux.acc_seg: 96.9266, loss: 0.0848 2023-02-25 04:00:40,989 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 15:37:33, time: 1.015, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0567, decode.acc_seg: 97.6871, aux.loss_ce: 0.0300, aux.acc_seg: 96.9864, loss: 0.0866 2023-02-25 04:01:29,003 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 15:36:44, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.8082, aux.loss_ce: 0.0298, aux.acc_seg: 97.0260, loss: 0.0834 2023-02-25 04:02:16,803 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 15:35:55, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8038, aux.loss_ce: 0.0297, aux.acc_seg: 97.0122, loss: 0.0828 2023-02-25 04:03:04,409 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 15:35:06, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8546, aux.loss_ce: 0.0295, aux.acc_seg: 97.0352, loss: 0.0812 2023-02-25 04:03:54,966 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 15:34:18, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8450, aux.loss_ce: 0.0289, aux.acc_seg: 97.0949, loss: 0.0812 2023-02-25 04:04:42,548 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 15:33:29, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7682, aux.loss_ce: 0.0305, aux.acc_seg: 96.9447, loss: 0.0846 2023-02-25 04:05:30,149 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 15:32:40, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8767, aux.loss_ce: 0.0296, aux.acc_seg: 97.0270, loss: 0.0811 2023-02-25 04:06:20,552 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 15:31:52, time: 1.008, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8398, aux.loss_ce: 0.0292, aux.acc_seg: 97.0627, loss: 0.0813 2023-02-25 04:07:08,045 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 15:31:03, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7214, aux.loss_ce: 0.0304, aux.acc_seg: 96.9418, loss: 0.0858 2023-02-25 04:07:55,528 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 15:30:14, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7496, aux.loss_ce: 0.0310, aux.acc_seg: 96.9080, loss: 0.0855 2023-02-25 04:08:43,372 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 15:29:25, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8340, aux.loss_ce: 0.0294, aux.acc_seg: 97.0385, loss: 0.0816 2023-02-25 04:09:33,941 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 15:28:37, time: 1.011, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7736, aux.loss_ce: 0.0302, aux.acc_seg: 96.9744, loss: 0.0843 2023-02-25 04:10:22,117 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 15:27:48, time: 0.964, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7671, aux.loss_ce: 0.0301, aux.acc_seg: 96.9788, loss: 0.0839 2023-02-25 04:11:10,055 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 15:26:59, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8885, aux.loss_ce: 0.0296, aux.acc_seg: 97.0394, loss: 0.0810 2023-02-25 04:11:57,786 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 15:26:10, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8296, aux.loss_ce: 0.0294, aux.acc_seg: 97.0690, loss: 0.0821 2023-02-25 04:12:48,329 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 15:25:23, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0550, decode.acc_seg: 97.7324, aux.loss_ce: 0.0301, aux.acc_seg: 96.9752, loss: 0.0851 2023-02-25 04:13:36,772 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 15:24:34, time: 0.969, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8332, aux.loss_ce: 0.0303, aux.acc_seg: 96.9824, loss: 0.0828 2023-02-25 04:14:24,707 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:14:24,708 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 15:23:45, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8482, aux.loss_ce: 0.0294, aux.acc_seg: 97.0123, loss: 0.0814 2023-02-25 04:15:15,204 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 15:22:57, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8889, aux.loss_ce: 0.0289, aux.acc_seg: 97.1059, loss: 0.0798 2023-02-25 04:16:02,886 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 15:22:08, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.7808, aux.loss_ce: 0.0299, aux.acc_seg: 96.9541, loss: 0.0832 2023-02-25 04:16:50,442 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 15:21:19, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8725, aux.loss_ce: 0.0294, aux.acc_seg: 97.0490, loss: 0.0809 2023-02-25 04:17:38,476 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 15:20:30, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0566, decode.acc_seg: 97.6871, aux.loss_ce: 0.0306, aux.acc_seg: 96.9594, loss: 0.0872 2023-02-25 04:18:29,035 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 15:19:43, time: 1.011, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7777, aux.loss_ce: 0.0300, aux.acc_seg: 96.9964, loss: 0.0837 2023-02-25 04:19:16,904 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 15:18:54, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8481, aux.loss_ce: 0.0298, aux.acc_seg: 97.0237, loss: 0.0821 2023-02-25 04:20:04,566 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 15:18:04, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8239, aux.loss_ce: 0.0296, aux.acc_seg: 97.0253, loss: 0.0823 2023-02-25 04:20:52,085 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 15:17:15, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.7868, aux.loss_ce: 0.0296, aux.acc_seg: 97.0138, loss: 0.0829 2023-02-25 04:21:42,366 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 15:16:28, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8420, aux.loss_ce: 0.0287, aux.acc_seg: 97.1040, loss: 0.0807 2023-02-25 04:22:30,173 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 15:15:38, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7658, aux.loss_ce: 0.0303, aux.acc_seg: 96.9691, loss: 0.0843 2023-02-25 04:23:17,917 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 15:14:49, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8897, aux.loss_ce: 0.0289, aux.acc_seg: 97.0985, loss: 0.0800 2023-02-25 04:24:05,440 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 15:14:00, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.8031, aux.loss_ce: 0.0298, aux.acc_seg: 97.0101, loss: 0.0831 2023-02-25 04:24:56,120 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 15:13:13, time: 1.014, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7807, aux.loss_ce: 0.0294, aux.acc_seg: 97.0476, loss: 0.0832 2023-02-25 04:25:44,479 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 15:12:24, time: 0.967, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7652, aux.loss_ce: 0.0300, aux.acc_seg: 96.9892, loss: 0.0844 2023-02-25 04:26:32,253 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 15:11:35, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0559, decode.acc_seg: 97.7022, aux.loss_ce: 0.0302, aux.acc_seg: 96.9631, loss: 0.0861 2023-02-25 04:27:22,881 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 15:10:47, time: 1.012, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8212, aux.loss_ce: 0.0297, aux.acc_seg: 97.0084, loss: 0.0822 2023-02-25 04:28:10,981 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 15:09:58, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7588, aux.loss_ce: 0.0298, aux.acc_seg: 97.0135, loss: 0.0840 2023-02-25 04:28:58,930 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 15:09:09, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8352, aux.loss_ce: 0.0308, aux.acc_seg: 96.9048, loss: 0.0832 2023-02-25 04:29:46,869 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 15:08:20, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7727, aux.loss_ce: 0.0287, aux.acc_seg: 97.1009, loss: 0.0826 2023-02-25 04:30:37,446 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:30:37,446 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 15:07:33, time: 1.012, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8604, aux.loss_ce: 0.0298, aux.acc_seg: 97.0339, loss: 0.0819 2023-02-25 04:31:25,113 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 15:06:44, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8143, aux.loss_ce: 0.0300, aux.acc_seg: 96.9751, loss: 0.0827 2023-02-25 04:32:12,632 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 15:05:55, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8211, aux.loss_ce: 0.0293, aux.acc_seg: 97.0565, loss: 0.0823 2023-02-25 04:33:00,249 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 15:05:05, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0542, decode.acc_seg: 97.7556, aux.loss_ce: 0.0295, aux.acc_seg: 97.0145, loss: 0.0837 2023-02-25 04:33:50,671 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 15:04:18, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8457, aux.loss_ce: 0.0289, aux.acc_seg: 97.0962, loss: 0.0813 2023-02-25 04:34:38,080 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 15:03:28, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0548, decode.acc_seg: 97.7402, aux.loss_ce: 0.0304, aux.acc_seg: 96.9587, loss: 0.0852 2023-02-25 04:35:25,594 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 15:02:39, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.7898, aux.loss_ce: 0.0298, aux.acc_seg: 97.0011, loss: 0.0831 2023-02-25 04:36:15,830 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 15:01:51, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8307, aux.loss_ce: 0.0300, aux.acc_seg: 96.9741, loss: 0.0822 2023-02-25 04:37:03,661 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 15:01:02, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8500, aux.loss_ce: 0.0289, aux.acc_seg: 97.0717, loss: 0.0806 2023-02-25 04:37:51,700 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 15:00:14, time: 0.961, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0549, decode.acc_seg: 97.7324, aux.loss_ce: 0.0308, aux.acc_seg: 96.9146, loss: 0.0857 2023-02-25 04:38:39,568 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 14:59:25, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0553, decode.acc_seg: 97.7478, aux.loss_ce: 0.0300, aux.acc_seg: 97.0175, loss: 0.0853 2023-02-25 04:39:30,254 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 14:58:37, time: 1.014, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7585, aux.loss_ce: 0.0297, aux.acc_seg: 97.0285, loss: 0.0840 2023-02-25 04:40:18,048 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 14:57:48, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8395, aux.loss_ce: 0.0292, aux.acc_seg: 97.0284, loss: 0.0809 2023-02-25 04:41:05,860 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 14:56:59, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.8101, aux.loss_ce: 0.0296, aux.acc_seg: 97.0290, loss: 0.0829 2023-02-25 04:41:53,734 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 14:56:10, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8110, aux.loss_ce: 0.0288, aux.acc_seg: 97.1136, loss: 0.0817 2023-02-25 04:42:45,242 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 14:55:23, time: 1.030, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0554, decode.acc_seg: 97.7075, aux.loss_ce: 0.0299, aux.acc_seg: 96.9988, loss: 0.0852 2023-02-25 04:43:33,186 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 14:54:34, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8366, aux.loss_ce: 0.0292, aux.acc_seg: 97.0670, loss: 0.0815 2023-02-25 04:44:20,769 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 14:53:45, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8426, aux.loss_ce: 0.0296, aux.acc_seg: 97.0226, loss: 0.0817 2023-02-25 04:45:08,463 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 14:52:56, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8766, aux.loss_ce: 0.0289, aux.acc_seg: 97.1082, loss: 0.0806 2023-02-25 04:45:59,076 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 14:52:08, time: 1.012, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.7919, aux.loss_ce: 0.0298, aux.acc_seg: 96.9824, loss: 0.0829 2023-02-25 04:46:46,680 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:46:46,680 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 14:51:19, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9164, aux.loss_ce: 0.0292, aux.acc_seg: 97.0577, loss: 0.0794 2023-02-25 04:47:34,113 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 14:50:30, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8143, aux.loss_ce: 0.0293, aux.acc_seg: 97.0664, loss: 0.0820 2023-02-25 04:48:24,478 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 14:49:42, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0544, decode.acc_seg: 97.7563, aux.loss_ce: 0.0297, aux.acc_seg: 97.0241, loss: 0.0841 2023-02-25 04:49:12,138 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 14:48:53, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7778, aux.loss_ce: 0.0308, aux.acc_seg: 96.9069, loss: 0.0844 2023-02-25 04:49:59,903 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 14:48:04, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8020, aux.loss_ce: 0.0294, aux.acc_seg: 97.0447, loss: 0.0824 2023-02-25 04:50:47,458 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 14:47:15, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8096, aux.loss_ce: 0.0293, aux.acc_seg: 97.0314, loss: 0.0823 2023-02-25 04:51:38,028 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 14:46:27, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8767, aux.loss_ce: 0.0287, aux.acc_seg: 97.1213, loss: 0.0804 2023-02-25 04:52:25,569 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 14:45:38, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8721, aux.loss_ce: 0.0291, aux.acc_seg: 97.0762, loss: 0.0807 2023-02-25 04:53:13,507 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 14:44:49, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8394, aux.loss_ce: 0.0290, aux.acc_seg: 97.0812, loss: 0.0816 2023-02-25 04:54:01,213 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 14:44:00, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8122, aux.loss_ce: 0.0297, aux.acc_seg: 97.0200, loss: 0.0825 2023-02-25 04:54:51,698 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 14:43:12, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7871, aux.loss_ce: 0.0295, aux.acc_seg: 97.0120, loss: 0.0827 2023-02-25 04:55:39,451 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 14:42:23, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8207, aux.loss_ce: 0.0305, aux.acc_seg: 96.9468, loss: 0.0830 2023-02-25 04:56:27,180 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 14:41:34, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8369, aux.loss_ce: 0.0302, aux.acc_seg: 96.9891, loss: 0.0830 2023-02-25 04:57:17,460 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 14:40:46, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7910, aux.loss_ce: 0.0288, aux.acc_seg: 97.0919, loss: 0.0820 2023-02-25 04:58:04,928 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 14:39:57, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8501, aux.loss_ce: 0.0293, aux.acc_seg: 97.0469, loss: 0.0812 2023-02-25 04:58:52,728 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 14:39:08, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0558, decode.acc_seg: 97.7049, aux.loss_ce: 0.0306, aux.acc_seg: 96.9711, loss: 0.0863 2023-02-25 04:59:40,413 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 14:38:19, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8018, aux.loss_ce: 0.0295, aux.acc_seg: 97.0160, loss: 0.0826 2023-02-25 05:00:30,777 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 14:37:31, time: 1.007, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9152, aux.loss_ce: 0.0287, aux.acc_seg: 97.1040, loss: 0.0789 2023-02-25 05:01:18,409 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 14:36:42, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8639, aux.loss_ce: 0.0284, aux.acc_seg: 97.1451, loss: 0.0802 2023-02-25 05:02:05,835 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 14:35:53, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8888, aux.loss_ce: 0.0291, aux.acc_seg: 97.0674, loss: 0.0799 2023-02-25 05:02:53,485 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:02:53,486 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 14:35:04, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7450, aux.loss_ce: 0.0305, aux.acc_seg: 96.9158, loss: 0.0848 2023-02-25 05:03:43,957 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 14:34:16, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7419, aux.loss_ce: 0.0295, aux.acc_seg: 97.0208, loss: 0.0841 2023-02-25 05:04:32,088 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 14:33:27, time: 0.963, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8124, aux.loss_ce: 0.0287, aux.acc_seg: 97.1012, loss: 0.0815 2023-02-25 05:05:19,544 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 14:32:38, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8532, aux.loss_ce: 0.0290, aux.acc_seg: 97.0988, loss: 0.0812 2023-02-25 05:06:07,084 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 14:31:49, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0564, decode.acc_seg: 97.6900, aux.loss_ce: 0.0312, aux.acc_seg: 96.8789, loss: 0.0876 2023-02-25 05:06:57,412 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 14:31:01, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8105, aux.loss_ce: 0.0300, aux.acc_seg: 96.9954, loss: 0.0830 2023-02-25 05:07:45,109 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 14:30:12, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8050, aux.loss_ce: 0.0301, aux.acc_seg: 96.9712, loss: 0.0829 2023-02-25 05:08:32,967 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 14:29:23, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8245, aux.loss_ce: 0.0293, aux.acc_seg: 97.0630, loss: 0.0819 2023-02-25 05:09:23,407 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 14:28:35, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8528, aux.loss_ce: 0.0291, aux.acc_seg: 97.0710, loss: 0.0812 2023-02-25 05:10:11,124 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 14:27:46, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8381, aux.loss_ce: 0.0286, aux.acc_seg: 97.1259, loss: 0.0811 2023-02-25 05:10:58,768 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 14:26:57, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8128, aux.loss_ce: 0.0292, aux.acc_seg: 97.0380, loss: 0.0817 2023-02-25 05:11:46,372 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 14:26:08, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8483, aux.loss_ce: 0.0283, aux.acc_seg: 97.1421, loss: 0.0803 2023-02-25 05:12:36,880 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 14:25:20, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8617, aux.loss_ce: 0.0295, aux.acc_seg: 97.0161, loss: 0.0811 2023-02-25 05:13:24,483 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 14:24:31, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8095, aux.loss_ce: 0.0308, aux.acc_seg: 96.9430, loss: 0.0836 2023-02-25 05:14:11,891 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 14:23:42, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8250, aux.loss_ce: 0.0300, aux.acc_seg: 96.9838, loss: 0.0827 2023-02-25 05:14:59,387 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 14:22:53, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.7841, aux.loss_ce: 0.0297, aux.acc_seg: 97.0075, loss: 0.0830 2023-02-25 05:15:49,826 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 14:22:05, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8168, aux.loss_ce: 0.0290, aux.acc_seg: 97.0629, loss: 0.0816 2023-02-25 05:16:37,806 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 14:21:16, time: 0.960, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9162, aux.loss_ce: 0.0283, aux.acc_seg: 97.1225, loss: 0.0784 2023-02-25 05:17:25,966 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 14:20:27, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8427, aux.loss_ce: 0.0292, aux.acc_seg: 97.0548, loss: 0.0815 2023-02-25 05:18:13,397 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 14:19:38, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7972, aux.loss_ce: 0.0302, aux.acc_seg: 96.9671, loss: 0.0836 2023-02-25 05:19:03,918 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:19:03,919 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 14:18:50, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8252, aux.loss_ce: 0.0297, aux.acc_seg: 97.0082, loss: 0.0822 2023-02-25 05:19:51,563 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 14:18:01, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8247, aux.loss_ce: 0.0293, aux.acc_seg: 97.0807, loss: 0.0820 2023-02-25 05:20:39,064 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 14:17:12, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8663, aux.loss_ce: 0.0289, aux.acc_seg: 97.1165, loss: 0.0810 2023-02-25 05:21:29,972 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 14:16:25, time: 1.018, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7928, aux.loss_ce: 0.0305, aux.acc_seg: 96.9418, loss: 0.0837 2023-02-25 05:22:17,707 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 14:15:36, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8086, aux.loss_ce: 0.0290, aux.acc_seg: 97.0869, loss: 0.0818 2023-02-25 05:23:05,092 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 14:14:46, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8557, aux.loss_ce: 0.0296, aux.acc_seg: 97.0130, loss: 0.0812 2023-02-25 05:23:52,636 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 14:13:57, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8218, aux.loss_ce: 0.0294, aux.acc_seg: 97.0330, loss: 0.0822 2023-02-25 05:24:42,755 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 14:13:09, time: 1.002, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8531, aux.loss_ce: 0.0292, aux.acc_seg: 97.0624, loss: 0.0811 2023-02-25 05:25:30,112 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 14:12:20, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8742, aux.loss_ce: 0.0304, aux.acc_seg: 96.9307, loss: 0.0819 2023-02-25 05:26:17,513 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 14:11:31, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8391, aux.loss_ce: 0.0289, aux.acc_seg: 97.0699, loss: 0.0809 2023-02-25 05:27:05,450 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 14:10:42, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0533, decode.acc_seg: 97.8011, aux.loss_ce: 0.0297, aux.acc_seg: 97.0220, loss: 0.0830 2023-02-25 05:27:56,089 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 14:09:54, time: 1.013, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.7943, aux.loss_ce: 0.0290, aux.acc_seg: 97.0775, loss: 0.0822 2023-02-25 05:28:43,845 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 14:09:05, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0543, decode.acc_seg: 97.7655, aux.loss_ce: 0.0289, aux.acc_seg: 97.0980, loss: 0.0832 2023-02-25 05:29:31,318 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 14:08:16, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8639, aux.loss_ce: 0.0300, aux.acc_seg: 96.9945, loss: 0.0816 2023-02-25 05:30:21,552 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 14:07:28, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8265, aux.loss_ce: 0.0301, aux.acc_seg: 96.9631, loss: 0.0827 2023-02-25 05:31:09,507 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 14:06:39, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.8027, aux.loss_ce: 0.0311, aux.acc_seg: 96.9213, loss: 0.0845 2023-02-25 05:31:57,656 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 14:05:51, time: 0.963, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9096, aux.loss_ce: 0.0290, aux.acc_seg: 97.0812, loss: 0.0794 2023-02-25 05:32:45,531 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 14:05:02, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8396, aux.loss_ce: 0.0287, aux.acc_seg: 97.1080, loss: 0.0813 2023-02-25 05:33:36,285 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 14:04:14, time: 1.015, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8430, aux.loss_ce: 0.0290, aux.acc_seg: 97.1094, loss: 0.0814 2023-02-25 05:34:24,071 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 14:03:25, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8515, aux.loss_ce: 0.0291, aux.acc_seg: 97.0666, loss: 0.0808 2023-02-25 05:35:11,820 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:35:11,820 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 14:02:36, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0546, decode.acc_seg: 97.7133, aux.loss_ce: 0.0307, aux.acc_seg: 96.8826, loss: 0.0853 2023-02-25 05:35:59,558 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 14:01:47, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7990, aux.loss_ce: 0.0297, aux.acc_seg: 97.0251, loss: 0.0835 2023-02-25 05:36:50,499 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 14:01:00, time: 1.019, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8422, aux.loss_ce: 0.0294, aux.acc_seg: 97.0545, loss: 0.0821 2023-02-25 05:37:38,471 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 14:00:11, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8302, aux.loss_ce: 0.0294, aux.acc_seg: 97.0599, loss: 0.0822 2023-02-25 05:38:26,051 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 13:59:21, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8274, aux.loss_ce: 0.0302, aux.acc_seg: 96.9667, loss: 0.0825 2023-02-25 05:39:13,738 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 13:58:32, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7740, aux.loss_ce: 0.0298, aux.acc_seg: 97.0110, loss: 0.0837 2023-02-25 05:40:04,525 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 13:57:45, time: 1.016, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8192, aux.loss_ce: 0.0290, aux.acc_seg: 97.0733, loss: 0.0817 2023-02-25 05:40:52,592 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 13:56:56, time: 0.961, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8767, aux.loss_ce: 0.0297, aux.acc_seg: 97.0130, loss: 0.0809 2023-02-25 05:41:40,363 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 13:56:07, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8039, aux.loss_ce: 0.0300, aux.acc_seg: 96.9880, loss: 0.0829 2023-02-25 05:42:30,816 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 13:55:19, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.9063, aux.loss_ce: 0.0294, aux.acc_seg: 97.0419, loss: 0.0801 2023-02-25 05:43:18,638 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 13:54:30, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0545, decode.acc_seg: 97.7534, aux.loss_ce: 0.0297, aux.acc_seg: 97.0191, loss: 0.0843 2023-02-25 05:44:06,056 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 13:53:41, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7985, aux.loss_ce: 0.0293, aux.acc_seg: 97.0544, loss: 0.0827 2023-02-25 05:44:53,498 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 13:52:52, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7603, aux.loss_ce: 0.0297, aux.acc_seg: 96.9900, loss: 0.0835 2023-02-25 05:45:43,572 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 13:52:04, time: 1.001, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8880, aux.loss_ce: 0.0297, aux.acc_seg: 97.0007, loss: 0.0804 2023-02-25 05:46:31,193 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 13:51:15, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.8151, aux.loss_ce: 0.0307, aux.acc_seg: 96.9326, loss: 0.0837 2023-02-25 05:47:18,729 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 13:50:26, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8594, aux.loss_ce: 0.0291, aux.acc_seg: 97.0571, loss: 0.0806 2023-02-25 05:48:06,539 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 13:49:37, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8426, aux.loss_ce: 0.0293, aux.acc_seg: 97.0657, loss: 0.0815 2023-02-25 05:48:56,884 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 13:48:49, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7760, aux.loss_ce: 0.0301, aux.acc_seg: 96.9645, loss: 0.0833 2023-02-25 05:49:44,736 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 13:48:00, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9170, aux.loss_ce: 0.0284, aux.acc_seg: 97.1658, loss: 0.0787 2023-02-25 05:50:32,468 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 13:47:11, time: 0.954, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8421, aux.loss_ce: 0.0286, aux.acc_seg: 97.1025, loss: 0.0805 2023-02-25 05:51:23,033 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:51:23,033 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 13:46:23, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8923, aux.loss_ce: 0.0288, aux.acc_seg: 97.1038, loss: 0.0794 2023-02-25 05:52:10,702 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 13:45:34, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8316, aux.loss_ce: 0.0290, aux.acc_seg: 97.0777, loss: 0.0813 2023-02-25 05:52:58,389 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 13:44:45, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8266, aux.loss_ce: 0.0293, aux.acc_seg: 97.0275, loss: 0.0818 2023-02-25 05:53:46,079 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 13:43:56, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7919, aux.loss_ce: 0.0288, aux.acc_seg: 97.0754, loss: 0.0820 2023-02-25 05:54:37,585 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 13:43:09, time: 1.030, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9189, aux.loss_ce: 0.0285, aux.acc_seg: 97.0921, loss: 0.0783 2023-02-25 05:55:25,234 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 13:42:20, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8944, aux.loss_ce: 0.0288, aux.acc_seg: 97.1025, loss: 0.0795 2023-02-25 05:56:13,111 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 13:41:31, time: 0.958, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8676, aux.loss_ce: 0.0292, aux.acc_seg: 97.0418, loss: 0.0804 2023-02-25 05:57:01,234 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 13:40:42, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8328, aux.loss_ce: 0.0293, aux.acc_seg: 97.0500, loss: 0.0816 2023-02-25 05:57:51,616 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 13:39:54, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8763, aux.loss_ce: 0.0283, aux.acc_seg: 97.1275, loss: 0.0793 2023-02-25 05:58:39,115 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 13:39:05, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8179, aux.loss_ce: 0.0283, aux.acc_seg: 97.1338, loss: 0.0807 2023-02-25 05:59:26,641 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 13:38:16, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0547, decode.acc_seg: 97.7314, aux.loss_ce: 0.0305, aux.acc_seg: 96.9133, loss: 0.0852 2023-02-25 06:00:14,451 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 13:37:27, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7966, aux.loss_ce: 0.0296, aux.acc_seg: 97.0328, loss: 0.0832 2023-02-25 06:01:05,083 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 13:36:39, time: 1.013, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7976, aux.loss_ce: 0.0294, aux.acc_seg: 97.0627, loss: 0.0828 2023-02-25 06:01:53,158 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 13:35:51, time: 0.961, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8390, aux.loss_ce: 0.0292, aux.acc_seg: 97.0483, loss: 0.0811 2023-02-25 06:02:40,766 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 13:35:01, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7668, aux.loss_ce: 0.0302, aux.acc_seg: 96.9485, loss: 0.0842 2023-02-25 06:03:31,051 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 13:34:14, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8674, aux.loss_ce: 0.0293, aux.acc_seg: 97.0311, loss: 0.0805 2023-02-25 06:04:18,643 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 13:33:25, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8672, aux.loss_ce: 0.0296, aux.acc_seg: 97.0125, loss: 0.0811 2023-02-25 06:05:06,351 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 13:32:36, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8541, aux.loss_ce: 0.0299, aux.acc_seg: 97.0279, loss: 0.0820 2023-02-25 06:05:53,909 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 13:31:46, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8807, aux.loss_ce: 0.0278, aux.acc_seg: 97.1797, loss: 0.0788 2023-02-25 06:06:44,548 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 13:30:59, time: 1.013, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9041, aux.loss_ce: 0.0285, aux.acc_seg: 97.1136, loss: 0.0791 2023-02-25 06:07:32,301 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:07:32,312 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 13:30:10, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8540, aux.loss_ce: 0.0292, aux.acc_seg: 97.0386, loss: 0.0806 2023-02-25 06:08:20,083 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 13:29:21, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8036, aux.loss_ce: 0.0293, aux.acc_seg: 97.0734, loss: 0.0825 2023-02-25 06:09:08,000 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 13:28:32, time: 0.958, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8095, aux.loss_ce: 0.0289, aux.acc_seg: 97.0731, loss: 0.0818 2023-02-25 06:09:58,753 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 13:27:44, time: 1.015, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8612, aux.loss_ce: 0.0294, aux.acc_seg: 97.0407, loss: 0.0809 2023-02-25 06:10:46,768 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 13:26:55, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9680, aux.loss_ce: 0.0282, aux.acc_seg: 97.1318, loss: 0.0768 2023-02-25 06:11:34,387 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 13:26:06, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8452, aux.loss_ce: 0.0300, aux.acc_seg: 97.0068, loss: 0.0825 2023-02-25 06:12:24,715 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 13:25:18, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8603, aux.loss_ce: 0.0293, aux.acc_seg: 97.0429, loss: 0.0806 2023-02-25 06:13:12,108 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 13:24:29, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8469, aux.loss_ce: 0.0291, aux.acc_seg: 97.0616, loss: 0.0811 2023-02-25 06:13:59,820 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 13:23:40, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9405, aux.loss_ce: 0.0285, aux.acc_seg: 97.1032, loss: 0.0782 2023-02-25 06:14:48,527 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 13:22:52, time: 0.974, data_time: 0.026, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9401, aux.loss_ce: 0.0286, aux.acc_seg: 97.1146, loss: 0.0782 2023-02-25 06:15:39,033 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 13:22:04, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7566, aux.loss_ce: 0.0300, aux.acc_seg: 96.9873, loss: 0.0840 2023-02-25 06:16:26,742 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 13:21:15, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9107, aux.loss_ce: 0.0282, aux.acc_seg: 97.1151, loss: 0.0780 2023-02-25 06:17:14,416 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 13:20:26, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0530, decode.acc_seg: 97.7979, aux.loss_ce: 0.0294, aux.acc_seg: 97.0319, loss: 0.0824 2023-02-25 06:18:01,978 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 13:19:37, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8249, aux.loss_ce: 0.0300, aux.acc_seg: 97.0074, loss: 0.0832 2023-02-25 06:18:52,845 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 13:18:49, time: 1.017, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8480, aux.loss_ce: 0.0289, aux.acc_seg: 97.0851, loss: 0.0808 2023-02-25 06:19:40,358 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 13:18:00, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8933, aux.loss_ce: 0.0289, aux.acc_seg: 97.0738, loss: 0.0797 2023-02-25 06:20:28,197 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 13:17:11, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8317, aux.loss_ce: 0.0287, aux.acc_seg: 97.1164, loss: 0.0813 2023-02-25 06:21:15,986 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 13:16:22, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7923, aux.loss_ce: 0.0294, aux.acc_seg: 97.0291, loss: 0.0826 2023-02-25 06:22:06,510 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 13:15:34, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8733, aux.loss_ce: 0.0297, aux.acc_seg: 97.0142, loss: 0.0807 2023-02-25 06:22:54,186 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 13:14:45, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8246, aux.loss_ce: 0.0284, aux.acc_seg: 97.1213, loss: 0.0806 2023-02-25 06:23:41,860 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:23:41,861 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 13:13:56, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8670, aux.loss_ce: 0.0285, aux.acc_seg: 97.1221, loss: 0.0797 2023-02-25 06:24:32,457 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 13:13:09, time: 1.012, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7893, aux.loss_ce: 0.0302, aux.acc_seg: 96.9425, loss: 0.0836 2023-02-25 06:25:20,740 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 13:12:20, time: 0.966, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7915, aux.loss_ce: 0.0293, aux.acc_seg: 97.0284, loss: 0.0824 2023-02-25 06:26:08,318 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 13:11:31, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7943, aux.loss_ce: 0.0293, aux.acc_seg: 97.0596, loss: 0.0827 2023-02-25 06:26:56,032 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 13:10:42, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8330, aux.loss_ce: 0.0293, aux.acc_seg: 97.0378, loss: 0.0815 2023-02-25 06:27:47,257 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 13:09:54, time: 1.025, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.7910, aux.loss_ce: 0.0294, aux.acc_seg: 97.0314, loss: 0.0829 2023-02-25 06:28:35,085 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 13:09:05, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8912, aux.loss_ce: 0.0288, aux.acc_seg: 97.1001, loss: 0.0795 2023-02-25 06:29:22,920 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 13:08:16, time: 0.957, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8227, aux.loss_ce: 0.0294, aux.acc_seg: 97.0155, loss: 0.0814 2023-02-25 06:30:10,456 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 13:07:27, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8784, aux.loss_ce: 0.0287, aux.acc_seg: 97.0729, loss: 0.0796 2023-02-25 06:31:00,953 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 13:06:40, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8587, aux.loss_ce: 0.0287, aux.acc_seg: 97.1020, loss: 0.0806 2023-02-25 06:31:48,665 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 13:05:51, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8819, aux.loss_ce: 0.0286, aux.acc_seg: 97.1148, loss: 0.0795 2023-02-25 06:32:36,325 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 13:05:02, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.7952, aux.loss_ce: 0.0294, aux.acc_seg: 97.0418, loss: 0.0822 2023-02-25 06:33:24,368 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 13:04:13, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.7989, aux.loss_ce: 0.0292, aux.acc_seg: 97.0421, loss: 0.0823 2023-02-25 06:34:14,648 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 13:03:25, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.7868, aux.loss_ce: 0.0289, aux.acc_seg: 97.0855, loss: 0.0824 2023-02-25 06:35:02,192 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 13:02:36, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8549, aux.loss_ce: 0.0299, aux.acc_seg: 96.9980, loss: 0.0819 2023-02-25 06:35:49,827 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 13:01:47, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8783, aux.loss_ce: 0.0285, aux.acc_seg: 97.1077, loss: 0.0796 2023-02-25 06:36:40,257 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 13:00:59, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8034, aux.loss_ce: 0.0292, aux.acc_seg: 97.0388, loss: 0.0818 2023-02-25 06:37:28,272 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 13:00:10, time: 0.960, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8386, aux.loss_ce: 0.0290, aux.acc_seg: 97.0534, loss: 0.0808 2023-02-25 06:38:16,142 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 12:59:21, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9346, aux.loss_ce: 0.0280, aux.acc_seg: 97.1928, loss: 0.0776 2023-02-25 06:39:03,886 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 12:58:32, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8748, aux.loss_ce: 0.0290, aux.acc_seg: 97.0752, loss: 0.0799 2023-02-25 06:39:54,537 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-02-25 06:39:56,546 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:39:56,549 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 12:57:45, time: 1.053, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8923, aux.loss_ce: 0.0289, aux.acc_seg: 97.0783, loss: 0.0797 2023-02-25 06:40:53,565 - mmseg - INFO - per class results: 2023-02-25 06:40:53,567 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.5 | 99.12 | | sidewalk | 87.53 | 94.27 | | building | 93.57 | 97.24 | | wall | 61.74 | 67.02 | | fence | 66.75 | 73.88 | | pole | 72.24 | 82.66 | | traffic light | 74.74 | 82.22 | | traffic sign | 83.86 | 89.41 | | vegetation | 93.3 | 96.88 | | terrain | 67.79 | 74.86 | | sky | 95.24 | 98.61 | | person | 85.62 | 93.39 | | rider | 67.66 | 77.6 | | car | 95.79 | 98.37 | | truck | 78.51 | 81.59 | | bus | 92.68 | 95.51 | | train | 85.52 | 87.13 | | motorcycle | 72.46 | 84.13 | | bicycle | 81.73 | 91.68 | +---------------+-------+-------+ 2023-02-25 06:40:53,567 - mmseg - INFO - Summary: 2023-02-25 06:40:53,567 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.74 | 81.85 | 87.66 | +-------+-------+-------+ 2023-02-25 06:40:53,568 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:40:53,568 - mmseg - INFO - Iter(val) [125] aAcc: 0.9674, mIoU: 0.8185, mAcc: 0.8766, IoU.road: 0.9850, IoU.sidewalk: 0.8753, IoU.building: 0.9357, IoU.wall: 0.6174, IoU.fence: 0.6675, IoU.pole: 0.7224, IoU.traffic light: 0.7474, IoU.traffic sign: 0.8386, IoU.vegetation: 0.9330, IoU.terrain: 0.6779, IoU.sky: 0.9524, IoU.person: 0.8562, IoU.rider: 0.6766, IoU.car: 0.9579, IoU.truck: 0.7851, IoU.bus: 0.9268, IoU.train: 0.8552, IoU.motorcycle: 0.7246, IoU.bicycle: 0.8173, Acc.road: 0.9912, Acc.sidewalk: 0.9427, Acc.building: 0.9724, Acc.wall: 0.6702, Acc.fence: 0.7388, Acc.pole: 0.8266, Acc.traffic light: 0.8222, Acc.traffic sign: 0.8941, Acc.vegetation: 0.9688, Acc.terrain: 0.7486, Acc.sky: 0.9861, Acc.person: 0.9339, Acc.rider: 0.7760, Acc.car: 0.9837, Acc.truck: 0.8159, Acc.bus: 0.9551, Acc.train: 0.8713, Acc.motorcycle: 0.8413, Acc.bicycle: 0.9168 2023-02-25 06:41:41,751 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 12:57:21, time: 2.104, data_time: 1.150, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8656, aux.loss_ce: 0.0287, aux.acc_seg: 97.1143, loss: 0.0805 2023-02-25 06:42:29,387 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 12:56:32, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7918, aux.loss_ce: 0.0294, aux.acc_seg: 97.0368, loss: 0.0826 2023-02-25 06:43:17,067 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 12:55:43, time: 0.953, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8649, aux.loss_ce: 0.0285, aux.acc_seg: 97.1103, loss: 0.0800 2023-02-25 06:44:07,976 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 12:54:55, time: 1.018, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8674, aux.loss_ce: 0.0291, aux.acc_seg: 97.0642, loss: 0.0805 2023-02-25 06:44:55,789 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 12:54:06, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7892, aux.loss_ce: 0.0303, aux.acc_seg: 96.9490, loss: 0.0837 2023-02-25 06:45:43,579 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 12:53:17, time: 0.956, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.9028, aux.loss_ce: 0.0284, aux.acc_seg: 97.1425, loss: 0.0794 2023-02-25 06:46:33,836 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 12:52:29, time: 1.005, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8132, aux.loss_ce: 0.0303, aux.acc_seg: 96.9523, loss: 0.0834 2023-02-25 06:47:21,444 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 12:51:40, time: 0.951, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8157, aux.loss_ce: 0.0286, aux.acc_seg: 97.1255, loss: 0.0815 2023-02-25 06:48:09,325 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 12:50:51, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.8248, aux.loss_ce: 0.0299, aux.acc_seg: 97.0201, loss: 0.0828 2023-02-25 06:48:56,942 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 12:50:02, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8299, aux.loss_ce: 0.0287, aux.acc_seg: 97.0979, loss: 0.0812 2023-02-25 06:49:47,429 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 12:49:14, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8625, aux.loss_ce: 0.0287, aux.acc_seg: 97.0863, loss: 0.0802 2023-02-25 06:50:35,182 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 12:48:25, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8107, aux.loss_ce: 0.0292, aux.acc_seg: 97.0608, loss: 0.0818 2023-02-25 06:51:23,373 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 12:47:36, time: 0.964, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9251, aux.loss_ce: 0.0281, aux.acc_seg: 97.1899, loss: 0.0782 2023-02-25 06:52:10,868 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 12:46:47, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9205, aux.loss_ce: 0.0295, aux.acc_seg: 97.0438, loss: 0.0798 2023-02-25 06:53:01,797 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 12:46:00, time: 1.019, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7833, aux.loss_ce: 0.0299, aux.acc_seg: 97.0021, loss: 0.0834 2023-02-25 06:53:49,401 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 12:45:11, time: 0.952, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0536, decode.acc_seg: 97.7895, aux.loss_ce: 0.0298, aux.acc_seg: 97.0123, loss: 0.0834 2023-02-25 06:54:37,379 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 12:44:22, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8267, aux.loss_ce: 0.0286, aux.acc_seg: 97.1383, loss: 0.0813 2023-02-25 06:55:24,810 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 12:43:32, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8678, aux.loss_ce: 0.0293, aux.acc_seg: 97.0305, loss: 0.0804 2023-02-25 06:56:15,435 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 12:42:45, time: 1.012, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8467, aux.loss_ce: 0.0294, aux.acc_seg: 97.0313, loss: 0.0809 2023-02-25 06:57:03,728 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:57:03,729 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 12:41:56, time: 0.966, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 98.0049, aux.loss_ce: 0.0279, aux.acc_seg: 97.1913, loss: 0.0760 2023-02-25 06:57:51,287 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 12:41:07, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9132, aux.loss_ce: 0.0289, aux.acc_seg: 97.0849, loss: 0.0792 2023-02-25 06:58:41,678 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 12:40:19, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7762, aux.loss_ce: 0.0298, aux.acc_seg: 97.0016, loss: 0.0832 2023-02-25 06:59:29,898 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 12:39:30, time: 0.965, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9152, aux.loss_ce: 0.0279, aux.acc_seg: 97.1797, loss: 0.0779 2023-02-25 07:00:18,101 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 12:38:41, time: 0.964, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8914, aux.loss_ce: 0.0285, aux.acc_seg: 97.1260, loss: 0.0794 2023-02-25 07:01:05,798 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 12:37:52, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8219, aux.loss_ce: 0.0283, aux.acc_seg: 97.1500, loss: 0.0809 2023-02-25 07:01:56,450 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 12:37:04, time: 1.013, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9246, aux.loss_ce: 0.0280, aux.acc_seg: 97.1853, loss: 0.0783 2023-02-25 07:02:43,984 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 12:36:15, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8879, aux.loss_ce: 0.0289, aux.acc_seg: 97.0814, loss: 0.0799 2023-02-25 07:03:31,425 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 12:35:26, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8336, aux.loss_ce: 0.0293, aux.acc_seg: 97.0403, loss: 0.0814 2023-02-25 07:04:19,062 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 12:34:37, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9424, aux.loss_ce: 0.0291, aux.acc_seg: 97.0599, loss: 0.0785 2023-02-25 07:05:09,587 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 12:33:49, time: 1.010, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9666, aux.loss_ce: 0.0277, aux.acc_seg: 97.2180, loss: 0.0768 2023-02-25 07:05:57,152 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 12:33:00, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0537, decode.acc_seg: 97.7820, aux.loss_ce: 0.0291, aux.acc_seg: 97.0657, loss: 0.0828 2023-02-25 07:06:45,059 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 12:32:11, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.7771, aux.loss_ce: 0.0292, aux.acc_seg: 97.0563, loss: 0.0827 2023-02-25 07:07:35,707 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 12:31:24, time: 1.013, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8222, aux.loss_ce: 0.0295, aux.acc_seg: 97.0028, loss: 0.0819 2023-02-25 07:08:23,448 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 12:30:35, time: 0.955, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8636, aux.loss_ce: 0.0283, aux.acc_seg: 97.1541, loss: 0.0796 2023-02-25 07:09:11,007 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 12:29:45, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0541, decode.acc_seg: 97.7534, aux.loss_ce: 0.0295, aux.acc_seg: 97.0090, loss: 0.0835 2023-02-25 07:09:58,379 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 12:28:56, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7789, aux.loss_ce: 0.0289, aux.acc_seg: 97.1113, loss: 0.0829 2023-02-25 07:10:49,000 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 12:28:08, time: 1.012, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8792, aux.loss_ce: 0.0292, aux.acc_seg: 97.0552, loss: 0.0804 2023-02-25 07:11:36,552 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 12:27:19, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8903, aux.loss_ce: 0.0286, aux.acc_seg: 97.0959, loss: 0.0790 2023-02-25 07:12:24,213 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 12:26:30, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8212, aux.loss_ce: 0.0291, aux.acc_seg: 97.0541, loss: 0.0817 2023-02-25 07:13:11,754 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:13:11,754 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 12:25:41, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8086, aux.loss_ce: 0.0294, aux.acc_seg: 97.0599, loss: 0.0826 2023-02-25 07:14:02,163 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 12:24:53, time: 1.008, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9207, aux.loss_ce: 0.0293, aux.acc_seg: 97.0443, loss: 0.0793 2023-02-25 07:14:49,831 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 12:24:04, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9084, aux.loss_ce: 0.0283, aux.acc_seg: 97.1404, loss: 0.0787 2023-02-25 07:15:37,410 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 12:23:15, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9010, aux.loss_ce: 0.0286, aux.acc_seg: 97.1091, loss: 0.0792 2023-02-25 07:16:24,921 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 12:22:26, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8078, aux.loss_ce: 0.0292, aux.acc_seg: 97.0475, loss: 0.0818 2023-02-25 07:17:15,618 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 12:21:38, time: 1.014, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0538, decode.acc_seg: 97.7774, aux.loss_ce: 0.0295, aux.acc_seg: 97.0229, loss: 0.0832 2023-02-25 07:18:03,725 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 12:20:50, time: 0.962, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8803, aux.loss_ce: 0.0288, aux.acc_seg: 97.0940, loss: 0.0801 2023-02-25 07:18:51,420 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 12:20:01, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8568, aux.loss_ce: 0.0290, aux.acc_seg: 97.0646, loss: 0.0806 2023-02-25 07:19:42,137 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 12:19:13, time: 1.014, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9065, aux.loss_ce: 0.0285, aux.acc_seg: 97.1234, loss: 0.0789 2023-02-25 07:20:29,661 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 12:18:24, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8188, aux.loss_ce: 0.0285, aux.acc_seg: 97.1098, loss: 0.0811 2023-02-25 07:21:17,240 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 12:17:35, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8363, aux.loss_ce: 0.0289, aux.acc_seg: 97.0895, loss: 0.0815 2023-02-25 07:22:04,755 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 12:16:46, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8942, aux.loss_ce: 0.0282, aux.acc_seg: 97.1607, loss: 0.0792 2023-02-25 07:22:55,334 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 12:15:58, time: 1.012, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8568, aux.loss_ce: 0.0296, aux.acc_seg: 97.0312, loss: 0.0819 2023-02-25 07:23:43,247 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 12:15:09, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0534, decode.acc_seg: 97.7885, aux.loss_ce: 0.0296, aux.acc_seg: 97.0188, loss: 0.0830 2023-02-25 07:24:31,220 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 12:14:20, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9716, aux.loss_ce: 0.0282, aux.acc_seg: 97.1565, loss: 0.0768 2023-02-25 07:25:19,198 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 12:13:31, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9221, aux.loss_ce: 0.0284, aux.acc_seg: 97.1428, loss: 0.0788 2023-02-25 07:26:09,577 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 12:12:43, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8950, aux.loss_ce: 0.0284, aux.acc_seg: 97.1212, loss: 0.0790 2023-02-25 07:26:56,921 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 12:11:54, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9686, aux.loss_ce: 0.0284, aux.acc_seg: 97.1202, loss: 0.0772 2023-02-25 07:27:44,528 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 12:11:05, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8684, aux.loss_ce: 0.0285, aux.acc_seg: 97.1168, loss: 0.0796 2023-02-25 07:28:35,051 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 12:10:17, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9497, aux.loss_ce: 0.0279, aux.acc_seg: 97.1726, loss: 0.0774 2023-02-25 07:29:23,119 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:29:23,120 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 12:09:28, time: 0.961, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8594, aux.loss_ce: 0.0290, aux.acc_seg: 97.0789, loss: 0.0805 2023-02-25 07:30:11,020 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 12:08:39, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9018, aux.loss_ce: 0.0283, aux.acc_seg: 97.1285, loss: 0.0789 2023-02-25 07:30:58,824 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 12:07:50, time: 0.956, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8210, aux.loss_ce: 0.0289, aux.acc_seg: 97.0925, loss: 0.0820 2023-02-25 07:31:49,201 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 12:07:02, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8458, aux.loss_ce: 0.0288, aux.acc_seg: 97.0724, loss: 0.0807 2023-02-25 07:32:36,565 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 12:06:13, time: 0.947, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8462, aux.loss_ce: 0.0287, aux.acc_seg: 97.1037, loss: 0.0808 2023-02-25 07:33:24,264 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 12:05:24, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8871, aux.loss_ce: 0.0289, aux.acc_seg: 97.0665, loss: 0.0798 2023-02-25 07:34:11,756 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 12:04:35, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8738, aux.loss_ce: 0.0284, aux.acc_seg: 97.1402, loss: 0.0798 2023-02-25 07:35:01,968 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 12:03:47, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9244, aux.loss_ce: 0.0288, aux.acc_seg: 97.1232, loss: 0.0793 2023-02-25 07:35:49,710 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 12:02:58, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8789, aux.loss_ce: 0.0291, aux.acc_seg: 97.0699, loss: 0.0804 2023-02-25 07:36:37,129 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 12:02:09, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8452, aux.loss_ce: 0.0277, aux.acc_seg: 97.1734, loss: 0.0792 2023-02-25 07:37:24,466 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 12:01:20, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.9034, aux.loss_ce: 0.0292, aux.acc_seg: 97.0720, loss: 0.0798 2023-02-25 07:38:14,972 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 12:00:32, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8964, aux.loss_ce: 0.0284, aux.acc_seg: 97.1324, loss: 0.0791 2023-02-25 07:39:03,035 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 11:59:43, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8579, aux.loss_ce: 0.0290, aux.acc_seg: 97.0868, loss: 0.0807 2023-02-25 07:39:50,650 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 11:58:54, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8398, aux.loss_ce: 0.0291, aux.acc_seg: 97.0485, loss: 0.0811 2023-02-25 07:40:41,249 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 11:58:06, time: 1.012, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9316, aux.loss_ce: 0.0279, aux.acc_seg: 97.1802, loss: 0.0777 2023-02-25 07:41:29,113 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 11:57:17, time: 0.958, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8887, aux.loss_ce: 0.0289, aux.acc_seg: 97.0947, loss: 0.0802 2023-02-25 07:42:16,572 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 11:56:28, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8018, aux.loss_ce: 0.0295, aux.acc_seg: 97.0369, loss: 0.0827 2023-02-25 07:43:04,732 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 11:55:39, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9510, aux.loss_ce: 0.0278, aux.acc_seg: 97.2102, loss: 0.0771 2023-02-25 07:43:55,163 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 11:54:52, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8584, aux.loss_ce: 0.0295, aux.acc_seg: 97.0126, loss: 0.0809 2023-02-25 07:44:43,133 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 11:54:03, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9425, aux.loss_ce: 0.0290, aux.acc_seg: 97.0952, loss: 0.0785 2023-02-25 07:45:30,972 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:45:30,972 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 11:53:14, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9225, aux.loss_ce: 0.0283, aux.acc_seg: 97.1394, loss: 0.0779 2023-02-25 07:46:18,562 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 11:52:25, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8584, aux.loss_ce: 0.0289, aux.acc_seg: 97.0843, loss: 0.0804 2023-02-25 07:47:09,148 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 11:51:37, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8768, aux.loss_ce: 0.0292, aux.acc_seg: 97.0702, loss: 0.0805 2023-02-25 07:47:56,691 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 11:50:48, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9171, aux.loss_ce: 0.0286, aux.acc_seg: 97.1491, loss: 0.0786 2023-02-25 07:48:44,488 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 11:49:59, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8114, aux.loss_ce: 0.0293, aux.acc_seg: 97.0421, loss: 0.0819 2023-02-25 07:49:32,382 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 11:49:10, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8912, aux.loss_ce: 0.0290, aux.acc_seg: 97.0900, loss: 0.0799 2023-02-25 07:50:23,000 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 11:48:22, time: 1.012, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9368, aux.loss_ce: 0.0289, aux.acc_seg: 97.0929, loss: 0.0785 2023-02-25 07:51:10,833 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 11:47:33, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8204, aux.loss_ce: 0.0295, aux.acc_seg: 97.0300, loss: 0.0821 2023-02-25 07:51:58,485 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 11:46:44, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0535, decode.acc_seg: 97.7975, aux.loss_ce: 0.0288, aux.acc_seg: 97.1144, loss: 0.0823 2023-02-25 07:52:49,148 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 11:45:56, time: 1.013, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8659, aux.loss_ce: 0.0290, aux.acc_seg: 97.0557, loss: 0.0804 2023-02-25 07:53:37,040 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 11:45:07, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8365, aux.loss_ce: 0.0292, aux.acc_seg: 97.0474, loss: 0.0813 2023-02-25 07:54:24,826 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 11:44:18, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8396, aux.loss_ce: 0.0291, aux.acc_seg: 97.0490, loss: 0.0810 2023-02-25 07:55:12,542 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 11:43:29, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8896, aux.loss_ce: 0.0280, aux.acc_seg: 97.1834, loss: 0.0787 2023-02-25 07:56:03,176 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 11:42:42, time: 1.013, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8727, aux.loss_ce: 0.0291, aux.acc_seg: 97.0767, loss: 0.0803 2023-02-25 07:56:50,671 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 11:41:52, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9223, aux.loss_ce: 0.0292, aux.acc_seg: 97.0540, loss: 0.0792 2023-02-25 07:57:38,314 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 11:41:03, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9046, aux.loss_ce: 0.0295, aux.acc_seg: 97.0499, loss: 0.0800 2023-02-25 07:58:25,761 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 11:40:14, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9388, aux.loss_ce: 0.0289, aux.acc_seg: 97.1015, loss: 0.0788 2023-02-25 07:59:16,660 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 11:39:27, time: 1.018, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8964, aux.loss_ce: 0.0292, aux.acc_seg: 97.0444, loss: 0.0796 2023-02-25 08:00:04,495 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 11:38:38, time: 0.957, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8977, aux.loss_ce: 0.0279, aux.acc_seg: 97.1870, loss: 0.0786 2023-02-25 08:00:52,518 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 11:37:49, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0531, decode.acc_seg: 97.8169, aux.loss_ce: 0.0296, aux.acc_seg: 97.0337, loss: 0.0827 2023-02-25 08:01:43,304 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:01:43,305 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 11:37:01, time: 1.016, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.8034, aux.loss_ce: 0.0288, aux.acc_seg: 97.1114, loss: 0.0820 2023-02-25 08:02:30,889 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 11:36:12, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9731, aux.loss_ce: 0.0283, aux.acc_seg: 97.1506, loss: 0.0770 2023-02-25 08:03:18,674 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 11:35:23, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8996, aux.loss_ce: 0.0283, aux.acc_seg: 97.1335, loss: 0.0788 2023-02-25 08:04:06,093 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 11:34:34, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8646, aux.loss_ce: 0.0289, aux.acc_seg: 97.0923, loss: 0.0803 2023-02-25 08:04:56,816 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 11:33:46, time: 1.014, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9016, aux.loss_ce: 0.0287, aux.acc_seg: 97.0745, loss: 0.0790 2023-02-25 08:05:44,644 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 11:32:57, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8862, aux.loss_ce: 0.0289, aux.acc_seg: 97.0779, loss: 0.0795 2023-02-25 08:06:32,529 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 11:32:08, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8219, aux.loss_ce: 0.0288, aux.acc_seg: 97.0641, loss: 0.0811 2023-02-25 08:07:20,020 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 11:31:19, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8552, aux.loss_ce: 0.0292, aux.acc_seg: 97.0382, loss: 0.0810 2023-02-25 08:08:10,195 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 11:30:31, time: 1.003, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9454, aux.loss_ce: 0.0288, aux.acc_seg: 97.0754, loss: 0.0781 2023-02-25 08:08:57,872 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 11:29:42, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9594, aux.loss_ce: 0.0283, aux.acc_seg: 97.1308, loss: 0.0773 2023-02-25 08:09:45,498 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 11:28:53, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7816, aux.loss_ce: 0.0289, aux.acc_seg: 97.0941, loss: 0.0829 2023-02-25 08:10:32,947 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 11:28:04, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8648, aux.loss_ce: 0.0290, aux.acc_seg: 97.0754, loss: 0.0807 2023-02-25 08:11:23,502 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 11:27:16, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9302, aux.loss_ce: 0.0284, aux.acc_seg: 97.1403, loss: 0.0784 2023-02-25 08:12:11,120 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 11:26:27, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8930, aux.loss_ce: 0.0284, aux.acc_seg: 97.1216, loss: 0.0787 2023-02-25 08:12:58,884 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 11:25:38, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9117, aux.loss_ce: 0.0289, aux.acc_seg: 97.1056, loss: 0.0795 2023-02-25 08:13:49,192 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 11:24:50, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9806, aux.loss_ce: 0.0277, aux.acc_seg: 97.1992, loss: 0.0762 2023-02-25 08:14:36,759 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 11:24:01, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8964, aux.loss_ce: 0.0281, aux.acc_seg: 97.1455, loss: 0.0787 2023-02-25 08:15:24,486 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 11:23:12, time: 0.955, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8856, aux.loss_ce: 0.0282, aux.acc_seg: 97.1234, loss: 0.0787 2023-02-25 08:16:12,067 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 11:22:23, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9565, aux.loss_ce: 0.0275, aux.acc_seg: 97.2159, loss: 0.0765 2023-02-25 08:17:02,781 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 11:21:35, time: 1.014, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8741, aux.loss_ce: 0.0293, aux.acc_seg: 97.0636, loss: 0.0808 2023-02-25 08:17:50,355 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:17:50,355 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 11:20:46, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8948, aux.loss_ce: 0.0289, aux.acc_seg: 97.1047, loss: 0.0800 2023-02-25 08:18:38,016 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 11:19:57, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8637, aux.loss_ce: 0.0286, aux.acc_seg: 97.1368, loss: 0.0806 2023-02-25 08:19:25,541 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 11:19:08, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9335, aux.loss_ce: 0.0280, aux.acc_seg: 97.1655, loss: 0.0776 2023-02-25 08:20:16,189 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 11:18:21, time: 1.013, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8388, aux.loss_ce: 0.0285, aux.acc_seg: 97.1311, loss: 0.0805 2023-02-25 08:21:03,853 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 11:17:32, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8996, aux.loss_ce: 0.0287, aux.acc_seg: 97.1155, loss: 0.0794 2023-02-25 08:21:51,344 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 11:16:43, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9286, aux.loss_ce: 0.0288, aux.acc_seg: 97.1027, loss: 0.0790 2023-02-25 08:22:42,247 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 11:15:55, time: 1.018, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9088, aux.loss_ce: 0.0285, aux.acc_seg: 97.1250, loss: 0.0791 2023-02-25 08:23:29,772 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 11:15:06, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8632, aux.loss_ce: 0.0285, aux.acc_seg: 97.1173, loss: 0.0801 2023-02-25 08:24:17,161 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 11:14:17, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9057, aux.loss_ce: 0.0283, aux.acc_seg: 97.1352, loss: 0.0788 2023-02-25 08:25:04,764 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 11:13:28, time: 0.952, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9373, aux.loss_ce: 0.0280, aux.acc_seg: 97.1874, loss: 0.0777 2023-02-25 08:25:55,298 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 11:12:40, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9318, aux.loss_ce: 0.0280, aux.acc_seg: 97.1660, loss: 0.0776 2023-02-25 08:26:42,677 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 11:11:51, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8922, aux.loss_ce: 0.0280, aux.acc_seg: 97.1495, loss: 0.0784 2023-02-25 08:27:30,472 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 11:11:02, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.7359, aux.loss_ce: 0.0294, aux.acc_seg: 96.9828, loss: 0.0834 2023-02-25 08:28:17,858 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 11:10:13, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9477, aux.loss_ce: 0.0282, aux.acc_seg: 97.1623, loss: 0.0777 2023-02-25 08:29:08,656 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 11:09:25, time: 1.016, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.9005, aux.loss_ce: 0.0284, aux.acc_seg: 97.1486, loss: 0.0793 2023-02-25 08:29:56,842 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 11:08:36, time: 0.964, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8965, aux.loss_ce: 0.0284, aux.acc_seg: 97.1310, loss: 0.0792 2023-02-25 08:30:45,542 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 11:07:47, time: 0.974, data_time: 0.021, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8907, aux.loss_ce: 0.0288, aux.acc_seg: 97.0968, loss: 0.0797 2023-02-25 08:31:33,211 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 11:06:58, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9413, aux.loss_ce: 0.0272, aux.acc_seg: 97.2612, loss: 0.0772 2023-02-25 08:32:23,625 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 11:06:10, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9449, aux.loss_ce: 0.0284, aux.acc_seg: 97.1298, loss: 0.0778 2023-02-25 08:33:11,204 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 11:05:21, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9410, aux.loss_ce: 0.0282, aux.acc_seg: 97.1504, loss: 0.0777 2023-02-25 08:33:58,914 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:33:58,914 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 11:04:33, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8173, aux.loss_ce: 0.0292, aux.acc_seg: 97.0560, loss: 0.0815 2023-02-25 08:34:49,378 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 11:03:45, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8362, aux.loss_ce: 0.0283, aux.acc_seg: 97.1484, loss: 0.0805 2023-02-25 08:35:37,028 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 11:02:56, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9111, aux.loss_ce: 0.0290, aux.acc_seg: 97.0812, loss: 0.0793 2023-02-25 08:36:25,378 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 11:02:07, time: 0.967, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9245, aux.loss_ce: 0.0274, aux.acc_seg: 97.2200, loss: 0.0774 2023-02-25 08:37:12,984 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 11:01:18, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8386, aux.loss_ce: 0.0284, aux.acc_seg: 97.1197, loss: 0.0802 2023-02-25 08:38:03,137 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 11:00:30, time: 1.003, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8189, aux.loss_ce: 0.0290, aux.acc_seg: 97.0451, loss: 0.0810 2023-02-25 08:38:50,551 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 10:59:41, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9044, aux.loss_ce: 0.0285, aux.acc_seg: 97.1235, loss: 0.0789 2023-02-25 08:39:38,241 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 10:58:52, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8687, aux.loss_ce: 0.0286, aux.acc_seg: 97.0959, loss: 0.0795 2023-02-25 08:40:26,036 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 10:58:03, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9440, aux.loss_ce: 0.0282, aux.acc_seg: 97.1387, loss: 0.0776 2023-02-25 08:41:16,495 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 10:57:15, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8673, aux.loss_ce: 0.0290, aux.acc_seg: 97.0681, loss: 0.0801 2023-02-25 08:42:03,927 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 10:56:26, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8238, aux.loss_ce: 0.0290, aux.acc_seg: 97.0635, loss: 0.0815 2023-02-25 08:42:51,382 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 10:55:37, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0540, decode.acc_seg: 97.8201, aux.loss_ce: 0.0290, aux.acc_seg: 97.1002, loss: 0.0829 2023-02-25 08:43:42,134 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 10:54:49, time: 1.015, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8936, aux.loss_ce: 0.0279, aux.acc_seg: 97.1883, loss: 0.0788 2023-02-25 08:44:30,532 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 10:54:00, time: 0.968, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8359, aux.loss_ce: 0.0297, aux.acc_seg: 97.0130, loss: 0.0820 2023-02-25 08:45:18,493 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 10:53:11, time: 0.959, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8730, aux.loss_ce: 0.0286, aux.acc_seg: 97.1140, loss: 0.0800 2023-02-25 08:46:06,389 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 10:52:22, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9035, aux.loss_ce: 0.0280, aux.acc_seg: 97.1691, loss: 0.0785 2023-02-25 08:46:56,733 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 10:51:34, time: 1.007, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8810, aux.loss_ce: 0.0288, aux.acc_seg: 97.0897, loss: 0.0796 2023-02-25 08:47:44,535 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 10:50:46, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.9002, aux.loss_ce: 0.0286, aux.acc_seg: 97.1357, loss: 0.0795 2023-02-25 08:48:32,105 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 10:49:57, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9417, aux.loss_ce: 0.0284, aux.acc_seg: 97.1326, loss: 0.0779 2023-02-25 08:49:19,800 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 10:49:08, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.8981, aux.loss_ce: 0.0277, aux.acc_seg: 97.1828, loss: 0.0780 2023-02-25 08:50:10,351 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:50:10,352 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 10:48:20, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9383, aux.loss_ce: 0.0276, aux.acc_seg: 97.2203, loss: 0.0775 2023-02-25 08:50:58,275 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 10:47:31, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8642, aux.loss_ce: 0.0285, aux.acc_seg: 97.1208, loss: 0.0801 2023-02-25 08:51:46,043 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 10:46:42, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9175, aux.loss_ce: 0.0280, aux.acc_seg: 97.1670, loss: 0.0780 2023-02-25 08:52:33,519 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 10:45:53, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9364, aux.loss_ce: 0.0275, aux.acc_seg: 97.2181, loss: 0.0774 2023-02-25 08:53:24,226 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 10:45:05, time: 1.014, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.9050, aux.loss_ce: 0.0285, aux.acc_seg: 97.1371, loss: 0.0792 2023-02-25 08:54:11,842 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 10:44:16, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8918, aux.loss_ce: 0.0285, aux.acc_seg: 97.1261, loss: 0.0795 2023-02-25 08:54:59,604 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 10:43:27, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9203, aux.loss_ce: 0.0282, aux.acc_seg: 97.1657, loss: 0.0787 2023-02-25 08:55:50,093 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 10:42:39, time: 1.010, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8243, aux.loss_ce: 0.0288, aux.acc_seg: 97.0691, loss: 0.0809 2023-02-25 08:56:38,167 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 10:41:50, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8841, aux.loss_ce: 0.0290, aux.acc_seg: 97.0731, loss: 0.0802 2023-02-25 08:57:25,691 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 10:41:01, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9009, aux.loss_ce: 0.0282, aux.acc_seg: 97.1424, loss: 0.0786 2023-02-25 08:58:13,416 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 10:40:12, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8491, aux.loss_ce: 0.0287, aux.acc_seg: 97.0841, loss: 0.0803 2023-02-25 08:59:04,593 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 10:39:25, time: 1.023, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9553, aux.loss_ce: 0.0275, aux.acc_seg: 97.2238, loss: 0.0770 2023-02-25 08:59:52,650 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 10:38:36, time: 0.961, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9693, aux.loss_ce: 0.0277, aux.acc_seg: 97.2022, loss: 0.0767 2023-02-25 09:00:41,080 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 10:37:47, time: 0.969, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9160, aux.loss_ce: 0.0289, aux.acc_seg: 97.0761, loss: 0.0788 2023-02-25 09:01:28,623 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 10:36:58, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9156, aux.loss_ce: 0.0278, aux.acc_seg: 97.1903, loss: 0.0779 2023-02-25 09:02:19,105 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 10:36:10, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 98.0005, aux.loss_ce: 0.0280, aux.acc_seg: 97.1638, loss: 0.0759 2023-02-25 09:03:06,647 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 10:35:21, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9000, aux.loss_ce: 0.0286, aux.acc_seg: 97.1125, loss: 0.0789 2023-02-25 09:03:54,207 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 10:34:32, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9432, aux.loss_ce: 0.0289, aux.acc_seg: 97.0969, loss: 0.0786 2023-02-25 09:04:42,002 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 10:33:43, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9786, aux.loss_ce: 0.0284, aux.acc_seg: 97.1311, loss: 0.0768 2023-02-25 09:05:32,453 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 10:32:55, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9608, aux.loss_ce: 0.0287, aux.acc_seg: 97.1387, loss: 0.0780 2023-02-25 09:06:20,213 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:06:20,214 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 10:32:06, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8807, aux.loss_ce: 0.0283, aux.acc_seg: 97.1397, loss: 0.0792 2023-02-25 09:07:07,838 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 10:31:17, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8843, aux.loss_ce: 0.0287, aux.acc_seg: 97.0865, loss: 0.0794 2023-02-25 09:07:58,846 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 10:30:29, time: 1.020, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0532, decode.acc_seg: 97.7922, aux.loss_ce: 0.0300, aux.acc_seg: 96.9760, loss: 0.0832 2023-02-25 09:08:46,436 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 10:29:41, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8361, aux.loss_ce: 0.0287, aux.acc_seg: 97.0954, loss: 0.0808 2023-02-25 09:09:33,941 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 10:28:52, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9112, aux.loss_ce: 0.0280, aux.acc_seg: 97.1619, loss: 0.0783 2023-02-25 09:10:21,383 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 10:28:03, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9290, aux.loss_ce: 0.0279, aux.acc_seg: 97.1853, loss: 0.0776 2023-02-25 09:11:11,798 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 10:27:14, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9043, aux.loss_ce: 0.0290, aux.acc_seg: 97.0686, loss: 0.0796 2023-02-25 09:11:59,393 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 10:26:26, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9409, aux.loss_ce: 0.0287, aux.acc_seg: 97.0982, loss: 0.0781 2023-02-25 09:12:46,957 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 10:25:37, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8516, aux.loss_ce: 0.0279, aux.acc_seg: 97.1740, loss: 0.0794 2023-02-25 09:13:34,490 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 10:24:48, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8669, aux.loss_ce: 0.0281, aux.acc_seg: 97.1382, loss: 0.0793 2023-02-25 09:14:24,808 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 10:24:00, time: 1.006, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9328, aux.loss_ce: 0.0277, aux.acc_seg: 97.1989, loss: 0.0773 2023-02-25 09:15:12,276 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 10:23:11, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8839, aux.loss_ce: 0.0284, aux.acc_seg: 97.1265, loss: 0.0794 2023-02-25 09:15:59,643 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 10:22:22, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8802, aux.loss_ce: 0.0289, aux.acc_seg: 97.0769, loss: 0.0797 2023-02-25 09:16:49,877 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 10:21:33, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9236, aux.loss_ce: 0.0274, aux.acc_seg: 97.2208, loss: 0.0771 2023-02-25 09:17:37,294 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 10:20:44, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9298, aux.loss_ce: 0.0282, aux.acc_seg: 97.1522, loss: 0.0777 2023-02-25 09:18:24,852 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 10:19:55, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8748, aux.loss_ce: 0.0287, aux.acc_seg: 97.1103, loss: 0.0797 2023-02-25 09:19:12,396 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 10:19:06, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9659, aux.loss_ce: 0.0283, aux.acc_seg: 97.1849, loss: 0.0775 2023-02-25 09:20:02,996 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 10:18:18, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9664, aux.loss_ce: 0.0280, aux.acc_seg: 97.1637, loss: 0.0770 2023-02-25 09:20:50,863 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 10:17:30, time: 0.958, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8683, aux.loss_ce: 0.0288, aux.acc_seg: 97.1008, loss: 0.0800 2023-02-25 09:21:38,231 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 10:16:41, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8442, aux.loss_ce: 0.0296, aux.acc_seg: 97.0301, loss: 0.0820 2023-02-25 09:22:25,685 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:22:25,685 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 10:15:52, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9537, aux.loss_ce: 0.0286, aux.acc_seg: 97.1171, loss: 0.0779 2023-02-25 09:23:16,294 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 10:15:04, time: 1.012, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.7998, aux.loss_ce: 0.0293, aux.acc_seg: 97.0377, loss: 0.0820 2023-02-25 09:24:03,984 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 10:14:15, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9670, aux.loss_ce: 0.0279, aux.acc_seg: 97.1769, loss: 0.0765 2023-02-25 09:24:51,830 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 10:13:26, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8597, aux.loss_ce: 0.0278, aux.acc_seg: 97.1745, loss: 0.0789 2023-02-25 09:25:39,711 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 10:12:37, time: 0.958, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9459, aux.loss_ce: 0.0283, aux.acc_seg: 97.1705, loss: 0.0781 2023-02-25 09:26:30,068 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 10:11:49, time: 1.007, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8423, aux.loss_ce: 0.0284, aux.acc_seg: 97.1286, loss: 0.0804 2023-02-25 09:27:17,607 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 10:11:00, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8920, aux.loss_ce: 0.0288, aux.acc_seg: 97.1110, loss: 0.0795 2023-02-25 09:28:04,990 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 10:10:11, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8849, aux.loss_ce: 0.0290, aux.acc_seg: 97.0938, loss: 0.0802 2023-02-25 09:28:55,457 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 10:09:23, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.7887, aux.loss_ce: 0.0292, aux.acc_seg: 97.0136, loss: 0.0817 2023-02-25 09:29:42,991 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 10:08:34, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8855, aux.loss_ce: 0.0282, aux.acc_seg: 97.1640, loss: 0.0789 2023-02-25 09:30:30,731 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 10:07:45, time: 0.955, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9646, aux.loss_ce: 0.0279, aux.acc_seg: 97.1826, loss: 0.0769 2023-02-25 09:31:18,143 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 10:06:56, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9612, aux.loss_ce: 0.0279, aux.acc_seg: 97.1724, loss: 0.0768 2023-02-25 09:32:08,892 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 10:06:08, time: 1.015, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9885, aux.loss_ce: 0.0279, aux.acc_seg: 97.1697, loss: 0.0762 2023-02-25 09:32:56,390 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 10:05:19, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8516, aux.loss_ce: 0.0286, aux.acc_seg: 97.1071, loss: 0.0799 2023-02-25 09:33:44,073 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 10:04:30, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9137, aux.loss_ce: 0.0281, aux.acc_seg: 97.1445, loss: 0.0778 2023-02-25 09:34:32,057 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 10:03:41, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8895, aux.loss_ce: 0.0283, aux.acc_seg: 97.1268, loss: 0.0787 2023-02-25 09:35:22,435 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 10:02:53, time: 1.008, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0156, aux.loss_ce: 0.0269, aux.acc_seg: 97.2776, loss: 0.0743 2023-02-25 09:36:09,911 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 10:02:04, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9568, aux.loss_ce: 0.0283, aux.acc_seg: 97.1497, loss: 0.0773 2023-02-25 09:36:57,480 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 10:01:15, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0087, aux.loss_ce: 0.0279, aux.acc_seg: 97.1507, loss: 0.0753 2023-02-25 09:37:47,858 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 10:00:27, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9003, aux.loss_ce: 0.0280, aux.acc_seg: 97.1527, loss: 0.0781 2023-02-25 09:38:36,101 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:38:36,102 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 9:59:39, time: 0.965, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9509, aux.loss_ce: 0.0279, aux.acc_seg: 97.1784, loss: 0.0774 2023-02-25 09:39:23,622 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 9:58:50, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9260, aux.loss_ce: 0.0283, aux.acc_seg: 97.1261, loss: 0.0780 2023-02-25 09:40:11,138 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 9:58:01, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0527, decode.acc_seg: 97.8077, aux.loss_ce: 0.0289, aux.acc_seg: 97.0749, loss: 0.0816 2023-02-25 09:41:01,580 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 9:57:13, time: 1.009, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9096, aux.loss_ce: 0.0280, aux.acc_seg: 97.1609, loss: 0.0785 2023-02-25 09:41:49,260 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 9:56:24, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.7903, aux.loss_ce: 0.0287, aux.acc_seg: 97.0762, loss: 0.0815 2023-02-25 09:42:36,920 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 9:55:35, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9343, aux.loss_ce: 0.0281, aux.acc_seg: 97.1450, loss: 0.0774 2023-02-25 09:43:24,447 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 9:54:46, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8983, aux.loss_ce: 0.0281, aux.acc_seg: 97.1639, loss: 0.0785 2023-02-25 09:44:14,883 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 9:53:58, time: 1.008, data_time: 0.062, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9255, aux.loss_ce: 0.0276, aux.acc_seg: 97.1883, loss: 0.0770 2023-02-25 09:45:02,261 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 9:53:09, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9424, aux.loss_ce: 0.0281, aux.acc_seg: 97.1566, loss: 0.0777 2023-02-25 09:45:49,672 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 9:52:20, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8210, aux.loss_ce: 0.0285, aux.acc_seg: 97.0962, loss: 0.0805 2023-02-25 09:46:37,210 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 9:51:31, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.9002, aux.loss_ce: 0.0285, aux.acc_seg: 97.1553, loss: 0.0793 2023-02-25 09:47:28,109 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 9:50:43, time: 1.018, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0170, aux.loss_ce: 0.0279, aux.acc_seg: 97.1693, loss: 0.0756 2023-02-25 09:48:16,144 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 9:49:54, time: 0.961, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9030, aux.loss_ce: 0.0295, aux.acc_seg: 97.0599, loss: 0.0798 2023-02-25 09:49:04,012 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 9:49:05, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8525, aux.loss_ce: 0.0280, aux.acc_seg: 97.1686, loss: 0.0797 2023-02-25 09:49:54,706 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 9:48:17, time: 1.014, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9217, aux.loss_ce: 0.0279, aux.acc_seg: 97.1832, loss: 0.0782 2023-02-25 09:50:42,424 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 9:47:28, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8892, aux.loss_ce: 0.0277, aux.acc_seg: 97.2073, loss: 0.0786 2023-02-25 09:51:30,374 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 9:46:40, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8910, aux.loss_ce: 0.0282, aux.acc_seg: 97.1578, loss: 0.0790 2023-02-25 09:52:18,200 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 9:45:51, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9103, aux.loss_ce: 0.0279, aux.acc_seg: 97.1756, loss: 0.0778 2023-02-25 09:53:09,472 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 9:45:03, time: 1.025, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9563, aux.loss_ce: 0.0276, aux.acc_seg: 97.2182, loss: 0.0768 2023-02-25 09:53:57,306 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 9:44:14, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8659, aux.loss_ce: 0.0285, aux.acc_seg: 97.1161, loss: 0.0796 2023-02-25 09:54:45,326 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:54:45,327 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 9:43:25, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0520, decode.acc_seg: 97.8423, aux.loss_ce: 0.0287, aux.acc_seg: 97.1021, loss: 0.0806 2023-02-25 09:55:32,959 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 9:42:36, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0170, aux.loss_ce: 0.0275, aux.acc_seg: 97.2261, loss: 0.0752 2023-02-25 09:56:23,320 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 9:41:48, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8850, aux.loss_ce: 0.0280, aux.acc_seg: 97.1744, loss: 0.0791 2023-02-25 09:57:11,528 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 9:40:59, time: 0.964, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8867, aux.loss_ce: 0.0287, aux.acc_seg: 97.1138, loss: 0.0798 2023-02-25 09:57:59,119 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 9:40:11, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8841, aux.loss_ce: 0.0283, aux.acc_seg: 97.1231, loss: 0.0790 2023-02-25 09:58:49,501 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 9:39:22, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9248, aux.loss_ce: 0.0275, aux.acc_seg: 97.2139, loss: 0.0774 2023-02-25 09:59:37,664 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 9:38:34, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9807, aux.loss_ce: 0.0277, aux.acc_seg: 97.1977, loss: 0.0763 2023-02-25 10:00:25,237 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 9:37:45, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0524, decode.acc_seg: 97.8243, aux.loss_ce: 0.0292, aux.acc_seg: 97.0533, loss: 0.0815 2023-02-25 10:01:12,884 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 9:36:56, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.8980, aux.loss_ce: 0.0281, aux.acc_seg: 97.1390, loss: 0.0782 2023-02-25 10:02:03,294 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 9:36:08, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9401, aux.loss_ce: 0.0288, aux.acc_seg: 97.0938, loss: 0.0784 2023-02-25 10:02:51,375 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 9:35:19, time: 0.962, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9869, aux.loss_ce: 0.0282, aux.acc_seg: 97.1370, loss: 0.0762 2023-02-25 10:03:38,939 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 9:34:30, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9690, aux.loss_ce: 0.0274, aux.acc_seg: 97.2092, loss: 0.0754 2023-02-25 10:04:26,450 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 9:33:41, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9591, aux.loss_ce: 0.0273, aux.acc_seg: 97.2125, loss: 0.0763 2023-02-25 10:05:16,918 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 9:32:53, time: 1.009, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9180, aux.loss_ce: 0.0276, aux.acc_seg: 97.1932, loss: 0.0775 2023-02-25 10:06:04,499 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 9:32:04, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8975, aux.loss_ce: 0.0289, aux.acc_seg: 97.1333, loss: 0.0797 2023-02-25 10:06:52,294 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 9:31:15, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.8998, aux.loss_ce: 0.0283, aux.acc_seg: 97.1303, loss: 0.0786 2023-02-25 10:07:40,021 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 9:30:26, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8265, aux.loss_ce: 0.0283, aux.acc_seg: 97.1385, loss: 0.0806 2023-02-25 10:08:31,527 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 9:29:39, time: 1.030, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8816, aux.loss_ce: 0.0283, aux.acc_seg: 97.1429, loss: 0.0792 2023-02-25 10:09:19,163 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 9:28:50, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9121, aux.loss_ce: 0.0275, aux.acc_seg: 97.2083, loss: 0.0775 2023-02-25 10:10:07,209 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 9:28:01, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9509, aux.loss_ce: 0.0277, aux.acc_seg: 97.1963, loss: 0.0769 2023-02-25 10:10:57,962 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:10:57,962 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 9:27:13, time: 1.016, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9142, aux.loss_ce: 0.0292, aux.acc_seg: 97.0331, loss: 0.0793 2023-02-25 10:11:45,364 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 9:26:24, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8942, aux.loss_ce: 0.0275, aux.acc_seg: 97.2105, loss: 0.0780 2023-02-25 10:12:32,780 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 9:25:35, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9915, aux.loss_ce: 0.0272, aux.acc_seg: 97.2443, loss: 0.0755 2023-02-25 10:13:20,731 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 9:24:46, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9297, aux.loss_ce: 0.0288, aux.acc_seg: 97.0940, loss: 0.0788 2023-02-25 10:14:11,117 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 9:23:58, time: 1.008, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8875, aux.loss_ce: 0.0287, aux.acc_seg: 97.0730, loss: 0.0793 2023-02-25 10:14:58,942 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 9:23:09, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8782, aux.loss_ce: 0.0280, aux.acc_seg: 97.1753, loss: 0.0791 2023-02-25 10:15:46,832 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 9:22:20, time: 0.958, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9262, aux.loss_ce: 0.0283, aux.acc_seg: 97.1417, loss: 0.0783 2023-02-25 10:16:34,280 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 9:21:31, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9196, aux.loss_ce: 0.0282, aux.acc_seg: 97.1431, loss: 0.0780 2023-02-25 10:17:25,235 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 9:20:44, time: 1.019, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9264, aux.loss_ce: 0.0278, aux.acc_seg: 97.1844, loss: 0.0777 2023-02-25 10:18:13,038 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 9:19:55, time: 0.956, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0198, aux.loss_ce: 0.0271, aux.acc_seg: 97.2809, loss: 0.0749 2023-02-25 10:19:00,840 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 9:19:06, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9654, aux.loss_ce: 0.0274, aux.acc_seg: 97.2454, loss: 0.0763 2023-02-25 10:19:48,367 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 9:18:17, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9359, aux.loss_ce: 0.0290, aux.acc_seg: 97.0445, loss: 0.0784 2023-02-25 10:20:39,190 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 9:17:29, time: 1.017, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9787, aux.loss_ce: 0.0280, aux.acc_seg: 97.1728, loss: 0.0764 2023-02-25 10:21:27,268 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 9:16:40, time: 0.962, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9079, aux.loss_ce: 0.0277, aux.acc_seg: 97.1981, loss: 0.0779 2023-02-25 10:22:15,192 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 9:15:51, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8554, aux.loss_ce: 0.0287, aux.acc_seg: 97.1068, loss: 0.0802 2023-02-25 10:23:05,720 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 9:15:03, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9318, aux.loss_ce: 0.0276, aux.acc_seg: 97.1983, loss: 0.0771 2023-02-25 10:23:53,297 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 9:14:14, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9063, aux.loss_ce: 0.0280, aux.acc_seg: 97.1599, loss: 0.0785 2023-02-25 10:24:41,367 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 9:13:26, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9871, aux.loss_ce: 0.0273, aux.acc_seg: 97.2291, loss: 0.0756 2023-02-25 10:25:29,034 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 9:12:37, time: 0.954, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8743, aux.loss_ce: 0.0281, aux.acc_seg: 97.1369, loss: 0.0792 2023-02-25 10:26:19,913 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 9:11:49, time: 1.017, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9418, aux.loss_ce: 0.0278, aux.acc_seg: 97.1952, loss: 0.0773 2023-02-25 10:27:07,747 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:27:07,748 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 9:11:00, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8748, aux.loss_ce: 0.0284, aux.acc_seg: 97.1141, loss: 0.0794 2023-02-25 10:27:55,216 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 9:10:11, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.8940, aux.loss_ce: 0.0280, aux.acc_seg: 97.1556, loss: 0.0783 2023-02-25 10:28:42,718 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 9:09:22, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8883, aux.loss_ce: 0.0278, aux.acc_seg: 97.2160, loss: 0.0788 2023-02-25 10:29:33,407 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 9:08:34, time: 1.013, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9354, aux.loss_ce: 0.0275, aux.acc_seg: 97.2160, loss: 0.0767 2023-02-25 10:30:21,100 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 9:07:45, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0539, decode.acc_seg: 97.7461, aux.loss_ce: 0.0295, aux.acc_seg: 97.0131, loss: 0.0834 2023-02-25 10:31:08,745 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 9:06:56, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9635, aux.loss_ce: 0.0283, aux.acc_seg: 97.1401, loss: 0.0773 2023-02-25 10:31:58,948 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 9:06:08, time: 1.004, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9577, aux.loss_ce: 0.0281, aux.acc_seg: 97.1682, loss: 0.0776 2023-02-25 10:32:46,783 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 9:05:19, time: 0.957, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0039, aux.loss_ce: 0.0272, aux.acc_seg: 97.2396, loss: 0.0748 2023-02-25 10:33:34,499 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 9:04:30, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9831, aux.loss_ce: 0.0275, aux.acc_seg: 97.1984, loss: 0.0758 2023-02-25 10:34:22,225 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 9:03:41, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8747, aux.loss_ce: 0.0277, aux.acc_seg: 97.2173, loss: 0.0790 2023-02-25 10:35:12,692 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 9:02:53, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9033, aux.loss_ce: 0.0283, aux.acc_seg: 97.1215, loss: 0.0783 2023-02-25 10:36:00,599 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 9:02:05, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9097, aux.loss_ce: 0.0288, aux.acc_seg: 97.0958, loss: 0.0792 2023-02-25 10:36:48,253 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 9:01:16, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0185, aux.loss_ce: 0.0268, aux.acc_seg: 97.2929, loss: 0.0744 2023-02-25 10:37:35,726 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 9:00:27, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9227, aux.loss_ce: 0.0282, aux.acc_seg: 97.1351, loss: 0.0779 2023-02-25 10:38:26,079 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 8:59:39, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9045, aux.loss_ce: 0.0276, aux.acc_seg: 97.2009, loss: 0.0778 2023-02-25 10:39:13,897 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 8:58:50, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9330, aux.loss_ce: 0.0286, aux.acc_seg: 97.1177, loss: 0.0783 2023-02-25 10:40:02,179 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 8:58:01, time: 0.965, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8821, aux.loss_ce: 0.0278, aux.acc_seg: 97.1784, loss: 0.0788 2023-02-25 10:40:49,659 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 8:57:12, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9841, aux.loss_ce: 0.0273, aux.acc_seg: 97.2359, loss: 0.0757 2023-02-25 10:41:41,023 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 8:56:24, time: 1.027, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.9041, aux.loss_ce: 0.0290, aux.acc_seg: 97.0742, loss: 0.0797 2023-02-25 10:42:29,025 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 8:55:35, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9052, aux.loss_ce: 0.0280, aux.acc_seg: 97.1482, loss: 0.0780 2023-02-25 10:43:17,554 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:43:17,554 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 8:54:47, time: 0.971, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8859, aux.loss_ce: 0.0280, aux.acc_seg: 97.1642, loss: 0.0788 2023-02-25 10:44:07,861 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 8:53:59, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0561, aux.loss_ce: 0.0269, aux.acc_seg: 97.2929, loss: 0.0737 2023-02-25 10:44:55,380 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 8:53:10, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9566, aux.loss_ce: 0.0274, aux.acc_seg: 97.2139, loss: 0.0762 2023-02-25 10:45:43,091 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 8:52:21, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8966, aux.loss_ce: 0.0282, aux.acc_seg: 97.1391, loss: 0.0787 2023-02-25 10:46:30,549 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 8:51:32, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8569, aux.loss_ce: 0.0284, aux.acc_seg: 97.1071, loss: 0.0797 2023-02-25 10:47:20,973 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 8:50:44, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 98.0031, aux.loss_ce: 0.0271, aux.acc_seg: 97.2565, loss: 0.0752 2023-02-25 10:48:08,665 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 8:49:55, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8693, aux.loss_ce: 0.0289, aux.acc_seg: 97.0781, loss: 0.0800 2023-02-25 10:48:56,236 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 8:49:06, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0130, aux.loss_ce: 0.0275, aux.acc_seg: 97.2052, loss: 0.0753 2023-02-25 10:49:43,996 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 8:48:17, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9055, aux.loss_ce: 0.0281, aux.acc_seg: 97.1579, loss: 0.0783 2023-02-25 10:50:35,455 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 8:47:29, time: 1.029, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9169, aux.loss_ce: 0.0276, aux.acc_seg: 97.1844, loss: 0.0775 2023-02-25 10:51:23,089 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 8:46:40, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9386, aux.loss_ce: 0.0272, aux.acc_seg: 97.2304, loss: 0.0764 2023-02-25 10:52:10,688 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 8:45:52, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9730, aux.loss_ce: 0.0272, aux.acc_seg: 97.2497, loss: 0.0759 2023-02-25 10:53:00,899 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 8:45:03, time: 1.004, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8484, aux.loss_ce: 0.0283, aux.acc_seg: 97.1306, loss: 0.0797 2023-02-25 10:53:48,451 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 8:44:15, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9647, aux.loss_ce: 0.0281, aux.acc_seg: 97.1684, loss: 0.0769 2023-02-25 10:54:36,053 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 8:43:26, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8889, aux.loss_ce: 0.0284, aux.acc_seg: 97.1197, loss: 0.0793 2023-02-25 10:55:23,930 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 8:42:37, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9123, aux.loss_ce: 0.0280, aux.acc_seg: 97.1790, loss: 0.0783 2023-02-25 10:56:14,452 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 8:41:49, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8738, aux.loss_ce: 0.0277, aux.acc_seg: 97.2030, loss: 0.0790 2023-02-25 10:57:02,184 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 8:41:00, time: 0.955, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9389, aux.loss_ce: 0.0276, aux.acc_seg: 97.2160, loss: 0.0771 2023-02-25 10:57:50,356 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 8:40:11, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9398, aux.loss_ce: 0.0277, aux.acc_seg: 97.1789, loss: 0.0769 2023-02-25 10:58:37,860 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 8:39:22, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8533, aux.loss_ce: 0.0284, aux.acc_seg: 97.1291, loss: 0.0799 2023-02-25 10:59:28,355 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-02-25 10:59:30,575 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:59:30,576 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 8:38:35, time: 1.054, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9011, aux.loss_ce: 0.0288, aux.acc_seg: 97.0875, loss: 0.0794 2023-02-25 11:00:28,434 - mmseg - INFO - per class results: 2023-02-25 11:00:28,448 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.57 | 99.32 | | sidewalk | 88.09 | 93.0 | | building | 93.53 | 97.1 | | wall | 60.29 | 63.14 | | fence | 66.37 | 72.47 | | pole | 72.37 | 81.79 | | traffic light | 76.01 | 86.72 | | traffic sign | 83.77 | 90.95 | | vegetation | 93.34 | 97.21 | | terrain | 69.37 | 78.86 | | sky | 95.45 | 98.41 | | person | 85.17 | 94.58 | | rider | 67.2 | 77.95 | | car | 95.56 | 98.37 | | truck | 72.25 | 74.83 | | bus | 92.04 | 96.1 | | train | 86.56 | 88.13 | | motorcycle | 71.77 | 80.7 | | bicycle | 81.69 | 91.09 | +---------------+-------+-------+ 2023-02-25 11:00:28,449 - mmseg - INFO - Summary: 2023-02-25 11:00:28,449 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.76 | 81.55 | 87.41 | +-------+-------+-------+ 2023-02-25 11:00:28,449 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:00:28,450 - mmseg - INFO - Iter(val) [125] aAcc: 0.9676, mIoU: 0.8155, mAcc: 0.8741, IoU.road: 0.9857, IoU.sidewalk: 0.8809, IoU.building: 0.9353, IoU.wall: 0.6029, IoU.fence: 0.6637, IoU.pole: 0.7237, IoU.traffic light: 0.7601, IoU.traffic sign: 0.8377, IoU.vegetation: 0.9334, IoU.terrain: 0.6937, IoU.sky: 0.9545, IoU.person: 0.8517, IoU.rider: 0.6720, IoU.car: 0.9556, IoU.truck: 0.7225, IoU.bus: 0.9204, IoU.train: 0.8656, IoU.motorcycle: 0.7177, IoU.bicycle: 0.8169, Acc.road: 0.9932, Acc.sidewalk: 0.9300, Acc.building: 0.9710, Acc.wall: 0.6314, Acc.fence: 0.7247, Acc.pole: 0.8179, Acc.traffic light: 0.8672, Acc.traffic sign: 0.9095, Acc.vegetation: 0.9721, Acc.terrain: 0.7886, Acc.sky: 0.9841, Acc.person: 0.9458, Acc.rider: 0.7795, Acc.car: 0.9837, Acc.truck: 0.7483, Acc.bus: 0.9610, Acc.train: 0.8813, Acc.motorcycle: 0.8070, Acc.bicycle: 0.9109 2023-02-25 11:01:16,096 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 8:38:00, time: 2.110, data_time: 1.168, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9792, aux.loss_ce: 0.0271, aux.acc_seg: 97.2378, loss: 0.0754 2023-02-25 11:02:03,840 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 8:37:11, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0529, decode.acc_seg: 97.7974, aux.loss_ce: 0.0295, aux.acc_seg: 97.0545, loss: 0.0824 2023-02-25 11:02:51,642 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 8:36:23, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9023, aux.loss_ce: 0.0276, aux.acc_seg: 97.1852, loss: 0.0779 2023-02-25 11:03:41,953 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 8:35:34, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8779, aux.loss_ce: 0.0287, aux.acc_seg: 97.0670, loss: 0.0793 2023-02-25 11:04:29,617 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 8:34:45, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0519, decode.acc_seg: 97.8788, aux.loss_ce: 0.0277, aux.acc_seg: 97.1933, loss: 0.0796 2023-02-25 11:05:17,385 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 8:33:57, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9535, aux.loss_ce: 0.0275, aux.acc_seg: 97.2274, loss: 0.0770 2023-02-25 11:06:07,619 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 8:33:08, time: 1.005, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8901, aux.loss_ce: 0.0281, aux.acc_seg: 97.1754, loss: 0.0793 2023-02-25 11:06:55,279 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 8:32:19, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8909, aux.loss_ce: 0.0283, aux.acc_seg: 97.1439, loss: 0.0791 2023-02-25 11:07:43,607 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 8:31:31, time: 0.966, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9157, aux.loss_ce: 0.0276, aux.acc_seg: 97.2020, loss: 0.0777 2023-02-25 11:08:31,431 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 8:30:42, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0523, decode.acc_seg: 97.8549, aux.loss_ce: 0.0285, aux.acc_seg: 97.1576, loss: 0.0808 2023-02-25 11:09:21,888 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 8:29:54, time: 1.009, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9255, aux.loss_ce: 0.0292, aux.acc_seg: 97.0906, loss: 0.0795 2023-02-25 11:10:09,837 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 8:29:05, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0518, decode.acc_seg: 97.8438, aux.loss_ce: 0.0288, aux.acc_seg: 97.1036, loss: 0.0806 2023-02-25 11:10:57,499 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 8:28:16, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9240, aux.loss_ce: 0.0272, aux.acc_seg: 97.2365, loss: 0.0768 2023-02-25 11:11:45,227 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 8:27:27, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8493, aux.loss_ce: 0.0282, aux.acc_seg: 97.1634, loss: 0.0798 2023-02-25 11:12:35,806 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 8:26:39, time: 1.011, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8497, aux.loss_ce: 0.0286, aux.acc_seg: 97.0967, loss: 0.0803 2023-02-25 11:13:23,689 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 8:25:50, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8559, aux.loss_ce: 0.0277, aux.acc_seg: 97.1819, loss: 0.0789 2023-02-25 11:14:11,487 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 8:25:01, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9272, aux.loss_ce: 0.0279, aux.acc_seg: 97.1658, loss: 0.0776 2023-02-25 11:15:02,156 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 8:24:13, time: 1.014, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.7966, aux.loss_ce: 0.0290, aux.acc_seg: 97.0699, loss: 0.0819 2023-02-25 11:15:49,871 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 8:23:24, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8912, aux.loss_ce: 0.0275, aux.acc_seg: 97.2211, loss: 0.0780 2023-02-25 11:16:37,688 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:16:37,688 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 8:22:35, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9985, aux.loss_ce: 0.0280, aux.acc_seg: 97.1765, loss: 0.0761 2023-02-25 11:17:25,366 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 8:21:47, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8686, aux.loss_ce: 0.0279, aux.acc_seg: 97.1607, loss: 0.0790 2023-02-25 11:18:16,019 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 8:20:58, time: 1.014, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9380, aux.loss_ce: 0.0279, aux.acc_seg: 97.1696, loss: 0.0777 2023-02-25 11:19:03,630 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 8:20:10, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9103, aux.loss_ce: 0.0278, aux.acc_seg: 97.1945, loss: 0.0780 2023-02-25 11:19:51,300 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 8:19:21, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9863, aux.loss_ce: 0.0276, aux.acc_seg: 97.1875, loss: 0.0759 2023-02-25 11:20:39,128 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 8:18:32, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0516, decode.acc_seg: 97.8640, aux.loss_ce: 0.0294, aux.acc_seg: 97.0367, loss: 0.0810 2023-02-25 11:21:29,506 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 8:17:44, time: 1.008, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9416, aux.loss_ce: 0.0278, aux.acc_seg: 97.2275, loss: 0.0775 2023-02-25 11:22:17,218 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 8:16:55, time: 0.954, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9347, aux.loss_ce: 0.0276, aux.acc_seg: 97.2085, loss: 0.0772 2023-02-25 11:23:04,722 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 8:16:06, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9348, aux.loss_ce: 0.0278, aux.acc_seg: 97.1749, loss: 0.0775 2023-02-25 11:23:52,478 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 8:15:17, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9647, aux.loss_ce: 0.0275, aux.acc_seg: 97.2188, loss: 0.0764 2023-02-25 11:24:42,777 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 8:14:29, time: 1.006, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0296, aux.loss_ce: 0.0272, aux.acc_seg: 97.2461, loss: 0.0744 2023-02-25 11:25:30,289 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 8:13:40, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8614, aux.loss_ce: 0.0281, aux.acc_seg: 97.1543, loss: 0.0794 2023-02-25 11:26:18,268 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 8:12:51, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8944, aux.loss_ce: 0.0284, aux.acc_seg: 97.1224, loss: 0.0792 2023-02-25 11:27:08,954 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 8:12:03, time: 1.014, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9416, aux.loss_ce: 0.0282, aux.acc_seg: 97.1501, loss: 0.0776 2023-02-25 11:27:56,752 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 8:11:14, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0197, aux.loss_ce: 0.0268, aux.acc_seg: 97.2754, loss: 0.0744 2023-02-25 11:28:44,552 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 8:10:25, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0517, decode.acc_seg: 97.8421, aux.loss_ce: 0.0292, aux.acc_seg: 97.0421, loss: 0.0809 2023-02-25 11:29:32,511 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 8:09:36, time: 0.959, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0448, decode.acc_seg: 98.1283, aux.loss_ce: 0.0267, aux.acc_seg: 97.3038, loss: 0.0715 2023-02-25 11:30:23,341 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 8:08:48, time: 1.017, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9064, aux.loss_ce: 0.0281, aux.acc_seg: 97.1731, loss: 0.0786 2023-02-25 11:31:11,436 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 8:08:00, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8927, aux.loss_ce: 0.0283, aux.acc_seg: 97.1308, loss: 0.0787 2023-02-25 11:31:59,036 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 8:07:11, time: 0.952, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0118, aux.loss_ce: 0.0269, aux.acc_seg: 97.2753, loss: 0.0743 2023-02-25 11:32:46,486 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:32:46,487 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 8:06:22, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9480, aux.loss_ce: 0.0284, aux.acc_seg: 97.1127, loss: 0.0775 2023-02-25 11:33:36,839 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 8:05:34, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9272, aux.loss_ce: 0.0278, aux.acc_seg: 97.1691, loss: 0.0776 2023-02-25 11:34:24,418 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 8:04:45, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0528, decode.acc_seg: 97.8103, aux.loss_ce: 0.0291, aux.acc_seg: 97.0648, loss: 0.0819 2023-02-25 11:35:12,248 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 8:03:56, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8814, aux.loss_ce: 0.0281, aux.acc_seg: 97.1731, loss: 0.0787 2023-02-25 11:35:59,836 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 8:03:07, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9693, aux.loss_ce: 0.0267, aux.acc_seg: 97.2566, loss: 0.0752 2023-02-25 11:36:50,851 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 8:02:19, time: 1.020, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0526, decode.acc_seg: 97.8030, aux.loss_ce: 0.0283, aux.acc_seg: 97.1127, loss: 0.0809 2023-02-25 11:37:38,992 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 8:01:30, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9995, aux.loss_ce: 0.0271, aux.acc_seg: 97.2578, loss: 0.0754 2023-02-25 11:38:26,760 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 8:00:41, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9170, aux.loss_ce: 0.0280, aux.acc_seg: 97.1704, loss: 0.0780 2023-02-25 11:39:17,291 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 7:59:53, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.9016, aux.loss_ce: 0.0281, aux.acc_seg: 97.1714, loss: 0.0787 2023-02-25 11:40:05,378 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 7:59:04, time: 0.962, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9554, aux.loss_ce: 0.0276, aux.acc_seg: 97.2256, loss: 0.0768 2023-02-25 11:40:53,309 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 7:58:15, time: 0.959, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9399, aux.loss_ce: 0.0279, aux.acc_seg: 97.1529, loss: 0.0771 2023-02-25 11:41:41,000 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 7:57:27, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0513, decode.acc_seg: 97.8832, aux.loss_ce: 0.0288, aux.acc_seg: 97.1167, loss: 0.0801 2023-02-25 11:42:31,195 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 7:56:38, time: 1.004, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9200, aux.loss_ce: 0.0284, aux.acc_seg: 97.1515, loss: 0.0788 2023-02-25 11:43:18,641 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 7:55:49, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9151, aux.loss_ce: 0.0284, aux.acc_seg: 97.0920, loss: 0.0781 2023-02-25 11:44:06,246 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 7:55:01, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0510, decode.acc_seg: 97.8634, aux.loss_ce: 0.0281, aux.acc_seg: 97.1499, loss: 0.0791 2023-02-25 11:44:53,965 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 7:54:12, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9541, aux.loss_ce: 0.0280, aux.acc_seg: 97.1450, loss: 0.0771 2023-02-25 11:45:44,166 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 7:53:23, time: 1.004, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9864, aux.loss_ce: 0.0270, aux.acc_seg: 97.2735, loss: 0.0754 2023-02-25 11:46:31,629 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 7:52:35, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9853, aux.loss_ce: 0.0272, aux.acc_seg: 97.2276, loss: 0.0753 2023-02-25 11:47:19,017 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 7:51:46, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9642, aux.loss_ce: 0.0275, aux.acc_seg: 97.2225, loss: 0.0762 2023-02-25 11:48:09,586 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 7:50:57, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9291, aux.loss_ce: 0.0269, aux.acc_seg: 97.2718, loss: 0.0767 2023-02-25 11:48:57,145 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:48:57,146 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 7:50:09, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8882, aux.loss_ce: 0.0285, aux.acc_seg: 97.0998, loss: 0.0790 2023-02-25 11:49:44,923 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 7:49:20, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9953, aux.loss_ce: 0.0276, aux.acc_seg: 97.2084, loss: 0.0760 2023-02-25 11:50:33,149 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 7:48:31, time: 0.965, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8563, aux.loss_ce: 0.0286, aux.acc_seg: 97.0921, loss: 0.0798 2023-02-25 11:51:23,830 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 7:47:43, time: 1.014, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8826, aux.loss_ce: 0.0282, aux.acc_seg: 97.1422, loss: 0.0789 2023-02-25 11:52:11,470 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 7:46:54, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9603, aux.loss_ce: 0.0278, aux.acc_seg: 97.1810, loss: 0.0764 2023-02-25 11:52:59,355 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 7:46:05, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9734, aux.loss_ce: 0.0271, aux.acc_seg: 97.2673, loss: 0.0757 2023-02-25 11:53:47,198 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 7:45:16, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9591, aux.loss_ce: 0.0271, aux.acc_seg: 97.2355, loss: 0.0759 2023-02-25 11:54:38,284 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 7:44:28, time: 1.022, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9163, aux.loss_ce: 0.0278, aux.acc_seg: 97.1750, loss: 0.0777 2023-02-25 11:55:25,989 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 7:43:39, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8375, aux.loss_ce: 0.0289, aux.acc_seg: 97.1046, loss: 0.0811 2023-02-25 11:56:13,541 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 7:42:51, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9881, aux.loss_ce: 0.0276, aux.acc_seg: 97.2092, loss: 0.0758 2023-02-25 11:57:01,119 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 7:42:02, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8927, aux.loss_ce: 0.0279, aux.acc_seg: 97.2025, loss: 0.0790 2023-02-25 11:57:52,093 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 7:41:14, time: 1.019, data_time: 0.078, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0103, aux.loss_ce: 0.0277, aux.acc_seg: 97.2136, loss: 0.0755 2023-02-25 11:58:39,845 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 7:40:25, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8610, aux.loss_ce: 0.0288, aux.acc_seg: 97.0692, loss: 0.0799 2023-02-25 11:59:27,372 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 7:39:36, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9239, aux.loss_ce: 0.0273, aux.acc_seg: 97.2318, loss: 0.0770 2023-02-25 12:00:17,932 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 7:38:48, time: 1.012, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9939, aux.loss_ce: 0.0272, aux.acc_seg: 97.2465, loss: 0.0753 2023-02-25 12:01:05,638 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 7:37:59, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9393, aux.loss_ce: 0.0282, aux.acc_seg: 97.1366, loss: 0.0772 2023-02-25 12:01:53,337 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 7:37:10, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9321, aux.loss_ce: 0.0274, aux.acc_seg: 97.2289, loss: 0.0769 2023-02-25 12:02:41,212 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 7:36:21, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8683, aux.loss_ce: 0.0284, aux.acc_seg: 97.1247, loss: 0.0796 2023-02-25 12:03:31,395 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 7:35:33, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8870, aux.loss_ce: 0.0282, aux.acc_seg: 97.1569, loss: 0.0790 2023-02-25 12:04:19,298 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 7:34:44, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0011, aux.loss_ce: 0.0277, aux.acc_seg: 97.1910, loss: 0.0757 2023-02-25 12:05:07,188 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:05:07,189 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 7:33:55, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9497, aux.loss_ce: 0.0274, aux.acc_seg: 97.2471, loss: 0.0768 2023-02-25 12:05:54,942 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 7:33:06, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9458, aux.loss_ce: 0.0273, aux.acc_seg: 97.2151, loss: 0.0766 2023-02-25 12:06:45,425 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 7:32:18, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0521, decode.acc_seg: 97.8431, aux.loss_ce: 0.0289, aux.acc_seg: 97.1223, loss: 0.0810 2023-02-25 12:07:33,130 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 7:31:29, time: 0.954, data_time: 0.014, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8642, aux.loss_ce: 0.0282, aux.acc_seg: 97.1532, loss: 0.0796 2023-02-25 12:08:21,255 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 7:30:41, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0446, aux.loss_ce: 0.0266, aux.acc_seg: 97.2985, loss: 0.0733 2023-02-25 12:09:11,579 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 7:29:52, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9938, aux.loss_ce: 0.0269, aux.acc_seg: 97.2623, loss: 0.0751 2023-02-25 12:09:59,048 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 7:29:03, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9684, aux.loss_ce: 0.0279, aux.acc_seg: 97.1892, loss: 0.0767 2023-02-25 12:10:46,778 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 7:28:15, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9225, aux.loss_ce: 0.0283, aux.acc_seg: 97.1327, loss: 0.0782 2023-02-25 12:11:34,652 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 7:27:26, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0070, aux.loss_ce: 0.0273, aux.acc_seg: 97.2363, loss: 0.0751 2023-02-25 12:12:25,232 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 7:26:38, time: 1.012, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9021, aux.loss_ce: 0.0283, aux.acc_seg: 97.1255, loss: 0.0786 2023-02-25 12:13:13,427 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 7:25:49, time: 0.964, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9795, aux.loss_ce: 0.0271, aux.acc_seg: 97.2625, loss: 0.0756 2023-02-25 12:14:00,987 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 7:25:00, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9205, aux.loss_ce: 0.0282, aux.acc_seg: 97.1700, loss: 0.0786 2023-02-25 12:14:49,374 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 7:24:11, time: 0.968, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9261, aux.loss_ce: 0.0281, aux.acc_seg: 97.1603, loss: 0.0781 2023-02-25 12:15:39,725 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 7:23:23, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9001, aux.loss_ce: 0.0282, aux.acc_seg: 97.1330, loss: 0.0782 2023-02-25 12:16:27,562 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 7:22:34, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 98.0089, aux.loss_ce: 0.0278, aux.acc_seg: 97.2144, loss: 0.0757 2023-02-25 12:17:15,064 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 7:21:45, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.8990, aux.loss_ce: 0.0280, aux.acc_seg: 97.1545, loss: 0.0781 2023-02-25 12:18:02,552 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 7:20:57, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9319, aux.loss_ce: 0.0288, aux.acc_seg: 97.0793, loss: 0.0783 2023-02-25 12:18:53,073 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 7:20:08, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9455, aux.loss_ce: 0.0277, aux.acc_seg: 97.1943, loss: 0.0770 2023-02-25 12:19:40,921 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 7:19:19, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0065, aux.loss_ce: 0.0268, aux.acc_seg: 97.2864, loss: 0.0745 2023-02-25 12:20:28,586 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 7:18:31, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8844, aux.loss_ce: 0.0279, aux.acc_seg: 97.1672, loss: 0.0786 2023-02-25 12:21:19,106 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:21:19,106 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 7:17:42, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9279, aux.loss_ce: 0.0276, aux.acc_seg: 97.1905, loss: 0.0771 2023-02-25 12:22:07,245 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 7:16:54, time: 0.963, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9172, aux.loss_ce: 0.0279, aux.acc_seg: 97.1702, loss: 0.0781 2023-02-25 12:22:54,900 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 7:16:05, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0274, aux.loss_ce: 0.0272, aux.acc_seg: 97.2660, loss: 0.0748 2023-02-25 12:23:42,462 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 7:15:16, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9345, aux.loss_ce: 0.0279, aux.acc_seg: 97.1814, loss: 0.0777 2023-02-25 12:24:32,893 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 7:14:28, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9501, aux.loss_ce: 0.0276, aux.acc_seg: 97.2007, loss: 0.0769 2023-02-25 12:25:20,638 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 7:13:39, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0213, aux.loss_ce: 0.0273, aux.acc_seg: 97.2238, loss: 0.0747 2023-02-25 12:26:08,714 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 7:12:50, time: 0.961, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9394, aux.loss_ce: 0.0270, aux.acc_seg: 97.2451, loss: 0.0764 2023-02-25 12:26:56,637 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 7:12:01, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9628, aux.loss_ce: 0.0279, aux.acc_seg: 97.1777, loss: 0.0767 2023-02-25 12:27:47,583 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 7:11:13, time: 1.019, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9352, aux.loss_ce: 0.0274, aux.acc_seg: 97.2083, loss: 0.0767 2023-02-25 12:28:35,278 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 7:10:24, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 98.0039, aux.loss_ce: 0.0275, aux.acc_seg: 97.2326, loss: 0.0755 2023-02-25 12:29:22,859 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 7:09:36, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9376, aux.loss_ce: 0.0271, aux.acc_seg: 97.2528, loss: 0.0765 2023-02-25 12:30:13,915 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 7:08:47, time: 1.021, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9360, aux.loss_ce: 0.0278, aux.acc_seg: 97.1643, loss: 0.0773 2023-02-25 12:31:01,786 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 7:07:59, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9060, aux.loss_ce: 0.0282, aux.acc_seg: 97.1356, loss: 0.0784 2023-02-25 12:31:49,381 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 7:07:10, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 97.9922, aux.loss_ce: 0.0274, aux.acc_seg: 97.1947, loss: 0.0750 2023-02-25 12:32:36,957 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 7:06:21, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9811, aux.loss_ce: 0.0274, aux.acc_seg: 97.2272, loss: 0.0761 2023-02-25 12:33:27,324 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 7:05:33, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9582, aux.loss_ce: 0.0276, aux.acc_seg: 97.1910, loss: 0.0766 2023-02-25 12:34:14,962 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 7:04:44, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8652, aux.loss_ce: 0.0282, aux.acc_seg: 97.1505, loss: 0.0793 2023-02-25 12:35:02,661 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 7:03:55, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0021, aux.loss_ce: 0.0272, aux.acc_seg: 97.2331, loss: 0.0750 2023-02-25 12:35:50,205 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 7:03:06, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0143, aux.loss_ce: 0.0268, aux.acc_seg: 97.2922, loss: 0.0744 2023-02-25 12:36:41,033 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 7:02:18, time: 1.017, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9539, aux.loss_ce: 0.0276, aux.acc_seg: 97.2159, loss: 0.0768 2023-02-25 12:37:28,918 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:37:28,919 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 7:01:29, time: 0.958, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8953, aux.loss_ce: 0.0281, aux.acc_seg: 97.1461, loss: 0.0786 2023-02-25 12:38:16,436 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 7:00:40, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9987, aux.loss_ce: 0.0274, aux.acc_seg: 97.2221, loss: 0.0754 2023-02-25 12:39:03,924 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 6:59:51, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9112, aux.loss_ce: 0.0279, aux.acc_seg: 97.1566, loss: 0.0775 2023-02-25 12:39:54,459 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 6:59:03, time: 1.011, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9449, aux.loss_ce: 0.0279, aux.acc_seg: 97.1812, loss: 0.0774 2023-02-25 12:40:41,898 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 6:58:14, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8697, aux.loss_ce: 0.0283, aux.acc_seg: 97.1204, loss: 0.0791 2023-02-25 12:41:29,478 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 6:57:25, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9079, aux.loss_ce: 0.0270, aux.acc_seg: 97.2538, loss: 0.0769 2023-02-25 12:42:19,933 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 6:56:37, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9150, aux.loss_ce: 0.0281, aux.acc_seg: 97.1485, loss: 0.0783 2023-02-25 12:43:07,840 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 6:55:48, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.8860, aux.loss_ce: 0.0280, aux.acc_seg: 97.1335, loss: 0.0781 2023-02-25 12:43:55,605 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 6:55:00, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9301, aux.loss_ce: 0.0278, aux.acc_seg: 97.1996, loss: 0.0779 2023-02-25 12:44:43,914 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 6:54:11, time: 0.966, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9688, aux.loss_ce: 0.0278, aux.acc_seg: 97.1666, loss: 0.0764 2023-02-25 12:45:34,506 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 6:53:23, time: 1.012, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8963, aux.loss_ce: 0.0282, aux.acc_seg: 97.1678, loss: 0.0792 2023-02-25 12:46:21,956 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 6:52:34, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8881, aux.loss_ce: 0.0275, aux.acc_seg: 97.2191, loss: 0.0781 2023-02-25 12:47:09,404 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 6:51:45, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9331, aux.loss_ce: 0.0275, aux.acc_seg: 97.1853, loss: 0.0767 2023-02-25 12:47:57,206 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 6:50:56, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9191, aux.loss_ce: 0.0281, aux.acc_seg: 97.1696, loss: 0.0782 2023-02-25 12:48:47,344 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 6:50:08, time: 1.003, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9426, aux.loss_ce: 0.0267, aux.acc_seg: 97.2952, loss: 0.0762 2023-02-25 12:49:35,133 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 6:49:19, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9207, aux.loss_ce: 0.0282, aux.acc_seg: 97.1511, loss: 0.0780 2023-02-25 12:50:22,967 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 6:48:30, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8948, aux.loss_ce: 0.0279, aux.acc_seg: 97.1662, loss: 0.0784 2023-02-25 12:51:10,571 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 6:47:41, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9194, aux.loss_ce: 0.0280, aux.acc_seg: 97.1489, loss: 0.0778 2023-02-25 12:52:01,238 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 6:46:53, time: 1.013, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8808, aux.loss_ce: 0.0281, aux.acc_seg: 97.1756, loss: 0.0792 2023-02-25 12:52:49,207 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 6:46:04, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0464, decode.acc_seg: 98.0527, aux.loss_ce: 0.0273, aux.acc_seg: 97.2188, loss: 0.0737 2023-02-25 12:53:36,685 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:53:36,685 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 6:45:16, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0511, decode.acc_seg: 97.8769, aux.loss_ce: 0.0283, aux.acc_seg: 97.1361, loss: 0.0794 2023-02-25 12:54:26,930 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 6:44:27, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0370, aux.loss_ce: 0.0267, aux.acc_seg: 97.2918, loss: 0.0739 2023-02-25 12:55:14,378 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 6:43:38, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9675, aux.loss_ce: 0.0270, aux.acc_seg: 97.2690, loss: 0.0758 2023-02-25 12:56:02,062 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 6:42:50, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9247, aux.loss_ce: 0.0282, aux.acc_seg: 97.1230, loss: 0.0777 2023-02-25 12:56:49,708 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 6:42:01, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9553, aux.loss_ce: 0.0276, aux.acc_seg: 97.2021, loss: 0.0769 2023-02-25 12:57:39,844 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 6:41:12, time: 1.003, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0525, decode.acc_seg: 97.8009, aux.loss_ce: 0.0290, aux.acc_seg: 97.0660, loss: 0.0814 2023-02-25 12:58:27,300 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 6:40:24, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9360, aux.loss_ce: 0.0275, aux.acc_seg: 97.2142, loss: 0.0771 2023-02-25 12:59:15,146 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 6:39:35, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9729, aux.loss_ce: 0.0267, aux.acc_seg: 97.2905, loss: 0.0753 2023-02-25 13:00:02,803 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 6:38:46, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8783, aux.loss_ce: 0.0281, aux.acc_seg: 97.1659, loss: 0.0789 2023-02-25 13:00:53,331 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 6:37:58, time: 1.011, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0413, aux.loss_ce: 0.0272, aux.acc_seg: 97.2339, loss: 0.0741 2023-02-25 13:01:41,204 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 6:37:09, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9265, aux.loss_ce: 0.0277, aux.acc_seg: 97.1834, loss: 0.0772 2023-02-25 13:02:29,051 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 6:36:20, time: 0.957, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8865, aux.loss_ce: 0.0284, aux.acc_seg: 97.1419, loss: 0.0793 2023-02-25 13:03:19,903 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 6:35:32, time: 1.017, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9763, aux.loss_ce: 0.0277, aux.acc_seg: 97.2028, loss: 0.0762 2023-02-25 13:04:07,610 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 6:34:43, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0193, aux.loss_ce: 0.0265, aux.acc_seg: 97.3051, loss: 0.0739 2023-02-25 13:04:55,727 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 6:33:54, time: 0.962, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8882, aux.loss_ce: 0.0276, aux.acc_seg: 97.1918, loss: 0.0781 2023-02-25 13:05:43,367 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 6:33:06, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0522, decode.acc_seg: 97.8476, aux.loss_ce: 0.0284, aux.acc_seg: 97.1419, loss: 0.0806 2023-02-25 13:06:33,756 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 6:32:17, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8680, aux.loss_ce: 0.0286, aux.acc_seg: 97.1229, loss: 0.0800 2023-02-25 13:07:21,275 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 6:31:28, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9086, aux.loss_ce: 0.0276, aux.acc_seg: 97.1862, loss: 0.0775 2023-02-25 13:08:09,175 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 6:30:40, time: 0.958, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9376, aux.loss_ce: 0.0285, aux.acc_seg: 97.1300, loss: 0.0782 2023-02-25 13:08:57,037 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 6:29:51, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9897, aux.loss_ce: 0.0270, aux.acc_seg: 97.2479, loss: 0.0749 2023-02-25 13:09:47,582 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:09:47,582 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 6:29:03, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9460, aux.loss_ce: 0.0272, aux.acc_seg: 97.2126, loss: 0.0760 2023-02-25 13:10:35,232 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 6:28:14, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9216, aux.loss_ce: 0.0284, aux.acc_seg: 97.1210, loss: 0.0784 2023-02-25 13:11:23,261 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 6:27:25, time: 0.960, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9817, aux.loss_ce: 0.0271, aux.acc_seg: 97.2587, loss: 0.0754 2023-02-25 13:12:11,350 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 6:26:36, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9207, aux.loss_ce: 0.0274, aux.acc_seg: 97.2040, loss: 0.0769 2023-02-25 13:13:02,860 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 6:25:48, time: 1.030, data_time: 0.084, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9168, aux.loss_ce: 0.0277, aux.acc_seg: 97.1934, loss: 0.0777 2023-02-25 13:13:50,327 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 6:24:59, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8885, aux.loss_ce: 0.0283, aux.acc_seg: 97.1386, loss: 0.0790 2023-02-25 13:14:37,811 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 6:24:11, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0366, aux.loss_ce: 0.0269, aux.acc_seg: 97.2589, loss: 0.0739 2023-02-25 13:15:29,143 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 6:23:22, time: 1.027, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8993, aux.loss_ce: 0.0274, aux.acc_seg: 97.2500, loss: 0.0781 2023-02-25 13:16:16,537 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 6:22:34, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9981, aux.loss_ce: 0.0276, aux.acc_seg: 97.2103, loss: 0.0757 2023-02-25 13:17:04,456 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 6:21:45, time: 0.958, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9471, aux.loss_ce: 0.0275, aux.acc_seg: 97.2105, loss: 0.0764 2023-02-25 13:17:52,030 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 6:20:56, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0428, aux.loss_ce: 0.0270, aux.acc_seg: 97.2552, loss: 0.0737 2023-02-25 13:18:42,686 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 6:20:08, time: 1.013, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9413, aux.loss_ce: 0.0273, aux.acc_seg: 97.2490, loss: 0.0768 2023-02-25 13:19:30,199 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 6:19:19, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0563, aux.loss_ce: 0.0270, aux.acc_seg: 97.2623, loss: 0.0735 2023-02-25 13:20:17,737 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 6:18:30, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.8948, aux.loss_ce: 0.0285, aux.acc_seg: 97.1235, loss: 0.0789 2023-02-25 13:21:05,223 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 6:17:41, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8771, aux.loss_ce: 0.0276, aux.acc_seg: 97.1960, loss: 0.0785 2023-02-25 13:21:55,751 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 6:16:53, time: 1.011, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9744, aux.loss_ce: 0.0273, aux.acc_seg: 97.2169, loss: 0.0756 2023-02-25 13:22:43,314 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 6:16:04, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9234, aux.loss_ce: 0.0277, aux.acc_seg: 97.1892, loss: 0.0775 2023-02-25 13:23:31,162 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 6:15:15, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8846, aux.loss_ce: 0.0282, aux.acc_seg: 97.1486, loss: 0.0791 2023-02-25 13:24:21,652 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 6:14:27, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9963, aux.loss_ce: 0.0270, aux.acc_seg: 97.2669, loss: 0.0749 2023-02-25 13:25:09,281 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 6:13:38, time: 0.953, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9647, aux.loss_ce: 0.0269, aux.acc_seg: 97.2536, loss: 0.0754 2023-02-25 13:25:56,825 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:25:56,825 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 6:12:49, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9382, aux.loss_ce: 0.0277, aux.acc_seg: 97.1609, loss: 0.0767 2023-02-25 13:26:45,101 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 6:12:01, time: 0.966, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0560, aux.loss_ce: 0.0265, aux.acc_seg: 97.3248, loss: 0.0732 2023-02-25 13:27:35,291 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 6:11:12, time: 1.004, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9331, aux.loss_ce: 0.0283, aux.acc_seg: 97.1325, loss: 0.0779 2023-02-25 13:28:22,808 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 6:10:24, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0155, aux.loss_ce: 0.0271, aux.acc_seg: 97.2652, loss: 0.0749 2023-02-25 13:29:10,476 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 6:09:35, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9022, aux.loss_ce: 0.0278, aux.acc_seg: 97.1911, loss: 0.0782 2023-02-25 13:29:57,865 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 6:08:46, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9364, aux.loss_ce: 0.0275, aux.acc_seg: 97.1878, loss: 0.0769 2023-02-25 13:30:48,339 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 6:07:58, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9510, aux.loss_ce: 0.0276, aux.acc_seg: 97.1710, loss: 0.0761 2023-02-25 13:31:35,824 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 6:07:09, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0154, aux.loss_ce: 0.0274, aux.acc_seg: 97.2205, loss: 0.0749 2023-02-25 13:32:23,234 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 6:06:20, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9177, aux.loss_ce: 0.0280, aux.acc_seg: 97.1300, loss: 0.0775 2023-02-25 13:33:10,655 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 6:05:31, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9003, aux.loss_ce: 0.0281, aux.acc_seg: 97.1555, loss: 0.0784 2023-02-25 13:34:01,402 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 6:04:43, time: 1.015, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9401, aux.loss_ce: 0.0281, aux.acc_seg: 97.1663, loss: 0.0776 2023-02-25 13:34:49,112 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 6:03:54, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9283, aux.loss_ce: 0.0280, aux.acc_seg: 97.1737, loss: 0.0775 2023-02-25 13:35:37,170 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 6:03:05, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9331, aux.loss_ce: 0.0270, aux.acc_seg: 97.2472, loss: 0.0764 2023-02-25 13:36:27,490 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 6:02:17, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9625, aux.loss_ce: 0.0281, aux.acc_seg: 97.1619, loss: 0.0770 2023-02-25 13:37:15,106 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 6:01:28, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0404, aux.loss_ce: 0.0271, aux.acc_seg: 97.2378, loss: 0.0742 2023-02-25 13:38:02,974 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 6:00:39, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8852, aux.loss_ce: 0.0278, aux.acc_seg: 97.1812, loss: 0.0785 2023-02-25 13:38:50,395 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 5:59:51, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9787, aux.loss_ce: 0.0271, aux.acc_seg: 97.2648, loss: 0.0759 2023-02-25 13:39:40,861 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 5:59:02, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9928, aux.loss_ce: 0.0276, aux.acc_seg: 97.2290, loss: 0.0760 2023-02-25 13:40:28,436 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 5:58:13, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8828, aux.loss_ce: 0.0289, aux.acc_seg: 97.0826, loss: 0.0798 2023-02-25 13:41:16,146 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 5:57:25, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0636, aux.loss_ce: 0.0266, aux.acc_seg: 97.2874, loss: 0.0733 2023-02-25 13:42:04,513 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:42:04,514 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 5:56:36, time: 0.967, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9408, aux.loss_ce: 0.0279, aux.acc_seg: 97.1803, loss: 0.0774 2023-02-25 13:42:54,794 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 5:55:48, time: 1.006, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0113, aux.loss_ce: 0.0270, aux.acc_seg: 97.2399, loss: 0.0743 2023-02-25 13:43:42,440 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 5:54:59, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9016, aux.loss_ce: 0.0278, aux.acc_seg: 97.1723, loss: 0.0779 2023-02-25 13:44:30,253 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 5:54:10, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9118, aux.loss_ce: 0.0274, aux.acc_seg: 97.2119, loss: 0.0775 2023-02-25 13:45:20,705 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 5:53:22, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9643, aux.loss_ce: 0.0277, aux.acc_seg: 97.1916, loss: 0.0768 2023-02-25 13:46:08,111 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 5:52:33, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9245, aux.loss_ce: 0.0274, aux.acc_seg: 97.2275, loss: 0.0774 2023-02-25 13:46:55,637 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 5:51:44, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9487, aux.loss_ce: 0.0275, aux.acc_seg: 97.1920, loss: 0.0766 2023-02-25 13:47:43,370 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 5:50:55, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0464, decode.acc_seg: 98.0623, aux.loss_ce: 0.0270, aux.acc_seg: 97.2318, loss: 0.0733 2023-02-25 13:48:33,826 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 5:50:07, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9058, aux.loss_ce: 0.0280, aux.acc_seg: 97.1402, loss: 0.0782 2023-02-25 13:49:21,412 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 5:49:18, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9881, aux.loss_ce: 0.0270, aux.acc_seg: 97.2757, loss: 0.0756 2023-02-25 13:50:09,050 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 5:48:29, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9421, aux.loss_ce: 0.0277, aux.acc_seg: 97.1628, loss: 0.0765 2023-02-25 13:50:56,514 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 5:47:41, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8766, aux.loss_ce: 0.0289, aux.acc_seg: 97.0772, loss: 0.0798 2023-02-25 13:51:46,827 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 5:46:52, time: 1.006, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9800, aux.loss_ce: 0.0275, aux.acc_seg: 97.2298, loss: 0.0760 2023-02-25 13:52:34,949 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 5:46:04, time: 0.962, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9330, aux.loss_ce: 0.0274, aux.acc_seg: 97.1924, loss: 0.0767 2023-02-25 13:53:22,721 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 5:45:15, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0001, aux.loss_ce: 0.0268, aux.acc_seg: 97.2665, loss: 0.0745 2023-02-25 13:54:10,313 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 5:44:26, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9595, aux.loss_ce: 0.0275, aux.acc_seg: 97.1898, loss: 0.0760 2023-02-25 13:55:00,596 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 5:43:38, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9845, aux.loss_ce: 0.0278, aux.acc_seg: 97.1848, loss: 0.0761 2023-02-25 13:55:48,084 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 5:42:49, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9944, aux.loss_ce: 0.0271, aux.acc_seg: 97.2610, loss: 0.0753 2023-02-25 13:56:35,488 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 5:42:00, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8861, aux.loss_ce: 0.0287, aux.acc_seg: 97.0941, loss: 0.0794 2023-02-25 13:57:25,925 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 5:41:12, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9154, aux.loss_ce: 0.0277, aux.acc_seg: 97.1872, loss: 0.0780 2023-02-25 13:58:13,801 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:58:13,802 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 5:40:23, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9368, aux.loss_ce: 0.0274, aux.acc_seg: 97.2011, loss: 0.0766 2023-02-25 13:59:01,641 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 5:39:34, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0196, aux.loss_ce: 0.0283, aux.acc_seg: 97.1654, loss: 0.0758 2023-02-25 13:59:49,217 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 5:38:45, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9591, aux.loss_ce: 0.0269, aux.acc_seg: 97.2602, loss: 0.0756 2023-02-25 14:00:39,712 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 5:37:57, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9482, aux.loss_ce: 0.0270, aux.acc_seg: 97.2548, loss: 0.0758 2023-02-25 14:01:27,289 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 5:37:08, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9429, aux.loss_ce: 0.0271, aux.acc_seg: 97.2421, loss: 0.0760 2023-02-25 14:02:14,921 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 5:36:20, time: 0.953, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9349, aux.loss_ce: 0.0281, aux.acc_seg: 97.1541, loss: 0.0777 2023-02-25 14:03:02,413 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 5:35:31, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9927, aux.loss_ce: 0.0274, aux.acc_seg: 97.2377, loss: 0.0758 2023-02-25 14:03:52,890 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 5:34:42, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9998, aux.loss_ce: 0.0275, aux.acc_seg: 97.2198, loss: 0.0755 2023-02-25 14:04:40,836 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 5:33:54, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9336, aux.loss_ce: 0.0273, aux.acc_seg: 97.2250, loss: 0.0768 2023-02-25 14:05:28,316 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 5:33:05, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9807, aux.loss_ce: 0.0275, aux.acc_seg: 97.2088, loss: 0.0759 2023-02-25 14:06:16,215 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 5:32:16, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9180, aux.loss_ce: 0.0281, aux.acc_seg: 97.1420, loss: 0.0779 2023-02-25 14:07:06,635 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 5:31:28, time: 1.008, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9654, aux.loss_ce: 0.0271, aux.acc_seg: 97.2291, loss: 0.0756 2023-02-25 14:07:54,384 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 5:30:39, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9140, aux.loss_ce: 0.0275, aux.acc_seg: 97.2048, loss: 0.0774 2023-02-25 14:08:41,899 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 5:29:50, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0584, aux.loss_ce: 0.0261, aux.acc_seg: 97.3303, loss: 0.0725 2023-02-25 14:09:32,779 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 5:29:02, time: 1.017, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 97.9998, aux.loss_ce: 0.0268, aux.acc_seg: 97.2796, loss: 0.0745 2023-02-25 14:10:20,331 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 5:28:13, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9127, aux.loss_ce: 0.0277, aux.acc_seg: 97.1790, loss: 0.0774 2023-02-25 14:11:08,305 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 5:27:24, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0134, aux.loss_ce: 0.0269, aux.acc_seg: 97.2590, loss: 0.0743 2023-02-25 14:11:55,952 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 5:26:36, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9093, aux.loss_ce: 0.0279, aux.acc_seg: 97.1859, loss: 0.0779 2023-02-25 14:12:46,806 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 5:25:47, time: 1.017, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9414, aux.loss_ce: 0.0272, aux.acc_seg: 97.2045, loss: 0.0761 2023-02-25 14:13:34,600 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 5:24:59, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9906, aux.loss_ce: 0.0278, aux.acc_seg: 97.1791, loss: 0.0759 2023-02-25 14:14:22,768 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:14:22,768 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 5:24:10, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9461, aux.loss_ce: 0.0275, aux.acc_seg: 97.1954, loss: 0.0766 2023-02-25 14:15:10,404 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 5:23:21, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9430, aux.loss_ce: 0.0281, aux.acc_seg: 97.1547, loss: 0.0774 2023-02-25 14:16:00,764 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 5:22:33, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9788, aux.loss_ce: 0.0274, aux.acc_seg: 97.2035, loss: 0.0755 2023-02-25 14:16:48,246 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 5:21:44, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9928, aux.loss_ce: 0.0274, aux.acc_seg: 97.2356, loss: 0.0757 2023-02-25 14:17:35,979 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 5:20:55, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9178, aux.loss_ce: 0.0277, aux.acc_seg: 97.1807, loss: 0.0775 2023-02-25 14:18:26,373 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 5:20:07, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0225, aux.loss_ce: 0.0274, aux.acc_seg: 97.2272, loss: 0.0746 2023-02-25 14:19:14,005 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 5:19:18, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9425, aux.loss_ce: 0.0276, aux.acc_seg: 97.2143, loss: 0.0768 2023-02-25 14:20:01,733 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 5:18:29, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0189, aux.loss_ce: 0.0266, aux.acc_seg: 97.2833, loss: 0.0739 2023-02-25 14:20:49,332 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 5:17:41, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9673, aux.loss_ce: 0.0273, aux.acc_seg: 97.2399, loss: 0.0760 2023-02-25 14:21:39,920 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 5:16:52, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9987, aux.loss_ce: 0.0283, aux.acc_seg: 97.1482, loss: 0.0762 2023-02-25 14:22:27,711 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 5:16:03, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0061, aux.loss_ce: 0.0268, aux.acc_seg: 97.2726, loss: 0.0741 2023-02-25 14:23:15,385 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 5:15:15, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0314, aux.loss_ce: 0.0277, aux.acc_seg: 97.2052, loss: 0.0752 2023-02-25 14:24:03,005 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 5:14:26, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0462, decode.acc_seg: 98.0611, aux.loss_ce: 0.0265, aux.acc_seg: 97.2991, loss: 0.0727 2023-02-25 14:24:53,273 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 5:13:38, time: 1.005, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9615, aux.loss_ce: 0.0271, aux.acc_seg: 97.2386, loss: 0.0759 2023-02-25 14:25:40,887 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 5:12:49, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9982, aux.loss_ce: 0.0271, aux.acc_seg: 97.2507, loss: 0.0751 2023-02-25 14:26:28,570 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 5:12:00, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9510, aux.loss_ce: 0.0276, aux.acc_seg: 97.2004, loss: 0.0768 2023-02-25 14:27:16,254 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 5:11:11, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9269, aux.loss_ce: 0.0272, aux.acc_seg: 97.2454, loss: 0.0770 2023-02-25 14:28:06,994 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 5:10:23, time: 1.015, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9489, aux.loss_ce: 0.0281, aux.acc_seg: 97.1533, loss: 0.0771 2023-02-25 14:28:55,008 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 5:09:34, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0245, aux.loss_ce: 0.0275, aux.acc_seg: 97.2154, loss: 0.0749 2023-02-25 14:29:42,872 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 5:08:45, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0460, decode.acc_seg: 98.0748, aux.loss_ce: 0.0262, aux.acc_seg: 97.3362, loss: 0.0722 2023-02-25 14:30:33,358 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:30:33,359 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 5:07:57, time: 1.010, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0098, aux.loss_ce: 0.0272, aux.acc_seg: 97.2496, loss: 0.0748 2023-02-25 14:31:21,331 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 5:07:08, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0100, aux.loss_ce: 0.0267, aux.acc_seg: 97.2668, loss: 0.0740 2023-02-25 14:32:09,128 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 5:06:20, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9580, aux.loss_ce: 0.0275, aux.acc_seg: 97.2403, loss: 0.0766 2023-02-25 14:32:56,582 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 5:05:31, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9314, aux.loss_ce: 0.0272, aux.acc_seg: 97.2354, loss: 0.0767 2023-02-25 14:33:47,010 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 5:04:42, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9651, aux.loss_ce: 0.0268, aux.acc_seg: 97.2582, loss: 0.0752 2023-02-25 14:34:34,874 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 5:03:54, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9344, aux.loss_ce: 0.0275, aux.acc_seg: 97.2080, loss: 0.0767 2023-02-25 14:35:22,626 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 5:03:05, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9977, aux.loss_ce: 0.0274, aux.acc_seg: 97.2370, loss: 0.0756 2023-02-25 14:36:10,395 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 5:02:16, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9239, aux.loss_ce: 0.0268, aux.acc_seg: 97.2578, loss: 0.0765 2023-02-25 14:37:01,275 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 5:01:28, time: 1.017, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0306, aux.loss_ce: 0.0270, aux.acc_seg: 97.2575, loss: 0.0739 2023-02-25 14:37:48,967 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 5:00:39, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0150, aux.loss_ce: 0.0264, aux.acc_seg: 97.3197, loss: 0.0738 2023-02-25 14:38:36,550 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 4:59:50, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9888, aux.loss_ce: 0.0275, aux.acc_seg: 97.2031, loss: 0.0757 2023-02-25 14:39:27,417 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 4:59:02, time: 1.017, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0457, decode.acc_seg: 98.0845, aux.loss_ce: 0.0263, aux.acc_seg: 97.3181, loss: 0.0720 2023-02-25 14:40:15,225 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 4:58:13, time: 0.956, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0198, aux.loss_ce: 0.0269, aux.acc_seg: 97.2748, loss: 0.0745 2023-02-25 14:41:02,954 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 4:57:25, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.9001, aux.loss_ce: 0.0282, aux.acc_seg: 97.1360, loss: 0.0785 2023-02-25 14:41:50,630 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 4:56:36, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9833, aux.loss_ce: 0.0275, aux.acc_seg: 97.2080, loss: 0.0756 2023-02-25 14:42:40,930 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 4:55:47, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9552, aux.loss_ce: 0.0268, aux.acc_seg: 97.2639, loss: 0.0754 2023-02-25 14:43:28,552 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 4:54:59, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9557, aux.loss_ce: 0.0280, aux.acc_seg: 97.1660, loss: 0.0770 2023-02-25 14:44:16,317 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 4:54:10, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9601, aux.loss_ce: 0.0270, aux.acc_seg: 97.2572, loss: 0.0758 2023-02-25 14:45:04,072 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 4:53:21, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0278, aux.loss_ce: 0.0270, aux.acc_seg: 97.2410, loss: 0.0737 2023-02-25 14:45:54,315 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 4:52:33, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9914, aux.loss_ce: 0.0274, aux.acc_seg: 97.2181, loss: 0.0754 2023-02-25 14:46:42,126 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:46:42,126 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 4:51:44, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.8836, aux.loss_ce: 0.0279, aux.acc_seg: 97.1405, loss: 0.0781 2023-02-25 14:47:29,901 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 4:50:55, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9781, aux.loss_ce: 0.0269, aux.acc_seg: 97.2676, loss: 0.0753 2023-02-25 14:48:17,631 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 4:50:07, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9712, aux.loss_ce: 0.0268, aux.acc_seg: 97.2724, loss: 0.0752 2023-02-25 14:49:08,139 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 4:49:18, time: 1.010, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9029, aux.loss_ce: 0.0282, aux.acc_seg: 97.1450, loss: 0.0784 2023-02-25 14:49:55,923 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 4:48:30, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9180, aux.loss_ce: 0.0276, aux.acc_seg: 97.1862, loss: 0.0772 2023-02-25 14:50:43,611 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 4:47:41, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 97.9968, aux.loss_ce: 0.0270, aux.acc_seg: 97.2538, loss: 0.0746 2023-02-25 14:51:34,375 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 4:46:52, time: 1.015, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9346, aux.loss_ce: 0.0281, aux.acc_seg: 97.1590, loss: 0.0772 2023-02-25 14:52:21,962 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 4:46:04, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8963, aux.loss_ce: 0.0283, aux.acc_seg: 97.1601, loss: 0.0790 2023-02-25 14:53:10,170 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 4:45:15, time: 0.964, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9250, aux.loss_ce: 0.0273, aux.acc_seg: 97.2148, loss: 0.0768 2023-02-25 14:53:57,914 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 4:44:26, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9342, aux.loss_ce: 0.0277, aux.acc_seg: 97.2090, loss: 0.0770 2023-02-25 14:54:48,312 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 4:43:38, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0507, decode.acc_seg: 97.8693, aux.loss_ce: 0.0278, aux.acc_seg: 97.1634, loss: 0.0784 2023-02-25 14:55:36,025 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 4:42:49, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9889, aux.loss_ce: 0.0268, aux.acc_seg: 97.2792, loss: 0.0752 2023-02-25 14:56:23,626 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 4:42:00, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9500, aux.loss_ce: 0.0271, aux.acc_seg: 97.2402, loss: 0.0763 2023-02-25 14:57:11,288 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 4:41:12, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9379, aux.loss_ce: 0.0284, aux.acc_seg: 97.1582, loss: 0.0778 2023-02-25 14:58:01,833 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 4:40:23, time: 1.011, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.8995, aux.loss_ce: 0.0284, aux.acc_seg: 97.1243, loss: 0.0788 2023-02-25 14:58:49,710 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 4:39:35, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0228, aux.loss_ce: 0.0269, aux.acc_seg: 97.2628, loss: 0.0742 2023-02-25 14:59:37,448 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 4:38:46, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9446, aux.loss_ce: 0.0276, aux.acc_seg: 97.2054, loss: 0.0768 2023-02-25 15:00:27,962 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 4:37:57, time: 1.010, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0064, aux.loss_ce: 0.0274, aux.acc_seg: 97.2002, loss: 0.0747 2023-02-25 15:01:15,448 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 4:37:09, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0423, aux.loss_ce: 0.0264, aux.acc_seg: 97.3249, loss: 0.0732 2023-02-25 15:02:02,960 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 4:36:20, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9523, aux.loss_ce: 0.0279, aux.acc_seg: 97.1504, loss: 0.0766 2023-02-25 15:02:50,415 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:02:50,415 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 4:35:31, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0512, decode.acc_seg: 97.8601, aux.loss_ce: 0.0281, aux.acc_seg: 97.1534, loss: 0.0793 2023-02-25 15:03:41,147 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 4:34:43, time: 1.015, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9996, aux.loss_ce: 0.0277, aux.acc_seg: 97.1845, loss: 0.0756 2023-02-25 15:04:29,149 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 4:33:54, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9999, aux.loss_ce: 0.0268, aux.acc_seg: 97.2584, loss: 0.0746 2023-02-25 15:05:17,084 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 4:33:05, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9654, aux.loss_ce: 0.0275, aux.acc_seg: 97.2000, loss: 0.0762 2023-02-25 15:06:05,391 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 4:32:17, time: 0.966, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9955, aux.loss_ce: 0.0268, aux.acc_seg: 97.2939, loss: 0.0751 2023-02-25 15:06:56,152 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 4:31:28, time: 1.015, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9695, aux.loss_ce: 0.0272, aux.acc_seg: 97.2336, loss: 0.0758 2023-02-25 15:07:43,715 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 4:30:40, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0032, aux.loss_ce: 0.0269, aux.acc_seg: 97.2770, loss: 0.0747 2023-02-25 15:08:31,363 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 4:29:51, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0031, aux.loss_ce: 0.0270, aux.acc_seg: 97.2691, loss: 0.0748 2023-02-25 15:09:18,925 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 4:29:02, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.8948, aux.loss_ce: 0.0281, aux.acc_seg: 97.1445, loss: 0.0783 2023-02-25 15:10:09,454 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 4:28:14, time: 1.011, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0462, decode.acc_seg: 98.0737, aux.loss_ce: 0.0269, aux.acc_seg: 97.2566, loss: 0.0731 2023-02-25 15:10:57,317 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 4:27:25, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0664, aux.loss_ce: 0.0268, aux.acc_seg: 97.2911, loss: 0.0731 2023-02-25 15:11:45,172 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 4:26:36, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0352, aux.loss_ce: 0.0268, aux.acc_seg: 97.2719, loss: 0.0736 2023-02-25 15:12:36,227 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 4:25:48, time: 1.021, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0537, aux.loss_ce: 0.0263, aux.acc_seg: 97.3369, loss: 0.0729 2023-02-25 15:13:23,666 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 4:24:59, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9294, aux.loss_ce: 0.0282, aux.acc_seg: 97.1515, loss: 0.0781 2023-02-25 15:14:11,338 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 4:24:10, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0126, aux.loss_ce: 0.0269, aux.acc_seg: 97.2474, loss: 0.0742 2023-02-25 15:14:59,407 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 4:23:22, time: 0.962, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0387, aux.loss_ce: 0.0269, aux.acc_seg: 97.2691, loss: 0.0739 2023-02-25 15:15:50,194 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 4:22:33, time: 1.016, data_time: 0.074, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9559, aux.loss_ce: 0.0273, aux.acc_seg: 97.2441, loss: 0.0765 2023-02-25 15:16:38,173 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 4:21:45, time: 0.960, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9803, aux.loss_ce: 0.0273, aux.acc_seg: 97.2198, loss: 0.0753 2023-02-25 15:17:25,674 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 4:20:56, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9357, aux.loss_ce: 0.0272, aux.acc_seg: 97.2324, loss: 0.0768 2023-02-25 15:18:13,245 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 4:20:07, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9258, aux.loss_ce: 0.0268, aux.acc_seg: 97.2647, loss: 0.0764 2023-02-25 15:19:03,504 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-02-25 15:19:05,629 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:19:05,631 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 4:19:19, time: 1.048, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0084, aux.loss_ce: 0.0269, aux.acc_seg: 97.2549, loss: 0.0743 2023-02-25 15:20:01,911 - mmseg - INFO - per class results: 2023-02-25 15:20:01,915 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.55 | 99.28 | | sidewalk | 88.0 | 93.33 | | building | 93.44 | 97.57 | | wall | 62.3 | 68.38 | | fence | 66.17 | 72.19 | | pole | 71.74 | 81.29 | | traffic light | 75.5 | 83.96 | | traffic sign | 84.06 | 89.97 | | vegetation | 93.32 | 96.52 | | terrain | 69.25 | 78.35 | | sky | 95.38 | 98.5 | | person | 85.75 | 93.61 | | rider | 68.69 | 79.9 | | car | 95.74 | 98.34 | | truck | 77.13 | 79.71 | | bus | 92.77 | 95.74 | | train | 88.07 | 90.02 | | motorcycle | 71.61 | 80.85 | | bicycle | 81.61 | 90.28 | +---------------+-------+-------+ 2023-02-25 15:20:01,915 - mmseg - INFO - Summary: 2023-02-25 15:20:01,915 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.76 | 82.06 | 87.78 | +-------+-------+-------+ 2023-02-25 15:20:01,916 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:20:01,916 - mmseg - INFO - Iter(val) [125] aAcc: 0.9676, mIoU: 0.8206, mAcc: 0.8778, IoU.road: 0.9855, IoU.sidewalk: 0.8800, IoU.building: 0.9344, IoU.wall: 0.6230, IoU.fence: 0.6617, IoU.pole: 0.7174, IoU.traffic light: 0.7550, IoU.traffic sign: 0.8406, IoU.vegetation: 0.9332, IoU.terrain: 0.6925, IoU.sky: 0.9538, IoU.person: 0.8575, IoU.rider: 0.6869, IoU.car: 0.9574, IoU.truck: 0.7713, IoU.bus: 0.9277, IoU.train: 0.8807, IoU.motorcycle: 0.7161, IoU.bicycle: 0.8161, Acc.road: 0.9928, Acc.sidewalk: 0.9333, Acc.building: 0.9757, Acc.wall: 0.6838, Acc.fence: 0.7219, Acc.pole: 0.8129, Acc.traffic light: 0.8396, Acc.traffic sign: 0.8997, Acc.vegetation: 0.9652, Acc.terrain: 0.7835, Acc.sky: 0.9850, Acc.person: 0.9361, Acc.rider: 0.7990, Acc.car: 0.9834, Acc.truck: 0.7971, Acc.bus: 0.9574, Acc.train: 0.9002, Acc.motorcycle: 0.8085, Acc.bicycle: 0.9028 2023-02-25 15:20:49,696 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 4:18:37, time: 2.081, data_time: 1.135, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0153, aux.loss_ce: 0.0270, aux.acc_seg: 97.2757, loss: 0.0749 2023-02-25 15:21:37,375 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 4:17:48, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9915, aux.loss_ce: 0.0276, aux.acc_seg: 97.1933, loss: 0.0755 2023-02-25 15:22:25,178 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 4:16:59, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9692, aux.loss_ce: 0.0277, aux.acc_seg: 97.1948, loss: 0.0766 2023-02-25 15:23:15,359 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 4:16:11, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0351, aux.loss_ce: 0.0273, aux.acc_seg: 97.2436, loss: 0.0742 2023-02-25 15:24:02,709 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 4:15:22, time: 0.947, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0461, decode.acc_seg: 98.0548, aux.loss_ce: 0.0267, aux.acc_seg: 97.2736, loss: 0.0728 2023-02-25 15:24:50,300 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 4:14:33, time: 0.952, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9271, aux.loss_ce: 0.0272, aux.acc_seg: 97.2400, loss: 0.0769 2023-02-25 15:25:40,775 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 4:13:45, time: 1.009, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0514, decode.acc_seg: 97.8451, aux.loss_ce: 0.0284, aux.acc_seg: 97.1319, loss: 0.0798 2023-02-25 15:26:28,612 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 4:12:56, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.9100, aux.loss_ce: 0.0276, aux.acc_seg: 97.2025, loss: 0.0777 2023-02-25 15:27:16,534 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 4:12:07, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0571, aux.loss_ce: 0.0265, aux.acc_seg: 97.2995, loss: 0.0731 2023-02-25 15:28:04,219 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 4:11:18, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9908, aux.loss_ce: 0.0271, aux.acc_seg: 97.2407, loss: 0.0752 2023-02-25 15:28:54,523 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 4:10:30, time: 1.006, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9137, aux.loss_ce: 0.0277, aux.acc_seg: 97.2128, loss: 0.0782 2023-02-25 15:29:41,979 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 4:09:41, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8664, aux.loss_ce: 0.0273, aux.acc_seg: 97.2101, loss: 0.0781 2023-02-25 15:30:29,666 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 4:08:52, time: 0.954, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9842, aux.loss_ce: 0.0275, aux.acc_seg: 97.2329, loss: 0.0761 2023-02-25 15:31:17,038 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 4:08:04, time: 0.947, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 97.9877, aux.loss_ce: 0.0264, aux.acc_seg: 97.3005, loss: 0.0740 2023-02-25 15:32:07,299 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 4:07:15, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0092, aux.loss_ce: 0.0272, aux.acc_seg: 97.2250, loss: 0.0747 2023-02-25 15:32:54,748 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 4:06:26, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9891, aux.loss_ce: 0.0274, aux.acc_seg: 97.2155, loss: 0.0753 2023-02-25 15:33:42,490 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 4:05:38, time: 0.955, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9803, aux.loss_ce: 0.0274, aux.acc_seg: 97.2422, loss: 0.0763 2023-02-25 15:34:32,852 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 4:04:49, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9568, aux.loss_ce: 0.0266, aux.acc_seg: 97.2762, loss: 0.0753 2023-02-25 15:35:20,215 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 4:04:00, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9356, aux.loss_ce: 0.0280, aux.acc_seg: 97.1546, loss: 0.0775 2023-02-25 15:36:07,779 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:36:07,780 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 4:03:12, time: 0.951, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0515, decode.acc_seg: 97.8350, aux.loss_ce: 0.0281, aux.acc_seg: 97.1194, loss: 0.0796 2023-02-25 15:36:55,379 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 4:02:23, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0371, aux.loss_ce: 0.0265, aux.acc_seg: 97.3002, loss: 0.0734 2023-02-25 15:37:46,233 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 4:01:35, time: 1.017, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9829, aux.loss_ce: 0.0274, aux.acc_seg: 97.2343, loss: 0.0758 2023-02-25 15:38:33,692 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 4:00:46, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0265, aux.loss_ce: 0.0267, aux.acc_seg: 97.3026, loss: 0.0741 2023-02-25 15:39:21,457 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 3:59:57, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9021, aux.loss_ce: 0.0275, aux.acc_seg: 97.1813, loss: 0.0771 2023-02-25 15:40:09,346 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 3:59:08, time: 0.958, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0505, decode.acc_seg: 97.9142, aux.loss_ce: 0.0274, aux.acc_seg: 97.2447, loss: 0.0779 2023-02-25 15:40:59,931 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 3:58:20, time: 1.012, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9835, aux.loss_ce: 0.0275, aux.acc_seg: 97.1960, loss: 0.0756 2023-02-25 15:41:47,549 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 3:57:31, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0136, aux.loss_ce: 0.0270, aux.acc_seg: 97.2631, loss: 0.0746 2023-02-25 15:42:35,302 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 3:56:42, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0286, aux.loss_ce: 0.0264, aux.acc_seg: 97.3334, loss: 0.0738 2023-02-25 15:43:22,871 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 3:55:54, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9174, aux.loss_ce: 0.0273, aux.acc_seg: 97.2133, loss: 0.0771 2023-02-25 15:44:13,141 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 3:55:05, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9797, aux.loss_ce: 0.0275, aux.acc_seg: 97.2027, loss: 0.0759 2023-02-25 15:45:01,401 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 3:54:16, time: 0.965, data_time: 0.024, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0145, aux.loss_ce: 0.0267, aux.acc_seg: 97.2914, loss: 0.0744 2023-02-25 15:45:49,428 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 3:53:28, time: 0.961, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9807, aux.loss_ce: 0.0271, aux.acc_seg: 97.2552, loss: 0.0755 2023-02-25 15:46:39,842 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 3:52:39, time: 1.008, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9853, aux.loss_ce: 0.0274, aux.acc_seg: 97.2166, loss: 0.0757 2023-02-25 15:47:27,401 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 3:51:51, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0105, aux.loss_ce: 0.0264, aux.acc_seg: 97.3039, loss: 0.0737 2023-02-25 15:48:14,960 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 3:51:02, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0415, aux.loss_ce: 0.0266, aux.acc_seg: 97.3093, loss: 0.0735 2023-02-25 15:49:02,502 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 3:50:13, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9567, aux.loss_ce: 0.0277, aux.acc_seg: 97.1706, loss: 0.0763 2023-02-25 15:49:53,787 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 3:49:25, time: 1.026, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9240, aux.loss_ce: 0.0272, aux.acc_seg: 97.2048, loss: 0.0762 2023-02-25 15:50:41,687 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 3:48:36, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.8952, aux.loss_ce: 0.0280, aux.acc_seg: 97.1440, loss: 0.0781 2023-02-25 15:51:29,128 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 3:47:47, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0337, aux.loss_ce: 0.0265, aux.acc_seg: 97.3094, loss: 0.0735 2023-02-25 15:52:16,611 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:52:16,611 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 3:46:58, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0370, aux.loss_ce: 0.0269, aux.acc_seg: 97.2507, loss: 0.0737 2023-02-25 15:53:07,500 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 3:46:10, time: 1.018, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9359, aux.loss_ce: 0.0274, aux.acc_seg: 97.2224, loss: 0.0769 2023-02-25 15:53:54,961 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 3:45:21, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9528, aux.loss_ce: 0.0274, aux.acc_seg: 97.2219, loss: 0.0763 2023-02-25 15:54:42,390 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 3:44:33, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0459, decode.acc_seg: 98.0736, aux.loss_ce: 0.0263, aux.acc_seg: 97.3166, loss: 0.0722 2023-02-25 15:55:33,328 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 3:43:44, time: 1.019, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0022, aux.loss_ce: 0.0269, aux.acc_seg: 97.2730, loss: 0.0747 2023-02-25 15:56:20,882 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 3:42:55, time: 0.951, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0046, aux.loss_ce: 0.0278, aux.acc_seg: 97.1728, loss: 0.0754 2023-02-25 15:57:08,463 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 3:42:07, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9252, aux.loss_ce: 0.0281, aux.acc_seg: 97.1380, loss: 0.0776 2023-02-25 15:57:56,857 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 3:41:18, time: 0.968, data_time: 0.023, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9564, aux.loss_ce: 0.0271, aux.acc_seg: 97.2553, loss: 0.0758 2023-02-25 15:58:47,707 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 3:40:30, time: 1.017, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9966, aux.loss_ce: 0.0272, aux.acc_seg: 97.2284, loss: 0.0751 2023-02-25 15:59:35,119 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 3:39:41, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0270, aux.loss_ce: 0.0272, aux.acc_seg: 97.2548, loss: 0.0749 2023-02-25 16:00:22,692 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 3:38:52, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9489, aux.loss_ce: 0.0279, aux.acc_seg: 97.1624, loss: 0.0770 2023-02-25 16:01:10,307 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 3:38:03, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9482, aux.loss_ce: 0.0268, aux.acc_seg: 97.2644, loss: 0.0756 2023-02-25 16:02:00,425 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 3:37:15, time: 1.002, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9465, aux.loss_ce: 0.0274, aux.acc_seg: 97.2272, loss: 0.0765 2023-02-25 16:02:47,946 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 3:36:26, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9131, aux.loss_ce: 0.0273, aux.acc_seg: 97.2371, loss: 0.0772 2023-02-25 16:03:35,529 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 3:35:37, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0461, decode.acc_seg: 98.0653, aux.loss_ce: 0.0265, aux.acc_seg: 97.3122, loss: 0.0726 2023-02-25 16:04:22,998 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 3:34:49, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9965, aux.loss_ce: 0.0274, aux.acc_seg: 97.2267, loss: 0.0756 2023-02-25 16:05:13,452 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 3:34:00, time: 1.009, data_time: 0.071, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9738, aux.loss_ce: 0.0277, aux.acc_seg: 97.2001, loss: 0.0762 2023-02-25 16:06:01,591 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 3:33:11, time: 0.963, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0370, aux.loss_ce: 0.0265, aux.acc_seg: 97.2972, loss: 0.0735 2023-02-25 16:06:49,025 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 3:32:23, time: 0.949, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9560, aux.loss_ce: 0.0278, aux.acc_seg: 97.1820, loss: 0.0767 2023-02-25 16:07:39,600 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 3:31:34, time: 1.011, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0460, decode.acc_seg: 98.0696, aux.loss_ce: 0.0271, aux.acc_seg: 97.2192, loss: 0.0731 2023-02-25 16:08:27,207 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:08:27,208 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 3:30:45, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9850, aux.loss_ce: 0.0269, aux.acc_seg: 97.2482, loss: 0.0749 2023-02-25 16:09:14,812 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 3:29:57, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9502, aux.loss_ce: 0.0276, aux.acc_seg: 97.1704, loss: 0.0763 2023-02-25 16:10:02,285 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 3:29:08, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0202, aux.loss_ce: 0.0265, aux.acc_seg: 97.3077, loss: 0.0737 2023-02-25 16:10:53,047 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 3:28:20, time: 1.015, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9105, aux.loss_ce: 0.0278, aux.acc_seg: 97.1781, loss: 0.0780 2023-02-25 16:11:40,841 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 3:27:31, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0453, decode.acc_seg: 98.0948, aux.loss_ce: 0.0263, aux.acc_seg: 97.3226, loss: 0.0716 2023-02-25 16:12:28,306 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 3:26:42, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9488, aux.loss_ce: 0.0271, aux.acc_seg: 97.2396, loss: 0.0763 2023-02-25 16:13:15,701 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 3:25:53, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0465, decode.acc_seg: 98.0590, aux.loss_ce: 0.0266, aux.acc_seg: 97.3083, loss: 0.0731 2023-02-25 16:14:05,848 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 3:25:05, time: 1.003, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9970, aux.loss_ce: 0.0279, aux.acc_seg: 97.1581, loss: 0.0760 2023-02-25 16:14:53,214 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 3:24:16, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0049, aux.loss_ce: 0.0267, aux.acc_seg: 97.2998, loss: 0.0746 2023-02-25 16:15:40,975 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 3:23:27, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0009, aux.loss_ce: 0.0271, aux.acc_seg: 97.2300, loss: 0.0747 2023-02-25 16:16:31,702 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 3:22:39, time: 1.015, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9633, aux.loss_ce: 0.0271, aux.acc_seg: 97.2425, loss: 0.0757 2023-02-25 16:17:19,149 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 3:21:50, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0278, aux.loss_ce: 0.0268, aux.acc_seg: 97.2871, loss: 0.0741 2023-02-25 16:18:06,678 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 3:21:01, time: 0.951, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0508, decode.acc_seg: 97.8707, aux.loss_ce: 0.0277, aux.acc_seg: 97.1802, loss: 0.0785 2023-02-25 16:18:54,397 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 3:20:13, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0177, aux.loss_ce: 0.0269, aux.acc_seg: 97.2761, loss: 0.0743 2023-02-25 16:19:45,159 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 3:19:24, time: 1.015, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9393, aux.loss_ce: 0.0274, aux.acc_seg: 97.2162, loss: 0.0766 2023-02-25 16:20:32,692 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 3:18:36, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9609, aux.loss_ce: 0.0282, aux.acc_seg: 97.1586, loss: 0.0773 2023-02-25 16:21:20,712 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 3:17:47, time: 0.961, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9607, aux.loss_ce: 0.0275, aux.acc_seg: 97.2023, loss: 0.0761 2023-02-25 16:22:08,223 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 3:16:58, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0177, aux.loss_ce: 0.0267, aux.acc_seg: 97.2898, loss: 0.0741 2023-02-25 16:22:58,446 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 3:16:10, time: 1.004, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0528, aux.loss_ce: 0.0268, aux.acc_seg: 97.2832, loss: 0.0734 2023-02-25 16:23:45,950 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 3:15:21, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0000, aux.loss_ce: 0.0273, aux.acc_seg: 97.2291, loss: 0.0751 2023-02-25 16:24:33,535 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:24:33,536 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 3:14:32, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9375, aux.loss_ce: 0.0272, aux.acc_seg: 97.2253, loss: 0.0767 2023-02-25 16:25:20,974 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 3:13:43, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0186, aux.loss_ce: 0.0267, aux.acc_seg: 97.2762, loss: 0.0739 2023-02-25 16:26:12,541 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 3:12:55, time: 1.031, data_time: 0.080, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9885, aux.loss_ce: 0.0267, aux.acc_seg: 97.2853, loss: 0.0749 2023-02-25 16:26:59,972 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 3:12:06, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9745, aux.loss_ce: 0.0278, aux.acc_seg: 97.2044, loss: 0.0764 2023-02-25 16:27:47,465 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 3:11:18, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0068, aux.loss_ce: 0.0264, aux.acc_seg: 97.3167, loss: 0.0741 2023-02-25 16:28:37,822 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 3:10:29, time: 1.007, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9625, aux.loss_ce: 0.0270, aux.acc_seg: 97.2485, loss: 0.0754 2023-02-25 16:29:25,563 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 3:09:40, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9628, aux.loss_ce: 0.0275, aux.acc_seg: 97.1942, loss: 0.0764 2023-02-25 16:30:13,407 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 3:08:52, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0615, aux.loss_ce: 0.0270, aux.acc_seg: 97.2630, loss: 0.0733 2023-02-25 16:31:01,013 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 3:08:03, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9377, aux.loss_ce: 0.0273, aux.acc_seg: 97.2208, loss: 0.0768 2023-02-25 16:31:51,329 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 3:07:14, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9478, aux.loss_ce: 0.0277, aux.acc_seg: 97.1820, loss: 0.0771 2023-02-25 16:32:38,743 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 3:06:26, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9329, aux.loss_ce: 0.0280, aux.acc_seg: 97.1341, loss: 0.0772 2023-02-25 16:33:27,204 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 3:05:37, time: 0.970, data_time: 0.017, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9468, aux.loss_ce: 0.0272, aux.acc_seg: 97.2688, loss: 0.0770 2023-02-25 16:34:14,877 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 3:04:48, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9956, aux.loss_ce: 0.0268, aux.acc_seg: 97.2870, loss: 0.0751 2023-02-25 16:35:05,155 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 3:04:00, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0179, aux.loss_ce: 0.0279, aux.acc_seg: 97.1728, loss: 0.0754 2023-02-25 16:35:52,997 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 3:03:11, time: 0.957, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9704, aux.loss_ce: 0.0271, aux.acc_seg: 97.2337, loss: 0.0756 2023-02-25 16:36:40,604 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 3:02:22, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0622, aux.loss_ce: 0.0261, aux.acc_seg: 97.3508, loss: 0.0723 2023-02-25 16:37:28,105 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 3:01:34, time: 0.950, data_time: 0.009, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9703, aux.loss_ce: 0.0272, aux.acc_seg: 97.2308, loss: 0.0758 2023-02-25 16:38:18,429 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 3:00:45, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0359, aux.loss_ce: 0.0263, aux.acc_seg: 97.3176, loss: 0.0731 2023-02-25 16:39:05,831 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 2:59:57, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9108, aux.loss_ce: 0.0282, aux.acc_seg: 97.1326, loss: 0.0780 2023-02-25 16:39:53,171 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 2:59:08, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0448, aux.loss_ce: 0.0267, aux.acc_seg: 97.2858, loss: 0.0733 2023-02-25 16:40:43,443 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:40:43,444 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 2:58:19, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0109, aux.loss_ce: 0.0270, aux.acc_seg: 97.2483, loss: 0.0746 2023-02-25 16:41:31,421 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 2:57:31, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.8864, aux.loss_ce: 0.0277, aux.acc_seg: 97.1637, loss: 0.0779 2023-02-25 16:42:19,011 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 2:56:42, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9596, aux.loss_ce: 0.0270, aux.acc_seg: 97.2544, loss: 0.0756 2023-02-25 16:43:06,805 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 2:55:53, time: 0.956, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 98.0018, aux.loss_ce: 0.0276, aux.acc_seg: 97.1910, loss: 0.0756 2023-02-25 16:43:56,944 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 2:55:05, time: 1.003, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9253, aux.loss_ce: 0.0267, aux.acc_seg: 97.2766, loss: 0.0762 2023-02-25 16:44:44,570 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 2:54:16, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9131, aux.loss_ce: 0.0278, aux.acc_seg: 97.1941, loss: 0.0777 2023-02-25 16:45:32,296 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 2:53:27, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9828, aux.loss_ce: 0.0273, aux.acc_seg: 97.2438, loss: 0.0756 2023-02-25 16:46:20,001 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 2:52:39, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9740, aux.loss_ce: 0.0277, aux.acc_seg: 97.1655, loss: 0.0758 2023-02-25 16:47:10,501 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 2:51:50, time: 1.010, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9457, aux.loss_ce: 0.0269, aux.acc_seg: 97.2630, loss: 0.0762 2023-02-25 16:47:57,982 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 2:51:01, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9752, aux.loss_ce: 0.0271, aux.acc_seg: 97.2599, loss: 0.0759 2023-02-25 16:48:45,532 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 2:50:13, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9356, aux.loss_ce: 0.0271, aux.acc_seg: 97.2420, loss: 0.0763 2023-02-25 16:49:35,842 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 2:49:24, time: 1.006, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9400, aux.loss_ce: 0.0275, aux.acc_seg: 97.2208, loss: 0.0768 2023-02-25 16:50:23,219 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 2:48:35, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9663, aux.loss_ce: 0.0271, aux.acc_seg: 97.2510, loss: 0.0760 2023-02-25 16:51:10,721 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 2:47:47, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 97.9912, aux.loss_ce: 0.0268, aux.acc_seg: 97.2745, loss: 0.0745 2023-02-25 16:51:58,212 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 2:46:58, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0489, aux.loss_ce: 0.0268, aux.acc_seg: 97.2721, loss: 0.0734 2023-02-25 16:52:48,671 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 2:46:09, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0184, aux.loss_ce: 0.0264, aux.acc_seg: 97.2980, loss: 0.0736 2023-02-25 16:53:36,021 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 2:45:21, time: 0.947, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9789, aux.loss_ce: 0.0273, aux.acc_seg: 97.1895, loss: 0.0750 2023-02-25 16:54:23,565 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 2:44:32, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9967, aux.loss_ce: 0.0267, aux.acc_seg: 97.2999, loss: 0.0747 2023-02-25 16:55:11,528 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 2:43:43, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0460, decode.acc_seg: 98.0726, aux.loss_ce: 0.0262, aux.acc_seg: 97.3271, loss: 0.0723 2023-02-25 16:56:02,379 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 2:42:55, time: 1.017, data_time: 0.073, memory: 24831, decode.loss_ce: 0.0504, decode.acc_seg: 97.9033, aux.loss_ce: 0.0275, aux.acc_seg: 97.2292, loss: 0.0779 2023-02-25 16:56:50,303 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:56:50,304 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 2:42:06, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9427, aux.loss_ce: 0.0272, aux.acc_seg: 97.2256, loss: 0.0766 2023-02-25 16:57:38,129 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 2:41:17, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0502, decode.acc_seg: 97.9000, aux.loss_ce: 0.0281, aux.acc_seg: 97.1416, loss: 0.0783 2023-02-25 16:58:25,945 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 2:40:29, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9623, aux.loss_ce: 0.0271, aux.acc_seg: 97.2637, loss: 0.0758 2023-02-25 16:59:16,772 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 2:39:40, time: 1.017, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0130, aux.loss_ce: 0.0272, aux.acc_seg: 97.2567, loss: 0.0748 2023-02-25 17:00:04,678 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 2:38:52, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0461, decode.acc_seg: 98.0566, aux.loss_ce: 0.0264, aux.acc_seg: 97.3118, loss: 0.0724 2023-02-25 17:00:52,667 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 2:38:03, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0417, aux.loss_ce: 0.0266, aux.acc_seg: 97.2917, loss: 0.0734 2023-02-25 17:01:43,200 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 2:37:14, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0311, aux.loss_ce: 0.0269, aux.acc_seg: 97.2668, loss: 0.0739 2023-02-25 17:02:30,918 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 2:36:26, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0461, decode.acc_seg: 98.0733, aux.loss_ce: 0.0259, aux.acc_seg: 97.3583, loss: 0.0720 2023-02-25 17:03:18,545 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 2:35:37, time: 0.953, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0480, aux.loss_ce: 0.0270, aux.acc_seg: 97.2705, loss: 0.0736 2023-02-25 17:04:05,990 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 2:34:48, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9277, aux.loss_ce: 0.0275, aux.acc_seg: 97.1689, loss: 0.0766 2023-02-25 17:04:56,225 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 2:34:00, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9624, aux.loss_ce: 0.0274, aux.acc_seg: 97.2263, loss: 0.0765 2023-02-25 17:05:44,276 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 2:33:11, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0464, decode.acc_seg: 98.0514, aux.loss_ce: 0.0263, aux.acc_seg: 97.3301, loss: 0.0727 2023-02-25 17:06:32,112 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 2:32:22, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0457, decode.acc_seg: 98.0689, aux.loss_ce: 0.0263, aux.acc_seg: 97.3085, loss: 0.0720 2023-02-25 17:07:19,865 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 2:31:34, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9705, aux.loss_ce: 0.0273, aux.acc_seg: 97.2243, loss: 0.0761 2023-02-25 17:08:10,347 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 2:30:45, time: 1.010, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9728, aux.loss_ce: 0.0272, aux.acc_seg: 97.2412, loss: 0.0757 2023-02-25 17:08:57,884 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 2:29:57, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9638, aux.loss_ce: 0.0268, aux.acc_seg: 97.2905, loss: 0.0758 2023-02-25 17:09:45,686 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 2:29:08, time: 0.956, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0455, aux.loss_ce: 0.0269, aux.acc_seg: 97.2761, loss: 0.0737 2023-02-25 17:10:35,792 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 2:28:19, time: 1.002, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9684, aux.loss_ce: 0.0274, aux.acc_seg: 97.2230, loss: 0.0760 2023-02-25 17:11:23,164 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 2:27:31, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9458, aux.loss_ce: 0.0278, aux.acc_seg: 97.1773, loss: 0.0770 2023-02-25 17:12:10,793 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 2:26:42, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0421, aux.loss_ce: 0.0265, aux.acc_seg: 97.3082, loss: 0.0733 2023-02-25 17:12:58,488 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:12:58,488 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 2:25:53, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0263, aux.loss_ce: 0.0267, aux.acc_seg: 97.2782, loss: 0.0737 2023-02-25 17:13:49,024 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 2:25:05, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9862, aux.loss_ce: 0.0270, aux.acc_seg: 97.2590, loss: 0.0753 2023-02-25 17:14:37,163 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 2:24:16, time: 0.962, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0171, aux.loss_ce: 0.0270, aux.acc_seg: 97.2512, loss: 0.0741 2023-02-25 17:15:24,607 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 2:23:27, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9909, aux.loss_ce: 0.0272, aux.acc_seg: 97.2382, loss: 0.0753 2023-02-25 17:16:12,126 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 2:22:39, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0500, decode.acc_seg: 97.9090, aux.loss_ce: 0.0275, aux.acc_seg: 97.2143, loss: 0.0775 2023-02-25 17:17:02,974 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 2:21:50, time: 1.017, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0044, aux.loss_ce: 0.0267, aux.acc_seg: 97.2972, loss: 0.0745 2023-02-25 17:17:50,587 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 2:21:01, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0356, aux.loss_ce: 0.0268, aux.acc_seg: 97.2710, loss: 0.0738 2023-02-25 17:18:38,184 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 2:20:13, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0484, aux.loss_ce: 0.0267, aux.acc_seg: 97.2853, loss: 0.0733 2023-02-25 17:19:25,768 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 2:19:24, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9560, aux.loss_ce: 0.0268, aux.acc_seg: 97.2751, loss: 0.0754 2023-02-25 17:20:16,202 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 2:18:36, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9171, aux.loss_ce: 0.0278, aux.acc_seg: 97.1539, loss: 0.0775 2023-02-25 17:21:03,961 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 2:17:47, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0465, decode.acc_seg: 98.0507, aux.loss_ce: 0.0262, aux.acc_seg: 97.3262, loss: 0.0728 2023-02-25 17:21:51,901 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 2:16:58, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0197, aux.loss_ce: 0.0262, aux.acc_seg: 97.2994, loss: 0.0729 2023-02-25 17:22:42,258 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 2:16:10, time: 1.007, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9924, aux.loss_ce: 0.0267, aux.acc_seg: 97.2810, loss: 0.0747 2023-02-25 17:23:30,396 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 2:15:21, time: 0.963, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9584, aux.loss_ce: 0.0278, aux.acc_seg: 97.1805, loss: 0.0768 2023-02-25 17:24:17,886 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 2:14:32, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0455, decode.acc_seg: 98.0952, aux.loss_ce: 0.0261, aux.acc_seg: 97.3434, loss: 0.0716 2023-02-25 17:25:05,405 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 2:13:44, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0487, decode.acc_seg: 97.9732, aux.loss_ce: 0.0278, aux.acc_seg: 97.1720, loss: 0.0765 2023-02-25 17:25:56,091 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 2:12:55, time: 1.014, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0456, decode.acc_seg: 98.0956, aux.loss_ce: 0.0260, aux.acc_seg: 97.3495, loss: 0.0716 2023-02-25 17:26:43,621 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 2:12:06, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9463, aux.loss_ce: 0.0273, aux.acc_seg: 97.2305, loss: 0.0764 2023-02-25 17:27:31,356 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 2:11:18, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9245, aux.loss_ce: 0.0273, aux.acc_seg: 97.2332, loss: 0.0770 2023-02-25 17:28:19,122 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 2:10:29, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0230, aux.loss_ce: 0.0264, aux.acc_seg: 97.3106, loss: 0.0736 2023-02-25 17:29:10,115 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:29:10,115 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 2:09:41, time: 1.020, data_time: 0.077, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9493, aux.loss_ce: 0.0276, aux.acc_seg: 97.1852, loss: 0.0766 2023-02-25 17:29:57,804 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 2:08:52, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9572, aux.loss_ce: 0.0272, aux.acc_seg: 97.2533, loss: 0.0762 2023-02-25 17:30:45,225 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 2:08:03, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9445, aux.loss_ce: 0.0271, aux.acc_seg: 97.2397, loss: 0.0761 2023-02-25 17:31:35,626 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 2:07:15, time: 1.008, data_time: 0.063, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9745, aux.loss_ce: 0.0269, aux.acc_seg: 97.2606, loss: 0.0753 2023-02-25 17:32:23,492 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 2:06:26, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9947, aux.loss_ce: 0.0269, aux.acc_seg: 97.2730, loss: 0.0752 2023-02-25 17:33:11,283 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 2:05:37, time: 0.956, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0498, decode.acc_seg: 97.9204, aux.loss_ce: 0.0278, aux.acc_seg: 97.1701, loss: 0.0776 2023-02-25 17:33:58,883 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 2:04:49, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9210, aux.loss_ce: 0.0273, aux.acc_seg: 97.2081, loss: 0.0768 2023-02-25 17:34:49,289 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 2:04:00, time: 1.008, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0111, aux.loss_ce: 0.0265, aux.acc_seg: 97.2953, loss: 0.0739 2023-02-25 17:35:37,588 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 2:03:11, time: 0.966, data_time: 0.022, memory: 24831, decode.loss_ce: 0.0509, decode.acc_seg: 97.8642, aux.loss_ce: 0.0276, aux.acc_seg: 97.1847, loss: 0.0785 2023-02-25 17:36:25,513 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 2:02:23, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9763, aux.loss_ce: 0.0276, aux.acc_seg: 97.1870, loss: 0.0757 2023-02-25 17:37:13,110 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 2:01:34, time: 0.952, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9830, aux.loss_ce: 0.0275, aux.acc_seg: 97.1882, loss: 0.0757 2023-02-25 17:38:04,869 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 2:00:46, time: 1.035, data_time: 0.082, memory: 24831, decode.loss_ce: 0.0460, decode.acc_seg: 98.0814, aux.loss_ce: 0.0265, aux.acc_seg: 97.3210, loss: 0.0725 2023-02-25 17:38:52,907 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 1:59:57, time: 0.961, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9619, aux.loss_ce: 0.0270, aux.acc_seg: 97.2635, loss: 0.0758 2023-02-25 17:39:40,339 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 1:59:08, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0053, aux.loss_ce: 0.0264, aux.acc_seg: 97.3122, loss: 0.0743 2023-02-25 17:40:27,816 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 1:58:20, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0044, aux.loss_ce: 0.0276, aux.acc_seg: 97.1980, loss: 0.0753 2023-02-25 17:41:18,265 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 1:57:31, time: 1.009, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0093, aux.loss_ce: 0.0270, aux.acc_seg: 97.2808, loss: 0.0747 2023-02-25 17:42:06,020 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 1:56:42, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9580, aux.loss_ce: 0.0272, aux.acc_seg: 97.2182, loss: 0.0757 2023-02-25 17:42:53,998 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 1:55:54, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9802, aux.loss_ce: 0.0267, aux.acc_seg: 97.2563, loss: 0.0747 2023-02-25 17:43:44,496 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 1:55:05, time: 1.010, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9656, aux.loss_ce: 0.0274, aux.acc_seg: 97.2224, loss: 0.0760 2023-02-25 17:44:32,936 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 1:54:16, time: 0.969, data_time: 0.019, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9325, aux.loss_ce: 0.0271, aux.acc_seg: 97.2451, loss: 0.0767 2023-02-25 17:45:20,701 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:45:20,702 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 1:53:28, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0501, decode.acc_seg: 97.8942, aux.loss_ce: 0.0282, aux.acc_seg: 97.1272, loss: 0.0783 2023-02-25 17:46:08,656 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 1:52:39, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9233, aux.loss_ce: 0.0270, aux.acc_seg: 97.2592, loss: 0.0766 2023-02-25 17:46:59,103 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 1:51:51, time: 1.009, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0124, aux.loss_ce: 0.0269, aux.acc_seg: 97.2664, loss: 0.0745 2023-02-25 17:47:46,786 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 1:51:02, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9617, aux.loss_ce: 0.0274, aux.acc_seg: 97.2070, loss: 0.0762 2023-02-25 17:48:34,696 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 1:50:13, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9466, aux.loss_ce: 0.0267, aux.acc_seg: 97.2763, loss: 0.0757 2023-02-25 17:49:22,454 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 1:49:25, time: 0.955, data_time: 0.016, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0057, aux.loss_ce: 0.0267, aux.acc_seg: 97.2735, loss: 0.0741 2023-02-25 17:50:12,932 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 1:48:36, time: 1.009, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0373, aux.loss_ce: 0.0263, aux.acc_seg: 97.3440, loss: 0.0734 2023-02-25 17:51:00,949 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 1:47:47, time: 0.961, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9369, aux.loss_ce: 0.0280, aux.acc_seg: 97.1867, loss: 0.0775 2023-02-25 17:51:48,359 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 1:46:59, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9215, aux.loss_ce: 0.0267, aux.acc_seg: 97.2646, loss: 0.0760 2023-02-25 17:52:35,794 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 1:46:10, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0468, decode.acc_seg: 98.0339, aux.loss_ce: 0.0269, aux.acc_seg: 97.2618, loss: 0.0737 2023-02-25 17:53:26,484 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 1:45:21, time: 1.014, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9657, aux.loss_ce: 0.0268, aux.acc_seg: 97.2442, loss: 0.0748 2023-02-25 17:54:14,353 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 1:44:33, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9540, aux.loss_ce: 0.0268, aux.acc_seg: 97.2869, loss: 0.0759 2023-02-25 17:55:01,803 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 1:43:44, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0400, aux.loss_ce: 0.0274, aux.acc_seg: 97.2140, loss: 0.0743 2023-02-25 17:55:52,414 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 1:42:56, time: 1.012, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9610, aux.loss_ce: 0.0273, aux.acc_seg: 97.2132, loss: 0.0759 2023-02-25 17:56:40,404 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 1:42:07, time: 0.960, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9404, aux.loss_ce: 0.0275, aux.acc_seg: 97.2024, loss: 0.0767 2023-02-25 17:57:28,139 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 1:41:18, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9680, aux.loss_ce: 0.0271, aux.acc_seg: 97.2378, loss: 0.0756 2023-02-25 17:58:15,802 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 1:40:30, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9840, aux.loss_ce: 0.0268, aux.acc_seg: 97.2745, loss: 0.0751 2023-02-25 17:59:06,161 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 1:39:41, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9780, aux.loss_ce: 0.0273, aux.acc_seg: 97.2370, loss: 0.0757 2023-02-25 17:59:53,904 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 1:38:52, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9411, aux.loss_ce: 0.0269, aux.acc_seg: 97.2581, loss: 0.0761 2023-02-25 18:00:41,457 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 1:38:04, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0465, decode.acc_seg: 98.0435, aux.loss_ce: 0.0273, aux.acc_seg: 97.2201, loss: 0.0738 2023-02-25 18:01:29,033 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:01:29,034 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 1:37:15, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0077, aux.loss_ce: 0.0269, aux.acc_seg: 97.2732, loss: 0.0746 2023-02-25 18:02:19,609 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 1:36:26, time: 1.011, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0464, decode.acc_seg: 98.0480, aux.loss_ce: 0.0266, aux.acc_seg: 97.2847, loss: 0.0730 2023-02-25 18:03:07,818 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 1:35:38, time: 0.965, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9486, aux.loss_ce: 0.0277, aux.acc_seg: 97.1860, loss: 0.0769 2023-02-25 18:03:55,708 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 1:34:49, time: 0.958, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0167, aux.loss_ce: 0.0264, aux.acc_seg: 97.3047, loss: 0.0737 2023-02-25 18:04:46,452 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 1:34:01, time: 1.015, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0459, decode.acc_seg: 98.0773, aux.loss_ce: 0.0271, aux.acc_seg: 97.2477, loss: 0.0730 2023-02-25 18:05:34,013 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 1:33:12, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0211, aux.loss_ce: 0.0270, aux.acc_seg: 97.2630, loss: 0.0744 2023-02-25 18:06:21,569 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 1:32:23, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9391, aux.loss_ce: 0.0270, aux.acc_seg: 97.2536, loss: 0.0762 2023-02-25 18:07:09,660 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 1:31:35, time: 0.962, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9793, aux.loss_ce: 0.0274, aux.acc_seg: 97.2238, loss: 0.0757 2023-02-25 18:08:00,295 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 1:30:46, time: 1.012, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0469, decode.acc_seg: 98.0430, aux.loss_ce: 0.0267, aux.acc_seg: 97.2999, loss: 0.0736 2023-02-25 18:08:47,723 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 1:29:57, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9464, aux.loss_ce: 0.0269, aux.acc_seg: 97.2694, loss: 0.0758 2023-02-25 18:09:35,296 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 1:29:09, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0108, aux.loss_ce: 0.0260, aux.acc_seg: 97.3463, loss: 0.0735 2023-02-25 18:10:22,766 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 1:28:20, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9273, aux.loss_ce: 0.0268, aux.acc_seg: 97.2740, loss: 0.0762 2023-02-25 18:11:13,347 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 1:27:32, time: 1.011, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0154, aux.loss_ce: 0.0266, aux.acc_seg: 97.3011, loss: 0.0740 2023-02-25 18:12:01,198 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 1:26:43, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0567, aux.loss_ce: 0.0265, aux.acc_seg: 97.3087, loss: 0.0728 2023-02-25 18:12:48,850 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 1:25:54, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9840, aux.loss_ce: 0.0283, aux.acc_seg: 97.1231, loss: 0.0767 2023-02-25 18:13:36,578 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 1:25:06, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9852, aux.loss_ce: 0.0269, aux.acc_seg: 97.2664, loss: 0.0754 2023-02-25 18:14:26,815 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 1:24:17, time: 1.005, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9965, aux.loss_ce: 0.0277, aux.acc_seg: 97.1788, loss: 0.0755 2023-02-25 18:15:14,423 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 1:23:28, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9976, aux.loss_ce: 0.0270, aux.acc_seg: 97.2687, loss: 0.0748 2023-02-25 18:16:01,871 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 1:22:40, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0014, aux.loss_ce: 0.0271, aux.acc_seg: 97.2412, loss: 0.0749 2023-02-25 18:16:52,657 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 1:21:51, time: 1.016, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0361, aux.loss_ce: 0.0264, aux.acc_seg: 97.3147, loss: 0.0731 2023-02-25 18:17:40,191 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:17:40,191 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 1:21:02, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9603, aux.loss_ce: 0.0276, aux.acc_seg: 97.1984, loss: 0.0763 2023-02-25 18:18:27,948 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 1:20:14, time: 0.955, data_time: 0.013, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0209, aux.loss_ce: 0.0272, aux.acc_seg: 97.2433, loss: 0.0745 2023-02-25 18:19:15,508 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 1:19:25, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0499, decode.acc_seg: 97.9174, aux.loss_ce: 0.0273, aux.acc_seg: 97.2259, loss: 0.0772 2023-02-25 18:20:05,980 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 1:18:37, time: 1.009, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0201, aux.loss_ce: 0.0262, aux.acc_seg: 97.3336, loss: 0.0734 2023-02-25 18:20:53,801 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 1:17:48, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0458, decode.acc_seg: 98.0803, aux.loss_ce: 0.0259, aux.acc_seg: 97.3630, loss: 0.0717 2023-02-25 18:21:41,257 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 1:16:59, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9497, aux.loss_ce: 0.0264, aux.acc_seg: 97.2843, loss: 0.0749 2023-02-25 18:22:28,796 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 1:16:11, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9838, aux.loss_ce: 0.0274, aux.acc_seg: 97.2161, loss: 0.0757 2023-02-25 18:23:19,193 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 1:15:22, time: 1.008, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9966, aux.loss_ce: 0.0263, aux.acc_seg: 97.3148, loss: 0.0742 2023-02-25 18:24:06,766 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 1:14:33, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9751, aux.loss_ce: 0.0270, aux.acc_seg: 97.2478, loss: 0.0754 2023-02-25 18:24:54,392 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 1:13:45, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9423, aux.loss_ce: 0.0276, aux.acc_seg: 97.1842, loss: 0.0766 2023-02-25 18:25:45,219 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 1:12:56, time: 1.017, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0265, aux.loss_ce: 0.0265, aux.acc_seg: 97.3097, loss: 0.0735 2023-02-25 18:26:32,852 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 1:12:07, time: 0.953, data_time: 0.015, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9582, aux.loss_ce: 0.0267, aux.acc_seg: 97.2994, loss: 0.0755 2023-02-25 18:27:20,456 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 1:11:19, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9854, aux.loss_ce: 0.0267, aux.acc_seg: 97.2793, loss: 0.0748 2023-02-25 18:28:07,958 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 1:10:30, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9873, aux.loss_ce: 0.0276, aux.acc_seg: 97.1815, loss: 0.0756 2023-02-25 18:28:58,688 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 1:09:42, time: 1.015, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9563, aux.loss_ce: 0.0274, aux.acc_seg: 97.2170, loss: 0.0759 2023-02-25 18:29:46,281 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 1:08:53, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0466, decode.acc_seg: 98.0557, aux.loss_ce: 0.0264, aux.acc_seg: 97.3286, loss: 0.0730 2023-02-25 18:30:33,846 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 1:08:04, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0328, aux.loss_ce: 0.0269, aux.acc_seg: 97.2710, loss: 0.0739 2023-02-25 18:31:21,442 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 1:07:16, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0461, decode.acc_seg: 98.0688, aux.loss_ce: 0.0271, aux.acc_seg: 97.2406, loss: 0.0732 2023-02-25 18:32:11,745 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 1:06:27, time: 1.006, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9991, aux.loss_ce: 0.0273, aux.acc_seg: 97.2229, loss: 0.0752 2023-02-25 18:32:59,156 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 1:05:38, time: 0.948, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9642, aux.loss_ce: 0.0269, aux.acc_seg: 97.2722, loss: 0.0757 2023-02-25 18:33:46,743 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:33:46,744 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 1:04:50, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0162, aux.loss_ce: 0.0273, aux.acc_seg: 97.2258, loss: 0.0745 2023-02-25 18:34:34,264 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 1:04:01, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9410, aux.loss_ce: 0.0275, aux.acc_seg: 97.2005, loss: 0.0767 2023-02-25 18:35:25,128 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 1:03:12, time: 1.017, data_time: 0.079, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9019, aux.loss_ce: 0.0272, aux.acc_seg: 97.2214, loss: 0.0768 2023-02-25 18:36:13,205 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 1:02:24, time: 0.961, data_time: 0.020, memory: 24831, decode.loss_ce: 0.0459, decode.acc_seg: 98.0771, aux.loss_ce: 0.0262, aux.acc_seg: 97.3185, loss: 0.0721 2023-02-25 18:37:00,827 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 1:01:35, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0366, aux.loss_ce: 0.0264, aux.acc_seg: 97.3353, loss: 0.0737 2023-02-25 18:37:51,478 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 1:00:47, time: 1.013, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0163, aux.loss_ce: 0.0275, aux.acc_seg: 97.2358, loss: 0.0750 2023-02-25 18:38:38,998 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 0:59:58, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9833, aux.loss_ce: 0.0268, aux.acc_seg: 97.2703, loss: 0.0750 2023-02-25 18:39:26,509 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 0:59:09, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0477, decode.acc_seg: 98.0066, aux.loss_ce: 0.0270, aux.acc_seg: 97.2694, loss: 0.0747 2023-02-25 18:40:14,044 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 0:58:21, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0010, aux.loss_ce: 0.0270, aux.acc_seg: 97.2499, loss: 0.0746 2023-02-25 18:41:04,390 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 0:57:32, time: 1.007, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 98.0113, aux.loss_ce: 0.0267, aux.acc_seg: 97.2962, loss: 0.0747 2023-02-25 18:41:51,987 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 0:56:43, time: 0.952, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9724, aux.loss_ce: 0.0273, aux.acc_seg: 97.2469, loss: 0.0758 2023-02-25 18:42:39,546 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 0:55:55, time: 0.951, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9875, aux.loss_ce: 0.0271, aux.acc_seg: 97.2393, loss: 0.0753 2023-02-25 18:43:27,102 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 0:55:06, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9467, aux.loss_ce: 0.0273, aux.acc_seg: 97.2319, loss: 0.0761 2023-02-25 18:44:17,945 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 0:54:17, time: 1.017, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9788, aux.loss_ce: 0.0274, aux.acc_seg: 97.2095, loss: 0.0760 2023-02-25 18:45:05,666 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 0:53:29, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0465, decode.acc_seg: 98.0498, aux.loss_ce: 0.0267, aux.acc_seg: 97.2936, loss: 0.0732 2023-02-25 18:45:53,196 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 0:52:40, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0465, decode.acc_seg: 98.0547, aux.loss_ce: 0.0266, aux.acc_seg: 97.3096, loss: 0.0731 2023-02-25 18:46:43,804 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 0:51:52, time: 1.012, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0482, decode.acc_seg: 97.9821, aux.loss_ce: 0.0268, aux.acc_seg: 97.2790, loss: 0.0751 2023-02-25 18:47:31,744 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 0:51:03, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0131, aux.loss_ce: 0.0269, aux.acc_seg: 97.2512, loss: 0.0741 2023-02-25 18:48:19,200 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:50:14, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0238, aux.loss_ce: 0.0268, aux.acc_seg: 97.2707, loss: 0.0740 2023-02-25 18:49:06,753 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:49:26, time: 0.951, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0447, decode.acc_seg: 98.1245, aux.loss_ce: 0.0254, aux.acc_seg: 97.4043, loss: 0.0701 2023-02-25 18:49:57,380 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:49:57,381 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:48:37, time: 1.012, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9642, aux.loss_ce: 0.0270, aux.acc_seg: 97.2440, loss: 0.0755 2023-02-25 18:50:45,122 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:47:48, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9643, aux.loss_ce: 0.0277, aux.acc_seg: 97.1862, loss: 0.0763 2023-02-25 18:51:32,895 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:47:00, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0555, aux.loss_ce: 0.0263, aux.acc_seg: 97.3229, loss: 0.0730 2023-02-25 18:52:20,550 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:46:11, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0467, decode.acc_seg: 98.0410, aux.loss_ce: 0.0270, aux.acc_seg: 97.2527, loss: 0.0737 2023-02-25 18:53:11,023 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:45:23, time: 1.009, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9620, aux.loss_ce: 0.0276, aux.acc_seg: 97.1886, loss: 0.0760 2023-02-25 18:53:58,841 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:44:34, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9909, aux.loss_ce: 0.0269, aux.acc_seg: 97.2800, loss: 0.0750 2023-02-25 18:54:46,657 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:43:45, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0474, decode.acc_seg: 98.0187, aux.loss_ce: 0.0266, aux.acc_seg: 97.2893, loss: 0.0740 2023-02-25 18:55:34,337 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:42:57, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9930, aux.loss_ce: 0.0264, aux.acc_seg: 97.3272, loss: 0.0744 2023-02-25 18:56:25,103 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:42:08, time: 1.015, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9476, aux.loss_ce: 0.0278, aux.acc_seg: 97.1817, loss: 0.0769 2023-02-25 18:57:12,858 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:41:19, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0462, decode.acc_seg: 98.0680, aux.loss_ce: 0.0262, aux.acc_seg: 97.3389, loss: 0.0723 2023-02-25 18:58:00,625 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:40:31, time: 0.955, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0485, decode.acc_seg: 97.9624, aux.loss_ce: 0.0272, aux.acc_seg: 97.2069, loss: 0.0757 2023-02-25 18:58:51,229 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:39:42, time: 1.012, data_time: 0.069, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 97.9981, aux.loss_ce: 0.0267, aux.acc_seg: 97.2723, loss: 0.0745 2023-02-25 18:59:38,919 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:38:54, time: 0.954, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0462, decode.acc_seg: 98.0676, aux.loss_ce: 0.0269, aux.acc_seg: 97.2648, loss: 0.0730 2023-02-25 19:00:26,609 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:38:05, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 97.9934, aux.loss_ce: 0.0270, aux.acc_seg: 97.2545, loss: 0.0745 2023-02-25 19:01:14,118 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:37:16, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9848, aux.loss_ce: 0.0274, aux.acc_seg: 97.2122, loss: 0.0753 2023-02-25 19:02:04,364 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:36:28, time: 1.005, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0495, aux.loss_ce: 0.0267, aux.acc_seg: 97.2733, loss: 0.0730 2023-02-25 19:02:52,106 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:35:39, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9507, aux.loss_ce: 0.0268, aux.acc_seg: 97.2515, loss: 0.0756 2023-02-25 19:03:39,786 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:34:50, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0102, aux.loss_ce: 0.0268, aux.acc_seg: 97.3047, loss: 0.0746 2023-02-25 19:04:27,332 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:34:02, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0491, decode.acc_seg: 97.9574, aux.loss_ce: 0.0273, aux.acc_seg: 97.2350, loss: 0.0764 2023-02-25 19:05:17,781 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:33:13, time: 1.009, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0489, decode.acc_seg: 97.9467, aux.loss_ce: 0.0269, aux.acc_seg: 97.2585, loss: 0.0758 2023-02-25 19:06:05,562 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:06:05,563 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:32:25, time: 0.956, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9991, aux.loss_ce: 0.0272, aux.acc_seg: 97.2442, loss: 0.0753 2023-02-25 19:06:53,660 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:31:36, time: 0.962, data_time: 0.018, memory: 24831, decode.loss_ce: 0.0478, decode.acc_seg: 98.0074, aux.loss_ce: 0.0274, aux.acc_seg: 97.2089, loss: 0.0752 2023-02-25 19:07:41,761 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:30:47, time: 0.962, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0211, aux.loss_ce: 0.0264, aux.acc_seg: 97.2984, loss: 0.0734 2023-02-25 19:08:32,393 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:29:59, time: 1.013, data_time: 0.067, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9949, aux.loss_ce: 0.0267, aux.acc_seg: 97.2794, loss: 0.0746 2023-02-25 19:09:20,181 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:29:10, time: 0.956, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0471, decode.acc_seg: 98.0340, aux.loss_ce: 0.0277, aux.acc_seg: 97.2131, loss: 0.0748 2023-02-25 19:10:07,889 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:28:21, time: 0.954, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0066, aux.loss_ce: 0.0262, aux.acc_seg: 97.3296, loss: 0.0737 2023-02-25 19:10:58,154 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:27:33, time: 1.005, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0097, aux.loss_ce: 0.0267, aux.acc_seg: 97.2822, loss: 0.0743 2023-02-25 19:11:45,996 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:26:44, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 97.9906, aux.loss_ce: 0.0267, aux.acc_seg: 97.2840, loss: 0.0745 2023-02-25 19:12:33,440 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:25:55, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0479, decode.acc_seg: 98.0070, aux.loss_ce: 0.0270, aux.acc_seg: 97.2610, loss: 0.0749 2023-02-25 19:13:21,278 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:25:07, time: 0.957, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0496, decode.acc_seg: 97.9267, aux.loss_ce: 0.0274, aux.acc_seg: 97.1950, loss: 0.0771 2023-02-25 19:14:11,601 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:24:18, time: 1.006, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0480, decode.acc_seg: 97.9926, aux.loss_ce: 0.0274, aux.acc_seg: 97.2133, loss: 0.0754 2023-02-25 19:14:59,190 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:23:30, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0295, aux.loss_ce: 0.0268, aux.acc_seg: 97.2867, loss: 0.0740 2023-02-25 19:15:46,835 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:22:41, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0481, decode.acc_seg: 97.9985, aux.loss_ce: 0.0268, aux.acc_seg: 97.2858, loss: 0.0749 2023-02-25 19:16:34,803 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:21:52, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0497, decode.acc_seg: 97.9397, aux.loss_ce: 0.0278, aux.acc_seg: 97.2055, loss: 0.0776 2023-02-25 19:17:25,409 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:21:04, time: 1.012, data_time: 0.068, memory: 24831, decode.loss_ce: 0.0473, decode.acc_seg: 98.0118, aux.loss_ce: 0.0272, aux.acc_seg: 97.2197, loss: 0.0745 2023-02-25 19:18:13,318 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:20:15, time: 0.958, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9827, aux.loss_ce: 0.0270, aux.acc_seg: 97.2523, loss: 0.0754 2023-02-25 19:19:01,230 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:19:26, time: 0.958, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0354, aux.loss_ce: 0.0265, aux.acc_seg: 97.2931, loss: 0.0735 2023-02-25 19:19:52,126 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:18:38, time: 1.018, data_time: 0.076, memory: 24831, decode.loss_ce: 0.0483, decode.acc_seg: 97.9810, aux.loss_ce: 0.0269, aux.acc_seg: 97.2752, loss: 0.0752 2023-02-25 19:20:39,626 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:17:49, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9510, aux.loss_ce: 0.0277, aux.acc_seg: 97.1895, loss: 0.0766 2023-02-25 19:21:27,284 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:17:01, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0458, decode.acc_seg: 98.0968, aux.loss_ce: 0.0263, aux.acc_seg: 97.3525, loss: 0.0720 2023-02-25 19:22:14,861 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:22:14,861 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:16:12, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0020, aux.loss_ce: 0.0271, aux.acc_seg: 97.2531, loss: 0.0747 2023-02-25 19:23:05,628 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:15:23, time: 1.015, data_time: 0.075, memory: 24831, decode.loss_ce: 0.0463, decode.acc_seg: 98.0656, aux.loss_ce: 0.0270, aux.acc_seg: 97.2412, loss: 0.0734 2023-02-25 19:23:53,493 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:14:35, time: 0.957, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9264, aux.loss_ce: 0.0273, aux.acc_seg: 97.2249, loss: 0.0768 2023-02-25 19:24:41,237 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:13:46, time: 0.955, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0129, aux.loss_ce: 0.0258, aux.acc_seg: 97.3455, loss: 0.0729 2023-02-25 19:25:28,739 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:12:57, time: 0.950, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0488, decode.acc_seg: 97.9671, aux.loss_ce: 0.0269, aux.acc_seg: 97.2859, loss: 0.0758 2023-02-25 19:26:19,500 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:12:09, time: 1.015, data_time: 0.072, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9602, aux.loss_ce: 0.0267, aux.acc_seg: 97.2804, loss: 0.0753 2023-02-25 19:27:07,137 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:11:20, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0492, decode.acc_seg: 97.9423, aux.loss_ce: 0.0270, aux.acc_seg: 97.2524, loss: 0.0761 2023-02-25 19:27:54,859 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:10:32, time: 0.955, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0465, decode.acc_seg: 98.0464, aux.loss_ce: 0.0272, aux.acc_seg: 97.2391, loss: 0.0737 2023-02-25 19:28:42,708 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:09:43, time: 0.957, data_time: 0.012, memory: 24831, decode.loss_ce: 0.0470, decode.acc_seg: 98.0215, aux.loss_ce: 0.0271, aux.acc_seg: 97.2350, loss: 0.0741 2023-02-25 19:29:32,966 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:08:54, time: 1.005, data_time: 0.065, memory: 24831, decode.loss_ce: 0.0495, decode.acc_seg: 97.9261, aux.loss_ce: 0.0271, aux.acc_seg: 97.2330, loss: 0.0765 2023-02-25 19:30:20,441 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:08:06, time: 0.950, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0472, decode.acc_seg: 98.0265, aux.loss_ce: 0.0265, aux.acc_seg: 97.3059, loss: 0.0737 2023-02-25 19:31:07,910 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:07:17, time: 0.949, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0506, decode.acc_seg: 97.8946, aux.loss_ce: 0.0277, aux.acc_seg: 97.1961, loss: 0.0784 2023-02-25 19:31:58,539 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:06:28, time: 1.013, data_time: 0.066, memory: 24831, decode.loss_ce: 0.0490, decode.acc_seg: 97.9569, aux.loss_ce: 0.0274, aux.acc_seg: 97.2138, loss: 0.0764 2023-02-25 19:32:46,813 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:05:40, time: 0.965, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0494, decode.acc_seg: 97.9203, aux.loss_ce: 0.0276, aux.acc_seg: 97.1723, loss: 0.0770 2023-02-25 19:33:34,450 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:04:51, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0476, decode.acc_seg: 98.0102, aux.loss_ce: 0.0265, aux.acc_seg: 97.3073, loss: 0.0742 2023-02-25 19:34:22,391 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:04:03, time: 0.959, data_time: 0.010, memory: 24831, decode.loss_ce: 0.0486, decode.acc_seg: 97.9667, aux.loss_ce: 0.0269, aux.acc_seg: 97.2623, loss: 0.0755 2023-02-25 19:35:12,791 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:03:14, time: 1.008, data_time: 0.064, memory: 24831, decode.loss_ce: 0.0503, decode.acc_seg: 97.8976, aux.loss_ce: 0.0280, aux.acc_seg: 97.1713, loss: 0.0783 2023-02-25 19:36:00,753 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:02:25, time: 0.959, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0493, decode.acc_seg: 97.9494, aux.loss_ce: 0.0276, aux.acc_seg: 97.2180, loss: 0.0768 2023-02-25 19:36:48,340 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:01:37, time: 0.952, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0475, decode.acc_seg: 98.0144, aux.loss_ce: 0.0265, aux.acc_seg: 97.2926, loss: 0.0740 2023-02-25 19:37:35,978 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:48, time: 0.953, data_time: 0.011, memory: 24831, decode.loss_ce: 0.0484, decode.acc_seg: 97.9589, aux.loss_ce: 0.0272, aux.acc_seg: 97.2220, loss: 0.0756 2023-02-25 19:38:26,418 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-02-25 19:38:28,301 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:38:28,302 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 1.046, data_time: 0.070, memory: 24831, decode.loss_ce: 0.0458, decode.acc_seg: 98.0853, aux.loss_ce: 0.0262, aux.acc_seg: 97.3329, loss: 0.0720 2023-02-25 19:39:25,053 - mmseg - INFO - per class results: 2023-02-25 19:39:25,056 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.56 | 99.27 | | sidewalk | 87.99 | 93.58 | | building | 93.47 | 97.35 | | wall | 60.72 | 65.77 | | fence | 66.17 | 72.13 | | pole | 71.76 | 81.44 | | traffic light | 76.0 | 85.5 | | traffic sign | 84.18 | 90.21 | | vegetation | 93.37 | 96.87 | | terrain | 69.06 | 77.48 | | sky | 95.38 | 98.49 | | person | 85.55 | 93.56 | | rider | 67.57 | 77.87 | | car | 95.99 | 98.32 | | truck | 81.67 | 84.35 | | bus | 92.68 | 95.91 | | train | 87.84 | 89.99 | | motorcycle | 71.96 | 81.48 | | bicycle | 81.74 | 91.11 | +---------------+-------+-------+ 2023-02-25 19:39:25,056 - mmseg - INFO - Summary: 2023-02-25 19:39:25,056 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.78 | 82.19 | 87.93 | +-------+-------+-------+ 2023-02-25 19:39:25,057 - mmseg - INFO - Exp name: deform_convnext_s_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:39:25,057 - mmseg - INFO - Iter(val) [125] aAcc: 0.9678, mIoU: 0.8219, mAcc: 0.8793, IoU.road: 0.9856, IoU.sidewalk: 0.8799, IoU.building: 0.9347, IoU.wall: 0.6072, IoU.fence: 0.6617, IoU.pole: 0.7176, IoU.traffic light: 0.7600, IoU.traffic sign: 0.8418, IoU.vegetation: 0.9337, IoU.terrain: 0.6906, IoU.sky: 0.9538, IoU.person: 0.8555, IoU.rider: 0.6757, IoU.car: 0.9599, IoU.truck: 0.8167, IoU.bus: 0.9268, IoU.train: 0.8784, IoU.motorcycle: 0.7196, IoU.bicycle: 0.8174, Acc.road: 0.9927, Acc.sidewalk: 0.9358, Acc.building: 0.9735, Acc.wall: 0.6577, Acc.fence: 0.7213, Acc.pole: 0.8144, Acc.traffic light: 0.8550, Acc.traffic sign: 0.9021, Acc.vegetation: 0.9687, Acc.terrain: 0.7748, Acc.sky: 0.9849, Acc.person: 0.9356, Acc.rider: 0.7787, Acc.car: 0.9832, Acc.truck: 0.8435, Acc.bus: 0.9591, Acc.train: 0.8999, Acc.motorcycle: 0.8148, Acc.bicycle: 0.9111