2023-02-24 09:10:32,504 - mmseg - INFO - Multi-processing start method is `None` 2023-02-24 09:10:32,504 - mmseg - INFO - OpenCV num_threads is `44 2023-02-24 09:10:32,504 - mmseg - INFO - OMP num threads is 1 2023-02-24 09:10:32,631 - 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 09:10:32,632 - mmseg - INFO - Distributed training: True 2023-02-24 09:10:34,503 - 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=2, 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-large_3rdparty_in21k_20220301-e6e0ea0a.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='large', out_indices=[0, 1, 2, 3], drop_path_rate=0.4, layer_scale_init_value=1.0, gap_before_final_norm=False, init_cfg=dict( type='Pretrained', checkpoint= 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth', prefix='backbone.')), neck=[ dict( type='FPN', in_channels=[192, 384, 768, 1536], 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_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/' gpu_ids = range(0, 4) auto_resume = True 2023-02-24 09:10:37,018 - mmseg - INFO - Set random seed to 834498657, deterministic: True 2023-02-24 09:10:38,820 - mmseg - INFO - initialize ConvNeXt with init_cfg {'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth', 'prefix': 'backbone.'} 2023-02-24 09:12:31,303 - mmseg - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-02-24 09:12:31,328 - mmseg - INFO - initialize MultiStageMerging with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-02-24 09:12:31,397 - 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([192, 3, 4, 4]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.0.0.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.0.1.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.0.1.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.1.0.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.1.0.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.1.1.weight - torch.Size([384, 192, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.1.1.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.2.0.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.2.0.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.2.1.weight - torch.Size([768, 384, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.2.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.3.0.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.3.0.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.3.1.weight - torch.Size([1536, 768, 2, 2]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.downsample_layers.3.1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.gamma - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.depthwise_conv.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.norm.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.norm.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.pointwise_conv1.weight - torch.Size([768, 192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.pointwise_conv1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.pointwise_conv2.weight - torch.Size([192, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.0.pointwise_conv2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.gamma - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.depthwise_conv.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.norm.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.norm.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.pointwise_conv1.weight - torch.Size([768, 192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.pointwise_conv1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.pointwise_conv2.weight - torch.Size([192, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.1.pointwise_conv2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.gamma - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.depthwise_conv.weight - torch.Size([192, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.depthwise_conv.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.norm.weight - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.norm.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.pointwise_conv1.weight - torch.Size([768, 192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.pointwise_conv1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.pointwise_conv2.weight - torch.Size([192, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.0.2.pointwise_conv2.bias - torch.Size([192]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.0.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.1.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.gamma - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.depthwise_conv.weight - torch.Size([384, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.depthwise_conv.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.norm.weight - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.norm.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.pointwise_conv1.weight - torch.Size([1536, 384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.pointwise_conv1.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.pointwise_conv2.weight - torch.Size([384, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.1.2.pointwise_conv2.bias - torch.Size([384]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.0.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.1.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.2.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.3.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.4.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.5.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.6.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.7.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.8.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.9.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.10.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.11.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.12.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.13.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.14.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.15.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.16.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.17.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.18.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.19.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.20.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.21.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.22.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.23.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.24.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.25.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.gamma - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.depthwise_conv.weight - torch.Size([768, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.depthwise_conv.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.norm.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.norm.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.pointwise_conv1.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.pointwise_conv1.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.pointwise_conv2.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.2.26.pointwise_conv2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.gamma - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.depthwise_conv.weight - torch.Size([1536, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.depthwise_conv.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.norm.weight - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.norm.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.pointwise_conv1.weight - torch.Size([6144, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.pointwise_conv1.bias - torch.Size([6144]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.pointwise_conv2.weight - torch.Size([1536, 6144]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.0.pointwise_conv2.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.gamma - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.depthwise_conv.weight - torch.Size([1536, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.depthwise_conv.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.norm.weight - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.norm.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.pointwise_conv1.weight - torch.Size([6144, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.pointwise_conv1.bias - torch.Size([6144]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.pointwise_conv2.weight - torch.Size([1536, 6144]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.1.pointwise_conv2.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.gamma - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.depthwise_conv.weight - torch.Size([1536, 1, 7, 7]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.depthwise_conv.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.norm.weight - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.norm.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.pointwise_conv1.weight - torch.Size([6144, 1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.pointwise_conv1.bias - torch.Size([6144]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.pointwise_conv2.weight - torch.Size([1536, 6144]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.stages.3.2.pointwise_conv2.bias - torch.Size([1536]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth backbone.norm0.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm0.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm3.weight - torch.Size([1536]): The value is the same before and after calling `init_weights` of DiffSegV20 backbone.norm3.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of DiffSegV20 neck.0.lateral_convs.0.conv.weight - torch.Size([256, 192, 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, 384, 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, 768, 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, 1536, 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 09:12:31,405 - mmseg - INFO - DiffSegV20( (backbone): ConvNeXt( (downsample_layers): ModuleList( (0): Sequential( (0): Conv2d(3, 192, kernel_size=(4, 4), stride=(4, 4)) (1): LayerNorm2d((192,), eps=1e-06, elementwise_affine=True) ) (1): Sequential( (0): LayerNorm2d((192,), eps=1e-05, elementwise_affine=True) (1): Conv2d(192, 384, kernel_size=(2, 2), stride=(2, 2)) ) (2): Sequential( (0): LayerNorm2d((384,), eps=1e-05, elementwise_affine=True) (1): Conv2d(384, 768, kernel_size=(2, 2), stride=(2, 2)) ) (3): Sequential( (0): LayerNorm2d((768,), eps=1e-05, elementwise_affine=True) (1): Conv2d(768, 1536, kernel_size=(2, 2), stride=(2, 2)) ) ) (stages): ModuleList( (0): 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): Identity() ) (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() ) ) (1): 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() ) ) (2): 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() ) (3): 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() ) (4): 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() ) (5): 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() ) (6): 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() ) (7): 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() ) (8): 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() ) (9): 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() ) (10): 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() ) (11): 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() ) (12): 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() ) (13): 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() ) (14): 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() ) (15): 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() ) (16): 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() ) (17): 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() ) (18): 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() ) (19): 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() ) (20): 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() ) (21): 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() ) (22): 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() ) (23): 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() ) (24): 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() ) (25): 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() ) (26): 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() ) ) (3): Sequential( (0): ConvNeXtBlock( (depthwise_conv): Conv2d(1536, 1536, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1536) (norm): LayerNorm2d((1536,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=1536, out_features=6144, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=6144, out_features=1536, bias=True) (drop_path): DropPath() ) (1): ConvNeXtBlock( (depthwise_conv): Conv2d(1536, 1536, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1536) (norm): LayerNorm2d((1536,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=1536, out_features=6144, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=6144, out_features=1536, bias=True) (drop_path): DropPath() ) (2): ConvNeXtBlock( (depthwise_conv): Conv2d(1536, 1536, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1536) (norm): LayerNorm2d((1536,), eps=1e-06, elementwise_affine=True) (pointwise_conv1): Linear(in_features=1536, out_features=6144, bias=True) (act): GELU(approximate=none) (pointwise_conv2): Linear(in_features=6144, out_features=1536, bias=True) (drop_path): DropPath() ) ) ) (norm0): LayerNorm2d((192,), eps=1e-06, elementwise_affine=True) (norm1): LayerNorm2d((384,), eps=1e-06, elementwise_affine=True) (norm2): LayerNorm2d((768,), eps=1e-06, elementwise_affine=True) (norm3): LayerNorm2d((1536,), eps=1e-06, elementwise_affine=True) ) init_cfg={'type': 'Pretrained', 'checkpoint': 'https://download.openmmlab.com/mmclassification/v0/convnext/downstream/convnext-large_3rdparty_in21k_20220301-e6e0ea0a.pth', 'prefix': 'backbone.'} (neck): Sequential( (0): FPN( (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(192, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(384, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(768, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (3): ConvModule( (conv): Conv2d(1536, 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 09:12:31,410 - mmseg - INFO - Model size:778.50 2023-02-24 09:12:31,724 - mmseg - INFO - Loaded 2975 images 2023-02-24 09:12:34,904 - mmseg - INFO - Loaded 500 images 2023-02-24 09:12:34,943 - 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 09:12:34,944 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-02-24 09:12:34,944 - mmseg - INFO - Checkpoints will be saved to /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20 by HardDiskBackend. 2023-02-24 09:13:42,744 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 1 day, 22:17:53, time: 1.042, data_time: 0.016, memory: 19374, decode.loss_ce: 3.2084, decode.acc_seg: 8.3793, aux.loss_ce: 1.1074, aux.acc_seg: 10.2750, loss: 4.3158 2023-02-24 09:14:31,709 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 1 day, 20:53:48, time: 0.980, data_time: 0.009, memory: 19374, decode.loss_ce: 2.0765, decode.acc_seg: 34.9011, aux.loss_ce: 1.0940, aux.acc_seg: 13.1281, loss: 3.1705 2023-02-24 09:15:20,765 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 1 day, 20:26:31, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 1.6136, decode.acc_seg: 50.0558, aux.loss_ce: 1.0700, aux.acc_seg: 21.3202, loss: 2.6836 2023-02-24 09:16:09,985 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 1 day, 20:14:40, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 1.2951, decode.acc_seg: 62.1735, aux.loss_ce: 1.0463, aux.acc_seg: 38.6608, loss: 2.3415 2023-02-24 09:16:59,134 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 1 day, 20:06:28, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.9317, decode.acc_seg: 72.2910, aux.loss_ce: 0.9902, aux.acc_seg: 59.5413, loss: 1.9220 2023-02-24 09:17:48,330 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 1 day, 20:01:05, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.8336, decode.acc_seg: 75.4000, aux.loss_ce: 0.9208, aux.acc_seg: 67.2489, loss: 1.7544 2023-02-24 09:18:37,665 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 1 day, 19:58:12, time: 0.987, data_time: 0.011, memory: 19374, decode.loss_ce: 0.7103, decode.acc_seg: 78.7436, aux.loss_ce: 0.8387, aux.acc_seg: 71.3725, loss: 1.5491 2023-02-24 09:19:29,395 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 1 day, 20:11:41, time: 1.035, data_time: 0.054, memory: 19374, decode.loss_ce: 0.6172, decode.acc_seg: 81.0618, aux.loss_ce: 0.7629, aux.acc_seg: 73.0744, loss: 1.3801 2023-02-24 09:20:18,591 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 1 day, 20:07:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.5763, decode.acc_seg: 82.2286, aux.loss_ce: 0.7013, aux.acc_seg: 73.9976, loss: 1.2776 2023-02-24 09:21:07,899 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 1 day, 20:03:43, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.5199, decode.acc_seg: 84.1377, aux.loss_ce: 0.6359, aux.acc_seg: 76.4691, loss: 1.1559 2023-02-24 09:21:57,170 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 1 day, 20:00:41, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.4930, decode.acc_seg: 84.0803, aux.loss_ce: 0.5914, aux.acc_seg: 76.3922, loss: 1.0844 2023-02-24 09:22:46,431 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 1 day, 19:57:59, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.4396, decode.acc_seg: 85.7558, aux.loss_ce: 0.5269, aux.acc_seg: 79.2350, loss: 0.9664 2023-02-24 09:23:35,737 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 1 day, 19:55:44, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.4002, decode.acc_seg: 86.9194, aux.loss_ce: 0.4852, aux.acc_seg: 80.8571, loss: 0.8854 2023-02-24 09:24:25,237 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 1 day, 19:54:28, time: 0.990, data_time: 0.014, memory: 19374, decode.loss_ce: 0.4190, decode.acc_seg: 86.1400, aux.loss_ce: 0.4618, aux.acc_seg: 80.3316, loss: 0.8808 2023-02-24 09:25:16,801 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 1 day, 20:00:32, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.3513, decode.acc_seg: 88.1203, aux.loss_ce: 0.4207, aux.acc_seg: 82.3827, loss: 0.7721 2023-02-24 09:26:05,965 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 1 day, 19:57:46, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3479, decode.acc_seg: 88.0559, aux.loss_ce: 0.3903, aux.acc_seg: 82.7312, loss: 0.7382 2023-02-24 09:26:55,289 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 1 day, 19:55:43, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3698, decode.acc_seg: 87.6687, aux.loss_ce: 0.3715, aux.acc_seg: 82.5677, loss: 0.7413 2023-02-24 09:27:44,455 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 1 day, 19:53:23, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.3708, decode.acc_seg: 87.6196, aux.loss_ce: 0.3478, aux.acc_seg: 82.7368, loss: 0.7187 2023-02-24 09:28:33,723 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 1 day, 19:51:26, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3465, decode.acc_seg: 88.0875, aux.loss_ce: 0.3251, aux.acc_seg: 83.3585, loss: 0.6716 2023-02-24 09:29:22,940 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:29:22,941 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 1 day, 19:49:32, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3377, decode.acc_seg: 88.6081, aux.loss_ce: 0.3140, aux.acc_seg: 83.4341, loss: 0.6517 2023-02-24 09:30:12,306 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 1 day, 19:48:05, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3239, decode.acc_seg: 89.0473, aux.loss_ce: 0.2833, aux.acc_seg: 85.3173, loss: 0.6072 2023-02-24 09:31:01,459 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 1 day, 19:46:10, time: 0.983, data_time: 0.013, memory: 19374, decode.loss_ce: 0.3204, decode.acc_seg: 88.7182, aux.loss_ce: 0.2744, aux.acc_seg: 84.9763, loss: 0.5949 2023-02-24 09:31:52,989 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 1 day, 19:49:50, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.2994, decode.acc_seg: 89.7974, aux.loss_ce: 0.2514, aux.acc_seg: 86.0241, loss: 0.5508 2023-02-24 09:32:42,087 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 1 day, 19:47:45, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.3048, decode.acc_seg: 89.6071, aux.loss_ce: 0.2473, aux.acc_seg: 85.7961, loss: 0.5521 2023-02-24 09:33:31,277 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 1 day, 19:45:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.3037, decode.acc_seg: 89.2564, aux.loss_ce: 0.2385, aux.acc_seg: 85.6752, loss: 0.5423 2023-02-24 09:34:20,513 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 1 day, 19:44:21, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3066, decode.acc_seg: 89.4377, aux.loss_ce: 0.2201, aux.acc_seg: 86.8960, loss: 0.5267 2023-02-24 09:35:09,614 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 1 day, 19:42:31, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3207, decode.acc_seg: 89.2205, aux.loss_ce: 0.2213, aux.acc_seg: 86.0002, loss: 0.5421 2023-02-24 09:35:58,851 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 1 day, 19:41:00, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2976, decode.acc_seg: 89.7147, aux.loss_ce: 0.2136, aux.acc_seg: 86.5997, loss: 0.5112 2023-02-24 09:36:48,000 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 1 day, 19:39:23, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.3119, decode.acc_seg: 89.3853, aux.loss_ce: 0.2058, aux.acc_seg: 87.1596, loss: 0.5177 2023-02-24 09:37:39,810 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 1 day, 19:42:32, time: 1.036, data_time: 0.060, memory: 19374, decode.loss_ce: 0.3053, decode.acc_seg: 89.5570, aux.loss_ce: 0.2009, aux.acc_seg: 86.8498, loss: 0.5062 2023-02-24 09:38:28,994 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 1 day, 19:40:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2908, decode.acc_seg: 89.9935, aux.loss_ce: 0.1913, aux.acc_seg: 87.4581, loss: 0.4821 2023-02-24 09:39:18,168 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 1 day, 19:39:22, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2711, decode.acc_seg: 90.5862, aux.loss_ce: 0.1773, aux.acc_seg: 88.5079, loss: 0.4484 2023-02-24 09:40:07,242 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 1 day, 19:37:41, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2652, decode.acc_seg: 90.5811, aux.loss_ce: 0.1659, aux.acc_seg: 89.1269, loss: 0.4311 2023-02-24 09:40:56,516 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 1 day, 19:36:22, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2556, decode.acc_seg: 91.1441, aux.loss_ce: 0.1653, aux.acc_seg: 89.1111, loss: 0.4209 2023-02-24 09:41:45,705 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 1 day, 19:34:56, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2594, decode.acc_seg: 90.9121, aux.loss_ce: 0.1634, aux.acc_seg: 89.1483, loss: 0.4227 2023-02-24 09:42:34,919 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 1 day, 19:33:34, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.2782, decode.acc_seg: 90.2776, aux.loss_ce: 0.1626, aux.acc_seg: 89.1835, loss: 0.4408 2023-02-24 09:43:24,119 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 1 day, 19:32:15, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2508, decode.acc_seg: 91.2106, aux.loss_ce: 0.1502, aux.acc_seg: 89.7619, loss: 0.4010 2023-02-24 09:44:15,701 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 1 day, 19:34:14, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.2509, decode.acc_seg: 91.2906, aux.loss_ce: 0.1526, aux.acc_seg: 89.4475, loss: 0.4035 2023-02-24 09:45:04,816 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 1 day, 19:32:44, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2337, decode.acc_seg: 91.8860, aux.loss_ce: 0.1445, aux.acc_seg: 89.9820, loss: 0.3782 2023-02-24 09:45:53,982 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 09:45:53,983 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 1 day, 19:31:21, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2628, decode.acc_seg: 91.0957, aux.loss_ce: 0.1483, aux.acc_seg: 89.7282, loss: 0.4111 2023-02-24 09:46:43,110 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 1 day, 19:29:56, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2579, decode.acc_seg: 90.9380, aux.loss_ce: 0.1451, aux.acc_seg: 89.7497, loss: 0.4031 2023-02-24 09:47:32,216 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 1 day, 19:28:32, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2385, decode.acc_seg: 91.7418, aux.loss_ce: 0.1340, aux.acc_seg: 90.4359, loss: 0.3725 2023-02-24 09:48:21,332 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 1 day, 19:27:09, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2554, decode.acc_seg: 90.9713, aux.loss_ce: 0.1418, aux.acc_seg: 89.8158, loss: 0.3972 2023-02-24 09:49:10,373 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 1 day, 19:25:43, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2454, decode.acc_seg: 91.4385, aux.loss_ce: 0.1337, aux.acc_seg: 90.4124, loss: 0.3792 2023-02-24 09:50:01,913 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 1 day, 19:27:14, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.2359, decode.acc_seg: 91.4345, aux.loss_ce: 0.1291, aux.acc_seg: 90.3423, loss: 0.3649 2023-02-24 09:50:50,923 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 1 day, 19:25:45, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2459, decode.acc_seg: 91.3244, aux.loss_ce: 0.1291, aux.acc_seg: 90.6154, loss: 0.3750 2023-02-24 09:51:40,000 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 1 day, 19:24:21, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2339, decode.acc_seg: 91.8483, aux.loss_ce: 0.1270, aux.acc_seg: 90.6538, loss: 0.3609 2023-02-24 09:52:29,060 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 1 day, 19:23:00, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2262, decode.acc_seg: 92.3130, aux.loss_ce: 0.1192, aux.acc_seg: 91.3008, loss: 0.3455 2023-02-24 09:53:18,166 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 1 day, 19:21:42, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2333, decode.acc_seg: 91.7999, aux.loss_ce: 0.1221, aux.acc_seg: 90.8417, loss: 0.3553 2023-02-24 09:54:07,582 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 1 day, 19:20:45, time: 0.988, data_time: 0.015, memory: 19374, decode.loss_ce: 0.2572, decode.acc_seg: 91.1355, aux.loss_ce: 0.1279, aux.acc_seg: 90.2171, loss: 0.3851 2023-02-24 09:54:55,903 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 1 day, 19:18:40, time: 0.966, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2429, decode.acc_seg: 91.4528, aux.loss_ce: 0.1244, aux.acc_seg: 90.6440, loss: 0.3673 2023-02-24 09:55:43,990 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 1 day, 19:16:24, time: 0.962, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2513, decode.acc_seg: 91.1844, aux.loss_ce: 0.1301, aux.acc_seg: 90.0490, loss: 0.3814 2023-02-24 09:56:35,161 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 1 day, 19:17:13, time: 1.023, data_time: 0.058, memory: 19374, decode.loss_ce: 0.2156, decode.acc_seg: 92.1997, aux.loss_ce: 0.1105, aux.acc_seg: 91.4159, loss: 0.3262 2023-02-24 09:57:24,174 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 1 day, 19:15:55, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2037, decode.acc_seg: 92.8083, aux.loss_ce: 0.1095, aux.acc_seg: 91.8018, loss: 0.3133 2023-02-24 09:58:13,096 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 1 day, 19:14:32, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2363, decode.acc_seg: 91.6686, aux.loss_ce: 0.1196, aux.acc_seg: 90.8311, loss: 0.3559 2023-02-24 09:59:02,780 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 1 day, 19:13:53, time: 0.994, data_time: 0.020, memory: 19374, decode.loss_ce: 0.2531, decode.acc_seg: 91.4886, aux.loss_ce: 0.1208, aux.acc_seg: 90.6913, loss: 0.3738 2023-02-24 09:59:52,009 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 1 day, 19:12:49, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2403, decode.acc_seg: 91.4961, aux.loss_ce: 0.1186, aux.acc_seg: 90.5782, loss: 0.3589 2023-02-24 10:00:41,101 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 1 day, 19:11:37, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1944, decode.acc_seg: 93.0745, aux.loss_ce: 0.1015, aux.acc_seg: 92.1917, loss: 0.2959 2023-02-24 10:01:30,227 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 1 day, 19:10:28, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2191, decode.acc_seg: 92.2992, aux.loss_ce: 0.1114, aux.acc_seg: 91.5344, loss: 0.3305 2023-02-24 10:02:22,261 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:02:22,262 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 1 day, 19:11:51, time: 1.040, data_time: 0.067, memory: 19374, decode.loss_ce: 0.2152, decode.acc_seg: 92.4191, aux.loss_ce: 0.1107, aux.acc_seg: 91.4358, loss: 0.3259 2023-02-24 10:03:11,433 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 1 day, 19:10:44, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2158, decode.acc_seg: 92.2392, aux.loss_ce: 0.1051, aux.acc_seg: 91.7918, loss: 0.3209 2023-02-24 10:04:00,659 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 1 day, 19:09:40, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2029, decode.acc_seg: 92.6776, aux.loss_ce: 0.1010, aux.acc_seg: 91.9879, loss: 0.3040 2023-02-24 10:04:49,534 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 1 day, 19:08:19, time: 0.977, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2322, decode.acc_seg: 91.5016, aux.loss_ce: 0.1129, aux.acc_seg: 91.0407, loss: 0.3451 2023-02-24 10:05:38,590 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 1 day, 19:07:07, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2043, decode.acc_seg: 92.6515, aux.loss_ce: 0.1015, aux.acc_seg: 92.1081, loss: 0.3059 2023-02-24 10:06:27,864 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 1 day, 19:06:06, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1937, decode.acc_seg: 93.1209, aux.loss_ce: 0.0980, aux.acc_seg: 92.2866, loss: 0.2916 2023-02-24 10:07:17,222 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 1 day, 19:05:11, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2155, decode.acc_seg: 92.3020, aux.loss_ce: 0.1027, aux.acc_seg: 91.8354, loss: 0.3182 2023-02-24 10:08:08,451 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 1 day, 19:05:42, time: 1.025, data_time: 0.054, memory: 19374, decode.loss_ce: 0.2081, decode.acc_seg: 92.5132, aux.loss_ce: 0.1027, aux.acc_seg: 91.8028, loss: 0.3108 2023-02-24 10:08:57,741 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 1 day, 19:04:42, time: 0.986, data_time: 0.013, memory: 19374, decode.loss_ce: 0.1854, decode.acc_seg: 93.5470, aux.loss_ce: 0.0929, aux.acc_seg: 92.9647, loss: 0.2783 2023-02-24 10:09:46,920 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 1 day, 19:03:37, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1938, decode.acc_seg: 92.9559, aux.loss_ce: 0.0949, aux.acc_seg: 92.3114, loss: 0.2887 2023-02-24 10:10:35,879 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 1 day, 19:02:23, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1948, decode.acc_seg: 93.1503, aux.loss_ce: 0.0953, aux.acc_seg: 92.7653, loss: 0.2901 2023-02-24 10:11:25,051 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 1 day, 19:01:19, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1979, decode.acc_seg: 92.9568, aux.loss_ce: 0.0976, aux.acc_seg: 92.3884, loss: 0.2955 2023-02-24 10:12:14,197 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 1 day, 19:00:14, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1917, decode.acc_seg: 93.1949, aux.loss_ce: 0.0975, aux.acc_seg: 92.3903, loss: 0.2892 2023-02-24 10:13:03,340 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 1 day, 18:59:09, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2173, decode.acc_seg: 92.4721, aux.loss_ce: 0.1011, aux.acc_seg: 91.9143, loss: 0.3184 2023-02-24 10:13:52,873 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 1 day, 18:58:22, time: 0.991, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1970, decode.acc_seg: 92.8272, aux.loss_ce: 0.0941, aux.acc_seg: 92.2867, loss: 0.2911 2023-02-24 10:14:44,661 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 1 day, 18:59:08, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.2140, decode.acc_seg: 92.4735, aux.loss_ce: 0.1021, aux.acc_seg: 91.9142, loss: 0.3161 2023-02-24 10:15:33,699 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 1 day, 18:57:59, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2011, decode.acc_seg: 92.8983, aux.loss_ce: 0.0936, aux.acc_seg: 92.4570, loss: 0.2947 2023-02-24 10:16:22,598 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 1 day, 18:56:45, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2072, decode.acc_seg: 92.5595, aux.loss_ce: 0.0978, aux.acc_seg: 92.0496, loss: 0.3050 2023-02-24 10:17:11,585 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 1 day, 18:55:34, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2081, decode.acc_seg: 92.4762, aux.loss_ce: 0.0945, aux.acc_seg: 92.3015, loss: 0.3026 2023-02-24 10:18:00,742 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 1 day, 18:54:31, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2628, decode.acc_seg: 91.0850, aux.loss_ce: 0.1091, aux.acc_seg: 91.3649, loss: 0.3719 2023-02-24 10:18:49,825 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:18:49,825 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 1 day, 18:53:26, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1842, decode.acc_seg: 93.4564, aux.loss_ce: 0.0858, aux.acc_seg: 93.0921, loss: 0.2699 2023-02-24 10:19:39,202 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 1 day, 18:52:32, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2001, decode.acc_seg: 92.9568, aux.loss_ce: 0.0931, aux.acc_seg: 92.5497, loss: 0.2932 2023-02-24 10:20:30,403 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 1 day, 18:52:48, time: 1.024, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1857, decode.acc_seg: 93.3790, aux.loss_ce: 0.0882, aux.acc_seg: 92.9656, loss: 0.2738 2023-02-24 10:21:19,241 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 1 day, 18:51:33, time: 0.977, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1764, decode.acc_seg: 93.5521, aux.loss_ce: 0.0828, aux.acc_seg: 93.1703, loss: 0.2592 2023-02-24 10:22:08,372 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 1 day, 18:50:30, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1857, decode.acc_seg: 93.4456, aux.loss_ce: 0.0876, aux.acc_seg: 92.9967, loss: 0.2732 2023-02-24 10:22:57,657 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 1 day, 18:49:32, time: 0.986, data_time: 0.014, memory: 19374, decode.loss_ce: 0.1902, decode.acc_seg: 93.2553, aux.loss_ce: 0.0874, aux.acc_seg: 92.9066, loss: 0.2776 2023-02-24 10:23:46,725 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 1 day, 18:48:27, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1808, decode.acc_seg: 93.3259, aux.loss_ce: 0.0847, aux.acc_seg: 93.0122, loss: 0.2655 2023-02-24 10:24:35,943 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 1 day, 18:47:28, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2040, decode.acc_seg: 92.7555, aux.loss_ce: 0.0912, aux.acc_seg: 92.6465, loss: 0.2952 2023-02-24 10:25:24,882 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 1 day, 18:46:19, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1914, decode.acc_seg: 93.3520, aux.loss_ce: 0.0857, aux.acc_seg: 93.1711, loss: 0.2771 2023-02-24 10:26:14,099 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 1 day, 18:45:21, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1981, decode.acc_seg: 92.7518, aux.loss_ce: 0.0877, aux.acc_seg: 92.6144, loss: 0.2859 2023-02-24 10:27:05,767 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 1 day, 18:45:47, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1957, decode.acc_seg: 93.0921, aux.loss_ce: 0.0889, aux.acc_seg: 92.7581, loss: 0.2846 2023-02-24 10:27:54,973 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 1 day, 18:44:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1902, decode.acc_seg: 93.2875, aux.loss_ce: 0.0851, aux.acc_seg: 93.1015, loss: 0.2754 2023-02-24 10:28:44,008 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 1 day, 18:43:42, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1896, decode.acc_seg: 93.1697, aux.loss_ce: 0.0865, aux.acc_seg: 92.8859, loss: 0.2761 2023-02-24 10:29:33,244 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 1 day, 18:42:44, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2000, decode.acc_seg: 92.9171, aux.loss_ce: 0.0886, aux.acc_seg: 92.6512, loss: 0.2886 2023-02-24 10:30:22,864 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 1 day, 18:41:59, time: 0.992, data_time: 0.019, memory: 19374, decode.loss_ce: 0.1886, decode.acc_seg: 93.1231, aux.loss_ce: 0.0828, aux.acc_seg: 92.9894, loss: 0.2715 2023-02-24 10:31:11,987 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 1 day, 18:40:57, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1921, decode.acc_seg: 92.9523, aux.loss_ce: 0.0869, aux.acc_seg: 92.6834, loss: 0.2790 2023-02-24 10:32:01,197 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 1 day, 18:39:59, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1838, decode.acc_seg: 93.3707, aux.loss_ce: 0.0833, aux.acc_seg: 93.0753, loss: 0.2671 2023-02-24 10:32:53,242 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 1 day, 18:40:31, time: 1.041, data_time: 0.062, memory: 19374, decode.loss_ce: 0.1766, decode.acc_seg: 93.7872, aux.loss_ce: 0.0833, aux.acc_seg: 93.3082, loss: 0.2599 2023-02-24 10:33:42,326 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 1 day, 18:39:28, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1789, decode.acc_seg: 93.6210, aux.loss_ce: 0.0819, aux.acc_seg: 93.1722, loss: 0.2608 2023-02-24 10:34:31,701 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 1 day, 18:38:35, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1929, decode.acc_seg: 93.2865, aux.loss_ce: 0.0838, aux.acc_seg: 93.1422, loss: 0.2767 2023-02-24 10:35:20,844 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:35:20,844 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 1 day, 18:37:34, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1776, decode.acc_seg: 93.6224, aux.loss_ce: 0.0789, aux.acc_seg: 93.3687, loss: 0.2565 2023-02-24 10:36:09,830 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 1 day, 18:36:29, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1822, decode.acc_seg: 93.5039, aux.loss_ce: 0.0837, aux.acc_seg: 93.0684, loss: 0.2659 2023-02-24 10:36:58,908 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 1 day, 18:35:27, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2140, decode.acc_seg: 92.6427, aux.loss_ce: 0.0943, aux.acc_seg: 92.1089, loss: 0.3083 2023-02-24 10:37:48,062 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 1 day, 18:34:27, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1623, decode.acc_seg: 94.2165, aux.loss_ce: 0.0732, aux.acc_seg: 93.9138, loss: 0.2355 2023-02-24 10:38:36,950 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 1 day, 18:33:19, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1824, decode.acc_seg: 93.5952, aux.loss_ce: 0.0807, aux.acc_seg: 93.2764, loss: 0.2631 2023-02-24 10:39:28,421 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 1 day, 18:33:29, time: 1.029, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1934, decode.acc_seg: 93.3433, aux.loss_ce: 0.0842, aux.acc_seg: 93.0574, loss: 0.2776 2023-02-24 10:40:17,770 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 1 day, 18:32:34, time: 0.987, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1922, decode.acc_seg: 93.0648, aux.loss_ce: 0.0858, aux.acc_seg: 92.8387, loss: 0.2780 2023-02-24 10:41:07,042 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 1 day, 18:31:38, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1765, decode.acc_seg: 93.6951, aux.loss_ce: 0.0783, aux.acc_seg: 93.5928, loss: 0.2548 2023-02-24 10:41:56,092 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 1 day, 18:30:36, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1808, decode.acc_seg: 93.5525, aux.loss_ce: 0.0824, aux.acc_seg: 93.0556, loss: 0.2632 2023-02-24 10:42:45,224 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 1 day, 18:29:36, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1963, decode.acc_seg: 93.2329, aux.loss_ce: 0.0849, aux.acc_seg: 92.9220, loss: 0.2812 2023-02-24 10:43:34,356 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 1 day, 18:28:37, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.2018, decode.acc_seg: 93.1417, aux.loss_ce: 0.0883, aux.acc_seg: 92.7602, loss: 0.2901 2023-02-24 10:44:23,678 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 1 day, 18:27:42, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1802, decode.acc_seg: 93.7578, aux.loss_ce: 0.0794, aux.acc_seg: 93.4352, loss: 0.2595 2023-02-24 10:45:15,613 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 1 day, 18:28:01, time: 1.039, data_time: 0.061, memory: 19374, decode.loss_ce: 0.1530, decode.acc_seg: 94.4699, aux.loss_ce: 0.0709, aux.acc_seg: 93.9923, loss: 0.2239 2023-02-24 10:46:04,860 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 1 day, 18:27:04, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1715, decode.acc_seg: 93.8394, aux.loss_ce: 0.0764, aux.acc_seg: 93.5597, loss: 0.2479 2023-02-24 10:46:53,908 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 1 day, 18:26:02, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1883, decode.acc_seg: 93.1459, aux.loss_ce: 0.0820, aux.acc_seg: 93.1287, loss: 0.2703 2023-02-24 10:47:42,940 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 1 day, 18:25:00, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1678, decode.acc_seg: 94.0054, aux.loss_ce: 0.0763, aux.acc_seg: 93.5715, loss: 0.2440 2023-02-24 10:48:32,069 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 1 day, 18:24:01, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1772, decode.acc_seg: 93.5249, aux.loss_ce: 0.0798, aux.acc_seg: 93.2175, loss: 0.2569 2023-02-24 10:49:21,271 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 1 day, 18:23:03, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1690, decode.acc_seg: 94.0429, aux.loss_ce: 0.0770, aux.acc_seg: 93.4692, loss: 0.2460 2023-02-24 10:50:10,266 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 1 day, 18:22:01, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1792, decode.acc_seg: 93.5952, aux.loss_ce: 0.0783, aux.acc_seg: 93.4431, loss: 0.2575 2023-02-24 10:50:59,599 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 1 day, 18:21:07, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1881, decode.acc_seg: 93.3209, aux.loss_ce: 0.0833, aux.acc_seg: 93.0244, loss: 0.2714 2023-02-24 10:51:51,724 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 10:51:51,724 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 1 day, 18:21:25, time: 1.042, data_time: 0.054, memory: 19374, decode.loss_ce: 0.1684, decode.acc_seg: 93.9723, aux.loss_ce: 0.0753, aux.acc_seg: 93.6346, loss: 0.2436 2023-02-24 10:52:40,801 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 1 day, 18:20:25, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1592, decode.acc_seg: 94.2428, aux.loss_ce: 0.0732, aux.acc_seg: 93.7800, loss: 0.2324 2023-02-24 10:53:29,817 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 1 day, 18:19:23, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1711, decode.acc_seg: 93.6898, aux.loss_ce: 0.0751, aux.acc_seg: 93.6038, loss: 0.2462 2023-02-24 10:54:18,960 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 1 day, 18:18:25, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1617, decode.acc_seg: 94.1571, aux.loss_ce: 0.0711, aux.acc_seg: 93.8976, loss: 0.2328 2023-02-24 10:55:08,367 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 1 day, 18:17:33, time: 0.988, data_time: 0.014, memory: 19374, decode.loss_ce: 0.2059, decode.acc_seg: 92.8660, aux.loss_ce: 0.0852, aux.acc_seg: 92.8192, loss: 0.2911 2023-02-24 10:55:57,395 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 1 day, 18:16:32, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1838, decode.acc_seg: 93.4947, aux.loss_ce: 0.0793, aux.acc_seg: 93.2222, loss: 0.2631 2023-02-24 10:56:46,876 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 1 day, 18:15:42, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1735, decode.acc_seg: 93.8869, aux.loss_ce: 0.0781, aux.acc_seg: 93.3441, loss: 0.2516 2023-02-24 10:57:38,663 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 1 day, 18:15:48, time: 1.036, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1837, decode.acc_seg: 93.4166, aux.loss_ce: 0.0807, aux.acc_seg: 93.0766, loss: 0.2644 2023-02-24 10:58:28,413 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 1 day, 18:15:04, time: 0.995, data_time: 0.020, memory: 19374, decode.loss_ce: 0.1655, decode.acc_seg: 94.1075, aux.loss_ce: 0.0743, aux.acc_seg: 93.7376, loss: 0.2398 2023-02-24 10:59:17,417 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 1 day, 18:14:03, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1830, decode.acc_seg: 93.4881, aux.loss_ce: 0.0781, aux.acc_seg: 93.3076, loss: 0.2612 2023-02-24 11:00:06,351 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 1 day, 18:13:00, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1941, decode.acc_seg: 93.1981, aux.loss_ce: 0.0809, aux.acc_seg: 93.1693, loss: 0.2750 2023-02-24 11:00:55,337 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 1 day, 18:11:58, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1691, decode.acc_seg: 94.0657, aux.loss_ce: 0.0740, aux.acc_seg: 93.7202, loss: 0.2430 2023-02-24 11:01:44,532 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 1 day, 18:11:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1979, decode.acc_seg: 93.1293, aux.loss_ce: 0.0810, aux.acc_seg: 93.1425, loss: 0.2789 2023-02-24 11:02:33,581 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 1 day, 18:10:01, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1990, decode.acc_seg: 93.0048, aux.loss_ce: 0.0835, aux.acc_seg: 92.8141, loss: 0.2825 2023-02-24 11:03:24,904 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 1 day, 18:09:54, time: 1.026, data_time: 0.055, memory: 19374, decode.loss_ce: 0.2009, decode.acc_seg: 93.0609, aux.loss_ce: 0.0826, aux.acc_seg: 93.0406, loss: 0.2835 2023-02-24 11:04:14,129 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 1 day, 18:08:57, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.2003, decode.acc_seg: 93.0604, aux.loss_ce: 0.0817, aux.acc_seg: 93.0989, loss: 0.2819 2023-02-24 11:05:03,646 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 1 day, 18:08:09, time: 0.991, data_time: 0.013, memory: 19374, decode.loss_ce: 0.1989, decode.acc_seg: 93.0688, aux.loss_ce: 0.0834, aux.acc_seg: 92.8692, loss: 0.2822 2023-02-24 11:05:52,852 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 1 day, 18:07:12, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1804, decode.acc_seg: 93.5640, aux.loss_ce: 0.0792, aux.acc_seg: 93.1541, loss: 0.2596 2023-02-24 11:06:42,045 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 1 day, 18:06:16, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1893, decode.acc_seg: 93.4648, aux.loss_ce: 0.0797, aux.acc_seg: 93.1805, loss: 0.2690 2023-02-24 11:07:31,297 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 1 day, 18:05:21, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1871, decode.acc_seg: 93.2920, aux.loss_ce: 0.0764, aux.acc_seg: 93.4468, loss: 0.2635 2023-02-24 11:08:20,532 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:08:20,533 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 1 day, 18:04:26, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1775, decode.acc_seg: 93.7264, aux.loss_ce: 0.0794, aux.acc_seg: 93.3296, loss: 0.2569 2023-02-24 11:09:09,627 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 1 day, 18:03:27, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1713, decode.acc_seg: 93.9550, aux.loss_ce: 0.0776, aux.acc_seg: 93.4343, loss: 0.2489 2023-02-24 11:10:01,418 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 1 day, 18:03:27, time: 1.036, data_time: 0.063, memory: 19374, decode.loss_ce: 0.1756, decode.acc_seg: 93.7499, aux.loss_ce: 0.0780, aux.acc_seg: 93.3472, loss: 0.2536 2023-02-24 11:10:50,577 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 1 day, 18:02:30, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1819, decode.acc_seg: 93.3600, aux.loss_ce: 0.0809, aux.acc_seg: 92.8755, loss: 0.2628 2023-02-24 11:11:39,625 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 1 day, 18:01:31, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1590, decode.acc_seg: 94.0905, aux.loss_ce: 0.0708, aux.acc_seg: 93.7680, loss: 0.2298 2023-02-24 11:12:29,855 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 1 day, 18:00:57, time: 1.005, data_time: 0.026, memory: 19374, decode.loss_ce: 0.1722, decode.acc_seg: 93.8700, aux.loss_ce: 0.0757, aux.acc_seg: 93.5647, loss: 0.2479 2023-02-24 11:13:19,081 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 1 day, 18:00:01, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1620, decode.acc_seg: 94.1639, aux.loss_ce: 0.0736, aux.acc_seg: 93.6866, loss: 0.2356 2023-02-24 11:14:08,565 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 1 day, 17:59:11, time: 0.990, data_time: 0.016, memory: 19374, decode.loss_ce: 0.1727, decode.acc_seg: 93.7439, aux.loss_ce: 0.0739, aux.acc_seg: 93.6697, loss: 0.2465 2023-02-24 11:14:57,538 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 1 day, 17:58:10, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1510, decode.acc_seg: 94.4438, aux.loss_ce: 0.0681, aux.acc_seg: 94.0606, loss: 0.2191 2023-02-24 11:15:49,981 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 1 day, 17:58:21, time: 1.049, data_time: 0.075, memory: 19374, decode.loss_ce: 0.1542, decode.acc_seg: 94.2867, aux.loss_ce: 0.0680, aux.acc_seg: 94.0459, loss: 0.2222 2023-02-24 11:16:39,413 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 1 day, 17:57:30, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1549, decode.acc_seg: 94.2777, aux.loss_ce: 0.0685, aux.acc_seg: 93.9557, loss: 0.2234 2023-02-24 11:17:28,714 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 1 day, 17:56:36, time: 0.986, data_time: 0.012, memory: 19374, decode.loss_ce: 0.1678, decode.acc_seg: 94.0082, aux.loss_ce: 0.0748, aux.acc_seg: 93.6489, loss: 0.2426 2023-02-24 11:18:18,132 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 1 day, 17:55:44, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1788, decode.acc_seg: 93.5248, aux.loss_ce: 0.0763, aux.acc_seg: 93.2985, loss: 0.2551 2023-02-24 11:19:07,302 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 1 day, 17:54:47, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1626, decode.acc_seg: 94.1168, aux.loss_ce: 0.0727, aux.acc_seg: 93.6238, loss: 0.2354 2023-02-24 11:19:56,629 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 1 day, 17:53:54, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1549, decode.acc_seg: 94.4235, aux.loss_ce: 0.0679, aux.acc_seg: 94.1852, loss: 0.2229 2023-02-24 11:20:45,906 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 1 day, 17:53:00, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1664, decode.acc_seg: 94.0689, aux.loss_ce: 0.0742, aux.acc_seg: 93.6710, loss: 0.2406 2023-02-24 11:21:35,030 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 1 day, 17:52:02, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1638, decode.acc_seg: 94.2869, aux.loss_ce: 0.0726, aux.acc_seg: 93.8663, loss: 0.2364 2023-02-24 11:22:27,255 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 1 day, 17:52:06, time: 1.045, data_time: 0.072, memory: 19374, decode.loss_ce: 0.1617, decode.acc_seg: 94.1677, aux.loss_ce: 0.0692, aux.acc_seg: 93.9080, loss: 0.2309 2023-02-24 11:23:16,320 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 1 day, 17:51:07, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1369, decode.acc_seg: 94.8615, aux.loss_ce: 0.0628, aux.acc_seg: 94.4017, loss: 0.1997 2023-02-24 11:24:05,607 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 1 day, 17:50:13, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1578, decode.acc_seg: 94.1718, aux.loss_ce: 0.0714, aux.acc_seg: 93.7615, loss: 0.2292 2023-02-24 11:24:54,883 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:24:54,884 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 1 day, 17:49:18, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1525, decode.acc_seg: 94.5167, aux.loss_ce: 0.0677, aux.acc_seg: 94.0939, loss: 0.2202 2023-02-24 11:25:44,221 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 1 day, 17:48:25, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1530, decode.acc_seg: 94.1847, aux.loss_ce: 0.0668, aux.acc_seg: 94.0895, loss: 0.2198 2023-02-24 11:26:33,398 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 1 day, 17:47:29, time: 0.984, data_time: 0.018, memory: 19374, decode.loss_ce: 0.1505, decode.acc_seg: 94.5210, aux.loss_ce: 0.0698, aux.acc_seg: 94.0258, loss: 0.2203 2023-02-24 11:27:21,698 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 1 day, 17:46:17, time: 0.966, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1733, decode.acc_seg: 93.9049, aux.loss_ce: 0.0726, aux.acc_seg: 93.7190, loss: 0.2459 2023-02-24 11:28:12,682 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 1 day, 17:45:55, time: 1.020, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1572, decode.acc_seg: 94.3327, aux.loss_ce: 0.0693, aux.acc_seg: 93.9120, loss: 0.2265 2023-02-24 11:29:01,874 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 1 day, 17:44:59, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1685, decode.acc_seg: 94.0284, aux.loss_ce: 0.0720, aux.acc_seg: 93.7885, loss: 0.2404 2023-02-24 11:29:50,965 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 1 day, 17:44:01, time: 0.982, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1870, decode.acc_seg: 93.5633, aux.loss_ce: 0.0771, aux.acc_seg: 93.4821, loss: 0.2641 2023-02-24 11:30:40,137 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 1 day, 17:43:06, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1657, decode.acc_seg: 94.1017, aux.loss_ce: 0.0698, aux.acc_seg: 93.9137, loss: 0.2355 2023-02-24 11:31:29,304 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 1 day, 17:42:10, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1569, decode.acc_seg: 94.3435, aux.loss_ce: 0.0694, aux.acc_seg: 93.8947, loss: 0.2263 2023-02-24 11:32:18,947 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 1 day, 17:41:23, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1731, decode.acc_seg: 93.7593, aux.loss_ce: 0.0763, aux.acc_seg: 93.3824, loss: 0.2494 2023-02-24 11:33:08,174 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 1 day, 17:40:28, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1611, decode.acc_seg: 94.1297, aux.loss_ce: 0.0708, aux.acc_seg: 93.8409, loss: 0.2319 2023-02-24 11:33:57,197 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 1 day, 17:39:30, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1640, decode.acc_seg: 94.1974, aux.loss_ce: 0.0720, aux.acc_seg: 93.8611, loss: 0.2361 2023-02-24 11:34:48,882 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 1 day, 17:39:19, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1443, decode.acc_seg: 94.8678, aux.loss_ce: 0.0633, aux.acc_seg: 94.5161, loss: 0.2076 2023-02-24 11:35:38,148 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 1 day, 17:38:25, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1529, decode.acc_seg: 94.4403, aux.loss_ce: 0.0677, aux.acc_seg: 93.9834, loss: 0.2206 2023-02-24 11:36:27,277 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 1 day, 17:37:28, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1509, decode.acc_seg: 94.4999, aux.loss_ce: 0.0686, aux.acc_seg: 93.9339, loss: 0.2196 2023-02-24 11:37:16,481 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 1 day, 17:36:33, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1683, decode.acc_seg: 94.0929, aux.loss_ce: 0.0729, aux.acc_seg: 93.8246, loss: 0.2412 2023-02-24 11:38:05,953 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 1 day, 17:35:43, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1629, decode.acc_seg: 93.9138, aux.loss_ce: 0.0701, aux.acc_seg: 93.7111, loss: 0.2330 2023-02-24 11:38:55,147 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 1 day, 17:34:48, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1658, decode.acc_seg: 94.0696, aux.loss_ce: 0.0725, aux.acc_seg: 93.8004, loss: 0.2384 2023-02-24 11:39:44,439 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 1 day, 17:33:54, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1482, decode.acc_seg: 94.7290, aux.loss_ce: 0.0650, aux.acc_seg: 94.3376, loss: 0.2133 2023-02-24 11:40:37,138 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 1 day, 17:33:59, time: 1.054, data_time: 0.079, memory: 19374, decode.loss_ce: 0.1531, decode.acc_seg: 94.4699, aux.loss_ce: 0.0660, aux.acc_seg: 94.1863, loss: 0.2191 2023-02-24 11:41:26,343 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:41:26,343 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 1 day, 17:33:04, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1651, decode.acc_seg: 94.1959, aux.loss_ce: 0.0696, aux.acc_seg: 94.0535, loss: 0.2346 2023-02-24 11:42:15,592 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 1 day, 17:32:09, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1535, decode.acc_seg: 94.4434, aux.loss_ce: 0.0684, aux.acc_seg: 94.0695, loss: 0.2219 2023-02-24 11:43:04,880 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 1 day, 17:31:16, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1526, decode.acc_seg: 94.3935, aux.loss_ce: 0.0664, aux.acc_seg: 94.0452, loss: 0.2191 2023-02-24 11:43:54,179 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 1 day, 17:30:23, time: 0.986, data_time: 0.010, memory: 19374, decode.loss_ce: 0.1460, decode.acc_seg: 94.5827, aux.loss_ce: 0.0637, aux.acc_seg: 94.2758, loss: 0.2097 2023-02-24 11:44:43,505 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 1 day, 17:29:30, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1446, decode.acc_seg: 94.8074, aux.loss_ce: 0.0650, aux.acc_seg: 94.3548, loss: 0.2096 2023-02-24 11:45:32,763 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 1 day, 17:28:36, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1530, decode.acc_seg: 94.4857, aux.loss_ce: 0.0669, aux.acc_seg: 94.1013, loss: 0.2199 2023-02-24 11:46:22,038 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 1 day, 17:27:42, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1367, decode.acc_seg: 95.0146, aux.loss_ce: 0.0616, aux.acc_seg: 94.5383, loss: 0.1983 2023-02-24 11:47:13,648 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 1 day, 17:27:26, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1368, decode.acc_seg: 94.9880, aux.loss_ce: 0.0615, aux.acc_seg: 94.6523, loss: 0.1983 2023-02-24 11:48:02,763 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 1 day, 17:26:30, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1381, decode.acc_seg: 95.0694, aux.loss_ce: 0.0625, aux.acc_seg: 94.5951, loss: 0.2006 2023-02-24 11:48:51,717 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 1 day, 17:25:31, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1651, decode.acc_seg: 94.1025, aux.loss_ce: 0.0685, aux.acc_seg: 93.8811, loss: 0.2337 2023-02-24 11:49:40,695 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 1 day, 17:24:33, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1459, decode.acc_seg: 94.6192, aux.loss_ce: 0.0636, aux.acc_seg: 94.2680, loss: 0.2095 2023-02-24 11:50:29,866 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 1 day, 17:23:38, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1458, decode.acc_seg: 94.7120, aux.loss_ce: 0.0635, aux.acc_seg: 94.3992, loss: 0.2094 2023-02-24 11:51:19,418 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 1 day, 17:22:49, time: 0.991, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1628, decode.acc_seg: 94.0279, aux.loss_ce: 0.0699, aux.acc_seg: 93.7749, loss: 0.2327 2023-02-24 11:52:08,474 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 1 day, 17:21:52, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1659, decode.acc_seg: 93.9747, aux.loss_ce: 0.0719, aux.acc_seg: 93.7700, loss: 0.2378 2023-02-24 11:53:00,001 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 1 day, 17:21:34, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.1676, decode.acc_seg: 94.2089, aux.loss_ce: 0.0702, aux.acc_seg: 93.9733, loss: 0.2378 2023-02-24 11:53:49,540 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 1 day, 17:20:44, time: 0.991, data_time: 0.014, memory: 19374, decode.loss_ce: 0.1604, decode.acc_seg: 94.3016, aux.loss_ce: 0.0676, aux.acc_seg: 94.0395, loss: 0.2280 2023-02-24 11:54:38,794 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 1 day, 17:19:50, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1646, decode.acc_seg: 94.0271, aux.loss_ce: 0.0702, aux.acc_seg: 93.8572, loss: 0.2348 2023-02-24 11:55:28,000 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 1 day, 17:18:56, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1462, decode.acc_seg: 94.6213, aux.loss_ce: 0.0648, aux.acc_seg: 94.2152, loss: 0.2111 2023-02-24 11:56:17,282 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 1 day, 17:18:03, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1561, decode.acc_seg: 94.2643, aux.loss_ce: 0.0670, aux.acc_seg: 94.0460, loss: 0.2230 2023-02-24 11:57:06,568 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 1 day, 17:17:09, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1593, decode.acc_seg: 94.3723, aux.loss_ce: 0.0684, aux.acc_seg: 94.1035, loss: 0.2277 2023-02-24 11:57:55,951 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 11:57:55,952 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 1 day, 17:16:18, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1529, decode.acc_seg: 94.4384, aux.loss_ce: 0.0686, aux.acc_seg: 93.8741, loss: 0.2216 2023-02-24 11:58:47,737 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 1 day, 17:16:02, time: 1.036, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1514, decode.acc_seg: 94.4345, aux.loss_ce: 0.0672, aux.acc_seg: 94.1067, loss: 0.2186 2023-02-24 11:59:36,902 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 1 day, 17:15:07, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1358, decode.acc_seg: 94.8805, aux.loss_ce: 0.0612, aux.acc_seg: 94.4127, loss: 0.1970 2023-02-24 12:00:26,236 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 1 day, 17:14:14, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1554, decode.acc_seg: 94.6016, aux.loss_ce: 0.0659, aux.acc_seg: 94.3332, loss: 0.2213 2023-02-24 12:01:15,512 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 1 day, 17:13:21, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1599, decode.acc_seg: 94.1623, aux.loss_ce: 0.0673, aux.acc_seg: 94.0011, loss: 0.2272 2023-02-24 12:02:04,707 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 1 day, 17:12:26, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1567, decode.acc_seg: 94.4149, aux.loss_ce: 0.0674, aux.acc_seg: 94.0728, loss: 0.2241 2023-02-24 12:02:53,891 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 1 day, 17:11:32, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1544, decode.acc_seg: 94.3343, aux.loss_ce: 0.0690, aux.acc_seg: 93.8467, loss: 0.2234 2023-02-24 12:03:43,083 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 1 day, 17:10:37, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1490, decode.acc_seg: 94.4609, aux.loss_ce: 0.0641, aux.acc_seg: 94.2727, loss: 0.2131 2023-02-24 12:04:32,087 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 1 day, 17:09:40, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1519, decode.acc_seg: 94.3527, aux.loss_ce: 0.0666, aux.acc_seg: 94.0538, loss: 0.2186 2023-02-24 12:05:24,358 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 1 day, 17:09:30, time: 1.045, data_time: 0.074, memory: 19374, decode.loss_ce: 0.1374, decode.acc_seg: 94.8675, aux.loss_ce: 0.0615, aux.acc_seg: 94.4037, loss: 0.1989 2023-02-24 12:06:13,469 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 1 day, 17:08:35, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1478, decode.acc_seg: 94.5598, aux.loss_ce: 0.0646, aux.acc_seg: 94.2017, loss: 0.2123 2023-02-24 12:07:02,625 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 1 day, 17:07:40, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1633, decode.acc_seg: 94.1799, aux.loss_ce: 0.0687, aux.acc_seg: 93.9751, loss: 0.2319 2023-02-24 12:07:52,282 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 1 day, 17:06:52, time: 0.993, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1516, decode.acc_seg: 94.5168, aux.loss_ce: 0.0672, aux.acc_seg: 94.1026, loss: 0.2188 2023-02-24 12:08:41,326 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 1 day, 17:05:55, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1611, decode.acc_seg: 94.2085, aux.loss_ce: 0.0682, aux.acc_seg: 93.9512, loss: 0.2293 2023-02-24 12:09:30,581 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 1 day, 17:05:02, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1482, decode.acc_seg: 94.5651, aux.loss_ce: 0.0656, aux.acc_seg: 94.1991, loss: 0.2138 2023-02-24 12:10:20,223 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 1 day, 17:04:14, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1470, decode.acc_seg: 94.6904, aux.loss_ce: 0.0644, aux.acc_seg: 94.3448, loss: 0.2114 2023-02-24 12:11:13,090 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 1 day, 17:04:10, time: 1.057, data_time: 0.082, memory: 19374, decode.loss_ce: 0.1585, decode.acc_seg: 94.2335, aux.loss_ce: 0.0684, aux.acc_seg: 93.9187, loss: 0.2268 2023-02-24 12:12:02,238 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 1 day, 17:03:15, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1398, decode.acc_seg: 94.9899, aux.loss_ce: 0.0621, aux.acc_seg: 94.5069, loss: 0.2018 2023-02-24 12:12:51,467 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 1 day, 17:02:22, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1451, decode.acc_seg: 94.7706, aux.loss_ce: 0.0640, aux.acc_seg: 94.1410, loss: 0.2091 2023-02-24 12:13:40,895 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 1 day, 17:01:30, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1587, decode.acc_seg: 94.1919, aux.loss_ce: 0.0692, aux.acc_seg: 93.7439, loss: 0.2279 2023-02-24 12:14:30,095 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:14:30,095 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 1 day, 17:00:36, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1388, decode.acc_seg: 94.8852, aux.loss_ce: 0.0606, aux.acc_seg: 94.5350, loss: 0.1994 2023-02-24 12:15:19,950 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 1 day, 16:59:51, time: 0.997, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1465, decode.acc_seg: 94.6549, aux.loss_ce: 0.0657, aux.acc_seg: 94.1931, loss: 0.2122 2023-02-24 12:16:09,207 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 1 day, 16:58:57, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1387, decode.acc_seg: 94.8424, aux.loss_ce: 0.0616, aux.acc_seg: 94.4110, loss: 0.2003 2023-02-24 12:16:58,290 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 1 day, 16:58:02, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1503, decode.acc_seg: 94.5478, aux.loss_ce: 0.0650, aux.acc_seg: 94.2763, loss: 0.2153 2023-02-24 12:17:50,866 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 1 day, 16:57:52, time: 1.051, data_time: 0.073, memory: 19374, decode.loss_ce: 0.1427, decode.acc_seg: 94.7555, aux.loss_ce: 0.0625, aux.acc_seg: 94.4118, loss: 0.2052 2023-02-24 12:18:40,224 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 1 day, 16:57:00, time: 0.987, data_time: 0.011, memory: 19374, decode.loss_ce: 0.1677, decode.acc_seg: 94.1679, aux.loss_ce: 0.0724, aux.acc_seg: 93.7941, loss: 0.2401 2023-02-24 12:19:30,121 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 1 day, 16:56:15, time: 0.998, data_time: 0.022, memory: 19374, decode.loss_ce: 0.1448, decode.acc_seg: 94.7334, aux.loss_ce: 0.0648, aux.acc_seg: 94.2065, loss: 0.2096 2023-02-24 12:20:19,470 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 1 day, 16:55:23, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1339, decode.acc_seg: 95.1433, aux.loss_ce: 0.0609, aux.acc_seg: 94.5766, loss: 0.1948 2023-02-24 12:21:08,571 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 1 day, 16:54:28, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1308, decode.acc_seg: 95.2232, aux.loss_ce: 0.0568, aux.acc_seg: 94.8774, loss: 0.1876 2023-02-24 12:21:57,630 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 1 day, 16:53:32, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1603, decode.acc_seg: 94.3119, aux.loss_ce: 0.0672, aux.acc_seg: 94.1553, loss: 0.2275 2023-02-24 12:22:46,623 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 1 day, 16:52:35, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1517, decode.acc_seg: 94.5671, aux.loss_ce: 0.0643, aux.acc_seg: 94.2904, loss: 0.2159 2023-02-24 12:23:38,988 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 1 day, 16:52:22, time: 1.047, data_time: 0.071, memory: 19374, decode.loss_ce: 0.1524, decode.acc_seg: 94.5854, aux.loss_ce: 0.0646, aux.acc_seg: 94.3520, loss: 0.2170 2023-02-24 12:24:28,519 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 1 day, 16:51:32, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1316, decode.acc_seg: 95.1663, aux.loss_ce: 0.0586, aux.acc_seg: 94.8026, loss: 0.1901 2023-02-24 12:25:17,675 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 1 day, 16:50:37, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1345, decode.acc_seg: 95.0330, aux.loss_ce: 0.0595, aux.acc_seg: 94.6275, loss: 0.1940 2023-02-24 12:26:06,770 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 1 day, 16:49:41, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1428, decode.acc_seg: 94.8378, aux.loss_ce: 0.0638, aux.acc_seg: 94.4388, loss: 0.2065 2023-02-24 12:26:55,996 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 1 day, 16:48:48, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1381, decode.acc_seg: 94.8754, aux.loss_ce: 0.0628, aux.acc_seg: 94.3818, loss: 0.2009 2023-02-24 12:27:45,450 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 1 day, 16:47:57, time: 0.989, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1479, decode.acc_seg: 94.6017, aux.loss_ce: 0.0660, aux.acc_seg: 94.2022, loss: 0.2140 2023-02-24 12:28:34,366 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 1 day, 16:46:59, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1463, decode.acc_seg: 94.7059, aux.loss_ce: 0.0602, aux.acc_seg: 94.7463, loss: 0.2065 2023-02-24 12:29:23,738 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 1 day, 16:46:08, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1449, decode.acc_seg: 94.7352, aux.loss_ce: 0.0622, aux.acc_seg: 94.4530, loss: 0.2071 2023-02-24 12:30:15,470 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 1 day, 16:45:45, time: 1.035, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1407, decode.acc_seg: 94.8071, aux.loss_ce: 0.0615, aux.acc_seg: 94.4156, loss: 0.2022 2023-02-24 12:31:04,625 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:31:04,626 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 1 day, 16:44:51, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1470, decode.acc_seg: 94.8349, aux.loss_ce: 0.0639, aux.acc_seg: 94.4212, loss: 0.2109 2023-02-24 12:31:53,420 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 1 day, 16:43:52, time: 0.976, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1386, decode.acc_seg: 94.9610, aux.loss_ce: 0.0612, aux.acc_seg: 94.5384, loss: 0.1998 2023-02-24 12:32:42,515 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 1 day, 16:42:57, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1536, decode.acc_seg: 94.4630, aux.loss_ce: 0.0665, aux.acc_seg: 94.1282, loss: 0.2201 2023-02-24 12:33:31,605 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 1 day, 16:42:01, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1291, decode.acc_seg: 95.2187, aux.loss_ce: 0.0582, aux.acc_seg: 94.7145, loss: 0.1873 2023-02-24 12:34:20,921 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 1 day, 16:41:09, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1441, decode.acc_seg: 94.7868, aux.loss_ce: 0.0623, aux.acc_seg: 94.3882, loss: 0.2064 2023-02-24 12:35:10,321 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 1 day, 16:40:18, time: 0.988, data_time: 0.016, memory: 19374, decode.loss_ce: 0.1391, decode.acc_seg: 94.8876, aux.loss_ce: 0.0629, aux.acc_seg: 94.3867, loss: 0.2020 2023-02-24 12:36:02,079 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 1 day, 16:39:54, time: 1.035, data_time: 0.058, memory: 19374, decode.loss_ce: 0.1439, decode.acc_seg: 94.7436, aux.loss_ce: 0.0642, aux.acc_seg: 94.3341, loss: 0.2082 2023-02-24 12:36:51,436 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 1 day, 16:39:03, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1288, decode.acc_seg: 95.1868, aux.loss_ce: 0.0592, aux.acc_seg: 94.8073, loss: 0.1881 2023-02-24 12:37:40,493 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 1 day, 16:38:07, time: 0.981, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1297, decode.acc_seg: 95.2127, aux.loss_ce: 0.0594, aux.acc_seg: 94.6316, loss: 0.1890 2023-02-24 12:38:29,699 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 1 day, 16:37:13, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1484, decode.acc_seg: 94.6009, aux.loss_ce: 0.0640, aux.acc_seg: 94.3723, loss: 0.2125 2023-02-24 12:39:18,821 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 1 day, 16:36:19, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1340, decode.acc_seg: 94.9728, aux.loss_ce: 0.0596, aux.acc_seg: 94.6114, loss: 0.1936 2023-02-24 12:40:08,247 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 1 day, 16:35:28, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1497, decode.acc_seg: 94.6702, aux.loss_ce: 0.0645, aux.acc_seg: 94.3809, loss: 0.2142 2023-02-24 12:40:57,295 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 1 day, 16:34:32, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1362, decode.acc_seg: 95.0544, aux.loss_ce: 0.0601, aux.acc_seg: 94.7068, loss: 0.1963 2023-02-24 12:41:49,395 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 1 day, 16:34:12, time: 1.042, data_time: 0.067, memory: 19374, decode.loss_ce: 0.1376, decode.acc_seg: 95.0138, aux.loss_ce: 0.0605, aux.acc_seg: 94.5907, loss: 0.1981 2023-02-24 12:42:38,659 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 1 day, 16:33:19, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1528, decode.acc_seg: 94.7148, aux.loss_ce: 0.0642, aux.acc_seg: 94.4129, loss: 0.2169 2023-02-24 12:43:27,703 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 1 day, 16:32:24, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1453, decode.acc_seg: 94.6703, aux.loss_ce: 0.0628, aux.acc_seg: 94.3276, loss: 0.2082 2023-02-24 12:44:16,998 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 1 day, 16:31:31, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1403, decode.acc_seg: 94.8297, aux.loss_ce: 0.0613, aux.acc_seg: 94.4867, loss: 0.2017 2023-02-24 12:45:05,910 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 1 day, 16:30:34, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1330, decode.acc_seg: 95.0443, aux.loss_ce: 0.0597, aux.acc_seg: 94.5578, loss: 0.1926 2023-02-24 12:45:54,825 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 1 day, 16:29:37, time: 0.978, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1303, decode.acc_seg: 95.2389, aux.loss_ce: 0.0583, aux.acc_seg: 94.8084, loss: 0.1886 2023-02-24 12:46:43,981 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 1 day, 16:28:43, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1587, decode.acc_seg: 94.2556, aux.loss_ce: 0.0670, aux.acc_seg: 94.0049, loss: 0.2256 2023-02-24 12:47:33,230 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 12:47:33,230 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 1 day, 16:27:51, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1397, decode.acc_seg: 94.8537, aux.loss_ce: 0.0621, aux.acc_seg: 94.4813, loss: 0.2018 2023-02-24 12:48:24,928 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 1 day, 16:27:25, time: 1.034, data_time: 0.055, memory: 19374, decode.loss_ce: 0.1401, decode.acc_seg: 94.8221, aux.loss_ce: 0.0589, aux.acc_seg: 94.6743, loss: 0.1989 2023-02-24 12:49:14,228 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 1 day, 16:26:33, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1331, decode.acc_seg: 95.1087, aux.loss_ce: 0.0592, aux.acc_seg: 94.7252, loss: 0.1923 2023-02-24 12:50:03,564 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 1 day, 16:25:41, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1376, decode.acc_seg: 94.9501, aux.loss_ce: 0.0619, aux.acc_seg: 94.5211, loss: 0.1994 2023-02-24 12:50:52,917 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 1 day, 16:24:49, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1344, decode.acc_seg: 95.1382, aux.loss_ce: 0.0595, aux.acc_seg: 94.6526, loss: 0.1940 2023-02-24 12:51:42,270 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 1 day, 16:23:57, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1330, decode.acc_seg: 95.0532, aux.loss_ce: 0.0593, aux.acc_seg: 94.6041, loss: 0.1924 2023-02-24 12:52:31,324 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 1 day, 16:23:02, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1328, decode.acc_seg: 95.0917, aux.loss_ce: 0.0590, aux.acc_seg: 94.6514, loss: 0.1918 2023-02-24 12:53:21,048 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 1 day, 16:22:14, time: 0.994, data_time: 0.019, memory: 19374, decode.loss_ce: 0.1422, decode.acc_seg: 94.6638, aux.loss_ce: 0.0637, aux.acc_seg: 94.2302, loss: 0.2059 2023-02-24 12:54:12,754 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 1 day, 16:21:48, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1379, decode.acc_seg: 94.8753, aux.loss_ce: 0.0588, aux.acc_seg: 94.5706, loss: 0.1967 2023-02-24 12:55:02,054 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 1 day, 16:20:56, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1483, decode.acc_seg: 94.6756, aux.loss_ce: 0.0645, aux.acc_seg: 94.3551, loss: 0.2128 2023-02-24 12:55:51,451 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 1 day, 16:20:05, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1356, decode.acc_seg: 94.9573, aux.loss_ce: 0.0584, aux.acc_seg: 94.6315, loss: 0.1939 2023-02-24 12:56:41,259 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 1 day, 16:19:18, time: 0.996, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1398, decode.acc_seg: 94.9130, aux.loss_ce: 0.0615, aux.acc_seg: 94.5567, loss: 0.2013 2023-02-24 12:57:30,291 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 1 day, 16:18:22, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1418, decode.acc_seg: 94.8630, aux.loss_ce: 0.0621, aux.acc_seg: 94.4043, loss: 0.2039 2023-02-24 12:58:19,412 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 1 day, 16:17:28, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1518, decode.acc_seg: 94.5023, aux.loss_ce: 0.0659, aux.acc_seg: 94.1770, loss: 0.2177 2023-02-24 12:59:08,449 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 1 day, 16:16:33, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1507, decode.acc_seg: 94.7424, aux.loss_ce: 0.0638, aux.acc_seg: 94.4767, loss: 0.2145 2023-02-24 12:59:56,698 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 1 day, 16:15:30, time: 0.965, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1513, decode.acc_seg: 94.3139, aux.loss_ce: 0.0668, aux.acc_seg: 93.9145, loss: 0.2181 2023-02-24 13:00:47,945 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 1 day, 16:14:58, time: 1.025, data_time: 0.067, memory: 19374, decode.loss_ce: 0.1251, decode.acc_seg: 95.3786, aux.loss_ce: 0.0567, aux.acc_seg: 94.9207, loss: 0.1817 2023-02-24 13:01:36,883 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 1 day, 16:14:02, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1319, decode.acc_seg: 95.0528, aux.loss_ce: 0.0586, aux.acc_seg: 94.7040, loss: 0.1904 2023-02-24 13:02:26,339 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 1 day, 16:13:12, time: 0.989, data_time: 0.016, memory: 19374, decode.loss_ce: 0.1365, decode.acc_seg: 95.0711, aux.loss_ce: 0.0597, aux.acc_seg: 94.6415, loss: 0.1962 2023-02-24 13:03:15,602 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 1 day, 16:12:19, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1218, decode.acc_seg: 95.4766, aux.loss_ce: 0.0540, aux.acc_seg: 95.1112, loss: 0.1758 2023-02-24 13:04:04,743 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:04:04,744 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 1 day, 16:11:25, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1391, decode.acc_seg: 94.9085, aux.loss_ce: 0.0616, aux.acc_seg: 94.5170, loss: 0.2007 2023-02-24 13:04:54,022 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 1 day, 16:10:33, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1133, decode.acc_seg: 95.7276, aux.loss_ce: 0.0511, aux.acc_seg: 95.3323, loss: 0.1644 2023-02-24 13:05:43,206 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 1 day, 16:09:40, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1223, decode.acc_seg: 95.3589, aux.loss_ce: 0.0557, aux.acc_seg: 94.8615, loss: 0.1779 2023-02-24 13:06:34,878 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 1 day, 16:09:12, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1384, decode.acc_seg: 95.0705, aux.loss_ce: 0.0630, aux.acc_seg: 94.5002, loss: 0.2014 2023-02-24 13:07:24,008 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 1 day, 16:08:18, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1415, decode.acc_seg: 94.8227, aux.loss_ce: 0.0612, aux.acc_seg: 94.4247, loss: 0.2027 2023-02-24 13:08:12,932 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 1 day, 16:07:22, time: 0.978, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1349, decode.acc_seg: 95.0298, aux.loss_ce: 0.0605, aux.acc_seg: 94.6286, loss: 0.1955 2023-02-24 13:09:01,962 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 1 day, 16:06:27, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1279, decode.acc_seg: 95.2440, aux.loss_ce: 0.0569, aux.acc_seg: 94.7784, loss: 0.1848 2023-02-24 13:09:51,897 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 1 day, 16:05:41, time: 0.999, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1250, decode.acc_seg: 95.3438, aux.loss_ce: 0.0565, aux.acc_seg: 94.9075, loss: 0.1815 2023-02-24 13:10:41,291 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 1 day, 16:04:50, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1369, decode.acc_seg: 94.8744, aux.loss_ce: 0.0608, aux.acc_seg: 94.4263, loss: 0.1977 2023-02-24 13:11:30,718 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 1 day, 16:04:00, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1268, decode.acc_seg: 95.1865, aux.loss_ce: 0.0561, aux.acc_seg: 94.8128, loss: 0.1830 2023-02-24 13:12:19,681 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 1 day, 16:03:04, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1266, decode.acc_seg: 95.3207, aux.loss_ce: 0.0562, aux.acc_seg: 94.9447, loss: 0.1828 2023-02-24 13:13:11,686 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 1 day, 16:02:39, time: 1.040, data_time: 0.060, memory: 19374, decode.loss_ce: 0.1283, decode.acc_seg: 95.2086, aux.loss_ce: 0.0587, aux.acc_seg: 94.6907, loss: 0.1870 2023-02-24 13:14:00,755 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 1 day, 16:01:45, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1314, decode.acc_seg: 95.0581, aux.loss_ce: 0.0587, aux.acc_seg: 94.6572, loss: 0.1901 2023-02-24 13:14:49,899 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 1 day, 16:00:51, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1301, decode.acc_seg: 95.2196, aux.loss_ce: 0.0574, aux.acc_seg: 94.7998, loss: 0.1876 2023-02-24 13:15:38,790 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 1 day, 15:59:55, time: 0.978, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1295, decode.acc_seg: 95.2195, aux.loss_ce: 0.0572, aux.acc_seg: 94.8469, loss: 0.1868 2023-02-24 13:16:28,073 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 1 day, 15:59:03, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1345, decode.acc_seg: 94.7754, aux.loss_ce: 0.0587, aux.acc_seg: 94.5747, loss: 0.1932 2023-02-24 13:17:17,331 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 1 day, 15:58:10, time: 0.985, data_time: 0.010, memory: 19374, decode.loss_ce: 0.1347, decode.acc_seg: 95.0429, aux.loss_ce: 0.0578, aux.acc_seg: 94.7895, loss: 0.1925 2023-02-24 13:18:07,176 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 1 day, 15:57:24, time: 0.997, data_time: 0.023, memory: 19374, decode.loss_ce: 0.1270, decode.acc_seg: 95.2441, aux.loss_ce: 0.0579, aux.acc_seg: 94.7495, loss: 0.1849 2023-02-24 13:18:58,850 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 1 day, 15:56:55, time: 1.033, data_time: 0.060, memory: 19374, decode.loss_ce: 0.1255, decode.acc_seg: 95.4004, aux.loss_ce: 0.0559, aux.acc_seg: 94.9787, loss: 0.1813 2023-02-24 13:19:48,489 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 1 day, 15:56:06, time: 0.993, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1302, decode.acc_seg: 95.1724, aux.loss_ce: 0.0578, aux.acc_seg: 94.7645, loss: 0.1880 2023-02-24 13:20:37,758 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:20:37,759 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 1 day, 15:55:14, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1300, decode.acc_seg: 95.1203, aux.loss_ce: 0.0564, aux.acc_seg: 94.8300, loss: 0.1864 2023-02-24 13:21:27,196 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 1 day, 15:54:23, time: 0.989, data_time: 0.015, memory: 19374, decode.loss_ce: 0.1464, decode.acc_seg: 94.7174, aux.loss_ce: 0.0617, aux.acc_seg: 94.4713, loss: 0.2081 2023-02-24 13:22:16,183 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 1 day, 15:53:28, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1244, decode.acc_seg: 95.4027, aux.loss_ce: 0.0566, aux.acc_seg: 94.9192, loss: 0.1810 2023-02-24 13:23:05,408 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 1 day, 15:52:35, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1251, decode.acc_seg: 95.3353, aux.loss_ce: 0.0564, aux.acc_seg: 94.9264, loss: 0.1814 2023-02-24 13:23:54,521 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 1 day, 15:51:41, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1196, decode.acc_seg: 95.4873, aux.loss_ce: 0.0543, aux.acc_seg: 95.0753, loss: 0.1739 2023-02-24 13:24:43,516 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 1 day, 15:50:47, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1411, decode.acc_seg: 94.9836, aux.loss_ce: 0.0608, aux.acc_seg: 94.7307, loss: 0.2019 2023-02-24 13:25:35,974 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 1 day, 15:50:25, time: 1.049, data_time: 0.071, memory: 19374, decode.loss_ce: 0.1419, decode.acc_seg: 94.8994, aux.loss_ce: 0.0598, aux.acc_seg: 94.6832, loss: 0.2017 2023-02-24 13:26:25,247 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 1 day, 15:49:32, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1423, decode.acc_seg: 94.8660, aux.loss_ce: 0.0595, aux.acc_seg: 94.7029, loss: 0.2017 2023-02-24 13:27:14,624 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 1 day, 15:48:41, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1281, decode.acc_seg: 95.2396, aux.loss_ce: 0.0571, aux.acc_seg: 94.8285, loss: 0.1852 2023-02-24 13:28:03,881 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 1 day, 15:47:49, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1358, decode.acc_seg: 95.0040, aux.loss_ce: 0.0620, aux.acc_seg: 94.4174, loss: 0.1978 2023-02-24 13:28:52,856 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 1 day, 15:46:54, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1302, decode.acc_seg: 95.1451, aux.loss_ce: 0.0573, aux.acc_seg: 94.6989, loss: 0.1875 2023-02-24 13:29:42,344 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 1 day, 15:46:04, time: 0.990, data_time: 0.016, memory: 19374, decode.loss_ce: 0.1266, decode.acc_seg: 95.2575, aux.loss_ce: 0.0563, aux.acc_seg: 94.8125, loss: 0.1828 2023-02-24 13:30:31,564 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 1 day, 15:45:11, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1357, decode.acc_seg: 94.9589, aux.loss_ce: 0.0587, aux.acc_seg: 94.6454, loss: 0.1944 2023-02-24 13:31:23,323 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 1 day, 15:44:42, time: 1.035, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1335, decode.acc_seg: 95.2843, aux.loss_ce: 0.0566, aux.acc_seg: 95.0146, loss: 0.1901 2023-02-24 13:32:12,816 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 1 day, 15:43:51, time: 0.990, data_time: 0.011, memory: 19374, decode.loss_ce: 0.1389, decode.acc_seg: 94.7866, aux.loss_ce: 0.0604, aux.acc_seg: 94.5001, loss: 0.1993 2023-02-24 13:33:02,777 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 1 day, 15:43:06, time: 0.999, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1251, decode.acc_seg: 95.3368, aux.loss_ce: 0.0560, aux.acc_seg: 94.9537, loss: 0.1811 2023-02-24 13:33:52,133 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 1 day, 15:42:14, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1254, decode.acc_seg: 95.2941, aux.loss_ce: 0.0553, aux.acc_seg: 94.9558, loss: 0.1807 2023-02-24 13:34:41,434 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 1 day, 15:41:22, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1370, decode.acc_seg: 94.9444, aux.loss_ce: 0.0613, aux.acc_seg: 94.5097, loss: 0.1982 2023-02-24 13:35:30,932 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 1 day, 15:40:32, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1263, decode.acc_seg: 95.4249, aux.loss_ce: 0.0563, aux.acc_seg: 95.0012, loss: 0.1825 2023-02-24 13:36:20,140 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 1 day, 15:39:39, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1301, decode.acc_seg: 95.1515, aux.loss_ce: 0.0579, aux.acc_seg: 94.6993, loss: 0.1880 2023-02-24 13:37:11,457 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-02-24 13:37:20,035 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:37:20,036 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 1 day, 15:40:23, time: 1.198, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1337, decode.acc_seg: 95.2584, aux.loss_ce: 0.0596, aux.acc_seg: 94.7430, loss: 0.1933 2023-02-24 13:38:54,699 - mmseg - INFO - per class results: 2023-02-24 13:38:54,749 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.32 | 98.81 | | sidewalk | 86.13 | 93.56 | | building | 92.47 | 95.3 | | wall | 40.28 | 42.84 | | fence | 62.85 | 81.57 | | pole | 65.24 | 75.76 | | traffic light | 69.47 | 75.55 | | traffic sign | 80.63 | 90.65 | | vegetation | 92.44 | 97.11 | | terrain | 63.14 | 83.19 | | sky | 94.17 | 98.94 | | person | 83.31 | 94.13 | | rider | 62.14 | 70.32 | | car | 94.25 | 98.91 | | truck | 81.21 | 84.4 | | bus | 85.13 | 93.66 | | train | 65.57 | 66.23 | | motorcycle | 70.54 | 81.84 | | bicycle | 79.12 | 90.03 | +---------------+-------+-------+ 2023-02-24 13:38:54,750 - mmseg - INFO - Summary: 2023-02-24 13:38:54,750 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.05 | 77.18 | 84.88 | +-------+-------+-------+ 2023-02-24 13:39:01,460 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-02-24 13:39:01,462 - mmseg - INFO - Best mIoU is 0.7718 at 16000 iter. 2023-02-24 13:39:01,462 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:39:01,462 - mmseg - INFO - Iter(val) [125] aAcc: 0.9605, mIoU: 0.7718, mAcc: 0.8488, IoU.road: 0.9832, IoU.sidewalk: 0.8613, IoU.building: 0.9247, IoU.wall: 0.4028, IoU.fence: 0.6285, IoU.pole: 0.6524, IoU.traffic light: 0.6947, IoU.traffic sign: 0.8063, IoU.vegetation: 0.9244, IoU.terrain: 0.6314, IoU.sky: 0.9417, IoU.person: 0.8331, IoU.rider: 0.6214, IoU.car: 0.9425, IoU.truck: 0.8121, IoU.bus: 0.8513, IoU.train: 0.6557, IoU.motorcycle: 0.7054, IoU.bicycle: 0.7912, Acc.road: 0.9881, Acc.sidewalk: 0.9356, Acc.building: 0.9530, Acc.wall: 0.4284, Acc.fence: 0.8157, Acc.pole: 0.7576, Acc.traffic light: 0.7555, Acc.traffic sign: 0.9065, Acc.vegetation: 0.9711, Acc.terrain: 0.8319, Acc.sky: 0.9894, Acc.person: 0.9413, Acc.rider: 0.7032, Acc.car: 0.9891, Acc.truck: 0.8440, Acc.bus: 0.9366, Acc.train: 0.6623, Acc.motorcycle: 0.8184, Acc.bicycle: 0.9003 2023-02-24 13:39:50,737 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 1 day, 15:54:40, time: 3.014, data_time: 2.037, memory: 19374, decode.loss_ce: 0.1232, decode.acc_seg: 95.3723, aux.loss_ce: 0.0547, aux.acc_seg: 95.0259, loss: 0.1778 2023-02-24 13:40:40,140 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 1 day, 15:53:46, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1334, decode.acc_seg: 95.0324, aux.loss_ce: 0.0593, aux.acc_seg: 94.6465, loss: 0.1926 2023-02-24 13:41:29,291 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 1 day, 15:52:49, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1380, decode.acc_seg: 95.0226, aux.loss_ce: 0.0616, aux.acc_seg: 94.4585, loss: 0.1996 2023-02-24 13:42:18,512 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 1 day, 15:51:53, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1443, decode.acc_seg: 94.6770, aux.loss_ce: 0.0618, aux.acc_seg: 94.3895, loss: 0.2060 2023-02-24 13:43:08,034 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 1 day, 15:51:00, time: 0.990, data_time: 0.012, memory: 19374, decode.loss_ce: 0.1221, decode.acc_seg: 95.4838, aux.loss_ce: 0.0555, aux.acc_seg: 94.9991, loss: 0.1776 2023-02-24 13:43:57,055 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 1 day, 15:50:02, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1236, decode.acc_seg: 95.4953, aux.loss_ce: 0.0551, aux.acc_seg: 95.0911, loss: 0.1787 2023-02-24 13:44:46,157 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 1 day, 15:49:05, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1172, decode.acc_seg: 95.7064, aux.loss_ce: 0.0527, aux.acc_seg: 95.2462, loss: 0.1699 2023-02-24 13:45:37,829 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 1 day, 15:48:31, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1352, decode.acc_seg: 94.8877, aux.loss_ce: 0.0593, aux.acc_seg: 94.5624, loss: 0.1945 2023-02-24 13:46:27,197 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 1 day, 15:47:36, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1238, decode.acc_seg: 95.3386, aux.loss_ce: 0.0559, aux.acc_seg: 94.9480, loss: 0.1798 2023-02-24 13:47:16,436 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 1 day, 15:46:41, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1224, decode.acc_seg: 95.4299, aux.loss_ce: 0.0543, aux.acc_seg: 95.0547, loss: 0.1768 2023-02-24 13:48:05,314 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 1 day, 15:45:42, time: 0.977, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1219, decode.acc_seg: 95.5699, aux.loss_ce: 0.0542, aux.acc_seg: 95.1068, loss: 0.1762 2023-02-24 13:48:54,523 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 1 day, 15:44:46, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1271, decode.acc_seg: 95.2059, aux.loss_ce: 0.0564, aux.acc_seg: 94.8304, loss: 0.1835 2023-02-24 13:49:43,683 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 1 day, 15:43:50, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1342, decode.acc_seg: 95.1805, aux.loss_ce: 0.0577, aux.acc_seg: 94.7971, loss: 0.1919 2023-02-24 13:50:33,182 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 1 day, 15:42:57, time: 0.990, data_time: 0.016, memory: 19374, decode.loss_ce: 0.1237, decode.acc_seg: 95.4036, aux.loss_ce: 0.0556, aux.acc_seg: 95.0006, loss: 0.1792 2023-02-24 13:51:24,648 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 1 day, 15:42:20, time: 1.029, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1209, decode.acc_seg: 95.4540, aux.loss_ce: 0.0553, aux.acc_seg: 94.9910, loss: 0.1762 2023-02-24 13:52:14,137 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 1 day, 15:41:27, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1382, decode.acc_seg: 95.0642, aux.loss_ce: 0.0600, aux.acc_seg: 94.7414, loss: 0.1982 2023-02-24 13:53:03,226 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 1 day, 15:40:30, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1240, decode.acc_seg: 95.3420, aux.loss_ce: 0.0544, aux.acc_seg: 94.9625, loss: 0.1784 2023-02-24 13:53:52,364 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 1 day, 15:39:34, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1407, decode.acc_seg: 95.0761, aux.loss_ce: 0.0602, aux.acc_seg: 94.7664, loss: 0.2009 2023-02-24 13:54:41,592 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 1 day, 15:38:38, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1452, decode.acc_seg: 94.8506, aux.loss_ce: 0.0629, aux.acc_seg: 94.3529, loss: 0.2081 2023-02-24 13:55:30,645 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 13:55:30,646 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 1 day, 15:37:42, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1304, decode.acc_seg: 95.2848, aux.loss_ce: 0.0570, aux.acc_seg: 94.8696, loss: 0.1874 2023-02-24 13:56:20,009 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 1 day, 15:36:47, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1266, decode.acc_seg: 95.3205, aux.loss_ce: 0.0566, aux.acc_seg: 94.8943, loss: 0.1831 2023-02-24 13:57:09,326 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 1 day, 15:35:53, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1194, decode.acc_seg: 95.5996, aux.loss_ce: 0.0524, aux.acc_seg: 95.2707, loss: 0.1719 2023-02-24 13:58:01,827 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 1 day, 15:35:25, time: 1.050, data_time: 0.070, memory: 19374, decode.loss_ce: 0.1317, decode.acc_seg: 95.0915, aux.loss_ce: 0.0584, aux.acc_seg: 94.6896, loss: 0.1902 2023-02-24 13:58:51,173 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 1 day, 15:34:30, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1347, decode.acc_seg: 95.1256, aux.loss_ce: 0.0582, aux.acc_seg: 94.7800, loss: 0.1929 2023-02-24 13:59:40,406 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 1 day, 15:33:35, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1246, decode.acc_seg: 95.4615, aux.loss_ce: 0.0540, aux.acc_seg: 95.1742, loss: 0.1786 2023-02-24 14:00:29,744 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 1 day, 15:32:41, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1195, decode.acc_seg: 95.5940, aux.loss_ce: 0.0534, aux.acc_seg: 95.1690, loss: 0.1729 2023-02-24 14:01:19,116 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 1 day, 15:31:47, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1188, decode.acc_seg: 95.4981, aux.loss_ce: 0.0547, aux.acc_seg: 94.9734, loss: 0.1735 2023-02-24 14:02:08,665 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 1 day, 15:30:54, time: 0.991, data_time: 0.011, memory: 19374, decode.loss_ce: 0.1200, decode.acc_seg: 95.5930, aux.loss_ce: 0.0536, aux.acc_seg: 95.1739, loss: 0.1736 2023-02-24 14:02:57,732 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 1 day, 15:29:58, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1351, decode.acc_seg: 94.9990, aux.loss_ce: 0.0601, aux.acc_seg: 94.5744, loss: 0.1952 2023-02-24 14:03:49,260 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 1 day, 15:29:21, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.1534, decode.acc_seg: 94.6214, aux.loss_ce: 0.0660, aux.acc_seg: 94.2834, loss: 0.2194 2023-02-24 14:04:38,188 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 1 day, 15:28:24, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1275, decode.acc_seg: 95.2148, aux.loss_ce: 0.0555, aux.acc_seg: 94.9682, loss: 0.1830 2023-02-24 14:05:27,286 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 1 day, 15:27:27, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1326, decode.acc_seg: 95.1490, aux.loss_ce: 0.0574, aux.acc_seg: 94.8597, loss: 0.1900 2023-02-24 14:06:16,727 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 1 day, 15:26:34, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1216, decode.acc_seg: 95.3590, aux.loss_ce: 0.0540, aux.acc_seg: 94.9957, loss: 0.1756 2023-02-24 14:07:06,035 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 1 day, 15:25:40, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1251, decode.acc_seg: 95.3636, aux.loss_ce: 0.0570, aux.acc_seg: 94.8614, loss: 0.1821 2023-02-24 14:07:55,475 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 1 day, 15:24:46, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1425, decode.acc_seg: 94.8177, aux.loss_ce: 0.0620, aux.acc_seg: 94.4559, loss: 0.2045 2023-02-24 14:08:44,757 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 1 day, 15:23:52, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1277, decode.acc_seg: 95.2543, aux.loss_ce: 0.0550, aux.acc_seg: 94.9668, loss: 0.1827 2023-02-24 14:09:34,178 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 1 day, 15:22:58, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1508, decode.acc_seg: 94.5325, aux.loss_ce: 0.0611, aux.acc_seg: 94.5989, loss: 0.2119 2023-02-24 14:10:26,071 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 1 day, 15:22:24, time: 1.038, data_time: 0.063, memory: 19374, decode.loss_ce: 0.1362, decode.acc_seg: 95.0089, aux.loss_ce: 0.0592, aux.acc_seg: 94.7668, loss: 0.1954 2023-02-24 14:11:15,270 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 1 day, 15:21:29, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1214, decode.acc_seg: 95.5236, aux.loss_ce: 0.0557, aux.acc_seg: 94.9438, loss: 0.1771 2023-02-24 14:12:04,627 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:12:04,628 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 1 day, 15:20:35, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1306, decode.acc_seg: 95.2155, aux.loss_ce: 0.0596, aux.acc_seg: 94.6890, loss: 0.1901 2023-02-24 14:12:53,935 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 1 day, 15:19:41, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1214, decode.acc_seg: 95.4765, aux.loss_ce: 0.0550, aux.acc_seg: 95.0116, loss: 0.1764 2023-02-24 14:13:43,755 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 1 day, 15:18:51, time: 0.996, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1403, decode.acc_seg: 94.7643, aux.loss_ce: 0.0609, aux.acc_seg: 94.5666, loss: 0.2012 2023-02-24 14:14:32,983 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 1 day, 15:17:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1259, decode.acc_seg: 95.4850, aux.loss_ce: 0.0529, aux.acc_seg: 95.2086, loss: 0.1788 2023-02-24 14:15:22,062 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 1 day, 15:17:00, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1295, decode.acc_seg: 95.3436, aux.loss_ce: 0.0573, aux.acc_seg: 94.9137, loss: 0.1867 2023-02-24 14:16:13,784 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 1 day, 15:16:24, time: 1.034, data_time: 0.058, memory: 19374, decode.loss_ce: 0.1217, decode.acc_seg: 95.7330, aux.loss_ce: 0.0521, aux.acc_seg: 95.3772, loss: 0.1737 2023-02-24 14:17:03,032 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 1 day, 15:15:29, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1225, decode.acc_seg: 95.4145, aux.loss_ce: 0.0547, aux.acc_seg: 95.0275, loss: 0.1772 2023-02-24 14:17:52,347 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 1 day, 15:14:35, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1260, decode.acc_seg: 95.3594, aux.loss_ce: 0.0562, aux.acc_seg: 94.8792, loss: 0.1822 2023-02-24 14:18:41,556 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 1 day, 15:13:40, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1220, decode.acc_seg: 95.4209, aux.loss_ce: 0.0552, aux.acc_seg: 94.9579, loss: 0.1772 2023-02-24 14:19:30,691 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 1 day, 15:12:45, time: 0.983, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1214, decode.acc_seg: 95.5189, aux.loss_ce: 0.0528, aux.acc_seg: 95.2064, loss: 0.1743 2023-02-24 14:20:19,855 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 1 day, 15:11:50, time: 0.983, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1407, decode.acc_seg: 94.9673, aux.loss_ce: 0.0633, aux.acc_seg: 94.4824, loss: 0.2040 2023-02-24 14:21:09,106 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 1 day, 15:10:55, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1261, decode.acc_seg: 95.3046, aux.loss_ce: 0.0555, aux.acc_seg: 94.9517, loss: 0.1816 2023-02-24 14:21:58,395 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 1 day, 15:10:01, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1311, decode.acc_seg: 95.1702, aux.loss_ce: 0.0577, aux.acc_seg: 94.7945, loss: 0.1888 2023-02-24 14:22:50,158 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 1 day, 15:09:26, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1249, decode.acc_seg: 95.2872, aux.loss_ce: 0.0560, aux.acc_seg: 94.8061, loss: 0.1809 2023-02-24 14:23:39,443 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 1 day, 15:08:31, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1201, decode.acc_seg: 95.5210, aux.loss_ce: 0.0525, aux.acc_seg: 95.2476, loss: 0.1726 2023-02-24 14:24:29,000 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 1 day, 15:07:39, time: 0.991, data_time: 0.014, memory: 19374, decode.loss_ce: 0.1175, decode.acc_seg: 95.6930, aux.loss_ce: 0.0540, aux.acc_seg: 95.2443, loss: 0.1715 2023-02-24 14:25:18,275 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 1 day, 15:06:45, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1095, decode.acc_seg: 95.8664, aux.loss_ce: 0.0495, aux.acc_seg: 95.4036, loss: 0.1590 2023-02-24 14:26:07,695 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 1 day, 15:05:52, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1242, decode.acc_seg: 95.2885, aux.loss_ce: 0.0564, aux.acc_seg: 94.7943, loss: 0.1806 2023-02-24 14:26:57,125 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 1 day, 15:04:59, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1176, decode.acc_seg: 95.6338, aux.loss_ce: 0.0520, aux.acc_seg: 95.3145, loss: 0.1697 2023-02-24 14:27:46,437 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 1 day, 15:04:05, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1170, decode.acc_seg: 95.6083, aux.loss_ce: 0.0524, aux.acc_seg: 95.1509, loss: 0.1694 2023-02-24 14:28:38,203 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:28:38,203 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 1 day, 15:03:29, time: 1.035, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1207, decode.acc_seg: 95.4152, aux.loss_ce: 0.0550, aux.acc_seg: 94.9170, loss: 0.1758 2023-02-24 14:29:27,331 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 1 day, 15:02:34, time: 0.983, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1167, decode.acc_seg: 95.6362, aux.loss_ce: 0.0531, aux.acc_seg: 95.1761, loss: 0.1698 2023-02-24 14:30:16,538 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 1 day, 15:01:39, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1182, decode.acc_seg: 95.3826, aux.loss_ce: 0.0530, aux.acc_seg: 95.0148, loss: 0.1712 2023-02-24 14:31:05,829 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 1 day, 15:00:45, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1348, decode.acc_seg: 95.3779, aux.loss_ce: 0.0573, aux.acc_seg: 94.9783, loss: 0.1921 2023-02-24 14:31:54,922 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 1 day, 14:59:50, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1272, decode.acc_seg: 95.3461, aux.loss_ce: 0.0560, aux.acc_seg: 94.9167, loss: 0.1832 2023-02-24 14:32:43,437 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 1 day, 14:58:50, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1348, decode.acc_seg: 95.1506, aux.loss_ce: 0.0571, aux.acc_seg: 94.8404, loss: 0.1919 2023-02-24 14:33:31,619 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 1 day, 14:57:48, time: 0.964, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1179, decode.acc_seg: 95.6120, aux.loss_ce: 0.0524, aux.acc_seg: 95.2208, loss: 0.1703 2023-02-24 14:34:22,662 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 1 day, 14:57:07, time: 1.021, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1205, decode.acc_seg: 95.5459, aux.loss_ce: 0.0547, aux.acc_seg: 95.0435, loss: 0.1752 2023-02-24 14:35:11,982 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 1 day, 14:56:13, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1127, decode.acc_seg: 95.7353, aux.loss_ce: 0.0510, aux.acc_seg: 95.3138, loss: 0.1637 2023-02-24 14:36:01,187 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 1 day, 14:55:19, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1265, decode.acc_seg: 95.3230, aux.loss_ce: 0.0557, aux.acc_seg: 94.9117, loss: 0.1822 2023-02-24 14:36:50,422 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 1 day, 14:54:24, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1425, decode.acc_seg: 94.8611, aux.loss_ce: 0.0587, aux.acc_seg: 94.7863, loss: 0.2012 2023-02-24 14:37:39,424 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 1 day, 14:53:28, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1137, decode.acc_seg: 95.7500, aux.loss_ce: 0.0525, aux.acc_seg: 95.2187, loss: 0.1662 2023-02-24 14:38:28,732 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 1 day, 14:52:35, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1184, decode.acc_seg: 95.5386, aux.loss_ce: 0.0529, aux.acc_seg: 95.1318, loss: 0.1712 2023-02-24 14:39:17,980 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 1 day, 14:51:41, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1235, decode.acc_seg: 95.3061, aux.loss_ce: 0.0541, aux.acc_seg: 95.0498, loss: 0.1776 2023-02-24 14:40:07,158 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 1 day, 14:50:46, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1171, decode.acc_seg: 95.6458, aux.loss_ce: 0.0520, aux.acc_seg: 95.2708, loss: 0.1691 2023-02-24 14:40:59,070 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 1 day, 14:50:11, time: 1.038, data_time: 0.061, memory: 19374, decode.loss_ce: 0.1314, decode.acc_seg: 95.1988, aux.loss_ce: 0.0575, aux.acc_seg: 94.7963, loss: 0.1889 2023-02-24 14:41:48,244 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 1 day, 14:49:16, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1153, decode.acc_seg: 95.6321, aux.loss_ce: 0.0527, aux.acc_seg: 95.1050, loss: 0.1680 2023-02-24 14:42:37,429 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 1 day, 14:48:22, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1169, decode.acc_seg: 95.6419, aux.loss_ce: 0.0525, aux.acc_seg: 95.2276, loss: 0.1694 2023-02-24 14:43:26,713 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 1 day, 14:47:28, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1169, decode.acc_seg: 95.5635, aux.loss_ce: 0.0527, aux.acc_seg: 95.0849, loss: 0.1696 2023-02-24 14:44:15,921 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 1 day, 14:46:34, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1211, decode.acc_seg: 95.4981, aux.loss_ce: 0.0525, aux.acc_seg: 95.1147, loss: 0.1736 2023-02-24 14:45:05,393 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 14:45:05,394 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 1 day, 14:45:41, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1173, decode.acc_seg: 95.6030, aux.loss_ce: 0.0532, aux.acc_seg: 95.1939, loss: 0.1706 2023-02-24 14:45:54,604 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 1 day, 14:44:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1242, decode.acc_seg: 95.4091, aux.loss_ce: 0.0559, aux.acc_seg: 94.9456, loss: 0.1801 2023-02-24 14:46:46,338 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 1 day, 14:44:11, time: 1.035, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1250, decode.acc_seg: 95.3229, aux.loss_ce: 0.0538, aux.acc_seg: 95.1000, loss: 0.1788 2023-02-24 14:47:35,591 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 1 day, 14:43:17, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1197, decode.acc_seg: 95.5258, aux.loss_ce: 0.0555, aux.acc_seg: 94.9514, loss: 0.1752 2023-02-24 14:48:24,914 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 1 day, 14:42:23, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1240, decode.acc_seg: 95.3098, aux.loss_ce: 0.0554, aux.acc_seg: 94.9421, loss: 0.1794 2023-02-24 14:49:14,684 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 1 day, 14:41:33, time: 0.996, data_time: 0.017, memory: 19374, decode.loss_ce: 0.1273, decode.acc_seg: 95.3769, aux.loss_ce: 0.0564, aux.acc_seg: 95.0276, loss: 0.1836 2023-02-24 14:50:03,668 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 1 day, 14:40:37, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1132, decode.acc_seg: 95.7615, aux.loss_ce: 0.0525, aux.acc_seg: 95.2258, loss: 0.1657 2023-02-24 14:50:52,612 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 1 day, 14:39:41, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1136, decode.acc_seg: 95.6473, aux.loss_ce: 0.0518, aux.acc_seg: 95.1563, loss: 0.1654 2023-02-24 14:51:41,710 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 1 day, 14:38:46, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1102, decode.acc_seg: 95.7872, aux.loss_ce: 0.0498, aux.acc_seg: 95.3541, loss: 0.1600 2023-02-24 14:52:30,935 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 1 day, 14:37:52, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1111, decode.acc_seg: 95.7247, aux.loss_ce: 0.0500, aux.acc_seg: 95.3102, loss: 0.1610 2023-02-24 14:53:22,537 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 1 day, 14:37:15, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1128, decode.acc_seg: 95.7509, aux.loss_ce: 0.0511, aux.acc_seg: 95.3146, loss: 0.1639 2023-02-24 14:54:11,648 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 1 day, 14:36:20, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1160, decode.acc_seg: 95.6571, aux.loss_ce: 0.0524, aux.acc_seg: 95.1668, loss: 0.1684 2023-02-24 14:55:00,972 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 1 day, 14:35:27, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1057, decode.acc_seg: 95.9979, aux.loss_ce: 0.0476, aux.acc_seg: 95.6333, loss: 0.1532 2023-02-24 14:55:50,320 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 1 day, 14:34:34, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1205, decode.acc_seg: 95.3734, aux.loss_ce: 0.0548, aux.acc_seg: 94.9207, loss: 0.1753 2023-02-24 14:56:39,993 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 1 day, 14:33:43, time: 0.993, data_time: 0.013, memory: 19374, decode.loss_ce: 0.1112, decode.acc_seg: 95.7050, aux.loss_ce: 0.0510, aux.acc_seg: 95.1946, loss: 0.1622 2023-02-24 14:57:29,827 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 1 day, 14:32:53, time: 0.996, data_time: 0.022, memory: 19374, decode.loss_ce: 0.1021, decode.acc_seg: 96.0933, aux.loss_ce: 0.0468, aux.acc_seg: 95.6700, loss: 0.1489 2023-02-24 14:58:19,022 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 1 day, 14:31:59, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1035, decode.acc_seg: 96.1293, aux.loss_ce: 0.0470, aux.acc_seg: 95.7316, loss: 0.1505 2023-02-24 14:59:11,497 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 1 day, 14:31:27, time: 1.050, data_time: 0.060, memory: 19374, decode.loss_ce: 0.1091, decode.acc_seg: 95.8240, aux.loss_ce: 0.0491, aux.acc_seg: 95.4191, loss: 0.1582 2023-02-24 15:00:00,585 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 1 day, 14:30:32, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1189, decode.acc_seg: 95.4719, aux.loss_ce: 0.0528, aux.acc_seg: 95.1421, loss: 0.1717 2023-02-24 15:00:50,214 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 1 day, 14:29:41, time: 0.993, data_time: 0.017, memory: 19374, decode.loss_ce: 0.1156, decode.acc_seg: 95.7074, aux.loss_ce: 0.0525, aux.acc_seg: 95.1623, loss: 0.1682 2023-02-24 15:01:39,365 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:01:39,365 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 1 day, 14:28:46, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1232, decode.acc_seg: 95.4750, aux.loss_ce: 0.0556, aux.acc_seg: 94.9822, loss: 0.1788 2023-02-24 15:02:28,456 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 1 day, 14:27:52, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1182, decode.acc_seg: 95.6019, aux.loss_ce: 0.0517, aux.acc_seg: 95.2295, loss: 0.1699 2023-02-24 15:03:17,623 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 1 day, 14:26:57, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1148, decode.acc_seg: 95.7385, aux.loss_ce: 0.0522, aux.acc_seg: 95.2114, loss: 0.1670 2023-02-24 15:04:06,836 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 1 day, 14:26:04, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1072, decode.acc_seg: 95.9174, aux.loss_ce: 0.0480, aux.acc_seg: 95.4596, loss: 0.1552 2023-02-24 15:04:55,937 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 1 day, 14:25:09, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1174, decode.acc_seg: 95.5897, aux.loss_ce: 0.0523, aux.acc_seg: 95.1631, loss: 0.1697 2023-02-24 15:05:47,605 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 1 day, 14:24:31, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1070, decode.acc_seg: 95.9997, aux.loss_ce: 0.0477, aux.acc_seg: 95.6087, loss: 0.1548 2023-02-24 15:06:37,272 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 1 day, 14:23:40, time: 0.993, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1132, decode.acc_seg: 95.7376, aux.loss_ce: 0.0507, aux.acc_seg: 95.3377, loss: 0.1638 2023-02-24 15:07:26,547 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 1 day, 14:22:47, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1134, decode.acc_seg: 95.7223, aux.loss_ce: 0.0509, aux.acc_seg: 95.3322, loss: 0.1642 2023-02-24 15:08:15,842 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 1 day, 14:21:54, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1073, decode.acc_seg: 95.9766, aux.loss_ce: 0.0489, aux.acc_seg: 95.5270, loss: 0.1562 2023-02-24 15:09:05,345 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 1 day, 14:21:02, time: 0.990, data_time: 0.010, memory: 19374, decode.loss_ce: 0.1332, decode.acc_seg: 95.0872, aux.loss_ce: 0.0582, aux.acc_seg: 94.7664, loss: 0.1914 2023-02-24 15:09:54,802 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 1 day, 14:20:10, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1507, decode.acc_seg: 94.6437, aux.loss_ce: 0.0612, aux.acc_seg: 94.5728, loss: 0.2120 2023-02-24 15:10:44,035 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 1 day, 14:19:16, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1318, decode.acc_seg: 95.2072, aux.loss_ce: 0.0570, aux.acc_seg: 94.8312, loss: 0.1889 2023-02-24 15:11:35,599 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 1 day, 14:18:37, time: 1.031, data_time: 0.054, memory: 19374, decode.loss_ce: 0.1175, decode.acc_seg: 95.5725, aux.loss_ce: 0.0527, aux.acc_seg: 95.1475, loss: 0.1701 2023-02-24 15:12:25,680 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 1 day, 14:17:49, time: 1.001, data_time: 0.022, memory: 19374, decode.loss_ce: 0.1147, decode.acc_seg: 95.6888, aux.loss_ce: 0.0522, aux.acc_seg: 95.1790, loss: 0.1669 2023-02-24 15:13:15,618 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 1 day, 14:17:00, time: 0.999, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1139, decode.acc_seg: 95.6914, aux.loss_ce: 0.0514, aux.acc_seg: 95.2470, loss: 0.1653 2023-02-24 15:14:05,874 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 1 day, 14:16:13, time: 1.005, data_time: 0.023, memory: 19374, decode.loss_ce: 0.1380, decode.acc_seg: 94.8308, aux.loss_ce: 0.0571, aux.acc_seg: 94.7010, loss: 0.1951 2023-02-24 15:14:55,663 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 1 day, 14:15:23, time: 0.996, data_time: 0.017, memory: 19374, decode.loss_ce: 0.1164, decode.acc_seg: 95.6603, aux.loss_ce: 0.0510, aux.acc_seg: 95.3178, loss: 0.1674 2023-02-24 15:15:45,646 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 1 day, 14:14:34, time: 1.000, data_time: 0.021, memory: 19374, decode.loss_ce: 0.1199, decode.acc_seg: 95.5496, aux.loss_ce: 0.0537, aux.acc_seg: 94.9799, loss: 0.1736 2023-02-24 15:16:34,904 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 1 day, 14:13:41, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1136, decode.acc_seg: 95.7595, aux.loss_ce: 0.0500, aux.acc_seg: 95.3733, loss: 0.1636 2023-02-24 15:17:26,747 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 1 day, 14:13:03, time: 1.037, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1146, decode.acc_seg: 95.6860, aux.loss_ce: 0.0517, aux.acc_seg: 95.2531, loss: 0.1663 2023-02-24 15:18:16,184 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:18:16,184 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 1 day, 14:12:11, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1097, decode.acc_seg: 95.7912, aux.loss_ce: 0.0508, aux.acc_seg: 95.2961, loss: 0.1604 2023-02-24 15:19:05,668 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 1 day, 14:11:19, time: 0.990, data_time: 0.011, memory: 19374, decode.loss_ce: 0.1037, decode.acc_seg: 96.0510, aux.loss_ce: 0.0480, aux.acc_seg: 95.5186, loss: 0.1517 2023-02-24 15:19:55,792 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 1 day, 14:10:31, time: 1.002, data_time: 0.023, memory: 19374, decode.loss_ce: 0.1082, decode.acc_seg: 95.8824, aux.loss_ce: 0.0501, aux.acc_seg: 95.3227, loss: 0.1583 2023-02-24 15:20:45,759 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 1 day, 14:09:42, time: 1.000, data_time: 0.022, memory: 19374, decode.loss_ce: 0.1157, decode.acc_seg: 95.5375, aux.loss_ce: 0.0528, aux.acc_seg: 95.0641, loss: 0.1685 2023-02-24 15:21:35,091 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 1 day, 14:08:49, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1208, decode.acc_seg: 95.5235, aux.loss_ce: 0.0538, aux.acc_seg: 95.0858, loss: 0.1746 2023-02-24 15:22:24,417 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 1 day, 14:07:56, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1071, decode.acc_seg: 96.0129, aux.loss_ce: 0.0500, aux.acc_seg: 95.4450, loss: 0.1571 2023-02-24 15:23:13,825 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 1 day, 14:07:04, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1057, decode.acc_seg: 95.9877, aux.loss_ce: 0.0489, aux.acc_seg: 95.4688, loss: 0.1546 2023-02-24 15:24:05,597 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 1 day, 14:06:26, time: 1.035, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1052, decode.acc_seg: 95.8882, aux.loss_ce: 0.0474, aux.acc_seg: 95.5246, loss: 0.1526 2023-02-24 15:24:54,732 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 1 day, 14:05:32, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1103, decode.acc_seg: 95.8254, aux.loss_ce: 0.0502, aux.acc_seg: 95.3277, loss: 0.1605 2023-02-24 15:25:43,878 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 1 day, 14:04:38, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1118, decode.acc_seg: 95.8015, aux.loss_ce: 0.0511, aux.acc_seg: 95.3130, loss: 0.1629 2023-02-24 15:26:33,362 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 1 day, 14:03:46, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1024, decode.acc_seg: 96.0683, aux.loss_ce: 0.0470, aux.acc_seg: 95.5787, loss: 0.1494 2023-02-24 15:27:22,555 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 1 day, 14:02:52, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1201, decode.acc_seg: 95.5371, aux.loss_ce: 0.0522, aux.acc_seg: 95.2140, loss: 0.1722 2023-02-24 15:28:11,943 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 1 day, 14:02:00, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1181, decode.acc_seg: 95.5532, aux.loss_ce: 0.0528, aux.acc_seg: 95.1001, loss: 0.1709 2023-02-24 15:29:01,324 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 1 day, 14:01:07, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1220, decode.acc_seg: 95.6666, aux.loss_ce: 0.0548, aux.acc_seg: 95.1187, loss: 0.1768 2023-02-24 15:29:53,404 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 1 day, 14:00:31, time: 1.042, data_time: 0.062, memory: 19374, decode.loss_ce: 0.1298, decode.acc_seg: 95.2581, aux.loss_ce: 0.0569, aux.acc_seg: 94.8242, loss: 0.1867 2023-02-24 15:30:42,638 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 1 day, 13:59:38, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1212, decode.acc_seg: 95.5014, aux.loss_ce: 0.0511, aux.acc_seg: 95.2245, loss: 0.1723 2023-02-24 15:31:31,967 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 1 day, 13:58:45, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1115, decode.acc_seg: 95.8291, aux.loss_ce: 0.0488, aux.acc_seg: 95.4861, loss: 0.1603 2023-02-24 15:32:21,101 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 1 day, 13:57:51, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1070, decode.acc_seg: 95.9718, aux.loss_ce: 0.0483, aux.acc_seg: 95.5290, loss: 0.1553 2023-02-24 15:33:10,966 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 1 day, 13:57:01, time: 0.997, data_time: 0.018, memory: 19374, decode.loss_ce: 0.1127, decode.acc_seg: 95.6663, aux.loss_ce: 0.0517, aux.acc_seg: 95.1464, loss: 0.1644 2023-02-24 15:34:00,277 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 1 day, 13:56:08, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1058, decode.acc_seg: 95.9802, aux.loss_ce: 0.0489, aux.acc_seg: 95.3998, loss: 0.1548 2023-02-24 15:34:49,500 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:34:49,501 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 1 day, 13:55:15, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1166, decode.acc_seg: 95.5954, aux.loss_ce: 0.0526, aux.acc_seg: 95.1403, loss: 0.1693 2023-02-24 15:35:38,486 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 1 day, 13:54:20, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1141, decode.acc_seg: 95.7534, aux.loss_ce: 0.0520, aux.acc_seg: 95.2787, loss: 0.1661 2023-02-24 15:36:29,856 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 1 day, 13:53:39, time: 1.027, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1094, decode.acc_seg: 95.8469, aux.loss_ce: 0.0493, aux.acc_seg: 95.4025, loss: 0.1587 2023-02-24 15:37:18,903 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 1 day, 13:52:45, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1097, decode.acc_seg: 95.8630, aux.loss_ce: 0.0502, aux.acc_seg: 95.3492, loss: 0.1599 2023-02-24 15:38:08,217 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 1 day, 13:51:52, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1089, decode.acc_seg: 95.8887, aux.loss_ce: 0.0508, aux.acc_seg: 95.3062, loss: 0.1597 2023-02-24 15:38:57,545 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 1 day, 13:50:59, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1023, decode.acc_seg: 96.0849, aux.loss_ce: 0.0477, aux.acc_seg: 95.4835, loss: 0.1500 2023-02-24 15:39:46,795 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 1 day, 13:50:06, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1070, decode.acc_seg: 95.9905, aux.loss_ce: 0.0488, aux.acc_seg: 95.5231, loss: 0.1558 2023-02-24 15:40:36,220 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 1 day, 13:49:14, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1024, decode.acc_seg: 96.0809, aux.loss_ce: 0.0472, aux.acc_seg: 95.5418, loss: 0.1496 2023-02-24 15:41:25,662 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 1 day, 13:48:22, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1059, decode.acc_seg: 95.9785, aux.loss_ce: 0.0474, aux.acc_seg: 95.6090, loss: 0.1534 2023-02-24 15:42:17,435 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 1 day, 13:47:44, time: 1.035, data_time: 0.058, memory: 19374, decode.loss_ce: 0.1087, decode.acc_seg: 95.8172, aux.loss_ce: 0.0501, aux.acc_seg: 95.3148, loss: 0.1588 2023-02-24 15:43:06,688 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 1 day, 13:46:51, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1127, decode.acc_seg: 95.6956, aux.loss_ce: 0.0524, aux.acc_seg: 95.1743, loss: 0.1651 2023-02-24 15:43:56,346 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 1 day, 13:46:00, time: 0.993, data_time: 0.013, memory: 19374, decode.loss_ce: 0.1127, decode.acc_seg: 95.7440, aux.loss_ce: 0.0526, aux.acc_seg: 95.0795, loss: 0.1653 2023-02-24 15:44:45,631 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 1 day, 13:45:07, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1102, decode.acc_seg: 95.7517, aux.loss_ce: 0.0518, aux.acc_seg: 95.1264, loss: 0.1620 2023-02-24 15:45:34,930 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 1 day, 13:44:14, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1221, decode.acc_seg: 95.6157, aux.loss_ce: 0.0535, aux.acc_seg: 95.2059, loss: 0.1756 2023-02-24 15:46:24,382 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 1 day, 13:43:22, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1203, decode.acc_seg: 95.6445, aux.loss_ce: 0.0533, aux.acc_seg: 95.1982, loss: 0.1737 2023-02-24 15:47:13,748 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 1 day, 13:42:30, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1086, decode.acc_seg: 95.9069, aux.loss_ce: 0.0493, aux.acc_seg: 95.4050, loss: 0.1579 2023-02-24 15:48:03,082 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 1 day, 13:41:37, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1163, decode.acc_seg: 95.6024, aux.loss_ce: 0.0517, aux.acc_seg: 95.3202, loss: 0.1680 2023-02-24 15:48:54,871 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 1 day, 13:40:59, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1322, decode.acc_seg: 95.3170, aux.loss_ce: 0.0573, aux.acc_seg: 95.0746, loss: 0.1895 2023-02-24 15:49:44,196 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 1 day, 13:40:06, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1154, decode.acc_seg: 95.6298, aux.loss_ce: 0.0491, aux.acc_seg: 95.3475, loss: 0.1645 2023-02-24 15:50:33,459 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 1 day, 13:39:13, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1053, decode.acc_seg: 96.0080, aux.loss_ce: 0.0496, aux.acc_seg: 95.4205, loss: 0.1549 2023-02-24 15:51:22,680 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 15:51:22,681 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 1 day, 13:38:20, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1047, decode.acc_seg: 96.0154, aux.loss_ce: 0.0483, aux.acc_seg: 95.4444, loss: 0.1530 2023-02-24 15:52:11,994 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 1 day, 13:37:27, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1045, decode.acc_seg: 96.0423, aux.loss_ce: 0.0477, aux.acc_seg: 95.5478, loss: 0.1522 2023-02-24 15:53:01,303 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 1 day, 13:36:34, time: 0.986, data_time: 0.010, memory: 19374, decode.loss_ce: 0.1045, decode.acc_seg: 95.9723, aux.loss_ce: 0.0476, aux.acc_seg: 95.5159, loss: 0.1520 2023-02-24 15:53:50,313 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 1 day, 13:35:40, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1017, decode.acc_seg: 96.1510, aux.loss_ce: 0.0483, aux.acc_seg: 95.5262, loss: 0.1499 2023-02-24 15:54:42,338 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 1 day, 13:35:03, time: 1.040, data_time: 0.064, memory: 19374, decode.loss_ce: 0.1113, decode.acc_seg: 95.6870, aux.loss_ce: 0.0519, aux.acc_seg: 95.1190, loss: 0.1631 2023-02-24 15:55:31,853 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 1 day, 13:34:11, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0989, decode.acc_seg: 96.2841, aux.loss_ce: 0.0459, aux.acc_seg: 95.7612, loss: 0.1448 2023-02-24 15:56:21,473 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 1 day, 13:33:20, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.1176, decode.acc_seg: 95.5972, aux.loss_ce: 0.0517, aux.acc_seg: 95.3015, loss: 0.1693 2023-02-24 15:57:10,878 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 1 day, 13:32:28, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1161, decode.acc_seg: 95.5290, aux.loss_ce: 0.0525, aux.acc_seg: 95.0796, loss: 0.1686 2023-02-24 15:58:00,301 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 1 day, 13:31:36, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1187, decode.acc_seg: 95.5283, aux.loss_ce: 0.0523, aux.acc_seg: 95.1412, loss: 0.1710 2023-02-24 15:58:49,682 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 1 day, 13:30:44, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1100, decode.acc_seg: 95.7019, aux.loss_ce: 0.0492, aux.acc_seg: 95.3451, loss: 0.1592 2023-02-24 15:59:39,127 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 1 day, 13:29:52, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1078, decode.acc_seg: 95.8957, aux.loss_ce: 0.0487, aux.acc_seg: 95.4624, loss: 0.1565 2023-02-24 16:00:28,583 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 1 day, 13:29:00, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1129, decode.acc_seg: 95.8354, aux.loss_ce: 0.0526, aux.acc_seg: 95.2400, loss: 0.1655 2023-02-24 16:01:20,452 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 1 day, 13:28:22, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1155, decode.acc_seg: 95.6706, aux.loss_ce: 0.0518, aux.acc_seg: 95.0994, loss: 0.1673 2023-02-24 16:02:09,744 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 1 day, 13:27:29, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1179, decode.acc_seg: 95.6907, aux.loss_ce: 0.0543, aux.acc_seg: 95.1112, loss: 0.1723 2023-02-24 16:02:58,968 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 1 day, 13:26:36, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1061, decode.acc_seg: 95.9718, aux.loss_ce: 0.0484, aux.acc_seg: 95.5184, loss: 0.1546 2023-02-24 16:03:48,470 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 1 day, 13:25:45, time: 0.990, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1141, decode.acc_seg: 95.7480, aux.loss_ce: 0.0519, aux.acc_seg: 95.2836, loss: 0.1660 2023-02-24 16:04:38,032 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 1 day, 13:24:53, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1167, decode.acc_seg: 95.5004, aux.loss_ce: 0.0529, aux.acc_seg: 94.9421, loss: 0.1696 2023-02-24 16:05:26,510 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 1 day, 13:23:56, time: 0.970, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1084, decode.acc_seg: 95.8874, aux.loss_ce: 0.0507, aux.acc_seg: 95.2528, loss: 0.1591 2023-02-24 16:06:15,012 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 1 day, 13:22:59, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1107, decode.acc_seg: 95.7773, aux.loss_ce: 0.0507, aux.acc_seg: 95.2564, loss: 0.1615 2023-02-24 16:07:06,057 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 1 day, 13:22:16, time: 1.021, data_time: 0.057, memory: 19374, decode.loss_ce: 0.1003, decode.acc_seg: 96.1431, aux.loss_ce: 0.0478, aux.acc_seg: 95.4982, loss: 0.1481 2023-02-24 16:07:55,068 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:07:55,068 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 1 day, 13:21:22, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1196, decode.acc_seg: 95.6938, aux.loss_ce: 0.0542, aux.acc_seg: 95.2036, loss: 0.1738 2023-02-24 16:08:44,200 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 1 day, 13:20:29, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1045, decode.acc_seg: 96.0431, aux.loss_ce: 0.0494, aux.acc_seg: 95.3997, loss: 0.1538 2023-02-24 16:09:33,627 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 1 day, 13:19:37, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1063, decode.acc_seg: 95.9905, aux.loss_ce: 0.0509, aux.acc_seg: 95.2750, loss: 0.1572 2023-02-24 16:10:22,928 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 1 day, 13:18:44, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1125, decode.acc_seg: 95.7448, aux.loss_ce: 0.0506, aux.acc_seg: 95.2967, loss: 0.1630 2023-02-24 16:11:12,259 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 1 day, 13:17:52, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1048, decode.acc_seg: 96.0339, aux.loss_ce: 0.0480, aux.acc_seg: 95.5818, loss: 0.1527 2023-02-24 16:12:01,703 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 1 day, 13:17:00, time: 0.989, data_time: 0.011, memory: 19374, decode.loss_ce: 0.1017, decode.acc_seg: 96.1182, aux.loss_ce: 0.0480, aux.acc_seg: 95.5045, loss: 0.1497 2023-02-24 16:12:53,332 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 1 day, 13:16:20, time: 1.033, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0990, decode.acc_seg: 96.2152, aux.loss_ce: 0.0469, aux.acc_seg: 95.6125, loss: 0.1459 2023-02-24 16:13:42,537 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 1 day, 13:15:27, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1094, decode.acc_seg: 95.9404, aux.loss_ce: 0.0491, aux.acc_seg: 95.4220, loss: 0.1585 2023-02-24 16:14:31,806 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 1 day, 13:14:34, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1132, decode.acc_seg: 95.7871, aux.loss_ce: 0.0496, aux.acc_seg: 95.4136, loss: 0.1628 2023-02-24 16:15:21,090 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 1 day, 13:13:42, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1041, decode.acc_seg: 96.0895, aux.loss_ce: 0.0498, aux.acc_seg: 95.4117, loss: 0.1539 2023-02-24 16:16:10,335 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 1 day, 13:12:49, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0972, decode.acc_seg: 96.2831, aux.loss_ce: 0.0464, aux.acc_seg: 95.7310, loss: 0.1437 2023-02-24 16:16:59,601 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 1 day, 13:11:57, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1008, decode.acc_seg: 96.1866, aux.loss_ce: 0.0475, aux.acc_seg: 95.5496, loss: 0.1483 2023-02-24 16:17:48,579 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 1 day, 13:11:02, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1154, decode.acc_seg: 95.6604, aux.loss_ce: 0.0527, aux.acc_seg: 95.0747, loss: 0.1681 2023-02-24 16:18:37,698 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 1 day, 13:10:09, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1048, decode.acc_seg: 96.0747, aux.loss_ce: 0.0476, aux.acc_seg: 95.5797, loss: 0.1524 2023-02-24 16:19:30,039 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 1 day, 13:09:33, time: 1.047, data_time: 0.068, memory: 19374, decode.loss_ce: 0.1060, decode.acc_seg: 95.9701, aux.loss_ce: 0.0491, aux.acc_seg: 95.3634, loss: 0.1551 2023-02-24 16:20:19,270 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 1 day, 13:08:40, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1003, decode.acc_seg: 96.1520, aux.loss_ce: 0.0466, aux.acc_seg: 95.5875, loss: 0.1470 2023-02-24 16:21:08,459 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 1 day, 13:07:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1002, decode.acc_seg: 96.1991, aux.loss_ce: 0.0465, aux.acc_seg: 95.6917, loss: 0.1467 2023-02-24 16:21:57,821 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 1 day, 13:06:55, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1017, decode.acc_seg: 96.0871, aux.loss_ce: 0.0474, aux.acc_seg: 95.6004, loss: 0.1491 2023-02-24 16:22:47,023 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 1 day, 13:06:02, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0990, decode.acc_seg: 96.2638, aux.loss_ce: 0.0459, aux.acc_seg: 95.7014, loss: 0.1448 2023-02-24 16:23:35,933 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 1 day, 13:05:07, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0997, decode.acc_seg: 96.2159, aux.loss_ce: 0.0474, aux.acc_seg: 95.5486, loss: 0.1471 2023-02-24 16:24:25,225 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:24:25,225 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 1 day, 13:04:15, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1093, decode.acc_seg: 95.7884, aux.loss_ce: 0.0506, aux.acc_seg: 95.2499, loss: 0.1599 2023-02-24 16:25:16,717 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 1 day, 13:03:34, time: 1.030, data_time: 0.056, memory: 19374, decode.loss_ce: 0.1028, decode.acc_seg: 96.0530, aux.loss_ce: 0.0491, aux.acc_seg: 95.4300, loss: 0.1518 2023-02-24 16:26:05,916 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 1 day, 13:02:41, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1075, decode.acc_seg: 95.8553, aux.loss_ce: 0.0505, aux.acc_seg: 95.1782, loss: 0.1581 2023-02-24 16:26:55,317 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 1 day, 13:01:49, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0995, decode.acc_seg: 96.1613, aux.loss_ce: 0.0477, aux.acc_seg: 95.4562, loss: 0.1472 2023-02-24 16:27:44,484 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 1 day, 13:00:56, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0989, decode.acc_seg: 96.2076, aux.loss_ce: 0.0462, aux.acc_seg: 95.6501, loss: 0.1451 2023-02-24 16:28:33,691 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 1 day, 13:00:03, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1011, decode.acc_seg: 96.1887, aux.loss_ce: 0.0479, aux.acc_seg: 95.5588, loss: 0.1490 2023-02-24 16:29:22,919 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 1 day, 12:59:11, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1013, decode.acc_seg: 96.1402, aux.loss_ce: 0.0483, aux.acc_seg: 95.5301, loss: 0.1496 2023-02-24 16:30:12,176 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 1 day, 12:58:18, time: 0.985, data_time: 0.010, memory: 19374, decode.loss_ce: 0.1004, decode.acc_seg: 96.1595, aux.loss_ce: 0.0470, aux.acc_seg: 95.6018, loss: 0.1474 2023-02-24 16:31:01,225 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 1 day, 12:57:24, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0994, decode.acc_seg: 96.2001, aux.loss_ce: 0.0472, aux.acc_seg: 95.5489, loss: 0.1466 2023-02-24 16:31:53,046 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 1 day, 12:56:45, time: 1.037, data_time: 0.058, memory: 19374, decode.loss_ce: 0.1060, decode.acc_seg: 96.0607, aux.loss_ce: 0.0503, aux.acc_seg: 95.3624, loss: 0.1564 2023-02-24 16:32:42,075 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 1 day, 12:55:51, time: 0.981, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0997, decode.acc_seg: 96.2322, aux.loss_ce: 0.0465, aux.acc_seg: 95.7071, loss: 0.1462 2023-02-24 16:33:31,370 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 1 day, 12:54:59, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0983, decode.acc_seg: 96.2332, aux.loss_ce: 0.0464, aux.acc_seg: 95.6806, loss: 0.1447 2023-02-24 16:34:20,541 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 1 day, 12:54:06, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0994, decode.acc_seg: 96.2171, aux.loss_ce: 0.0483, aux.acc_seg: 95.5623, loss: 0.1477 2023-02-24 16:35:09,656 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 1 day, 12:53:13, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1014, decode.acc_seg: 96.1734, aux.loss_ce: 0.0481, aux.acc_seg: 95.5072, loss: 0.1494 2023-02-24 16:35:58,765 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 1 day, 12:52:20, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1019, decode.acc_seg: 96.1076, aux.loss_ce: 0.0476, aux.acc_seg: 95.5319, loss: 0.1495 2023-02-24 16:36:48,345 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 1 day, 12:51:29, time: 0.992, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1026, decode.acc_seg: 96.1511, aux.loss_ce: 0.0510, aux.acc_seg: 95.3148, loss: 0.1535 2023-02-24 16:37:40,021 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 1 day, 12:50:48, time: 1.034, data_time: 0.059, memory: 19374, decode.loss_ce: 0.1034, decode.acc_seg: 96.1064, aux.loss_ce: 0.0507, aux.acc_seg: 95.3628, loss: 0.1541 2023-02-24 16:38:29,230 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 1 day, 12:49:56, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0971, decode.acc_seg: 96.2736, aux.loss_ce: 0.0455, aux.acc_seg: 95.7584, loss: 0.1427 2023-02-24 16:39:18,360 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 1 day, 12:49:03, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0941, decode.acc_seg: 96.3150, aux.loss_ce: 0.0442, aux.acc_seg: 95.7889, loss: 0.1384 2023-02-24 16:40:07,549 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 1 day, 12:48:10, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0988, decode.acc_seg: 96.2304, aux.loss_ce: 0.0480, aux.acc_seg: 95.4526, loss: 0.1468 2023-02-24 16:40:56,802 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:40:56,802 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 1 day, 12:47:17, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1034, decode.acc_seg: 96.0198, aux.loss_ce: 0.0501, aux.acc_seg: 95.2729, loss: 0.1535 2023-02-24 16:41:46,117 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 1 day, 12:46:25, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0993, decode.acc_seg: 96.2094, aux.loss_ce: 0.0476, aux.acc_seg: 95.5920, loss: 0.1469 2023-02-24 16:42:35,068 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 1 day, 12:45:31, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0995, decode.acc_seg: 96.1280, aux.loss_ce: 0.0483, aux.acc_seg: 95.3189, loss: 0.1477 2023-02-24 16:43:24,310 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 1 day, 12:44:39, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1144, decode.acc_seg: 95.8394, aux.loss_ce: 0.0528, aux.acc_seg: 95.1472, loss: 0.1673 2023-02-24 16:44:16,020 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 1 day, 12:43:59, time: 1.034, data_time: 0.054, memory: 19374, decode.loss_ce: 0.1025, decode.acc_seg: 96.0774, aux.loss_ce: 0.0485, aux.acc_seg: 95.4259, loss: 0.1510 2023-02-24 16:45:05,357 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 1 day, 12:43:07, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0909, decode.acc_seg: 96.4836, aux.loss_ce: 0.0433, aux.acc_seg: 95.8819, loss: 0.1342 2023-02-24 16:45:54,694 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 1 day, 12:42:15, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1000, decode.acc_seg: 96.1463, aux.loss_ce: 0.0479, aux.acc_seg: 95.4938, loss: 0.1479 2023-02-24 16:46:43,892 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 1 day, 12:41:22, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0926, decode.acc_seg: 96.4950, aux.loss_ce: 0.0453, aux.acc_seg: 95.8386, loss: 0.1378 2023-02-24 16:47:33,251 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 1 day, 12:40:30, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0987, decode.acc_seg: 96.2399, aux.loss_ce: 0.0484, aux.acc_seg: 95.5268, loss: 0.1471 2023-02-24 16:48:23,070 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 1 day, 12:39:41, time: 0.997, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0921, decode.acc_seg: 96.4461, aux.loss_ce: 0.0440, aux.acc_seg: 95.8687, loss: 0.1361 2023-02-24 16:49:12,994 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 1 day, 12:38:51, time: 0.999, data_time: 0.024, memory: 19374, decode.loss_ce: 0.1044, decode.acc_seg: 96.0897, aux.loss_ce: 0.0500, aux.acc_seg: 95.3290, loss: 0.1545 2023-02-24 16:50:04,775 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 1 day, 12:38:11, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0991, decode.acc_seg: 96.1972, aux.loss_ce: 0.0471, aux.acc_seg: 95.6637, loss: 0.1462 2023-02-24 16:50:53,789 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 1 day, 12:37:18, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1046, decode.acc_seg: 96.1176, aux.loss_ce: 0.0480, aux.acc_seg: 95.5728, loss: 0.1527 2023-02-24 16:51:43,307 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 1 day, 12:36:27, time: 0.990, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0930, decode.acc_seg: 96.4517, aux.loss_ce: 0.0442, aux.acc_seg: 95.8432, loss: 0.1372 2023-02-24 16:52:32,555 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 1 day, 12:35:34, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1010, decode.acc_seg: 96.2082, aux.loss_ce: 0.0480, aux.acc_seg: 95.5788, loss: 0.1490 2023-02-24 16:53:21,900 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 1 day, 12:34:42, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0901, decode.acc_seg: 96.4748, aux.loss_ce: 0.0440, aux.acc_seg: 95.8336, loss: 0.1341 2023-02-24 16:54:11,073 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 1 day, 12:33:50, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0965, decode.acc_seg: 96.3343, aux.loss_ce: 0.0463, aux.acc_seg: 95.6829, loss: 0.1428 2023-02-24 16:55:00,218 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 1 day, 12:32:57, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0911, decode.acc_seg: 96.4723, aux.loss_ce: 0.0441, aux.acc_seg: 95.8400, loss: 0.1352 2023-02-24 16:55:49,429 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 1 day, 12:32:04, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0948, decode.acc_seg: 96.3902, aux.loss_ce: 0.0465, aux.acc_seg: 95.6783, loss: 0.1413 2023-02-24 16:56:40,864 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 1 day, 12:31:22, time: 1.029, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0933, decode.acc_seg: 96.4221, aux.loss_ce: 0.0478, aux.acc_seg: 95.5687, loss: 0.1412 2023-02-24 16:57:30,132 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 16:57:30,132 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 1 day, 12:30:30, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1005, decode.acc_seg: 96.2472, aux.loss_ce: 0.0467, aux.acc_seg: 95.7020, loss: 0.1471 2023-02-24 16:58:19,497 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 1 day, 12:29:38, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0950, decode.acc_seg: 96.3024, aux.loss_ce: 0.0459, aux.acc_seg: 95.6586, loss: 0.1410 2023-02-24 16:59:08,961 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 1 day, 12:28:47, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1059, decode.acc_seg: 95.9571, aux.loss_ce: 0.0509, aux.acc_seg: 95.2611, loss: 0.1567 2023-02-24 16:59:58,503 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 1 day, 12:27:56, time: 0.991, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0945, decode.acc_seg: 96.4119, aux.loss_ce: 0.0454, aux.acc_seg: 95.7858, loss: 0.1400 2023-02-24 17:00:47,859 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 1 day, 12:27:04, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0966, decode.acc_seg: 96.3493, aux.loss_ce: 0.0476, aux.acc_seg: 95.5429, loss: 0.1442 2023-02-24 17:01:37,094 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 1 day, 12:26:12, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0976, decode.acc_seg: 96.2168, aux.loss_ce: 0.0469, aux.acc_seg: 95.5084, loss: 0.1445 2023-02-24 17:02:28,675 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 1 day, 12:25:31, time: 1.032, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0988, decode.acc_seg: 96.2275, aux.loss_ce: 0.0461, aux.acc_seg: 95.6971, loss: 0.1449 2023-02-24 17:03:17,870 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 1 day, 12:24:38, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0960, decode.acc_seg: 96.3176, aux.loss_ce: 0.0450, aux.acc_seg: 95.7597, loss: 0.1410 2023-02-24 17:04:07,162 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 1 day, 12:23:46, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0956, decode.acc_seg: 96.4008, aux.loss_ce: 0.0470, aux.acc_seg: 95.6708, loss: 0.1426 2023-02-24 17:04:56,391 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 1 day, 12:22:54, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1005, decode.acc_seg: 96.2091, aux.loss_ce: 0.0472, aux.acc_seg: 95.6327, loss: 0.1477 2023-02-24 17:05:45,784 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 1 day, 12:22:02, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0979, decode.acc_seg: 96.2907, aux.loss_ce: 0.0465, aux.acc_seg: 95.6185, loss: 0.1444 2023-02-24 17:06:35,080 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 1 day, 12:21:10, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1065, decode.acc_seg: 95.9798, aux.loss_ce: 0.0504, aux.acc_seg: 95.3077, loss: 0.1568 2023-02-24 17:07:24,405 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 1 day, 12:20:18, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1065, decode.acc_seg: 95.9580, aux.loss_ce: 0.0495, aux.acc_seg: 95.2730, loss: 0.1561 2023-02-24 17:08:16,502 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 1 day, 12:19:39, time: 1.042, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0927, decode.acc_seg: 96.4595, aux.loss_ce: 0.0449, aux.acc_seg: 95.7680, loss: 0.1376 2023-02-24 17:09:05,765 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 1 day, 12:18:47, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1003, decode.acc_seg: 96.2164, aux.loss_ce: 0.0479, aux.acc_seg: 95.5244, loss: 0.1482 2023-02-24 17:09:55,121 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 1 day, 12:17:55, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1053, decode.acc_seg: 96.0061, aux.loss_ce: 0.0490, aux.acc_seg: 95.3637, loss: 0.1543 2023-02-24 17:10:44,501 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 1 day, 12:17:04, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0987, decode.acc_seg: 96.2307, aux.loss_ce: 0.0470, aux.acc_seg: 95.5925, loss: 0.1457 2023-02-24 17:11:33,732 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 1 day, 12:16:11, time: 0.985, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0968, decode.acc_seg: 96.3164, aux.loss_ce: 0.0482, aux.acc_seg: 95.5119, loss: 0.1450 2023-02-24 17:12:22,989 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 1 day, 12:15:19, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0964, decode.acc_seg: 96.2758, aux.loss_ce: 0.0482, aux.acc_seg: 95.4756, loss: 0.1447 2023-02-24 17:13:11,984 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 1 day, 12:14:26, time: 0.980, data_time: 0.006, memory: 19374, decode.loss_ce: 0.1105, decode.acc_seg: 95.7324, aux.loss_ce: 0.0523, aux.acc_seg: 95.1639, loss: 0.1628 2023-02-24 17:14:01,047 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:14:01,047 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 1 day, 12:13:33, time: 0.981, data_time: 0.006, memory: 19374, decode.loss_ce: 0.1049, decode.acc_seg: 95.9935, aux.loss_ce: 0.0502, aux.acc_seg: 95.3134, loss: 0.1551 2023-02-24 17:14:53,344 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 1 day, 12:12:54, time: 1.046, data_time: 0.068, memory: 19374, decode.loss_ce: 0.1068, decode.acc_seg: 95.9688, aux.loss_ce: 0.0504, aux.acc_seg: 95.3836, loss: 0.1572 2023-02-24 17:15:42,791 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 1 day, 12:12:03, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0973, decode.acc_seg: 96.2972, aux.loss_ce: 0.0473, aux.acc_seg: 95.5968, loss: 0.1445 2023-02-24 17:16:32,082 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 1 day, 12:11:11, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0938, decode.acc_seg: 96.4282, aux.loss_ce: 0.0459, aux.acc_seg: 95.6840, loss: 0.1396 2023-02-24 17:17:21,240 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 1 day, 12:10:19, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1032, decode.acc_seg: 96.0344, aux.loss_ce: 0.0506, aux.acc_seg: 95.3427, loss: 0.1538 2023-02-24 17:18:10,345 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 1 day, 12:09:26, time: 0.982, data_time: 0.006, memory: 19374, decode.loss_ce: 0.1214, decode.acc_seg: 95.6657, aux.loss_ce: 0.0539, aux.acc_seg: 95.0479, loss: 0.1753 2023-02-24 17:18:59,632 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 1 day, 12:08:34, time: 0.986, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0967, decode.acc_seg: 96.3526, aux.loss_ce: 0.0453, aux.acc_seg: 95.7881, loss: 0.1420 2023-02-24 17:19:49,250 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 1 day, 12:07:43, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.1027, decode.acc_seg: 96.1559, aux.loss_ce: 0.0477, aux.acc_seg: 95.6086, loss: 0.1504 2023-02-24 17:20:41,043 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 1 day, 12:07:03, time: 1.036, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0920, decode.acc_seg: 96.5251, aux.loss_ce: 0.0455, aux.acc_seg: 95.7669, loss: 0.1375 2023-02-24 17:21:30,308 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 1 day, 12:06:11, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0963, decode.acc_seg: 96.3368, aux.loss_ce: 0.0467, aux.acc_seg: 95.5640, loss: 0.1430 2023-02-24 17:22:19,624 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 1 day, 12:05:19, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0969, decode.acc_seg: 96.2729, aux.loss_ce: 0.0482, aux.acc_seg: 95.5374, loss: 0.1451 2023-02-24 17:23:09,209 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 1 day, 12:04:28, time: 0.992, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0969, decode.acc_seg: 96.2950, aux.loss_ce: 0.0466, aux.acc_seg: 95.6336, loss: 0.1435 2023-02-24 17:23:58,605 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 1 day, 12:03:37, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0955, decode.acc_seg: 96.3712, aux.loss_ce: 0.0464, aux.acc_seg: 95.6572, loss: 0.1419 2023-02-24 17:24:47,972 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 1 day, 12:02:45, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0902, decode.acc_seg: 96.5056, aux.loss_ce: 0.0443, aux.acc_seg: 95.7874, loss: 0.1345 2023-02-24 17:25:37,259 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 1 day, 12:01:53, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0971, decode.acc_seg: 96.2840, aux.loss_ce: 0.0476, aux.acc_seg: 95.5347, loss: 0.1447 2023-02-24 17:26:26,288 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 1 day, 12:01:00, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0873, decode.acc_seg: 96.6540, aux.loss_ce: 0.0433, aux.acc_seg: 95.9261, loss: 0.1306 2023-02-24 17:27:17,893 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 1 day, 12:00:18, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0980, decode.acc_seg: 96.3028, aux.loss_ce: 0.0467, aux.acc_seg: 95.6455, loss: 0.1448 2023-02-24 17:28:07,217 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 1 day, 11:59:27, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0908, decode.acc_seg: 96.4896, aux.loss_ce: 0.0443, aux.acc_seg: 95.8282, loss: 0.1352 2023-02-24 17:28:56,325 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 1 day, 11:58:34, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1019, decode.acc_seg: 96.1456, aux.loss_ce: 0.0486, aux.acc_seg: 95.4925, loss: 0.1504 2023-02-24 17:29:45,720 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 1 day, 11:57:42, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1023, decode.acc_seg: 96.0965, aux.loss_ce: 0.0474, aux.acc_seg: 95.5491, loss: 0.1497 2023-02-24 17:30:35,054 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:30:35,055 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 1 day, 11:56:51, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0868, decode.acc_seg: 96.7101, aux.loss_ce: 0.0426, aux.acc_seg: 96.0442, loss: 0.1293 2023-02-24 17:31:24,099 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 1 day, 11:55:58, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0884, decode.acc_seg: 96.5605, aux.loss_ce: 0.0433, aux.acc_seg: 95.8789, loss: 0.1317 2023-02-24 17:32:13,331 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 1 day, 11:55:06, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0931, decode.acc_seg: 96.4503, aux.loss_ce: 0.0464, aux.acc_seg: 95.6198, loss: 0.1395 2023-02-24 17:33:04,915 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 1 day, 11:54:24, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0967, decode.acc_seg: 96.3208, aux.loss_ce: 0.0480, aux.acc_seg: 95.5745, loss: 0.1448 2023-02-24 17:33:54,403 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 1 day, 11:53:33, time: 0.990, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0903, decode.acc_seg: 96.5437, aux.loss_ce: 0.0438, aux.acc_seg: 95.8942, loss: 0.1341 2023-02-24 17:34:43,592 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 1 day, 11:52:40, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0935, decode.acc_seg: 96.3527, aux.loss_ce: 0.0462, aux.acc_seg: 95.5969, loss: 0.1397 2023-02-24 17:35:32,662 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 1 day, 11:51:48, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0932, decode.acc_seg: 96.4257, aux.loss_ce: 0.0455, aux.acc_seg: 95.7855, loss: 0.1387 2023-02-24 17:36:22,085 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 1 day, 11:50:56, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0991, decode.acc_seg: 96.3938, aux.loss_ce: 0.0471, aux.acc_seg: 95.7507, loss: 0.1462 2023-02-24 17:37:11,287 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 1 day, 11:50:04, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0908, decode.acc_seg: 96.5628, aux.loss_ce: 0.0460, aux.acc_seg: 95.6876, loss: 0.1367 2023-02-24 17:38:00,338 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 1 day, 11:49:11, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0874, decode.acc_seg: 96.6523, aux.loss_ce: 0.0459, aux.acc_seg: 95.6341, loss: 0.1332 2023-02-24 17:38:48,987 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 1 day, 11:48:17, time: 0.973, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0991, decode.acc_seg: 96.2176, aux.loss_ce: 0.0484, aux.acc_seg: 95.4197, loss: 0.1475 2023-02-24 17:39:40,459 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 1 day, 11:47:34, time: 1.030, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0891, decode.acc_seg: 96.6274, aux.loss_ce: 0.0438, aux.acc_seg: 95.9400, loss: 0.1329 2023-02-24 17:40:29,651 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 1 day, 11:46:42, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0857, decode.acc_seg: 96.6567, aux.loss_ce: 0.0418, aux.acc_seg: 95.9921, loss: 0.1275 2023-02-24 17:41:18,929 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 1 day, 11:45:50, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0933, decode.acc_seg: 96.3982, aux.loss_ce: 0.0461, aux.acc_seg: 95.6573, loss: 0.1394 2023-02-24 17:42:08,234 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 1 day, 11:44:59, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1017, decode.acc_seg: 96.1674, aux.loss_ce: 0.0504, aux.acc_seg: 95.3652, loss: 0.1521 2023-02-24 17:42:57,578 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 1 day, 11:44:07, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0971, decode.acc_seg: 96.2642, aux.loss_ce: 0.0473, aux.acc_seg: 95.5935, loss: 0.1444 2023-02-24 17:43:46,891 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 1 day, 11:43:15, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0896, decode.acc_seg: 96.6033, aux.loss_ce: 0.0446, aux.acc_seg: 95.8129, loss: 0.1342 2023-02-24 17:44:36,202 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 1 day, 11:42:24, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0974, decode.acc_seg: 96.3583, aux.loss_ce: 0.0478, aux.acc_seg: 95.5873, loss: 0.1452 2023-02-24 17:45:27,847 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 1 day, 11:41:42, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0912, decode.acc_seg: 96.4762, aux.loss_ce: 0.0451, aux.acc_seg: 95.7402, loss: 0.1363 2023-02-24 17:46:17,119 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 1 day, 11:40:50, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0891, decode.acc_seg: 96.5619, aux.loss_ce: 0.0454, aux.acc_seg: 95.7600, loss: 0.1345 2023-02-24 17:47:06,490 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 17:47:06,490 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 1 day, 11:39:58, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0942, decode.acc_seg: 96.4132, aux.loss_ce: 0.0463, aux.acc_seg: 95.6642, loss: 0.1405 2023-02-24 17:47:55,747 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 1 day, 11:39:07, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0896, decode.acc_seg: 96.5639, aux.loss_ce: 0.0446, aux.acc_seg: 95.8066, loss: 0.1342 2023-02-24 17:48:44,826 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 1 day, 11:38:14, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0911, decode.acc_seg: 96.4434, aux.loss_ce: 0.0444, aux.acc_seg: 95.7859, loss: 0.1355 2023-02-24 17:49:34,829 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 1 day, 11:37:25, time: 1.000, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0924, decode.acc_seg: 96.5064, aux.loss_ce: 0.0465, aux.acc_seg: 95.7041, loss: 0.1389 2023-02-24 17:50:24,830 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 1 day, 11:36:36, time: 1.000, data_time: 0.024, memory: 19374, decode.loss_ce: 0.0988, decode.acc_seg: 96.2521, aux.loss_ce: 0.0496, aux.acc_seg: 95.3316, loss: 0.1484 2023-02-24 17:51:16,383 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 1 day, 11:35:54, time: 1.031, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0914, decode.acc_seg: 96.5401, aux.loss_ce: 0.0439, aux.acc_seg: 95.9018, loss: 0.1352 2023-02-24 17:52:05,748 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 1 day, 11:35:03, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0930, decode.acc_seg: 96.4161, aux.loss_ce: 0.0472, aux.acc_seg: 95.5172, loss: 0.1402 2023-02-24 17:52:54,870 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 1 day, 11:34:10, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0882, decode.acc_seg: 96.5782, aux.loss_ce: 0.0445, aux.acc_seg: 95.7584, loss: 0.1327 2023-02-24 17:53:43,965 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 1 day, 11:33:18, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0870, decode.acc_seg: 96.6734, aux.loss_ce: 0.0442, aux.acc_seg: 95.8635, loss: 0.1312 2023-02-24 17:54:33,288 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 1 day, 11:32:26, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0948, decode.acc_seg: 96.3330, aux.loss_ce: 0.0458, aux.acc_seg: 95.6676, loss: 0.1406 2023-02-24 17:55:22,467 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 1 day, 11:31:34, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1027, decode.acc_seg: 96.0677, aux.loss_ce: 0.0502, aux.acc_seg: 95.3582, loss: 0.1529 2023-02-24 17:56:11,788 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 1 day, 11:30:42, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0922, decode.acc_seg: 96.4406, aux.loss_ce: 0.0451, aux.acc_seg: 95.7163, loss: 0.1373 2023-02-24 17:57:01,219 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 1 day, 11:29:51, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1036, decode.acc_seg: 96.1115, aux.loss_ce: 0.0486, aux.acc_seg: 95.5408, loss: 0.1521 2023-02-24 17:57:52,984 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 1 day, 11:29:10, time: 1.035, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0906, decode.acc_seg: 96.5556, aux.loss_ce: 0.0445, aux.acc_seg: 95.7860, loss: 0.1350 2023-02-24 17:58:42,132 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 1 day, 11:28:17, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0970, decode.acc_seg: 96.3560, aux.loss_ce: 0.0453, aux.acc_seg: 95.7200, loss: 0.1423 2023-02-24 17:59:31,359 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 1 day, 11:27:25, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0898, decode.acc_seg: 96.5486, aux.loss_ce: 0.0457, aux.acc_seg: 95.7431, loss: 0.1355 2023-02-24 18:00:20,599 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 1 day, 11:26:33, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1029, decode.acc_seg: 96.1284, aux.loss_ce: 0.0490, aux.acc_seg: 95.3870, loss: 0.1519 2023-02-24 18:01:09,856 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 1 day, 11:25:42, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0841, decode.acc_seg: 96.7688, aux.loss_ce: 0.0405, aux.acc_seg: 96.1909, loss: 0.1246 2023-02-24 18:01:59,103 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 1 day, 11:24:50, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0891, decode.acc_seg: 96.5597, aux.loss_ce: 0.0436, aux.acc_seg: 95.9044, loss: 0.1327 2023-02-24 18:02:48,652 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 1 day, 11:23:59, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0949, decode.acc_seg: 96.3666, aux.loss_ce: 0.0463, aux.acc_seg: 95.5514, loss: 0.1412 2023-02-24 18:03:40,374 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-02-24 18:03:47,220 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:03:47,222 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 1 day, 11:23:45, time: 1.171, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0940, decode.acc_seg: 96.4370, aux.loss_ce: 0.0474, aux.acc_seg: 95.5245, loss: 0.1414 2023-02-24 18:05:16,993 - mmseg - INFO - per class results: 2023-02-24 18:05:17,001 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.5 | 99.3 | | sidewalk | 87.24 | 93.74 | | building | 92.44 | 98.22 | | wall | 59.69 | 74.06 | | fence | 66.91 | 75.89 | | pole | 66.71 | 72.99 | | traffic light | 73.08 | 83.7 | | traffic sign | 82.28 | 86.91 | | vegetation | 92.34 | 95.0 | | terrain | 64.25 | 71.52 | | sky | 95.1 | 97.59 | | person | 84.69 | 91.84 | | rider | 66.74 | 79.72 | | car | 94.6 | 97.38 | | truck | 57.82 | 58.58 | | bus | 90.06 | 91.07 | | train | 87.77 | 91.06 | | motorcycle | 72.04 | 77.98 | | bicycle | 79.6 | 86.9 | +---------------+-------+-------+ 2023-02-24 18:05:17,001 - mmseg - INFO - Summary: 2023-02-24 18:05:17,002 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.32 | 79.57 | 85.45 | +-------+-------+-------+ 2023-02-24 18:05:17,022 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_16000.pth was removed 2023-02-24 18:05:23,921 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-02-24 18:05:23,925 - mmseg - INFO - Best mIoU is 0.7957 at 32000 iter. 2023-02-24 18:05:23,925 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:05:23,925 - mmseg - INFO - Iter(val) [125] aAcc: 0.9632, mIoU: 0.7957, mAcc: 0.8545, IoU.road: 0.9850, IoU.sidewalk: 0.8724, IoU.building: 0.9244, IoU.wall: 0.5969, IoU.fence: 0.6691, IoU.pole: 0.6671, IoU.traffic light: 0.7308, IoU.traffic sign: 0.8228, IoU.vegetation: 0.9234, IoU.terrain: 0.6425, IoU.sky: 0.9510, IoU.person: 0.8469, IoU.rider: 0.6674, IoU.car: 0.9460, IoU.truck: 0.5782, IoU.bus: 0.9006, IoU.train: 0.8777, IoU.motorcycle: 0.7204, IoU.bicycle: 0.7960, Acc.road: 0.9930, Acc.sidewalk: 0.9374, Acc.building: 0.9822, Acc.wall: 0.7406, Acc.fence: 0.7589, Acc.pole: 0.7299, Acc.traffic light: 0.8370, Acc.traffic sign: 0.8691, Acc.vegetation: 0.9500, Acc.terrain: 0.7152, Acc.sky: 0.9759, Acc.person: 0.9184, Acc.rider: 0.7972, Acc.car: 0.9738, Acc.truck: 0.5858, Acc.bus: 0.9107, Acc.train: 0.9106, Acc.motorcycle: 0.7798, Acc.bicycle: 0.8690 2023-02-24 18:06:13,552 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 1 day, 11:29:20, time: 2.926, data_time: 1.942, memory: 19374, decode.loss_ce: 0.0909, decode.acc_seg: 96.4915, aux.loss_ce: 0.0454, aux.acc_seg: 95.7803, loss: 0.1363 2023-02-24 18:07:02,587 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 1 day, 11:28:27, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0866, decode.acc_seg: 96.7045, aux.loss_ce: 0.0453, aux.acc_seg: 95.7807, loss: 0.1319 2023-02-24 18:07:51,923 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 1 day, 11:27:35, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0886, decode.acc_seg: 96.5588, aux.loss_ce: 0.0453, aux.acc_seg: 95.6863, loss: 0.1339 2023-02-24 18:08:41,365 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 1 day, 11:26:43, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0948, decode.acc_seg: 96.3738, aux.loss_ce: 0.0458, aux.acc_seg: 95.6511, loss: 0.1406 2023-02-24 18:09:30,736 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 1 day, 11:25:51, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0894, decode.acc_seg: 96.5850, aux.loss_ce: 0.0437, aux.acc_seg: 95.8535, loss: 0.1331 2023-02-24 18:10:20,108 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 1 day, 11:24:59, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0925, decode.acc_seg: 96.4792, aux.loss_ce: 0.0480, aux.acc_seg: 95.4501, loss: 0.1405 2023-02-24 18:11:09,422 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 1 day, 11:24:06, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0860, decode.acc_seg: 96.6860, aux.loss_ce: 0.0444, aux.acc_seg: 95.8227, loss: 0.1304 2023-02-24 18:12:01,772 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 1 day, 11:23:26, time: 1.047, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0904, decode.acc_seg: 96.5602, aux.loss_ce: 0.0435, aux.acc_seg: 95.8898, loss: 0.1339 2023-02-24 18:12:51,148 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 1 day, 11:22:34, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0865, decode.acc_seg: 96.6544, aux.loss_ce: 0.0439, aux.acc_seg: 95.8405, loss: 0.1304 2023-02-24 18:13:40,433 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 1 day, 11:21:41, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0935, decode.acc_seg: 96.5304, aux.loss_ce: 0.0464, aux.acc_seg: 95.7596, loss: 0.1399 2023-02-24 18:14:30,078 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 1 day, 11:20:50, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0906, decode.acc_seg: 96.5425, aux.loss_ce: 0.0442, aux.acc_seg: 95.8853, loss: 0.1348 2023-02-24 18:15:19,236 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 1 day, 11:19:57, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0880, decode.acc_seg: 96.5844, aux.loss_ce: 0.0459, aux.acc_seg: 95.6521, loss: 0.1338 2023-02-24 18:16:08,521 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 1 day, 11:19:05, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0831, decode.acc_seg: 96.8114, aux.loss_ce: 0.0432, aux.acc_seg: 95.8903, loss: 0.1263 2023-02-24 18:16:57,862 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 1 day, 11:18:13, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0831, decode.acc_seg: 96.7488, aux.loss_ce: 0.0414, aux.acc_seg: 96.0322, loss: 0.1245 2023-02-24 18:17:50,260 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 1 day, 11:17:33, time: 1.048, data_time: 0.070, memory: 19374, decode.loss_ce: 0.0910, decode.acc_seg: 96.4733, aux.loss_ce: 0.0444, aux.acc_seg: 95.8082, loss: 0.1354 2023-02-24 18:18:39,546 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 1 day, 11:16:40, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0879, decode.acc_seg: 96.6166, aux.loss_ce: 0.0439, aux.acc_seg: 95.8409, loss: 0.1318 2023-02-24 18:19:28,750 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 1 day, 11:15:47, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0872, decode.acc_seg: 96.7395, aux.loss_ce: 0.0428, aux.acc_seg: 96.0167, loss: 0.1300 2023-02-24 18:20:17,965 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 1 day, 11:14:55, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0919, decode.acc_seg: 96.5434, aux.loss_ce: 0.0462, aux.acc_seg: 95.5665, loss: 0.1381 2023-02-24 18:21:07,631 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 1 day, 11:14:04, time: 0.994, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0916, decode.acc_seg: 96.4746, aux.loss_ce: 0.0460, aux.acc_seg: 95.6746, loss: 0.1376 2023-02-24 18:21:57,123 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:21:57,124 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 1 day, 11:13:12, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0888, decode.acc_seg: 96.5549, aux.loss_ce: 0.0455, aux.acc_seg: 95.6053, loss: 0.1344 2023-02-24 18:22:46,098 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 1 day, 11:12:19, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0900, decode.acc_seg: 96.4881, aux.loss_ce: 0.0454, aux.acc_seg: 95.6802, loss: 0.1354 2023-02-24 18:23:35,415 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 1 day, 11:11:26, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1078, decode.acc_seg: 96.1317, aux.loss_ce: 0.0517, aux.acc_seg: 95.2658, loss: 0.1595 2023-02-24 18:24:27,842 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 1 day, 11:10:46, time: 1.049, data_time: 0.072, memory: 19374, decode.loss_ce: 0.1084, decode.acc_seg: 95.9107, aux.loss_ce: 0.0489, aux.acc_seg: 95.3979, loss: 0.1573 2023-02-24 18:25:17,153 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 1 day, 11:09:54, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0899, decode.acc_seg: 96.5414, aux.loss_ce: 0.0441, aux.acc_seg: 95.8149, loss: 0.1341 2023-02-24 18:26:06,189 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 1 day, 11:09:01, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0953, decode.acc_seg: 96.3500, aux.loss_ce: 0.0473, aux.acc_seg: 95.5568, loss: 0.1426 2023-02-24 18:26:55,442 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 1 day, 11:08:08, time: 0.985, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0902, decode.acc_seg: 96.5979, aux.loss_ce: 0.0462, aux.acc_seg: 95.6905, loss: 0.1364 2023-02-24 18:27:44,778 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 1 day, 11:07:16, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0874, decode.acc_seg: 96.6272, aux.loss_ce: 0.0433, aux.acc_seg: 95.8930, loss: 0.1307 2023-02-24 18:28:34,029 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 1 day, 11:06:24, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0983, decode.acc_seg: 96.3767, aux.loss_ce: 0.0465, aux.acc_seg: 95.7396, loss: 0.1448 2023-02-24 18:29:23,311 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 1 day, 11:05:31, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0889, decode.acc_seg: 96.6225, aux.loss_ce: 0.0448, aux.acc_seg: 95.8077, loss: 0.1337 2023-02-24 18:30:14,906 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 1 day, 11:04:48, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0892, decode.acc_seg: 96.5766, aux.loss_ce: 0.0456, aux.acc_seg: 95.6852, loss: 0.1349 2023-02-24 18:31:04,165 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 1 day, 11:03:55, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0973, decode.acc_seg: 96.2896, aux.loss_ce: 0.0488, aux.acc_seg: 95.4000, loss: 0.1461 2023-02-24 18:31:53,717 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 1 day, 11:03:04, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0858, decode.acc_seg: 96.7299, aux.loss_ce: 0.0440, aux.acc_seg: 95.8417, loss: 0.1299 2023-02-24 18:32:42,780 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 1 day, 11:02:11, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0998, decode.acc_seg: 96.3763, aux.loss_ce: 0.0462, aux.acc_seg: 95.7963, loss: 0.1460 2023-02-24 18:33:31,963 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 1 day, 11:01:18, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1051, decode.acc_seg: 96.0916, aux.loss_ce: 0.0486, aux.acc_seg: 95.5269, loss: 0.1537 2023-02-24 18:34:21,294 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 1 day, 11:00:26, time: 0.987, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0944, decode.acc_seg: 96.4401, aux.loss_ce: 0.0461, aux.acc_seg: 95.7289, loss: 0.1405 2023-02-24 18:35:11,303 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 1 day, 10:59:37, time: 1.000, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0937, decode.acc_seg: 96.3839, aux.loss_ce: 0.0460, aux.acc_seg: 95.6422, loss: 0.1396 2023-02-24 18:36:01,237 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 1 day, 10:58:47, time: 0.999, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0934, decode.acc_seg: 96.4541, aux.loss_ce: 0.0478, aux.acc_seg: 95.4578, loss: 0.1412 2023-02-24 18:36:53,324 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 1 day, 10:58:05, time: 1.042, data_time: 0.066, memory: 19374, decode.loss_ce: 0.0828, decode.acc_seg: 96.7940, aux.loss_ce: 0.0421, aux.acc_seg: 96.0242, loss: 0.1248 2023-02-24 18:37:42,783 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 1 day, 10:57:13, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0911, decode.acc_seg: 96.4823, aux.loss_ce: 0.0469, aux.acc_seg: 95.6013, loss: 0.1380 2023-02-24 18:38:32,214 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:38:32,214 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 1 day, 10:56:22, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0878, decode.acc_seg: 96.6007, aux.loss_ce: 0.0433, aux.acc_seg: 95.8415, loss: 0.1311 2023-02-24 18:39:21,551 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 1 day, 10:55:30, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0801, decode.acc_seg: 96.8486, aux.loss_ce: 0.0421, aux.acc_seg: 95.9512, loss: 0.1223 2023-02-24 18:40:11,075 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 1 day, 10:54:38, time: 0.990, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0819, decode.acc_seg: 96.8338, aux.loss_ce: 0.0412, aux.acc_seg: 96.1150, loss: 0.1231 2023-02-24 18:41:00,385 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 1 day, 10:53:46, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0880, decode.acc_seg: 96.6226, aux.loss_ce: 0.0452, aux.acc_seg: 95.7426, loss: 0.1331 2023-02-24 18:41:49,659 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 1 day, 10:52:54, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0908, decode.acc_seg: 96.4866, aux.loss_ce: 0.0439, aux.acc_seg: 95.8317, loss: 0.1347 2023-02-24 18:42:41,312 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 1 day, 10:52:10, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0844, decode.acc_seg: 96.6769, aux.loss_ce: 0.0440, aux.acc_seg: 95.8638, loss: 0.1284 2023-02-24 18:43:31,276 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 1 day, 10:51:21, time: 0.999, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0865, decode.acc_seg: 96.6408, aux.loss_ce: 0.0430, aux.acc_seg: 95.8580, loss: 0.1296 2023-02-24 18:44:20,508 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 1 day, 10:50:28, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0871, decode.acc_seg: 96.6481, aux.loss_ce: 0.0439, aux.acc_seg: 95.8214, loss: 0.1309 2023-02-24 18:45:09,666 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 1 day, 10:49:36, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0851, decode.acc_seg: 96.7195, aux.loss_ce: 0.0437, aux.acc_seg: 95.8977, loss: 0.1288 2023-02-24 18:45:58,851 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 1 day, 10:48:43, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0837, decode.acc_seg: 96.7622, aux.loss_ce: 0.0434, aux.acc_seg: 95.9237, loss: 0.1271 2023-02-24 18:46:47,966 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 1 day, 10:47:50, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0863, decode.acc_seg: 96.6849, aux.loss_ce: 0.0450, aux.acc_seg: 95.7993, loss: 0.1314 2023-02-24 18:47:37,216 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 1 day, 10:46:58, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0870, decode.acc_seg: 96.6557, aux.loss_ce: 0.0431, aux.acc_seg: 95.9389, loss: 0.1301 2023-02-24 18:48:29,039 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 1 day, 10:46:15, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0918, decode.acc_seg: 96.5273, aux.loss_ce: 0.0468, aux.acc_seg: 95.6105, loss: 0.1386 2023-02-24 18:49:18,163 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 1 day, 10:45:22, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0859, decode.acc_seg: 96.7174, aux.loss_ce: 0.0451, aux.acc_seg: 95.7954, loss: 0.1309 2023-02-24 18:50:07,445 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 1 day, 10:44:30, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0831, decode.acc_seg: 96.8268, aux.loss_ce: 0.0415, aux.acc_seg: 96.0846, loss: 0.1246 2023-02-24 18:50:56,688 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 1 day, 10:43:38, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0855, decode.acc_seg: 96.6282, aux.loss_ce: 0.0453, aux.acc_seg: 95.6802, loss: 0.1308 2023-02-24 18:51:46,421 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 1 day, 10:42:47, time: 0.994, data_time: 0.019, memory: 19374, decode.loss_ce: 0.1015, decode.acc_seg: 96.1789, aux.loss_ce: 0.0496, aux.acc_seg: 95.4524, loss: 0.1511 2023-02-24 18:52:35,496 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 1 day, 10:41:54, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0941, decode.acc_seg: 96.3446, aux.loss_ce: 0.0467, aux.acc_seg: 95.4959, loss: 0.1408 2023-02-24 18:53:24,925 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 1 day, 10:41:03, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0908, decode.acc_seg: 96.5226, aux.loss_ce: 0.0433, aux.acc_seg: 95.8654, loss: 0.1341 2023-02-24 18:54:13,930 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 1 day, 10:40:10, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0804, decode.acc_seg: 96.8702, aux.loss_ce: 0.0410, aux.acc_seg: 96.0571, loss: 0.1214 2023-02-24 18:55:05,596 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 18:55:05,597 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 1 day, 10:39:26, time: 1.033, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0862, decode.acc_seg: 96.7087, aux.loss_ce: 0.0431, aux.acc_seg: 95.9775, loss: 0.1293 2023-02-24 18:55:54,963 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 1 day, 10:38:34, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0977, decode.acc_seg: 96.3206, aux.loss_ce: 0.0501, aux.acc_seg: 95.3285, loss: 0.1478 2023-02-24 18:56:44,191 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 1 day, 10:37:42, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0863, decode.acc_seg: 96.6781, aux.loss_ce: 0.0450, aux.acc_seg: 95.7893, loss: 0.1313 2023-02-24 18:57:33,383 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 1 day, 10:36:49, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0877, decode.acc_seg: 96.6772, aux.loss_ce: 0.0462, aux.acc_seg: 95.7165, loss: 0.1339 2023-02-24 18:58:22,580 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 1 day, 10:35:57, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0859, decode.acc_seg: 96.7332, aux.loss_ce: 0.0442, aux.acc_seg: 95.8303, loss: 0.1300 2023-02-24 18:59:11,914 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 1 day, 10:35:05, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0892, decode.acc_seg: 96.5942, aux.loss_ce: 0.0446, aux.acc_seg: 95.8192, loss: 0.1338 2023-02-24 19:00:01,166 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 1 day, 10:34:13, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0941, decode.acc_seg: 96.3258, aux.loss_ce: 0.0463, aux.acc_seg: 95.6199, loss: 0.1404 2023-02-24 19:00:53,230 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 1 day, 10:33:31, time: 1.041, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0871, decode.acc_seg: 96.6421, aux.loss_ce: 0.0436, aux.acc_seg: 95.8571, loss: 0.1307 2023-02-24 19:01:42,409 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 1 day, 10:32:38, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0811, decode.acc_seg: 96.9351, aux.loss_ce: 0.0405, aux.acc_seg: 96.2331, loss: 0.1216 2023-02-24 19:02:31,833 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 1 day, 10:31:47, time: 0.989, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0835, decode.acc_seg: 96.7772, aux.loss_ce: 0.0423, aux.acc_seg: 95.9520, loss: 0.1259 2023-02-24 19:03:21,085 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 1 day, 10:30:54, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0884, decode.acc_seg: 96.6064, aux.loss_ce: 0.0445, aux.acc_seg: 95.8155, loss: 0.1329 2023-02-24 19:04:10,390 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 1 day, 10:30:02, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0845, decode.acc_seg: 96.7369, aux.loss_ce: 0.0415, aux.acc_seg: 96.0218, loss: 0.1260 2023-02-24 19:04:59,506 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 1 day, 10:29:10, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0886, decode.acc_seg: 96.5606, aux.loss_ce: 0.0453, aux.acc_seg: 95.7190, loss: 0.1340 2023-02-24 19:05:48,836 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 1 day, 10:28:18, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1028, decode.acc_seg: 96.2135, aux.loss_ce: 0.0509, aux.acc_seg: 95.4291, loss: 0.1537 2023-02-24 19:06:37,939 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 1 day, 10:27:25, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1226, decode.acc_seg: 95.7815, aux.loss_ce: 0.0523, aux.acc_seg: 95.2748, loss: 0.1749 2023-02-24 19:07:29,499 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 1 day, 10:26:41, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0933, decode.acc_seg: 96.5008, aux.loss_ce: 0.0449, aux.acc_seg: 95.7885, loss: 0.1382 2023-02-24 19:08:18,689 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 1 day, 10:25:49, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0860, decode.acc_seg: 96.6968, aux.loss_ce: 0.0424, aux.acc_seg: 95.9880, loss: 0.1284 2023-02-24 19:09:08,082 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 1 day, 10:24:57, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0877, decode.acc_seg: 96.6191, aux.loss_ce: 0.0456, aux.acc_seg: 95.6617, loss: 0.1332 2023-02-24 19:09:57,280 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 1 day, 10:24:05, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0930, decode.acc_seg: 96.4355, aux.loss_ce: 0.0469, aux.acc_seg: 95.5745, loss: 0.1399 2023-02-24 19:10:46,801 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 1 day, 10:23:13, time: 0.990, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0887, decode.acc_seg: 96.5961, aux.loss_ce: 0.0426, aux.acc_seg: 95.9434, loss: 0.1313 2023-02-24 19:11:35,193 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:11:35,194 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 1 day, 10:22:18, time: 0.968, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0843, decode.acc_seg: 96.7875, aux.loss_ce: 0.0444, aux.acc_seg: 95.7689, loss: 0.1287 2023-02-24 19:12:23,522 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 1 day, 10:21:23, time: 0.967, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0926, decode.acc_seg: 96.4177, aux.loss_ce: 0.0482, aux.acc_seg: 95.5971, loss: 0.1408 2023-02-24 19:13:14,625 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 1 day, 10:20:37, time: 1.022, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0824, decode.acc_seg: 96.8176, aux.loss_ce: 0.0417, aux.acc_seg: 96.0462, loss: 0.1240 2023-02-24 19:14:03,896 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 1 day, 10:19:45, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0919, decode.acc_seg: 96.4281, aux.loss_ce: 0.0457, aux.acc_seg: 95.7012, loss: 0.1376 2023-02-24 19:14:53,035 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 1 day, 10:18:53, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0847, decode.acc_seg: 96.7714, aux.loss_ce: 0.0426, aux.acc_seg: 96.0036, loss: 0.1273 2023-02-24 19:15:42,214 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 1 day, 10:18:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0867, decode.acc_seg: 96.6874, aux.loss_ce: 0.0419, aux.acc_seg: 95.9880, loss: 0.1286 2023-02-24 19:16:31,605 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 1 day, 10:17:09, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0835, decode.acc_seg: 96.8333, aux.loss_ce: 0.0429, aux.acc_seg: 96.0075, loss: 0.1264 2023-02-24 19:17:21,010 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 1 day, 10:16:17, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0906, decode.acc_seg: 96.5001, aux.loss_ce: 0.0451, aux.acc_seg: 95.6875, loss: 0.1357 2023-02-24 19:18:10,246 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 1 day, 10:15:25, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0888, decode.acc_seg: 96.5976, aux.loss_ce: 0.0423, aux.acc_seg: 96.0618, loss: 0.1311 2023-02-24 19:18:59,322 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 1 day, 10:14:33, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0876, decode.acc_seg: 96.6505, aux.loss_ce: 0.0438, aux.acc_seg: 95.8467, loss: 0.1315 2023-02-24 19:19:51,588 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 1 day, 10:13:51, time: 1.045, data_time: 0.068, memory: 19374, decode.loss_ce: 0.0870, decode.acc_seg: 96.7074, aux.loss_ce: 0.0433, aux.acc_seg: 95.9268, loss: 0.1303 2023-02-24 19:20:40,798 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 1 day, 10:12:59, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1111, decode.acc_seg: 95.9571, aux.loss_ce: 0.0492, aux.acc_seg: 95.4689, loss: 0.1603 2023-02-24 19:21:30,027 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 1 day, 10:12:06, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0868, decode.acc_seg: 96.6456, aux.loss_ce: 0.0447, aux.acc_seg: 95.7536, loss: 0.1315 2023-02-24 19:22:19,179 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 1 day, 10:11:14, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0872, decode.acc_seg: 96.5763, aux.loss_ce: 0.0442, aux.acc_seg: 95.8005, loss: 0.1314 2023-02-24 19:23:08,549 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 1 day, 10:10:22, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0893, decode.acc_seg: 96.6983, aux.loss_ce: 0.0444, aux.acc_seg: 95.9204, loss: 0.1338 2023-02-24 19:23:57,966 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 1 day, 10:09:31, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0868, decode.acc_seg: 96.6676, aux.loss_ce: 0.0447, aux.acc_seg: 95.7663, loss: 0.1315 2023-02-24 19:24:47,291 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 1 day, 10:08:39, time: 0.987, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0847, decode.acc_seg: 96.6948, aux.loss_ce: 0.0437, aux.acc_seg: 95.8174, loss: 0.1284 2023-02-24 19:25:39,171 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 1 day, 10:07:56, time: 1.038, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0820, decode.acc_seg: 96.8320, aux.loss_ce: 0.0441, aux.acc_seg: 95.8593, loss: 0.1261 2023-02-24 19:26:28,381 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 1 day, 10:07:04, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0940, decode.acc_seg: 96.2925, aux.loss_ce: 0.0459, aux.acc_seg: 95.6487, loss: 0.1399 2023-02-24 19:27:17,600 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 1 day, 10:06:12, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0848, decode.acc_seg: 96.7326, aux.loss_ce: 0.0429, aux.acc_seg: 95.9627, loss: 0.1277 2023-02-24 19:28:07,333 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:28:07,333 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 1 day, 10:05:21, time: 0.995, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0789, decode.acc_seg: 96.8910, aux.loss_ce: 0.0425, aux.acc_seg: 95.9277, loss: 0.1214 2023-02-24 19:28:56,554 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 1 day, 10:04:29, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0810, decode.acc_seg: 96.8490, aux.loss_ce: 0.0411, aux.acc_seg: 96.0859, loss: 0.1221 2023-02-24 19:29:45,766 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 1 day, 10:03:37, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0930, decode.acc_seg: 96.4550, aux.loss_ce: 0.0451, aux.acc_seg: 95.7952, loss: 0.1380 2023-02-24 19:30:35,006 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 1 day, 10:02:45, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0787, decode.acc_seg: 96.9171, aux.loss_ce: 0.0405, aux.acc_seg: 96.1211, loss: 0.1193 2023-02-24 19:31:24,256 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 1 day, 10:01:53, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0826, decode.acc_seg: 96.7758, aux.loss_ce: 0.0426, aux.acc_seg: 95.9268, loss: 0.1252 2023-02-24 19:32:15,908 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 1 day, 10:01:09, time: 1.033, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0858, decode.acc_seg: 96.7073, aux.loss_ce: 0.0428, aux.acc_seg: 95.9504, loss: 0.1287 2023-02-24 19:33:05,253 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 1 day, 10:00:17, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0838, decode.acc_seg: 96.7624, aux.loss_ce: 0.0424, aux.acc_seg: 95.9702, loss: 0.1262 2023-02-24 19:33:54,621 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 1 day, 9:59:26, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0830, decode.acc_seg: 96.7474, aux.loss_ce: 0.0428, aux.acc_seg: 95.9788, loss: 0.1258 2023-02-24 19:34:43,887 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 1 day, 9:58:34, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0803, decode.acc_seg: 96.8965, aux.loss_ce: 0.0448, aux.acc_seg: 95.8765, loss: 0.1251 2023-02-24 19:35:33,061 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 1 day, 9:57:42, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0800, decode.acc_seg: 96.8567, aux.loss_ce: 0.0411, aux.acc_seg: 96.0658, loss: 0.1211 2023-02-24 19:36:22,449 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 1 day, 9:56:50, time: 0.988, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0881, decode.acc_seg: 96.5696, aux.loss_ce: 0.0481, aux.acc_seg: 95.4568, loss: 0.1362 2023-02-24 19:37:11,843 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 1 day, 9:55:59, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0788, decode.acc_seg: 96.9344, aux.loss_ce: 0.0408, aux.acc_seg: 96.1120, loss: 0.1195 2023-02-24 19:38:03,621 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 1 day, 9:55:15, time: 1.036, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0959, decode.acc_seg: 96.4990, aux.loss_ce: 0.0462, aux.acc_seg: 95.8843, loss: 0.1421 2023-02-24 19:38:53,095 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 1 day, 9:54:24, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0854, decode.acc_seg: 96.7654, aux.loss_ce: 0.0443, aux.acc_seg: 95.8584, loss: 0.1298 2023-02-24 19:39:42,903 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 1 day, 9:53:34, time: 0.996, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0880, decode.acc_seg: 96.6912, aux.loss_ce: 0.0459, aux.acc_seg: 95.6798, loss: 0.1339 2023-02-24 19:40:32,865 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 1 day, 9:52:44, time: 0.999, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0856, decode.acc_seg: 96.6693, aux.loss_ce: 0.0440, aux.acc_seg: 95.8163, loss: 0.1296 2023-02-24 19:41:22,765 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 1 day, 9:51:54, time: 0.998, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0787, decode.acc_seg: 96.9466, aux.loss_ce: 0.0432, aux.acc_seg: 95.9258, loss: 0.1218 2023-02-24 19:42:12,143 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 1 day, 9:51:03, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0812, decode.acc_seg: 96.7920, aux.loss_ce: 0.0443, aux.acc_seg: 95.7269, loss: 0.1255 2023-02-24 19:43:01,339 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 1 day, 9:50:11, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0824, decode.acc_seg: 96.8609, aux.loss_ce: 0.0412, aux.acc_seg: 96.1052, loss: 0.1236 2023-02-24 19:43:53,106 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 1 day, 9:49:27, time: 1.036, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0876, decode.acc_seg: 96.6589, aux.loss_ce: 0.0424, aux.acc_seg: 95.9982, loss: 0.1300 2023-02-24 19:44:42,892 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 19:44:42,892 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 1 day, 9:48:37, time: 0.996, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0842, decode.acc_seg: 96.7857, aux.loss_ce: 0.0430, aux.acc_seg: 95.9425, loss: 0.1272 2023-02-24 19:45:32,951 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 1 day, 9:47:47, time: 1.001, data_time: 0.025, memory: 19374, decode.loss_ce: 0.0796, decode.acc_seg: 96.8568, aux.loss_ce: 0.0411, aux.acc_seg: 96.0312, loss: 0.1207 2023-02-24 19:46:22,829 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 1 day, 9:46:57, time: 0.998, data_time: 0.023, memory: 19374, decode.loss_ce: 0.0852, decode.acc_seg: 96.7462, aux.loss_ce: 0.0423, aux.acc_seg: 95.9469, loss: 0.1274 2023-02-24 19:47:11,993 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 1 day, 9:46:05, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0833, decode.acc_seg: 96.7518, aux.loss_ce: 0.0411, aux.acc_seg: 96.0364, loss: 0.1244 2023-02-24 19:48:01,196 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 1 day, 9:45:13, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0826, decode.acc_seg: 96.8354, aux.loss_ce: 0.0421, aux.acc_seg: 95.9988, loss: 0.1247 2023-02-24 19:48:50,548 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 1 day, 9:44:22, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0826, decode.acc_seg: 96.8500, aux.loss_ce: 0.0416, aux.acc_seg: 96.0774, loss: 0.1241 2023-02-24 19:49:39,696 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 1 day, 9:43:29, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0845, decode.acc_seg: 96.7213, aux.loss_ce: 0.0437, aux.acc_seg: 95.8717, loss: 0.1282 2023-02-24 19:50:31,368 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 1 day, 9:42:45, time: 1.033, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0868, decode.acc_seg: 96.6935, aux.loss_ce: 0.0429, aux.acc_seg: 95.9587, loss: 0.1297 2023-02-24 19:51:20,665 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 1 day, 9:41:53, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0803, decode.acc_seg: 96.8633, aux.loss_ce: 0.0420, aux.acc_seg: 95.9988, loss: 0.1222 2023-02-24 19:52:10,116 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 1 day, 9:41:02, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0824, decode.acc_seg: 96.8339, aux.loss_ce: 0.0409, aux.acc_seg: 96.1070, loss: 0.1232 2023-02-24 19:52:59,480 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 1 day, 9:40:11, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0763, decode.acc_seg: 97.0307, aux.loss_ce: 0.0400, aux.acc_seg: 96.1610, loss: 0.1163 2023-02-24 19:53:48,953 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 1 day, 9:39:19, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0748, decode.acc_seg: 97.0597, aux.loss_ce: 0.0396, aux.acc_seg: 96.1850, loss: 0.1145 2023-02-24 19:54:38,239 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 1 day, 9:38:28, time: 0.986, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0822, decode.acc_seg: 96.7641, aux.loss_ce: 0.0426, aux.acc_seg: 95.9031, loss: 0.1247 2023-02-24 19:55:27,366 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 1 day, 9:37:35, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0887, decode.acc_seg: 96.6408, aux.loss_ce: 0.0446, aux.acc_seg: 95.8397, loss: 0.1333 2023-02-24 19:56:18,911 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 1 day, 9:36:51, time: 1.031, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0812, decode.acc_seg: 96.8501, aux.loss_ce: 0.0426, aux.acc_seg: 95.9498, loss: 0.1239 2023-02-24 19:57:08,482 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 1 day, 9:36:00, time: 0.992, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0779, decode.acc_seg: 96.9342, aux.loss_ce: 0.0402, aux.acc_seg: 96.1237, loss: 0.1181 2023-02-24 19:57:58,321 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 1 day, 9:35:10, time: 0.997, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0809, decode.acc_seg: 96.8827, aux.loss_ce: 0.0409, aux.acc_seg: 96.1467, loss: 0.1218 2023-02-24 19:58:47,567 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 1 day, 9:34:18, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0805, decode.acc_seg: 96.8475, aux.loss_ce: 0.0422, aux.acc_seg: 95.9913, loss: 0.1227 2023-02-24 19:59:36,974 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 1 day, 9:33:27, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0854, decode.acc_seg: 96.7021, aux.loss_ce: 0.0441, aux.acc_seg: 95.8352, loss: 0.1295 2023-02-24 20:00:26,275 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 1 day, 9:32:35, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0801, decode.acc_seg: 96.8767, aux.loss_ce: 0.0412, aux.acc_seg: 96.0789, loss: 0.1213 2023-02-24 20:01:15,511 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:01:15,512 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 1 day, 9:31:43, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1088, decode.acc_seg: 96.0466, aux.loss_ce: 0.0507, aux.acc_seg: 95.4484, loss: 0.1595 2023-02-24 20:02:04,878 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 1 day, 9:30:52, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.1088, decode.acc_seg: 95.9981, aux.loss_ce: 0.0482, aux.acc_seg: 95.4803, loss: 0.1569 2023-02-24 20:02:56,836 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 1 day, 9:30:08, time: 1.039, data_time: 0.058, memory: 19374, decode.loss_ce: 0.1005, decode.acc_seg: 96.1823, aux.loss_ce: 0.0465, aux.acc_seg: 95.6170, loss: 0.1470 2023-02-24 20:03:46,068 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 1 day, 9:29:16, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0892, decode.acc_seg: 96.5882, aux.loss_ce: 0.0439, aux.acc_seg: 95.8797, loss: 0.1332 2023-02-24 20:04:35,314 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 1 day, 9:28:25, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.1028, decode.acc_seg: 96.1734, aux.loss_ce: 0.0487, aux.acc_seg: 95.4895, loss: 0.1514 2023-02-24 20:05:24,708 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 1 day, 9:27:33, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0869, decode.acc_seg: 96.6464, aux.loss_ce: 0.0438, aux.acc_seg: 95.8078, loss: 0.1307 2023-02-24 20:06:14,019 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 1 day, 9:26:42, time: 0.987, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0830, decode.acc_seg: 96.7929, aux.loss_ce: 0.0420, aux.acc_seg: 95.9782, loss: 0.1249 2023-02-24 20:07:04,029 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 1 day, 9:25:52, time: 1.000, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0860, decode.acc_seg: 96.7114, aux.loss_ce: 0.0440, aux.acc_seg: 95.9323, loss: 0.1300 2023-02-24 20:07:53,995 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 1 day, 9:25:03, time: 0.999, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0824, decode.acc_seg: 96.8214, aux.loss_ce: 0.0414, aux.acc_seg: 96.0438, loss: 0.1238 2023-02-24 20:08:46,505 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 1 day, 9:24:21, time: 1.050, data_time: 0.070, memory: 19374, decode.loss_ce: 0.0986, decode.acc_seg: 96.2232, aux.loss_ce: 0.0462, aux.acc_seg: 95.6224, loss: 0.1448 2023-02-24 20:09:35,704 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 1 day, 9:23:29, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0853, decode.acc_seg: 96.6571, aux.loss_ce: 0.0430, aux.acc_seg: 95.8484, loss: 0.1283 2023-02-24 20:10:24,940 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 1 day, 9:22:37, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0879, decode.acc_seg: 96.6295, aux.loss_ce: 0.0437, aux.acc_seg: 95.8640, loss: 0.1316 2023-02-24 20:11:14,182 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 1 day, 9:21:45, time: 0.985, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0835, decode.acc_seg: 96.7674, aux.loss_ce: 0.0425, aux.acc_seg: 95.9665, loss: 0.1260 2023-02-24 20:12:04,167 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 1 day, 9:20:56, time: 1.000, data_time: 0.023, memory: 19374, decode.loss_ce: 0.0812, decode.acc_seg: 96.8856, aux.loss_ce: 0.0423, aux.acc_seg: 95.9615, loss: 0.1235 2023-02-24 20:12:54,194 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 1 day, 9:20:06, time: 1.001, data_time: 0.026, memory: 19374, decode.loss_ce: 0.0793, decode.acc_seg: 96.8949, aux.loss_ce: 0.0402, aux.acc_seg: 96.1428, loss: 0.1195 2023-02-24 20:13:44,240 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 1 day, 9:19:17, time: 1.001, data_time: 0.023, memory: 19374, decode.loss_ce: 0.0874, decode.acc_seg: 96.7100, aux.loss_ce: 0.0454, aux.acc_seg: 95.6873, loss: 0.1329 2023-02-24 20:14:34,174 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 1 day, 9:18:27, time: 0.998, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0894, decode.acc_seg: 96.5203, aux.loss_ce: 0.0433, aux.acc_seg: 95.8968, loss: 0.1327 2023-02-24 20:15:26,421 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 1 day, 9:17:44, time: 1.045, data_time: 0.071, memory: 19374, decode.loss_ce: 0.0815, decode.acc_seg: 96.8449, aux.loss_ce: 0.0422, aux.acc_seg: 96.0099, loss: 0.1237 2023-02-24 20:16:15,523 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 1 day, 9:16:52, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0811, decode.acc_seg: 96.7975, aux.loss_ce: 0.0419, aux.acc_seg: 96.0261, loss: 0.1230 2023-02-24 20:17:04,827 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 1 day, 9:16:00, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0844, decode.acc_seg: 96.8038, aux.loss_ce: 0.0422, aux.acc_seg: 96.0411, loss: 0.1266 2023-02-24 20:17:54,208 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:17:54,209 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 1 day, 9:15:09, time: 0.988, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0832, decode.acc_seg: 96.7038, aux.loss_ce: 0.0428, aux.acc_seg: 95.9041, loss: 0.1261 2023-02-24 20:18:43,446 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 1 day, 9:14:17, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0804, decode.acc_seg: 96.8888, aux.loss_ce: 0.0406, aux.acc_seg: 96.1086, loss: 0.1210 2023-02-24 20:19:32,771 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 1 day, 9:13:26, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0811, decode.acc_seg: 96.8512, aux.loss_ce: 0.0411, aux.acc_seg: 96.0380, loss: 0.1222 2023-02-24 20:20:22,101 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 1 day, 9:12:34, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0804, decode.acc_seg: 96.8680, aux.loss_ce: 0.0419, aux.acc_seg: 96.0199, loss: 0.1223 2023-02-24 20:21:14,992 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 1 day, 9:11:53, time: 1.058, data_time: 0.081, memory: 19374, decode.loss_ce: 0.0814, decode.acc_seg: 96.8037, aux.loss_ce: 0.0419, aux.acc_seg: 95.9874, loss: 0.1233 2023-02-24 20:22:04,795 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 1 day, 9:11:03, time: 0.996, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0797, decode.acc_seg: 96.8570, aux.loss_ce: 0.0410, aux.acc_seg: 95.9820, loss: 0.1207 2023-02-24 20:22:54,355 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 1 day, 9:10:12, time: 0.992, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0823, decode.acc_seg: 96.7638, aux.loss_ce: 0.0412, aux.acc_seg: 96.0170, loss: 0.1235 2023-02-24 20:23:43,604 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 1 day, 9:09:21, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0784, decode.acc_seg: 96.9321, aux.loss_ce: 0.0413, aux.acc_seg: 96.0515, loss: 0.1196 2023-02-24 20:24:32,897 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 1 day, 9:08:29, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0784, decode.acc_seg: 96.9206, aux.loss_ce: 0.0404, aux.acc_seg: 96.1789, loss: 0.1188 2023-02-24 20:25:21,893 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 1 day, 9:07:36, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0822, decode.acc_seg: 96.8009, aux.loss_ce: 0.0414, aux.acc_seg: 96.0209, loss: 0.1236 2023-02-24 20:26:11,180 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 1 day, 9:06:45, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0832, decode.acc_seg: 96.7626, aux.loss_ce: 0.0407, aux.acc_seg: 96.0859, loss: 0.1239 2023-02-24 20:27:02,955 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 1 day, 9:06:01, time: 1.036, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0775, decode.acc_seg: 96.9743, aux.loss_ce: 0.0395, aux.acc_seg: 96.2278, loss: 0.1170 2023-02-24 20:27:52,500 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 1 day, 9:05:10, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0764, decode.acc_seg: 97.0067, aux.loss_ce: 0.0390, aux.acc_seg: 96.2512, loss: 0.1153 2023-02-24 20:28:41,739 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 1 day, 9:04:18, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0799, decode.acc_seg: 96.8264, aux.loss_ce: 0.0414, aux.acc_seg: 95.9877, loss: 0.1214 2023-02-24 20:29:31,283 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 1 day, 9:03:27, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0737, decode.acc_seg: 97.1014, aux.loss_ce: 0.0382, aux.acc_seg: 96.3112, loss: 0.1119 2023-02-24 20:30:20,648 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 1 day, 9:02:36, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0786, decode.acc_seg: 96.8460, aux.loss_ce: 0.0401, aux.acc_seg: 96.0694, loss: 0.1187 2023-02-24 20:31:09,996 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 1 day, 9:01:44, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0793, decode.acc_seg: 96.9143, aux.loss_ce: 0.0390, aux.acc_seg: 96.2814, loss: 0.1183 2023-02-24 20:31:59,844 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 1 day, 9:00:54, time: 0.997, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0779, decode.acc_seg: 96.9525, aux.loss_ce: 0.0409, aux.acc_seg: 96.0795, loss: 0.1188 2023-02-24 20:32:49,827 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 1 day, 9:00:05, time: 0.999, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0822, decode.acc_seg: 96.8108, aux.loss_ce: 0.0423, aux.acc_seg: 95.9643, loss: 0.1245 2023-02-24 20:33:42,184 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 1 day, 8:59:22, time: 1.047, data_time: 0.069, memory: 19374, decode.loss_ce: 0.0800, decode.acc_seg: 96.8935, aux.loss_ce: 0.0396, aux.acc_seg: 96.2205, loss: 0.1195 2023-02-24 20:34:31,396 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:34:31,397 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 1 day, 8:58:30, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0790, decode.acc_seg: 96.9513, aux.loss_ce: 0.0416, aux.acc_seg: 96.0441, loss: 0.1205 2023-02-24 20:35:20,586 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 1 day, 8:57:38, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0802, decode.acc_seg: 96.8173, aux.loss_ce: 0.0431, aux.acc_seg: 95.8799, loss: 0.1233 2023-02-24 20:36:10,003 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 1 day, 8:56:47, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0834, decode.acc_seg: 96.7380, aux.loss_ce: 0.0406, aux.acc_seg: 96.1234, loss: 0.1240 2023-02-24 20:36:59,978 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 1 day, 8:55:58, time: 1.000, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0739, decode.acc_seg: 97.1009, aux.loss_ce: 0.0399, aux.acc_seg: 96.2227, loss: 0.1139 2023-02-24 20:37:49,831 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 1 day, 8:55:08, time: 0.997, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0740, decode.acc_seg: 97.0749, aux.loss_ce: 0.0378, aux.acc_seg: 96.3428, loss: 0.1118 2023-02-24 20:38:39,244 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 1 day, 8:54:16, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0772, decode.acc_seg: 96.9974, aux.loss_ce: 0.0404, aux.acc_seg: 96.1288, loss: 0.1177 2023-02-24 20:39:30,904 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 1 day, 8:53:32, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0792, decode.acc_seg: 96.9184, aux.loss_ce: 0.0410, aux.acc_seg: 96.0955, loss: 0.1202 2023-02-24 20:40:20,231 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 1 day, 8:52:40, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0813, decode.acc_seg: 96.7752, aux.loss_ce: 0.0434, aux.acc_seg: 95.7687, loss: 0.1247 2023-02-24 20:41:09,742 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 1 day, 8:51:49, time: 0.990, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0818, decode.acc_seg: 96.8321, aux.loss_ce: 0.0416, aux.acc_seg: 95.9771, loss: 0.1235 2023-02-24 20:41:59,038 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 1 day, 8:50:58, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0775, decode.acc_seg: 97.0147, aux.loss_ce: 0.0410, aux.acc_seg: 96.0612, loss: 0.1186 2023-02-24 20:42:48,124 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 1 day, 8:50:06, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0794, decode.acc_seg: 96.9059, aux.loss_ce: 0.0409, aux.acc_seg: 96.0984, loss: 0.1204 2023-02-24 20:43:37,500 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 1 day, 8:49:14, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0782, decode.acc_seg: 96.9234, aux.loss_ce: 0.0401, aux.acc_seg: 96.0717, loss: 0.1183 2023-02-24 20:44:26,114 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 1 day, 8:48:21, time: 0.972, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0831, decode.acc_seg: 96.7902, aux.loss_ce: 0.0418, aux.acc_seg: 96.0028, loss: 0.1250 2023-02-24 20:45:14,743 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 1 day, 8:47:27, time: 0.973, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0800, decode.acc_seg: 96.8701, aux.loss_ce: 0.0416, aux.acc_seg: 96.0288, loss: 0.1216 2023-02-24 20:46:06,445 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 1 day, 8:46:43, time: 1.034, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0773, decode.acc_seg: 96.9789, aux.loss_ce: 0.0401, aux.acc_seg: 96.1636, loss: 0.1175 2023-02-24 20:46:56,066 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 1 day, 8:45:52, time: 0.992, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0818, decode.acc_seg: 96.7830, aux.loss_ce: 0.0407, aux.acc_seg: 96.0916, loss: 0.1225 2023-02-24 20:47:45,356 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 1 day, 8:45:01, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.1613, aux.loss_ce: 0.0384, aux.acc_seg: 96.2600, loss: 0.1104 2023-02-24 20:48:35,037 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 1 day, 8:44:10, time: 0.994, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0712, decode.acc_seg: 97.2101, aux.loss_ce: 0.0373, aux.acc_seg: 96.3834, loss: 0.1085 2023-02-24 20:49:24,782 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 1 day, 8:43:20, time: 0.995, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0798, decode.acc_seg: 96.8917, aux.loss_ce: 0.0408, aux.acc_seg: 96.1521, loss: 0.1206 2023-02-24 20:50:14,231 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 1 day, 8:42:29, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0848, decode.acc_seg: 96.6772, aux.loss_ce: 0.0435, aux.acc_seg: 95.7879, loss: 0.1283 2023-02-24 20:51:03,210 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 20:51:03,211 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 1 day, 8:41:36, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0805, decode.acc_seg: 96.8108, aux.loss_ce: 0.0408, aux.acc_seg: 96.0594, loss: 0.1213 2023-02-24 20:51:55,056 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 1 day, 8:40:52, time: 1.037, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0836, decode.acc_seg: 96.6774, aux.loss_ce: 0.0423, aux.acc_seg: 95.8785, loss: 0.1259 2023-02-24 20:52:44,834 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 1 day, 8:40:02, time: 0.996, data_time: 0.023, memory: 19374, decode.loss_ce: 0.0813, decode.acc_seg: 96.8180, aux.loss_ce: 0.0414, aux.acc_seg: 96.0484, loss: 0.1227 2023-02-24 20:53:33,950 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 1 day, 8:39:10, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0857, decode.acc_seg: 96.6919, aux.loss_ce: 0.0445, aux.acc_seg: 95.9038, loss: 0.1302 2023-02-24 20:54:23,195 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 1 day, 8:38:18, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0855, decode.acc_seg: 96.7140, aux.loss_ce: 0.0411, aux.acc_seg: 96.1377, loss: 0.1266 2023-02-24 20:55:12,197 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 1 day, 8:37:26, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0814, decode.acc_seg: 96.8481, aux.loss_ce: 0.0419, aux.acc_seg: 96.0086, loss: 0.1233 2023-02-24 20:56:01,131 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 1 day, 8:36:34, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0823, decode.acc_seg: 96.8196, aux.loss_ce: 0.0411, aux.acc_seg: 96.1357, loss: 0.1234 2023-02-24 20:56:50,281 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 1 day, 8:35:42, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0813, decode.acc_seg: 96.8268, aux.loss_ce: 0.0414, aux.acc_seg: 96.0365, loss: 0.1227 2023-02-24 20:57:40,104 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 1 day, 8:34:52, time: 0.997, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0802, decode.acc_seg: 96.8614, aux.loss_ce: 0.0405, aux.acc_seg: 96.0905, loss: 0.1206 2023-02-24 20:58:32,412 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 1 day, 8:34:09, time: 1.046, data_time: 0.072, memory: 19374, decode.loss_ce: 0.0854, decode.acc_seg: 96.7142, aux.loss_ce: 0.0433, aux.acc_seg: 95.9196, loss: 0.1288 2023-02-24 20:59:21,851 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 1 day, 8:33:18, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0807, decode.acc_seg: 96.8582, aux.loss_ce: 0.0390, aux.acc_seg: 96.2377, loss: 0.1197 2023-02-24 21:00:10,851 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 1 day, 8:32:25, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0816, decode.acc_seg: 96.8334, aux.loss_ce: 0.0401, aux.acc_seg: 96.1675, loss: 0.1217 2023-02-24 21:01:00,160 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 1 day, 8:31:34, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0780, decode.acc_seg: 96.9297, aux.loss_ce: 0.0401, aux.acc_seg: 96.1666, loss: 0.1181 2023-02-24 21:01:49,314 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 1 day, 8:30:42, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0778, decode.acc_seg: 96.9630, aux.loss_ce: 0.0393, aux.acc_seg: 96.2373, loss: 0.1171 2023-02-24 21:02:38,432 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 1 day, 8:29:50, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0801, decode.acc_seg: 96.8729, aux.loss_ce: 0.0421, aux.acc_seg: 96.0167, loss: 0.1222 2023-02-24 21:03:27,445 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 1 day, 8:28:58, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0775, decode.acc_seg: 96.9189, aux.loss_ce: 0.0407, aux.acc_seg: 96.1020, loss: 0.1182 2023-02-24 21:04:19,047 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 1 day, 8:28:13, time: 1.032, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0832, decode.acc_seg: 96.7615, aux.loss_ce: 0.0428, aux.acc_seg: 95.9565, loss: 0.1259 2023-02-24 21:05:08,058 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 1 day, 8:27:21, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0800, decode.acc_seg: 96.8742, aux.loss_ce: 0.0416, aux.acc_seg: 95.9810, loss: 0.1216 2023-02-24 21:05:57,187 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 1 day, 8:26:29, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0839, decode.acc_seg: 96.7134, aux.loss_ce: 0.0408, aux.acc_seg: 96.1191, loss: 0.1246 2023-02-24 21:06:46,306 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 1 day, 8:25:37, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0829, decode.acc_seg: 96.8113, aux.loss_ce: 0.0428, aux.acc_seg: 95.8477, loss: 0.1257 2023-02-24 21:07:35,462 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:07:35,462 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 1 day, 8:24:45, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0757, decode.acc_seg: 97.0281, aux.loss_ce: 0.0403, aux.acc_seg: 96.0865, loss: 0.1159 2023-02-24 21:08:25,234 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 1 day, 8:23:55, time: 0.995, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0774, decode.acc_seg: 96.9716, aux.loss_ce: 0.0414, aux.acc_seg: 96.0567, loss: 0.1188 2023-02-24 21:09:14,179 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 1 day, 8:23:03, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0735, decode.acc_seg: 97.1012, aux.loss_ce: 0.0395, aux.acc_seg: 96.2117, loss: 0.1130 2023-02-24 21:10:03,230 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 1 day, 8:22:10, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0857, decode.acc_seg: 96.6842, aux.loss_ce: 0.0423, aux.acc_seg: 96.0028, loss: 0.1280 2023-02-24 21:10:54,890 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 1 day, 8:21:25, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0818, decode.acc_seg: 96.7841, aux.loss_ce: 0.0405, aux.acc_seg: 96.1137, loss: 0.1223 2023-02-24 21:11:44,296 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 1 day, 8:20:34, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0823, decode.acc_seg: 96.8105, aux.loss_ce: 0.0437, aux.acc_seg: 95.8485, loss: 0.1260 2023-02-24 21:12:33,417 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 1 day, 8:19:42, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0813, decode.acc_seg: 96.8408, aux.loss_ce: 0.0419, aux.acc_seg: 95.9710, loss: 0.1233 2023-02-24 21:13:22,661 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 1 day, 8:18:51, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0864, decode.acc_seg: 96.6689, aux.loss_ce: 0.0433, aux.acc_seg: 95.9968, loss: 0.1298 2023-02-24 21:14:11,771 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 1 day, 8:17:59, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0892, decode.acc_seg: 96.5121, aux.loss_ce: 0.0419, aux.acc_seg: 95.9518, loss: 0.1311 2023-02-24 21:15:00,793 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 1 day, 8:17:07, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0779, decode.acc_seg: 96.9408, aux.loss_ce: 0.0398, aux.acc_seg: 96.1718, loss: 0.1177 2023-02-24 21:15:50,241 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 1 day, 8:16:16, time: 0.989, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0747, decode.acc_seg: 97.0575, aux.loss_ce: 0.0390, aux.acc_seg: 96.2495, loss: 0.1137 2023-02-24 21:16:42,421 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 1 day, 8:15:32, time: 1.044, data_time: 0.066, memory: 19374, decode.loss_ce: 0.0740, decode.acc_seg: 97.0971, aux.loss_ce: 0.0389, aux.acc_seg: 96.2661, loss: 0.1129 2023-02-24 21:17:31,642 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 1 day, 8:14:41, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0742, decode.acc_seg: 97.0397, aux.loss_ce: 0.0396, aux.acc_seg: 96.0988, loss: 0.1138 2023-02-24 21:18:20,705 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 1 day, 8:13:49, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0780, decode.acc_seg: 97.0180, aux.loss_ce: 0.0403, aux.acc_seg: 96.1555, loss: 0.1183 2023-02-24 21:19:10,434 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 1 day, 8:12:58, time: 0.995, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0746, decode.acc_seg: 97.1002, aux.loss_ce: 0.0395, aux.acc_seg: 96.2739, loss: 0.1141 2023-02-24 21:19:59,578 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 1 day, 8:12:07, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0801, decode.acc_seg: 96.8876, aux.loss_ce: 0.0394, aux.acc_seg: 96.2427, loss: 0.1195 2023-02-24 21:20:48,858 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 1 day, 8:11:15, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0775, decode.acc_seg: 96.9581, aux.loss_ce: 0.0395, aux.acc_seg: 96.2319, loss: 0.1169 2023-02-24 21:21:38,090 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 1 day, 8:10:24, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0755, decode.acc_seg: 97.0485, aux.loss_ce: 0.0378, aux.acc_seg: 96.3732, loss: 0.1133 2023-02-24 21:22:30,748 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 1 day, 8:09:41, time: 1.053, data_time: 0.075, memory: 19374, decode.loss_ce: 0.0796, decode.acc_seg: 96.8567, aux.loss_ce: 0.0413, aux.acc_seg: 95.9949, loss: 0.1210 2023-02-24 21:23:20,641 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 1 day, 8:08:52, time: 0.998, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0763, decode.acc_seg: 97.0033, aux.loss_ce: 0.0402, aux.acc_seg: 96.1871, loss: 0.1164 2023-02-24 21:24:10,344 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:24:10,345 - mmseg - INFO - Iter [44000/160000] lr: 4.350e-05, eta: 1 day, 8:08:01, time: 0.994, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.1266, aux.loss_ce: 0.0367, aux.acc_seg: 96.3726, loss: 0.1085 2023-02-24 21:24:59,601 - mmseg - INFO - Iter [44050/160000] lr: 4.348e-05, eta: 1 day, 8:07:10, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0729, decode.acc_seg: 97.1556, aux.loss_ce: 0.0385, aux.acc_seg: 96.3352, loss: 0.1114 2023-02-24 21:25:48,656 - mmseg - INFO - Iter [44100/160000] lr: 4.346e-05, eta: 1 day, 8:06:18, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0757, decode.acc_seg: 97.0254, aux.loss_ce: 0.0389, aux.acc_seg: 96.2753, loss: 0.1147 2023-02-24 21:26:37,756 - mmseg - INFO - Iter [44150/160000] lr: 4.344e-05, eta: 1 day, 8:05:26, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.1534, aux.loss_ce: 0.0386, aux.acc_seg: 96.2400, loss: 0.1111 2023-02-24 21:27:26,849 - mmseg - INFO - Iter [44200/160000] lr: 4.343e-05, eta: 1 day, 8:04:34, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0754, decode.acc_seg: 97.0504, aux.loss_ce: 0.0398, aux.acc_seg: 96.1741, loss: 0.1152 2023-02-24 21:28:16,156 - mmseg - INFO - Iter [44250/160000] lr: 4.341e-05, eta: 1 day, 8:03:43, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0878, decode.acc_seg: 96.6795, aux.loss_ce: 0.0434, aux.acc_seg: 95.9501, loss: 0.1313 2023-02-24 21:29:08,767 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 1 day, 8:03:00, time: 1.052, data_time: 0.072, memory: 19374, decode.loss_ce: 0.0917, decode.acc_seg: 96.5300, aux.loss_ce: 0.0464, aux.acc_seg: 95.6716, loss: 0.1380 2023-02-24 21:29:57,846 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 1 day, 8:02:08, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0817, decode.acc_seg: 96.8337, aux.loss_ce: 0.0427, aux.acc_seg: 95.9625, loss: 0.1244 2023-02-24 21:30:47,248 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 1 day, 8:01:17, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0761, decode.acc_seg: 97.0282, aux.loss_ce: 0.0433, aux.acc_seg: 95.8389, loss: 0.1194 2023-02-24 21:31:36,656 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 1 day, 8:00:26, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0771, decode.acc_seg: 96.9227, aux.loss_ce: 0.0397, aux.acc_seg: 96.1220, loss: 0.1169 2023-02-24 21:32:26,096 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 1 day, 7:59:35, time: 0.989, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0796, decode.acc_seg: 96.8943, aux.loss_ce: 0.0407, aux.acc_seg: 96.1225, loss: 0.1202 2023-02-24 21:33:15,919 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 1 day, 7:58:45, time: 0.996, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0789, decode.acc_seg: 96.9626, aux.loss_ce: 0.0406, aux.acc_seg: 96.1539, loss: 0.1196 2023-02-24 21:34:06,023 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 1 day, 7:57:56, time: 1.002, data_time: 0.023, memory: 19374, decode.loss_ce: 0.0744, decode.acc_seg: 97.1792, aux.loss_ce: 0.0392, aux.acc_seg: 96.2531, loss: 0.1136 2023-02-24 21:34:58,361 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 1 day, 7:57:12, time: 1.046, data_time: 0.071, memory: 19374, decode.loss_ce: 0.0719, decode.acc_seg: 97.1725, aux.loss_ce: 0.0386, aux.acc_seg: 96.2974, loss: 0.1105 2023-02-24 21:35:47,609 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 1 day, 7:56:21, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0729, decode.acc_seg: 97.1483, aux.loss_ce: 0.0388, aux.acc_seg: 96.3287, loss: 0.1117 2023-02-24 21:36:36,798 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 1 day, 7:55:29, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0733, decode.acc_seg: 97.1121, aux.loss_ce: 0.0380, aux.acc_seg: 96.2866, loss: 0.1113 2023-02-24 21:37:25,956 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 1 day, 7:54:38, time: 0.983, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0780, decode.acc_seg: 96.9132, aux.loss_ce: 0.0416, aux.acc_seg: 96.0261, loss: 0.1196 2023-02-24 21:38:15,911 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 1 day, 7:53:48, time: 0.999, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0751, decode.acc_seg: 97.0340, aux.loss_ce: 0.0384, aux.acc_seg: 96.3024, loss: 0.1135 2023-02-24 21:39:05,070 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 1 day, 7:52:57, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0700, decode.acc_seg: 97.2428, aux.loss_ce: 0.0382, aux.acc_seg: 96.3162, loss: 0.1081 2023-02-24 21:39:54,316 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 1 day, 7:52:05, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.1642, aux.loss_ce: 0.0379, aux.acc_seg: 96.3790, loss: 0.1099 2023-02-24 21:40:43,929 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:40:43,929 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 1 day, 7:51:15, time: 0.992, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0762, decode.acc_seg: 97.0002, aux.loss_ce: 0.0427, aux.acc_seg: 95.9711, loss: 0.1189 2023-02-24 21:41:35,828 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 1 day, 7:50:30, time: 1.038, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0701, decode.acc_seg: 97.2176, aux.loss_ce: 0.0366, aux.acc_seg: 96.4347, loss: 0.1067 2023-02-24 21:42:25,042 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 1 day, 7:49:38, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0742, decode.acc_seg: 97.0786, aux.loss_ce: 0.0373, aux.acc_seg: 96.4024, loss: 0.1115 2023-02-24 21:43:14,062 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 1 day, 7:48:46, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0751, decode.acc_seg: 97.0601, aux.loss_ce: 0.0377, aux.acc_seg: 96.3689, loss: 0.1129 2023-02-24 21:44:03,251 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 1 day, 7:47:55, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0815, decode.acc_seg: 96.8622, aux.loss_ce: 0.0400, aux.acc_seg: 96.2707, loss: 0.1216 2023-02-24 21:44:52,430 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 1 day, 7:47:03, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0767, decode.acc_seg: 96.9995, aux.loss_ce: 0.0399, aux.acc_seg: 96.1512, loss: 0.1166 2023-02-24 21:45:41,476 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 1 day, 7:46:11, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0733, decode.acc_seg: 97.1158, aux.loss_ce: 0.0389, aux.acc_seg: 96.2538, loss: 0.1121 2023-02-24 21:46:31,340 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 1 day, 7:45:21, time: 0.997, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0778, decode.acc_seg: 96.9026, aux.loss_ce: 0.0396, aux.acc_seg: 96.1212, loss: 0.1174 2023-02-24 21:47:23,784 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 1 day, 7:44:38, time: 1.049, data_time: 0.071, memory: 19374, decode.loss_ce: 0.0746, decode.acc_seg: 97.0553, aux.loss_ce: 0.0391, aux.acc_seg: 96.2313, loss: 0.1137 2023-02-24 21:48:12,964 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 1 day, 7:43:47, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0771, decode.acc_seg: 96.9307, aux.loss_ce: 0.0402, aux.acc_seg: 96.0691, loss: 0.1174 2023-02-24 21:49:02,186 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 1 day, 7:42:55, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0741, decode.acc_seg: 97.0563, aux.loss_ce: 0.0380, aux.acc_seg: 96.3248, loss: 0.1121 2023-02-24 21:49:51,798 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 1 day, 7:42:05, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0826, decode.acc_seg: 96.8020, aux.loss_ce: 0.0433, aux.acc_seg: 95.9848, loss: 0.1258 2023-02-24 21:50:41,777 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 1 day, 7:41:15, time: 1.000, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0866, decode.acc_seg: 96.7374, aux.loss_ce: 0.0396, aux.acc_seg: 96.2121, loss: 0.1262 2023-02-24 21:51:31,515 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 1 day, 7:40:25, time: 0.995, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0969, decode.acc_seg: 96.3731, aux.loss_ce: 0.0461, aux.acc_seg: 95.8727, loss: 0.1431 2023-02-24 21:52:20,780 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 1 day, 7:39:34, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0784, decode.acc_seg: 96.9891, aux.loss_ce: 0.0396, aux.acc_seg: 96.2316, loss: 0.1180 2023-02-24 21:53:09,940 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 1 day, 7:38:42, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0775, decode.acc_seg: 96.9591, aux.loss_ce: 0.0392, aux.acc_seg: 96.2138, loss: 0.1167 2023-02-24 21:54:01,424 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 1 day, 7:37:56, time: 1.030, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0799, decode.acc_seg: 96.8867, aux.loss_ce: 0.0402, aux.acc_seg: 96.1579, loss: 0.1202 2023-02-24 21:54:50,530 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 1 day, 7:37:05, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0778, decode.acc_seg: 96.9924, aux.loss_ce: 0.0418, aux.acc_seg: 96.0636, loss: 0.1196 2023-02-24 21:55:39,629 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 1 day, 7:36:13, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0772, decode.acc_seg: 96.9789, aux.loss_ce: 0.0407, aux.acc_seg: 96.1206, loss: 0.1180 2023-02-24 21:56:28,950 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 1 day, 7:35:22, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0818, decode.acc_seg: 96.8166, aux.loss_ce: 0.0422, aux.acc_seg: 95.9418, loss: 0.1240 2023-02-24 21:57:18,009 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 21:57:18,010 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 1 day, 7:34:30, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0749, decode.acc_seg: 97.0591, aux.loss_ce: 0.0384, aux.acc_seg: 96.2796, loss: 0.1133 2023-02-24 21:58:07,179 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 1 day, 7:33:38, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0809, decode.acc_seg: 96.9152, aux.loss_ce: 0.0421, aux.acc_seg: 96.0268, loss: 0.1230 2023-02-24 21:58:57,175 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 1 day, 7:32:49, time: 1.000, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0808, decode.acc_seg: 96.7834, aux.loss_ce: 0.0424, aux.acc_seg: 95.9327, loss: 0.1232 2023-02-24 21:59:49,843 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 1 day, 7:32:06, time: 1.053, data_time: 0.073, memory: 19374, decode.loss_ce: 0.0747, decode.acc_seg: 97.1009, aux.loss_ce: 0.0392, aux.acc_seg: 96.2618, loss: 0.1139 2023-02-24 22:00:39,120 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 1 day, 7:31:14, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0839, decode.acc_seg: 96.7697, aux.loss_ce: 0.0436, aux.acc_seg: 95.9050, loss: 0.1275 2023-02-24 22:01:28,513 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 1 day, 7:30:23, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0776, decode.acc_seg: 96.9234, aux.loss_ce: 0.0401, aux.acc_seg: 96.0788, loss: 0.1177 2023-02-24 22:02:18,020 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 1 day, 7:29:33, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0717, decode.acc_seg: 97.1884, aux.loss_ce: 0.0390, aux.acc_seg: 96.2641, loss: 0.1106 2023-02-24 22:03:07,313 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 1 day, 7:28:42, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0813, decode.acc_seg: 96.8828, aux.loss_ce: 0.0397, aux.acc_seg: 96.2363, loss: 0.1210 2023-02-24 22:03:56,899 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 1 day, 7:27:51, time: 0.992, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0746, decode.acc_seg: 97.0690, aux.loss_ce: 0.0385, aux.acc_seg: 96.2819, loss: 0.1131 2023-02-24 22:04:46,052 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 1 day, 7:26:59, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0745, decode.acc_seg: 97.0618, aux.loss_ce: 0.0392, aux.acc_seg: 96.2458, loss: 0.1137 2023-02-24 22:05:35,089 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 1 day, 7:26:08, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0800, decode.acc_seg: 96.8187, aux.loss_ce: 0.0417, aux.acc_seg: 95.9970, loss: 0.1217 2023-02-24 22:06:27,925 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 1 day, 7:25:25, time: 1.057, data_time: 0.077, memory: 19374, decode.loss_ce: 0.0727, decode.acc_seg: 97.1142, aux.loss_ce: 0.0384, aux.acc_seg: 96.2783, loss: 0.1111 2023-02-24 22:07:17,001 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 1 day, 7:24:33, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0711, decode.acc_seg: 97.1988, aux.loss_ce: 0.0384, aux.acc_seg: 96.2413, loss: 0.1095 2023-02-24 22:08:06,072 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 1 day, 7:23:41, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.2447, aux.loss_ce: 0.0377, aux.acc_seg: 96.4073, loss: 0.1087 2023-02-24 22:08:55,242 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 1 day, 7:22:50, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0780, decode.acc_seg: 96.9503, aux.loss_ce: 0.0408, aux.acc_seg: 96.1104, loss: 0.1187 2023-02-24 22:09:44,514 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 1 day, 7:21:59, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0752, decode.acc_seg: 97.0460, aux.loss_ce: 0.0393, aux.acc_seg: 96.2194, loss: 0.1145 2023-02-24 22:10:33,858 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 1 day, 7:21:08, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0714, decode.acc_seg: 97.1975, aux.loss_ce: 0.0387, aux.acc_seg: 96.3134, loss: 0.1101 2023-02-24 22:11:22,956 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 1 day, 7:20:16, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0788, decode.acc_seg: 96.9602, aux.loss_ce: 0.0421, aux.acc_seg: 96.0764, loss: 0.1208 2023-02-24 22:12:14,576 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 1 day, 7:19:30, time: 1.032, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0758, decode.acc_seg: 97.0347, aux.loss_ce: 0.0378, aux.acc_seg: 96.3985, loss: 0.1136 2023-02-24 22:13:03,832 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 1 day, 7:18:39, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0746, decode.acc_seg: 97.1036, aux.loss_ce: 0.0381, aux.acc_seg: 96.4023, loss: 0.1128 2023-02-24 22:13:53,245 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:13:53,246 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 1 day, 7:17:48, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.2276, aux.loss_ce: 0.0371, aux.acc_seg: 96.4342, loss: 0.1081 2023-02-24 22:14:42,463 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 1 day, 7:16:57, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0748, decode.acc_seg: 97.0366, aux.loss_ce: 0.0381, aux.acc_seg: 96.2633, loss: 0.1129 2023-02-24 22:15:32,544 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 1 day, 7:16:07, time: 1.002, data_time: 0.023, memory: 19374, decode.loss_ce: 0.0717, decode.acc_seg: 97.2016, aux.loss_ce: 0.0390, aux.acc_seg: 96.2856, loss: 0.1107 2023-02-24 22:16:22,436 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 1 day, 7:15:18, time: 0.998, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0753, decode.acc_seg: 97.0149, aux.loss_ce: 0.0381, aux.acc_seg: 96.2903, loss: 0.1135 2023-02-24 22:17:10,707 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 1 day, 7:14:24, time: 0.965, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0729, decode.acc_seg: 97.1077, aux.loss_ce: 0.0387, aux.acc_seg: 96.2565, loss: 0.1115 2023-02-24 22:18:01,524 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 1 day, 7:13:36, time: 1.016, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0736, decode.acc_seg: 97.0860, aux.loss_ce: 0.0377, aux.acc_seg: 96.3412, loss: 0.1114 2023-02-24 22:18:50,447 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 1 day, 7:12:44, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0768, decode.acc_seg: 96.9965, aux.loss_ce: 0.0388, aux.acc_seg: 96.2942, loss: 0.1156 2023-02-24 22:19:39,618 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 1 day, 7:11:53, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.1325, aux.loss_ce: 0.0383, aux.acc_seg: 96.3009, loss: 0.1104 2023-02-24 22:20:28,757 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 1 day, 7:11:01, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0743, decode.acc_seg: 97.0905, aux.loss_ce: 0.0393, aux.acc_seg: 96.2454, loss: 0.1136 2023-02-24 22:21:18,159 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 1 day, 7:10:10, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0755, decode.acc_seg: 97.0322, aux.loss_ce: 0.0390, aux.acc_seg: 96.2235, loss: 0.1145 2023-02-24 22:22:07,580 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 1 day, 7:09:20, time: 0.988, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0781, decode.acc_seg: 96.9637, aux.loss_ce: 0.0397, aux.acc_seg: 96.2036, loss: 0.1178 2023-02-24 22:22:57,407 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 1 day, 7:08:30, time: 0.997, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0753, decode.acc_seg: 97.0280, aux.loss_ce: 0.0392, aux.acc_seg: 96.2115, loss: 0.1145 2023-02-24 22:23:46,709 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 1 day, 7:07:39, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0707, decode.acc_seg: 97.1958, aux.loss_ce: 0.0372, aux.acc_seg: 96.3627, loss: 0.1078 2023-02-24 22:24:38,416 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 1 day, 7:06:53, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0824, decode.acc_seg: 96.8010, aux.loss_ce: 0.0404, aux.acc_seg: 96.1539, loss: 0.1228 2023-02-24 22:25:27,776 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 1 day, 7:06:02, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0749, decode.acc_seg: 97.0855, aux.loss_ce: 0.0387, aux.acc_seg: 96.2900, loss: 0.1136 2023-02-24 22:26:17,562 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 1 day, 7:05:12, time: 0.996, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0737, decode.acc_seg: 97.1038, aux.loss_ce: 0.0376, aux.acc_seg: 96.3834, loss: 0.1113 2023-02-24 22:27:06,885 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 1 day, 7:04:21, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0728, decode.acc_seg: 97.1028, aux.loss_ce: 0.0380, aux.acc_seg: 96.3227, loss: 0.1108 2023-02-24 22:27:56,150 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 1 day, 7:03:30, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0694, decode.acc_seg: 97.2921, aux.loss_ce: 0.0381, aux.acc_seg: 96.3464, loss: 0.1075 2023-02-24 22:28:45,418 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 1 day, 7:02:39, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0735, decode.acc_seg: 97.0908, aux.loss_ce: 0.0367, aux.acc_seg: 96.3999, loss: 0.1102 2023-02-24 22:29:34,528 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 1 day, 7:01:47, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.0952, aux.loss_ce: 0.0383, aux.acc_seg: 96.3023, loss: 0.1108 2023-02-24 22:30:26,024 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-02-24 22:30:32,323 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:30:32,325 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 1 day, 7:01:16, time: 1.156, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0828, decode.acc_seg: 96.8411, aux.loss_ce: 0.0423, aux.acc_seg: 96.0615, loss: 0.1251 2023-02-24 22:32:01,762 - mmseg - INFO - per class results: 2023-02-24 22:32:01,767 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.51 | 99.18 | | sidewalk | 87.53 | 93.1 | | building | 93.68 | 97.13 | | wall | 61.78 | 80.62 | | fence | 65.68 | 75.75 | | pole | 70.76 | 83.35 | | traffic light | 74.65 | 83.71 | | traffic sign | 83.7 | 90.37 | | vegetation | 93.1 | 96.09 | | terrain | 67.22 | 73.69 | | sky | 93.8 | 99.1 | | person | 85.12 | 93.79 | | rider | 65.4 | 76.31 | | car | 96.29 | 98.05 | | truck | 89.17 | 93.29 | | bus | 93.5 | 95.8 | | train | 86.45 | 88.9 | | motorcycle | 74.16 | 84.02 | | bicycle | 81.36 | 89.37 | +---------------+-------+-------+ 2023-02-24 22:32:01,767 - mmseg - INFO - Summary: 2023-02-24 22:32:01,768 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 96.68 | 82.2 | 89.03 | +-------+------+-------+ 2023-02-24 22:32:01,773 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_32000.pth was removed 2023-02-24 22:32:08,072 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2023-02-24 22:32:08,073 - mmseg - INFO - Best mIoU is 0.8220 at 48000 iter. 2023-02-24 22:32:08,073 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:32:08,074 - mmseg - INFO - Iter(val) [125] aAcc: 0.9668, mIoU: 0.8220, mAcc: 0.8903, IoU.road: 0.9851, IoU.sidewalk: 0.8753, IoU.building: 0.9368, IoU.wall: 0.6178, IoU.fence: 0.6568, IoU.pole: 0.7076, IoU.traffic light: 0.7465, IoU.traffic sign: 0.8370, IoU.vegetation: 0.9310, IoU.terrain: 0.6722, IoU.sky: 0.9380, IoU.person: 0.8512, IoU.rider: 0.6540, IoU.car: 0.9629, IoU.truck: 0.8917, IoU.bus: 0.9350, IoU.train: 0.8645, IoU.motorcycle: 0.7416, IoU.bicycle: 0.8136, Acc.road: 0.9918, Acc.sidewalk: 0.9310, Acc.building: 0.9713, Acc.wall: 0.8062, Acc.fence: 0.7575, Acc.pole: 0.8335, Acc.traffic light: 0.8371, Acc.traffic sign: 0.9037, Acc.vegetation: 0.9609, Acc.terrain: 0.7369, Acc.sky: 0.9910, Acc.person: 0.9379, Acc.rider: 0.7631, Acc.car: 0.9805, Acc.truck: 0.9329, Acc.bus: 0.9580, Acc.train: 0.8890, Acc.motorcycle: 0.8402, Acc.bicycle: 0.8937 2023-02-24 22:32:57,368 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 1 day, 7:04:08, time: 2.901, data_time: 1.923, memory: 19374, decode.loss_ce: 0.0734, decode.acc_seg: 97.1288, aux.loss_ce: 0.0374, aux.acc_seg: 96.3731, loss: 0.1108 2023-02-24 22:33:46,617 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 1 day, 7:03:16, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0750, decode.acc_seg: 97.0504, aux.loss_ce: 0.0396, aux.acc_seg: 96.1993, loss: 0.1146 2023-02-24 22:34:35,865 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 1 day, 7:02:24, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0701, decode.acc_seg: 97.1913, aux.loss_ce: 0.0370, aux.acc_seg: 96.4164, loss: 0.1071 2023-02-24 22:35:25,240 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 1 day, 7:01:33, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0742, decode.acc_seg: 97.0575, aux.loss_ce: 0.0388, aux.acc_seg: 96.2188, loss: 0.1130 2023-02-24 22:36:14,473 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 1 day, 7:00:42, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.2993, aux.loss_ce: 0.0359, aux.acc_seg: 96.5123, loss: 0.1040 2023-02-24 22:37:03,801 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 1 day, 6:59:50, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0711, decode.acc_seg: 97.1783, aux.loss_ce: 0.0366, aux.acc_seg: 96.4449, loss: 0.1077 2023-02-24 22:37:53,158 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 1 day, 6:58:59, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0705, decode.acc_seg: 97.1663, aux.loss_ce: 0.0373, aux.acc_seg: 96.4112, loss: 0.1077 2023-02-24 22:38:44,958 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 1 day, 6:58:13, time: 1.036, data_time: 0.061, memory: 19374, decode.loss_ce: 0.0741, decode.acc_seg: 97.0997, aux.loss_ce: 0.0378, aux.acc_seg: 96.3809, loss: 0.1119 2023-02-24 22:39:34,293 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 1 day, 6:57:22, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0708, decode.acc_seg: 97.2128, aux.loss_ce: 0.0363, aux.acc_seg: 96.4896, loss: 0.1070 2023-02-24 22:40:23,347 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 1 day, 6:56:30, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0855, decode.acc_seg: 96.7668, aux.loss_ce: 0.0412, aux.acc_seg: 96.0307, loss: 0.1267 2023-02-24 22:41:12,763 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 1 day, 6:55:39, time: 0.988, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0780, decode.acc_seg: 96.9767, aux.loss_ce: 0.0413, aux.acc_seg: 96.1096, loss: 0.1193 2023-02-24 22:42:01,905 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 1 day, 6:54:47, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0779, decode.acc_seg: 96.9530, aux.loss_ce: 0.0394, aux.acc_seg: 96.2253, loss: 0.1173 2023-02-24 22:42:50,890 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 1 day, 6:53:55, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0711, decode.acc_seg: 97.1650, aux.loss_ce: 0.0380, aux.acc_seg: 96.3126, loss: 0.1091 2023-02-24 22:43:39,818 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 1 day, 6:53:02, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0766, decode.acc_seg: 96.9614, aux.loss_ce: 0.0379, aux.acc_seg: 96.3604, loss: 0.1145 2023-02-24 22:44:31,872 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 1 day, 6:52:17, time: 1.041, data_time: 0.069, memory: 19374, decode.loss_ce: 0.0805, decode.acc_seg: 96.8474, aux.loss_ce: 0.0418, aux.acc_seg: 95.9797, loss: 0.1222 2023-02-24 22:45:20,860 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 1 day, 6:51:25, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0729, decode.acc_seg: 97.0960, aux.loss_ce: 0.0379, aux.acc_seg: 96.3415, loss: 0.1108 2023-02-24 22:46:10,373 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 1 day, 6:50:34, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0738, decode.acc_seg: 97.1340, aux.loss_ce: 0.0392, aux.acc_seg: 96.3195, loss: 0.1130 2023-02-24 22:46:59,538 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 1 day, 6:49:42, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0692, decode.acc_seg: 97.1970, aux.loss_ce: 0.0369, aux.acc_seg: 96.3525, loss: 0.1061 2023-02-24 22:47:48,900 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 1 day, 6:48:51, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0696, decode.acc_seg: 97.2353, aux.loss_ce: 0.0378, aux.acc_seg: 96.3468, loss: 0.1074 2023-02-24 22:48:38,196 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 22:48:38,196 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 1 day, 6:48:00, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0693, decode.acc_seg: 97.2373, aux.loss_ce: 0.0361, aux.acc_seg: 96.4808, loss: 0.1054 2023-02-24 22:49:27,727 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 1 day, 6:47:09, time: 0.990, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0714, decode.acc_seg: 97.2228, aux.loss_ce: 0.0375, aux.acc_seg: 96.4163, loss: 0.1089 2023-02-24 22:50:16,804 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 1 day, 6:46:17, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0731, decode.acc_seg: 97.1444, aux.loss_ce: 0.0379, aux.acc_seg: 96.3828, loss: 0.1109 2023-02-24 22:51:09,065 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 1 day, 6:45:32, time: 1.045, data_time: 0.067, memory: 19374, decode.loss_ce: 0.0755, decode.acc_seg: 97.0598, aux.loss_ce: 0.0381, aux.acc_seg: 96.3446, loss: 0.1136 2023-02-24 22:51:58,177 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 1 day, 6:44:40, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0732, decode.acc_seg: 97.1459, aux.loss_ce: 0.0395, aux.acc_seg: 96.1916, loss: 0.1127 2023-02-24 22:52:48,116 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 1 day, 6:43:50, time: 0.999, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0708, decode.acc_seg: 97.1942, aux.loss_ce: 0.0374, aux.acc_seg: 96.3829, loss: 0.1082 2023-02-24 22:53:37,498 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 1 day, 6:42:59, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.1840, aux.loss_ce: 0.0372, aux.acc_seg: 96.3812, loss: 0.1082 2023-02-24 22:54:26,812 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 1 day, 6:42:08, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0738, decode.acc_seg: 97.1149, aux.loss_ce: 0.0393, aux.acc_seg: 96.2222, loss: 0.1131 2023-02-24 22:55:16,197 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 1 day, 6:41:17, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.1385, aux.loss_ce: 0.0365, aux.acc_seg: 96.4753, loss: 0.1090 2023-02-24 22:56:05,586 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 1 day, 6:40:25, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0731, decode.acc_seg: 97.1113, aux.loss_ce: 0.0392, aux.acc_seg: 96.2229, loss: 0.1122 2023-02-24 22:56:57,811 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 1 day, 6:39:40, time: 1.045, data_time: 0.068, memory: 19374, decode.loss_ce: 0.0727, decode.acc_seg: 97.1282, aux.loss_ce: 0.0387, aux.acc_seg: 96.2631, loss: 0.1114 2023-02-24 22:57:46,961 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 1 day, 6:38:49, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0735, decode.acc_seg: 97.0604, aux.loss_ce: 0.0382, aux.acc_seg: 96.2225, loss: 0.1118 2023-02-24 22:58:36,538 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 1 day, 6:37:58, time: 0.992, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0752, decode.acc_seg: 97.0980, aux.loss_ce: 0.0383, aux.acc_seg: 96.3625, loss: 0.1135 2023-02-24 22:59:25,547 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 1 day, 6:37:06, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.1078, aux.loss_ce: 0.0374, aux.acc_seg: 96.3381, loss: 0.1099 2023-02-24 23:00:14,852 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 1 day, 6:36:15, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0693, decode.acc_seg: 97.2550, aux.loss_ce: 0.0350, aux.acc_seg: 96.6044, loss: 0.1043 2023-02-24 23:01:03,851 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 1 day, 6:35:23, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0673, decode.acc_seg: 97.3184, aux.loss_ce: 0.0364, aux.acc_seg: 96.4700, loss: 0.1037 2023-02-24 23:01:53,014 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 1 day, 6:34:31, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0763, decode.acc_seg: 96.9879, aux.loss_ce: 0.0393, aux.acc_seg: 96.1751, loss: 0.1156 2023-02-24 23:02:45,107 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 1 day, 6:33:46, time: 1.042, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.1289, aux.loss_ce: 0.0382, aux.acc_seg: 96.2303, loss: 0.1100 2023-02-24 23:03:34,353 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 1 day, 6:32:54, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0722, decode.acc_seg: 97.1144, aux.loss_ce: 0.0366, aux.acc_seg: 96.4285, loss: 0.1087 2023-02-24 23:04:23,710 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 1 day, 6:32:03, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.2210, aux.loss_ce: 0.0378, aux.acc_seg: 96.3687, loss: 0.1088 2023-02-24 23:05:13,062 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:05:13,062 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 1 day, 6:31:12, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0751, decode.acc_seg: 97.0246, aux.loss_ce: 0.0390, aux.acc_seg: 96.2275, loss: 0.1140 2023-02-24 23:06:02,340 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 1 day, 6:30:20, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0700, decode.acc_seg: 97.2005, aux.loss_ce: 0.0369, aux.acc_seg: 96.4169, loss: 0.1069 2023-02-24 23:06:51,397 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 1 day, 6:29:28, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0722, decode.acc_seg: 97.1638, aux.loss_ce: 0.0373, aux.acc_seg: 96.4197, loss: 0.1095 2023-02-24 23:07:40,803 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 1 day, 6:28:37, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0758, decode.acc_seg: 96.9830, aux.loss_ce: 0.0381, aux.acc_seg: 96.3013, loss: 0.1139 2023-02-24 23:08:29,981 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 1 day, 6:27:46, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0732, decode.acc_seg: 97.1033, aux.loss_ce: 0.0373, aux.acc_seg: 96.3709, loss: 0.1105 2023-02-24 23:09:21,828 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 1 day, 6:27:00, time: 1.037, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0721, decode.acc_seg: 97.1733, aux.loss_ce: 0.0375, aux.acc_seg: 96.4268, loss: 0.1096 2023-02-24 23:10:10,924 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 1 day, 6:26:08, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2532, aux.loss_ce: 0.0367, aux.acc_seg: 96.4527, loss: 0.1064 2023-02-24 23:11:00,210 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 1 day, 6:25:17, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0785, decode.acc_seg: 96.8825, aux.loss_ce: 0.0390, aux.acc_seg: 96.2140, loss: 0.1175 2023-02-24 23:11:49,329 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 1 day, 6:24:25, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0878, decode.acc_seg: 96.6728, aux.loss_ce: 0.0425, aux.acc_seg: 96.1353, loss: 0.1303 2023-02-24 23:12:38,411 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 1 day, 6:23:33, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0839, decode.acc_seg: 96.7409, aux.loss_ce: 0.0394, aux.acc_seg: 96.2191, loss: 0.1233 2023-02-24 23:13:27,912 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 1 day, 6:22:42, time: 0.990, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0789, decode.acc_seg: 96.9330, aux.loss_ce: 0.0404, aux.acc_seg: 96.1133, loss: 0.1193 2023-02-24 23:14:17,231 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 1 day, 6:21:51, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0721, decode.acc_seg: 97.1471, aux.loss_ce: 0.0372, aux.acc_seg: 96.3950, loss: 0.1093 2023-02-24 23:15:08,857 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 1 day, 6:21:05, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0706, decode.acc_seg: 97.2368, aux.loss_ce: 0.0368, aux.acc_seg: 96.4852, loss: 0.1073 2023-02-24 23:15:57,976 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 1 day, 6:20:13, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0685, decode.acc_seg: 97.2582, aux.loss_ce: 0.0356, aux.acc_seg: 96.4835, loss: 0.1041 2023-02-24 23:16:47,246 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 1 day, 6:19:22, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0760, decode.acc_seg: 96.9883, aux.loss_ce: 0.0387, aux.acc_seg: 96.2539, loss: 0.1147 2023-02-24 23:17:36,460 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 1 day, 6:18:30, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0776, decode.acc_seg: 96.9537, aux.loss_ce: 0.0422, aux.acc_seg: 95.9918, loss: 0.1198 2023-02-24 23:18:25,668 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 1 day, 6:17:39, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0701, decode.acc_seg: 97.2573, aux.loss_ce: 0.0383, aux.acc_seg: 96.3161, loss: 0.1085 2023-02-24 23:19:14,924 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 1 day, 6:16:47, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0694, decode.acc_seg: 97.2609, aux.loss_ce: 0.0353, aux.acc_seg: 96.5655, loss: 0.1047 2023-02-24 23:20:03,921 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 1 day, 6:15:55, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0732, decode.acc_seg: 97.0758, aux.loss_ce: 0.0381, aux.acc_seg: 96.2652, loss: 0.1113 2023-02-24 23:20:53,209 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 1 day, 6:15:04, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0731, decode.acc_seg: 97.0877, aux.loss_ce: 0.0398, aux.acc_seg: 96.1784, loss: 0.1129 2023-02-24 23:21:45,044 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:21:45,045 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 1 day, 6:14:18, time: 1.037, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0767, decode.acc_seg: 96.9296, aux.loss_ce: 0.0415, aux.acc_seg: 96.0319, loss: 0.1182 2023-02-24 23:22:34,554 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 1 day, 6:13:27, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0768, decode.acc_seg: 96.9708, aux.loss_ce: 0.0388, aux.acc_seg: 96.3206, loss: 0.1155 2023-02-24 23:23:23,675 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 1 day, 6:12:36, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0755, decode.acc_seg: 97.0214, aux.loss_ce: 0.0378, aux.acc_seg: 96.3356, loss: 0.1133 2023-02-24 23:24:13,151 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 1 day, 6:11:45, time: 0.990, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.1620, aux.loss_ce: 0.0362, aux.acc_seg: 96.5237, loss: 0.1087 2023-02-24 23:25:02,320 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 1 day, 6:10:53, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0678, decode.acc_seg: 97.3232, aux.loss_ce: 0.0371, aux.acc_seg: 96.4246, loss: 0.1049 2023-02-24 23:25:51,645 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 1 day, 6:10:02, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0806, decode.acc_seg: 96.7638, aux.loss_ce: 0.0411, aux.acc_seg: 96.0357, loss: 0.1216 2023-02-24 23:26:41,028 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 1 day, 6:09:11, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0743, decode.acc_seg: 97.0917, aux.loss_ce: 0.0387, aux.acc_seg: 96.2354, loss: 0.1130 2023-02-24 23:27:32,966 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 1 day, 6:08:25, time: 1.039, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0735, decode.acc_seg: 97.1015, aux.loss_ce: 0.0401, aux.acc_seg: 96.1525, loss: 0.1136 2023-02-24 23:28:22,248 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 1 day, 6:07:34, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0721, decode.acc_seg: 97.1682, aux.loss_ce: 0.0379, aux.acc_seg: 96.3515, loss: 0.1100 2023-02-24 23:29:11,251 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 1 day, 6:06:42, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0728, decode.acc_seg: 97.1129, aux.loss_ce: 0.0382, aux.acc_seg: 96.3298, loss: 0.1110 2023-02-24 23:30:00,661 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 1 day, 6:05:51, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.2581, aux.loss_ce: 0.0349, aux.acc_seg: 96.5686, loss: 0.1030 2023-02-24 23:30:49,827 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 1 day, 6:04:59, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0699, decode.acc_seg: 97.2080, aux.loss_ce: 0.0377, aux.acc_seg: 96.3072, loss: 0.1076 2023-02-24 23:31:39,290 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 1 day, 6:04:09, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0705, decode.acc_seg: 97.2190, aux.loss_ce: 0.0372, aux.acc_seg: 96.4216, loss: 0.1076 2023-02-24 23:32:28,595 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 1 day, 6:03:17, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0747, decode.acc_seg: 97.0396, aux.loss_ce: 0.0389, aux.acc_seg: 96.1948, loss: 0.1136 2023-02-24 23:33:18,298 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 1 day, 6:02:27, time: 0.994, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0690, decode.acc_seg: 97.2789, aux.loss_ce: 0.0367, aux.acc_seg: 96.4381, loss: 0.1057 2023-02-24 23:34:10,018 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 1 day, 6:01:41, time: 1.034, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2155, aux.loss_ce: 0.0364, aux.acc_seg: 96.4638, loss: 0.1061 2023-02-24 23:34:59,324 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 1 day, 6:00:49, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0802, decode.acc_seg: 96.8428, aux.loss_ce: 0.0415, aux.acc_seg: 95.9665, loss: 0.1218 2023-02-24 23:35:48,712 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 1 day, 5:59:58, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0736, decode.acc_seg: 97.0735, aux.loss_ce: 0.0391, aux.acc_seg: 96.1595, loss: 0.1127 2023-02-24 23:36:38,228 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 1 day, 5:59:08, time: 0.990, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0693, decode.acc_seg: 97.2692, aux.loss_ce: 0.0358, aux.acc_seg: 96.5367, loss: 0.1051 2023-02-24 23:37:27,498 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 1 day, 5:58:16, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0834, decode.acc_seg: 96.7090, aux.loss_ce: 0.0417, aux.acc_seg: 96.0211, loss: 0.1250 2023-02-24 23:38:16,805 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:38:16,805 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 1 day, 5:57:25, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0721, decode.acc_seg: 97.1510, aux.loss_ce: 0.0367, aux.acc_seg: 96.4884, loss: 0.1088 2023-02-24 23:39:06,205 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 1 day, 5:56:34, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2382, aux.loss_ce: 0.0368, aux.acc_seg: 96.4027, loss: 0.1066 2023-02-24 23:39:58,018 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 1 day, 5:55:48, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0699, decode.acc_seg: 97.2259, aux.loss_ce: 0.0363, aux.acc_seg: 96.4886, loss: 0.1061 2023-02-24 23:40:47,326 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 1 day, 5:54:57, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0714, decode.acc_seg: 97.1971, aux.loss_ce: 0.0375, aux.acc_seg: 96.3645, loss: 0.1089 2023-02-24 23:41:36,411 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 1 day, 5:54:05, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.1536, aux.loss_ce: 0.0370, aux.acc_seg: 96.3784, loss: 0.1089 2023-02-24 23:42:25,744 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 1 day, 5:53:14, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0716, decode.acc_seg: 97.1636, aux.loss_ce: 0.0369, aux.acc_seg: 96.4166, loss: 0.1084 2023-02-24 23:43:14,729 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 1 day, 5:52:22, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0724, decode.acc_seg: 97.1424, aux.loss_ce: 0.0377, aux.acc_seg: 96.3420, loss: 0.1101 2023-02-24 23:44:04,286 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 1 day, 5:51:31, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0716, decode.acc_seg: 97.1524, aux.loss_ce: 0.0359, aux.acc_seg: 96.5203, loss: 0.1075 2023-02-24 23:44:53,586 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 1 day, 5:50:40, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0699, decode.acc_seg: 97.1993, aux.loss_ce: 0.0355, aux.acc_seg: 96.5413, loss: 0.1054 2023-02-24 23:45:42,876 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 1 day, 5:49:49, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0748, decode.acc_seg: 97.0226, aux.loss_ce: 0.0395, aux.acc_seg: 96.1793, loss: 0.1143 2023-02-24 23:46:34,579 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 1 day, 5:49:03, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0727, decode.acc_seg: 97.1191, aux.loss_ce: 0.0369, aux.acc_seg: 96.4692, loss: 0.1096 2023-02-24 23:47:23,915 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 1 day, 5:48:12, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0783, decode.acc_seg: 96.9577, aux.loss_ce: 0.0404, aux.acc_seg: 96.1514, loss: 0.1187 2023-02-24 23:48:13,572 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 1 day, 5:47:21, time: 0.993, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.1497, aux.loss_ce: 0.0372, aux.acc_seg: 96.3735, loss: 0.1081 2023-02-24 23:49:02,952 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 1 day, 5:46:30, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0753, decode.acc_seg: 97.1020, aux.loss_ce: 0.0371, aux.acc_seg: 96.4653, loss: 0.1125 2023-02-24 23:49:51,735 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 1 day, 5:45:38, time: 0.976, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0714, decode.acc_seg: 97.1647, aux.loss_ce: 0.0388, aux.acc_seg: 96.2119, loss: 0.1102 2023-02-24 23:50:40,379 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 1 day, 5:44:45, time: 0.973, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0664, decode.acc_seg: 97.3825, aux.loss_ce: 0.0344, aux.acc_seg: 96.6775, loss: 0.1007 2023-02-24 23:51:29,149 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 1 day, 5:43:53, time: 0.975, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.3299, aux.loss_ce: 0.0378, aux.acc_seg: 96.2899, loss: 0.1046 2023-02-24 23:52:20,910 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 1 day, 5:43:07, time: 1.035, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2079, aux.loss_ce: 0.0380, aux.acc_seg: 96.2621, loss: 0.1076 2023-02-24 23:53:10,083 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 1 day, 5:42:15, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0690, decode.acc_seg: 97.2532, aux.loss_ce: 0.0383, aux.acc_seg: 96.3772, loss: 0.1074 2023-02-24 23:53:59,445 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 1 day, 5:41:24, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0703, decode.acc_seg: 97.2302, aux.loss_ce: 0.0380, aux.acc_seg: 96.4285, loss: 0.1083 2023-02-24 23:54:48,710 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-24 23:54:48,710 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 1 day, 5:40:33, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0678, decode.acc_seg: 97.2712, aux.loss_ce: 0.0363, aux.acc_seg: 96.4006, loss: 0.1041 2023-02-24 23:55:37,837 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 1 day, 5:39:41, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0723, decode.acc_seg: 97.1065, aux.loss_ce: 0.0358, aux.acc_seg: 96.5053, loss: 0.1081 2023-02-24 23:56:27,157 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 1 day, 5:38:50, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0735, decode.acc_seg: 97.1276, aux.loss_ce: 0.0383, aux.acc_seg: 96.3299, loss: 0.1118 2023-02-24 23:57:16,591 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 1 day, 5:37:59, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0749, decode.acc_seg: 97.0309, aux.loss_ce: 0.0384, aux.acc_seg: 96.2989, loss: 0.1132 2023-02-24 23:58:08,818 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 1 day, 5:37:14, time: 1.045, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0708, decode.acc_seg: 97.2047, aux.loss_ce: 0.0386, aux.acc_seg: 96.3173, loss: 0.1095 2023-02-24 23:58:57,796 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 1 day, 5:36:22, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0677, decode.acc_seg: 97.2765, aux.loss_ce: 0.0353, aux.acc_seg: 96.5312, loss: 0.1029 2023-02-24 23:59:46,740 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 1 day, 5:35:31, time: 0.979, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.3370, aux.loss_ce: 0.0362, aux.acc_seg: 96.4995, loss: 0.1035 2023-02-25 00:00:36,032 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 1 day, 5:34:39, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.2068, aux.loss_ce: 0.0363, aux.acc_seg: 96.5222, loss: 0.1083 2023-02-25 00:01:25,472 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 1 day, 5:33:48, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0734, decode.acc_seg: 97.0870, aux.loss_ce: 0.0381, aux.acc_seg: 96.3216, loss: 0.1114 2023-02-25 00:02:14,910 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 1 day, 5:32:58, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.1566, aux.loss_ce: 0.0366, aux.acc_seg: 96.4391, loss: 0.1085 2023-02-25 00:03:04,306 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 1 day, 5:32:07, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0690, decode.acc_seg: 97.2060, aux.loss_ce: 0.0359, aux.acc_seg: 96.4827, loss: 0.1049 2023-02-25 00:03:53,706 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 1 day, 5:31:16, time: 0.988, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0712, decode.acc_seg: 97.1698, aux.loss_ce: 0.0360, aux.acc_seg: 96.5400, loss: 0.1072 2023-02-25 00:04:45,369 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 1 day, 5:30:29, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0700, decode.acc_seg: 97.2153, aux.loss_ce: 0.0379, aux.acc_seg: 96.2934, loss: 0.1079 2023-02-25 00:05:34,700 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 1 day, 5:29:38, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4450, aux.loss_ce: 0.0352, aux.acc_seg: 96.5460, loss: 0.0984 2023-02-25 00:06:23,908 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 1 day, 5:28:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0682, decode.acc_seg: 97.2630, aux.loss_ce: 0.0355, aux.acc_seg: 96.4956, loss: 0.1037 2023-02-25 00:07:13,142 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 1 day, 5:27:56, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0687, decode.acc_seg: 97.2644, aux.loss_ce: 0.0363, aux.acc_seg: 96.4501, loss: 0.1050 2023-02-25 00:08:02,669 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 1 day, 5:27:05, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0793, decode.acc_seg: 96.9144, aux.loss_ce: 0.0407, aux.acc_seg: 96.1040, loss: 0.1200 2023-02-25 00:08:51,927 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 1 day, 5:26:14, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0746, decode.acc_seg: 97.0641, aux.loss_ce: 0.0388, aux.acc_seg: 96.2209, loss: 0.1134 2023-02-25 00:09:41,202 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 1 day, 5:25:22, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.1564, aux.loss_ce: 0.0374, aux.acc_seg: 96.3804, loss: 0.1094 2023-02-25 00:10:32,797 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 1 day, 5:24:36, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2245, aux.loss_ce: 0.0371, aux.acc_seg: 96.3668, loss: 0.1068 2023-02-25 00:11:22,082 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:11:22,082 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 1 day, 5:23:45, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.2661, aux.loss_ce: 0.0367, aux.acc_seg: 96.4803, loss: 0.1066 2023-02-25 00:12:11,240 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 1 day, 5:22:53, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.2443, aux.loss_ce: 0.0361, aux.acc_seg: 96.4693, loss: 0.1049 2023-02-25 00:13:00,378 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 1 day, 5:22:02, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0677, decode.acc_seg: 97.3024, aux.loss_ce: 0.0352, aux.acc_seg: 96.5959, loss: 0.1029 2023-02-25 00:13:49,432 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 1 day, 5:21:10, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0651, decode.acc_seg: 97.4207, aux.loss_ce: 0.0360, aux.acc_seg: 96.5124, loss: 0.1010 2023-02-25 00:14:38,984 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 1 day, 5:20:20, time: 0.991, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0690, decode.acc_seg: 97.2586, aux.loss_ce: 0.0374, aux.acc_seg: 96.3784, loss: 0.1064 2023-02-25 00:15:28,289 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 1 day, 5:19:28, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0792, decode.acc_seg: 96.8321, aux.loss_ce: 0.0408, aux.acc_seg: 96.0568, loss: 0.1200 2023-02-25 00:16:17,457 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 1 day, 5:18:37, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0709, decode.acc_seg: 97.2159, aux.loss_ce: 0.0369, aux.acc_seg: 96.4104, loss: 0.1078 2023-02-25 00:17:09,139 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 1 day, 5:17:51, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0719, decode.acc_seg: 97.1261, aux.loss_ce: 0.0379, aux.acc_seg: 96.3590, loss: 0.1098 2023-02-25 00:17:58,452 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 1 day, 5:17:00, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0675, decode.acc_seg: 97.3258, aux.loss_ce: 0.0356, aux.acc_seg: 96.5440, loss: 0.1032 2023-02-25 00:18:47,702 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 1 day, 5:16:08, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0680, decode.acc_seg: 97.2951, aux.loss_ce: 0.0356, aux.acc_seg: 96.5330, loss: 0.1036 2023-02-25 00:19:36,752 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 1 day, 5:15:17, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.1469, aux.loss_ce: 0.0383, aux.acc_seg: 96.2850, loss: 0.1108 2023-02-25 00:20:26,095 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 1 day, 5:14:26, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0741, decode.acc_seg: 97.0259, aux.loss_ce: 0.0378, aux.acc_seg: 96.2840, loss: 0.1120 2023-02-25 00:21:15,233 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 1 day, 5:13:34, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0747, decode.acc_seg: 97.0863, aux.loss_ce: 0.0378, aux.acc_seg: 96.3479, loss: 0.1125 2023-02-25 00:22:04,756 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 1 day, 5:12:44, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0696, decode.acc_seg: 97.2409, aux.loss_ce: 0.0356, aux.acc_seg: 96.5508, loss: 0.1051 2023-02-25 00:22:56,666 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 1 day, 5:11:58, time: 1.039, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0754, decode.acc_seg: 97.0687, aux.loss_ce: 0.0402, aux.acc_seg: 96.1858, loss: 0.1157 2023-02-25 00:23:45,908 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 1 day, 5:11:06, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3754, aux.loss_ce: 0.0348, aux.acc_seg: 96.5882, loss: 0.1004 2023-02-25 00:24:35,255 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 1 day, 5:10:15, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.2213, aux.loss_ce: 0.0366, aux.acc_seg: 96.4122, loss: 0.1065 2023-02-25 00:25:24,638 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 1 day, 5:09:24, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0747, decode.acc_seg: 97.0540, aux.loss_ce: 0.0375, aux.acc_seg: 96.3932, loss: 0.1122 2023-02-25 00:26:14,296 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 1 day, 5:08:34, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0785, decode.acc_seg: 96.9082, aux.loss_ce: 0.0382, aux.acc_seg: 96.3391, loss: 0.1167 2023-02-25 00:27:03,664 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 1 day, 5:07:43, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0757, decode.acc_seg: 97.0224, aux.loss_ce: 0.0388, aux.acc_seg: 96.2326, loss: 0.1145 2023-02-25 00:27:53,000 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:27:53,000 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 1 day, 5:06:52, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0783, decode.acc_seg: 96.8950, aux.loss_ce: 0.0389, aux.acc_seg: 96.2465, loss: 0.1171 2023-02-25 00:28:42,421 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 1 day, 5:06:01, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0735, decode.acc_seg: 97.1541, aux.loss_ce: 0.0395, aux.acc_seg: 96.2992, loss: 0.1130 2023-02-25 00:29:34,227 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 1 day, 5:05:15, time: 1.036, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0771, decode.acc_seg: 97.0146, aux.loss_ce: 0.0387, aux.acc_seg: 96.3178, loss: 0.1158 2023-02-25 00:30:23,819 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 1 day, 5:04:24, time: 0.992, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.3023, aux.loss_ce: 0.0366, aux.acc_seg: 96.4774, loss: 0.1046 2023-02-25 00:31:13,198 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 1 day, 5:03:33, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3280, aux.loss_ce: 0.0367, aux.acc_seg: 96.4061, loss: 0.1036 2023-02-25 00:32:02,648 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 1 day, 5:02:43, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0745, decode.acc_seg: 97.0945, aux.loss_ce: 0.0370, aux.acc_seg: 96.4404, loss: 0.1115 2023-02-25 00:32:52,004 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 1 day, 5:01:52, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0714, decode.acc_seg: 97.2142, aux.loss_ce: 0.0370, aux.acc_seg: 96.4505, loss: 0.1084 2023-02-25 00:33:41,362 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 1 day, 5:01:01, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0677, decode.acc_seg: 97.3243, aux.loss_ce: 0.0356, aux.acc_seg: 96.5590, loss: 0.1033 2023-02-25 00:34:30,740 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 1 day, 5:00:10, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.5076, aux.loss_ce: 0.0339, aux.acc_seg: 96.6955, loss: 0.0963 2023-02-25 00:35:22,484 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 1 day, 4:59:23, time: 1.035, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0703, decode.acc_seg: 97.2246, aux.loss_ce: 0.0378, aux.acc_seg: 96.3172, loss: 0.1080 2023-02-25 00:36:11,946 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 1 day, 4:58:33, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0670, decode.acc_seg: 97.3004, aux.loss_ce: 0.0349, aux.acc_seg: 96.5477, loss: 0.1019 2023-02-25 00:37:01,329 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 1 day, 4:57:42, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0723, decode.acc_seg: 97.1031, aux.loss_ce: 0.0379, aux.acc_seg: 96.2707, loss: 0.1102 2023-02-25 00:37:50,672 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 1 day, 4:56:51, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.2331, aux.loss_ce: 0.0366, aux.acc_seg: 96.4359, loss: 0.1064 2023-02-25 00:38:40,019 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 1 day, 4:56:00, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0739, decode.acc_seg: 97.0648, aux.loss_ce: 0.0383, aux.acc_seg: 96.2733, loss: 0.1122 2023-02-25 00:39:29,334 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 1 day, 4:55:09, time: 0.986, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0694, decode.acc_seg: 97.2223, aux.loss_ce: 0.0352, aux.acc_seg: 96.5675, loss: 0.1046 2023-02-25 00:40:18,730 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 1 day, 4:54:18, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0684, decode.acc_seg: 97.2592, aux.loss_ce: 0.0348, aux.acc_seg: 96.5786, loss: 0.1032 2023-02-25 00:41:07,994 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 1 day, 4:53:27, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.1661, aux.loss_ce: 0.0358, aux.acc_seg: 96.4868, loss: 0.1068 2023-02-25 00:42:00,083 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 1 day, 4:52:41, time: 1.042, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0701, decode.acc_seg: 97.1753, aux.loss_ce: 0.0386, aux.acc_seg: 96.2174, loss: 0.1087 2023-02-25 00:42:49,725 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 1 day, 4:51:51, time: 0.993, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0687, decode.acc_seg: 97.2193, aux.loss_ce: 0.0368, aux.acc_seg: 96.3914, loss: 0.1056 2023-02-25 00:43:39,684 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 1 day, 4:51:01, time: 0.999, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0725, decode.acc_seg: 97.1481, aux.loss_ce: 0.0369, aux.acc_seg: 96.4679, loss: 0.1094 2023-02-25 00:44:29,390 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 00:44:29,391 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 1 day, 4:50:10, time: 0.994, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0710, decode.acc_seg: 97.2159, aux.loss_ce: 0.0376, aux.acc_seg: 96.3939, loss: 0.1086 2023-02-25 00:45:18,632 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 1 day, 4:49:19, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0682, decode.acc_seg: 97.2221, aux.loss_ce: 0.0357, aux.acc_seg: 96.4772, loss: 0.1039 2023-02-25 00:46:07,671 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 1 day, 4:48:28, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0680, decode.acc_seg: 97.3019, aux.loss_ce: 0.0354, aux.acc_seg: 96.5738, loss: 0.1034 2023-02-25 00:46:56,679 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 1 day, 4:47:36, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0679, decode.acc_seg: 97.2624, aux.loss_ce: 0.0362, aux.acc_seg: 96.4321, loss: 0.1041 2023-02-25 00:47:48,683 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 1 day, 4:46:50, time: 1.040, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0649, decode.acc_seg: 97.4345, aux.loss_ce: 0.0346, aux.acc_seg: 96.6277, loss: 0.0995 2023-02-25 00:48:38,164 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 1 day, 4:45:59, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0687, decode.acc_seg: 97.3564, aux.loss_ce: 0.0373, aux.acc_seg: 96.4668, loss: 0.1060 2023-02-25 00:49:27,323 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 1 day, 4:45:08, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.3177, aux.loss_ce: 0.0359, aux.acc_seg: 96.5102, loss: 0.1027 2023-02-25 00:50:16,726 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 1 day, 4:44:17, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0705, decode.acc_seg: 97.2052, aux.loss_ce: 0.0354, aux.acc_seg: 96.5460, loss: 0.1058 2023-02-25 00:51:06,206 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 1 day, 4:43:27, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0657, decode.acc_seg: 97.3405, aux.loss_ce: 0.0357, aux.acc_seg: 96.4580, loss: 0.1015 2023-02-25 00:51:55,272 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 1 day, 4:42:35, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0658, decode.acc_seg: 97.4093, aux.loss_ce: 0.0354, aux.acc_seg: 96.5722, loss: 0.1012 2023-02-25 00:52:44,473 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 1 day, 4:41:44, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.0848, aux.loss_ce: 0.0379, aux.acc_seg: 96.2752, loss: 0.1097 2023-02-25 00:53:36,495 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 1 day, 4:40:58, time: 1.041, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0704, decode.acc_seg: 97.1680, aux.loss_ce: 0.0367, aux.acc_seg: 96.4115, loss: 0.1071 2023-02-25 00:54:25,630 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 1 day, 4:40:07, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0672, decode.acc_seg: 97.2724, aux.loss_ce: 0.0352, aux.acc_seg: 96.5206, loss: 0.1025 2023-02-25 00:55:15,296 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 1 day, 4:39:16, time: 0.993, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0657, decode.acc_seg: 97.3834, aux.loss_ce: 0.0341, aux.acc_seg: 96.6643, loss: 0.0997 2023-02-25 00:56:04,400 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 1 day, 4:38:25, time: 0.982, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0709, decode.acc_seg: 97.2161, aux.loss_ce: 0.0364, aux.acc_seg: 96.5049, loss: 0.1072 2023-02-25 00:56:53,710 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 1 day, 4:37:34, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0703, decode.acc_seg: 97.2311, aux.loss_ce: 0.0360, aux.acc_seg: 96.6043, loss: 0.1062 2023-02-25 00:57:42,832 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 1 day, 4:36:43, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.1076, decode.acc_seg: 96.1787, aux.loss_ce: 0.0482, aux.acc_seg: 95.5289, loss: 0.1558 2023-02-25 00:58:32,089 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 1 day, 4:35:52, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0813, decode.acc_seg: 96.8195, aux.loss_ce: 0.0402, aux.acc_seg: 96.1327, loss: 0.1215 2023-02-25 00:59:20,982 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 1 day, 4:35:00, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0834, decode.acc_seg: 96.7401, aux.loss_ce: 0.0423, aux.acc_seg: 95.9159, loss: 0.1258 2023-02-25 01:00:12,722 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 1 day, 4:34:13, time: 1.035, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0752, decode.acc_seg: 97.1091, aux.loss_ce: 0.0394, aux.acc_seg: 96.2482, loss: 0.1145 2023-02-25 01:01:01,862 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:01:01,863 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 1 day, 4:33:22, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.1486, aux.loss_ce: 0.0375, aux.acc_seg: 96.3715, loss: 0.1095 2023-02-25 01:01:51,152 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 1 day, 4:32:31, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.3011, aux.loss_ce: 0.0371, aux.acc_seg: 96.3297, loss: 0.1045 2023-02-25 01:02:40,447 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 1 day, 4:31:40, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.2419, aux.loss_ce: 0.0352, aux.acc_seg: 96.5955, loss: 0.1049 2023-02-25 01:03:29,723 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 1 day, 4:30:49, time: 0.985, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0711, decode.acc_seg: 97.1548, aux.loss_ce: 0.0376, aux.acc_seg: 96.3409, loss: 0.1086 2023-02-25 01:04:19,056 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 1 day, 4:29:58, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0659, decode.acc_seg: 97.3769, aux.loss_ce: 0.0360, aux.acc_seg: 96.5278, loss: 0.1019 2023-02-25 01:05:08,291 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 1 day, 4:29:07, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2401, aux.loss_ce: 0.0364, aux.acc_seg: 96.4806, loss: 0.1061 2023-02-25 01:05:59,813 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 1 day, 4:28:20, time: 1.030, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0682, decode.acc_seg: 97.3150, aux.loss_ce: 0.0369, aux.acc_seg: 96.4115, loss: 0.1051 2023-02-25 01:06:48,847 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 1 day, 4:27:28, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0651, decode.acc_seg: 97.3838, aux.loss_ce: 0.0350, aux.acc_seg: 96.6029, loss: 0.1001 2023-02-25 01:07:38,230 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 1 day, 4:26:38, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0648, decode.acc_seg: 97.4048, aux.loss_ce: 0.0341, aux.acc_seg: 96.6522, loss: 0.0989 2023-02-25 01:08:27,404 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 1 day, 4:25:46, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0696, decode.acc_seg: 97.2502, aux.loss_ce: 0.0352, aux.acc_seg: 96.5742, loss: 0.1049 2023-02-25 01:09:16,670 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 1 day, 4:24:55, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.2497, aux.loss_ce: 0.0358, aux.acc_seg: 96.5094, loss: 0.1046 2023-02-25 01:10:05,777 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 1 day, 4:24:04, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0689, decode.acc_seg: 97.2183, aux.loss_ce: 0.0361, aux.acc_seg: 96.4407, loss: 0.1051 2023-02-25 01:10:55,462 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 1 day, 4:23:14, time: 0.994, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0731, decode.acc_seg: 97.1352, aux.loss_ce: 0.0374, aux.acc_seg: 96.3942, loss: 0.1105 2023-02-25 01:11:45,189 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 1 day, 4:22:24, time: 0.995, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.1975, aux.loss_ce: 0.0359, aux.acc_seg: 96.4707, loss: 0.1057 2023-02-25 01:12:37,056 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 1 day, 4:21:37, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0672, decode.acc_seg: 97.3099, aux.loss_ce: 0.0349, aux.acc_seg: 96.5681, loss: 0.1021 2023-02-25 01:13:26,271 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 1 day, 4:20:46, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0677, decode.acc_seg: 97.2635, aux.loss_ce: 0.0345, aux.acc_seg: 96.5891, loss: 0.1022 2023-02-25 01:14:15,580 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 1 day, 4:19:55, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.2830, aux.loss_ce: 0.0360, aux.acc_seg: 96.4975, loss: 0.1041 2023-02-25 01:15:05,304 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 1 day, 4:19:05, time: 0.994, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.2426, aux.loss_ce: 0.0361, aux.acc_seg: 96.4855, loss: 0.1060 2023-02-25 01:15:54,629 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 1 day, 4:18:14, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0676, decode.acc_seg: 97.2658, aux.loss_ce: 0.0365, aux.acc_seg: 96.4292, loss: 0.1041 2023-02-25 01:16:44,184 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 1 day, 4:17:23, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0709, decode.acc_seg: 97.2233, aux.loss_ce: 0.0389, aux.acc_seg: 96.3235, loss: 0.1098 2023-02-25 01:17:33,400 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:17:33,401 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 1 day, 4:16:32, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.2833, aux.loss_ce: 0.0364, aux.acc_seg: 96.4024, loss: 0.1045 2023-02-25 01:18:25,256 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 1 day, 4:15:46, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0655, decode.acc_seg: 97.3630, aux.loss_ce: 0.0344, aux.acc_seg: 96.6173, loss: 0.0999 2023-02-25 01:19:14,693 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 1 day, 4:14:55, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.3142, aux.loss_ce: 0.0344, aux.acc_seg: 96.6280, loss: 0.1018 2023-02-25 01:20:04,385 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 1 day, 4:14:05, time: 0.994, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0704, decode.acc_seg: 97.1854, aux.loss_ce: 0.0361, aux.acc_seg: 96.4459, loss: 0.1065 2023-02-25 01:20:53,463 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 1 day, 4:13:14, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0610, decode.acc_seg: 97.5472, aux.loss_ce: 0.0343, aux.acc_seg: 96.6627, loss: 0.0953 2023-02-25 01:21:42,928 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 1 day, 4:12:23, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.2694, aux.loss_ce: 0.0344, aux.acc_seg: 96.5905, loss: 0.1018 2023-02-25 01:22:31,910 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 1 day, 4:11:31, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3142, aux.loss_ce: 0.0360, aux.acc_seg: 96.4525, loss: 0.1029 2023-02-25 01:23:20,416 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 1 day, 4:10:39, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0731, decode.acc_seg: 97.1927, aux.loss_ce: 0.0377, aux.acc_seg: 96.3648, loss: 0.1108 2023-02-25 01:24:09,158 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 1 day, 4:09:47, time: 0.975, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0765, decode.acc_seg: 97.0491, aux.loss_ce: 0.0375, aux.acc_seg: 96.3523, loss: 0.1140 2023-02-25 01:25:00,824 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 1 day, 4:09:00, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.3030, aux.loss_ce: 0.0357, aux.acc_seg: 96.5083, loss: 0.1031 2023-02-25 01:25:50,629 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 1 day, 4:08:10, time: 0.996, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0665, decode.acc_seg: 97.3411, aux.loss_ce: 0.0362, aux.acc_seg: 96.4521, loss: 0.1028 2023-02-25 01:26:40,381 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 1 day, 4:07:20, time: 0.995, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0685, decode.acc_seg: 97.2371, aux.loss_ce: 0.0373, aux.acc_seg: 96.3634, loss: 0.1058 2023-02-25 01:27:29,748 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 1 day, 4:06:29, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0686, decode.acc_seg: 97.2949, aux.loss_ce: 0.0367, aux.acc_seg: 96.4212, loss: 0.1053 2023-02-25 01:28:19,083 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 1 day, 4:05:38, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0729, decode.acc_seg: 97.1253, aux.loss_ce: 0.0387, aux.acc_seg: 96.2581, loss: 0.1115 2023-02-25 01:29:08,460 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 1 day, 4:04:48, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0705, decode.acc_seg: 97.1750, aux.loss_ce: 0.0364, aux.acc_seg: 96.4740, loss: 0.1069 2023-02-25 01:29:57,794 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 1 day, 4:03:57, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.2271, aux.loss_ce: 0.0368, aux.acc_seg: 96.3859, loss: 0.1056 2023-02-25 01:30:50,564 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 1 day, 4:03:12, time: 1.055, data_time: 0.073, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3242, aux.loss_ce: 0.0359, aux.acc_seg: 96.4334, loss: 0.1029 2023-02-25 01:31:39,717 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 1 day, 4:02:21, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0705, decode.acc_seg: 97.1436, aux.loss_ce: 0.0382, aux.acc_seg: 96.2113, loss: 0.1087 2023-02-25 01:32:28,804 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 1 day, 4:01:29, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0673, decode.acc_seg: 97.2890, aux.loss_ce: 0.0347, aux.acc_seg: 96.5757, loss: 0.1020 2023-02-25 01:33:17,803 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 1 day, 4:00:38, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0659, decode.acc_seg: 97.3332, aux.loss_ce: 0.0350, aux.acc_seg: 96.5913, loss: 0.1009 2023-02-25 01:34:07,213 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:34:07,213 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 1 day, 3:59:47, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0740, decode.acc_seg: 97.1756, aux.loss_ce: 0.0394, aux.acc_seg: 96.2570, loss: 0.1134 2023-02-25 01:34:56,430 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 1 day, 3:58:56, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0648, decode.acc_seg: 97.3846, aux.loss_ce: 0.0359, aux.acc_seg: 96.4873, loss: 0.1007 2023-02-25 01:35:45,896 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 1 day, 3:58:06, time: 0.990, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0701, decode.acc_seg: 97.2264, aux.loss_ce: 0.0381, aux.acc_seg: 96.3837, loss: 0.1082 2023-02-25 01:36:39,020 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 1 day, 3:57:21, time: 1.062, data_time: 0.084, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.1087, aux.loss_ce: 0.0357, aux.acc_seg: 96.4801, loss: 0.1075 2023-02-25 01:37:28,340 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 1 day, 3:56:30, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0665, decode.acc_seg: 97.3504, aux.loss_ce: 0.0348, aux.acc_seg: 96.5984, loss: 0.1013 2023-02-25 01:38:17,696 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 1 day, 3:55:39, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0670, decode.acc_seg: 97.3383, aux.loss_ce: 0.0359, aux.acc_seg: 96.4833, loss: 0.1029 2023-02-25 01:39:07,010 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 1 day, 3:54:49, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0671, decode.acc_seg: 97.3217, aux.loss_ce: 0.0346, aux.acc_seg: 96.6367, loss: 0.1017 2023-02-25 01:39:56,366 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 1 day, 3:53:58, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0638, decode.acc_seg: 97.4604, aux.loss_ce: 0.0330, aux.acc_seg: 96.7733, loss: 0.0968 2023-02-25 01:40:46,039 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 1 day, 3:53:07, time: 0.993, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0747, decode.acc_seg: 97.0645, aux.loss_ce: 0.0377, aux.acc_seg: 96.4128, loss: 0.1124 2023-02-25 01:41:35,547 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 1 day, 3:52:17, time: 0.990, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0676, decode.acc_seg: 97.2701, aux.loss_ce: 0.0342, aux.acc_seg: 96.6223, loss: 0.1017 2023-02-25 01:42:24,852 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 1 day, 3:51:26, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.2820, aux.loss_ce: 0.0363, aux.acc_seg: 96.4265, loss: 0.1031 2023-02-25 01:43:17,124 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 1 day, 3:50:40, time: 1.045, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0701, decode.acc_seg: 97.1532, aux.loss_ce: 0.0363, aux.acc_seg: 96.4217, loss: 0.1064 2023-02-25 01:44:06,626 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 1 day, 3:49:50, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.3139, aux.loss_ce: 0.0358, aux.acc_seg: 96.5320, loss: 0.1038 2023-02-25 01:44:56,113 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 1 day, 3:48:59, time: 0.990, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0649, decode.acc_seg: 97.3647, aux.loss_ce: 0.0352, aux.acc_seg: 96.5040, loss: 0.1002 2023-02-25 01:45:45,687 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 1 day, 3:48:09, time: 0.991, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0672, decode.acc_seg: 97.3375, aux.loss_ce: 0.0356, aux.acc_seg: 96.5657, loss: 0.1029 2023-02-25 01:46:34,951 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 1 day, 3:47:18, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0642, decode.acc_seg: 97.4277, aux.loss_ce: 0.0352, aux.acc_seg: 96.5640, loss: 0.0993 2023-02-25 01:47:24,271 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 1 day, 3:46:27, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0627, decode.acc_seg: 97.4699, aux.loss_ce: 0.0328, aux.acc_seg: 96.7723, loss: 0.0955 2023-02-25 01:48:13,742 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 1 day, 3:45:36, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.4261, aux.loss_ce: 0.0343, aux.acc_seg: 96.6741, loss: 0.0989 2023-02-25 01:49:05,554 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 1 day, 3:44:50, time: 1.036, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0685, decode.acc_seg: 97.2830, aux.loss_ce: 0.0353, aux.acc_seg: 96.5507, loss: 0.1038 2023-02-25 01:49:54,894 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 1 day, 3:43:59, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0673, decode.acc_seg: 97.3263, aux.loss_ce: 0.0347, aux.acc_seg: 96.5847, loss: 0.1020 2023-02-25 01:50:44,175 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 01:50:44,175 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 1 day, 3:43:08, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0653, decode.acc_seg: 97.3564, aux.loss_ce: 0.0349, aux.acc_seg: 96.5825, loss: 0.1002 2023-02-25 01:51:33,543 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 1 day, 3:42:17, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0641, decode.acc_seg: 97.4485, aux.loss_ce: 0.0333, aux.acc_seg: 96.7513, loss: 0.0974 2023-02-25 01:52:22,999 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 1 day, 3:41:26, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0662, decode.acc_seg: 97.3335, aux.loss_ce: 0.0355, aux.acc_seg: 96.5196, loss: 0.1016 2023-02-25 01:53:12,124 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 1 day, 3:40:35, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3607, aux.loss_ce: 0.0351, aux.acc_seg: 96.5743, loss: 0.1007 2023-02-25 01:54:01,261 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 1 day, 3:39:44, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0627, decode.acc_seg: 97.5104, aux.loss_ce: 0.0338, aux.acc_seg: 96.7587, loss: 0.0965 2023-02-25 01:54:51,297 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 1 day, 3:38:54, time: 1.000, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0662, decode.acc_seg: 97.3296, aux.loss_ce: 0.0344, aux.acc_seg: 96.5923, loss: 0.1006 2023-02-25 01:55:43,787 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 1 day, 3:38:09, time: 1.050, data_time: 0.067, memory: 19374, decode.loss_ce: 0.0667, decode.acc_seg: 97.3033, aux.loss_ce: 0.0355, aux.acc_seg: 96.5318, loss: 0.1023 2023-02-25 01:56:33,250 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 1 day, 3:37:18, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0626, decode.acc_seg: 97.4768, aux.loss_ce: 0.0348, aux.acc_seg: 96.5406, loss: 0.0974 2023-02-25 01:57:22,641 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 1 day, 3:36:27, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0627, decode.acc_seg: 97.4669, aux.loss_ce: 0.0339, aux.acc_seg: 96.6568, loss: 0.0966 2023-02-25 01:58:11,981 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 1 day, 3:35:37, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0872, decode.acc_seg: 96.6234, aux.loss_ce: 0.0426, aux.acc_seg: 96.0175, loss: 0.1298 2023-02-25 01:59:01,286 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 1 day, 3:34:46, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0722, decode.acc_seg: 97.1614, aux.loss_ce: 0.0370, aux.acc_seg: 96.4091, loss: 0.1093 2023-02-25 01:59:51,299 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 1 day, 3:33:56, time: 1.000, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0745, decode.acc_seg: 97.0077, aux.loss_ce: 0.0375, aux.acc_seg: 96.3148, loss: 0.1120 2023-02-25 02:00:41,395 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 1 day, 3:33:07, time: 1.002, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2454, aux.loss_ce: 0.0357, aux.acc_seg: 96.5418, loss: 0.1055 2023-02-25 02:01:33,512 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 1 day, 3:32:20, time: 1.042, data_time: 0.066, memory: 19374, decode.loss_ce: 0.0663, decode.acc_seg: 97.3473, aux.loss_ce: 0.0348, aux.acc_seg: 96.5695, loss: 0.1011 2023-02-25 02:02:22,709 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 1 day, 3:31:29, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0691, decode.acc_seg: 97.1936, aux.loss_ce: 0.0360, aux.acc_seg: 96.4374, loss: 0.1051 2023-02-25 02:03:12,037 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 1 day, 3:30:38, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0694, decode.acc_seg: 97.2688, aux.loss_ce: 0.0366, aux.acc_seg: 96.4552, loss: 0.1060 2023-02-25 02:04:01,658 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 1 day, 3:29:48, time: 0.992, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0703, decode.acc_seg: 97.2026, aux.loss_ce: 0.0387, aux.acc_seg: 96.2295, loss: 0.1089 2023-02-25 02:04:51,231 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 1 day, 3:28:58, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0738, decode.acc_seg: 97.1129, aux.loss_ce: 0.0374, aux.acc_seg: 96.4912, loss: 0.1112 2023-02-25 02:05:40,477 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 1 day, 3:28:07, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0666, decode.acc_seg: 97.3443, aux.loss_ce: 0.0346, aux.acc_seg: 96.6266, loss: 0.1012 2023-02-25 02:06:29,778 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 1 day, 3:27:16, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0700, decode.acc_seg: 97.2373, aux.loss_ce: 0.0362, aux.acc_seg: 96.4968, loss: 0.1062 2023-02-25 02:07:19,042 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:07:19,042 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 1 day, 3:26:25, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.2687, aux.loss_ce: 0.0363, aux.acc_seg: 96.4766, loss: 0.1050 2023-02-25 02:08:10,799 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 1 day, 3:25:38, time: 1.035, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.2841, aux.loss_ce: 0.0358, aux.acc_seg: 96.4357, loss: 0.1033 2023-02-25 02:09:00,210 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 1 day, 3:24:47, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.3550, aux.loss_ce: 0.0358, aux.acc_seg: 96.5581, loss: 0.1026 2023-02-25 02:09:49,449 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 1 day, 3:23:56, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0693, decode.acc_seg: 97.1958, aux.loss_ce: 0.0361, aux.acc_seg: 96.4160, loss: 0.1054 2023-02-25 02:10:38,850 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 1 day, 3:23:06, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0721, decode.acc_seg: 97.1001, aux.loss_ce: 0.0370, aux.acc_seg: 96.3643, loss: 0.1091 2023-02-25 02:11:28,101 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 1 day, 3:22:15, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0680, decode.acc_seg: 97.2814, aux.loss_ce: 0.0355, aux.acc_seg: 96.5114, loss: 0.1035 2023-02-25 02:12:17,489 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 1 day, 3:21:24, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0664, decode.acc_seg: 97.3730, aux.loss_ce: 0.0361, aux.acc_seg: 96.5634, loss: 0.1025 2023-02-25 02:13:06,833 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 1 day, 3:20:33, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0625, decode.acc_seg: 97.4915, aux.loss_ce: 0.0321, aux.acc_seg: 96.8730, loss: 0.0946 2023-02-25 02:13:58,744 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 1 day, 3:19:47, time: 1.038, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.3373, aux.loss_ce: 0.0372, aux.acc_seg: 96.3805, loss: 0.1040 2023-02-25 02:14:48,050 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 1 day, 3:18:56, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.2030, aux.loss_ce: 0.0367, aux.acc_seg: 96.4692, loss: 0.1087 2023-02-25 02:15:37,074 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 1 day, 3:18:05, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0697, decode.acc_seg: 97.2224, aux.loss_ce: 0.0385, aux.acc_seg: 96.2499, loss: 0.1081 2023-02-25 02:16:26,278 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 1 day, 3:17:14, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0788, decode.acc_seg: 97.1385, aux.loss_ce: 0.0373, aux.acc_seg: 96.3485, loss: 0.1162 2023-02-25 02:17:15,510 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 1 day, 3:16:23, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0768, decode.acc_seg: 96.9787, aux.loss_ce: 0.0416, aux.acc_seg: 96.1183, loss: 0.1184 2023-02-25 02:18:04,673 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 1 day, 3:15:32, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0666, decode.acc_seg: 97.3133, aux.loss_ce: 0.0351, aux.acc_seg: 96.5655, loss: 0.1018 2023-02-25 02:18:53,908 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 1 day, 3:14:41, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0661, decode.acc_seg: 97.3431, aux.loss_ce: 0.0347, aux.acc_seg: 96.6106, loss: 0.1008 2023-02-25 02:19:43,250 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 1 day, 3:13:50, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0682, decode.acc_seg: 97.2679, aux.loss_ce: 0.0346, aux.acc_seg: 96.6108, loss: 0.1028 2023-02-25 02:20:34,973 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 1 day, 3:13:03, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0660, decode.acc_seg: 97.3682, aux.loss_ce: 0.0344, aux.acc_seg: 96.6359, loss: 0.1004 2023-02-25 02:21:24,351 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 1 day, 3:12:12, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0660, decode.acc_seg: 97.4064, aux.loss_ce: 0.0348, aux.acc_seg: 96.6574, loss: 0.1009 2023-02-25 02:22:13,418 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 1 day, 3:11:21, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.2646, aux.loss_ce: 0.0350, aux.acc_seg: 96.5864, loss: 0.1039 2023-02-25 02:23:02,629 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 1 day, 3:10:30, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0689, decode.acc_seg: 97.2438, aux.loss_ce: 0.0352, aux.acc_seg: 96.5394, loss: 0.1041 2023-02-25 02:23:51,755 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:23:51,755 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 1 day, 3:09:39, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0652, decode.acc_seg: 97.3903, aux.loss_ce: 0.0364, aux.acc_seg: 96.4972, loss: 0.1016 2023-02-25 02:24:41,405 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 1 day, 3:08:49, time: 0.993, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0643, decode.acc_seg: 97.4040, aux.loss_ce: 0.0358, aux.acc_seg: 96.4541, loss: 0.1001 2023-02-25 02:25:30,552 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 1 day, 3:07:58, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0608, decode.acc_seg: 97.5361, aux.loss_ce: 0.0339, aux.acc_seg: 96.6351, loss: 0.0947 2023-02-25 02:26:22,828 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 1 day, 3:07:12, time: 1.046, data_time: 0.069, memory: 19374, decode.loss_ce: 0.0637, decode.acc_seg: 97.4386, aux.loss_ce: 0.0324, aux.acc_seg: 96.8094, loss: 0.0961 2023-02-25 02:27:12,012 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 1 day, 3:06:21, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0699, decode.acc_seg: 97.1759, aux.loss_ce: 0.0362, aux.acc_seg: 96.4194, loss: 0.1062 2023-02-25 02:28:01,251 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 1 day, 3:05:30, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0673, decode.acc_seg: 97.3146, aux.loss_ce: 0.0339, aux.acc_seg: 96.6768, loss: 0.1013 2023-02-25 02:28:50,375 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 1 day, 3:04:39, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0664, decode.acc_seg: 97.3554, aux.loss_ce: 0.0378, aux.acc_seg: 96.3355, loss: 0.1042 2023-02-25 02:29:39,653 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 1 day, 3:03:48, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0647, decode.acc_seg: 97.4120, aux.loss_ce: 0.0356, aux.acc_seg: 96.5243, loss: 0.1002 2023-02-25 02:30:28,938 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 1 day, 3:02:57, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0683, decode.acc_seg: 97.2657, aux.loss_ce: 0.0368, aux.acc_seg: 96.3928, loss: 0.1051 2023-02-25 02:31:18,236 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 1 day, 3:02:06, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0782, decode.acc_seg: 96.9106, aux.loss_ce: 0.0388, aux.acc_seg: 96.3550, loss: 0.1170 2023-02-25 02:32:09,789 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 1 day, 3:01:19, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0674, decode.acc_seg: 97.3212, aux.loss_ce: 0.0352, aux.acc_seg: 96.5875, loss: 0.1027 2023-02-25 02:32:58,989 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 1 day, 3:00:28, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0657, decode.acc_seg: 97.3529, aux.loss_ce: 0.0337, aux.acc_seg: 96.6681, loss: 0.0994 2023-02-25 02:33:48,190 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 1 day, 2:59:37, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0667, decode.acc_seg: 97.3186, aux.loss_ce: 0.0344, aux.acc_seg: 96.6042, loss: 0.1012 2023-02-25 02:34:37,225 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 1 day, 2:58:46, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4620, aux.loss_ce: 0.0343, aux.acc_seg: 96.5875, loss: 0.0967 2023-02-25 02:35:26,451 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 1 day, 2:57:55, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0638, decode.acc_seg: 97.4348, aux.loss_ce: 0.0350, aux.acc_seg: 96.5845, loss: 0.0988 2023-02-25 02:36:15,833 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 1 day, 2:57:04, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0696, decode.acc_seg: 97.2024, aux.loss_ce: 0.0357, aux.acc_seg: 96.4791, loss: 0.1053 2023-02-25 02:37:05,174 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 1 day, 2:56:13, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0654, decode.acc_seg: 97.3920, aux.loss_ce: 0.0347, aux.acc_seg: 96.6130, loss: 0.1000 2023-02-25 02:37:54,483 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 1 day, 2:55:23, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.4194, aux.loss_ce: 0.0366, aux.acc_seg: 96.4828, loss: 0.1010 2023-02-25 02:38:45,985 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 1 day, 2:54:35, time: 1.030, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0608, decode.acc_seg: 97.5470, aux.loss_ce: 0.0327, aux.acc_seg: 96.7927, loss: 0.0935 2023-02-25 02:39:35,267 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 1 day, 2:53:44, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.5323, aux.loss_ce: 0.0328, aux.acc_seg: 96.7911, loss: 0.0944 2023-02-25 02:40:24,538 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:40:24,538 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 1 day, 2:52:54, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0677, decode.acc_seg: 97.2665, aux.loss_ce: 0.0359, aux.acc_seg: 96.4346, loss: 0.1036 2023-02-25 02:41:13,834 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 1 day, 2:52:03, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.3948, aux.loss_ce: 0.0337, aux.acc_seg: 96.7013, loss: 0.0983 2023-02-25 02:42:03,103 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 1 day, 2:51:12, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0605, decode.acc_seg: 97.5408, aux.loss_ce: 0.0343, aux.acc_seg: 96.6633, loss: 0.0948 2023-02-25 02:42:52,377 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 1 day, 2:50:21, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0684, decode.acc_seg: 97.2775, aux.loss_ce: 0.0352, aux.acc_seg: 96.5632, loss: 0.1036 2023-02-25 02:43:41,823 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 1 day, 2:49:31, time: 0.989, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0726, decode.acc_seg: 97.0775, aux.loss_ce: 0.0383, aux.acc_seg: 96.3488, loss: 0.1109 2023-02-25 02:44:34,344 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 1 day, 2:48:45, time: 1.050, data_time: 0.070, memory: 19374, decode.loss_ce: 0.0734, decode.acc_seg: 97.1116, aux.loss_ce: 0.0383, aux.acc_seg: 96.3104, loss: 0.1117 2023-02-25 02:45:23,731 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 1 day, 2:47:54, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0689, decode.acc_seg: 97.2432, aux.loss_ce: 0.0357, aux.acc_seg: 96.4836, loss: 0.1046 2023-02-25 02:46:12,946 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 1 day, 2:47:03, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0659, decode.acc_seg: 97.3455, aux.loss_ce: 0.0347, aux.acc_seg: 96.6013, loss: 0.1006 2023-02-25 02:47:02,290 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 1 day, 2:46:13, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0620, decode.acc_seg: 97.4620, aux.loss_ce: 0.0341, aux.acc_seg: 96.6283, loss: 0.0961 2023-02-25 02:47:51,881 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 1 day, 2:45:22, time: 0.992, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0647, decode.acc_seg: 97.3888, aux.loss_ce: 0.0341, aux.acc_seg: 96.6527, loss: 0.0988 2023-02-25 02:48:41,905 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 1 day, 2:44:33, time: 1.001, data_time: 0.024, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4544, aux.loss_ce: 0.0353, aux.acc_seg: 96.5426, loss: 0.0985 2023-02-25 02:49:31,630 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 1 day, 2:43:42, time: 0.995, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0651, decode.acc_seg: 97.3805, aux.loss_ce: 0.0352, aux.acc_seg: 96.5071, loss: 0.1004 2023-02-25 02:50:20,871 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 1 day, 2:42:52, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0606, decode.acc_seg: 97.5839, aux.loss_ce: 0.0342, aux.acc_seg: 96.6516, loss: 0.0948 2023-02-25 02:51:12,691 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 1 day, 2:42:05, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0629, decode.acc_seg: 97.5036, aux.loss_ce: 0.0334, aux.acc_seg: 96.7605, loss: 0.0964 2023-02-25 02:52:01,983 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 1 day, 2:41:14, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0659, decode.acc_seg: 97.3356, aux.loss_ce: 0.0361, aux.acc_seg: 96.4575, loss: 0.1020 2023-02-25 02:52:51,827 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 1 day, 2:40:24, time: 0.997, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.5138, aux.loss_ce: 0.0349, aux.acc_seg: 96.5017, loss: 0.0965 2023-02-25 02:53:41,101 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 1 day, 2:39:33, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0649, decode.acc_seg: 97.3981, aux.loss_ce: 0.0349, aux.acc_seg: 96.5533, loss: 0.0998 2023-02-25 02:54:30,466 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 1 day, 2:38:42, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.3949, aux.loss_ce: 0.0324, aux.acc_seg: 96.8161, loss: 0.0970 2023-02-25 02:55:19,763 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 1 day, 2:37:52, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0618, decode.acc_seg: 97.5134, aux.loss_ce: 0.0334, aux.acc_seg: 96.7394, loss: 0.0952 2023-02-25 02:56:08,982 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 1 day, 2:37:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0658, decode.acc_seg: 97.3463, aux.loss_ce: 0.0356, aux.acc_seg: 96.5032, loss: 0.1014 2023-02-25 02:57:00,088 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-02-25 02:57:06,096 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:57:06,099 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 1 day, 2:36:22, time: 1.142, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0675, decode.acc_seg: 97.3201, aux.loss_ce: 0.0377, aux.acc_seg: 96.3363, loss: 0.1052 2023-02-25 02:58:36,157 - mmseg - INFO - per class results: 2023-02-25 02:58:36,159 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.46 | 99.16 | | sidewalk | 87.62 | 93.01 | | building | 93.79 | 96.82 | | wall | 63.82 | 76.47 | | fence | 68.13 | 75.55 | | pole | 70.42 | 80.64 | | traffic light | 73.48 | 91.35 | | traffic sign | 82.91 | 90.84 | | vegetation | 93.23 | 96.51 | | terrain | 68.04 | 78.17 | | sky | 94.63 | 99.27 | | person | 85.43 | 93.77 | | rider | 68.92 | 80.81 | | car | 94.84 | 98.54 | | truck | 78.32 | 86.17 | | bus | 93.31 | 94.52 | | train | 87.55 | 91.97 | | motorcycle | 73.3 | 82.25 | | bicycle | 81.09 | 89.81 | +---------------+-------+-------+ 2023-02-25 02:58:36,159 - mmseg - INFO - Summary: 2023-02-25 02:58:36,160 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.69 | 81.96 | 89.24 | +-------+-------+-------+ 2023-02-25 02:58:36,160 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 02:58:36,160 - mmseg - INFO - Iter(val) [125] aAcc: 0.9669, mIoU: 0.8196, mAcc: 0.8924, IoU.road: 0.9846, IoU.sidewalk: 0.8762, IoU.building: 0.9379, IoU.wall: 0.6382, IoU.fence: 0.6813, IoU.pole: 0.7042, IoU.traffic light: 0.7348, IoU.traffic sign: 0.8291, IoU.vegetation: 0.9323, IoU.terrain: 0.6804, IoU.sky: 0.9463, IoU.person: 0.8543, IoU.rider: 0.6892, IoU.car: 0.9484, IoU.truck: 0.7832, IoU.bus: 0.9331, IoU.train: 0.8755, IoU.motorcycle: 0.7330, IoU.bicycle: 0.8109, Acc.road: 0.9916, Acc.sidewalk: 0.9301, Acc.building: 0.9682, Acc.wall: 0.7647, Acc.fence: 0.7555, Acc.pole: 0.8064, Acc.traffic light: 0.9135, Acc.traffic sign: 0.9084, Acc.vegetation: 0.9651, Acc.terrain: 0.7817, Acc.sky: 0.9927, Acc.person: 0.9377, Acc.rider: 0.8081, Acc.car: 0.9854, Acc.truck: 0.8617, Acc.bus: 0.9452, Acc.train: 0.9197, Acc.motorcycle: 0.8225, Acc.bicycle: 0.8981 2023-02-25 02:59:25,232 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 1 day, 2:37:46, time: 2.783, data_time: 1.808, memory: 19374, decode.loss_ce: 0.0652, decode.acc_seg: 97.4202, aux.loss_ce: 0.0338, aux.acc_seg: 96.7267, loss: 0.0990 2023-02-25 03:00:14,353 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 1 day, 2:36:54, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0645, decode.acc_seg: 97.4136, aux.loss_ce: 0.0359, aux.acc_seg: 96.4692, loss: 0.1004 2023-02-25 03:01:03,491 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 1 day, 2:36:03, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3589, aux.loss_ce: 0.0332, aux.acc_seg: 96.7344, loss: 0.0988 2023-02-25 03:01:52,517 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 1 day, 2:35:12, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0663, decode.acc_seg: 97.3730, aux.loss_ce: 0.0348, aux.acc_seg: 96.5731, loss: 0.1011 2023-02-25 03:02:42,134 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 1 day, 2:34:21, time: 0.992, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0667, decode.acc_seg: 97.2795, aux.loss_ce: 0.0341, aux.acc_seg: 96.6034, loss: 0.1008 2023-02-25 03:03:32,235 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 1 day, 2:33:32, time: 1.002, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0639, decode.acc_seg: 97.4485, aux.loss_ce: 0.0342, aux.acc_seg: 96.6544, loss: 0.0981 2023-02-25 03:04:21,892 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 1 day, 2:32:41, time: 0.993, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3132, aux.loss_ce: 0.0350, aux.acc_seg: 96.5859, loss: 0.1019 2023-02-25 03:05:13,719 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 1 day, 2:31:54, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0620, decode.acc_seg: 97.5220, aux.loss_ce: 0.0337, aux.acc_seg: 96.6980, loss: 0.0957 2023-02-25 03:06:02,999 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 1 day, 2:31:03, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0660, decode.acc_seg: 97.3100, aux.loss_ce: 0.0337, aux.acc_seg: 96.6319, loss: 0.0997 2023-02-25 03:06:52,487 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 1 day, 2:30:12, time: 0.990, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4423, aux.loss_ce: 0.0341, aux.acc_seg: 96.6087, loss: 0.0972 2023-02-25 03:07:42,332 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 1 day, 2:29:22, time: 0.997, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0625, decode.acc_seg: 97.4592, aux.loss_ce: 0.0330, aux.acc_seg: 96.7414, loss: 0.0955 2023-02-25 03:08:31,735 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 1 day, 2:28:32, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0633, decode.acc_seg: 97.4277, aux.loss_ce: 0.0332, aux.acc_seg: 96.7054, loss: 0.0965 2023-02-25 03:09:21,108 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 1 day, 2:27:41, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0664, decode.acc_seg: 97.3588, aux.loss_ce: 0.0351, aux.acc_seg: 96.5949, loss: 0.1015 2023-02-25 03:10:10,405 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 1 day, 2:26:50, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.3275, aux.loss_ce: 0.0349, aux.acc_seg: 96.6032, loss: 0.1017 2023-02-25 03:11:02,002 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 1 day, 2:26:02, time: 1.032, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0653, decode.acc_seg: 97.4110, aux.loss_ce: 0.0354, aux.acc_seg: 96.5593, loss: 0.1006 2023-02-25 03:11:51,045 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 1 day, 2:25:11, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4794, aux.loss_ce: 0.0330, aux.acc_seg: 96.7543, loss: 0.0962 2023-02-25 03:12:40,212 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 1 day, 2:24:20, time: 0.983, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0636, decode.acc_seg: 97.4454, aux.loss_ce: 0.0354, aux.acc_seg: 96.5504, loss: 0.0990 2023-02-25 03:13:29,372 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 1 day, 2:23:29, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0700, decode.acc_seg: 97.2230, aux.loss_ce: 0.0356, aux.acc_seg: 96.5712, loss: 0.1056 2023-02-25 03:14:18,539 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 1 day, 2:22:38, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0695, decode.acc_seg: 97.2344, aux.loss_ce: 0.0371, aux.acc_seg: 96.4123, loss: 0.1066 2023-02-25 03:15:07,622 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:15:07,622 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 1 day, 2:21:46, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0663, decode.acc_seg: 97.3615, aux.loss_ce: 0.0341, aux.acc_seg: 96.7017, loss: 0.1004 2023-02-25 03:15:57,311 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 1 day, 2:20:56, time: 0.994, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0686, decode.acc_seg: 97.2896, aux.loss_ce: 0.0353, aux.acc_seg: 96.5474, loss: 0.1039 2023-02-25 03:16:46,528 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 1 day, 2:20:05, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0639, decode.acc_seg: 97.4640, aux.loss_ce: 0.0343, aux.acc_seg: 96.6658, loss: 0.0982 2023-02-25 03:17:38,102 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 1 day, 2:19:18, time: 1.031, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0623, decode.acc_seg: 97.4912, aux.loss_ce: 0.0327, aux.acc_seg: 96.7891, loss: 0.0950 2023-02-25 03:18:27,455 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 1 day, 2:18:27, time: 0.987, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.4026, aux.loss_ce: 0.0343, aux.acc_seg: 96.6111, loss: 0.0990 2023-02-25 03:19:16,730 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 1 day, 2:17:36, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0709, decode.acc_seg: 97.2126, aux.loss_ce: 0.0374, aux.acc_seg: 96.4196, loss: 0.1083 2023-02-25 03:20:06,026 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 1 day, 2:16:45, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0634, decode.acc_seg: 97.4678, aux.loss_ce: 0.0332, aux.acc_seg: 96.7325, loss: 0.0966 2023-02-25 03:20:55,226 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 1 day, 2:15:54, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0630, decode.acc_seg: 97.4613, aux.loss_ce: 0.0328, aux.acc_seg: 96.7865, loss: 0.0958 2023-02-25 03:21:44,312 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 1 day, 2:15:03, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0653, decode.acc_seg: 97.3855, aux.loss_ce: 0.0346, aux.acc_seg: 96.6436, loss: 0.0999 2023-02-25 03:22:33,516 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 1 day, 2:14:12, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0738, decode.acc_seg: 97.0541, aux.loss_ce: 0.0364, aux.acc_seg: 96.4418, loss: 0.1102 2023-02-25 03:23:25,049 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 1 day, 2:13:24, time: 1.031, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0718, decode.acc_seg: 97.1480, aux.loss_ce: 0.0358, aux.acc_seg: 96.5112, loss: 0.1076 2023-02-25 03:24:14,188 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 1 day, 2:12:33, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0679, decode.acc_seg: 97.2784, aux.loss_ce: 0.0351, aux.acc_seg: 96.5327, loss: 0.1031 2023-02-25 03:25:03,573 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 1 day, 2:11:42, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0691, decode.acc_seg: 97.2771, aux.loss_ce: 0.0346, aux.acc_seg: 96.6248, loss: 0.1037 2023-02-25 03:25:52,708 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 1 day, 2:10:51, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5632, aux.loss_ce: 0.0324, aux.acc_seg: 96.8036, loss: 0.0931 2023-02-25 03:26:41,772 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 1 day, 2:10:00, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0699, decode.acc_seg: 97.2171, aux.loss_ce: 0.0370, aux.acc_seg: 96.4235, loss: 0.1069 2023-02-25 03:27:30,980 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 1 day, 2:09:09, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0658, decode.acc_seg: 97.3485, aux.loss_ce: 0.0345, aux.acc_seg: 96.6327, loss: 0.1003 2023-02-25 03:28:20,181 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 1 day, 2:08:18, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.3932, aux.loss_ce: 0.0343, aux.acc_seg: 96.6578, loss: 0.0989 2023-02-25 03:29:12,316 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 1 day, 2:07:31, time: 1.043, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.3193, aux.loss_ce: 0.0387, aux.acc_seg: 96.4273, loss: 0.1068 2023-02-25 03:30:01,814 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 1 day, 2:06:40, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0678, decode.acc_seg: 97.2558, aux.loss_ce: 0.0365, aux.acc_seg: 96.4424, loss: 0.1043 2023-02-25 03:30:51,036 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 1 day, 2:05:49, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0682, decode.acc_seg: 97.2593, aux.loss_ce: 0.0342, aux.acc_seg: 96.6394, loss: 0.1024 2023-02-25 03:31:40,265 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:31:40,265 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 1 day, 2:04:58, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.3823, aux.loss_ce: 0.0339, aux.acc_seg: 96.6425, loss: 0.0985 2023-02-25 03:32:29,498 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 1 day, 2:04:07, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0658, decode.acc_seg: 97.3761, aux.loss_ce: 0.0340, aux.acc_seg: 96.6792, loss: 0.0998 2023-02-25 03:33:18,921 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 1 day, 2:03:17, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3630, aux.loss_ce: 0.0336, aux.acc_seg: 96.6984, loss: 0.0992 2023-02-25 03:34:08,616 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 1 day, 2:02:26, time: 0.994, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0629, decode.acc_seg: 97.4641, aux.loss_ce: 0.0336, aux.acc_seg: 96.6932, loss: 0.0965 2023-02-25 03:34:57,674 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 1 day, 2:01:35, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0648, decode.acc_seg: 97.4034, aux.loss_ce: 0.0335, aux.acc_seg: 96.7143, loss: 0.0984 2023-02-25 03:35:49,263 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 1 day, 2:00:48, time: 1.032, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.5289, aux.loss_ce: 0.0324, aux.acc_seg: 96.8247, loss: 0.0939 2023-02-25 03:36:38,950 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 1 day, 1:59:57, time: 0.993, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0643, decode.acc_seg: 97.4089, aux.loss_ce: 0.0338, aux.acc_seg: 96.6822, loss: 0.0981 2023-02-25 03:37:28,345 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 1 day, 1:59:07, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0647, decode.acc_seg: 97.3845, aux.loss_ce: 0.0345, aux.acc_seg: 96.5919, loss: 0.0991 2023-02-25 03:38:17,958 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 1 day, 1:58:16, time: 0.993, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0613, decode.acc_seg: 97.5461, aux.loss_ce: 0.0322, aux.acc_seg: 96.8615, loss: 0.0935 2023-02-25 03:39:07,023 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 1 day, 1:57:25, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0651, decode.acc_seg: 97.3834, aux.loss_ce: 0.0348, aux.acc_seg: 96.5473, loss: 0.0999 2023-02-25 03:39:56,232 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 1 day, 1:56:34, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0685, decode.acc_seg: 97.2520, aux.loss_ce: 0.0349, aux.acc_seg: 96.5434, loss: 0.1034 2023-02-25 03:40:45,298 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 1 day, 1:55:43, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0642, decode.acc_seg: 97.3690, aux.loss_ce: 0.0333, aux.acc_seg: 96.6759, loss: 0.0975 2023-02-25 03:41:36,632 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 1 day, 1:54:55, time: 1.027, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0682, decode.acc_seg: 97.2740, aux.loss_ce: 0.0363, aux.acc_seg: 96.4387, loss: 0.1044 2023-02-25 03:42:26,267 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 1 day, 1:54:04, time: 0.993, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0637, decode.acc_seg: 97.4524, aux.loss_ce: 0.0328, aux.acc_seg: 96.7916, loss: 0.0964 2023-02-25 03:43:15,405 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 1 day, 1:53:13, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0642, decode.acc_seg: 97.4414, aux.loss_ce: 0.0342, aux.acc_seg: 96.6685, loss: 0.0984 2023-02-25 03:44:04,718 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 1 day, 1:52:23, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0650, decode.acc_seg: 97.4042, aux.loss_ce: 0.0343, aux.acc_seg: 96.6434, loss: 0.0993 2023-02-25 03:44:54,065 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 1 day, 1:51:32, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0689, decode.acc_seg: 97.2284, aux.loss_ce: 0.0350, aux.acc_seg: 96.5711, loss: 0.1039 2023-02-25 03:45:43,424 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 1 day, 1:50:41, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0672, decode.acc_seg: 97.3060, aux.loss_ce: 0.0344, aux.acc_seg: 96.6263, loss: 0.1016 2023-02-25 03:46:32,593 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 1 day, 1:49:50, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0699, decode.acc_seg: 97.2142, aux.loss_ce: 0.0349, aux.acc_seg: 96.6031, loss: 0.1048 2023-02-25 03:47:22,122 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 1 day, 1:48:59, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0641, decode.acc_seg: 97.4137, aux.loss_ce: 0.0365, aux.acc_seg: 96.3507, loss: 0.1006 2023-02-25 03:48:13,728 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 03:48:13,728 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 1 day, 1:48:12, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0638, decode.acc_seg: 97.4466, aux.loss_ce: 0.0352, aux.acc_seg: 96.5634, loss: 0.0990 2023-02-25 03:49:03,197 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 1 day, 1:47:21, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.4895, aux.loss_ce: 0.0328, aux.acc_seg: 96.7678, loss: 0.0946 2023-02-25 03:49:52,515 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 1 day, 1:46:30, time: 0.986, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.5143, aux.loss_ce: 0.0341, aux.acc_seg: 96.6520, loss: 0.0958 2023-02-25 03:50:41,888 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 1 day, 1:45:40, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0640, decode.acc_seg: 97.4238, aux.loss_ce: 0.0355, aux.acc_seg: 96.5854, loss: 0.0996 2023-02-25 03:51:30,937 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 1 day, 1:44:49, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0754, decode.acc_seg: 97.1998, aux.loss_ce: 0.0370, aux.acc_seg: 96.4164, loss: 0.1124 2023-02-25 03:52:20,293 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 1 day, 1:43:58, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0628, decode.acc_seg: 97.5126, aux.loss_ce: 0.0334, aux.acc_seg: 96.7741, loss: 0.0962 2023-02-25 03:53:09,578 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 1 day, 1:43:07, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.4069, aux.loss_ce: 0.0339, aux.acc_seg: 96.6190, loss: 0.0983 2023-02-25 03:54:01,482 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 1 day, 1:42:20, time: 1.038, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0677, decode.acc_seg: 97.2779, aux.loss_ce: 0.0348, aux.acc_seg: 96.5999, loss: 0.1025 2023-02-25 03:54:50,931 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 1 day, 1:41:29, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0648, decode.acc_seg: 97.3845, aux.loss_ce: 0.0360, aux.acc_seg: 96.4948, loss: 0.1008 2023-02-25 03:55:40,062 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 1 day, 1:40:38, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0640, decode.acc_seg: 97.3925, aux.loss_ce: 0.0330, aux.acc_seg: 96.7318, loss: 0.0970 2023-02-25 03:56:29,279 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 1 day, 1:39:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4692, aux.loss_ce: 0.0331, aux.acc_seg: 96.7478, loss: 0.0963 2023-02-25 03:57:18,572 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 1 day, 1:38:56, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0643, decode.acc_seg: 97.3968, aux.loss_ce: 0.0336, aux.acc_seg: 96.6969, loss: 0.0978 2023-02-25 03:58:07,621 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 1 day, 1:38:05, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.6098, aux.loss_ce: 0.0344, aux.acc_seg: 96.6455, loss: 0.0943 2023-02-25 03:58:56,610 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 1 day, 1:37:14, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0662, decode.acc_seg: 97.3176, aux.loss_ce: 0.0340, aux.acc_seg: 96.6435, loss: 0.1002 2023-02-25 03:59:45,778 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 1 day, 1:36:23, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0716, decode.acc_seg: 97.1200, aux.loss_ce: 0.0356, aux.acc_seg: 96.5169, loss: 0.1072 2023-02-25 04:00:37,184 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 1 day, 1:35:35, time: 1.028, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0680, decode.acc_seg: 97.2582, aux.loss_ce: 0.0356, aux.acc_seg: 96.4837, loss: 0.1036 2023-02-25 04:01:26,548 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 1 day, 1:34:44, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0720, decode.acc_seg: 97.0783, aux.loss_ce: 0.0378, aux.acc_seg: 96.2904, loss: 0.1099 2023-02-25 04:02:15,662 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 1 day, 1:33:53, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.4951, aux.loss_ce: 0.0328, aux.acc_seg: 96.7808, loss: 0.0944 2023-02-25 04:03:04,961 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 1 day, 1:33:02, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0592, decode.acc_seg: 97.6122, aux.loss_ce: 0.0325, aux.acc_seg: 96.8006, loss: 0.0916 2023-02-25 04:03:54,298 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 1 day, 1:32:12, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.5285, aux.loss_ce: 0.0324, aux.acc_seg: 96.7955, loss: 0.0941 2023-02-25 04:04:43,400 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:04:43,401 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 1 day, 1:31:21, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.4567, aux.loss_ce: 0.0340, aux.acc_seg: 96.6454, loss: 0.0976 2023-02-25 04:05:33,131 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 1 day, 1:30:30, time: 0.995, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.3775, aux.loss_ce: 0.0342, aux.acc_seg: 96.5680, loss: 0.0986 2023-02-25 04:06:24,660 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 1 day, 1:29:43, time: 1.031, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.4175, aux.loss_ce: 0.0340, aux.acc_seg: 96.6981, loss: 0.0986 2023-02-25 04:07:13,949 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 1 day, 1:28:52, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0626, decode.acc_seg: 97.5140, aux.loss_ce: 0.0319, aux.acc_seg: 96.8772, loss: 0.0945 2023-02-25 04:08:03,165 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 1 day, 1:28:01, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.5163, aux.loss_ce: 0.0328, aux.acc_seg: 96.7441, loss: 0.0944 2023-02-25 04:08:52,682 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 1 day, 1:27:10, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0618, decode.acc_seg: 97.5027, aux.loss_ce: 0.0338, aux.acc_seg: 96.6780, loss: 0.0956 2023-02-25 04:09:41,916 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 1 day, 1:26:19, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.3864, aux.loss_ce: 0.0340, aux.acc_seg: 96.6933, loss: 0.0986 2023-02-25 04:10:31,548 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 1 day, 1:25:29, time: 0.993, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3385, aux.loss_ce: 0.0354, aux.acc_seg: 96.5201, loss: 0.1023 2023-02-25 04:11:20,759 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 1 day, 1:24:38, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0655, decode.acc_seg: 97.3473, aux.loss_ce: 0.0335, aux.acc_seg: 96.6815, loss: 0.0990 2023-02-25 04:12:12,567 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 1 day, 1:23:51, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0643, decode.acc_seg: 97.4139, aux.loss_ce: 0.0328, aux.acc_seg: 96.8017, loss: 0.0971 2023-02-25 04:13:01,891 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 1 day, 1:23:00, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.5153, aux.loss_ce: 0.0327, aux.acc_seg: 96.7897, loss: 0.0943 2023-02-25 04:13:51,181 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 1 day, 1:22:09, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0610, decode.acc_seg: 97.5208, aux.loss_ce: 0.0328, aux.acc_seg: 96.7304, loss: 0.0938 2023-02-25 04:14:40,460 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 1 day, 1:21:18, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.5025, aux.loss_ce: 0.0336, aux.acc_seg: 96.7021, loss: 0.0956 2023-02-25 04:15:29,840 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 1 day, 1:20:28, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.6202, aux.loss_ce: 0.0321, aux.acc_seg: 96.8287, loss: 0.0907 2023-02-25 04:16:19,183 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 1 day, 1:19:37, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0628, decode.acc_seg: 97.4799, aux.loss_ce: 0.0330, aux.acc_seg: 96.7643, loss: 0.0958 2023-02-25 04:17:08,507 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 1 day, 1:18:46, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0680, decode.acc_seg: 97.2313, aux.loss_ce: 0.0354, aux.acc_seg: 96.4916, loss: 0.1034 2023-02-25 04:17:57,992 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 1 day, 1:17:56, time: 0.990, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3053, aux.loss_ce: 0.0342, aux.acc_seg: 96.6186, loss: 0.1010 2023-02-25 04:18:49,527 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 1 day, 1:17:08, time: 1.031, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.2734, aux.loss_ce: 0.0352, aux.acc_seg: 96.5529, loss: 0.1033 2023-02-25 04:19:38,841 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 1 day, 1:16:17, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0652, decode.acc_seg: 97.3811, aux.loss_ce: 0.0349, aux.acc_seg: 96.5705, loss: 0.1000 2023-02-25 04:20:28,142 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 1 day, 1:15:26, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0758, decode.acc_seg: 96.9917, aux.loss_ce: 0.0349, aux.acc_seg: 96.5853, loss: 0.1106 2023-02-25 04:21:17,370 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:21:17,370 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 1 day, 1:14:36, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0639, decode.acc_seg: 97.4283, aux.loss_ce: 0.0330, aux.acc_seg: 96.7499, loss: 0.0969 2023-02-25 04:22:06,603 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 1 day, 1:13:45, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0640, decode.acc_seg: 97.4559, aux.loss_ce: 0.0341, aux.acc_seg: 96.6906, loss: 0.0981 2023-02-25 04:22:55,877 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 1 day, 1:12:54, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0665, decode.acc_seg: 97.3162, aux.loss_ce: 0.0343, aux.acc_seg: 96.6286, loss: 0.1008 2023-02-25 04:23:45,412 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 1 day, 1:12:04, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.3003, aux.loss_ce: 0.0347, aux.acc_seg: 96.6004, loss: 0.1034 2023-02-25 04:24:37,248 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 1 day, 1:11:16, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0650, decode.acc_seg: 97.4177, aux.loss_ce: 0.0330, aux.acc_seg: 96.7545, loss: 0.0979 2023-02-25 04:25:27,083 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 1 day, 1:10:26, time: 0.996, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0662, decode.acc_seg: 97.3655, aux.loss_ce: 0.0342, aux.acc_seg: 96.6698, loss: 0.1004 2023-02-25 04:26:16,053 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 1 day, 1:09:35, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0637, decode.acc_seg: 97.4505, aux.loss_ce: 0.0347, aux.acc_seg: 96.6222, loss: 0.0983 2023-02-25 04:27:05,132 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 1 day, 1:08:44, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0700, decode.acc_seg: 97.2457, aux.loss_ce: 0.0368, aux.acc_seg: 96.4426, loss: 0.1068 2023-02-25 04:27:54,362 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 1 day, 1:07:53, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0671, decode.acc_seg: 97.3198, aux.loss_ce: 0.0356, aux.acc_seg: 96.5050, loss: 0.1027 2023-02-25 04:28:43,615 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 1 day, 1:07:02, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0633, decode.acc_seg: 97.4543, aux.loss_ce: 0.0330, aux.acc_seg: 96.7619, loss: 0.0963 2023-02-25 04:29:33,013 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 1 day, 1:06:11, time: 0.988, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0654, decode.acc_seg: 97.3916, aux.loss_ce: 0.0331, aux.acc_seg: 96.7433, loss: 0.0985 2023-02-25 04:30:21,471 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 1 day, 1:05:20, time: 0.970, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0629, decode.acc_seg: 97.4943, aux.loss_ce: 0.0340, aux.acc_seg: 96.7064, loss: 0.0969 2023-02-25 04:31:12,345 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 1 day, 1:04:31, time: 1.017, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3458, aux.loss_ce: 0.0330, aux.acc_seg: 96.7261, loss: 0.0985 2023-02-25 04:32:00,852 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 1 day, 1:03:39, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0688, decode.acc_seg: 97.2168, aux.loss_ce: 0.0348, aux.acc_seg: 96.5695, loss: 0.1036 2023-02-25 04:32:50,088 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 1 day, 1:02:48, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5753, aux.loss_ce: 0.0325, aux.acc_seg: 96.7998, loss: 0.0927 2023-02-25 04:33:39,078 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 1 day, 1:01:57, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.3881, aux.loss_ce: 0.0337, aux.acc_seg: 96.6509, loss: 0.0982 2023-02-25 04:34:28,153 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 1 day, 1:01:06, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0645, decode.acc_seg: 97.3653, aux.loss_ce: 0.0343, aux.acc_seg: 96.6162, loss: 0.0988 2023-02-25 04:35:17,442 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 1 day, 1:00:15, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0657, decode.acc_seg: 97.3702, aux.loss_ce: 0.0375, aux.acc_seg: 96.3927, loss: 0.1032 2023-02-25 04:36:06,703 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 1 day, 0:59:25, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0653, decode.acc_seg: 97.3749, aux.loss_ce: 0.0354, aux.acc_seg: 96.5418, loss: 0.1008 2023-02-25 04:36:58,376 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 1 day, 0:58:37, time: 1.033, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.4620, aux.loss_ce: 0.0336, aux.acc_seg: 96.7296, loss: 0.0971 2023-02-25 04:37:47,704 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:37:47,705 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 1 day, 0:57:46, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0669, decode.acc_seg: 97.3615, aux.loss_ce: 0.0345, aux.acc_seg: 96.6292, loss: 0.1015 2023-02-25 04:38:37,084 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 1 day, 0:56:56, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6413, aux.loss_ce: 0.0316, aux.acc_seg: 96.8606, loss: 0.0899 2023-02-25 04:39:26,477 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 1 day, 0:56:05, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0629, decode.acc_seg: 97.4541, aux.loss_ce: 0.0327, aux.acc_seg: 96.7543, loss: 0.0955 2023-02-25 04:40:15,871 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 1 day, 0:55:14, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0640, decode.acc_seg: 97.3976, aux.loss_ce: 0.0351, aux.acc_seg: 96.5261, loss: 0.0991 2023-02-25 04:41:05,333 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 1 day, 0:54:24, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0650, decode.acc_seg: 97.4282, aux.loss_ce: 0.0342, aux.acc_seg: 96.6588, loss: 0.0992 2023-02-25 04:41:54,606 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 1 day, 0:53:33, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0633, decode.acc_seg: 97.4565, aux.loss_ce: 0.0344, aux.acc_seg: 96.5747, loss: 0.0977 2023-02-25 04:42:44,121 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 1 day, 0:52:43, time: 0.990, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0639, decode.acc_seg: 97.4082, aux.loss_ce: 0.0328, aux.acc_seg: 96.7630, loss: 0.0967 2023-02-25 04:43:36,084 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 1 day, 0:51:55, time: 1.039, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0613, decode.acc_seg: 97.5534, aux.loss_ce: 0.0316, aux.acc_seg: 96.8925, loss: 0.0929 2023-02-25 04:44:25,423 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 1 day, 0:51:05, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0634, decode.acc_seg: 97.4155, aux.loss_ce: 0.0325, aux.acc_seg: 96.7636, loss: 0.0959 2023-02-25 04:45:14,763 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 1 day, 0:50:14, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0633, decode.acc_seg: 97.4097, aux.loss_ce: 0.0331, aux.acc_seg: 96.7004, loss: 0.0964 2023-02-25 04:46:04,077 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 1 day, 0:49:23, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6615, aux.loss_ce: 0.0314, aux.acc_seg: 96.8678, loss: 0.0891 2023-02-25 04:46:53,326 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 1 day, 0:48:33, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0614, decode.acc_seg: 97.5012, aux.loss_ce: 0.0319, aux.acc_seg: 96.7998, loss: 0.0933 2023-02-25 04:47:42,736 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 1 day, 0:47:42, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.3957, aux.loss_ce: 0.0360, aux.acc_seg: 96.4543, loss: 0.1004 2023-02-25 04:48:32,113 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 1 day, 0:46:51, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4604, aux.loss_ce: 0.0331, aux.acc_seg: 96.7637, loss: 0.0963 2023-02-25 04:49:24,101 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 1 day, 0:46:04, time: 1.040, data_time: 0.061, memory: 19374, decode.loss_ce: 0.0642, decode.acc_seg: 97.4189, aux.loss_ce: 0.0335, aux.acc_seg: 96.6965, loss: 0.0977 2023-02-25 04:50:13,399 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 1 day, 0:45:13, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0630, decode.acc_seg: 97.4304, aux.loss_ce: 0.0337, aux.acc_seg: 96.6476, loss: 0.0966 2023-02-25 04:51:02,569 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 1 day, 0:44:22, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0689, decode.acc_seg: 97.2215, aux.loss_ce: 0.0362, aux.acc_seg: 96.4430, loss: 0.1051 2023-02-25 04:51:51,782 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 1 day, 0:43:32, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0653, decode.acc_seg: 97.3609, aux.loss_ce: 0.0338, aux.acc_seg: 96.6623, loss: 0.0991 2023-02-25 04:52:41,244 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 1 day, 0:42:41, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0645, decode.acc_seg: 97.4000, aux.loss_ce: 0.0334, aux.acc_seg: 96.7230, loss: 0.0979 2023-02-25 04:53:30,542 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 1 day, 0:41:50, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0696, decode.acc_seg: 97.2033, aux.loss_ce: 0.0354, aux.acc_seg: 96.5233, loss: 0.1049 2023-02-25 04:54:19,642 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 04:54:19,642 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 1 day, 0:40:59, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0638, decode.acc_seg: 97.4389, aux.loss_ce: 0.0332, aux.acc_seg: 96.7350, loss: 0.0970 2023-02-25 04:55:08,926 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 1 day, 0:40:09, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3988, aux.loss_ce: 0.0330, aux.acc_seg: 96.7682, loss: 0.0986 2023-02-25 04:56:00,778 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 1 day, 0:39:21, time: 1.037, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.4130, aux.loss_ce: 0.0326, aux.acc_seg: 96.7542, loss: 0.0960 2023-02-25 04:56:50,060 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 1 day, 0:38:31, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0603, decode.acc_seg: 97.5788, aux.loss_ce: 0.0320, aux.acc_seg: 96.8219, loss: 0.0923 2023-02-25 04:57:39,230 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 1 day, 0:37:40, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0698, decode.acc_seg: 97.2194, aux.loss_ce: 0.0359, aux.acc_seg: 96.4822, loss: 0.1057 2023-02-25 04:58:28,289 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 1 day, 0:36:49, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6407, aux.loss_ce: 0.0324, aux.acc_seg: 96.8119, loss: 0.0909 2023-02-25 04:59:17,443 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 1 day, 0:35:58, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.5219, aux.loss_ce: 0.0320, aux.acc_seg: 96.8741, loss: 0.0936 2023-02-25 05:00:06,829 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 1 day, 0:35:07, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0649, decode.acc_seg: 97.3732, aux.loss_ce: 0.0331, aux.acc_seg: 96.7306, loss: 0.0980 2023-02-25 05:00:56,239 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 1 day, 0:34:17, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0643, decode.acc_seg: 97.4115, aux.loss_ce: 0.0341, aux.acc_seg: 96.6632, loss: 0.0984 2023-02-25 05:01:47,915 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 1 day, 0:33:29, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0668, decode.acc_seg: 97.2729, aux.loss_ce: 0.0332, aux.acc_seg: 96.6954, loss: 0.0999 2023-02-25 05:02:37,254 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 1 day, 0:32:38, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4566, aux.loss_ce: 0.0330, aux.acc_seg: 96.7670, loss: 0.0962 2023-02-25 05:03:26,646 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 1 day, 0:31:48, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5793, aux.loss_ce: 0.0333, aux.acc_seg: 96.7231, loss: 0.0934 2023-02-25 05:04:15,945 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 1 day, 0:30:57, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0621, decode.acc_seg: 97.4503, aux.loss_ce: 0.0338, aux.acc_seg: 96.5964, loss: 0.0959 2023-02-25 05:05:05,224 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 1 day, 0:30:06, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0664, decode.acc_seg: 97.3423, aux.loss_ce: 0.0342, aux.acc_seg: 96.5937, loss: 0.1006 2023-02-25 05:05:54,666 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 1 day, 0:29:16, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0604, decode.acc_seg: 97.5715, aux.loss_ce: 0.0345, aux.acc_seg: 96.7484, loss: 0.0949 2023-02-25 05:06:43,840 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 1 day, 0:28:25, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0645, decode.acc_seg: 97.4120, aux.loss_ce: 0.0352, aux.acc_seg: 96.5476, loss: 0.0997 2023-02-25 05:07:35,992 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 1 day, 0:27:38, time: 1.043, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4480, aux.loss_ce: 0.0345, aux.acc_seg: 96.5703, loss: 0.0976 2023-02-25 05:08:25,212 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 1 day, 0:26:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4826, aux.loss_ce: 0.0334, aux.acc_seg: 96.7644, loss: 0.0966 2023-02-25 05:09:14,386 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 1 day, 0:25:56, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.4995, aux.loss_ce: 0.0323, aux.acc_seg: 96.8029, loss: 0.0938 2023-02-25 05:10:03,823 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 1 day, 0:25:06, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0598, decode.acc_seg: 97.5654, aux.loss_ce: 0.0309, aux.acc_seg: 96.9199, loss: 0.0906 2023-02-25 05:10:53,356 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:10:53,357 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 1 day, 0:24:15, time: 0.991, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0626, decode.acc_seg: 97.4653, aux.loss_ce: 0.0341, aux.acc_seg: 96.7260, loss: 0.0967 2023-02-25 05:11:42,661 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 1 day, 0:23:25, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0646, decode.acc_seg: 97.4164, aux.loss_ce: 0.0337, aux.acc_seg: 96.6765, loss: 0.0983 2023-02-25 05:12:31,909 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 1 day, 0:22:34, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0623, decode.acc_seg: 97.4202, aux.loss_ce: 0.0314, aux.acc_seg: 96.8409, loss: 0.0937 2023-02-25 05:13:21,330 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 1 day, 0:21:43, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.4111, aux.loss_ce: 0.0321, aux.acc_seg: 96.8185, loss: 0.0957 2023-02-25 05:14:13,526 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 1 day, 0:20:56, time: 1.044, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0614, decode.acc_seg: 97.5369, aux.loss_ce: 0.0344, aux.acc_seg: 96.6355, loss: 0.0958 2023-02-25 05:15:02,820 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 1 day, 0:20:06, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4867, aux.loss_ce: 0.0319, aux.acc_seg: 96.8748, loss: 0.0943 2023-02-25 05:15:52,360 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 1 day, 0:19:15, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0605, decode.acc_seg: 97.5657, aux.loss_ce: 0.0314, aux.acc_seg: 96.9392, loss: 0.0919 2023-02-25 05:16:41,611 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 1 day, 0:18:24, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.5117, aux.loss_ce: 0.0323, aux.acc_seg: 96.8146, loss: 0.0939 2023-02-25 05:17:31,032 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 1 day, 0:17:34, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.5127, aux.loss_ce: 0.0327, aux.acc_seg: 96.7316, loss: 0.0944 2023-02-25 05:18:20,555 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 1 day, 0:16:44, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0678, decode.acc_seg: 97.2082, aux.loss_ce: 0.0349, aux.acc_seg: 96.5513, loss: 0.1027 2023-02-25 05:19:09,799 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 1 day, 0:15:53, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.5053, aux.loss_ce: 0.0333, aux.acc_seg: 96.7066, loss: 0.0950 2023-02-25 05:20:01,300 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 1 day, 0:15:05, time: 1.030, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.6149, aux.loss_ce: 0.0345, aux.acc_seg: 96.6721, loss: 0.0938 2023-02-25 05:20:50,692 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 1 day, 0:14:14, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5538, aux.loss_ce: 0.0330, aux.acc_seg: 96.6898, loss: 0.0925 2023-02-25 05:21:39,932 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 1 day, 0:13:24, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0705, decode.acc_seg: 97.1381, aux.loss_ce: 0.0357, aux.acc_seg: 96.4771, loss: 0.1063 2023-02-25 05:22:29,362 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 1 day, 0:12:33, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0862, decode.acc_seg: 96.8025, aux.loss_ce: 0.0395, aux.acc_seg: 96.1835, loss: 0.1257 2023-02-25 05:23:18,624 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 1 day, 0:11:42, time: 0.985, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0745, decode.acc_seg: 97.0546, aux.loss_ce: 0.0384, aux.acc_seg: 96.2891, loss: 0.1128 2023-02-25 05:24:07,848 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 1 day, 0:10:52, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0647, decode.acc_seg: 97.3895, aux.loss_ce: 0.0334, aux.acc_seg: 96.6860, loss: 0.0980 2023-02-25 05:24:56,873 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 1 day, 0:10:01, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0738, decode.acc_seg: 97.1335, aux.loss_ce: 0.0358, aux.acc_seg: 96.5351, loss: 0.1096 2023-02-25 05:25:46,185 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 1 day, 0:09:10, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0755, decode.acc_seg: 97.1787, aux.loss_ce: 0.0413, aux.acc_seg: 96.1625, loss: 0.1168 2023-02-25 05:26:37,787 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 1 day, 0:08:22, time: 1.032, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.3878, aux.loss_ce: 0.0325, aux.acc_seg: 96.7952, loss: 0.0969 2023-02-25 05:27:27,172 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:27:27,173 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 1 day, 0:07:31, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4528, aux.loss_ce: 0.0330, aux.acc_seg: 96.7525, loss: 0.0962 2023-02-25 05:28:16,690 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 1 day, 0:06:41, time: 0.991, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0691, decode.acc_seg: 97.2179, aux.loss_ce: 0.0350, aux.acc_seg: 96.5563, loss: 0.1041 2023-02-25 05:29:05,942 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 1 day, 0:05:50, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0647, decode.acc_seg: 97.4153, aux.loss_ce: 0.0338, aux.acc_seg: 96.6304, loss: 0.0986 2023-02-25 05:29:55,401 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 1 day, 0:05:00, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0622, decode.acc_seg: 97.5009, aux.loss_ce: 0.0341, aux.acc_seg: 96.6465, loss: 0.0963 2023-02-25 05:30:44,588 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 1 day, 0:04:09, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0612, decode.acc_seg: 97.5816, aux.loss_ce: 0.0335, aux.acc_seg: 96.7496, loss: 0.0947 2023-02-25 05:31:33,800 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 1 day, 0:03:18, time: 0.984, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4705, aux.loss_ce: 0.0335, aux.acc_seg: 96.7165, loss: 0.0967 2023-02-25 05:32:25,839 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 1 day, 0:02:31, time: 1.041, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0666, decode.acc_seg: 97.3263, aux.loss_ce: 0.0351, aux.acc_seg: 96.5487, loss: 0.1017 2023-02-25 05:33:14,953 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 1 day, 0:01:40, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.3016, aux.loss_ce: 0.0377, aux.acc_seg: 96.3597, loss: 0.1058 2023-02-25 05:34:04,070 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 1 day, 0:00:49, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0592, decode.acc_seg: 97.5966, aux.loss_ce: 0.0311, aux.acc_seg: 96.9098, loss: 0.0903 2023-02-25 05:34:53,229 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 23:59:59, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.4817, aux.loss_ce: 0.0328, aux.acc_seg: 96.7646, loss: 0.0945 2023-02-25 05:35:42,466 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 23:59:08, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.5015, aux.loss_ce: 0.0316, aux.acc_seg: 96.8683, loss: 0.0932 2023-02-25 05:36:31,679 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 23:58:17, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0608, decode.acc_seg: 97.5728, aux.loss_ce: 0.0317, aux.acc_seg: 96.9100, loss: 0.0925 2023-02-25 05:37:20,731 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 23:57:26, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0597, decode.acc_seg: 97.5795, aux.loss_ce: 0.0326, aux.acc_seg: 96.7931, loss: 0.0923 2023-02-25 05:38:09,781 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 23:56:35, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0611, decode.acc_seg: 97.5237, aux.loss_ce: 0.0318, aux.acc_seg: 96.8411, loss: 0.0929 2023-02-25 05:39:01,598 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 23:55:48, time: 1.036, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.6060, aux.loss_ce: 0.0329, aux.acc_seg: 96.7580, loss: 0.0931 2023-02-25 05:39:50,789 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 23:54:57, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0658, decode.acc_seg: 97.3695, aux.loss_ce: 0.0348, aux.acc_seg: 96.5766, loss: 0.1005 2023-02-25 05:40:40,005 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 23:54:06, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0600, decode.acc_seg: 97.5665, aux.loss_ce: 0.0314, aux.acc_seg: 96.9016, loss: 0.0915 2023-02-25 05:41:29,300 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 23:53:15, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0655, decode.acc_seg: 97.3698, aux.loss_ce: 0.0332, aux.acc_seg: 96.7391, loss: 0.0986 2023-02-25 05:42:19,122 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 23:52:25, time: 0.996, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0618, decode.acc_seg: 97.5140, aux.loss_ce: 0.0344, aux.acc_seg: 96.5981, loss: 0.0962 2023-02-25 05:43:08,486 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 23:51:35, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0608, decode.acc_seg: 97.4974, aux.loss_ce: 0.0318, aux.acc_seg: 96.8023, loss: 0.0926 2023-02-25 05:43:57,786 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 05:43:57,786 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 23:50:44, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0623, decode.acc_seg: 97.5260, aux.loss_ce: 0.0328, aux.acc_seg: 96.7928, loss: 0.0951 2023-02-25 05:44:49,642 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 23:49:57, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0654, decode.acc_seg: 97.3301, aux.loss_ce: 0.0350, aux.acc_seg: 96.5053, loss: 0.1004 2023-02-25 05:45:38,927 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 23:49:06, time: 0.986, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0622, decode.acc_seg: 97.4691, aux.loss_ce: 0.0328, aux.acc_seg: 96.7338, loss: 0.0950 2023-02-25 05:46:28,262 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 23:48:15, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0618, decode.acc_seg: 97.4703, aux.loss_ce: 0.0319, aux.acc_seg: 96.8064, loss: 0.0937 2023-02-25 05:47:17,549 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 23:47:25, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.6417, aux.loss_ce: 0.0306, aux.acc_seg: 96.9580, loss: 0.0888 2023-02-25 05:48:06,878 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 23:46:34, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0654, decode.acc_seg: 97.3641, aux.loss_ce: 0.0358, aux.acc_seg: 96.4882, loss: 0.1012 2023-02-25 05:48:56,200 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 23:45:44, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0654, decode.acc_seg: 97.3271, aux.loss_ce: 0.0348, aux.acc_seg: 96.5516, loss: 0.1002 2023-02-25 05:49:45,392 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 23:44:53, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5633, aux.loss_ce: 0.0321, aux.acc_seg: 96.8269, loss: 0.0922 2023-02-25 05:50:34,668 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 23:44:02, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.6477, aux.loss_ce: 0.0320, aux.acc_seg: 96.8303, loss: 0.0899 2023-02-25 05:51:26,481 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 23:43:15, time: 1.036, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.6007, aux.loss_ce: 0.0312, aux.acc_seg: 96.9108, loss: 0.0906 2023-02-25 05:52:15,703 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 23:42:24, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6491, aux.loss_ce: 0.0314, aux.acc_seg: 96.8624, loss: 0.0887 2023-02-25 05:53:05,052 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 23:41:33, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0611, decode.acc_seg: 97.5214, aux.loss_ce: 0.0315, aux.acc_seg: 96.8939, loss: 0.0926 2023-02-25 05:53:54,370 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 23:40:43, time: 0.987, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0605, decode.acc_seg: 97.5281, aux.loss_ce: 0.0330, aux.acc_seg: 96.7216, loss: 0.0935 2023-02-25 05:54:43,746 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 23:39:52, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0638, decode.acc_seg: 97.4367, aux.loss_ce: 0.0343, aux.acc_seg: 96.6915, loss: 0.0982 2023-02-25 05:55:33,178 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 23:39:02, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0673, decode.acc_seg: 97.2620, aux.loss_ce: 0.0344, aux.acc_seg: 96.6084, loss: 0.1017 2023-02-25 05:56:22,531 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 23:38:11, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0627, decode.acc_seg: 97.4609, aux.loss_ce: 0.0327, aux.acc_seg: 96.8060, loss: 0.0954 2023-02-25 05:57:14,278 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 23:37:23, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0621, decode.acc_seg: 97.4826, aux.loss_ce: 0.0326, aux.acc_seg: 96.7773, loss: 0.0946 2023-02-25 05:58:03,777 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 23:36:33, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.4330, aux.loss_ce: 0.0332, aux.acc_seg: 96.7325, loss: 0.0976 2023-02-25 05:58:52,855 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 23:35:42, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0633, decode.acc_seg: 97.4520, aux.loss_ce: 0.0340, aux.acc_seg: 96.6753, loss: 0.0973 2023-02-25 05:59:41,971 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 23:34:51, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0609, decode.acc_seg: 97.5213, aux.loss_ce: 0.0322, aux.acc_seg: 96.7793, loss: 0.0931 2023-02-25 06:00:31,248 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:00:31,249 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 23:34:01, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0638, decode.acc_seg: 97.4293, aux.loss_ce: 0.0328, aux.acc_seg: 96.7732, loss: 0.0966 2023-02-25 06:01:20,499 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 23:33:10, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0630, decode.acc_seg: 97.4335, aux.loss_ce: 0.0342, aux.acc_seg: 96.5638, loss: 0.0973 2023-02-25 06:02:09,870 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 23:32:20, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0658, decode.acc_seg: 97.3866, aux.loss_ce: 0.0340, aux.acc_seg: 96.6423, loss: 0.0998 2023-02-25 06:03:02,050 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 23:31:32, time: 1.043, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0611, decode.acc_seg: 97.5237, aux.loss_ce: 0.0321, aux.acc_seg: 96.8427, loss: 0.0932 2023-02-25 06:03:50,806 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 23:30:41, time: 0.975, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0665, decode.acc_seg: 97.3699, aux.loss_ce: 0.0340, aux.acc_seg: 96.6511, loss: 0.1005 2023-02-25 06:04:39,350 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 23:29:50, time: 0.971, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0620, decode.acc_seg: 97.4985, aux.loss_ce: 0.0318, aux.acc_seg: 96.8412, loss: 0.0938 2023-02-25 06:05:27,862 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 23:28:58, time: 0.971, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5660, aux.loss_ce: 0.0328, aux.acc_seg: 96.7687, loss: 0.0936 2023-02-25 06:06:17,164 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 23:28:08, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0644, decode.acc_seg: 97.3847, aux.loss_ce: 0.0332, aux.acc_seg: 96.7086, loss: 0.0976 2023-02-25 06:07:06,525 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 23:27:17, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0617, decode.acc_seg: 97.5106, aux.loss_ce: 0.0324, aux.acc_seg: 96.8067, loss: 0.0941 2023-02-25 06:07:55,746 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 23:26:26, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0612, decode.acc_seg: 97.4945, aux.loss_ce: 0.0319, aux.acc_seg: 96.8152, loss: 0.0931 2023-02-25 06:08:45,180 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 23:25:36, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4582, aux.loss_ce: 0.0333, aux.acc_seg: 96.7393, loss: 0.0964 2023-02-25 06:09:36,846 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 23:24:48, time: 1.034, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0614, decode.acc_seg: 97.5190, aux.loss_ce: 0.0339, aux.acc_seg: 96.7060, loss: 0.0954 2023-02-25 06:10:25,848 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 23:23:57, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0625, decode.acc_seg: 97.4292, aux.loss_ce: 0.0331, aux.acc_seg: 96.7094, loss: 0.0955 2023-02-25 06:11:15,350 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 23:23:07, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0623, decode.acc_seg: 97.4678, aux.loss_ce: 0.0342, aux.acc_seg: 96.6380, loss: 0.0965 2023-02-25 06:12:04,538 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 23:22:16, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5394, aux.loss_ce: 0.0326, aux.acc_seg: 96.7762, loss: 0.0934 2023-02-25 06:12:53,959 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 23:21:26, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6672, aux.loss_ce: 0.0305, aux.acc_seg: 96.9733, loss: 0.0876 2023-02-25 06:13:43,006 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 23:20:35, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.5912, aux.loss_ce: 0.0305, aux.acc_seg: 96.9344, loss: 0.0891 2023-02-25 06:14:32,493 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 23:19:44, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.5208, aux.loss_ce: 0.0319, aux.acc_seg: 96.8501, loss: 0.0934 2023-02-25 06:15:23,842 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 23:18:56, time: 1.027, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5755, aux.loss_ce: 0.0313, aux.acc_seg: 96.8436, loss: 0.0904 2023-02-25 06:16:13,145 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 23:18:05, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.6279, aux.loss_ce: 0.0325, aux.acc_seg: 96.8416, loss: 0.0911 2023-02-25 06:17:02,248 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:17:02,249 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 23:17:15, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0592, decode.acc_seg: 97.5840, aux.loss_ce: 0.0315, aux.acc_seg: 96.8411, loss: 0.0907 2023-02-25 06:17:51,423 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 23:16:24, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0604, decode.acc_seg: 97.5526, aux.loss_ce: 0.0318, aux.acc_seg: 96.8677, loss: 0.0923 2023-02-25 06:18:40,803 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 23:15:33, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0636, decode.acc_seg: 97.3992, aux.loss_ce: 0.0319, aux.acc_seg: 96.8037, loss: 0.0955 2023-02-25 06:19:30,028 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 23:14:43, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0650, decode.acc_seg: 97.3495, aux.loss_ce: 0.0329, aux.acc_seg: 96.7527, loss: 0.0979 2023-02-25 06:20:19,422 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 23:13:52, time: 0.988, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4522, aux.loss_ce: 0.0322, aux.acc_seg: 96.8155, loss: 0.0947 2023-02-25 06:21:08,911 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 23:13:02, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4674, aux.loss_ce: 0.0324, aux.acc_seg: 96.8244, loss: 0.0956 2023-02-25 06:22:00,974 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 23:12:15, time: 1.041, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5858, aux.loss_ce: 0.0308, aux.acc_seg: 96.9111, loss: 0.0900 2023-02-25 06:22:50,456 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 23:11:24, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.4601, aux.loss_ce: 0.0332, aux.acc_seg: 96.7582, loss: 0.0951 2023-02-25 06:23:39,766 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 23:10:34, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0645, decode.acc_seg: 97.3942, aux.loss_ce: 0.0333, aux.acc_seg: 96.6497, loss: 0.0978 2023-02-25 06:24:28,867 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 23:09:43, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0608, decode.acc_seg: 97.5225, aux.loss_ce: 0.0329, aux.acc_seg: 96.7058, loss: 0.0937 2023-02-25 06:25:17,860 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 23:08:52, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0647, decode.acc_seg: 97.3851, aux.loss_ce: 0.0357, aux.acc_seg: 96.4693, loss: 0.1004 2023-02-25 06:26:06,987 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 23:08:01, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0693, decode.acc_seg: 97.2390, aux.loss_ce: 0.0342, aux.acc_seg: 96.6815, loss: 0.1035 2023-02-25 06:26:56,074 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 23:07:10, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0656, decode.acc_seg: 97.3218, aux.loss_ce: 0.0337, aux.acc_seg: 96.6114, loss: 0.0993 2023-02-25 06:27:48,509 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 23:06:23, time: 1.048, data_time: 0.066, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.5961, aux.loss_ce: 0.0341, aux.acc_seg: 96.7727, loss: 0.0940 2023-02-25 06:28:37,857 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 23:05:33, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0606, decode.acc_seg: 97.5310, aux.loss_ce: 0.0326, aux.acc_seg: 96.7848, loss: 0.0932 2023-02-25 06:29:27,057 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 23:04:42, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0636, decode.acc_seg: 97.4765, aux.loss_ce: 0.0346, aux.acc_seg: 96.6956, loss: 0.0982 2023-02-25 06:30:16,245 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 23:03:51, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0614, decode.acc_seg: 97.4882, aux.loss_ce: 0.0334, aux.acc_seg: 96.6655, loss: 0.0949 2023-02-25 06:31:05,459 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 23:03:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6118, aux.loss_ce: 0.0316, aux.acc_seg: 96.8636, loss: 0.0900 2023-02-25 06:31:54,787 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 23:02:10, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.4844, aux.loss_ce: 0.0325, aux.acc_seg: 96.7569, loss: 0.0944 2023-02-25 06:32:44,001 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 23:01:20, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0641, decode.acc_seg: 97.3735, aux.loss_ce: 0.0336, aux.acc_seg: 96.6205, loss: 0.0978 2023-02-25 06:33:33,151 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:33:33,151 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 23:00:29, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0594, decode.acc_seg: 97.5892, aux.loss_ce: 0.0317, aux.acc_seg: 96.8544, loss: 0.0911 2023-02-25 06:34:24,796 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 22:59:41, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0634, decode.acc_seg: 97.3808, aux.loss_ce: 0.0339, aux.acc_seg: 96.6491, loss: 0.0973 2023-02-25 06:35:13,912 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 22:58:50, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0600, decode.acc_seg: 97.5642, aux.loss_ce: 0.0321, aux.acc_seg: 96.8080, loss: 0.0920 2023-02-25 06:36:02,996 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 22:57:59, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0639, decode.acc_seg: 97.3924, aux.loss_ce: 0.0328, aux.acc_seg: 96.7103, loss: 0.0966 2023-02-25 06:36:52,551 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 22:57:09, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.5818, aux.loss_ce: 0.0319, aux.acc_seg: 96.8391, loss: 0.0912 2023-02-25 06:37:42,113 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 22:56:19, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4707, aux.loss_ce: 0.0328, aux.acc_seg: 96.7331, loss: 0.0952 2023-02-25 06:38:31,445 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 22:55:28, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0632, decode.acc_seg: 97.4739, aux.loss_ce: 0.0345, aux.acc_seg: 96.6035, loss: 0.0977 2023-02-25 06:39:20,658 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 22:54:38, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0704, decode.acc_seg: 97.2122, aux.loss_ce: 0.0350, aux.acc_seg: 96.5670, loss: 0.1053 2023-02-25 06:40:12,376 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 22:53:50, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0611, decode.acc_seg: 97.5284, aux.loss_ce: 0.0338, aux.acc_seg: 96.6191, loss: 0.0949 2023-02-25 06:41:01,672 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 22:52:59, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.6112, aux.loss_ce: 0.0320, aux.acc_seg: 96.8781, loss: 0.0919 2023-02-25 06:41:50,818 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 22:52:09, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0612, decode.acc_seg: 97.4959, aux.loss_ce: 0.0324, aux.acc_seg: 96.7823, loss: 0.0936 2023-02-25 06:42:40,154 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 22:51:18, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5985, aux.loss_ce: 0.0314, aux.acc_seg: 96.8894, loss: 0.0905 2023-02-25 06:43:30,117 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 22:50:28, time: 0.999, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0652, decode.acc_seg: 97.3447, aux.loss_ce: 0.0339, aux.acc_seg: 96.6349, loss: 0.0991 2023-02-25 06:44:19,238 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 22:49:38, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4697, aux.loss_ce: 0.0343, aux.acc_seg: 96.6292, loss: 0.0967 2023-02-25 06:45:08,547 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 22:48:47, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0651, decode.acc_seg: 97.4070, aux.loss_ce: 0.0341, aux.acc_seg: 96.6740, loss: 0.0992 2023-02-25 06:46:00,579 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 22:47:59, time: 1.041, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.6202, aux.loss_ce: 0.0314, aux.acc_seg: 96.9076, loss: 0.0900 2023-02-25 06:46:50,062 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 22:47:09, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.5753, aux.loss_ce: 0.0327, aux.acc_seg: 96.8204, loss: 0.0926 2023-02-25 06:47:39,207 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 22:46:18, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.5930, aux.loss_ce: 0.0313, aux.acc_seg: 96.8891, loss: 0.0903 2023-02-25 06:48:28,745 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 22:45:28, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0653, decode.acc_seg: 97.3727, aux.loss_ce: 0.0327, aux.acc_seg: 96.7468, loss: 0.0980 2023-02-25 06:49:18,179 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 22:44:38, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.4858, aux.loss_ce: 0.0323, aux.acc_seg: 96.7616, loss: 0.0937 2023-02-25 06:50:07,684 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 06:50:07,684 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 22:43:47, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0592, decode.acc_seg: 97.6101, aux.loss_ce: 0.0312, aux.acc_seg: 96.9274, loss: 0.0904 2023-02-25 06:50:56,995 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 22:42:57, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0564, decode.acc_seg: 97.7020, aux.loss_ce: 0.0303, aux.acc_seg: 97.0003, loss: 0.0867 2023-02-25 06:51:46,103 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 22:42:06, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5550, aux.loss_ce: 0.0321, aux.acc_seg: 96.8783, loss: 0.0922 2023-02-25 06:52:38,082 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 22:41:18, time: 1.040, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4532, aux.loss_ce: 0.0319, aux.acc_seg: 96.8267, loss: 0.0943 2023-02-25 06:53:27,511 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 22:40:28, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0609, decode.acc_seg: 97.5060, aux.loss_ce: 0.0306, aux.acc_seg: 96.9572, loss: 0.0915 2023-02-25 06:54:16,772 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 22:39:38, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.5926, aux.loss_ce: 0.0341, aux.acc_seg: 96.7354, loss: 0.0934 2023-02-25 06:55:06,253 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 22:38:47, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.6536, aux.loss_ce: 0.0323, aux.acc_seg: 96.8255, loss: 0.0903 2023-02-25 06:55:55,516 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 22:37:57, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0574, decode.acc_seg: 97.6680, aux.loss_ce: 0.0310, aux.acc_seg: 96.9014, loss: 0.0884 2023-02-25 06:56:44,966 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 22:37:06, time: 0.989, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.3906, aux.loss_ce: 0.0337, aux.acc_seg: 96.7336, loss: 0.0972 2023-02-25 06:57:34,461 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 22:36:16, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0603, decode.acc_seg: 97.5481, aux.loss_ce: 0.0330, aux.acc_seg: 96.7768, loss: 0.0933 2023-02-25 06:58:26,065 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 22:35:28, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4507, aux.loss_ce: 0.0322, aux.acc_seg: 96.8066, loss: 0.0946 2023-02-25 06:59:15,691 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 22:34:38, time: 0.992, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0606, decode.acc_seg: 97.5437, aux.loss_ce: 0.0316, aux.acc_seg: 96.8591, loss: 0.0922 2023-02-25 07:00:05,302 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 22:33:47, time: 0.992, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0615, decode.acc_seg: 97.5154, aux.loss_ce: 0.0319, aux.acc_seg: 96.8742, loss: 0.0934 2023-02-25 07:00:54,741 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 22:32:57, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.5847, aux.loss_ce: 0.0312, aux.acc_seg: 96.8187, loss: 0.0893 2023-02-25 07:01:44,232 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 22:32:07, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0611, decode.acc_seg: 97.4868, aux.loss_ce: 0.0322, aux.acc_seg: 96.7857, loss: 0.0932 2023-02-25 07:02:33,341 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 22:31:16, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.5750, aux.loss_ce: 0.0326, aux.acc_seg: 96.7904, loss: 0.0928 2023-02-25 07:03:22,842 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 22:30:26, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0628, decode.acc_seg: 97.4784, aux.loss_ce: 0.0324, aux.acc_seg: 96.8073, loss: 0.0951 2023-02-25 07:04:12,043 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 22:29:35, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7466, aux.loss_ce: 0.0285, aux.acc_seg: 97.1018, loss: 0.0831 2023-02-25 07:05:03,825 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 22:28:47, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0655, decode.acc_seg: 97.3747, aux.loss_ce: 0.0343, aux.acc_seg: 96.6417, loss: 0.0998 2023-02-25 07:05:53,291 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 22:27:57, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5804, aux.loss_ce: 0.0322, aux.acc_seg: 96.7658, loss: 0.0917 2023-02-25 07:06:42,550 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:06:42,551 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 22:27:06, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7523, aux.loss_ce: 0.0300, aux.acc_seg: 97.0246, loss: 0.0848 2023-02-25 07:07:31,627 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 22:26:16, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.5665, aux.loss_ce: 0.0334, aux.acc_seg: 96.7713, loss: 0.0936 2023-02-25 07:08:20,673 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 22:25:25, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0620, decode.acc_seg: 97.5034, aux.loss_ce: 0.0337, aux.acc_seg: 96.6968, loss: 0.0957 2023-02-25 07:09:10,140 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 22:24:35, time: 0.989, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0561, decode.acc_seg: 97.7320, aux.loss_ce: 0.0311, aux.acc_seg: 96.9174, loss: 0.0872 2023-02-25 07:09:59,245 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 22:23:44, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0610, decode.acc_seg: 97.5139, aux.loss_ce: 0.0317, aux.acc_seg: 96.8405, loss: 0.0927 2023-02-25 07:10:50,846 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 22:22:56, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0629, decode.acc_seg: 97.4492, aux.loss_ce: 0.0328, aux.acc_seg: 96.7590, loss: 0.0957 2023-02-25 07:11:40,104 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 22:22:05, time: 0.985, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5722, aux.loss_ce: 0.0314, aux.acc_seg: 96.8914, loss: 0.0908 2023-02-25 07:12:29,243 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 22:21:15, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.5122, aux.loss_ce: 0.0330, aux.acc_seg: 96.6773, loss: 0.0933 2023-02-25 07:13:18,394 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 22:20:24, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0594, decode.acc_seg: 97.5633, aux.loss_ce: 0.0310, aux.acc_seg: 96.8920, loss: 0.0904 2023-02-25 07:14:07,583 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 22:19:33, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0672, decode.acc_seg: 97.2699, aux.loss_ce: 0.0354, aux.acc_seg: 96.5060, loss: 0.1026 2023-02-25 07:14:56,786 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 22:18:43, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0570, decode.acc_seg: 97.6621, aux.loss_ce: 0.0306, aux.acc_seg: 96.9296, loss: 0.0876 2023-02-25 07:15:45,986 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 22:17:52, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.5696, aux.loss_ce: 0.0331, aux.acc_seg: 96.7657, loss: 0.0923 2023-02-25 07:16:35,453 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 22:17:02, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0681, decode.acc_seg: 97.2643, aux.loss_ce: 0.0331, aux.acc_seg: 96.7237, loss: 0.1012 2023-02-25 07:17:27,233 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 22:16:14, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.6530, aux.loss_ce: 0.0310, aux.acc_seg: 96.9368, loss: 0.0889 2023-02-25 07:18:16,431 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 22:15:23, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0594, decode.acc_seg: 97.5838, aux.loss_ce: 0.0311, aux.acc_seg: 96.8942, loss: 0.0905 2023-02-25 07:19:05,687 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 22:14:33, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6165, aux.loss_ce: 0.0320, aux.acc_seg: 96.8058, loss: 0.0901 2023-02-25 07:19:55,306 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 22:13:43, time: 0.993, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0605, decode.acc_seg: 97.5535, aux.loss_ce: 0.0318, aux.acc_seg: 96.8425, loss: 0.0923 2023-02-25 07:20:44,621 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 22:12:52, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0625, decode.acc_seg: 97.4399, aux.loss_ce: 0.0322, aux.acc_seg: 96.7766, loss: 0.0948 2023-02-25 07:21:33,910 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 22:12:02, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.7234, aux.loss_ce: 0.0316, aux.acc_seg: 96.8833, loss: 0.0885 2023-02-25 07:22:23,147 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 22:11:11, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0605, decode.acc_seg: 97.5448, aux.loss_ce: 0.0315, aux.acc_seg: 96.8682, loss: 0.0920 2023-02-25 07:23:14,846 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-02-25 07:23:21,676 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:23:21,680 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 22:10:30, time: 1.171, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5894, aux.loss_ce: 0.0314, aux.acc_seg: 96.8991, loss: 0.0909 2023-02-25 07:24:51,479 - mmseg - INFO - per class results: 2023-02-25 07:24:51,485 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.51 | 98.87 | | sidewalk | 86.21 | 96.95 | | building | 93.69 | 97.42 | | wall | 60.02 | 68.36 | | fence | 65.92 | 72.18 | | pole | 66.89 | 75.44 | | traffic light | 75.25 | 83.56 | | traffic sign | 82.9 | 87.38 | | vegetation | 93.15 | 96.77 | | terrain | 62.86 | 67.39 | | sky | 95.55 | 97.83 | | person | 85.71 | 93.79 | | rider | 67.11 | 79.97 | | car | 95.94 | 98.52 | | truck | 81.84 | 86.74 | | bus | 94.53 | 96.46 | | train | 88.89 | 89.86 | | motorcycle | 72.31 | 79.84 | | bicycle | 80.99 | 89.72 | +---------------+-------+-------+ 2023-02-25 07:24:51,485 - mmseg - INFO - Summary: 2023-02-25 07:24:51,485 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.63 | 81.49 | 87.21 | +-------+-------+-------+ 2023-02-25 07:24:51,486 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:24:51,486 - mmseg - INFO - Iter(val) [125] aAcc: 0.9663, mIoU: 0.8149, mAcc: 0.8721, IoU.road: 0.9851, IoU.sidewalk: 0.8621, IoU.building: 0.9369, IoU.wall: 0.6002, IoU.fence: 0.6592, IoU.pole: 0.6689, IoU.traffic light: 0.7525, IoU.traffic sign: 0.8290, IoU.vegetation: 0.9315, IoU.terrain: 0.6286, IoU.sky: 0.9555, IoU.person: 0.8571, IoU.rider: 0.6711, IoU.car: 0.9594, IoU.truck: 0.8184, IoU.bus: 0.9453, IoU.train: 0.8889, IoU.motorcycle: 0.7231, IoU.bicycle: 0.8099, Acc.road: 0.9887, Acc.sidewalk: 0.9695, Acc.building: 0.9742, Acc.wall: 0.6836, Acc.fence: 0.7218, Acc.pole: 0.7544, Acc.traffic light: 0.8356, Acc.traffic sign: 0.8738, Acc.vegetation: 0.9677, Acc.terrain: 0.6739, Acc.sky: 0.9783, Acc.person: 0.9379, Acc.rider: 0.7997, Acc.car: 0.9852, Acc.truck: 0.8674, Acc.bus: 0.9646, Acc.train: 0.8986, Acc.motorcycle: 0.7984, Acc.bicycle: 0.8972 2023-02-25 07:25:41,102 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 22:11:09, time: 2.789, data_time: 1.804, memory: 19374, decode.loss_ce: 0.0603, decode.acc_seg: 97.5610, aux.loss_ce: 0.0306, aux.acc_seg: 96.9773, loss: 0.0909 2023-02-25 07:26:30,286 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 22:10:19, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.5150, aux.loss_ce: 0.0318, aux.acc_seg: 96.8447, loss: 0.0937 2023-02-25 07:27:19,645 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 22:09:28, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.6057, aux.loss_ce: 0.0316, aux.acc_seg: 96.8689, loss: 0.0904 2023-02-25 07:28:08,965 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 22:08:37, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0606, decode.acc_seg: 97.5197, aux.loss_ce: 0.0313, aux.acc_seg: 96.8887, loss: 0.0918 2023-02-25 07:28:58,103 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 22:07:47, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4389, aux.loss_ce: 0.0335, aux.acc_seg: 96.6667, loss: 0.0966 2023-02-25 07:29:47,312 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 22:06:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0596, decode.acc_seg: 97.5425, aux.loss_ce: 0.0313, aux.acc_seg: 96.8481, loss: 0.0909 2023-02-25 07:30:36,530 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 22:06:05, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6749, aux.loss_ce: 0.0306, aux.acc_seg: 96.9904, loss: 0.0883 2023-02-25 07:31:28,791 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 22:05:18, time: 1.045, data_time: 0.068, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.4536, aux.loss_ce: 0.0332, aux.acc_seg: 96.7636, loss: 0.0951 2023-02-25 07:32:18,152 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 22:04:27, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.6241, aux.loss_ce: 0.0319, aux.acc_seg: 96.8738, loss: 0.0908 2023-02-25 07:33:07,394 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 22:03:37, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6888, aux.loss_ce: 0.0314, aux.acc_seg: 96.8760, loss: 0.0886 2023-02-25 07:33:56,633 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 22:02:46, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.6382, aux.loss_ce: 0.0318, aux.acc_seg: 96.8760, loss: 0.0906 2023-02-25 07:34:45,749 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 22:01:55, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6595, aux.loss_ce: 0.0316, aux.acc_seg: 96.8803, loss: 0.0893 2023-02-25 07:35:34,629 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 22:01:04, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0629, decode.acc_seg: 97.4143, aux.loss_ce: 0.0321, aux.acc_seg: 96.7744, loss: 0.0950 2023-02-25 07:36:23,077 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 22:00:13, time: 0.969, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0613, decode.acc_seg: 97.4778, aux.loss_ce: 0.0317, aux.acc_seg: 96.8472, loss: 0.0930 2023-02-25 07:37:14,127 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 21:59:24, time: 1.021, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5902, aux.loss_ce: 0.0308, aux.acc_seg: 96.9387, loss: 0.0893 2023-02-25 07:38:03,154 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 21:58:33, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0610, decode.acc_seg: 97.5076, aux.loss_ce: 0.0314, aux.acc_seg: 96.8765, loss: 0.0924 2023-02-25 07:38:52,453 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 21:57:42, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0567, decode.acc_seg: 97.6619, aux.loss_ce: 0.0310, aux.acc_seg: 96.8848, loss: 0.0877 2023-02-25 07:39:41,718 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 21:56:52, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0604, decode.acc_seg: 97.5338, aux.loss_ce: 0.0329, aux.acc_seg: 96.7714, loss: 0.0933 2023-02-25 07:40:30,968 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 21:56:01, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6061, aux.loss_ce: 0.0312, aux.acc_seg: 96.8687, loss: 0.0896 2023-02-25 07:41:20,588 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:41:20,589 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 21:55:11, time: 0.992, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.6237, aux.loss_ce: 0.0321, aux.acc_seg: 96.8372, loss: 0.0911 2023-02-25 07:42:09,757 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 21:54:20, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0574, decode.acc_seg: 97.6453, aux.loss_ce: 0.0313, aux.acc_seg: 96.8882, loss: 0.0886 2023-02-25 07:43:01,148 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 21:53:32, time: 1.028, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0600, decode.acc_seg: 97.5557, aux.loss_ce: 0.0327, aux.acc_seg: 96.7170, loss: 0.0927 2023-02-25 07:43:50,467 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 21:52:41, time: 0.987, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0627, decode.acc_seg: 97.4109, aux.loss_ce: 0.0315, aux.acc_seg: 96.8209, loss: 0.0943 2023-02-25 07:44:39,558 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 21:51:50, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.6148, aux.loss_ce: 0.0312, aux.acc_seg: 96.9267, loss: 0.0905 2023-02-25 07:45:29,107 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 21:51:00, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5454, aux.loss_ce: 0.0322, aux.acc_seg: 96.7761, loss: 0.0923 2023-02-25 07:46:18,594 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 21:50:10, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5505, aux.loss_ce: 0.0303, aux.acc_seg: 96.9892, loss: 0.0904 2023-02-25 07:47:08,088 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 21:49:19, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4332, aux.loss_ce: 0.0324, aux.acc_seg: 96.7910, loss: 0.0955 2023-02-25 07:47:57,463 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 21:48:29, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4284, aux.loss_ce: 0.0313, aux.acc_seg: 96.8651, loss: 0.0937 2023-02-25 07:48:46,756 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 21:47:38, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6994, aux.loss_ce: 0.0314, aux.acc_seg: 96.8801, loss: 0.0883 2023-02-25 07:49:38,579 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 21:46:50, time: 1.036, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0605, decode.acc_seg: 97.5536, aux.loss_ce: 0.0301, aux.acc_seg: 97.0324, loss: 0.0906 2023-02-25 07:50:27,742 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 21:45:59, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6550, aux.loss_ce: 0.0300, aux.acc_seg: 97.0281, loss: 0.0878 2023-02-25 07:51:16,754 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 21:45:09, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.6375, aux.loss_ce: 0.0313, aux.acc_seg: 96.8947, loss: 0.0892 2023-02-25 07:52:05,843 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 21:44:18, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5192, aux.loss_ce: 0.0316, aux.acc_seg: 96.8571, loss: 0.0923 2023-02-25 07:52:54,999 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 21:43:27, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5274, aux.loss_ce: 0.0308, aux.acc_seg: 96.9460, loss: 0.0915 2023-02-25 07:53:44,033 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 21:42:36, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.6521, aux.loss_ce: 0.0312, aux.acc_seg: 96.8924, loss: 0.0892 2023-02-25 07:54:33,245 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 21:41:46, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0598, decode.acc_seg: 97.5424, aux.loss_ce: 0.0317, aux.acc_seg: 96.8408, loss: 0.0916 2023-02-25 07:55:24,895 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 21:40:57, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.6178, aux.loss_ce: 0.0312, aux.acc_seg: 96.9245, loss: 0.0898 2023-02-25 07:56:14,395 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 21:40:07, time: 0.990, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6488, aux.loss_ce: 0.0323, aux.acc_seg: 96.8594, loss: 0.0904 2023-02-25 07:57:03,695 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 21:39:16, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0587, decode.acc_seg: 97.6048, aux.loss_ce: 0.0332, aux.acc_seg: 96.6954, loss: 0.0918 2023-02-25 07:57:52,915 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 07:57:52,915 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 21:38:26, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6323, aux.loss_ce: 0.0310, aux.acc_seg: 96.8835, loss: 0.0887 2023-02-25 07:58:42,198 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 21:37:35, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.5529, aux.loss_ce: 0.0310, aux.acc_seg: 96.9171, loss: 0.0910 2023-02-25 07:59:31,552 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 21:36:45, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0609, decode.acc_seg: 97.5322, aux.loss_ce: 0.0309, aux.acc_seg: 96.9527, loss: 0.0918 2023-02-25 08:00:21,235 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 21:35:55, time: 0.994, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0620, decode.acc_seg: 97.4729, aux.loss_ce: 0.0323, aux.acc_seg: 96.7879, loss: 0.0943 2023-02-25 08:01:10,877 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 21:35:04, time: 0.993, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6403, aux.loss_ce: 0.0304, aux.acc_seg: 97.0005, loss: 0.0888 2023-02-25 08:02:02,529 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 21:34:16, time: 1.033, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0618, decode.acc_seg: 97.4732, aux.loss_ce: 0.0322, aux.acc_seg: 96.8182, loss: 0.0941 2023-02-25 08:02:51,963 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 21:33:26, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6211, aux.loss_ce: 0.0323, aux.acc_seg: 96.7819, loss: 0.0904 2023-02-25 08:03:41,133 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 21:32:35, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0587, decode.acc_seg: 97.5830, aux.loss_ce: 0.0311, aux.acc_seg: 96.8870, loss: 0.0898 2023-02-25 08:04:30,558 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 21:31:44, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.6110, aux.loss_ce: 0.0321, aux.acc_seg: 96.8760, loss: 0.0910 2023-02-25 08:05:19,976 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 21:30:54, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.6512, aux.loss_ce: 0.0311, aux.acc_seg: 96.9520, loss: 0.0890 2023-02-25 08:06:09,453 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 21:30:04, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0571, decode.acc_seg: 97.6725, aux.loss_ce: 0.0314, aux.acc_seg: 96.8996, loss: 0.0885 2023-02-25 08:06:58,857 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 21:29:13, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0665, decode.acc_seg: 97.3965, aux.loss_ce: 0.0346, aux.acc_seg: 96.6079, loss: 0.1011 2023-02-25 08:07:50,908 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 21:28:25, time: 1.041, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5519, aux.loss_ce: 0.0318, aux.acc_seg: 96.8612, loss: 0.0925 2023-02-25 08:08:40,394 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 21:27:35, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0607, decode.acc_seg: 97.5458, aux.loss_ce: 0.0326, aux.acc_seg: 96.8058, loss: 0.0933 2023-02-25 08:09:29,672 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 21:26:44, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7254, aux.loss_ce: 0.0295, aux.acc_seg: 97.0775, loss: 0.0856 2023-02-25 08:10:18,827 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 21:25:54, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5862, aux.loss_ce: 0.0324, aux.acc_seg: 96.7715, loss: 0.0915 2023-02-25 08:11:07,905 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 21:25:03, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.6292, aux.loss_ce: 0.0320, aux.acc_seg: 96.8812, loss: 0.0913 2023-02-25 08:11:57,096 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 21:24:12, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0603, decode.acc_seg: 97.5224, aux.loss_ce: 0.0314, aux.acc_seg: 96.8641, loss: 0.0917 2023-02-25 08:12:46,545 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 21:23:22, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5861, aux.loss_ce: 0.0297, aux.acc_seg: 97.0051, loss: 0.0882 2023-02-25 08:13:36,444 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 21:22:32, time: 0.998, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7488, aux.loss_ce: 0.0296, aux.acc_seg: 97.0303, loss: 0.0843 2023-02-25 08:14:28,533 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:14:28,534 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 21:21:44, time: 1.042, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.5885, aux.loss_ce: 0.0299, aux.acc_seg: 97.0118, loss: 0.0887 2023-02-25 08:15:17,806 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 21:20:53, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5884, aux.loss_ce: 0.0321, aux.acc_seg: 96.8151, loss: 0.0913 2023-02-25 08:16:07,143 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 21:20:03, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0587, decode.acc_seg: 97.5899, aux.loss_ce: 0.0306, aux.acc_seg: 96.9442, loss: 0.0893 2023-02-25 08:16:56,421 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 21:19:12, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0587, decode.acc_seg: 97.5925, aux.loss_ce: 0.0304, aux.acc_seg: 96.9277, loss: 0.0891 2023-02-25 08:17:45,696 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 21:18:22, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6713, aux.loss_ce: 0.0304, aux.acc_seg: 96.9790, loss: 0.0876 2023-02-25 08:18:34,828 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 21:17:31, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7678, aux.loss_ce: 0.0297, aux.acc_seg: 97.0764, loss: 0.0847 2023-02-25 08:19:24,323 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 21:16:41, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6577, aux.loss_ce: 0.0316, aux.acc_seg: 96.8549, loss: 0.0893 2023-02-25 08:20:16,221 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 21:15:53, time: 1.038, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.4335, aux.loss_ce: 0.0322, aux.acc_seg: 96.8391, loss: 0.0957 2023-02-25 08:21:05,579 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 21:15:02, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.5401, aux.loss_ce: 0.0300, aux.acc_seg: 96.9923, loss: 0.0899 2023-02-25 08:21:54,907 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 21:14:12, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0576, decode.acc_seg: 97.6367, aux.loss_ce: 0.0303, aux.acc_seg: 97.0004, loss: 0.0879 2023-02-25 08:22:44,375 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 21:13:21, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7487, aux.loss_ce: 0.0301, aux.acc_seg: 96.9882, loss: 0.0846 2023-02-25 08:23:33,583 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 21:12:31, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6495, aux.loss_ce: 0.0299, aux.acc_seg: 96.9892, loss: 0.0872 2023-02-25 08:24:22,946 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 21:11:40, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.6397, aux.loss_ce: 0.0302, aux.acc_seg: 96.9807, loss: 0.0881 2023-02-25 08:25:12,471 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 21:10:50, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5796, aux.loss_ce: 0.0311, aux.acc_seg: 96.9052, loss: 0.0906 2023-02-25 08:26:01,605 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 21:09:59, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.6029, aux.loss_ce: 0.0320, aux.acc_seg: 96.8971, loss: 0.0908 2023-02-25 08:26:53,456 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 21:09:11, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5827, aux.loss_ce: 0.0307, aux.acc_seg: 96.9816, loss: 0.0908 2023-02-25 08:27:42,709 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 21:08:21, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0613, decode.acc_seg: 97.4947, aux.loss_ce: 0.0322, aux.acc_seg: 96.8260, loss: 0.0935 2023-02-25 08:28:31,896 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 21:07:30, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6149, aux.loss_ce: 0.0320, aux.acc_seg: 96.8293, loss: 0.0901 2023-02-25 08:29:21,577 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 21:06:40, time: 0.994, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0635, decode.acc_seg: 97.3910, aux.loss_ce: 0.0324, aux.acc_seg: 96.7413, loss: 0.0959 2023-02-25 08:30:10,966 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 21:05:49, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7245, aux.loss_ce: 0.0316, aux.acc_seg: 96.8899, loss: 0.0875 2023-02-25 08:31:00,054 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:31:00,055 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 21:04:59, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6280, aux.loss_ce: 0.0301, aux.acc_seg: 97.0186, loss: 0.0885 2023-02-25 08:31:49,277 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 21:04:08, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.5784, aux.loss_ce: 0.0307, aux.acc_seg: 96.9211, loss: 0.0897 2023-02-25 08:32:40,841 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 21:03:20, time: 1.031, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0597, decode.acc_seg: 97.5613, aux.loss_ce: 0.0296, aux.acc_seg: 97.0406, loss: 0.0894 2023-02-25 08:33:30,196 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 21:02:29, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.5943, aux.loss_ce: 0.0304, aux.acc_seg: 96.9303, loss: 0.0887 2023-02-25 08:34:19,430 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 21:01:39, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.4844, aux.loss_ce: 0.0313, aux.acc_seg: 96.8152, loss: 0.0916 2023-02-25 08:35:08,770 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 21:00:48, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6810, aux.loss_ce: 0.0291, aux.acc_seg: 97.1131, loss: 0.0863 2023-02-25 08:35:58,166 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 20:59:58, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0571, decode.acc_seg: 97.6499, aux.loss_ce: 0.0319, aux.acc_seg: 96.8333, loss: 0.0890 2023-02-25 08:36:47,445 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 20:59:07, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7176, aux.loss_ce: 0.0303, aux.acc_seg: 96.9350, loss: 0.0857 2023-02-25 08:37:36,776 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 20:58:17, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7520, aux.loss_ce: 0.0296, aux.acc_seg: 97.0485, loss: 0.0847 2023-02-25 08:38:28,977 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 20:57:29, time: 1.044, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.6176, aux.loss_ce: 0.0303, aux.acc_seg: 96.9925, loss: 0.0888 2023-02-25 08:39:18,129 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 20:56:38, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7865, aux.loss_ce: 0.0295, aux.acc_seg: 97.0417, loss: 0.0833 2023-02-25 08:40:07,476 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 20:55:48, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0594, decode.acc_seg: 97.5734, aux.loss_ce: 0.0320, aux.acc_seg: 96.8183, loss: 0.0914 2023-02-25 08:40:56,714 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 20:54:57, time: 0.985, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0575, decode.acc_seg: 97.6282, aux.loss_ce: 0.0312, aux.acc_seg: 96.8876, loss: 0.0887 2023-02-25 08:41:45,814 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 20:54:07, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0608, decode.acc_seg: 97.5369, aux.loss_ce: 0.0312, aux.acc_seg: 96.9317, loss: 0.0920 2023-02-25 08:42:34,939 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 20:53:16, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0594, decode.acc_seg: 97.5793, aux.loss_ce: 0.0304, aux.acc_seg: 96.9642, loss: 0.0898 2023-02-25 08:43:23,943 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 20:52:25, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0562, decode.acc_seg: 97.7298, aux.loss_ce: 0.0300, aux.acc_seg: 97.0234, loss: 0.0862 2023-02-25 08:44:13,424 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 20:51:35, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0598, decode.acc_seg: 97.5588, aux.loss_ce: 0.0306, aux.acc_seg: 96.9320, loss: 0.0904 2023-02-25 08:45:05,395 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 20:50:47, time: 1.039, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0564, decode.acc_seg: 97.6661, aux.loss_ce: 0.0291, aux.acc_seg: 97.0645, loss: 0.0855 2023-02-25 08:45:54,556 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 20:49:56, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5653, aux.loss_ce: 0.0308, aux.acc_seg: 96.9031, loss: 0.0904 2023-02-25 08:46:43,870 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 20:49:06, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.5802, aux.loss_ce: 0.0305, aux.acc_seg: 96.9604, loss: 0.0894 2023-02-25 08:47:33,217 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 08:47:33,217 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 20:48:15, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.5522, aux.loss_ce: 0.0308, aux.acc_seg: 96.9489, loss: 0.0910 2023-02-25 08:48:22,871 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 20:47:25, time: 0.993, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7421, aux.loss_ce: 0.0294, aux.acc_seg: 97.0458, loss: 0.0845 2023-02-25 08:49:12,404 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 20:46:35, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.6608, aux.loss_ce: 0.0307, aux.acc_seg: 96.9808, loss: 0.0890 2023-02-25 08:50:02,708 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 20:45:45, time: 1.006, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.5934, aux.loss_ce: 0.0315, aux.acc_seg: 96.8525, loss: 0.0906 2023-02-25 08:50:55,267 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 20:44:57, time: 1.051, data_time: 0.068, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.5549, aux.loss_ce: 0.0314, aux.acc_seg: 96.8773, loss: 0.0913 2023-02-25 08:51:44,463 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 20:44:07, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.6340, aux.loss_ce: 0.0326, aux.acc_seg: 96.8200, loss: 0.0909 2023-02-25 08:52:33,576 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 20:43:16, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0565, decode.acc_seg: 97.6739, aux.loss_ce: 0.0309, aux.acc_seg: 96.8998, loss: 0.0875 2023-02-25 08:53:22,797 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 20:42:26, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0709, decode.acc_seg: 97.3252, aux.loss_ce: 0.0348, aux.acc_seg: 96.6408, loss: 0.1057 2023-02-25 08:54:12,344 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 20:41:35, time: 0.991, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0631, decode.acc_seg: 97.4595, aux.loss_ce: 0.0334, aux.acc_seg: 96.6583, loss: 0.0965 2023-02-25 08:55:01,771 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 20:40:45, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.5307, aux.loss_ce: 0.0319, aux.acc_seg: 96.7992, loss: 0.0921 2023-02-25 08:55:51,079 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 20:39:55, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0599, decode.acc_seg: 97.5887, aux.loss_ce: 0.0332, aux.acc_seg: 96.7742, loss: 0.0931 2023-02-25 08:56:40,468 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 20:39:04, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0614, decode.acc_seg: 97.5215, aux.loss_ce: 0.0315, aux.acc_seg: 96.8738, loss: 0.0930 2023-02-25 08:57:32,560 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 20:38:16, time: 1.042, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6291, aux.loss_ce: 0.0316, aux.acc_seg: 96.8885, loss: 0.0897 2023-02-25 08:58:22,453 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 20:37:26, time: 0.998, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6689, aux.loss_ce: 0.0306, aux.acc_seg: 96.9280, loss: 0.0876 2023-02-25 08:59:11,628 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 20:36:36, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.6359, aux.loss_ce: 0.0302, aux.acc_seg: 96.9988, loss: 0.0887 2023-02-25 09:00:01,047 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 20:35:45, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6129, aux.loss_ce: 0.0306, aux.acc_seg: 96.9387, loss: 0.0887 2023-02-25 09:00:50,373 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 20:34:55, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6618, aux.loss_ce: 0.0300, aux.acc_seg: 96.9948, loss: 0.0873 2023-02-25 09:01:39,654 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 20:34:04, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6694, aux.loss_ce: 0.0308, aux.acc_seg: 96.9493, loss: 0.0881 2023-02-25 09:02:28,734 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 20:33:14, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.4904, aux.loss_ce: 0.0335, aux.acc_seg: 96.6870, loss: 0.0954 2023-02-25 09:03:20,800 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 20:32:26, time: 1.041, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6774, aux.loss_ce: 0.0299, aux.acc_seg: 97.0124, loss: 0.0863 2023-02-25 09:04:10,275 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:04:10,275 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 20:31:35, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0576, decode.acc_seg: 97.6292, aux.loss_ce: 0.0302, aux.acc_seg: 96.9636, loss: 0.0878 2023-02-25 09:05:00,154 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 20:30:45, time: 0.998, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6631, aux.loss_ce: 0.0320, aux.acc_seg: 96.8200, loss: 0.0893 2023-02-25 09:05:49,307 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 20:29:55, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6419, aux.loss_ce: 0.0318, aux.acc_seg: 96.8806, loss: 0.0895 2023-02-25 09:06:38,206 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 20:29:04, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0683, decode.acc_seg: 97.3809, aux.loss_ce: 0.0333, aux.acc_seg: 96.8225, loss: 0.1016 2023-02-25 09:07:27,455 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 20:28:13, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.5919, aux.loss_ce: 0.0296, aux.acc_seg: 97.0178, loss: 0.0881 2023-02-25 09:08:16,954 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 20:27:23, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6318, aux.loss_ce: 0.0308, aux.acc_seg: 96.9056, loss: 0.0886 2023-02-25 09:09:05,523 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 20:26:32, time: 0.971, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0609, decode.acc_seg: 97.5655, aux.loss_ce: 0.0318, aux.acc_seg: 96.8507, loss: 0.0927 2023-02-25 09:09:56,430 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 20:25:43, time: 1.018, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.5841, aux.loss_ce: 0.0321, aux.acc_seg: 96.7824, loss: 0.0914 2023-02-25 09:10:45,189 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 20:24:52, time: 0.975, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0571, decode.acc_seg: 97.6883, aux.loss_ce: 0.0308, aux.acc_seg: 96.9300, loss: 0.0880 2023-02-25 09:11:34,546 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 20:24:01, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0537, decode.acc_seg: 97.7872, aux.loss_ce: 0.0305, aux.acc_seg: 96.9303, loss: 0.0842 2023-02-25 09:12:23,785 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 20:23:11, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.5828, aux.loss_ce: 0.0313, aux.acc_seg: 96.8986, loss: 0.0901 2023-02-25 09:13:13,146 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 20:22:21, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6298, aux.loss_ce: 0.0292, aux.acc_seg: 97.0608, loss: 0.0870 2023-02-25 09:14:02,051 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 20:21:30, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.6189, aux.loss_ce: 0.0308, aux.acc_seg: 96.9298, loss: 0.0891 2023-02-25 09:14:51,654 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 20:20:40, time: 0.992, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0624, decode.acc_seg: 97.4499, aux.loss_ce: 0.0330, aux.acc_seg: 96.7349, loss: 0.0953 2023-02-25 09:15:43,461 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 20:19:51, time: 1.036, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.5928, aux.loss_ce: 0.0320, aux.acc_seg: 96.8166, loss: 0.0910 2023-02-25 09:16:32,639 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 20:19:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6433, aux.loss_ce: 0.0310, aux.acc_seg: 96.9333, loss: 0.0891 2023-02-25 09:17:21,793 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 20:18:10, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6991, aux.loss_ce: 0.0301, aux.acc_seg: 96.9772, loss: 0.0864 2023-02-25 09:18:11,081 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 20:17:20, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0574, decode.acc_seg: 97.6665, aux.loss_ce: 0.0310, aux.acc_seg: 96.9290, loss: 0.0884 2023-02-25 09:19:00,376 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 20:16:29, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8448, aux.loss_ce: 0.0286, aux.acc_seg: 97.1498, loss: 0.0813 2023-02-25 09:19:49,598 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 20:15:39, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5880, aux.loss_ce: 0.0312, aux.acc_seg: 96.8849, loss: 0.0903 2023-02-25 09:20:38,890 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:20:38,891 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 20:14:48, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0616, decode.acc_seg: 97.4596, aux.loss_ce: 0.0307, aux.acc_seg: 96.9385, loss: 0.0923 2023-02-25 09:21:30,554 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 20:14:00, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0619, decode.acc_seg: 97.5142, aux.loss_ce: 0.0321, aux.acc_seg: 96.8268, loss: 0.0939 2023-02-25 09:22:19,831 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 20:13:09, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6387, aux.loss_ce: 0.0306, aux.acc_seg: 96.9266, loss: 0.0879 2023-02-25 09:23:09,202 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 20:12:19, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5502, aux.loss_ce: 0.0309, aux.acc_seg: 96.9056, loss: 0.0910 2023-02-25 09:23:58,495 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 20:11:28, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5864, aux.loss_ce: 0.0296, aux.acc_seg: 97.0222, loss: 0.0880 2023-02-25 09:24:47,522 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 20:10:38, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7676, aux.loss_ce: 0.0285, aux.acc_seg: 97.1303, loss: 0.0827 2023-02-25 09:25:36,662 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 20:09:47, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7659, aux.loss_ce: 0.0286, aux.acc_seg: 97.1378, loss: 0.0831 2023-02-25 09:26:25,886 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 20:08:57, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0568, decode.acc_seg: 97.6829, aux.loss_ce: 0.0306, aux.acc_seg: 96.9605, loss: 0.0874 2023-02-25 09:27:15,172 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 20:08:06, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0602, decode.acc_seg: 97.5719, aux.loss_ce: 0.0310, aux.acc_seg: 96.9363, loss: 0.0912 2023-02-25 09:28:06,883 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 20:07:18, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8269, aux.loss_ce: 0.0290, aux.acc_seg: 97.0826, loss: 0.0817 2023-02-25 09:28:56,006 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 20:06:27, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6626, aux.loss_ce: 0.0300, aux.acc_seg: 96.9961, loss: 0.0872 2023-02-25 09:29:45,253 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 20:05:37, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0559, decode.acc_seg: 97.6987, aux.loss_ce: 0.0288, aux.acc_seg: 97.0943, loss: 0.0847 2023-02-25 09:30:34,338 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 20:04:46, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6525, aux.loss_ce: 0.0293, aux.acc_seg: 97.0247, loss: 0.0856 2023-02-25 09:31:23,426 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 20:03:56, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0574, decode.acc_seg: 97.6503, aux.loss_ce: 0.0300, aux.acc_seg: 97.0094, loss: 0.0873 2023-02-25 09:32:13,029 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 20:03:05, time: 0.992, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.6166, aux.loss_ce: 0.0305, aux.acc_seg: 96.9471, loss: 0.0888 2023-02-25 09:33:02,268 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 20:02:15, time: 0.985, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.6019, aux.loss_ce: 0.0301, aux.acc_seg: 96.9598, loss: 0.0881 2023-02-25 09:33:54,012 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 20:01:26, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6963, aux.loss_ce: 0.0308, aux.acc_seg: 96.9356, loss: 0.0871 2023-02-25 09:34:43,178 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 20:00:36, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.6063, aux.loss_ce: 0.0303, aux.acc_seg: 96.9870, loss: 0.0884 2023-02-25 09:35:32,789 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 19:59:46, time: 0.993, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.6062, aux.loss_ce: 0.0310, aux.acc_seg: 96.9247, loss: 0.0898 2023-02-25 09:36:22,493 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 19:58:56, time: 0.994, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0559, decode.acc_seg: 97.7205, aux.loss_ce: 0.0303, aux.acc_seg: 96.9923, loss: 0.0862 2023-02-25 09:37:11,745 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:37:11,745 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 19:58:05, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.5816, aux.loss_ce: 0.0318, aux.acc_seg: 96.8393, loss: 0.0906 2023-02-25 09:38:01,190 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 19:57:15, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0601, decode.acc_seg: 97.5491, aux.loss_ce: 0.0338, aux.acc_seg: 96.7308, loss: 0.0939 2023-02-25 09:38:50,431 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 19:56:24, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0564, decode.acc_seg: 97.6927, aux.loss_ce: 0.0294, aux.acc_seg: 97.0712, loss: 0.0858 2023-02-25 09:39:39,603 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 19:55:34, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5879, aux.loss_ce: 0.0307, aux.acc_seg: 96.9404, loss: 0.0898 2023-02-25 09:40:31,296 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 19:54:45, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6449, aux.loss_ce: 0.0306, aux.acc_seg: 96.9080, loss: 0.0880 2023-02-25 09:41:20,507 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 19:53:55, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5746, aux.loss_ce: 0.0308, aux.acc_seg: 96.9120, loss: 0.0893 2023-02-25 09:42:09,787 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 19:53:04, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.6470, aux.loss_ce: 0.0308, aux.acc_seg: 96.9547, loss: 0.0892 2023-02-25 09:42:59,278 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 19:52:14, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0595, decode.acc_seg: 97.5668, aux.loss_ce: 0.0313, aux.acc_seg: 96.9038, loss: 0.0907 2023-02-25 09:43:48,842 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 19:51:24, time: 0.992, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.8118, aux.loss_ce: 0.0297, aux.acc_seg: 97.0717, loss: 0.0832 2023-02-25 09:44:37,914 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 19:50:33, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6548, aux.loss_ce: 0.0294, aux.acc_seg: 97.0463, loss: 0.0863 2023-02-25 09:45:27,485 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 19:49:43, time: 0.991, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0574, decode.acc_seg: 97.6754, aux.loss_ce: 0.0309, aux.acc_seg: 96.9306, loss: 0.0882 2023-02-25 09:46:19,311 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 19:48:55, time: 1.036, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6607, aux.loss_ce: 0.0295, aux.acc_seg: 97.0582, loss: 0.0867 2023-02-25 09:47:08,680 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 19:48:04, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6160, aux.loss_ce: 0.0304, aux.acc_seg: 96.9598, loss: 0.0882 2023-02-25 09:47:58,085 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 19:47:14, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0588, decode.acc_seg: 97.6016, aux.loss_ce: 0.0307, aux.acc_seg: 96.9656, loss: 0.0895 2023-02-25 09:48:47,885 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 19:46:24, time: 0.996, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0571, decode.acc_seg: 97.6859, aux.loss_ce: 0.0317, aux.acc_seg: 96.8937, loss: 0.0889 2023-02-25 09:49:36,967 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 19:45:33, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0581, decode.acc_seg: 97.6075, aux.loss_ce: 0.0311, aux.acc_seg: 96.8878, loss: 0.0892 2023-02-25 09:50:26,156 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 19:44:43, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.6034, aux.loss_ce: 0.0303, aux.acc_seg: 96.9595, loss: 0.0887 2023-02-25 09:51:15,277 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 19:43:52, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.5775, aux.loss_ce: 0.0314, aux.acc_seg: 96.8606, loss: 0.0907 2023-02-25 09:52:04,567 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 19:43:02, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6512, aux.loss_ce: 0.0302, aux.acc_seg: 97.0280, loss: 0.0879 2023-02-25 09:52:56,064 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 19:42:13, time: 1.030, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8527, aux.loss_ce: 0.0287, aux.acc_seg: 97.1239, loss: 0.0810 2023-02-25 09:53:45,325 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 09:53:45,326 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 19:41:23, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0562, decode.acc_seg: 97.6814, aux.loss_ce: 0.0315, aux.acc_seg: 96.8713, loss: 0.0877 2023-02-25 09:54:34,549 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 19:40:32, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.5831, aux.loss_ce: 0.0304, aux.acc_seg: 96.9091, loss: 0.0894 2023-02-25 09:55:24,135 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 19:39:42, time: 0.992, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7265, aux.loss_ce: 0.0303, aux.acc_seg: 96.9770, loss: 0.0861 2023-02-25 09:56:13,452 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 19:38:52, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0613, decode.acc_seg: 97.4798, aux.loss_ce: 0.0311, aux.acc_seg: 96.8989, loss: 0.0924 2023-02-25 09:57:03,215 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 19:38:02, time: 0.995, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6760, aux.loss_ce: 0.0290, aux.acc_seg: 97.1018, loss: 0.0858 2023-02-25 09:57:52,961 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 19:37:12, time: 0.995, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6167, aux.loss_ce: 0.0300, aux.acc_seg: 96.9751, loss: 0.0877 2023-02-25 09:58:44,595 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 19:36:23, time: 1.032, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6242, aux.loss_ce: 0.0301, aux.acc_seg: 96.9694, loss: 0.0879 2023-02-25 09:59:34,073 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 19:35:33, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6693, aux.loss_ce: 0.0310, aux.acc_seg: 96.9640, loss: 0.0883 2023-02-25 10:00:23,360 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 19:34:43, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0565, decode.acc_seg: 97.6865, aux.loss_ce: 0.0308, aux.acc_seg: 96.9104, loss: 0.0873 2023-02-25 10:01:13,345 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 19:33:53, time: 1.000, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6418, aux.loss_ce: 0.0301, aux.acc_seg: 96.9871, loss: 0.0872 2023-02-25 10:02:03,001 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 19:33:03, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0575, decode.acc_seg: 97.6616, aux.loss_ce: 0.0303, aux.acc_seg: 96.9792, loss: 0.0878 2023-02-25 10:02:51,923 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 19:32:12, time: 0.978, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0559, decode.acc_seg: 97.6885, aux.loss_ce: 0.0294, aux.acc_seg: 97.0218, loss: 0.0854 2023-02-25 10:03:41,072 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 19:31:21, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7018, aux.loss_ce: 0.0308, aux.acc_seg: 96.9563, loss: 0.0865 2023-02-25 10:04:30,407 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 19:30:31, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7747, aux.loss_ce: 0.0283, aux.acc_seg: 97.1745, loss: 0.0831 2023-02-25 10:05:22,087 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 19:29:42, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6585, aux.loss_ce: 0.0306, aux.acc_seg: 96.9346, loss: 0.0878 2023-02-25 10:06:11,055 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 19:28:52, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7486, aux.loss_ce: 0.0294, aux.acc_seg: 97.0532, loss: 0.0848 2023-02-25 10:07:00,054 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 19:28:01, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0597, decode.acc_seg: 97.5522, aux.loss_ce: 0.0309, aux.acc_seg: 96.9259, loss: 0.0906 2023-02-25 10:07:49,227 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 19:27:11, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.8162, aux.loss_ce: 0.0294, aux.acc_seg: 97.1088, loss: 0.0827 2023-02-25 10:08:38,312 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 19:26:20, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7075, aux.loss_ce: 0.0297, aux.acc_seg: 97.0350, loss: 0.0852 2023-02-25 10:09:27,482 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 19:25:30, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0593, decode.acc_seg: 97.5387, aux.loss_ce: 0.0313, aux.acc_seg: 96.8360, loss: 0.0906 2023-02-25 10:10:16,510 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:10:16,511 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 19:24:39, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8005, aux.loss_ce: 0.0284, aux.acc_seg: 97.1664, loss: 0.0816 2023-02-25 10:11:08,260 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 19:23:50, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0570, decode.acc_seg: 97.6609, aux.loss_ce: 0.0298, aux.acc_seg: 97.0114, loss: 0.0869 2023-02-25 10:11:57,676 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 19:23:00, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0567, decode.acc_seg: 97.6632, aux.loss_ce: 0.0294, aux.acc_seg: 97.0300, loss: 0.0861 2023-02-25 10:12:46,839 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 19:22:10, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6617, aux.loss_ce: 0.0300, aux.acc_seg: 97.0130, loss: 0.0873 2023-02-25 10:13:35,899 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 19:21:19, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7293, aux.loss_ce: 0.0290, aux.acc_seg: 97.0886, loss: 0.0840 2023-02-25 10:14:25,123 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 19:20:29, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6984, aux.loss_ce: 0.0305, aux.acc_seg: 96.9454, loss: 0.0865 2023-02-25 10:15:14,299 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 19:19:38, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7306, aux.loss_ce: 0.0308, aux.acc_seg: 96.9121, loss: 0.0865 2023-02-25 10:16:03,129 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 19:18:47, time: 0.977, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6836, aux.loss_ce: 0.0304, aux.acc_seg: 96.9518, loss: 0.0866 2023-02-25 10:16:54,697 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 19:17:59, time: 1.031, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0549, decode.acc_seg: 97.7532, aux.loss_ce: 0.0292, aux.acc_seg: 97.0828, loss: 0.0841 2023-02-25 10:17:44,083 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 19:17:08, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7914, aux.loss_ce: 0.0291, aux.acc_seg: 97.1016, loss: 0.0831 2023-02-25 10:18:33,451 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 19:16:18, time: 0.987, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0575, decode.acc_seg: 97.6393, aux.loss_ce: 0.0300, aux.acc_seg: 96.9767, loss: 0.0875 2023-02-25 10:19:22,821 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 19:15:28, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0584, decode.acc_seg: 97.6519, aux.loss_ce: 0.0309, aux.acc_seg: 96.9628, loss: 0.0894 2023-02-25 10:20:12,263 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 19:14:38, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0606, decode.acc_seg: 97.5540, aux.loss_ce: 0.0313, aux.acc_seg: 96.8416, loss: 0.0919 2023-02-25 10:21:01,550 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 19:13:47, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5985, aux.loss_ce: 0.0312, aux.acc_seg: 96.9045, loss: 0.0897 2023-02-25 10:21:51,063 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 19:12:57, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0568, decode.acc_seg: 97.6772, aux.loss_ce: 0.0302, aux.acc_seg: 96.9815, loss: 0.0870 2023-02-25 10:22:40,477 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 19:12:07, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8320, aux.loss_ce: 0.0293, aux.acc_seg: 97.0519, loss: 0.0821 2023-02-25 10:23:32,397 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 19:11:18, time: 1.038, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0567, decode.acc_seg: 97.6655, aux.loss_ce: 0.0299, aux.acc_seg: 97.0202, loss: 0.0866 2023-02-25 10:24:21,599 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 19:10:28, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7303, aux.loss_ce: 0.0298, aux.acc_seg: 96.9978, loss: 0.0852 2023-02-25 10:25:10,855 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 19:09:37, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0604, decode.acc_seg: 97.5655, aux.loss_ce: 0.0311, aux.acc_seg: 96.9285, loss: 0.0915 2023-02-25 10:25:59,959 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 19:08:47, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0577, decode.acc_seg: 97.6466, aux.loss_ce: 0.0297, aux.acc_seg: 97.0217, loss: 0.0874 2023-02-25 10:26:49,080 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:26:49,081 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 19:07:56, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0566, decode.acc_seg: 97.6699, aux.loss_ce: 0.0304, aux.acc_seg: 96.9468, loss: 0.0870 2023-02-25 10:27:38,429 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 19:07:06, time: 0.987, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8413, aux.loss_ce: 0.0287, aux.acc_seg: 97.1116, loss: 0.0813 2023-02-25 10:28:27,762 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 19:06:16, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0552, decode.acc_seg: 97.7433, aux.loss_ce: 0.0288, aux.acc_seg: 97.1314, loss: 0.0840 2023-02-25 10:29:19,553 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 19:05:27, time: 1.036, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7124, aux.loss_ce: 0.0296, aux.acc_seg: 97.0269, loss: 0.0852 2023-02-25 10:30:08,731 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 19:04:37, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7990, aux.loss_ce: 0.0289, aux.acc_seg: 97.0954, loss: 0.0823 2023-02-25 10:30:58,076 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 19:03:46, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0566, decode.acc_seg: 97.6866, aux.loss_ce: 0.0287, aux.acc_seg: 97.1425, loss: 0.0853 2023-02-25 10:31:47,482 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 19:02:56, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0571, decode.acc_seg: 97.6655, aux.loss_ce: 0.0303, aux.acc_seg: 96.9653, loss: 0.0873 2023-02-25 10:32:36,789 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 19:02:06, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0561, decode.acc_seg: 97.7105, aux.loss_ce: 0.0304, aux.acc_seg: 96.9598, loss: 0.0865 2023-02-25 10:33:25,969 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 19:01:15, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0576, decode.acc_seg: 97.6143, aux.loss_ce: 0.0304, aux.acc_seg: 96.9337, loss: 0.0880 2023-02-25 10:34:15,146 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 19:00:25, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7397, aux.loss_ce: 0.0289, aux.acc_seg: 97.0955, loss: 0.0839 2023-02-25 10:35:04,579 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 18:59:35, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0568, decode.acc_seg: 97.6557, aux.loss_ce: 0.0298, aux.acc_seg: 97.0038, loss: 0.0866 2023-02-25 10:35:56,443 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 18:58:46, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0561, decode.acc_seg: 97.6822, aux.loss_ce: 0.0292, aux.acc_seg: 97.0711, loss: 0.0853 2023-02-25 10:36:45,706 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 18:57:56, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.8420, aux.loss_ce: 0.0289, aux.acc_seg: 97.1271, loss: 0.0827 2023-02-25 10:37:34,804 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 18:57:05, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7758, aux.loss_ce: 0.0311, aux.acc_seg: 96.9751, loss: 0.0858 2023-02-25 10:38:23,998 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 18:56:15, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0562, decode.acc_seg: 97.7043, aux.loss_ce: 0.0305, aux.acc_seg: 96.9606, loss: 0.0867 2023-02-25 10:39:13,643 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 18:55:25, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5868, aux.loss_ce: 0.0305, aux.acc_seg: 96.9318, loss: 0.0890 2023-02-25 10:40:02,912 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 18:54:34, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.6391, aux.loss_ce: 0.0306, aux.acc_seg: 96.9721, loss: 0.0888 2023-02-25 10:40:52,478 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 18:53:44, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0570, decode.acc_seg: 97.6642, aux.loss_ce: 0.0301, aux.acc_seg: 96.9966, loss: 0.0871 2023-02-25 10:41:43,930 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 18:52:55, time: 1.029, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0596, decode.acc_seg: 97.5630, aux.loss_ce: 0.0311, aux.acc_seg: 96.8998, loss: 0.0907 2023-02-25 10:42:33,271 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 18:52:05, time: 0.987, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7997, aux.loss_ce: 0.0292, aux.acc_seg: 97.1260, loss: 0.0832 2023-02-25 10:43:21,548 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:43:21,548 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 18:51:14, time: 0.966, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0575, decode.acc_seg: 97.6274, aux.loss_ce: 0.0302, aux.acc_seg: 96.9731, loss: 0.0876 2023-02-25 10:44:10,209 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 18:50:23, time: 0.973, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7232, aux.loss_ce: 0.0306, aux.acc_seg: 96.9195, loss: 0.0860 2023-02-25 10:44:59,794 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 18:49:33, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0571, decode.acc_seg: 97.6311, aux.loss_ce: 0.0304, aux.acc_seg: 96.9252, loss: 0.0875 2023-02-25 10:45:48,884 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 18:48:42, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.8212, aux.loss_ce: 0.0292, aux.acc_seg: 97.0594, loss: 0.0824 2023-02-25 10:46:38,152 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 18:47:52, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0567, decode.acc_seg: 97.6969, aux.loss_ce: 0.0306, aux.acc_seg: 96.9746, loss: 0.0873 2023-02-25 10:47:27,254 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 18:47:02, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6821, aux.loss_ce: 0.0288, aux.acc_seg: 97.1145, loss: 0.0851 2023-02-25 10:48:18,825 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 18:46:13, time: 1.031, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.6957, aux.loss_ce: 0.0287, aux.acc_seg: 97.0996, loss: 0.0841 2023-02-25 10:49:08,044 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 18:45:22, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7669, aux.loss_ce: 0.0288, aux.acc_seg: 97.0870, loss: 0.0828 2023-02-25 10:49:57,377 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 18:44:32, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0575, decode.acc_seg: 97.6452, aux.loss_ce: 0.0302, aux.acc_seg: 96.9825, loss: 0.0877 2023-02-25 10:50:46,715 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 18:43:42, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0552, decode.acc_seg: 97.7094, aux.loss_ce: 0.0297, aux.acc_seg: 96.9836, loss: 0.0849 2023-02-25 10:51:36,255 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 18:42:52, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6513, aux.loss_ce: 0.0302, aux.acc_seg: 96.9500, loss: 0.0871 2023-02-25 10:52:25,472 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 18:42:01, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7904, aux.loss_ce: 0.0284, aux.acc_seg: 97.1225, loss: 0.0819 2023-02-25 10:53:14,520 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 18:41:11, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7601, aux.loss_ce: 0.0290, aux.acc_seg: 97.0707, loss: 0.0836 2023-02-25 10:54:06,746 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 18:40:22, time: 1.045, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0559, decode.acc_seg: 97.7095, aux.loss_ce: 0.0301, aux.acc_seg: 96.9834, loss: 0.0860 2023-02-25 10:54:55,819 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 18:39:32, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7106, aux.loss_ce: 0.0302, aux.acc_seg: 97.0026, loss: 0.0859 2023-02-25 10:55:45,050 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 18:38:42, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.7023, aux.loss_ce: 0.0297, aux.acc_seg: 97.0556, loss: 0.0859 2023-02-25 10:56:34,325 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 18:37:51, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.5880, aux.loss_ce: 0.0312, aux.acc_seg: 96.8609, loss: 0.0895 2023-02-25 10:57:23,615 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 18:37:01, time: 0.986, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.7126, aux.loss_ce: 0.0296, aux.acc_seg: 97.0238, loss: 0.0851 2023-02-25 10:58:12,839 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 18:36:10, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7336, aux.loss_ce: 0.0291, aux.acc_seg: 97.1088, loss: 0.0842 2023-02-25 10:59:01,844 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 18:35:20, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0564, decode.acc_seg: 97.6688, aux.loss_ce: 0.0311, aux.acc_seg: 96.8528, loss: 0.0874 2023-02-25 10:59:51,147 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 10:59:51,147 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 18:34:30, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0552, decode.acc_seg: 97.7300, aux.loss_ce: 0.0299, aux.acc_seg: 97.0083, loss: 0.0851 2023-02-25 11:00:42,991 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 18:33:41, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0585, decode.acc_seg: 97.5916, aux.loss_ce: 0.0301, aux.acc_seg: 96.9927, loss: 0.0886 2023-02-25 11:01:32,332 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 18:32:51, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.6222, aux.loss_ce: 0.0298, aux.acc_seg: 97.0121, loss: 0.0887 2023-02-25 11:02:21,644 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 18:32:00, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.5956, aux.loss_ce: 0.0309, aux.acc_seg: 96.9043, loss: 0.0895 2023-02-25 11:03:10,863 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 18:31:10, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.5994, aux.loss_ce: 0.0301, aux.acc_seg: 96.9942, loss: 0.0891 2023-02-25 11:04:00,240 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 18:30:20, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7866, aux.loss_ce: 0.0295, aux.acc_seg: 97.0817, loss: 0.0840 2023-02-25 11:04:49,713 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 18:29:30, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.6426, aux.loss_ce: 0.0314, aux.acc_seg: 96.8953, loss: 0.0894 2023-02-25 11:05:38,861 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 18:28:39, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7480, aux.loss_ce: 0.0292, aux.acc_seg: 97.0244, loss: 0.0834 2023-02-25 11:06:30,482 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 18:27:50, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6466, aux.loss_ce: 0.0297, aux.acc_seg: 97.0197, loss: 0.0869 2023-02-25 11:07:19,780 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 18:27:00, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8015, aux.loss_ce: 0.0279, aux.acc_seg: 97.1803, loss: 0.0806 2023-02-25 11:08:08,905 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 18:26:10, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7331, aux.loss_ce: 0.0290, aux.acc_seg: 97.0936, loss: 0.0836 2023-02-25 11:08:58,181 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 18:25:19, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8254, aux.loss_ce: 0.0285, aux.acc_seg: 97.1594, loss: 0.0812 2023-02-25 11:09:47,158 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 18:24:29, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6575, aux.loss_ce: 0.0297, aux.acc_seg: 97.0371, loss: 0.0870 2023-02-25 11:10:36,707 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 18:23:39, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7496, aux.loss_ce: 0.0295, aux.acc_seg: 97.0460, loss: 0.0845 2023-02-25 11:11:25,877 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 18:22:48, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8805, aux.loss_ce: 0.0281, aux.acc_seg: 97.1919, loss: 0.0797 2023-02-25 11:12:18,169 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 18:22:00, time: 1.046, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.7180, aux.loss_ce: 0.0293, aux.acc_seg: 97.0752, loss: 0.0848 2023-02-25 11:13:07,399 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 18:21:10, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0594, decode.acc_seg: 97.5973, aux.loss_ce: 0.0311, aux.acc_seg: 96.9479, loss: 0.0905 2023-02-25 11:13:56,373 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 18:20:19, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.7234, aux.loss_ce: 0.0286, aux.acc_seg: 97.1355, loss: 0.0839 2023-02-25 11:14:45,372 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 18:19:28, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.5898, aux.loss_ce: 0.0298, aux.acc_seg: 97.0274, loss: 0.0887 2023-02-25 11:15:34,679 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 18:18:38, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0549, decode.acc_seg: 97.7462, aux.loss_ce: 0.0290, aux.acc_seg: 97.0813, loss: 0.0839 2023-02-25 11:16:23,817 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:16:23,817 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 18:17:48, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7076, aux.loss_ce: 0.0280, aux.acc_seg: 97.1716, loss: 0.0837 2023-02-25 11:17:13,076 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 18:16:57, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7315, aux.loss_ce: 0.0293, aux.acc_seg: 97.0215, loss: 0.0837 2023-02-25 11:18:02,304 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 18:16:07, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7378, aux.loss_ce: 0.0300, aux.acc_seg: 97.0438, loss: 0.0848 2023-02-25 11:18:53,994 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 18:15:18, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0558, decode.acc_seg: 97.6850, aux.loss_ce: 0.0303, aux.acc_seg: 96.9176, loss: 0.0861 2023-02-25 11:19:43,549 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 18:14:28, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0648, decode.acc_seg: 97.5060, aux.loss_ce: 0.0315, aux.acc_seg: 96.8877, loss: 0.0963 2023-02-25 11:20:32,724 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 18:13:38, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7121, aux.loss_ce: 0.0296, aux.acc_seg: 97.0524, loss: 0.0856 2023-02-25 11:21:22,083 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 18:12:48, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7561, aux.loss_ce: 0.0285, aux.acc_seg: 97.1166, loss: 0.0829 2023-02-25 11:22:11,209 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 18:11:57, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7450, aux.loss_ce: 0.0302, aux.acc_seg: 96.9702, loss: 0.0847 2023-02-25 11:23:00,449 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 18:11:07, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.5952, aux.loss_ce: 0.0310, aux.acc_seg: 96.8768, loss: 0.0889 2023-02-25 11:23:49,752 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 18:10:16, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0562, decode.acc_seg: 97.6653, aux.loss_ce: 0.0302, aux.acc_seg: 96.9607, loss: 0.0864 2023-02-25 11:24:41,940 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 18:09:28, time: 1.044, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7739, aux.loss_ce: 0.0296, aux.acc_seg: 97.0405, loss: 0.0837 2023-02-25 11:25:31,172 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 18:08:38, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.6206, aux.loss_ce: 0.0300, aux.acc_seg: 97.0290, loss: 0.0880 2023-02-25 11:26:20,422 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 18:07:47, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0591, decode.acc_seg: 97.5757, aux.loss_ce: 0.0315, aux.acc_seg: 96.8685, loss: 0.0906 2023-02-25 11:27:09,798 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 18:06:57, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0539, decode.acc_seg: 97.7498, aux.loss_ce: 0.0288, aux.acc_seg: 97.0799, loss: 0.0827 2023-02-25 11:27:59,183 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 18:06:07, time: 0.988, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0546, decode.acc_seg: 97.7672, aux.loss_ce: 0.0300, aux.acc_seg: 97.0140, loss: 0.0846 2023-02-25 11:28:48,424 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 18:05:17, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7096, aux.loss_ce: 0.0290, aux.acc_seg: 97.0968, loss: 0.0850 2023-02-25 11:29:37,693 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 18:04:26, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0546, decode.acc_seg: 97.7668, aux.loss_ce: 0.0293, aux.acc_seg: 97.1005, loss: 0.0840 2023-02-25 11:30:26,732 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 18:03:36, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8893, aux.loss_ce: 0.0281, aux.acc_seg: 97.1563, loss: 0.0791 2023-02-25 11:31:18,558 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 18:02:47, time: 1.036, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8398, aux.loss_ce: 0.0289, aux.acc_seg: 97.0908, loss: 0.0809 2023-02-25 11:32:07,902 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 18:01:57, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.6005, aux.loss_ce: 0.0308, aux.acc_seg: 96.9263, loss: 0.0890 2023-02-25 11:32:57,187 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:32:57,187 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 18:01:07, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8376, aux.loss_ce: 0.0276, aux.acc_seg: 97.2251, loss: 0.0801 2023-02-25 11:33:46,476 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 18:00:16, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0566, decode.acc_seg: 97.6524, aux.loss_ce: 0.0295, aux.acc_seg: 97.0202, loss: 0.0861 2023-02-25 11:34:35,821 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 17:59:26, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6636, aux.loss_ce: 0.0293, aux.acc_seg: 97.0567, loss: 0.0863 2023-02-25 11:35:25,250 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 17:58:36, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6320, aux.loss_ce: 0.0299, aux.acc_seg: 96.9716, loss: 0.0878 2023-02-25 11:36:14,629 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 17:57:45, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7627, aux.loss_ce: 0.0294, aux.acc_seg: 97.0428, loss: 0.0838 2023-02-25 11:37:06,817 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 17:56:57, time: 1.044, data_time: 0.066, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8568, aux.loss_ce: 0.0280, aux.acc_seg: 97.1659, loss: 0.0795 2023-02-25 11:37:56,093 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 17:56:07, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0570, decode.acc_seg: 97.6273, aux.loss_ce: 0.0302, aux.acc_seg: 96.9530, loss: 0.0871 2023-02-25 11:38:45,389 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 17:55:16, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7196, aux.loss_ce: 0.0289, aux.acc_seg: 97.0866, loss: 0.0840 2023-02-25 11:39:34,678 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 17:54:26, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8287, aux.loss_ce: 0.0283, aux.acc_seg: 97.1433, loss: 0.0811 2023-02-25 11:40:24,210 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 17:53:36, time: 0.991, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7484, aux.loss_ce: 0.0284, aux.acc_seg: 97.1307, loss: 0.0827 2023-02-25 11:41:13,439 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 17:52:46, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7590, aux.loss_ce: 0.0286, aux.acc_seg: 97.1210, loss: 0.0831 2023-02-25 11:42:02,725 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 17:51:55, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0558, decode.acc_seg: 97.7051, aux.loss_ce: 0.0287, aux.acc_seg: 97.1136, loss: 0.0845 2023-02-25 11:42:52,012 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 17:51:05, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8361, aux.loss_ce: 0.0290, aux.acc_seg: 97.1010, loss: 0.0822 2023-02-25 11:43:43,427 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 17:50:16, time: 1.028, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0556, decode.acc_seg: 97.7188, aux.loss_ce: 0.0300, aux.acc_seg: 97.0178, loss: 0.0856 2023-02-25 11:44:32,641 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 17:49:26, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7927, aux.loss_ce: 0.0285, aux.acc_seg: 97.1253, loss: 0.0820 2023-02-25 11:45:21,836 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 17:48:35, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7587, aux.loss_ce: 0.0289, aux.acc_seg: 97.0795, loss: 0.0833 2023-02-25 11:46:10,962 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 17:47:45, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0586, decode.acc_seg: 97.5756, aux.loss_ce: 0.0313, aux.acc_seg: 96.9052, loss: 0.0899 2023-02-25 11:47:00,173 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 17:46:55, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0610, decode.acc_seg: 97.5185, aux.loss_ce: 0.0305, aux.acc_seg: 96.9690, loss: 0.0916 2023-02-25 11:47:49,451 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 17:46:04, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.7194, aux.loss_ce: 0.0304, aux.acc_seg: 96.9882, loss: 0.0858 2023-02-25 11:48:38,606 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 17:45:14, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6843, aux.loss_ce: 0.0292, aux.acc_seg: 97.0670, loss: 0.0854 2023-02-25 11:49:30,232 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-02-25 11:49:36,836 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:49:36,839 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 17:44:30, time: 1.165, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.6904, aux.loss_ce: 0.0291, aux.acc_seg: 97.0789, loss: 0.0854 2023-02-25 11:51:06,548 - mmseg - INFO - per class results: 2023-02-25 11:51:06,551 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.63 | 99.27 | | sidewalk | 88.34 | 94.28 | | building | 93.47 | 97.62 | | wall | 61.73 | 69.75 | | fence | 65.86 | 72.59 | | pole | 69.15 | 80.67 | | traffic light | 75.27 | 82.84 | | traffic sign | 83.11 | 88.47 | | vegetation | 93.04 | 96.14 | | terrain | 67.64 | 75.5 | | sky | 95.03 | 98.87 | | person | 85.77 | 92.3 | | rider | 67.87 | 79.3 | | car | 96.01 | 98.19 | | truck | 85.36 | 90.0 | | bus | 94.13 | 95.79 | | train | 90.88 | 92.69 | | motorcycle | 74.07 | 83.86 | | bicycle | 81.26 | 89.41 | +---------------+-------+-------+ 2023-02-25 11:51:06,551 - mmseg - INFO - Summary: 2023-02-25 11:51:06,552 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.73 | 82.45 | 88.29 | +-------+-------+-------+ 2023-02-25 11:51:06,567 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_48000.pth was removed 2023-02-25 11:51:13,305 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. 2023-02-25 11:51:13,306 - mmseg - INFO - Best mIoU is 0.8245 at 96000 iter. 2023-02-25 11:51:13,306 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 11:51:13,307 - mmseg - INFO - Iter(val) [125] aAcc: 0.9673, mIoU: 0.8245, mAcc: 0.8829, IoU.road: 0.9863, IoU.sidewalk: 0.8834, IoU.building: 0.9347, IoU.wall: 0.6173, IoU.fence: 0.6586, IoU.pole: 0.6915, IoU.traffic light: 0.7527, IoU.traffic sign: 0.8311, IoU.vegetation: 0.9304, IoU.terrain: 0.6764, IoU.sky: 0.9503, IoU.person: 0.8577, IoU.rider: 0.6787, IoU.car: 0.9601, IoU.truck: 0.8536, IoU.bus: 0.9413, IoU.train: 0.9088, IoU.motorcycle: 0.7407, IoU.bicycle: 0.8126, Acc.road: 0.9927, Acc.sidewalk: 0.9428, Acc.building: 0.9762, Acc.wall: 0.6975, Acc.fence: 0.7259, Acc.pole: 0.8067, Acc.traffic light: 0.8284, Acc.traffic sign: 0.8847, Acc.vegetation: 0.9614, Acc.terrain: 0.7550, Acc.sky: 0.9887, Acc.person: 0.9230, Acc.rider: 0.7930, Acc.car: 0.9819, Acc.truck: 0.9000, Acc.bus: 0.9579, Acc.train: 0.9269, Acc.motorcycle: 0.8386, Acc.bicycle: 0.8941 2023-02-25 11:52:02,451 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 17:44:44, time: 2.912, data_time: 1.936, memory: 19374, decode.loss_ce: 0.0552, decode.acc_seg: 97.7075, aux.loss_ce: 0.0291, aux.acc_seg: 97.0593, loss: 0.0843 2023-02-25 11:52:51,509 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 17:43:53, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6609, aux.loss_ce: 0.0302, aux.acc_seg: 97.0099, loss: 0.0880 2023-02-25 11:53:40,841 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 17:43:03, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0539, decode.acc_seg: 97.8063, aux.loss_ce: 0.0287, aux.acc_seg: 97.1342, loss: 0.0827 2023-02-25 11:54:30,089 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 17:42:12, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7174, aux.loss_ce: 0.0285, aux.acc_seg: 97.1035, loss: 0.0833 2023-02-25 11:55:19,767 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 17:41:22, time: 0.994, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0566, decode.acc_seg: 97.6580, aux.loss_ce: 0.0295, aux.acc_seg: 97.0499, loss: 0.0860 2023-02-25 11:56:08,978 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 17:40:32, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8325, aux.loss_ce: 0.0292, aux.acc_seg: 97.0181, loss: 0.0808 2023-02-25 11:57:00,872 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 17:39:43, time: 1.038, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7863, aux.loss_ce: 0.0295, aux.acc_seg: 97.0648, loss: 0.0835 2023-02-25 11:57:50,006 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 17:38:53, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0559, decode.acc_seg: 97.7215, aux.loss_ce: 0.0299, aux.acc_seg: 97.0627, loss: 0.0858 2023-02-25 11:58:39,422 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 17:38:02, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7407, aux.loss_ce: 0.0287, aux.acc_seg: 97.0327, loss: 0.0827 2023-02-25 11:59:28,783 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 17:37:12, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6850, aux.loss_ce: 0.0296, aux.acc_seg: 96.9838, loss: 0.0856 2023-02-25 12:00:18,208 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 17:36:22, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.5945, aux.loss_ce: 0.0300, aux.acc_seg: 96.9955, loss: 0.0882 2023-02-25 12:01:07,645 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 17:35:31, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6749, aux.loss_ce: 0.0285, aux.acc_seg: 97.1090, loss: 0.0846 2023-02-25 12:01:57,038 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 17:34:41, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0567, decode.acc_seg: 97.6779, aux.loss_ce: 0.0291, aux.acc_seg: 97.1089, loss: 0.0858 2023-02-25 12:02:46,495 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 17:33:51, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7482, aux.loss_ce: 0.0297, aux.acc_seg: 97.0146, loss: 0.0843 2023-02-25 12:03:38,392 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 17:33:02, time: 1.038, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7929, aux.loss_ce: 0.0291, aux.acc_seg: 97.0401, loss: 0.0826 2023-02-25 12:04:27,768 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 17:32:12, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.6376, aux.loss_ce: 0.0303, aux.acc_seg: 96.9829, loss: 0.0881 2023-02-25 12:05:17,206 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 17:31:21, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8728, aux.loss_ce: 0.0282, aux.acc_seg: 97.1926, loss: 0.0804 2023-02-25 12:06:06,421 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 17:30:31, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.5482, aux.loss_ce: 0.0294, aux.acc_seg: 96.9976, loss: 0.0876 2023-02-25 12:06:55,809 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 17:29:41, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.9001, aux.loss_ce: 0.0286, aux.acc_seg: 97.1084, loss: 0.0794 2023-02-25 12:07:45,046 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:07:45,046 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 17:28:50, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.7264, aux.loss_ce: 0.0292, aux.acc_seg: 97.1013, loss: 0.0847 2023-02-25 12:08:34,305 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 17:28:00, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0561, decode.acc_seg: 97.7141, aux.loss_ce: 0.0297, aux.acc_seg: 97.0120, loss: 0.0858 2023-02-25 12:09:26,039 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 17:27:11, time: 1.035, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0567, decode.acc_seg: 97.6702, aux.loss_ce: 0.0298, aux.acc_seg: 97.0028, loss: 0.0865 2023-02-25 12:10:15,489 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 17:26:21, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0587, decode.acc_seg: 97.6628, aux.loss_ce: 0.0314, aux.acc_seg: 96.9400, loss: 0.0901 2023-02-25 12:11:05,005 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 17:25:31, time: 0.990, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0558, decode.acc_seg: 97.7068, aux.loss_ce: 0.0302, aux.acc_seg: 96.9637, loss: 0.0861 2023-02-25 12:11:54,400 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 17:24:40, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0563, decode.acc_seg: 97.7133, aux.loss_ce: 0.0297, aux.acc_seg: 97.0325, loss: 0.0859 2023-02-25 12:12:43,634 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 17:23:50, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0549, decode.acc_seg: 97.7465, aux.loss_ce: 0.0291, aux.acc_seg: 97.0893, loss: 0.0841 2023-02-25 12:13:32,836 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 17:23:00, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6434, aux.loss_ce: 0.0294, aux.acc_seg: 97.0564, loss: 0.0868 2023-02-25 12:14:22,064 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 17:22:09, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7171, aux.loss_ce: 0.0299, aux.acc_seg: 97.0164, loss: 0.0859 2023-02-25 12:15:11,384 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 17:21:19, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.8444, aux.loss_ce: 0.0285, aux.acc_seg: 97.1425, loss: 0.0816 2023-02-25 12:16:02,022 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 17:20:29, time: 1.013, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.6739, aux.loss_ce: 0.0285, aux.acc_seg: 97.1199, loss: 0.0839 2023-02-25 12:16:50,253 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 17:19:38, time: 0.965, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8302, aux.loss_ce: 0.0289, aux.acc_seg: 97.0777, loss: 0.0816 2023-02-25 12:17:40,081 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 17:18:48, time: 0.997, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8434, aux.loss_ce: 0.0292, aux.acc_seg: 97.0490, loss: 0.0817 2023-02-25 12:18:29,090 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 17:17:58, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0579, decode.acc_seg: 97.6450, aux.loss_ce: 0.0305, aux.acc_seg: 96.9884, loss: 0.0883 2023-02-25 12:19:18,092 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 17:17:07, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7706, aux.loss_ce: 0.0285, aux.acc_seg: 97.1863, loss: 0.0827 2023-02-25 12:20:07,263 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 17:16:17, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7331, aux.loss_ce: 0.0285, aux.acc_seg: 97.1311, loss: 0.0843 2023-02-25 12:20:56,265 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 17:15:26, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.7310, aux.loss_ce: 0.0287, aux.acc_seg: 97.1027, loss: 0.0843 2023-02-25 12:21:48,191 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 17:14:37, time: 1.039, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6572, aux.loss_ce: 0.0289, aux.acc_seg: 97.0486, loss: 0.0849 2023-02-25 12:22:37,304 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 17:13:47, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.7065, aux.loss_ce: 0.0296, aux.acc_seg: 97.0221, loss: 0.0849 2023-02-25 12:23:26,452 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 17:12:57, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0546, decode.acc_seg: 97.7397, aux.loss_ce: 0.0282, aux.acc_seg: 97.1584, loss: 0.0828 2023-02-25 12:24:15,956 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:24:15,956 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 17:12:06, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7555, aux.loss_ce: 0.0291, aux.acc_seg: 97.0879, loss: 0.0834 2023-02-25 12:25:05,396 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 17:11:16, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8520, aux.loss_ce: 0.0283, aux.acc_seg: 97.1684, loss: 0.0805 2023-02-25 12:25:54,928 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 17:10:26, time: 0.991, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8374, aux.loss_ce: 0.0275, aux.acc_seg: 97.2683, loss: 0.0800 2023-02-25 12:26:44,288 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 17:09:36, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7860, aux.loss_ce: 0.0290, aux.acc_seg: 97.1064, loss: 0.0830 2023-02-25 12:27:33,598 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 17:08:45, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7592, aux.loss_ce: 0.0277, aux.acc_seg: 97.2172, loss: 0.0821 2023-02-25 12:28:25,496 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 17:07:57, time: 1.038, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.7248, aux.loss_ce: 0.0286, aux.acc_seg: 97.1066, loss: 0.0841 2023-02-25 12:29:15,097 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 17:07:06, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7444, aux.loss_ce: 0.0288, aux.acc_seg: 97.0846, loss: 0.0831 2023-02-25 12:30:04,250 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 17:06:16, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.8180, aux.loss_ce: 0.0299, aux.acc_seg: 97.0925, loss: 0.0839 2023-02-25 12:30:53,545 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 17:05:26, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0565, decode.acc_seg: 97.6915, aux.loss_ce: 0.0295, aux.acc_seg: 97.0501, loss: 0.0861 2023-02-25 12:31:42,552 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 17:04:35, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0539, decode.acc_seg: 97.7753, aux.loss_ce: 0.0288, aux.acc_seg: 97.1240, loss: 0.0827 2023-02-25 12:32:32,009 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 17:03:45, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.6396, aux.loss_ce: 0.0303, aux.acc_seg: 96.9638, loss: 0.0883 2023-02-25 12:33:21,574 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 17:02:55, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7891, aux.loss_ce: 0.0284, aux.acc_seg: 97.1530, loss: 0.0824 2023-02-25 12:34:13,368 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 17:02:06, time: 1.036, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.8155, aux.loss_ce: 0.0283, aux.acc_seg: 97.1778, loss: 0.0816 2023-02-25 12:35:02,505 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 17:01:15, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.7975, aux.loss_ce: 0.0289, aux.acc_seg: 97.0798, loss: 0.0824 2023-02-25 12:35:51,543 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 17:00:25, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6972, aux.loss_ce: 0.0297, aux.acc_seg: 97.0108, loss: 0.0857 2023-02-25 12:36:40,815 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 16:59:35, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6808, aux.loss_ce: 0.0298, aux.acc_seg: 97.0232, loss: 0.0858 2023-02-25 12:37:30,478 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 16:58:44, time: 0.993, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6604, aux.loss_ce: 0.0302, aux.acc_seg: 96.9964, loss: 0.0871 2023-02-25 12:38:20,596 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 16:57:55, time: 1.002, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0565, decode.acc_seg: 97.6851, aux.loss_ce: 0.0298, aux.acc_seg: 97.0266, loss: 0.0862 2023-02-25 12:39:10,598 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 16:57:05, time: 1.000, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8465, aux.loss_ce: 0.0276, aux.acc_seg: 97.1974, loss: 0.0795 2023-02-25 12:40:00,659 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 16:56:15, time: 1.001, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.5644, aux.loss_ce: 0.0312, aux.acc_seg: 96.8694, loss: 0.0900 2023-02-25 12:40:52,526 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:40:52,527 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 16:55:26, time: 1.037, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7787, aux.loss_ce: 0.0294, aux.acc_seg: 97.0844, loss: 0.0839 2023-02-25 12:41:41,873 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 16:54:36, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0587, decode.acc_seg: 97.6055, aux.loss_ce: 0.0298, aux.acc_seg: 97.0356, loss: 0.0885 2023-02-25 12:42:31,299 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 16:53:46, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7402, aux.loss_ce: 0.0286, aux.acc_seg: 97.1059, loss: 0.0831 2023-02-25 12:43:20,368 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 16:52:55, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8318, aux.loss_ce: 0.0277, aux.acc_seg: 97.1900, loss: 0.0800 2023-02-25 12:44:09,568 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 16:52:05, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7668, aux.loss_ce: 0.0281, aux.acc_seg: 97.1611, loss: 0.0821 2023-02-25 12:44:58,871 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 16:51:14, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.7896, aux.loss_ce: 0.0276, aux.acc_seg: 97.2008, loss: 0.0806 2023-02-25 12:45:48,257 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 16:50:24, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0614, decode.acc_seg: 97.4805, aux.loss_ce: 0.0308, aux.acc_seg: 96.9349, loss: 0.0922 2023-02-25 12:46:39,984 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 16:49:35, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8088, aux.loss_ce: 0.0277, aux.acc_seg: 97.2012, loss: 0.0809 2023-02-25 12:47:29,303 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 16:48:45, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0580, decode.acc_seg: 97.5995, aux.loss_ce: 0.0301, aux.acc_seg: 96.9546, loss: 0.0881 2023-02-25 12:48:18,580 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 16:47:55, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8789, aux.loss_ce: 0.0280, aux.acc_seg: 97.1715, loss: 0.0790 2023-02-25 12:49:08,026 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 16:47:04, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7063, aux.loss_ce: 0.0291, aux.acc_seg: 97.0640, loss: 0.0851 2023-02-25 12:49:57,389 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 16:46:14, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7081, aux.loss_ce: 0.0298, aux.acc_seg: 96.9902, loss: 0.0852 2023-02-25 12:50:46,721 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 16:45:24, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8938, aux.loss_ce: 0.0281, aux.acc_seg: 97.1800, loss: 0.0793 2023-02-25 12:51:35,981 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 16:44:33, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7271, aux.loss_ce: 0.0286, aux.acc_seg: 97.1344, loss: 0.0839 2023-02-25 12:52:27,954 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 16:43:45, time: 1.039, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0561, decode.acc_seg: 97.6921, aux.loss_ce: 0.0288, aux.acc_seg: 97.1195, loss: 0.0849 2023-02-25 12:53:17,096 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 16:42:54, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7420, aux.loss_ce: 0.0292, aux.acc_seg: 97.0453, loss: 0.0840 2023-02-25 12:54:06,389 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 16:42:04, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0558, decode.acc_seg: 97.6987, aux.loss_ce: 0.0283, aux.acc_seg: 97.1456, loss: 0.0841 2023-02-25 12:54:55,376 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 16:41:13, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8676, aux.loss_ce: 0.0269, aux.acc_seg: 97.2461, loss: 0.0781 2023-02-25 12:55:44,597 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 16:40:23, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8553, aux.loss_ce: 0.0277, aux.acc_seg: 97.2101, loss: 0.0794 2023-02-25 12:56:33,933 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 16:39:33, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7932, aux.loss_ce: 0.0291, aux.acc_seg: 97.0267, loss: 0.0822 2023-02-25 12:57:23,203 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 12:57:23,203 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 16:38:42, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7128, aux.loss_ce: 0.0294, aux.acc_seg: 97.0520, loss: 0.0848 2023-02-25 12:58:12,454 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 16:37:52, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0556, decode.acc_seg: 97.6890, aux.loss_ce: 0.0282, aux.acc_seg: 97.1466, loss: 0.0839 2023-02-25 12:59:04,366 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 16:37:03, time: 1.038, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7095, aux.loss_ce: 0.0294, aux.acc_seg: 97.0421, loss: 0.0852 2023-02-25 12:59:53,440 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 16:36:13, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.8069, aux.loss_ce: 0.0281, aux.acc_seg: 97.2061, loss: 0.0817 2023-02-25 13:00:42,769 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 16:35:23, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0556, decode.acc_seg: 97.7026, aux.loss_ce: 0.0309, aux.acc_seg: 96.9336, loss: 0.0866 2023-02-25 13:01:32,063 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 16:34:32, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.8181, aux.loss_ce: 0.0277, aux.acc_seg: 97.2097, loss: 0.0808 2023-02-25 13:02:21,376 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 16:33:42, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7519, aux.loss_ce: 0.0299, aux.acc_seg: 97.0160, loss: 0.0840 2023-02-25 13:03:10,814 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 16:32:52, time: 0.989, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0539, decode.acc_seg: 97.7672, aux.loss_ce: 0.0293, aux.acc_seg: 97.0435, loss: 0.0833 2023-02-25 13:04:00,165 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 16:32:01, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0546, decode.acc_seg: 97.7815, aux.loss_ce: 0.0289, aux.acc_seg: 97.1363, loss: 0.0835 2023-02-25 13:04:51,849 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 16:31:13, time: 1.034, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0570, decode.acc_seg: 97.6348, aux.loss_ce: 0.0290, aux.acc_seg: 97.0563, loss: 0.0859 2023-02-25 13:05:41,130 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 16:30:22, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8350, aux.loss_ce: 0.0269, aux.acc_seg: 97.3106, loss: 0.0791 2023-02-25 13:06:30,846 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 16:29:32, time: 0.995, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0578, decode.acc_seg: 97.7103, aux.loss_ce: 0.0299, aux.acc_seg: 97.0529, loss: 0.0877 2023-02-25 13:07:20,185 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 16:28:42, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0546, decode.acc_seg: 97.7437, aux.loss_ce: 0.0286, aux.acc_seg: 97.1097, loss: 0.0833 2023-02-25 13:08:09,462 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 16:27:52, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7324, aux.loss_ce: 0.0288, aux.acc_seg: 97.1030, loss: 0.0837 2023-02-25 13:08:58,610 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 16:27:01, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.6955, aux.loss_ce: 0.0295, aux.acc_seg: 97.0237, loss: 0.0849 2023-02-25 13:09:47,884 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 16:26:11, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.6852, aux.loss_ce: 0.0292, aux.acc_seg: 97.0428, loss: 0.0847 2023-02-25 13:10:37,040 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 16:25:20, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7501, aux.loss_ce: 0.0287, aux.acc_seg: 97.0753, loss: 0.0829 2023-02-25 13:11:29,300 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 16:24:32, time: 1.045, data_time: 0.071, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.7875, aux.loss_ce: 0.0274, aux.acc_seg: 97.2172, loss: 0.0808 2023-02-25 13:12:18,690 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 16:23:42, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.7148, aux.loss_ce: 0.0283, aux.acc_seg: 97.1632, loss: 0.0836 2023-02-25 13:13:07,916 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 16:22:51, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7657, aux.loss_ce: 0.0286, aux.acc_seg: 97.1244, loss: 0.0826 2023-02-25 13:13:57,248 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:13:57,248 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 16:22:01, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.8125, aux.loss_ce: 0.0289, aux.acc_seg: 97.0589, loss: 0.0818 2023-02-25 13:14:46,421 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 16:21:11, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0562, decode.acc_seg: 97.6689, aux.loss_ce: 0.0288, aux.acc_seg: 97.1033, loss: 0.0850 2023-02-25 13:15:36,084 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 16:20:21, time: 0.994, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.7235, aux.loss_ce: 0.0288, aux.acc_seg: 97.1111, loss: 0.0841 2023-02-25 13:16:25,404 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 16:19:30, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7355, aux.loss_ce: 0.0288, aux.acc_seg: 97.0961, loss: 0.0840 2023-02-25 13:17:17,907 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 16:18:42, time: 1.050, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0589, decode.acc_seg: 97.5604, aux.loss_ce: 0.0298, aux.acc_seg: 96.9914, loss: 0.0887 2023-02-25 13:18:07,166 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 16:17:51, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7598, aux.loss_ce: 0.0280, aux.acc_seg: 97.1603, loss: 0.0815 2023-02-25 13:18:56,368 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 16:17:01, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6824, aux.loss_ce: 0.0293, aux.acc_seg: 97.0518, loss: 0.0853 2023-02-25 13:19:46,323 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 16:16:11, time: 0.999, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7911, aux.loss_ce: 0.0279, aux.acc_seg: 97.1752, loss: 0.0812 2023-02-25 13:20:36,327 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 16:15:21, time: 1.000, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7317, aux.loss_ce: 0.0299, aux.acc_seg: 97.0431, loss: 0.0849 2023-02-25 13:21:25,450 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 16:14:31, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.8176, aux.loss_ce: 0.0283, aux.acc_seg: 97.1760, loss: 0.0817 2023-02-25 13:22:14,651 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 16:13:41, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9282, aux.loss_ce: 0.0281, aux.acc_seg: 97.1526, loss: 0.0780 2023-02-25 13:23:03,750 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 16:12:50, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.8014, aux.loss_ce: 0.0286, aux.acc_seg: 97.0926, loss: 0.0815 2023-02-25 13:23:55,454 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 16:12:01, time: 1.034, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8616, aux.loss_ce: 0.0278, aux.acc_seg: 97.1868, loss: 0.0789 2023-02-25 13:24:44,815 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 16:11:11, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7141, aux.loss_ce: 0.0300, aux.acc_seg: 97.0227, loss: 0.0854 2023-02-25 13:25:34,055 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 16:10:21, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7601, aux.loss_ce: 0.0283, aux.acc_seg: 97.1594, loss: 0.0827 2023-02-25 13:26:23,491 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 16:09:30, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7906, aux.loss_ce: 0.0281, aux.acc_seg: 97.1849, loss: 0.0819 2023-02-25 13:27:12,923 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 16:08:40, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8544, aux.loss_ce: 0.0276, aux.acc_seg: 97.2262, loss: 0.0799 2023-02-25 13:28:02,277 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 16:07:50, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0546, decode.acc_seg: 97.7302, aux.loss_ce: 0.0284, aux.acc_seg: 97.0966, loss: 0.0830 2023-02-25 13:28:51,500 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 16:07:00, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7455, aux.loss_ce: 0.0298, aux.acc_seg: 96.9742, loss: 0.0842 2023-02-25 13:29:44,010 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 16:06:11, time: 1.050, data_time: 0.073, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7594, aux.loss_ce: 0.0278, aux.acc_seg: 97.1934, loss: 0.0822 2023-02-25 13:30:33,197 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:30:33,198 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 16:05:21, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8379, aux.loss_ce: 0.0266, aux.acc_seg: 97.2812, loss: 0.0785 2023-02-25 13:31:22,396 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 16:04:30, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7430, aux.loss_ce: 0.0292, aux.acc_seg: 97.0759, loss: 0.0840 2023-02-25 13:32:11,421 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 16:03:40, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7121, aux.loss_ce: 0.0293, aux.acc_seg: 97.0752, loss: 0.0850 2023-02-25 13:33:00,602 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 16:02:50, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7796, aux.loss_ce: 0.0289, aux.acc_seg: 97.0789, loss: 0.0827 2023-02-25 13:33:49,632 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 16:01:59, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0572, decode.acc_seg: 97.6440, aux.loss_ce: 0.0303, aux.acc_seg: 96.9368, loss: 0.0875 2023-02-25 13:34:39,038 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 16:01:09, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7483, aux.loss_ce: 0.0285, aux.acc_seg: 97.1140, loss: 0.0826 2023-02-25 13:35:28,477 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 16:00:19, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0556, decode.acc_seg: 97.6951, aux.loss_ce: 0.0289, aux.acc_seg: 97.0798, loss: 0.0844 2023-02-25 13:36:20,189 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 15:59:30, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0574, decode.acc_seg: 97.6467, aux.loss_ce: 0.0296, aux.acc_seg: 97.0282, loss: 0.0870 2023-02-25 13:37:09,514 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 15:58:40, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.8036, aux.loss_ce: 0.0291, aux.acc_seg: 97.0821, loss: 0.0826 2023-02-25 13:37:58,989 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 15:57:49, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.8159, aux.loss_ce: 0.0290, aux.acc_seg: 97.0861, loss: 0.0826 2023-02-25 13:38:48,256 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 15:56:59, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9090, aux.loss_ce: 0.0274, aux.acc_seg: 97.2186, loss: 0.0776 2023-02-25 13:39:37,812 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 15:56:09, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7766, aux.loss_ce: 0.0284, aux.acc_seg: 97.1573, loss: 0.0831 2023-02-25 13:40:27,439 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 15:55:19, time: 0.993, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0590, decode.acc_seg: 97.5919, aux.loss_ce: 0.0308, aux.acc_seg: 96.9049, loss: 0.0898 2023-02-25 13:41:17,126 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 15:54:29, time: 0.993, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7605, aux.loss_ce: 0.0289, aux.acc_seg: 97.0910, loss: 0.0830 2023-02-25 13:42:09,144 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 15:53:40, time: 1.041, data_time: 0.058, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7786, aux.loss_ce: 0.0280, aux.acc_seg: 97.1689, loss: 0.0814 2023-02-25 13:42:58,323 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 15:52:50, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7279, aux.loss_ce: 0.0301, aux.acc_seg: 96.9870, loss: 0.0855 2023-02-25 13:43:47,639 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 15:51:59, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7902, aux.loss_ce: 0.0288, aux.acc_seg: 97.1028, loss: 0.0823 2023-02-25 13:44:36,931 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 15:51:09, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8543, aux.loss_ce: 0.0281, aux.acc_seg: 97.1918, loss: 0.0804 2023-02-25 13:45:26,298 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 15:50:19, time: 0.987, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0575, decode.acc_seg: 97.6239, aux.loss_ce: 0.0302, aux.acc_seg: 96.9749, loss: 0.0877 2023-02-25 13:46:15,421 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 15:49:28, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6665, aux.loss_ce: 0.0294, aux.acc_seg: 97.0489, loss: 0.0863 2023-02-25 13:47:04,705 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 13:47:04,706 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 15:48:38, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8381, aux.loss_ce: 0.0278, aux.acc_seg: 97.1989, loss: 0.0798 2023-02-25 13:47:56,312 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 15:47:49, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7379, aux.loss_ce: 0.0299, aux.acc_seg: 96.9955, loss: 0.0847 2023-02-25 13:48:44,792 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 15:46:58, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6666, aux.loss_ce: 0.0298, aux.acc_seg: 96.9914, loss: 0.0858 2023-02-25 13:49:33,298 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 15:46:08, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8178, aux.loss_ce: 0.0283, aux.acc_seg: 97.1785, loss: 0.0816 2023-02-25 13:50:21,777 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 15:45:17, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.7906, aux.loss_ce: 0.0281, aux.acc_seg: 97.1605, loss: 0.0814 2023-02-25 13:51:10,178 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 15:44:26, time: 0.968, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7762, aux.loss_ce: 0.0278, aux.acc_seg: 97.1701, loss: 0.0812 2023-02-25 13:51:58,989 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 15:43:36, time: 0.976, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8531, aux.loss_ce: 0.0282, aux.acc_seg: 97.1484, loss: 0.0801 2023-02-25 13:52:48,116 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 15:42:45, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7790, aux.loss_ce: 0.0281, aux.acc_seg: 97.1344, loss: 0.0816 2023-02-25 13:53:37,468 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 15:41:55, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8236, aux.loss_ce: 0.0280, aux.acc_seg: 97.1179, loss: 0.0802 2023-02-25 13:54:29,093 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 15:41:06, time: 1.033, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9058, aux.loss_ce: 0.0283, aux.acc_seg: 97.1492, loss: 0.0787 2023-02-25 13:55:18,356 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 15:40:16, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8351, aux.loss_ce: 0.0286, aux.acc_seg: 97.1467, loss: 0.0813 2023-02-25 13:56:07,511 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 15:39:25, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0566, decode.acc_seg: 97.6588, aux.loss_ce: 0.0288, aux.acc_seg: 97.0782, loss: 0.0854 2023-02-25 13:56:56,586 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 15:38:35, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8679, aux.loss_ce: 0.0273, aux.acc_seg: 97.2493, loss: 0.0790 2023-02-25 13:57:45,614 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 15:37:45, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0569, decode.acc_seg: 97.6632, aux.loss_ce: 0.0308, aux.acc_seg: 96.9158, loss: 0.0878 2023-02-25 13:58:34,772 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 15:36:54, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7293, aux.loss_ce: 0.0287, aux.acc_seg: 97.1210, loss: 0.0841 2023-02-25 13:59:23,920 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 15:36:04, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8690, aux.loss_ce: 0.0284, aux.acc_seg: 97.1151, loss: 0.0797 2023-02-25 14:00:15,568 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 15:35:15, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8147, aux.loss_ce: 0.0298, aux.acc_seg: 97.0939, loss: 0.0831 2023-02-25 14:01:05,009 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 15:34:25, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9089, aux.loss_ce: 0.0273, aux.acc_seg: 97.2171, loss: 0.0775 2023-02-25 14:01:54,225 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 15:33:35, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8223, aux.loss_ce: 0.0284, aux.acc_seg: 97.1424, loss: 0.0812 2023-02-25 14:02:43,520 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 15:32:44, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7654, aux.loss_ce: 0.0285, aux.acc_seg: 97.1274, loss: 0.0828 2023-02-25 14:03:32,814 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:03:32,814 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 15:31:54, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7858, aux.loss_ce: 0.0277, aux.acc_seg: 97.2177, loss: 0.0816 2023-02-25 14:04:22,091 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 15:31:04, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7724, aux.loss_ce: 0.0288, aux.acc_seg: 97.1164, loss: 0.0830 2023-02-25 14:05:11,701 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 15:30:14, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8626, aux.loss_ce: 0.0279, aux.acc_seg: 97.1438, loss: 0.0792 2023-02-25 14:06:01,050 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 15:29:23, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.6976, aux.loss_ce: 0.0287, aux.acc_seg: 97.0786, loss: 0.0840 2023-02-25 14:06:52,730 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 15:28:34, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9661, aux.loss_ce: 0.0266, aux.acc_seg: 97.2731, loss: 0.0753 2023-02-25 14:07:41,889 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 15:27:44, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9247, aux.loss_ce: 0.0285, aux.acc_seg: 97.1083, loss: 0.0781 2023-02-25 14:08:30,887 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 15:26:54, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0530, decode.acc_seg: 97.8083, aux.loss_ce: 0.0284, aux.acc_seg: 97.1211, loss: 0.0814 2023-02-25 14:09:19,862 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 15:26:03, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8233, aux.loss_ce: 0.0294, aux.acc_seg: 97.0946, loss: 0.0828 2023-02-25 14:10:08,951 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 15:25:13, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7221, aux.loss_ce: 0.0298, aux.acc_seg: 97.0169, loss: 0.0849 2023-02-25 14:10:58,225 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 15:24:23, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8008, aux.loss_ce: 0.0281, aux.acc_seg: 97.1652, loss: 0.0813 2023-02-25 14:11:47,442 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 15:23:32, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0557, decode.acc_seg: 97.7201, aux.loss_ce: 0.0289, aux.acc_seg: 97.1127, loss: 0.0846 2023-02-25 14:12:39,036 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 15:22:43, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.7948, aux.loss_ce: 0.0306, aux.acc_seg: 97.0050, loss: 0.0839 2023-02-25 14:13:28,206 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 15:21:53, time: 0.983, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8343, aux.loss_ce: 0.0272, aux.acc_seg: 97.2204, loss: 0.0791 2023-02-25 14:14:17,526 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 15:21:03, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8853, aux.loss_ce: 0.0279, aux.acc_seg: 97.1908, loss: 0.0790 2023-02-25 14:15:06,955 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 15:20:13, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7910, aux.loss_ce: 0.0279, aux.acc_seg: 97.1682, loss: 0.0813 2023-02-25 14:15:56,286 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 15:19:22, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8143, aux.loss_ce: 0.0272, aux.acc_seg: 97.2681, loss: 0.0804 2023-02-25 14:16:45,671 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 15:18:32, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0530, decode.acc_seg: 97.8129, aux.loss_ce: 0.0289, aux.acc_seg: 97.0706, loss: 0.0819 2023-02-25 14:17:35,100 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 15:17:42, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.8323, aux.loss_ce: 0.0285, aux.acc_seg: 97.1292, loss: 0.0814 2023-02-25 14:18:24,499 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 15:16:52, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0612, decode.acc_seg: 97.6118, aux.loss_ce: 0.0304, aux.acc_seg: 97.0192, loss: 0.0916 2023-02-25 14:19:16,216 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 15:16:03, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0547, decode.acc_seg: 97.7263, aux.loss_ce: 0.0295, aux.acc_seg: 97.0236, loss: 0.0842 2023-02-25 14:20:05,465 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:20:05,465 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 15:15:12, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8489, aux.loss_ce: 0.0284, aux.acc_seg: 97.1052, loss: 0.0803 2023-02-25 14:20:54,797 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 15:14:22, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7025, aux.loss_ce: 0.0279, aux.acc_seg: 97.1707, loss: 0.0833 2023-02-25 14:21:44,028 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 15:13:32, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0552, decode.acc_seg: 97.7028, aux.loss_ce: 0.0280, aux.acc_seg: 97.1519, loss: 0.0832 2023-02-25 14:22:33,321 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 15:12:42, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0530, decode.acc_seg: 97.7937, aux.loss_ce: 0.0281, aux.acc_seg: 97.1200, loss: 0.0811 2023-02-25 14:23:22,521 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 15:11:51, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8143, aux.loss_ce: 0.0271, aux.acc_seg: 97.2286, loss: 0.0793 2023-02-25 14:24:12,001 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 15:11:01, time: 0.990, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7712, aux.loss_ce: 0.0278, aux.acc_seg: 97.1996, loss: 0.0819 2023-02-25 14:25:03,875 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 15:10:12, time: 1.037, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8885, aux.loss_ce: 0.0273, aux.acc_seg: 97.2261, loss: 0.0784 2023-02-25 14:25:53,007 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 15:09:22, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.7386, aux.loss_ce: 0.0278, aux.acc_seg: 97.2098, loss: 0.0832 2023-02-25 14:26:42,383 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 15:08:32, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7781, aux.loss_ce: 0.0291, aux.acc_seg: 97.0819, loss: 0.0822 2023-02-25 14:27:32,043 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 15:07:42, time: 0.993, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8729, aux.loss_ce: 0.0292, aux.acc_seg: 97.0638, loss: 0.0808 2023-02-25 14:28:21,194 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 15:06:51, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.7992, aux.loss_ce: 0.0285, aux.acc_seg: 97.1108, loss: 0.0812 2023-02-25 14:29:10,358 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 15:06:01, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7297, aux.loss_ce: 0.0287, aux.acc_seg: 97.1157, loss: 0.0841 2023-02-25 14:29:59,631 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 15:05:11, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8651, aux.loss_ce: 0.0283, aux.acc_seg: 97.1580, loss: 0.0801 2023-02-25 14:30:51,447 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 15:04:22, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0583, decode.acc_seg: 97.5845, aux.loss_ce: 0.0296, aux.acc_seg: 97.0253, loss: 0.0879 2023-02-25 14:31:40,811 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 15:03:32, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0537, decode.acc_seg: 97.7731, aux.loss_ce: 0.0275, aux.acc_seg: 97.2117, loss: 0.0812 2023-02-25 14:32:30,186 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 15:02:42, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0539, decode.acc_seg: 97.7801, aux.loss_ce: 0.0282, aux.acc_seg: 97.1857, loss: 0.0820 2023-02-25 14:33:19,622 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 15:01:51, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8094, aux.loss_ce: 0.0277, aux.acc_seg: 97.1948, loss: 0.0805 2023-02-25 14:34:09,017 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 15:01:01, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.7925, aux.loss_ce: 0.0282, aux.acc_seg: 97.1348, loss: 0.0815 2023-02-25 14:34:58,371 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 15:00:11, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7715, aux.loss_ce: 0.0287, aux.acc_seg: 97.1183, loss: 0.0829 2023-02-25 14:35:47,739 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 14:59:21, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8492, aux.loss_ce: 0.0285, aux.acc_seg: 97.1450, loss: 0.0806 2023-02-25 14:36:37,019 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:36:37,020 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 14:58:31, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.7797, aux.loss_ce: 0.0275, aux.acc_seg: 97.2013, loss: 0.0807 2023-02-25 14:37:28,619 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 14:57:41, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9380, aux.loss_ce: 0.0274, aux.acc_seg: 97.2394, loss: 0.0772 2023-02-25 14:38:17,941 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 14:56:51, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0556, decode.acc_seg: 97.7118, aux.loss_ce: 0.0284, aux.acc_seg: 97.1484, loss: 0.0840 2023-02-25 14:39:07,156 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 14:56:01, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8356, aux.loss_ce: 0.0290, aux.acc_seg: 97.0633, loss: 0.0814 2023-02-25 14:39:56,575 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 14:55:11, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7769, aux.loss_ce: 0.0287, aux.acc_seg: 97.1140, loss: 0.0824 2023-02-25 14:40:45,897 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 14:54:21, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8176, aux.loss_ce: 0.0276, aux.acc_seg: 97.2161, loss: 0.0804 2023-02-25 14:41:35,206 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 14:53:30, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0537, decode.acc_seg: 97.7890, aux.loss_ce: 0.0276, aux.acc_seg: 97.2281, loss: 0.0813 2023-02-25 14:42:24,476 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 14:52:40, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.7884, aux.loss_ce: 0.0281, aux.acc_seg: 97.1649, loss: 0.0813 2023-02-25 14:43:16,197 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 14:51:51, time: 1.035, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7420, aux.loss_ce: 0.0280, aux.acc_seg: 97.1767, loss: 0.0825 2023-02-25 14:44:05,612 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 14:51:01, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8965, aux.loss_ce: 0.0273, aux.acc_seg: 97.2638, loss: 0.0785 2023-02-25 14:44:55,021 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 14:50:11, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7261, aux.loss_ce: 0.0286, aux.acc_seg: 97.1463, loss: 0.0834 2023-02-25 14:45:44,214 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 14:49:20, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8925, aux.loss_ce: 0.0266, aux.acc_seg: 97.3051, loss: 0.0772 2023-02-25 14:46:33,360 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 14:48:30, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8135, aux.loss_ce: 0.0280, aux.acc_seg: 97.1401, loss: 0.0806 2023-02-25 14:47:22,703 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 14:47:40, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7546, aux.loss_ce: 0.0281, aux.acc_seg: 97.1419, loss: 0.0820 2023-02-25 14:48:12,189 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 14:46:50, time: 0.990, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8012, aux.loss_ce: 0.0282, aux.acc_seg: 97.1342, loss: 0.0814 2023-02-25 14:49:01,481 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 14:46:00, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8327, aux.loss_ce: 0.0287, aux.acc_seg: 97.1099, loss: 0.0810 2023-02-25 14:49:53,623 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 14:45:11, time: 1.043, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.9117, aux.loss_ce: 0.0271, aux.acc_seg: 97.2724, loss: 0.0777 2023-02-25 14:50:42,827 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 14:44:21, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0576, decode.acc_seg: 97.6383, aux.loss_ce: 0.0309, aux.acc_seg: 96.9065, loss: 0.0885 2023-02-25 14:51:32,078 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 14:43:30, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8220, aux.loss_ce: 0.0280, aux.acc_seg: 97.1780, loss: 0.0808 2023-02-25 14:52:21,548 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 14:42:40, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8703, aux.loss_ce: 0.0276, aux.acc_seg: 97.1989, loss: 0.0789 2023-02-25 14:53:10,779 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 14:53:10,780 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 14:41:50, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8515, aux.loss_ce: 0.0273, aux.acc_seg: 97.2465, loss: 0.0791 2023-02-25 14:54:00,161 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 14:41:00, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7494, aux.loss_ce: 0.0286, aux.acc_seg: 97.1186, loss: 0.0827 2023-02-25 14:54:49,356 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 14:40:09, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8420, aux.loss_ce: 0.0280, aux.acc_seg: 97.1791, loss: 0.0805 2023-02-25 14:55:41,081 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 14:39:20, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8559, aux.loss_ce: 0.0277, aux.acc_seg: 97.2283, loss: 0.0797 2023-02-25 14:56:30,436 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 14:38:30, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9720, aux.loss_ce: 0.0262, aux.acc_seg: 97.3068, loss: 0.0745 2023-02-25 14:57:19,754 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 14:37:40, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0548, decode.acc_seg: 97.7391, aux.loss_ce: 0.0290, aux.acc_seg: 97.0660, loss: 0.0838 2023-02-25 14:58:09,063 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 14:36:50, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8148, aux.loss_ce: 0.0274, aux.acc_seg: 97.2168, loss: 0.0798 2023-02-25 14:58:58,341 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 14:36:00, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7512, aux.loss_ce: 0.0293, aux.acc_seg: 97.0923, loss: 0.0832 2023-02-25 14:59:47,784 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 14:35:09, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7827, aux.loss_ce: 0.0284, aux.acc_seg: 97.1361, loss: 0.0822 2023-02-25 15:00:37,107 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 14:34:19, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.8005, aux.loss_ce: 0.0284, aux.acc_seg: 97.1755, loss: 0.0820 2023-02-25 15:01:26,312 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 14:33:29, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.7755, aux.loss_ce: 0.0281, aux.acc_seg: 97.1580, loss: 0.0818 2023-02-25 15:02:18,023 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 14:32:40, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8793, aux.loss_ce: 0.0280, aux.acc_seg: 97.1677, loss: 0.0791 2023-02-25 15:03:07,424 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 14:31:50, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8416, aux.loss_ce: 0.0275, aux.acc_seg: 97.2191, loss: 0.0795 2023-02-25 15:03:56,697 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 14:31:00, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8812, aux.loss_ce: 0.0276, aux.acc_seg: 97.2414, loss: 0.0789 2023-02-25 15:04:46,051 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 14:30:09, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8224, aux.loss_ce: 0.0287, aux.acc_seg: 97.1162, loss: 0.0820 2023-02-25 15:05:35,334 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 14:29:19, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8599, aux.loss_ce: 0.0265, aux.acc_seg: 97.2658, loss: 0.0776 2023-02-25 15:06:24,660 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 14:28:29, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0545, decode.acc_seg: 97.7551, aux.loss_ce: 0.0294, aux.acc_seg: 97.0804, loss: 0.0839 2023-02-25 15:07:13,972 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 14:27:39, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8195, aux.loss_ce: 0.0274, aux.acc_seg: 97.1990, loss: 0.0800 2023-02-25 15:08:05,788 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 14:26:50, time: 1.036, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6623, aux.loss_ce: 0.0288, aux.acc_seg: 97.0715, loss: 0.0848 2023-02-25 15:08:55,039 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 14:26:00, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8909, aux.loss_ce: 0.0277, aux.acc_seg: 97.2171, loss: 0.0790 2023-02-25 15:09:44,271 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:09:44,271 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 14:25:09, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8174, aux.loss_ce: 0.0267, aux.acc_seg: 97.2855, loss: 0.0792 2023-02-25 15:10:33,368 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 14:24:19, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8668, aux.loss_ce: 0.0266, aux.acc_seg: 97.2887, loss: 0.0778 2023-02-25 15:11:22,363 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 14:23:29, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.9115, aux.loss_ce: 0.0275, aux.acc_seg: 97.2678, loss: 0.0783 2023-02-25 15:12:11,798 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 14:22:38, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8637, aux.loss_ce: 0.0277, aux.acc_seg: 97.1949, loss: 0.0795 2023-02-25 15:13:01,192 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 14:21:48, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.7511, aux.loss_ce: 0.0285, aux.acc_seg: 97.0965, loss: 0.0821 2023-02-25 15:13:50,217 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 14:20:58, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8089, aux.loss_ce: 0.0269, aux.acc_seg: 97.2446, loss: 0.0794 2023-02-25 15:14:41,553 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 14:20:09, time: 1.027, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7424, aux.loss_ce: 0.0292, aux.acc_seg: 97.0678, loss: 0.0836 2023-02-25 15:15:30,831 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 14:19:19, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8738, aux.loss_ce: 0.0281, aux.acc_seg: 97.1493, loss: 0.0791 2023-02-25 15:16:20,644 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 14:18:29, time: 0.996, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8483, aux.loss_ce: 0.0290, aux.acc_seg: 97.0800, loss: 0.0810 2023-02-25 15:17:10,353 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 14:17:39, time: 0.994, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8984, aux.loss_ce: 0.0282, aux.acc_seg: 97.1575, loss: 0.0792 2023-02-25 15:17:59,455 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 14:16:48, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.8141, aux.loss_ce: 0.0273, aux.acc_seg: 97.2313, loss: 0.0802 2023-02-25 15:18:48,758 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 14:15:58, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9040, aux.loss_ce: 0.0271, aux.acc_seg: 97.2431, loss: 0.0772 2023-02-25 15:19:38,157 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 14:15:08, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.8109, aux.loss_ce: 0.0281, aux.acc_seg: 97.1824, loss: 0.0814 2023-02-25 15:20:29,793 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 14:14:19, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7192, aux.loss_ce: 0.0289, aux.acc_seg: 97.0862, loss: 0.0839 2023-02-25 15:21:19,114 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 14:13:29, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8664, aux.loss_ce: 0.0265, aux.acc_seg: 97.2937, loss: 0.0777 2023-02-25 15:22:08,547 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 14:12:38, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9795, aux.loss_ce: 0.0262, aux.acc_seg: 97.3319, loss: 0.0748 2023-02-25 15:22:57,851 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 14:11:48, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8211, aux.loss_ce: 0.0284, aux.acc_seg: 97.1217, loss: 0.0808 2023-02-25 15:23:47,047 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 14:10:58, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.7537, aux.loss_ce: 0.0286, aux.acc_seg: 97.1469, loss: 0.0836 2023-02-25 15:24:35,400 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 14:10:07, time: 0.967, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8305, aux.loss_ce: 0.0279, aux.acc_seg: 97.1921, loss: 0.0799 2023-02-25 15:25:23,700 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 14:09:17, time: 0.966, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8567, aux.loss_ce: 0.0272, aux.acc_seg: 97.2357, loss: 0.0785 2023-02-25 15:26:14,496 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:26:14,497 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 14:08:27, time: 1.016, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8296, aux.loss_ce: 0.0280, aux.acc_seg: 97.1501, loss: 0.0806 2023-02-25 15:27:03,955 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 14:07:37, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.8976, aux.loss_ce: 0.0274, aux.acc_seg: 97.1953, loss: 0.0773 2023-02-25 15:27:53,280 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 14:06:47, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0537, decode.acc_seg: 97.7371, aux.loss_ce: 0.0281, aux.acc_seg: 97.1054, loss: 0.0818 2023-02-25 15:28:42,460 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 14:05:57, time: 0.984, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.8124, aux.loss_ce: 0.0284, aux.acc_seg: 97.1532, loss: 0.0815 2023-02-25 15:29:31,473 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 14:05:06, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9209, aux.loss_ce: 0.0283, aux.acc_seg: 97.1375, loss: 0.0786 2023-02-25 15:30:20,602 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 14:04:16, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8072, aux.loss_ce: 0.0268, aux.acc_seg: 97.2644, loss: 0.0796 2023-02-25 15:31:10,277 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 14:03:26, time: 0.994, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0551, decode.acc_seg: 97.7143, aux.loss_ce: 0.0280, aux.acc_seg: 97.1702, loss: 0.0831 2023-02-25 15:31:59,595 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 14:02:36, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9169, aux.loss_ce: 0.0266, aux.acc_seg: 97.3204, loss: 0.0770 2023-02-25 15:32:51,055 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 14:01:47, time: 1.030, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8728, aux.loss_ce: 0.0274, aux.acc_seg: 97.2077, loss: 0.0783 2023-02-25 15:33:40,313 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 14:00:57, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8303, aux.loss_ce: 0.0285, aux.acc_seg: 97.1149, loss: 0.0811 2023-02-25 15:34:29,518 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 14:00:06, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8371, aux.loss_ce: 0.0270, aux.acc_seg: 97.2715, loss: 0.0794 2023-02-25 15:35:18,746 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 13:59:16, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8836, aux.loss_ce: 0.0274, aux.acc_seg: 97.1889, loss: 0.0779 2023-02-25 15:36:08,072 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 13:58:26, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9319, aux.loss_ce: 0.0266, aux.acc_seg: 97.3278, loss: 0.0767 2023-02-25 15:36:57,728 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 13:57:36, time: 0.993, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8464, aux.loss_ce: 0.0268, aux.acc_seg: 97.2307, loss: 0.0778 2023-02-25 15:37:47,133 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 13:56:46, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9400, aux.loss_ce: 0.0272, aux.acc_seg: 97.2347, loss: 0.0769 2023-02-25 15:38:38,966 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 13:55:57, time: 1.037, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8283, aux.loss_ce: 0.0285, aux.acc_seg: 97.1463, loss: 0.0812 2023-02-25 15:39:28,324 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 13:55:07, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0561, decode.acc_seg: 97.6896, aux.loss_ce: 0.0286, aux.acc_seg: 97.1173, loss: 0.0847 2023-02-25 15:40:17,661 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 13:54:16, time: 0.987, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8654, aux.loss_ce: 0.0270, aux.acc_seg: 97.2666, loss: 0.0785 2023-02-25 15:41:06,825 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 13:53:26, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.8046, aux.loss_ce: 0.0289, aux.acc_seg: 97.0707, loss: 0.0813 2023-02-25 15:41:55,979 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 13:52:36, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8757, aux.loss_ce: 0.0268, aux.acc_seg: 97.2930, loss: 0.0782 2023-02-25 15:42:45,265 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:42:45,265 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 13:51:46, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.7764, aux.loss_ce: 0.0282, aux.acc_seg: 97.1575, loss: 0.0818 2023-02-25 15:43:34,575 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 13:50:55, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8355, aux.loss_ce: 0.0285, aux.acc_seg: 97.1565, loss: 0.0814 2023-02-25 15:44:23,915 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 13:50:05, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.6817, aux.loss_ce: 0.0292, aux.acc_seg: 97.0458, loss: 0.0851 2023-02-25 15:45:15,506 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 13:49:16, time: 1.032, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8432, aux.loss_ce: 0.0274, aux.acc_seg: 97.2438, loss: 0.0795 2023-02-25 15:46:04,823 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 13:48:26, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8519, aux.loss_ce: 0.0280, aux.acc_seg: 97.1666, loss: 0.0801 2023-02-25 15:46:54,153 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 13:47:36, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8521, aux.loss_ce: 0.0272, aux.acc_seg: 97.2388, loss: 0.0788 2023-02-25 15:47:43,287 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 13:46:46, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0530, decode.acc_seg: 97.7664, aux.loss_ce: 0.0276, aux.acc_seg: 97.1530, loss: 0.0807 2023-02-25 15:48:32,991 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 13:45:56, time: 0.994, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8267, aux.loss_ce: 0.0286, aux.acc_seg: 97.1016, loss: 0.0805 2023-02-25 15:49:22,217 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 13:45:05, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.9141, aux.loss_ce: 0.0262, aux.acc_seg: 97.3680, loss: 0.0769 2023-02-25 15:50:11,486 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 13:44:15, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.9299, aux.loss_ce: 0.0272, aux.acc_seg: 97.2770, loss: 0.0776 2023-02-25 15:51:03,358 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 13:43:26, time: 1.038, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0553, decode.acc_seg: 97.7627, aux.loss_ce: 0.0286, aux.acc_seg: 97.1536, loss: 0.0839 2023-02-25 15:51:52,809 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 13:42:36, time: 0.989, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8629, aux.loss_ce: 0.0286, aux.acc_seg: 97.0866, loss: 0.0796 2023-02-25 15:52:41,896 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 13:41:46, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8933, aux.loss_ce: 0.0281, aux.acc_seg: 97.1852, loss: 0.0789 2023-02-25 15:53:31,114 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 13:40:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.9110, aux.loss_ce: 0.0279, aux.acc_seg: 97.1951, loss: 0.0783 2023-02-25 15:54:20,870 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 13:40:06, time: 0.995, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8854, aux.loss_ce: 0.0271, aux.acc_seg: 97.2744, loss: 0.0788 2023-02-25 15:55:10,540 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 13:39:16, time: 0.993, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8110, aux.loss_ce: 0.0269, aux.acc_seg: 97.2690, loss: 0.0795 2023-02-25 15:55:59,968 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 13:38:25, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 98.0012, aux.loss_ce: 0.0269, aux.acc_seg: 97.3034, loss: 0.0754 2023-02-25 15:56:49,139 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 13:37:35, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7557, aux.loss_ce: 0.0290, aux.acc_seg: 97.0229, loss: 0.0830 2023-02-25 15:57:40,807 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 13:36:46, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8781, aux.loss_ce: 0.0267, aux.acc_seg: 97.2900, loss: 0.0777 2023-02-25 15:58:30,014 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 13:35:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0539, decode.acc_seg: 97.7528, aux.loss_ce: 0.0280, aux.acc_seg: 97.1861, loss: 0.0819 2023-02-25 15:59:19,162 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 15:59:19,163 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 13:35:06, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8752, aux.loss_ce: 0.0276, aux.acc_seg: 97.1793, loss: 0.0783 2023-02-25 16:00:08,377 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 13:34:15, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8742, aux.loss_ce: 0.0266, aux.acc_seg: 97.2728, loss: 0.0775 2023-02-25 16:00:57,579 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 13:33:25, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8948, aux.loss_ce: 0.0271, aux.acc_seg: 97.2414, loss: 0.0779 2023-02-25 16:01:47,036 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 13:32:35, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8021, aux.loss_ce: 0.0283, aux.acc_seg: 97.1048, loss: 0.0809 2023-02-25 16:02:36,364 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 13:31:45, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8846, aux.loss_ce: 0.0270, aux.acc_seg: 97.2367, loss: 0.0773 2023-02-25 16:03:27,867 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 13:30:56, time: 1.030, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0558, decode.acc_seg: 97.6888, aux.loss_ce: 0.0294, aux.acc_seg: 97.0060, loss: 0.0852 2023-02-25 16:04:17,099 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 13:30:06, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8274, aux.loss_ce: 0.0270, aux.acc_seg: 97.2275, loss: 0.0790 2023-02-25 16:05:06,230 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 13:29:15, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0555, decode.acc_seg: 97.6822, aux.loss_ce: 0.0277, aux.acc_seg: 97.1574, loss: 0.0831 2023-02-25 16:05:55,288 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 13:28:25, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8311, aux.loss_ce: 0.0275, aux.acc_seg: 97.2089, loss: 0.0801 2023-02-25 16:06:44,755 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 13:27:35, time: 0.990, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7834, aux.loss_ce: 0.0274, aux.acc_seg: 97.2258, loss: 0.0808 2023-02-25 16:07:33,712 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 13:26:45, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8748, aux.loss_ce: 0.0278, aux.acc_seg: 97.1886, loss: 0.0786 2023-02-25 16:08:23,245 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 13:25:55, time: 0.991, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8169, aux.loss_ce: 0.0280, aux.acc_seg: 97.1937, loss: 0.0812 2023-02-25 16:09:12,354 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 13:25:04, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9161, aux.loss_ce: 0.0281, aux.acc_seg: 97.2458, loss: 0.0785 2023-02-25 16:10:03,876 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 13:24:15, time: 1.030, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7915, aux.loss_ce: 0.0279, aux.acc_seg: 97.1870, loss: 0.0813 2023-02-25 16:10:53,194 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 13:23:25, time: 0.986, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7779, aux.loss_ce: 0.0272, aux.acc_seg: 97.2237, loss: 0.0806 2023-02-25 16:11:42,624 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 13:22:35, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9371, aux.loss_ce: 0.0266, aux.acc_seg: 97.2908, loss: 0.0764 2023-02-25 16:12:31,949 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 13:21:45, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8069, aux.loss_ce: 0.0278, aux.acc_seg: 97.1477, loss: 0.0797 2023-02-25 16:13:21,017 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 13:20:55, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.8032, aux.loss_ce: 0.0279, aux.acc_seg: 97.1963, loss: 0.0811 2023-02-25 16:14:10,002 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 13:20:04, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.8963, aux.loss_ce: 0.0273, aux.acc_seg: 97.2014, loss: 0.0774 2023-02-25 16:14:59,323 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 13:19:14, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0536, decode.acc_seg: 97.7723, aux.loss_ce: 0.0278, aux.acc_seg: 97.1762, loss: 0.0814 2023-02-25 16:15:50,905 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-02-25 16:15:57,230 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:15:57,233 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 13:18:28, time: 1.158, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0582, decode.acc_seg: 97.6048, aux.loss_ce: 0.0301, aux.acc_seg: 97.0501, loss: 0.0883 2023-02-25 16:17:27,325 - mmseg - INFO - per class results: 2023-02-25 16:17:27,328 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.57 | 99.12 | | sidewalk | 87.94 | 94.62 | | building | 93.77 | 97.08 | | wall | 58.86 | 66.2 | | fence | 66.91 | 75.9 | | pole | 70.51 | 80.12 | | traffic light | 75.94 | 89.89 | | traffic sign | 83.67 | 88.18 | | vegetation | 93.25 | 96.66 | | terrain | 67.29 | 76.14 | | sky | 94.21 | 99.28 | | person | 85.89 | 94.39 | | rider | 68.96 | 81.43 | | car | 95.96 | 98.37 | | truck | 78.64 | 84.74 | | bus | 94.98 | 97.26 | | train | 89.91 | 93.62 | | motorcycle | 74.37 | 84.87 | | bicycle | 81.96 | 91.55 | +---------------+-------+-------+ 2023-02-25 16:17:27,328 - mmseg - INFO - Summary: 2023-02-25 16:17:27,328 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.74 | 82.19 | 88.92 | +-------+-------+-------+ 2023-02-25 16:17:27,329 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:17:27,329 - mmseg - INFO - Iter(val) [125] aAcc: 0.9674, mIoU: 0.8219, mAcc: 0.8892, IoU.road: 0.9857, IoU.sidewalk: 0.8794, IoU.building: 0.9377, IoU.wall: 0.5886, IoU.fence: 0.6691, IoU.pole: 0.7051, IoU.traffic light: 0.7594, IoU.traffic sign: 0.8367, IoU.vegetation: 0.9325, IoU.terrain: 0.6729, IoU.sky: 0.9421, IoU.person: 0.8589, IoU.rider: 0.6896, IoU.car: 0.9596, IoU.truck: 0.7864, IoU.bus: 0.9498, IoU.train: 0.8991, IoU.motorcycle: 0.7437, IoU.bicycle: 0.8196, Acc.road: 0.9912, Acc.sidewalk: 0.9462, Acc.building: 0.9708, Acc.wall: 0.6620, Acc.fence: 0.7590, Acc.pole: 0.8012, Acc.traffic light: 0.8989, Acc.traffic sign: 0.8818, Acc.vegetation: 0.9666, Acc.terrain: 0.7614, Acc.sky: 0.9928, Acc.person: 0.9439, Acc.rider: 0.8143, Acc.car: 0.9837, Acc.truck: 0.8474, Acc.bus: 0.9726, Acc.train: 0.9362, Acc.motorcycle: 0.8487, Acc.bicycle: 0.9155 2023-02-25 16:18:16,620 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 13:18:16, time: 2.788, data_time: 1.809, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8392, aux.loss_ce: 0.0300, aux.acc_seg: 97.0274, loss: 0.0823 2023-02-25 16:19:06,043 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 13:17:26, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9058, aux.loss_ce: 0.0265, aux.acc_seg: 97.3198, loss: 0.0768 2023-02-25 16:19:55,253 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 13:16:36, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8359, aux.loss_ce: 0.0265, aux.acc_seg: 97.3089, loss: 0.0786 2023-02-25 16:20:44,529 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 13:15:45, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.8046, aux.loss_ce: 0.0282, aux.acc_seg: 97.1568, loss: 0.0811 2023-02-25 16:21:33,902 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 13:14:55, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8578, aux.loss_ce: 0.0287, aux.acc_seg: 97.1012, loss: 0.0801 2023-02-25 16:22:23,413 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 13:14:05, time: 0.990, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0537, decode.acc_seg: 97.7571, aux.loss_ce: 0.0288, aux.acc_seg: 97.1487, loss: 0.0825 2023-02-25 16:23:15,496 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 13:13:16, time: 1.042, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0554, decode.acc_seg: 97.7059, aux.loss_ce: 0.0286, aux.acc_seg: 97.1039, loss: 0.0840 2023-02-25 16:24:04,802 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 13:12:26, time: 0.986, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9603, aux.loss_ce: 0.0268, aux.acc_seg: 97.2860, loss: 0.0763 2023-02-25 16:24:53,877 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 13:11:35, time: 0.981, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.7908, aux.loss_ce: 0.0282, aux.acc_seg: 97.1115, loss: 0.0809 2023-02-25 16:25:43,370 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 13:10:45, time: 0.990, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.7984, aux.loss_ce: 0.0270, aux.acc_seg: 97.2148, loss: 0.0792 2023-02-25 16:26:32,735 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 13:09:55, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8478, aux.loss_ce: 0.0279, aux.acc_seg: 97.1635, loss: 0.0793 2023-02-25 16:27:22,257 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 13:09:05, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8384, aux.loss_ce: 0.0273, aux.acc_seg: 97.2132, loss: 0.0791 2023-02-25 16:28:11,335 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 13:08:15, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8389, aux.loss_ce: 0.0282, aux.acc_seg: 97.1213, loss: 0.0797 2023-02-25 16:29:00,627 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 13:07:24, time: 0.986, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.9071, aux.loss_ce: 0.0272, aux.acc_seg: 97.2731, loss: 0.0778 2023-02-25 16:29:52,416 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 13:06:35, time: 1.036, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8630, aux.loss_ce: 0.0263, aux.acc_seg: 97.3205, loss: 0.0775 2023-02-25 16:30:41,835 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 13:05:45, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8793, aux.loss_ce: 0.0263, aux.acc_seg: 97.3383, loss: 0.0775 2023-02-25 16:31:31,099 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 13:04:55, time: 0.985, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8558, aux.loss_ce: 0.0274, aux.acc_seg: 97.2238, loss: 0.0791 2023-02-25 16:32:20,338 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 13:04:05, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8662, aux.loss_ce: 0.0270, aux.acc_seg: 97.2532, loss: 0.0778 2023-02-25 16:33:09,754 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 13:03:15, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9603, aux.loss_ce: 0.0280, aux.acc_seg: 97.1791, loss: 0.0772 2023-02-25 16:33:59,190 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:33:59,191 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 13:02:24, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.8162, aux.loss_ce: 0.0285, aux.acc_seg: 97.1882, loss: 0.0820 2023-02-25 16:34:48,521 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 13:01:34, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8474, aux.loss_ce: 0.0270, aux.acc_seg: 97.2374, loss: 0.0785 2023-02-25 16:35:40,281 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 13:00:45, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8487, aux.loss_ce: 0.0278, aux.acc_seg: 97.2238, loss: 0.0788 2023-02-25 16:36:29,537 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 12:59:55, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0233, aux.loss_ce: 0.0263, aux.acc_seg: 97.3177, loss: 0.0737 2023-02-25 16:37:18,820 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 12:59:05, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9213, aux.loss_ce: 0.0270, aux.acc_seg: 97.2507, loss: 0.0770 2023-02-25 16:38:08,446 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 12:58:14, time: 0.992, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9049, aux.loss_ce: 0.0276, aux.acc_seg: 97.1943, loss: 0.0778 2023-02-25 16:38:57,762 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 12:57:24, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8226, aux.loss_ce: 0.0264, aux.acc_seg: 97.3373, loss: 0.0791 2023-02-25 16:39:46,932 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 12:56:34, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7805, aux.loss_ce: 0.0280, aux.acc_seg: 97.1414, loss: 0.0811 2023-02-25 16:40:36,288 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 12:55:44, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7795, aux.loss_ce: 0.0274, aux.acc_seg: 97.2134, loss: 0.0809 2023-02-25 16:41:25,679 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 12:54:54, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8254, aux.loss_ce: 0.0271, aux.acc_seg: 97.2434, loss: 0.0793 2023-02-25 16:42:17,347 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 12:54:04, time: 1.033, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8867, aux.loss_ce: 0.0275, aux.acc_seg: 97.2163, loss: 0.0786 2023-02-25 16:43:06,848 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 12:53:14, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7575, aux.loss_ce: 0.0275, aux.acc_seg: 97.2100, loss: 0.0813 2023-02-25 16:43:56,590 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 12:52:24, time: 0.995, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0558, decode.acc_seg: 97.6696, aux.loss_ce: 0.0298, aux.acc_seg: 96.9828, loss: 0.0855 2023-02-25 16:44:45,987 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 12:51:34, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8626, aux.loss_ce: 0.0271, aux.acc_seg: 97.2385, loss: 0.0785 2023-02-25 16:45:35,276 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 12:50:44, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8583, aux.loss_ce: 0.0273, aux.acc_seg: 97.2105, loss: 0.0786 2023-02-25 16:46:24,760 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 12:49:54, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8946, aux.loss_ce: 0.0282, aux.acc_seg: 97.2281, loss: 0.0795 2023-02-25 16:47:14,098 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 12:49:04, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9002, aux.loss_ce: 0.0280, aux.acc_seg: 97.1576, loss: 0.0783 2023-02-25 16:48:06,011 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 12:48:14, time: 1.038, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8564, aux.loss_ce: 0.0264, aux.acc_seg: 97.2906, loss: 0.0772 2023-02-25 16:48:55,366 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 12:47:24, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.7752, aux.loss_ce: 0.0274, aux.acc_seg: 97.2123, loss: 0.0806 2023-02-25 16:49:44,731 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 12:46:34, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7523, aux.loss_ce: 0.0286, aux.acc_seg: 97.1200, loss: 0.0829 2023-02-25 16:50:33,958 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 16:50:33,958 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 12:45:44, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8784, aux.loss_ce: 0.0268, aux.acc_seg: 97.2767, loss: 0.0775 2023-02-25 16:51:23,344 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 12:44:54, time: 0.988, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9249, aux.loss_ce: 0.0271, aux.acc_seg: 97.2505, loss: 0.0770 2023-02-25 16:52:12,349 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 12:44:03, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0425, aux.loss_ce: 0.0253, aux.acc_seg: 97.4009, loss: 0.0721 2023-02-25 16:53:01,686 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 12:43:13, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.8701, aux.loss_ce: 0.0271, aux.acc_seg: 97.2251, loss: 0.0776 2023-02-25 16:53:50,669 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 12:42:23, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8205, aux.loss_ce: 0.0288, aux.acc_seg: 97.0651, loss: 0.0813 2023-02-25 16:54:42,090 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 12:41:34, time: 1.028, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.7931, aux.loss_ce: 0.0281, aux.acc_seg: 97.1442, loss: 0.0808 2023-02-25 16:55:31,214 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 12:40:43, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9148, aux.loss_ce: 0.0264, aux.acc_seg: 97.3386, loss: 0.0766 2023-02-25 16:56:20,717 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 12:39:53, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9517, aux.loss_ce: 0.0257, aux.acc_seg: 97.3433, loss: 0.0744 2023-02-25 16:57:09,734 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 12:39:03, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0564, decode.acc_seg: 97.7368, aux.loss_ce: 0.0294, aux.acc_seg: 97.1024, loss: 0.0858 2023-02-25 16:57:58,791 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 12:38:13, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8373, aux.loss_ce: 0.0273, aux.acc_seg: 97.2353, loss: 0.0795 2023-02-25 16:58:47,319 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 12:37:22, time: 0.971, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9447, aux.loss_ce: 0.0272, aux.acc_seg: 97.2931, loss: 0.0770 2023-02-25 16:59:35,812 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 12:36:32, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0532, decode.acc_seg: 97.7829, aux.loss_ce: 0.0282, aux.acc_seg: 97.1256, loss: 0.0813 2023-02-25 17:00:27,567 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 12:35:42, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7496, aux.loss_ce: 0.0283, aux.acc_seg: 97.0399, loss: 0.0814 2023-02-25 17:01:16,648 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 12:34:52, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9094, aux.loss_ce: 0.0286, aux.acc_seg: 97.1347, loss: 0.0788 2023-02-25 17:02:05,900 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 12:34:02, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8587, aux.loss_ce: 0.0284, aux.acc_seg: 97.1303, loss: 0.0798 2023-02-25 17:02:55,120 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 12:33:12, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8782, aux.loss_ce: 0.0270, aux.acc_seg: 97.2334, loss: 0.0774 2023-02-25 17:03:44,315 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 12:32:21, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8896, aux.loss_ce: 0.0289, aux.acc_seg: 97.1024, loss: 0.0807 2023-02-25 17:04:33,467 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 12:31:31, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8611, aux.loss_ce: 0.0270, aux.acc_seg: 97.2761, loss: 0.0786 2023-02-25 17:05:22,752 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 12:30:41, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8697, aux.loss_ce: 0.0276, aux.acc_seg: 97.2065, loss: 0.0790 2023-02-25 17:06:14,380 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 12:29:52, time: 1.032, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9626, aux.loss_ce: 0.0264, aux.acc_seg: 97.3396, loss: 0.0756 2023-02-25 17:07:03,468 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:07:03,469 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 12:29:01, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0573, decode.acc_seg: 97.6442, aux.loss_ce: 0.0297, aux.acc_seg: 97.0809, loss: 0.0870 2023-02-25 17:07:52,863 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 12:28:11, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8884, aux.loss_ce: 0.0268, aux.acc_seg: 97.3107, loss: 0.0778 2023-02-25 17:08:42,523 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 12:27:21, time: 0.994, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0543, decode.acc_seg: 97.7476, aux.loss_ce: 0.0290, aux.acc_seg: 97.0589, loss: 0.0833 2023-02-25 17:09:31,749 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 12:26:31, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8565, aux.loss_ce: 0.0288, aux.acc_seg: 97.0890, loss: 0.0804 2023-02-25 17:10:20,901 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 12:25:41, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9199, aux.loss_ce: 0.0267, aux.acc_seg: 97.2950, loss: 0.0770 2023-02-25 17:11:09,893 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 12:24:51, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9866, aux.loss_ce: 0.0266, aux.acc_seg: 97.2982, loss: 0.0752 2023-02-25 17:11:59,167 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 12:24:00, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8674, aux.loss_ce: 0.0275, aux.acc_seg: 97.2079, loss: 0.0788 2023-02-25 17:12:51,010 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 12:23:11, time: 1.037, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8394, aux.loss_ce: 0.0276, aux.acc_seg: 97.2044, loss: 0.0797 2023-02-25 17:13:40,527 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 12:22:21, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9130, aux.loss_ce: 0.0264, aux.acc_seg: 97.3070, loss: 0.0763 2023-02-25 17:14:29,809 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 12:21:31, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8592, aux.loss_ce: 0.0259, aux.acc_seg: 97.3725, loss: 0.0771 2023-02-25 17:15:18,964 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 12:20:41, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8488, aux.loss_ce: 0.0279, aux.acc_seg: 97.1784, loss: 0.0796 2023-02-25 17:16:08,440 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 12:19:51, time: 0.989, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8912, aux.loss_ce: 0.0279, aux.acc_seg: 97.1913, loss: 0.0788 2023-02-25 17:16:57,798 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 12:19:00, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0530, decode.acc_seg: 97.8026, aux.loss_ce: 0.0272, aux.acc_seg: 97.2749, loss: 0.0801 2023-02-25 17:17:47,186 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 12:18:10, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8170, aux.loss_ce: 0.0272, aux.acc_seg: 97.2063, loss: 0.0797 2023-02-25 17:18:38,965 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 12:17:21, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8468, aux.loss_ce: 0.0281, aux.acc_seg: 97.1480, loss: 0.0801 2023-02-25 17:19:27,938 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 12:16:31, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9069, aux.loss_ce: 0.0263, aux.acc_seg: 97.3307, loss: 0.0765 2023-02-25 17:20:17,092 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 12:15:40, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8189, aux.loss_ce: 0.0281, aux.acc_seg: 97.1729, loss: 0.0807 2023-02-25 17:21:06,095 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 12:14:50, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9700, aux.loss_ce: 0.0265, aux.acc_seg: 97.3069, loss: 0.0753 2023-02-25 17:21:55,238 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 12:14:00, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.8987, aux.loss_ce: 0.0262, aux.acc_seg: 97.3389, loss: 0.0768 2023-02-25 17:22:44,254 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 12:13:10, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.8018, aux.loss_ce: 0.0287, aux.acc_seg: 97.1104, loss: 0.0816 2023-02-25 17:23:33,792 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:23:33,792 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 12:12:20, time: 0.991, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0544, decode.acc_seg: 97.7407, aux.loss_ce: 0.0280, aux.acc_seg: 97.1631, loss: 0.0824 2023-02-25 17:24:22,953 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 12:11:29, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8079, aux.loss_ce: 0.0278, aux.acc_seg: 97.1598, loss: 0.0801 2023-02-25 17:25:14,810 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 12:10:40, time: 1.037, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.9162, aux.loss_ce: 0.0262, aux.acc_seg: 97.3722, loss: 0.0766 2023-02-25 17:26:04,195 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 12:09:50, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0051, aux.loss_ce: 0.0257, aux.acc_seg: 97.3491, loss: 0.0729 2023-02-25 17:26:53,607 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 12:09:00, time: 0.988, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8910, aux.loss_ce: 0.0266, aux.acc_seg: 97.3150, loss: 0.0774 2023-02-25 17:27:43,010 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 12:08:10, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9402, aux.loss_ce: 0.0262, aux.acc_seg: 97.3071, loss: 0.0751 2023-02-25 17:28:32,163 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 12:07:20, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8376, aux.loss_ce: 0.0274, aux.acc_seg: 97.2067, loss: 0.0796 2023-02-25 17:29:21,555 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 12:06:29, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8741, aux.loss_ce: 0.0276, aux.acc_seg: 97.2015, loss: 0.0786 2023-02-25 17:30:10,606 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 12:05:39, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8434, aux.loss_ce: 0.0276, aux.acc_seg: 97.2048, loss: 0.0794 2023-02-25 17:31:02,318 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 12:04:50, time: 1.034, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8431, aux.loss_ce: 0.0271, aux.acc_seg: 97.2697, loss: 0.0791 2023-02-25 17:31:51,657 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 12:04:00, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.7820, aux.loss_ce: 0.0272, aux.acc_seg: 97.2046, loss: 0.0798 2023-02-25 17:32:41,020 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 12:03:10, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8498, aux.loss_ce: 0.0271, aux.acc_seg: 97.2418, loss: 0.0783 2023-02-25 17:33:30,079 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 12:02:19, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8938, aux.loss_ce: 0.0276, aux.acc_seg: 97.2126, loss: 0.0787 2023-02-25 17:34:19,275 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 12:01:29, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9673, aux.loss_ce: 0.0264, aux.acc_seg: 97.3546, loss: 0.0759 2023-02-25 17:35:09,211 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 12:00:39, time: 0.999, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0455, decode.acc_seg: 98.0945, aux.loss_ce: 0.0245, aux.acc_seg: 97.4943, loss: 0.0700 2023-02-25 17:35:58,335 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 11:59:49, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8334, aux.loss_ce: 0.0274, aux.acc_seg: 97.1960, loss: 0.0792 2023-02-25 17:36:47,599 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 11:58:59, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9492, aux.loss_ce: 0.0270, aux.acc_seg: 97.2696, loss: 0.0767 2023-02-25 17:37:39,267 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 11:58:10, time: 1.033, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8283, aux.loss_ce: 0.0274, aux.acc_seg: 97.2122, loss: 0.0800 2023-02-25 17:38:28,554 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 11:57:19, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9659, aux.loss_ce: 0.0252, aux.acc_seg: 97.4017, loss: 0.0732 2023-02-25 17:39:17,824 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 11:56:29, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0117, aux.loss_ce: 0.0255, aux.acc_seg: 97.3952, loss: 0.0731 2023-02-25 17:40:07,362 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:40:07,362 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 11:55:39, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8343, aux.loss_ce: 0.0265, aux.acc_seg: 97.2975, loss: 0.0785 2023-02-25 17:40:56,591 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 11:54:49, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8634, aux.loss_ce: 0.0265, aux.acc_seg: 97.2731, loss: 0.0772 2023-02-25 17:41:45,861 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 11:53:59, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9455, aux.loss_ce: 0.0266, aux.acc_seg: 97.2563, loss: 0.0759 2023-02-25 17:42:35,186 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 11:53:09, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8125, aux.loss_ce: 0.0268, aux.acc_seg: 97.2789, loss: 0.0792 2023-02-25 17:43:27,167 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 11:52:19, time: 1.040, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9359, aux.loss_ce: 0.0269, aux.acc_seg: 97.2597, loss: 0.0765 2023-02-25 17:44:16,473 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 11:51:29, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9189, aux.loss_ce: 0.0270, aux.acc_seg: 97.2838, loss: 0.0773 2023-02-25 17:45:05,716 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 11:50:39, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8950, aux.loss_ce: 0.0262, aux.acc_seg: 97.3059, loss: 0.0765 2023-02-25 17:45:54,905 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 11:49:49, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8278, aux.loss_ce: 0.0280, aux.acc_seg: 97.1184, loss: 0.0793 2023-02-25 17:46:44,130 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 11:48:59, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8946, aux.loss_ce: 0.0274, aux.acc_seg: 97.2192, loss: 0.0778 2023-02-25 17:47:33,583 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 11:48:09, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9821, aux.loss_ce: 0.0256, aux.acc_seg: 97.3890, loss: 0.0740 2023-02-25 17:48:22,973 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 11:47:18, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0570, decode.acc_seg: 97.6646, aux.loss_ce: 0.0297, aux.acc_seg: 97.0316, loss: 0.0868 2023-02-25 17:49:12,291 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 11:46:28, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9857, aux.loss_ce: 0.0269, aux.acc_seg: 97.2967, loss: 0.0752 2023-02-25 17:50:04,018 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 11:45:39, time: 1.035, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9466, aux.loss_ce: 0.0266, aux.acc_seg: 97.3052, loss: 0.0758 2023-02-25 17:50:53,552 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 11:44:49, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9141, aux.loss_ce: 0.0274, aux.acc_seg: 97.2326, loss: 0.0772 2023-02-25 17:51:42,827 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 11:43:59, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9366, aux.loss_ce: 0.0249, aux.acc_seg: 97.4556, loss: 0.0743 2023-02-25 17:52:32,153 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 11:43:09, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7965, aux.loss_ce: 0.0275, aux.acc_seg: 97.1965, loss: 0.0809 2023-02-25 17:53:21,468 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 11:42:18, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8643, aux.loss_ce: 0.0274, aux.acc_seg: 97.2089, loss: 0.0782 2023-02-25 17:54:10,763 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 11:41:28, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8446, aux.loss_ce: 0.0279, aux.acc_seg: 97.1608, loss: 0.0789 2023-02-25 17:55:00,092 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 11:40:38, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0540, decode.acc_seg: 97.7626, aux.loss_ce: 0.0285, aux.acc_seg: 97.1418, loss: 0.0825 2023-02-25 17:55:51,764 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 11:39:49, time: 1.033, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 98.0201, aux.loss_ce: 0.0259, aux.acc_seg: 97.3761, loss: 0.0737 2023-02-25 17:56:41,009 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 17:56:41,010 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 11:38:59, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9018, aux.loss_ce: 0.0267, aux.acc_seg: 97.2530, loss: 0.0767 2023-02-25 17:57:30,344 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 11:38:09, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8632, aux.loss_ce: 0.0280, aux.acc_seg: 97.1736, loss: 0.0794 2023-02-25 17:58:19,716 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 11:37:18, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.7464, aux.loss_ce: 0.0269, aux.acc_seg: 97.2636, loss: 0.0807 2023-02-25 17:59:09,345 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 11:36:28, time: 0.993, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9386, aux.loss_ce: 0.0262, aux.acc_seg: 97.3648, loss: 0.0761 2023-02-25 17:59:58,624 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 11:35:38, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8252, aux.loss_ce: 0.0266, aux.acc_seg: 97.2562, loss: 0.0783 2023-02-25 18:00:47,962 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 11:34:48, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.8199, aux.loss_ce: 0.0267, aux.acc_seg: 97.3030, loss: 0.0792 2023-02-25 18:01:39,689 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 11:33:59, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0010, aux.loss_ce: 0.0261, aux.acc_seg: 97.3256, loss: 0.0739 2023-02-25 18:02:29,426 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 11:33:09, time: 0.995, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9436, aux.loss_ce: 0.0264, aux.acc_seg: 97.3089, loss: 0.0756 2023-02-25 18:03:18,785 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 11:32:19, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 98.0208, aux.loss_ce: 0.0258, aux.acc_seg: 97.4147, loss: 0.0741 2023-02-25 18:04:08,234 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 11:31:29, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.8971, aux.loss_ce: 0.0266, aux.acc_seg: 97.2587, loss: 0.0764 2023-02-25 18:04:57,592 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 11:30:39, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9106, aux.loss_ce: 0.0271, aux.acc_seg: 97.2503, loss: 0.0775 2023-02-25 18:05:46,995 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 11:29:48, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0541, decode.acc_seg: 97.7667, aux.loss_ce: 0.0295, aux.acc_seg: 97.0522, loss: 0.0836 2023-02-25 18:06:36,309 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 11:28:58, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8981, aux.loss_ce: 0.0275, aux.acc_seg: 97.2229, loss: 0.0783 2023-02-25 18:07:25,495 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 11:28:08, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8820, aux.loss_ce: 0.0283, aux.acc_seg: 97.1511, loss: 0.0795 2023-02-25 18:08:17,128 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 11:27:19, time: 1.033, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8476, aux.loss_ce: 0.0272, aux.acc_seg: 97.2625, loss: 0.0795 2023-02-25 18:09:06,451 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 11:26:29, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8811, aux.loss_ce: 0.0267, aux.acc_seg: 97.2890, loss: 0.0774 2023-02-25 18:09:55,853 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 11:25:38, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.7946, aux.loss_ce: 0.0283, aux.acc_seg: 97.1395, loss: 0.0812 2023-02-25 18:10:45,098 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 11:24:48, time: 0.985, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8539, aux.loss_ce: 0.0282, aux.acc_seg: 97.1766, loss: 0.0801 2023-02-25 18:11:34,704 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 11:23:58, time: 0.992, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8664, aux.loss_ce: 0.0272, aux.acc_seg: 97.2523, loss: 0.0789 2023-02-25 18:12:24,054 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 11:23:08, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.7891, aux.loss_ce: 0.0273, aux.acc_seg: 97.1995, loss: 0.0799 2023-02-25 18:13:13,457 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:13:13,457 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 11:22:18, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8553, aux.loss_ce: 0.0268, aux.acc_seg: 97.2724, loss: 0.0783 2023-02-25 18:14:05,411 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 11:21:29, time: 1.039, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8811, aux.loss_ce: 0.0262, aux.acc_seg: 97.3026, loss: 0.0774 2023-02-25 18:14:54,766 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 11:20:39, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9378, aux.loss_ce: 0.0267, aux.acc_seg: 97.2858, loss: 0.0759 2023-02-25 18:15:44,143 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 11:19:49, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8312, aux.loss_ce: 0.0273, aux.acc_seg: 97.2235, loss: 0.0796 2023-02-25 18:16:33,407 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 11:18:58, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8909, aux.loss_ce: 0.0273, aux.acc_seg: 97.2348, loss: 0.0780 2023-02-25 18:17:22,667 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 11:18:08, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8136, aux.loss_ce: 0.0270, aux.acc_seg: 97.2661, loss: 0.0798 2023-02-25 18:18:12,013 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 11:17:18, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.9557, aux.loss_ce: 0.0266, aux.acc_seg: 97.3388, loss: 0.0760 2023-02-25 18:19:01,157 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 11:16:28, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8729, aux.loss_ce: 0.0274, aux.acc_seg: 97.2153, loss: 0.0782 2023-02-25 18:19:50,566 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 11:15:38, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9549, aux.loss_ce: 0.0264, aux.acc_seg: 97.3095, loss: 0.0753 2023-02-25 18:20:42,493 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 11:14:49, time: 1.039, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9278, aux.loss_ce: 0.0263, aux.acc_seg: 97.2596, loss: 0.0750 2023-02-25 18:21:31,915 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 11:13:59, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9746, aux.loss_ce: 0.0262, aux.acc_seg: 97.3782, loss: 0.0754 2023-02-25 18:22:20,990 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 11:13:08, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8656, aux.loss_ce: 0.0265, aux.acc_seg: 97.2889, loss: 0.0777 2023-02-25 18:23:10,488 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 11:12:18, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8817, aux.loss_ce: 0.0270, aux.acc_seg: 97.2881, loss: 0.0786 2023-02-25 18:24:00,106 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 11:11:28, time: 0.992, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9086, aux.loss_ce: 0.0265, aux.acc_seg: 97.3147, loss: 0.0768 2023-02-25 18:24:49,789 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 11:10:38, time: 0.993, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8657, aux.loss_ce: 0.0281, aux.acc_seg: 97.1783, loss: 0.0797 2023-02-25 18:25:38,890 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 11:09:48, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9887, aux.loss_ce: 0.0260, aux.acc_seg: 97.3817, loss: 0.0744 2023-02-25 18:26:30,740 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 11:08:59, time: 1.037, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9306, aux.loss_ce: 0.0257, aux.acc_seg: 97.3734, loss: 0.0751 2023-02-25 18:27:19,720 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 11:08:09, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8885, aux.loss_ce: 0.0269, aux.acc_seg: 97.2832, loss: 0.0777 2023-02-25 18:28:08,726 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 11:07:18, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9626, aux.loss_ce: 0.0263, aux.acc_seg: 97.3250, loss: 0.0750 2023-02-25 18:28:57,927 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 11:06:28, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8465, aux.loss_ce: 0.0270, aux.acc_seg: 97.2420, loss: 0.0784 2023-02-25 18:29:47,187 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:29:47,188 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 11:05:38, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8327, aux.loss_ce: 0.0280, aux.acc_seg: 97.1692, loss: 0.0796 2023-02-25 18:30:36,174 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 11:04:48, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.7982, aux.loss_ce: 0.0288, aux.acc_seg: 97.1596, loss: 0.0815 2023-02-25 18:31:24,476 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 11:03:57, time: 0.966, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9214, aux.loss_ce: 0.0269, aux.acc_seg: 97.2469, loss: 0.0761 2023-02-25 18:32:13,004 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 11:03:07, time: 0.970, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9230, aux.loss_ce: 0.0272, aux.acc_seg: 97.2165, loss: 0.0768 2023-02-25 18:33:04,335 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 11:02:17, time: 1.027, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8636, aux.loss_ce: 0.0260, aux.acc_seg: 97.3276, loss: 0.0769 2023-02-25 18:33:53,571 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 11:01:27, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7705, aux.loss_ce: 0.0278, aux.acc_seg: 97.1830, loss: 0.0812 2023-02-25 18:34:42,871 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 11:00:37, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9680, aux.loss_ce: 0.0265, aux.acc_seg: 97.3442, loss: 0.0756 2023-02-25 18:35:32,094 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 10:59:47, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7642, aux.loss_ce: 0.0273, aux.acc_seg: 97.2144, loss: 0.0804 2023-02-25 18:36:21,511 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 10:58:57, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0081, aux.loss_ce: 0.0251, aux.acc_seg: 97.4267, loss: 0.0726 2023-02-25 18:37:10,781 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 10:58:07, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.9081, aux.loss_ce: 0.0265, aux.acc_seg: 97.3067, loss: 0.0764 2023-02-25 18:38:00,007 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 10:57:17, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8408, aux.loss_ce: 0.0279, aux.acc_seg: 97.1734, loss: 0.0798 2023-02-25 18:38:51,601 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 10:56:27, time: 1.032, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8898, aux.loss_ce: 0.0272, aux.acc_seg: 97.2306, loss: 0.0782 2023-02-25 18:39:40,834 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 10:55:37, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0307, aux.loss_ce: 0.0252, aux.acc_seg: 97.3900, loss: 0.0719 2023-02-25 18:40:30,105 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 10:54:47, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8972, aux.loss_ce: 0.0271, aux.acc_seg: 97.2828, loss: 0.0781 2023-02-25 18:41:19,293 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 10:53:57, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8264, aux.loss_ce: 0.0275, aux.acc_seg: 97.2203, loss: 0.0798 2023-02-25 18:42:08,524 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 10:53:07, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8489, aux.loss_ce: 0.0272, aux.acc_seg: 97.2257, loss: 0.0788 2023-02-25 18:42:57,955 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 10:52:17, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9176, aux.loss_ce: 0.0264, aux.acc_seg: 97.3266, loss: 0.0762 2023-02-25 18:43:47,244 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 10:51:26, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8673, aux.loss_ce: 0.0276, aux.acc_seg: 97.2157, loss: 0.0790 2023-02-25 18:44:36,444 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 10:50:36, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9558, aux.loss_ce: 0.0268, aux.acc_seg: 97.2665, loss: 0.0759 2023-02-25 18:45:28,107 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 10:49:47, time: 1.033, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8900, aux.loss_ce: 0.0271, aux.acc_seg: 97.2562, loss: 0.0783 2023-02-25 18:46:17,335 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 18:46:17,336 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 10:48:57, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.9265, aux.loss_ce: 0.0267, aux.acc_seg: 97.3118, loss: 0.0766 2023-02-25 18:47:06,461 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 10:48:07, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9525, aux.loss_ce: 0.0270, aux.acc_seg: 97.2755, loss: 0.0762 2023-02-25 18:47:55,758 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 10:47:17, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9860, aux.loss_ce: 0.0254, aux.acc_seg: 97.4215, loss: 0.0736 2023-02-25 18:48:45,169 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 10:46:26, time: 0.988, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0061, aux.loss_ce: 0.0262, aux.acc_seg: 97.3292, loss: 0.0740 2023-02-25 18:49:34,521 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 10:45:36, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9678, aux.loss_ce: 0.0255, aux.acc_seg: 97.3979, loss: 0.0743 2023-02-25 18:50:23,615 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 10:44:46, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8402, aux.loss_ce: 0.0267, aux.acc_seg: 97.2681, loss: 0.0784 2023-02-25 18:51:15,146 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 10:43:57, time: 1.030, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8848, aux.loss_ce: 0.0269, aux.acc_seg: 97.2898, loss: 0.0786 2023-02-25 18:52:04,530 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 10:43:07, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.7910, aux.loss_ce: 0.0278, aux.acc_seg: 97.1501, loss: 0.0803 2023-02-25 18:52:53,834 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 10:42:17, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8874, aux.loss_ce: 0.0267, aux.acc_seg: 97.2839, loss: 0.0775 2023-02-25 18:53:43,284 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 10:41:26, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0518, decode.acc_seg: 97.8591, aux.loss_ce: 0.0260, aux.acc_seg: 97.3636, loss: 0.0778 2023-02-25 18:54:32,666 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 10:40:36, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8466, aux.loss_ce: 0.0268, aux.acc_seg: 97.2589, loss: 0.0782 2023-02-25 18:55:22,056 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 10:39:46, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9637, aux.loss_ce: 0.0267, aux.acc_seg: 97.2904, loss: 0.0757 2023-02-25 18:56:11,370 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 10:38:56, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.8970, aux.loss_ce: 0.0269, aux.acc_seg: 97.2466, loss: 0.0769 2023-02-25 18:57:03,160 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 10:38:07, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.8968, aux.loss_ce: 0.0266, aux.acc_seg: 97.2670, loss: 0.0766 2023-02-25 18:57:52,575 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 10:37:17, time: 0.988, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8224, aux.loss_ce: 0.0277, aux.acc_seg: 97.1779, loss: 0.0799 2023-02-25 18:58:41,888 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 10:36:27, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9057, aux.loss_ce: 0.0270, aux.acc_seg: 97.2550, loss: 0.0771 2023-02-25 18:59:31,200 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 10:35:37, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8332, aux.loss_ce: 0.0284, aux.acc_seg: 97.1391, loss: 0.0808 2023-02-25 19:00:20,652 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 10:34:47, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8701, aux.loss_ce: 0.0261, aux.acc_seg: 97.3636, loss: 0.0773 2023-02-25 19:01:10,319 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 10:33:57, time: 0.994, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8119, aux.loss_ce: 0.0285, aux.acc_seg: 97.1522, loss: 0.0818 2023-02-25 19:01:59,698 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 10:33:06, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0375, aux.loss_ce: 0.0257, aux.acc_seg: 97.3961, loss: 0.0731 2023-02-25 19:02:49,076 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:02:49,077 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 10:32:16, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.7648, aux.loss_ce: 0.0276, aux.acc_seg: 97.1984, loss: 0.0809 2023-02-25 19:03:40,793 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 10:31:27, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9592, aux.loss_ce: 0.0264, aux.acc_seg: 97.3231, loss: 0.0755 2023-02-25 19:04:30,181 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 10:30:37, time: 0.988, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8391, aux.loss_ce: 0.0275, aux.acc_seg: 97.2241, loss: 0.0797 2023-02-25 19:05:19,463 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 10:29:47, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9793, aux.loss_ce: 0.0261, aux.acc_seg: 97.3659, loss: 0.0751 2023-02-25 19:06:08,785 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 10:28:57, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9385, aux.loss_ce: 0.0272, aux.acc_seg: 97.2630, loss: 0.0776 2023-02-25 19:06:58,120 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 10:28:07, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.9034, aux.loss_ce: 0.0276, aux.acc_seg: 97.2508, loss: 0.0787 2023-02-25 19:07:47,303 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 10:27:16, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.8807, aux.loss_ce: 0.0267, aux.acc_seg: 97.2383, loss: 0.0769 2023-02-25 19:08:36,852 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 10:26:26, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0173, aux.loss_ce: 0.0261, aux.acc_seg: 97.3104, loss: 0.0730 2023-02-25 19:09:28,792 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 10:25:37, time: 1.039, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9893, aux.loss_ce: 0.0260, aux.acc_seg: 97.3741, loss: 0.0747 2023-02-25 19:10:18,143 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 10:24:47, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9672, aux.loss_ce: 0.0260, aux.acc_seg: 97.3555, loss: 0.0746 2023-02-25 19:11:07,638 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 10:23:57, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9221, aux.loss_ce: 0.0269, aux.acc_seg: 97.2592, loss: 0.0766 2023-02-25 19:11:57,167 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 10:23:07, time: 0.991, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8641, aux.loss_ce: 0.0269, aux.acc_seg: 97.2668, loss: 0.0781 2023-02-25 19:12:46,431 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 10:22:17, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8459, aux.loss_ce: 0.0276, aux.acc_seg: 97.1638, loss: 0.0786 2023-02-25 19:13:35,696 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 10:21:27, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0240, aux.loss_ce: 0.0257, aux.acc_seg: 97.3857, loss: 0.0729 2023-02-25 19:14:25,168 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 10:20:37, time: 0.989, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9081, aux.loss_ce: 0.0266, aux.acc_seg: 97.2878, loss: 0.0767 2023-02-25 19:15:14,337 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 10:19:47, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0187, aux.loss_ce: 0.0261, aux.acc_seg: 97.3419, loss: 0.0735 2023-02-25 19:16:06,027 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 10:18:57, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9137, aux.loss_ce: 0.0261, aux.acc_seg: 97.3235, loss: 0.0761 2023-02-25 19:16:55,492 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 10:18:07, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9704, aux.loss_ce: 0.0258, aux.acc_seg: 97.3504, loss: 0.0739 2023-02-25 19:17:44,641 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 10:17:17, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9496, aux.loss_ce: 0.0268, aux.acc_seg: 97.2878, loss: 0.0760 2023-02-25 19:18:34,010 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 10:16:27, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9531, aux.loss_ce: 0.0261, aux.acc_seg: 97.3525, loss: 0.0756 2023-02-25 19:19:23,102 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:19:23,103 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 10:15:37, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8286, aux.loss_ce: 0.0272, aux.acc_seg: 97.2130, loss: 0.0792 2023-02-25 19:20:12,422 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 10:14:47, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9273, aux.loss_ce: 0.0261, aux.acc_seg: 97.3390, loss: 0.0754 2023-02-25 19:21:01,681 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 10:13:57, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9558, aux.loss_ce: 0.0264, aux.acc_seg: 97.3027, loss: 0.0751 2023-02-25 19:21:53,259 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 10:13:07, time: 1.032, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.9020, aux.loss_ce: 0.0266, aux.acc_seg: 97.3017, loss: 0.0771 2023-02-25 19:22:42,357 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 10:12:17, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8981, aux.loss_ce: 0.0270, aux.acc_seg: 97.2587, loss: 0.0778 2023-02-25 19:23:31,634 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 10:11:27, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8658, aux.loss_ce: 0.0263, aux.acc_seg: 97.3107, loss: 0.0772 2023-02-25 19:24:20,949 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 10:10:37, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8406, aux.loss_ce: 0.0271, aux.acc_seg: 97.2571, loss: 0.0790 2023-02-25 19:25:10,688 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 10:09:47, time: 0.995, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0556, aux.loss_ce: 0.0255, aux.acc_seg: 97.4079, loss: 0.0723 2023-02-25 19:26:00,016 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 10:08:57, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9174, aux.loss_ce: 0.0271, aux.acc_seg: 97.2729, loss: 0.0772 2023-02-25 19:26:49,366 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 10:08:07, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0521, decode.acc_seg: 97.8100, aux.loss_ce: 0.0272, aux.acc_seg: 97.2230, loss: 0.0793 2023-02-25 19:27:38,622 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 10:07:16, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9804, aux.loss_ce: 0.0260, aux.acc_seg: 97.3407, loss: 0.0742 2023-02-25 19:28:30,122 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 10:06:27, time: 1.030, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0538, decode.acc_seg: 97.8069, aux.loss_ce: 0.0280, aux.acc_seg: 97.2044, loss: 0.0818 2023-02-25 19:29:19,164 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 10:05:37, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0550, decode.acc_seg: 97.6857, aux.loss_ce: 0.0286, aux.acc_seg: 97.0779, loss: 0.0836 2023-02-25 19:30:08,198 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 10:04:47, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0526, decode.acc_seg: 97.8427, aux.loss_ce: 0.0271, aux.acc_seg: 97.2763, loss: 0.0798 2023-02-25 19:30:57,439 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 10:03:57, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0560, decode.acc_seg: 97.7007, aux.loss_ce: 0.0329, aux.acc_seg: 97.0479, loss: 0.0889 2023-02-25 19:31:46,726 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 10:03:06, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7977, aux.loss_ce: 0.0282, aux.acc_seg: 97.1458, loss: 0.0812 2023-02-25 19:32:35,764 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 10:02:16, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0101, aux.loss_ce: 0.0258, aux.acc_seg: 97.3689, loss: 0.0734 2023-02-25 19:33:25,026 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 10:01:26, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9968, aux.loss_ce: 0.0265, aux.acc_seg: 97.3157, loss: 0.0745 2023-02-25 19:34:16,520 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 10:00:37, time: 1.030, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.8941, aux.loss_ce: 0.0270, aux.acc_seg: 97.2331, loss: 0.0771 2023-02-25 19:35:05,609 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 9:59:47, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.8996, aux.loss_ce: 0.0267, aux.acc_seg: 97.2899, loss: 0.0772 2023-02-25 19:35:54,676 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:35:54,677 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 9:58:56, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8360, aux.loss_ce: 0.0272, aux.acc_seg: 97.2493, loss: 0.0795 2023-02-25 19:36:43,919 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 9:58:06, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0465, aux.loss_ce: 0.0250, aux.acc_seg: 97.4368, loss: 0.0716 2023-02-25 19:37:33,582 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 9:57:16, time: 0.993, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9860, aux.loss_ce: 0.0264, aux.acc_seg: 97.3124, loss: 0.0749 2023-02-25 19:38:22,884 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 9:56:26, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8734, aux.loss_ce: 0.0267, aux.acc_seg: 97.2826, loss: 0.0779 2023-02-25 19:39:12,317 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 9:55:36, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9060, aux.loss_ce: 0.0271, aux.acc_seg: 97.2271, loss: 0.0772 2023-02-25 19:40:03,973 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 9:54:47, time: 1.033, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9211, aux.loss_ce: 0.0255, aux.acc_seg: 97.3871, loss: 0.0744 2023-02-25 19:40:53,140 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 9:53:57, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0525, decode.acc_seg: 97.7817, aux.loss_ce: 0.0275, aux.acc_seg: 97.1761, loss: 0.0800 2023-02-25 19:41:42,307 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 9:53:07, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0115, aux.loss_ce: 0.0261, aux.acc_seg: 97.3421, loss: 0.0736 2023-02-25 19:42:31,611 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 9:52:16, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8447, aux.loss_ce: 0.0265, aux.acc_seg: 97.2916, loss: 0.0779 2023-02-25 19:43:20,753 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 9:51:26, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9211, aux.loss_ce: 0.0274, aux.acc_seg: 97.2109, loss: 0.0773 2023-02-25 19:44:10,033 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 9:50:36, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9209, aux.loss_ce: 0.0269, aux.acc_seg: 97.2654, loss: 0.0766 2023-02-25 19:44:59,277 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 9:49:46, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0524, decode.acc_seg: 97.7857, aux.loss_ce: 0.0273, aux.acc_seg: 97.2006, loss: 0.0796 2023-02-25 19:45:48,474 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 9:48:56, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 98.0093, aux.loss_ce: 0.0257, aux.acc_seg: 97.4190, loss: 0.0739 2023-02-25 19:46:40,231 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 9:48:07, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8583, aux.loss_ce: 0.0276, aux.acc_seg: 97.1471, loss: 0.0783 2023-02-25 19:47:29,464 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 9:47:17, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.9042, aux.loss_ce: 0.0278, aux.acc_seg: 97.1746, loss: 0.0784 2023-02-25 19:48:18,773 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 9:46:26, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9558, aux.loss_ce: 0.0265, aux.acc_seg: 97.2799, loss: 0.0748 2023-02-25 19:49:07,965 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 9:45:36, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0184, aux.loss_ce: 0.0261, aux.acc_seg: 97.3357, loss: 0.0731 2023-02-25 19:49:57,374 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 9:44:46, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9149, aux.loss_ce: 0.0264, aux.acc_seg: 97.3076, loss: 0.0761 2023-02-25 19:50:46,728 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 9:43:56, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9956, aux.loss_ce: 0.0260, aux.acc_seg: 97.3597, loss: 0.0748 2023-02-25 19:51:36,076 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 9:43:06, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9199, aux.loss_ce: 0.0274, aux.acc_seg: 97.2569, loss: 0.0777 2023-02-25 19:52:28,239 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 19:52:28,239 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 9:42:17, time: 1.043, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8632, aux.loss_ce: 0.0273, aux.acc_seg: 97.2462, loss: 0.0787 2023-02-25 19:53:17,510 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 9:41:27, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9537, aux.loss_ce: 0.0263, aux.acc_seg: 97.3329, loss: 0.0755 2023-02-25 19:54:06,768 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 9:40:37, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8715, aux.loss_ce: 0.0277, aux.acc_seg: 97.1643, loss: 0.0784 2023-02-25 19:54:56,114 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 9:39:47, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9821, aux.loss_ce: 0.0260, aux.acc_seg: 97.3388, loss: 0.0741 2023-02-25 19:55:45,963 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 9:38:57, time: 0.997, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0365, aux.loss_ce: 0.0263, aux.acc_seg: 97.3262, loss: 0.0737 2023-02-25 19:56:35,179 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 9:38:07, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9211, aux.loss_ce: 0.0272, aux.acc_seg: 97.2727, loss: 0.0774 2023-02-25 19:57:24,659 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 9:37:17, time: 0.990, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8748, aux.loss_ce: 0.0272, aux.acc_seg: 97.2556, loss: 0.0784 2023-02-25 19:58:13,929 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 9:36:27, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9348, aux.loss_ce: 0.0261, aux.acc_seg: 97.3311, loss: 0.0752 2023-02-25 19:59:05,619 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 9:35:37, time: 1.034, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9471, aux.loss_ce: 0.0257, aux.acc_seg: 97.3561, loss: 0.0746 2023-02-25 19:59:54,841 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 9:34:47, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8266, aux.loss_ce: 0.0260, aux.acc_seg: 97.3292, loss: 0.0777 2023-02-25 20:00:44,018 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 9:33:57, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8780, aux.loss_ce: 0.0259, aux.acc_seg: 97.3708, loss: 0.0769 2023-02-25 20:01:33,306 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 9:33:07, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0535, decode.acc_seg: 97.7901, aux.loss_ce: 0.0277, aux.acc_seg: 97.2062, loss: 0.0811 2023-02-25 20:02:22,589 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 9:32:17, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0528, decode.acc_seg: 97.8276, aux.loss_ce: 0.0275, aux.acc_seg: 97.2299, loss: 0.0803 2023-02-25 20:03:11,627 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 9:31:27, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8531, aux.loss_ce: 0.0261, aux.acc_seg: 97.3487, loss: 0.0776 2023-02-25 20:04:00,859 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 9:30:36, time: 0.985, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9874, aux.loss_ce: 0.0256, aux.acc_seg: 97.4044, loss: 0.0741 2023-02-25 20:04:51,530 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 9:29:47, time: 1.013, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0527, decode.acc_seg: 97.8097, aux.loss_ce: 0.0275, aux.acc_seg: 97.2045, loss: 0.0802 2023-02-25 20:05:40,112 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 9:28:57, time: 0.972, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9020, aux.loss_ce: 0.0258, aux.acc_seg: 97.3691, loss: 0.0759 2023-02-25 20:06:28,965 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 9:28:06, time: 0.977, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.9426, aux.loss_ce: 0.0256, aux.acc_seg: 97.4087, loss: 0.0751 2023-02-25 20:07:18,226 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 9:27:16, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9282, aux.loss_ce: 0.0265, aux.acc_seg: 97.2760, loss: 0.0758 2023-02-25 20:08:07,588 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 9:26:26, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0901, aux.loss_ce: 0.0254, aux.acc_seg: 97.3928, loss: 0.0710 2023-02-25 20:08:56,848 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:08:56,848 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 9:25:36, time: 0.986, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0523, decode.acc_seg: 97.8028, aux.loss_ce: 0.0263, aux.acc_seg: 97.2916, loss: 0.0786 2023-02-25 20:09:46,407 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 9:24:46, time: 0.991, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8642, aux.loss_ce: 0.0268, aux.acc_seg: 97.2960, loss: 0.0780 2023-02-25 20:10:36,502 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 9:23:56, time: 1.002, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.9386, aux.loss_ce: 0.0264, aux.acc_seg: 97.3207, loss: 0.0759 2023-02-25 20:11:28,907 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 9:23:07, time: 1.048, data_time: 0.072, memory: 19374, decode.loss_ce: 0.0533, decode.acc_seg: 97.8010, aux.loss_ce: 0.0278, aux.acc_seg: 97.1977, loss: 0.0811 2023-02-25 20:12:18,270 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 9:22:17, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9155, aux.loss_ce: 0.0250, aux.acc_seg: 97.4299, loss: 0.0744 2023-02-25 20:13:07,475 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 9:21:27, time: 0.984, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0240, aux.loss_ce: 0.0258, aux.acc_seg: 97.3385, loss: 0.0726 2023-02-25 20:13:56,807 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 9:20:37, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8739, aux.loss_ce: 0.0264, aux.acc_seg: 97.3089, loss: 0.0771 2023-02-25 20:14:46,484 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 9:19:47, time: 0.994, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9738, aux.loss_ce: 0.0271, aux.acc_seg: 97.2414, loss: 0.0758 2023-02-25 20:15:36,412 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 9:18:57, time: 0.999, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 98.0361, aux.loss_ce: 0.0261, aux.acc_seg: 97.3691, loss: 0.0739 2023-02-25 20:16:25,711 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 9:18:07, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0225, aux.loss_ce: 0.0260, aux.acc_seg: 97.3455, loss: 0.0729 2023-02-25 20:17:17,286 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 9:17:17, time: 1.032, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8727, aux.loss_ce: 0.0265, aux.acc_seg: 97.3173, loss: 0.0779 2023-02-25 20:18:06,514 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 9:16:27, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9102, aux.loss_ce: 0.0265, aux.acc_seg: 97.2792, loss: 0.0762 2023-02-25 20:18:56,445 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 9:15:37, time: 0.998, data_time: 0.021, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0330, aux.loss_ce: 0.0261, aux.acc_seg: 97.3317, loss: 0.0732 2023-02-25 20:19:45,606 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 9:14:47, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9690, aux.loss_ce: 0.0262, aux.acc_seg: 97.3664, loss: 0.0752 2023-02-25 20:20:34,605 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 9:13:57, time: 0.980, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9559, aux.loss_ce: 0.0256, aux.acc_seg: 97.3920, loss: 0.0744 2023-02-25 20:21:23,917 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 9:13:07, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0051, aux.loss_ce: 0.0257, aux.acc_seg: 97.3738, loss: 0.0733 2023-02-25 20:22:13,289 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 9:12:17, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9503, aux.loss_ce: 0.0261, aux.acc_seg: 97.3369, loss: 0.0754 2023-02-25 20:23:02,419 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 9:11:27, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8322, aux.loss_ce: 0.0269, aux.acc_seg: 97.2564, loss: 0.0788 2023-02-25 20:23:54,582 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 9:10:38, time: 1.043, data_time: 0.068, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9682, aux.loss_ce: 0.0266, aux.acc_seg: 97.2980, loss: 0.0754 2023-02-25 20:24:43,538 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 9:09:47, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8326, aux.loss_ce: 0.0260, aux.acc_seg: 97.3250, loss: 0.0773 2023-02-25 20:25:32,588 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:25:32,588 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 9:08:57, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 97.9931, aux.loss_ce: 0.0254, aux.acc_seg: 97.3680, loss: 0.0729 2023-02-25 20:26:21,847 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 9:08:07, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9820, aux.loss_ce: 0.0275, aux.acc_seg: 97.2518, loss: 0.0760 2023-02-25 20:27:11,967 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 9:07:17, time: 1.003, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9642, aux.loss_ce: 0.0263, aux.acc_seg: 97.3146, loss: 0.0748 2023-02-25 20:28:01,675 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 9:06:27, time: 0.994, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9540, aux.loss_ce: 0.0259, aux.acc_seg: 97.3811, loss: 0.0753 2023-02-25 20:28:51,424 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 9:05:38, time: 0.995, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9519, aux.loss_ce: 0.0275, aux.acc_seg: 97.2333, loss: 0.0768 2023-02-25 20:29:43,418 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 9:04:48, time: 1.040, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9790, aux.loss_ce: 0.0267, aux.acc_seg: 97.2692, loss: 0.0746 2023-02-25 20:30:32,766 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 9:03:58, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9523, aux.loss_ce: 0.0258, aux.acc_seg: 97.4219, loss: 0.0761 2023-02-25 20:31:22,015 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 9:03:08, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9332, aux.loss_ce: 0.0258, aux.acc_seg: 97.3491, loss: 0.0750 2023-02-25 20:32:11,721 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 9:02:18, time: 0.994, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9537, aux.loss_ce: 0.0265, aux.acc_seg: 97.2848, loss: 0.0753 2023-02-25 20:33:01,759 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 9:01:28, time: 1.001, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9434, aux.loss_ce: 0.0272, aux.acc_seg: 97.2152, loss: 0.0763 2023-02-25 20:33:51,688 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 9:00:38, time: 0.999, data_time: 0.020, memory: 19374, decode.loss_ce: 0.0542, decode.acc_seg: 97.7741, aux.loss_ce: 0.0284, aux.acc_seg: 97.1481, loss: 0.0826 2023-02-25 20:34:41,064 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 8:59:48, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9581, aux.loss_ce: 0.0261, aux.acc_seg: 97.3046, loss: 0.0745 2023-02-25 20:35:32,774 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 8:58:59, time: 1.034, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8591, aux.loss_ce: 0.0272, aux.acc_seg: 97.2108, loss: 0.0780 2023-02-25 20:36:22,012 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 8:58:09, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9689, aux.loss_ce: 0.0260, aux.acc_seg: 97.3477, loss: 0.0747 2023-02-25 20:37:12,080 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 8:57:19, time: 1.001, data_time: 0.022, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8233, aux.loss_ce: 0.0270, aux.acc_seg: 97.2118, loss: 0.0785 2023-02-25 20:38:01,764 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 8:56:29, time: 0.994, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9913, aux.loss_ce: 0.0255, aux.acc_seg: 97.3926, loss: 0.0733 2023-02-25 20:38:51,168 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 8:55:39, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0107, aux.loss_ce: 0.0237, aux.acc_seg: 97.5403, loss: 0.0706 2023-02-25 20:39:40,342 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 8:54:49, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9876, aux.loss_ce: 0.0262, aux.acc_seg: 97.3198, loss: 0.0745 2023-02-25 20:40:29,723 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 8:53:59, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9604, aux.loss_ce: 0.0260, aux.acc_seg: 97.3685, loss: 0.0747 2023-02-25 20:41:19,166 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 8:53:09, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0390, aux.loss_ce: 0.0249, aux.acc_seg: 97.4688, loss: 0.0718 2023-02-25 20:42:10,800 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-02-25 20:42:17,947 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:42:17,958 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 8:52:21, time: 1.176, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0453, aux.loss_ce: 0.0258, aux.acc_seg: 97.3603, loss: 0.0723 2023-02-25 20:43:47,718 - mmseg - INFO - per class results: 2023-02-25 20:43:47,720 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.62 | 99.22 | | sidewalk | 88.4 | 94.54 | | building | 93.63 | 97.31 | | wall | 58.73 | 64.97 | | fence | 65.72 | 73.35 | | pole | 69.05 | 76.72 | | traffic light | 76.64 | 88.2 | | traffic sign | 84.03 | 91.34 | | vegetation | 93.25 | 97.02 | | terrain | 67.97 | 75.91 | | sky | 95.39 | 98.65 | | person | 85.98 | 92.95 | | rider | 69.45 | 80.91 | | car | 96.06 | 98.2 | | truck | 84.45 | 87.12 | | bus | 94.95 | 97.01 | | train | 91.07 | 93.22 | | motorcycle | 74.71 | 82.06 | | bicycle | 81.77 | 92.82 | +---------------+-------+-------+ 2023-02-25 20:43:47,720 - mmseg - INFO - Summary: 2023-02-25 20:43:47,720 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 96.79 | 82.63 | 88.5 | +-------+-------+------+ 2023-02-25 20:43:47,723 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_96000.pth was removed 2023-02-25 20:43:54,080 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. 2023-02-25 20:43:54,081 - mmseg - INFO - Best mIoU is 0.8263 at 128000 iter. 2023-02-25 20:43:54,082 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 20:43:54,082 - mmseg - INFO - Iter(val) [125] aAcc: 0.9679, mIoU: 0.8263, mAcc: 0.8850, IoU.road: 0.9862, IoU.sidewalk: 0.8840, IoU.building: 0.9363, IoU.wall: 0.5873, IoU.fence: 0.6572, IoU.pole: 0.6905, IoU.traffic light: 0.7664, IoU.traffic sign: 0.8403, IoU.vegetation: 0.9325, IoU.terrain: 0.6797, IoU.sky: 0.9539, IoU.person: 0.8598, IoU.rider: 0.6945, IoU.car: 0.9606, IoU.truck: 0.8445, IoU.bus: 0.9495, IoU.train: 0.9107, IoU.motorcycle: 0.7471, IoU.bicycle: 0.8177, Acc.road: 0.9922, Acc.sidewalk: 0.9454, Acc.building: 0.9731, Acc.wall: 0.6497, Acc.fence: 0.7335, Acc.pole: 0.7672, Acc.traffic light: 0.8820, Acc.traffic sign: 0.9134, Acc.vegetation: 0.9702, Acc.terrain: 0.7591, Acc.sky: 0.9865, Acc.person: 0.9295, Acc.rider: 0.8091, Acc.car: 0.9820, Acc.truck: 0.8712, Acc.bus: 0.9701, Acc.train: 0.9322, Acc.motorcycle: 0.8206, Acc.bicycle: 0.9282 2023-02-25 20:44:43,501 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 8:51:55, time: 2.911, data_time: 1.930, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9308, aux.loss_ce: 0.0259, aux.acc_seg: 97.3430, loss: 0.0751 2023-02-25 20:45:32,792 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 8:51:05, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9380, aux.loss_ce: 0.0262, aux.acc_seg: 97.3628, loss: 0.0761 2023-02-25 20:46:22,240 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 8:50:15, time: 0.989, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9820, aux.loss_ce: 0.0256, aux.acc_seg: 97.3863, loss: 0.0739 2023-02-25 20:47:12,107 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 8:49:25, time: 0.997, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0515, decode.acc_seg: 97.8448, aux.loss_ce: 0.0268, aux.acc_seg: 97.2655, loss: 0.0783 2023-02-25 20:48:01,381 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 8:48:35, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9843, aux.loss_ce: 0.0256, aux.acc_seg: 97.3856, loss: 0.0741 2023-02-25 20:48:50,560 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 8:47:45, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9464, aux.loss_ce: 0.0263, aux.acc_seg: 97.3345, loss: 0.0755 2023-02-25 20:49:41,977 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 8:46:55, time: 1.028, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9145, aux.loss_ce: 0.0261, aux.acc_seg: 97.3378, loss: 0.0760 2023-02-25 20:50:31,113 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 8:46:05, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8518, aux.loss_ce: 0.0262, aux.acc_seg: 97.3150, loss: 0.0770 2023-02-25 20:51:20,665 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 8:45:15, time: 0.991, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0308, aux.loss_ce: 0.0260, aux.acc_seg: 97.3544, loss: 0.0729 2023-02-25 20:52:09,926 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 8:44:25, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9166, aux.loss_ce: 0.0260, aux.acc_seg: 97.3400, loss: 0.0756 2023-02-25 20:52:59,297 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 8:43:35, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0442, aux.loss_ce: 0.0244, aux.acc_seg: 97.5007, loss: 0.0713 2023-02-25 20:53:48,356 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 8:42:44, time: 0.981, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9337, aux.loss_ce: 0.0264, aux.acc_seg: 97.3182, loss: 0.0755 2023-02-25 20:54:37,486 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 8:41:54, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 98.0014, aux.loss_ce: 0.0259, aux.acc_seg: 97.3836, loss: 0.0745 2023-02-25 20:55:27,330 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 8:41:04, time: 0.997, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8566, aux.loss_ce: 0.0266, aux.acc_seg: 97.2934, loss: 0.0780 2023-02-25 20:56:19,432 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 8:40:15, time: 1.042, data_time: 0.064, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7973, aux.loss_ce: 0.0288, aux.acc_seg: 97.0831, loss: 0.0818 2023-02-25 20:57:08,745 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 8:39:25, time: 0.986, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9104, aux.loss_ce: 0.0264, aux.acc_seg: 97.2935, loss: 0.0766 2023-02-25 20:57:57,927 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 8:38:35, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0518, aux.loss_ce: 0.0258, aux.acc_seg: 97.4029, loss: 0.0730 2023-02-25 20:58:47,137 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 8:37:45, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8979, aux.loss_ce: 0.0269, aux.acc_seg: 97.2662, loss: 0.0772 2023-02-25 20:59:36,301 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 8:36:54, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0127, aux.loss_ce: 0.0259, aux.acc_seg: 97.3673, loss: 0.0732 2023-02-25 21:00:25,550 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:00:25,550 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 8:36:04, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0455, decode.acc_seg: 98.1029, aux.loss_ce: 0.0265, aux.acc_seg: 97.3086, loss: 0.0720 2023-02-25 21:01:14,976 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 8:35:14, time: 0.988, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8813, aux.loss_ce: 0.0265, aux.acc_seg: 97.3044, loss: 0.0771 2023-02-25 21:02:06,688 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 8:34:25, time: 1.035, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9035, aux.loss_ce: 0.0263, aux.acc_seg: 97.2723, loss: 0.0762 2023-02-25 21:02:56,124 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 8:33:35, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.8974, aux.loss_ce: 0.0266, aux.acc_seg: 97.2649, loss: 0.0762 2023-02-25 21:03:45,729 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 8:32:45, time: 0.992, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9525, aux.loss_ce: 0.0259, aux.acc_seg: 97.3327, loss: 0.0744 2023-02-25 21:04:34,970 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 8:31:55, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0071, aux.loss_ce: 0.0254, aux.acc_seg: 97.4206, loss: 0.0732 2023-02-25 21:05:24,395 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 8:31:04, time: 0.988, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 98.0075, aux.loss_ce: 0.0261, aux.acc_seg: 97.3683, loss: 0.0742 2023-02-25 21:06:13,759 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 8:30:14, time: 0.987, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9680, aux.loss_ce: 0.0262, aux.acc_seg: 97.3635, loss: 0.0753 2023-02-25 21:07:02,987 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 8:29:24, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9591, aux.loss_ce: 0.0264, aux.acc_seg: 97.3209, loss: 0.0752 2023-02-25 21:07:52,502 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 8:28:34, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9912, aux.loss_ce: 0.0252, aux.acc_seg: 97.4261, loss: 0.0730 2023-02-25 21:08:44,622 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 8:27:45, time: 1.043, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0237, aux.loss_ce: 0.0255, aux.acc_seg: 97.4046, loss: 0.0728 2023-02-25 21:09:33,620 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 8:26:55, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8307, aux.loss_ce: 0.0270, aux.acc_seg: 97.2720, loss: 0.0792 2023-02-25 21:10:22,817 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 8:26:05, time: 0.984, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9381, aux.loss_ce: 0.0262, aux.acc_seg: 97.2901, loss: 0.0752 2023-02-25 21:11:11,791 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 8:25:14, time: 0.979, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9353, aux.loss_ce: 0.0265, aux.acc_seg: 97.3025, loss: 0.0764 2023-02-25 21:12:00,971 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 8:24:24, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9972, aux.loss_ce: 0.0259, aux.acc_seg: 97.3710, loss: 0.0736 2023-02-25 21:12:50,239 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 8:23:34, time: 0.985, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8976, aux.loss_ce: 0.0259, aux.acc_seg: 97.3694, loss: 0.0763 2023-02-25 21:13:39,334 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 8:22:44, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8333, aux.loss_ce: 0.0268, aux.acc_seg: 97.2809, loss: 0.0787 2023-02-25 21:14:31,062 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 8:21:54, time: 1.034, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8786, aux.loss_ce: 0.0270, aux.acc_seg: 97.2423, loss: 0.0778 2023-02-25 21:15:20,136 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 8:21:04, time: 0.982, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9532, aux.loss_ce: 0.0260, aux.acc_seg: 97.3340, loss: 0.0745 2023-02-25 21:16:09,297 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 8:20:14, time: 0.983, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9578, aux.loss_ce: 0.0261, aux.acc_seg: 97.3493, loss: 0.0751 2023-02-25 21:16:58,517 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:16:58,517 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 8:19:24, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0786, aux.loss_ce: 0.0248, aux.acc_seg: 97.4370, loss: 0.0704 2023-02-25 21:17:47,533 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 8:18:34, time: 0.980, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9626, aux.loss_ce: 0.0266, aux.acc_seg: 97.2734, loss: 0.0750 2023-02-25 21:18:37,022 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 8:17:44, time: 0.990, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9775, aux.loss_ce: 0.0255, aux.acc_seg: 97.4228, loss: 0.0742 2023-02-25 21:19:26,465 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 8:16:54, time: 0.989, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0541, aux.loss_ce: 0.0243, aux.acc_seg: 97.5323, loss: 0.0710 2023-02-25 21:20:15,709 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 8:16:04, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9092, aux.loss_ce: 0.0269, aux.acc_seg: 97.2651, loss: 0.0772 2023-02-25 21:21:07,504 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 8:15:14, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0529, decode.acc_seg: 97.7920, aux.loss_ce: 0.0270, aux.acc_seg: 97.2396, loss: 0.0800 2023-02-25 21:21:57,048 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 8:14:24, time: 0.991, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9179, aux.loss_ce: 0.0267, aux.acc_seg: 97.2902, loss: 0.0765 2023-02-25 21:22:46,152 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 8:13:34, time: 0.982, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8852, aux.loss_ce: 0.0259, aux.acc_seg: 97.3395, loss: 0.0762 2023-02-25 21:23:35,539 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 8:12:44, time: 0.987, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0519, decode.acc_seg: 97.8489, aux.loss_ce: 0.0273, aux.acc_seg: 97.2557, loss: 0.0792 2023-02-25 21:24:24,870 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 8:11:54, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0046, aux.loss_ce: 0.0252, aux.acc_seg: 97.4241, loss: 0.0723 2023-02-25 21:25:14,110 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 8:11:04, time: 0.984, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8938, aux.loss_ce: 0.0271, aux.acc_seg: 97.2481, loss: 0.0780 2023-02-25 21:26:03,422 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 8:10:14, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9543, aux.loss_ce: 0.0261, aux.acc_seg: 97.3189, loss: 0.0747 2023-02-25 21:26:55,124 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 8:09:24, time: 1.034, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.9128, aux.loss_ce: 0.0265, aux.acc_seg: 97.2884, loss: 0.0760 2023-02-25 21:27:44,494 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 8:08:34, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8481, aux.loss_ce: 0.0268, aux.acc_seg: 97.2595, loss: 0.0781 2023-02-25 21:28:33,982 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 8:07:44, time: 0.989, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9599, aux.loss_ce: 0.0251, aux.acc_seg: 97.4104, loss: 0.0736 2023-02-25 21:29:23,465 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 8:06:54, time: 0.990, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8873, aux.loss_ce: 0.0260, aux.acc_seg: 97.3298, loss: 0.0763 2023-02-25 21:30:12,795 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 8:06:04, time: 0.987, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9128, aux.loss_ce: 0.0267, aux.acc_seg: 97.2840, loss: 0.0770 2023-02-25 21:31:02,067 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 8:05:14, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9059, aux.loss_ce: 0.0271, aux.acc_seg: 97.2397, loss: 0.0775 2023-02-25 21:31:51,205 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 8:04:24, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8597, aux.loss_ce: 0.0271, aux.acc_seg: 97.2537, loss: 0.0783 2023-02-25 21:32:43,009 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 8:03:34, time: 1.036, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.8848, aux.loss_ce: 0.0261, aux.acc_seg: 97.3132, loss: 0.0763 2023-02-25 21:33:32,242 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:33:32,242 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 8:02:44, time: 0.985, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0221, aux.loss_ce: 0.0249, aux.acc_seg: 97.4480, loss: 0.0722 2023-02-25 21:34:21,522 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 8:01:54, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9439, aux.loss_ce: 0.0252, aux.acc_seg: 97.4565, loss: 0.0749 2023-02-25 21:35:10,828 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 8:01:04, time: 0.986, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0167, aux.loss_ce: 0.0256, aux.acc_seg: 97.3960, loss: 0.0731 2023-02-25 21:35:59,963 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 8:00:14, time: 0.983, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0513, decode.acc_seg: 97.8593, aux.loss_ce: 0.0264, aux.acc_seg: 97.3006, loss: 0.0777 2023-02-25 21:36:49,001 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 7:59:24, time: 0.981, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0399, aux.loss_ce: 0.0263, aux.acc_seg: 97.3530, loss: 0.0738 2023-02-25 21:37:37,473 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 7:58:33, time: 0.969, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0277, aux.loss_ce: 0.0253, aux.acc_seg: 97.3923, loss: 0.0718 2023-02-25 21:38:25,310 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 7:57:43, time: 0.957, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9336, aux.loss_ce: 0.0270, aux.acc_seg: 97.2362, loss: 0.0761 2023-02-25 21:39:15,520 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 7:56:53, time: 1.004, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 97.9801, aux.loss_ce: 0.0246, aux.acc_seg: 97.4511, loss: 0.0720 2023-02-25 21:40:02,835 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 7:56:03, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9913, aux.loss_ce: 0.0260, aux.acc_seg: 97.3389, loss: 0.0738 2023-02-25 21:40:50,202 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 7:55:12, time: 0.947, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9519, aux.loss_ce: 0.0258, aux.acc_seg: 97.3678, loss: 0.0750 2023-02-25 21:41:37,516 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 7:54:22, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8962, aux.loss_ce: 0.0270, aux.acc_seg: 97.2973, loss: 0.0774 2023-02-25 21:42:25,109 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 7:53:31, time: 0.952, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0531, decode.acc_seg: 97.7791, aux.loss_ce: 0.0271, aux.acc_seg: 97.2210, loss: 0.0801 2023-02-25 21:43:12,374 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 7:52:41, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9277, aux.loss_ce: 0.0257, aux.acc_seg: 97.3842, loss: 0.0753 2023-02-25 21:43:59,649 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 7:51:50, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9487, aux.loss_ce: 0.0261, aux.acc_seg: 97.3213, loss: 0.0748 2023-02-25 21:44:49,791 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 7:51:00, time: 1.003, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9462, aux.loss_ce: 0.0273, aux.acc_seg: 97.2807, loss: 0.0759 2023-02-25 21:45:37,682 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 7:50:10, time: 0.958, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.9230, aux.loss_ce: 0.0265, aux.acc_seg: 97.3058, loss: 0.0765 2023-02-25 21:46:25,399 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 7:49:20, time: 0.954, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8670, aux.loss_ce: 0.0276, aux.acc_seg: 97.2051, loss: 0.0785 2023-02-25 21:47:12,682 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 7:48:29, time: 0.946, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.8963, aux.loss_ce: 0.0257, aux.acc_seg: 97.3778, loss: 0.0757 2023-02-25 21:48:00,127 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 7:47:39, time: 0.949, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8721, aux.loss_ce: 0.0263, aux.acc_seg: 97.3010, loss: 0.0766 2023-02-25 21:48:47,422 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 7:46:48, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 98.0023, aux.loss_ce: 0.0258, aux.acc_seg: 97.3728, loss: 0.0736 2023-02-25 21:49:34,582 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 21:49:34,582 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 7:45:58, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0385, aux.loss_ce: 0.0256, aux.acc_seg: 97.3859, loss: 0.0727 2023-02-25 21:50:21,813 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 7:45:07, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0732, aux.loss_ce: 0.0242, aux.acc_seg: 97.5299, loss: 0.0703 2023-02-25 21:51:11,967 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 7:44:17, time: 1.003, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9952, aux.loss_ce: 0.0254, aux.acc_seg: 97.3760, loss: 0.0735 2023-02-25 21:51:59,396 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 7:43:27, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0530, decode.acc_seg: 97.8175, aux.loss_ce: 0.0268, aux.acc_seg: 97.2990, loss: 0.0798 2023-02-25 21:52:46,630 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 7:42:36, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9243, aux.loss_ce: 0.0258, aux.acc_seg: 97.3797, loss: 0.0760 2023-02-25 21:53:33,839 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 7:41:46, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0641, aux.loss_ce: 0.0256, aux.acc_seg: 97.3914, loss: 0.0717 2023-02-25 21:54:21,020 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 7:40:55, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9919, aux.loss_ce: 0.0268, aux.acc_seg: 97.2676, loss: 0.0747 2023-02-25 21:55:08,225 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 7:40:05, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8553, aux.loss_ce: 0.0265, aux.acc_seg: 97.3220, loss: 0.0777 2023-02-25 21:55:55,453 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 7:39:14, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9588, aux.loss_ce: 0.0259, aux.acc_seg: 97.3842, loss: 0.0748 2023-02-25 21:56:45,240 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 7:38:24, time: 0.996, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9064, aux.loss_ce: 0.0260, aux.acc_seg: 97.3513, loss: 0.0764 2023-02-25 21:57:32,351 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 7:37:34, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9393, aux.loss_ce: 0.0253, aux.acc_seg: 97.4076, loss: 0.0742 2023-02-25 21:58:19,471 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 7:36:43, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0838, aux.loss_ce: 0.0249, aux.acc_seg: 97.4672, loss: 0.0707 2023-02-25 21:59:06,674 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 7:35:53, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9615, aux.loss_ce: 0.0263, aux.acc_seg: 97.3153, loss: 0.0754 2023-02-25 21:59:54,558 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 7:35:03, time: 0.958, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9256, aux.loss_ce: 0.0261, aux.acc_seg: 97.3444, loss: 0.0757 2023-02-25 22:00:42,284 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 7:34:12, time: 0.954, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0516, decode.acc_seg: 97.8561, aux.loss_ce: 0.0265, aux.acc_seg: 97.3146, loss: 0.0781 2023-02-25 22:01:29,467 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 7:33:22, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 97.9977, aux.loss_ce: 0.0250, aux.acc_seg: 97.4204, loss: 0.0720 2023-02-25 22:02:16,690 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 7:32:31, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9775, aux.loss_ce: 0.0262, aux.acc_seg: 97.3290, loss: 0.0743 2023-02-25 22:03:07,533 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 7:31:42, time: 1.017, data_time: 0.067, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9373, aux.loss_ce: 0.0264, aux.acc_seg: 97.3083, loss: 0.0754 2023-02-25 22:03:54,744 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 7:30:51, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0520, decode.acc_seg: 97.8352, aux.loss_ce: 0.0274, aux.acc_seg: 97.2104, loss: 0.0794 2023-02-25 22:04:42,191 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 7:30:01, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0379, aux.loss_ce: 0.0263, aux.acc_seg: 97.3333, loss: 0.0737 2023-02-25 22:05:29,423 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:05:29,423 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 7:29:10, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9670, aux.loss_ce: 0.0252, aux.acc_seg: 97.4512, loss: 0.0740 2023-02-25 22:06:16,612 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 7:28:20, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9642, aux.loss_ce: 0.0260, aux.acc_seg: 97.3314, loss: 0.0744 2023-02-25 22:07:03,785 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 7:27:29, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0495, aux.loss_ce: 0.0248, aux.acc_seg: 97.4640, loss: 0.0713 2023-02-25 22:07:51,052 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 7:26:39, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9602, aux.loss_ce: 0.0260, aux.acc_seg: 97.3691, loss: 0.0749 2023-02-25 22:08:41,222 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 7:25:49, time: 1.003, data_time: 0.067, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.8853, aux.loss_ce: 0.0261, aux.acc_seg: 97.3108, loss: 0.0763 2023-02-25 22:09:28,421 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 7:24:59, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9181, aux.loss_ce: 0.0256, aux.acc_seg: 97.4128, loss: 0.0753 2023-02-25 22:10:15,898 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 7:24:08, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9772, aux.loss_ce: 0.0250, aux.acc_seg: 97.4154, loss: 0.0727 2023-02-25 22:11:03,292 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 7:23:18, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9803, aux.loss_ce: 0.0259, aux.acc_seg: 97.3708, loss: 0.0743 2023-02-25 22:11:50,871 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 7:22:27, time: 0.951, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0161, aux.loss_ce: 0.0252, aux.acc_seg: 97.4345, loss: 0.0727 2023-02-25 22:12:38,347 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 7:21:37, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0325, aux.loss_ce: 0.0255, aux.acc_seg: 97.3564, loss: 0.0721 2023-02-25 22:13:25,690 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 7:20:47, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0653, aux.loss_ce: 0.0259, aux.acc_seg: 97.3495, loss: 0.0717 2023-02-25 22:14:15,766 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 7:19:57, time: 1.002, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0785, aux.loss_ce: 0.0256, aux.acc_seg: 97.4081, loss: 0.0716 2023-02-25 22:15:02,928 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 7:19:06, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9815, aux.loss_ce: 0.0262, aux.acc_seg: 97.3360, loss: 0.0745 2023-02-25 22:15:50,795 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 7:18:16, time: 0.957, data_time: 0.016, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8316, aux.loss_ce: 0.0272, aux.acc_seg: 97.1796, loss: 0.0783 2023-02-25 22:16:38,365 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 7:17:26, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9444, aux.loss_ce: 0.0253, aux.acc_seg: 97.4173, loss: 0.0743 2023-02-25 22:17:25,954 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 7:16:35, time: 0.952, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0649, aux.loss_ce: 0.0249, aux.acc_seg: 97.4527, loss: 0.0710 2023-02-25 22:18:13,540 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 7:15:45, time: 0.952, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0223, aux.loss_ce: 0.0254, aux.acc_seg: 97.4535, loss: 0.0731 2023-02-25 22:19:00,904 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 7:14:55, time: 0.947, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8992, aux.loss_ce: 0.0270, aux.acc_seg: 97.2530, loss: 0.0773 2023-02-25 22:19:48,485 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 7:14:04, time: 0.951, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0291, aux.loss_ce: 0.0255, aux.acc_seg: 97.3808, loss: 0.0723 2023-02-25 22:20:38,400 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 7:13:14, time: 0.999, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9098, aux.loss_ce: 0.0256, aux.acc_seg: 97.3870, loss: 0.0752 2023-02-25 22:21:25,912 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:21:25,912 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 7:12:24, time: 0.950, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9443, aux.loss_ce: 0.0253, aux.acc_seg: 97.3988, loss: 0.0744 2023-02-25 22:22:13,334 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 7:11:34, time: 0.949, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9960, aux.loss_ce: 0.0252, aux.acc_seg: 97.4239, loss: 0.0731 2023-02-25 22:23:01,039 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 7:10:43, time: 0.954, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.1148, aux.loss_ce: 0.0248, aux.acc_seg: 97.4651, loss: 0.0698 2023-02-25 22:23:48,477 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 7:09:53, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9179, aux.loss_ce: 0.0273, aux.acc_seg: 97.2283, loss: 0.0770 2023-02-25 22:24:35,918 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 7:09:03, time: 0.949, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9224, aux.loss_ce: 0.0262, aux.acc_seg: 97.3302, loss: 0.0758 2023-02-25 22:25:23,158 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 7:08:12, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9053, aux.loss_ce: 0.0264, aux.acc_seg: 97.3159, loss: 0.0765 2023-02-25 22:26:13,487 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 7:07:22, time: 1.007, data_time: 0.066, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9351, aux.loss_ce: 0.0269, aux.acc_seg: 97.2509, loss: 0.0763 2023-02-25 22:27:00,614 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 7:06:32, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9959, aux.loss_ce: 0.0248, aux.acc_seg: 97.4465, loss: 0.0726 2023-02-25 22:27:47,803 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 7:05:42, time: 0.944, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9566, aux.loss_ce: 0.0254, aux.acc_seg: 97.3872, loss: 0.0739 2023-02-25 22:28:35,224 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 7:04:51, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0313, aux.loss_ce: 0.0244, aux.acc_seg: 97.5134, loss: 0.0716 2023-02-25 22:29:22,495 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 7:04:01, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9702, aux.loss_ce: 0.0264, aux.acc_seg: 97.3313, loss: 0.0751 2023-02-25 22:30:10,110 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 7:03:11, time: 0.953, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9252, aux.loss_ce: 0.0263, aux.acc_seg: 97.3311, loss: 0.0761 2023-02-25 22:30:57,282 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 7:02:20, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9822, aux.loss_ce: 0.0273, aux.acc_seg: 97.2709, loss: 0.0755 2023-02-25 22:31:44,513 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 7:01:30, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.9290, aux.loss_ce: 0.0262, aux.acc_seg: 97.3250, loss: 0.0757 2023-02-25 22:32:34,229 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 7:00:40, time: 0.995, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9550, aux.loss_ce: 0.0260, aux.acc_seg: 97.3216, loss: 0.0745 2023-02-25 22:33:21,419 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 6:59:49, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8253, aux.loss_ce: 0.0272, aux.acc_seg: 97.2205, loss: 0.0794 2023-02-25 22:34:08,603 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 6:58:59, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9553, aux.loss_ce: 0.0250, aux.acc_seg: 97.4125, loss: 0.0732 2023-02-25 22:34:55,665 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 6:58:09, time: 0.941, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0459, aux.loss_ce: 0.0243, aux.acc_seg: 97.5151, loss: 0.0713 2023-02-25 22:35:42,735 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 6:57:18, time: 0.941, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9478, aux.loss_ce: 0.0261, aux.acc_seg: 97.3497, loss: 0.0753 2023-02-25 22:36:29,807 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 6:56:28, time: 0.941, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0395, aux.loss_ce: 0.0250, aux.acc_seg: 97.4693, loss: 0.0723 2023-02-25 22:37:17,107 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:37:17,108 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 6:55:38, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9850, aux.loss_ce: 0.0254, aux.acc_seg: 97.4227, loss: 0.0736 2023-02-25 22:38:07,334 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 6:54:48, time: 1.004, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9999, aux.loss_ce: 0.0259, aux.acc_seg: 97.3561, loss: 0.0736 2023-02-25 22:38:54,859 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 6:53:57, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 97.9738, aux.loss_ce: 0.0258, aux.acc_seg: 97.3397, loss: 0.0733 2023-02-25 22:39:42,500 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 6:53:07, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8705, aux.loss_ce: 0.0261, aux.acc_seg: 97.3125, loss: 0.0769 2023-02-25 22:40:30,067 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 6:52:17, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9721, aux.loss_ce: 0.0264, aux.acc_seg: 97.2999, loss: 0.0748 2023-02-25 22:41:17,379 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 6:51:26, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0325, aux.loss_ce: 0.0251, aux.acc_seg: 97.4374, loss: 0.0722 2023-02-25 22:42:04,557 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 6:50:36, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0432, aux.loss_ce: 0.0253, aux.acc_seg: 97.4099, loss: 0.0719 2023-02-25 22:42:52,032 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 6:49:46, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.9082, aux.loss_ce: 0.0256, aux.acc_seg: 97.4236, loss: 0.0762 2023-02-25 22:43:39,398 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 6:48:55, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9952, aux.loss_ce: 0.0264, aux.acc_seg: 97.3385, loss: 0.0748 2023-02-25 22:44:28,909 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 6:48:06, time: 0.990, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0126, aux.loss_ce: 0.0258, aux.acc_seg: 97.3743, loss: 0.0733 2023-02-25 22:45:16,138 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 6:47:15, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9420, aux.loss_ce: 0.0251, aux.acc_seg: 97.4390, loss: 0.0743 2023-02-25 22:46:03,796 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 6:46:25, time: 0.953, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0140, aux.loss_ce: 0.0259, aux.acc_seg: 97.3438, loss: 0.0734 2023-02-25 22:46:51,107 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 6:45:35, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 98.0011, aux.loss_ce: 0.0260, aux.acc_seg: 97.3555, loss: 0.0741 2023-02-25 22:47:38,335 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 6:44:44, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0583, aux.loss_ce: 0.0248, aux.acc_seg: 97.4629, loss: 0.0710 2023-02-25 22:48:25,805 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 6:43:54, time: 0.949, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0577, aux.loss_ce: 0.0269, aux.acc_seg: 97.3985, loss: 0.0732 2023-02-25 22:49:13,034 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 6:43:04, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0386, aux.loss_ce: 0.0261, aux.acc_seg: 97.3886, loss: 0.0733 2023-02-25 22:50:02,852 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 6:42:14, time: 0.996, data_time: 0.061, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0755, aux.loss_ce: 0.0251, aux.acc_seg: 97.4225, loss: 0.0710 2023-02-25 22:50:50,334 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 6:41:23, time: 0.950, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9907, aux.loss_ce: 0.0253, aux.acc_seg: 97.4148, loss: 0.0732 2023-02-25 22:51:37,446 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 6:40:33, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9513, aux.loss_ce: 0.0260, aux.acc_seg: 97.3613, loss: 0.0750 2023-02-25 22:52:24,775 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 6:39:43, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0155, aux.loss_ce: 0.0255, aux.acc_seg: 97.3692, loss: 0.0727 2023-02-25 22:53:12,017 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 22:53:12,017 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 6:38:52, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8933, aux.loss_ce: 0.0260, aux.acc_seg: 97.3506, loss: 0.0764 2023-02-25 22:53:59,281 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 6:38:02, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9106, aux.loss_ce: 0.0266, aux.acc_seg: 97.2765, loss: 0.0763 2023-02-25 22:54:46,567 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 6:37:12, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0160, aux.loss_ce: 0.0251, aux.acc_seg: 97.4135, loss: 0.0723 2023-02-25 22:55:33,792 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 6:36:22, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9862, aux.loss_ce: 0.0254, aux.acc_seg: 97.4216, loss: 0.0731 2023-02-25 22:56:23,603 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 6:35:32, time: 0.996, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9355, aux.loss_ce: 0.0257, aux.acc_seg: 97.3294, loss: 0.0743 2023-02-25 22:57:11,252 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 6:34:41, time: 0.953, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9935, aux.loss_ce: 0.0253, aux.acc_seg: 97.4134, loss: 0.0733 2023-02-25 22:57:58,386 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 6:33:51, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0459, decode.acc_seg: 98.0588, aux.loss_ce: 0.0250, aux.acc_seg: 97.4087, loss: 0.0709 2023-02-25 22:58:46,049 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 6:33:01, time: 0.953, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8156, aux.loss_ce: 0.0265, aux.acc_seg: 97.2985, loss: 0.0786 2023-02-25 22:59:33,895 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 6:32:11, time: 0.957, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9348, aux.loss_ce: 0.0254, aux.acc_seg: 97.3914, loss: 0.0744 2023-02-25 23:00:21,462 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 6:31:20, time: 0.951, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.9164, aux.loss_ce: 0.0259, aux.acc_seg: 97.3899, loss: 0.0764 2023-02-25 23:01:08,841 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 6:30:30, time: 0.948, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9526, aux.loss_ce: 0.0254, aux.acc_seg: 97.4077, loss: 0.0740 2023-02-25 23:01:58,968 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 6:29:40, time: 1.002, data_time: 0.059, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0636, aux.loss_ce: 0.0257, aux.acc_seg: 97.3985, loss: 0.0723 2023-02-25 23:02:46,387 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 6:28:50, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0454, decode.acc_seg: 98.1063, aux.loss_ce: 0.0257, aux.acc_seg: 97.3640, loss: 0.0711 2023-02-25 23:03:33,932 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 6:28:00, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0543, aux.loss_ce: 0.0243, aux.acc_seg: 97.5250, loss: 0.0711 2023-02-25 23:04:21,599 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 6:27:10, time: 0.954, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8883, aux.loss_ce: 0.0269, aux.acc_seg: 97.2463, loss: 0.0772 2023-02-25 23:05:08,761 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 6:26:19, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.8680, aux.loss_ce: 0.0262, aux.acc_seg: 97.2625, loss: 0.0761 2023-02-25 23:05:55,977 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 6:25:29, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9286, aux.loss_ce: 0.0257, aux.acc_seg: 97.3363, loss: 0.0744 2023-02-25 23:06:43,164 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 6:24:39, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8767, aux.loss_ce: 0.0270, aux.acc_seg: 97.2548, loss: 0.0779 2023-02-25 23:07:33,222 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 6:23:49, time: 1.001, data_time: 0.065, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9416, aux.loss_ce: 0.0257, aux.acc_seg: 97.4108, loss: 0.0753 2023-02-25 23:08:20,318 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 6:22:59, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9576, aux.loss_ce: 0.0262, aux.acc_seg: 97.3039, loss: 0.0748 2023-02-25 23:09:07,614 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:09:07,614 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 6:22:08, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9724, aux.loss_ce: 0.0250, aux.acc_seg: 97.4393, loss: 0.0735 2023-02-25 23:09:54,819 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 6:21:18, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8679, aux.loss_ce: 0.0257, aux.acc_seg: 97.3929, loss: 0.0769 2023-02-25 23:10:42,224 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 6:20:28, time: 0.948, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0522, decode.acc_seg: 97.8324, aux.loss_ce: 0.0267, aux.acc_seg: 97.2916, loss: 0.0788 2023-02-25 23:11:29,512 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 6:19:37, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0653, aux.loss_ce: 0.0248, aux.acc_seg: 97.4605, loss: 0.0709 2023-02-25 23:12:16,632 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 6:18:47, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0517, decode.acc_seg: 97.8413, aux.loss_ce: 0.0279, aux.acc_seg: 97.1568, loss: 0.0796 2023-02-25 23:13:03,687 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 6:17:57, time: 0.941, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9646, aux.loss_ce: 0.0259, aux.acc_seg: 97.3554, loss: 0.0744 2023-02-25 23:13:53,417 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 6:17:07, time: 0.994, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9162, aux.loss_ce: 0.0257, aux.acc_seg: 97.3845, loss: 0.0755 2023-02-25 23:14:40,983 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 6:16:17, time: 0.951, data_time: 0.015, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0158, aux.loss_ce: 0.0258, aux.acc_seg: 97.3682, loss: 0.0726 2023-02-25 23:15:28,968 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 6:15:27, time: 0.960, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9944, aux.loss_ce: 0.0257, aux.acc_seg: 97.3807, loss: 0.0737 2023-02-25 23:16:16,263 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 6:14:36, time: 0.946, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9918, aux.loss_ce: 0.0263, aux.acc_seg: 97.3325, loss: 0.0746 2023-02-25 23:17:03,505 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 6:13:46, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0471, aux.loss_ce: 0.0255, aux.acc_seg: 97.3805, loss: 0.0722 2023-02-25 23:17:51,349 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 6:12:56, time: 0.957, data_time: 0.019, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9668, aux.loss_ce: 0.0252, aux.acc_seg: 97.3792, loss: 0.0731 2023-02-25 23:18:39,207 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 6:12:06, time: 0.957, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8899, aux.loss_ce: 0.0259, aux.acc_seg: 97.3759, loss: 0.0769 2023-02-25 23:19:29,228 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 6:11:16, time: 1.000, data_time: 0.060, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0533, aux.loss_ce: 0.0259, aux.acc_seg: 97.3521, loss: 0.0722 2023-02-25 23:20:16,705 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 6:10:26, time: 0.950, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9810, aux.loss_ce: 0.0267, aux.acc_seg: 97.2700, loss: 0.0746 2023-02-25 23:21:03,872 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 6:09:36, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9846, aux.loss_ce: 0.0254, aux.acc_seg: 97.4050, loss: 0.0737 2023-02-25 23:21:51,438 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 6:08:45, time: 0.951, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0513, aux.loss_ce: 0.0248, aux.acc_seg: 97.4550, loss: 0.0713 2023-02-25 23:22:38,652 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 6:07:55, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 97.9914, aux.loss_ce: 0.0256, aux.acc_seg: 97.3593, loss: 0.0729 2023-02-25 23:23:26,607 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 6:07:05, time: 0.959, data_time: 0.014, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9905, aux.loss_ce: 0.0250, aux.acc_seg: 97.4438, loss: 0.0731 2023-02-25 23:24:13,788 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 6:06:15, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0144, aux.loss_ce: 0.0249, aux.acc_seg: 97.4298, loss: 0.0716 2023-02-25 23:25:01,281 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:25:01,281 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 6:05:24, time: 0.950, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8604, aux.loss_ce: 0.0262, aux.acc_seg: 97.3154, loss: 0.0768 2023-02-25 23:25:50,716 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 6:04:35, time: 0.989, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0524, aux.loss_ce: 0.0255, aux.acc_seg: 97.4129, loss: 0.0720 2023-02-25 23:26:37,832 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 6:03:44, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9215, aux.loss_ce: 0.0268, aux.acc_seg: 97.2783, loss: 0.0762 2023-02-25 23:27:25,005 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 6:02:54, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9531, aux.loss_ce: 0.0256, aux.acc_seg: 97.3760, loss: 0.0741 2023-02-25 23:28:12,149 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 6:02:04, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9075, aux.loss_ce: 0.0259, aux.acc_seg: 97.3262, loss: 0.0757 2023-02-25 23:28:59,251 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 6:01:14, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0579, aux.loss_ce: 0.0247, aux.acc_seg: 97.4750, loss: 0.0709 2023-02-25 23:29:46,402 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 6:00:23, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9653, aux.loss_ce: 0.0257, aux.acc_seg: 97.3755, loss: 0.0740 2023-02-25 23:30:33,736 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 5:59:33, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9357, aux.loss_ce: 0.0257, aux.acc_seg: 97.3957, loss: 0.0755 2023-02-25 23:31:23,644 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 5:58:43, time: 0.998, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9299, aux.loss_ce: 0.0251, aux.acc_seg: 97.3962, loss: 0.0741 2023-02-25 23:32:11,353 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 5:57:53, time: 0.954, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9550, aux.loss_ce: 0.0259, aux.acc_seg: 97.3389, loss: 0.0748 2023-02-25 23:32:58,547 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 5:57:03, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9802, aux.loss_ce: 0.0257, aux.acc_seg: 97.3576, loss: 0.0736 2023-02-25 23:33:45,736 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 5:56:13, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 98.0111, aux.loss_ce: 0.0255, aux.acc_seg: 97.3733, loss: 0.0731 2023-02-25 23:34:33,165 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 5:55:22, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9378, aux.loss_ce: 0.0264, aux.acc_seg: 97.2964, loss: 0.0751 2023-02-25 23:35:20,374 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 5:54:32, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 98.0005, aux.loss_ce: 0.0257, aux.acc_seg: 97.3562, loss: 0.0734 2023-02-25 23:36:07,557 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 5:53:42, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 98.0043, aux.loss_ce: 0.0257, aux.acc_seg: 97.4053, loss: 0.0738 2023-02-25 23:36:54,771 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 5:52:52, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9528, aux.loss_ce: 0.0256, aux.acc_seg: 97.3638, loss: 0.0742 2023-02-25 23:37:44,925 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 5:52:02, time: 1.003, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0775, aux.loss_ce: 0.0259, aux.acc_seg: 97.3805, loss: 0.0717 2023-02-25 23:38:32,204 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 5:51:12, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0509, decode.acc_seg: 97.8897, aux.loss_ce: 0.0271, aux.acc_seg: 97.2424, loss: 0.0780 2023-02-25 23:39:19,383 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 5:50:22, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9477, aux.loss_ce: 0.0257, aux.acc_seg: 97.3945, loss: 0.0747 2023-02-25 23:40:06,923 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 5:49:31, time: 0.951, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9567, aux.loss_ce: 0.0254, aux.acc_seg: 97.4146, loss: 0.0745 2023-02-25 23:40:54,122 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:40:54,122 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 5:48:41, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0453, aux.loss_ce: 0.0253, aux.acc_seg: 97.4226, loss: 0.0720 2023-02-25 23:41:41,986 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 5:47:51, time: 0.957, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.8899, aux.loss_ce: 0.0257, aux.acc_seg: 97.3517, loss: 0.0756 2023-02-25 23:42:29,901 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 5:47:01, time: 0.958, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9573, aux.loss_ce: 0.0252, aux.acc_seg: 97.4212, loss: 0.0741 2023-02-25 23:43:20,845 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 5:46:11, time: 1.019, data_time: 0.076, memory: 19374, decode.loss_ce: 0.0442, decode.acc_seg: 98.1422, aux.loss_ce: 0.0248, aux.acc_seg: 97.4825, loss: 0.0689 2023-02-25 23:44:08,042 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 5:45:21, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9746, aux.loss_ce: 0.0249, aux.acc_seg: 97.4697, loss: 0.0734 2023-02-25 23:44:55,261 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 5:44:31, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0037, aux.loss_ce: 0.0259, aux.acc_seg: 97.3229, loss: 0.0732 2023-02-25 23:45:42,433 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 5:43:41, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0447, decode.acc_seg: 98.1447, aux.loss_ce: 0.0250, aux.acc_seg: 97.4641, loss: 0.0697 2023-02-25 23:46:29,741 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 5:42:51, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0554, aux.loss_ce: 0.0256, aux.acc_seg: 97.4302, loss: 0.0726 2023-02-25 23:47:17,031 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 5:42:00, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9919, aux.loss_ce: 0.0251, aux.acc_seg: 97.4521, loss: 0.0732 2023-02-25 23:48:04,274 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 5:41:10, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8626, aux.loss_ce: 0.0260, aux.acc_seg: 97.3414, loss: 0.0768 2023-02-25 23:48:51,544 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 5:40:20, time: 0.945, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0302, aux.loss_ce: 0.0245, aux.acc_seg: 97.4954, loss: 0.0715 2023-02-25 23:49:41,109 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 5:39:30, time: 0.991, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9827, aux.loss_ce: 0.0254, aux.acc_seg: 97.4185, loss: 0.0735 2023-02-25 23:50:28,491 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 5:38:40, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9937, aux.loss_ce: 0.0256, aux.acc_seg: 97.3787, loss: 0.0737 2023-02-25 23:51:16,349 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 5:37:50, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9594, aux.loss_ce: 0.0252, aux.acc_seg: 97.4324, loss: 0.0739 2023-02-25 23:52:04,251 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 5:37:00, time: 0.958, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0039, aux.loss_ce: 0.0256, aux.acc_seg: 97.3482, loss: 0.0722 2023-02-25 23:52:52,525 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 5:36:10, time: 0.966, data_time: 0.017, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0414, aux.loss_ce: 0.0247, aux.acc_seg: 97.4774, loss: 0.0716 2023-02-25 23:53:39,673 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 5:35:20, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9654, aux.loss_ce: 0.0258, aux.acc_seg: 97.3656, loss: 0.0743 2023-02-25 23:54:26,975 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 5:34:30, time: 0.946, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9987, aux.loss_ce: 0.0253, aux.acc_seg: 97.4112, loss: 0.0730 2023-02-25 23:55:16,887 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 5:33:40, time: 0.998, data_time: 0.063, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9633, aux.loss_ce: 0.0256, aux.acc_seg: 97.3871, loss: 0.0745 2023-02-25 23:56:04,139 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 5:32:50, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9788, aux.loss_ce: 0.0259, aux.acc_seg: 97.3468, loss: 0.0740 2023-02-25 23:56:51,631 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-25 23:56:51,632 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 5:31:59, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 98.0032, aux.loss_ce: 0.0256, aux.acc_seg: 97.4014, loss: 0.0736 2023-02-25 23:57:39,113 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 5:31:09, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9565, aux.loss_ce: 0.0257, aux.acc_seg: 97.3325, loss: 0.0741 2023-02-25 23:58:26,257 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 5:30:19, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0188, aux.loss_ce: 0.0253, aux.acc_seg: 97.4065, loss: 0.0723 2023-02-25 23:59:13,406 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 5:29:29, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9607, aux.loss_ce: 0.0257, aux.acc_seg: 97.3793, loss: 0.0744 2023-02-26 00:00:00,557 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 5:28:39, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9423, aux.loss_ce: 0.0258, aux.acc_seg: 97.3523, loss: 0.0749 2023-02-26 00:00:50,941 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 5:27:49, time: 1.008, data_time: 0.062, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9617, aux.loss_ce: 0.0259, aux.acc_seg: 97.3650, loss: 0.0745 2023-02-26 00:01:38,192 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 5:26:59, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8564, aux.loss_ce: 0.0265, aux.acc_seg: 97.2826, loss: 0.0773 2023-02-26 00:02:25,811 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 5:26:09, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8591, aux.loss_ce: 0.0272, aux.acc_seg: 97.2265, loss: 0.0783 2023-02-26 00:03:13,230 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 5:25:19, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0169, aux.loss_ce: 0.0248, aux.acc_seg: 97.4274, loss: 0.0714 2023-02-26 00:04:00,661 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 5:24:29, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0095, aux.loss_ce: 0.0244, aux.acc_seg: 97.4955, loss: 0.0718 2023-02-26 00:04:47,942 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 5:23:38, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8768, aux.loss_ce: 0.0261, aux.acc_seg: 97.3767, loss: 0.0773 2023-02-26 00:05:35,425 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 5:22:48, time: 0.949, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.9026, aux.loss_ce: 0.0263, aux.acc_seg: 97.3415, loss: 0.0766 2023-02-26 00:06:23,023 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 5:21:58, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9388, aux.loss_ce: 0.0257, aux.acc_seg: 97.3649, loss: 0.0742 2023-02-26 00:07:12,728 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 5:21:08, time: 0.994, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9810, aux.loss_ce: 0.0256, aux.acc_seg: 97.4043, loss: 0.0743 2023-02-26 00:08:00,001 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 5:20:18, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9527, aux.loss_ce: 0.0254, aux.acc_seg: 97.3826, loss: 0.0738 2023-02-26 00:08:47,754 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 5:19:28, time: 0.955, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9733, aux.loss_ce: 0.0261, aux.acc_seg: 97.3308, loss: 0.0744 2023-02-26 00:09:34,941 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 5:18:38, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0293, aux.loss_ce: 0.0252, aux.acc_seg: 97.4429, loss: 0.0727 2023-02-26 00:10:22,076 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 5:17:48, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.9045, aux.loss_ce: 0.0254, aux.acc_seg: 97.4048, loss: 0.0754 2023-02-26 00:11:09,367 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 5:16:58, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 97.9964, aux.loss_ce: 0.0253, aux.acc_seg: 97.3893, loss: 0.0728 2023-02-26 00:11:56,943 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 5:16:08, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9901, aux.loss_ce: 0.0269, aux.acc_seg: 97.2478, loss: 0.0745 2023-02-26 00:12:47,082 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 00:12:47,083 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 5:15:18, time: 1.003, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9542, aux.loss_ce: 0.0247, aux.acc_seg: 97.4630, loss: 0.0730 2023-02-26 00:13:34,298 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 5:14:28, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9637, aux.loss_ce: 0.0258, aux.acc_seg: 97.3522, loss: 0.0741 2023-02-26 00:14:21,471 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 5:13:38, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.1029, aux.loss_ce: 0.0244, aux.acc_seg: 97.5147, loss: 0.0697 2023-02-26 00:15:08,645 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 5:12:48, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9259, aux.loss_ce: 0.0254, aux.acc_seg: 97.3989, loss: 0.0749 2023-02-26 00:15:56,181 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 5:11:58, time: 0.950, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.8670, aux.loss_ce: 0.0255, aux.acc_seg: 97.3365, loss: 0.0759 2023-02-26 00:16:43,528 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 5:11:07, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0201, aux.loss_ce: 0.0253, aux.acc_seg: 97.3996, loss: 0.0724 2023-02-26 00:17:30,774 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 5:10:17, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8802, aux.loss_ce: 0.0261, aux.acc_seg: 97.3124, loss: 0.0765 2023-02-26 00:18:18,533 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 5:09:27, time: 0.955, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9331, aux.loss_ce: 0.0258, aux.acc_seg: 97.3504, loss: 0.0749 2023-02-26 00:19:08,170 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 5:08:37, time: 0.993, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0083, aux.loss_ce: 0.0256, aux.acc_seg: 97.3761, loss: 0.0731 2023-02-26 00:19:55,741 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 5:07:47, time: 0.951, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9571, aux.loss_ce: 0.0256, aux.acc_seg: 97.3651, loss: 0.0743 2023-02-26 00:20:43,127 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 5:06:57, time: 0.948, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9929, aux.loss_ce: 0.0257, aux.acc_seg: 97.4179, loss: 0.0735 2023-02-26 00:21:30,865 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 5:06:07, time: 0.954, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0241, aux.loss_ce: 0.0249, aux.acc_seg: 97.4492, loss: 0.0720 2023-02-26 00:22:18,322 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 5:05:17, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9732, aux.loss_ce: 0.0257, aux.acc_seg: 97.3494, loss: 0.0735 2023-02-26 00:23:06,407 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 5:04:27, time: 0.962, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0101, aux.loss_ce: 0.0250, aux.acc_seg: 97.4150, loss: 0.0721 2023-02-26 00:23:54,280 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 5:03:37, time: 0.958, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9932, aux.loss_ce: 0.0254, aux.acc_seg: 97.4046, loss: 0.0733 2023-02-26 00:24:43,855 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 5:02:47, time: 0.991, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0039, aux.loss_ce: 0.0254, aux.acc_seg: 97.3854, loss: 0.0733 2023-02-26 00:25:31,122 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 5:01:57, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9608, aux.loss_ce: 0.0259, aux.acc_seg: 97.3487, loss: 0.0745 2023-02-26 00:26:18,339 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 5:01:07, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8671, aux.loss_ce: 0.0264, aux.acc_seg: 97.2683, loss: 0.0770 2023-02-26 00:27:05,459 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 5:00:17, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9397, aux.loss_ce: 0.0263, aux.acc_seg: 97.3115, loss: 0.0756 2023-02-26 00:27:52,702 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 4:59:27, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0546, aux.loss_ce: 0.0256, aux.acc_seg: 97.3726, loss: 0.0717 2023-02-26 00:28:39,950 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 00:28:39,951 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 4:58:37, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0454, decode.acc_seg: 98.0916, aux.loss_ce: 0.0239, aux.acc_seg: 97.5425, loss: 0.0693 2023-02-26 00:29:27,482 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 4:57:47, time: 0.951, data_time: 0.012, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9281, aux.loss_ce: 0.0254, aux.acc_seg: 97.3663, loss: 0.0742 2023-02-26 00:30:15,224 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 4:56:57, time: 0.955, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0454, decode.acc_seg: 98.0999, aux.loss_ce: 0.0251, aux.acc_seg: 97.4522, loss: 0.0705 2023-02-26 00:31:04,944 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 4:56:07, time: 0.995, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0501, aux.loss_ce: 0.0253, aux.acc_seg: 97.3967, loss: 0.0719 2023-02-26 00:31:52,427 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 4:55:17, time: 0.950, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0457, decode.acc_seg: 98.0798, aux.loss_ce: 0.0251, aux.acc_seg: 97.4247, loss: 0.0708 2023-02-26 00:32:39,640 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 4:54:27, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0252, aux.loss_ce: 0.0260, aux.acc_seg: 97.3256, loss: 0.0733 2023-02-26 00:33:26,736 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 4:53:37, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9924, aux.loss_ce: 0.0255, aux.acc_seg: 97.3826, loss: 0.0735 2023-02-26 00:34:13,900 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 4:52:47, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9607, aux.loss_ce: 0.0264, aux.acc_seg: 97.3508, loss: 0.0752 2023-02-26 00:35:01,078 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 4:51:57, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9771, aux.loss_ce: 0.0254, aux.acc_seg: 97.4100, loss: 0.0739 2023-02-26 00:35:48,217 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 4:51:06, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9605, aux.loss_ce: 0.0253, aux.acc_seg: 97.4022, loss: 0.0735 2023-02-26 00:36:38,199 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 4:50:17, time: 1.000, data_time: 0.061, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9130, aux.loss_ce: 0.0265, aux.acc_seg: 97.3270, loss: 0.0769 2023-02-26 00:37:25,333 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 4:49:27, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9632, aux.loss_ce: 0.0245, aux.acc_seg: 97.4865, loss: 0.0729 2023-02-26 00:38:12,642 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 4:48:37, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0643, aux.loss_ce: 0.0251, aux.acc_seg: 97.4377, loss: 0.0712 2023-02-26 00:38:59,852 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 4:47:47, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0168, aux.loss_ce: 0.0256, aux.acc_seg: 97.3684, loss: 0.0729 2023-02-26 00:39:47,366 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 4:46:57, time: 0.950, data_time: 0.013, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0476, aux.loss_ce: 0.0244, aux.acc_seg: 97.5101, loss: 0.0709 2023-02-26 00:40:34,605 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 4:46:06, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0586, aux.loss_ce: 0.0244, aux.acc_seg: 97.5310, loss: 0.0708 2023-02-26 00:41:21,841 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 4:45:16, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.8932, aux.loss_ce: 0.0262, aux.acc_seg: 97.2984, loss: 0.0759 2023-02-26 00:42:12,338 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 4:44:27, time: 1.010, data_time: 0.067, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0384, aux.loss_ce: 0.0243, aux.acc_seg: 97.5119, loss: 0.0713 2023-02-26 00:42:59,621 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 4:43:37, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9741, aux.loss_ce: 0.0247, aux.acc_seg: 97.4574, loss: 0.0726 2023-02-26 00:43:46,944 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 4:42:47, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0257, aux.loss_ce: 0.0250, aux.acc_seg: 97.4621, loss: 0.0723 2023-02-26 00:44:34,138 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 00:44:34,139 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 4:41:57, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0279, aux.loss_ce: 0.0251, aux.acc_seg: 97.4036, loss: 0.0718 2023-02-26 00:45:21,337 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 4:41:06, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8700, aux.loss_ce: 0.0262, aux.acc_seg: 97.3342, loss: 0.0771 2023-02-26 00:46:08,945 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 4:40:16, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0759, aux.loss_ce: 0.0247, aux.acc_seg: 97.4788, loss: 0.0707 2023-02-26 00:46:56,165 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 4:39:26, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9315, aux.loss_ce: 0.0253, aux.acc_seg: 97.4009, loss: 0.0745 2023-02-26 00:47:43,409 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 4:38:36, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0432, decode.acc_seg: 98.1827, aux.loss_ce: 0.0248, aux.acc_seg: 97.4562, loss: 0.0680 2023-02-26 00:48:33,226 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 4:37:47, time: 0.996, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9086, aux.loss_ce: 0.0260, aux.acc_seg: 97.3436, loss: 0.0758 2023-02-26 00:49:20,545 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 4:36:57, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0399, aux.loss_ce: 0.0239, aux.acc_seg: 97.5316, loss: 0.0703 2023-02-26 00:50:07,823 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 4:36:07, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9970, aux.loss_ce: 0.0260, aux.acc_seg: 97.3405, loss: 0.0736 2023-02-26 00:50:55,105 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 4:35:17, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0506, decode.acc_seg: 97.8566, aux.loss_ce: 0.0265, aux.acc_seg: 97.2655, loss: 0.0770 2023-02-26 00:51:42,787 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 4:34:27, time: 0.953, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0514, decode.acc_seg: 97.8709, aux.loss_ce: 0.0263, aux.acc_seg: 97.3410, loss: 0.0777 2023-02-26 00:52:30,362 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 4:33:37, time: 0.952, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 98.0064, aux.loss_ce: 0.0253, aux.acc_seg: 97.4230, loss: 0.0730 2023-02-26 00:53:17,643 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 4:32:46, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0262, aux.loss_ce: 0.0256, aux.acc_seg: 97.3604, loss: 0.0724 2023-02-26 00:54:07,319 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 4:31:57, time: 0.994, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0383, aux.loss_ce: 0.0253, aux.acc_seg: 97.4233, loss: 0.0724 2023-02-26 00:54:54,602 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 4:31:07, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0195, aux.loss_ce: 0.0262, aux.acc_seg: 97.3418, loss: 0.0740 2023-02-26 00:55:41,756 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 4:30:17, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0396, aux.loss_ce: 0.0255, aux.acc_seg: 97.4431, loss: 0.0725 2023-02-26 00:56:28,992 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 4:29:27, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.8820, aux.loss_ce: 0.0264, aux.acc_seg: 97.3011, loss: 0.0762 2023-02-26 00:57:16,209 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 4:28:37, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9521, aux.loss_ce: 0.0257, aux.acc_seg: 97.3602, loss: 0.0744 2023-02-26 00:58:03,434 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 4:27:47, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9533, aux.loss_ce: 0.0251, aux.acc_seg: 97.4291, loss: 0.0741 2023-02-26 00:58:50,944 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 4:26:57, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0233, aux.loss_ce: 0.0254, aux.acc_seg: 97.3995, loss: 0.0723 2023-02-26 00:59:38,439 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 4:26:07, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9956, aux.loss_ce: 0.0248, aux.acc_seg: 97.4643, loss: 0.0724 2023-02-26 01:00:28,467 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-02-26 01:00:36,130 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:00:36,131 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 4:25:18, time: 1.154, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9853, aux.loss_ce: 0.0255, aux.acc_seg: 97.3504, loss: 0.0731 2023-02-26 01:02:04,358 - mmseg - INFO - per class results: 2023-02-26 01:02:04,360 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.6 | 99.17 | | sidewalk | 88.44 | 94.35 | | building | 93.57 | 97.52 | | wall | 60.03 | 65.99 | | fence | 64.77 | 71.93 | | pole | 70.51 | 80.1 | | traffic light | 77.15 | 87.52 | | traffic sign | 84.29 | 90.39 | | vegetation | 93.31 | 96.66 | | terrain | 68.23 | 75.01 | | sky | 95.33 | 98.78 | | person | 86.24 | 93.23 | | rider | 69.61 | 80.57 | | car | 96.06 | 98.52 | | truck | 85.68 | 88.4 | | bus | 94.92 | 96.83 | | train | 90.72 | 92.76 | | motorcycle | 75.26 | 85.17 | | bicycle | 82.03 | 92.59 | +---------------+-------+-------+ 2023-02-26 01:02:04,360 - mmseg - INFO - Summary: 2023-02-26 01:02:04,360 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 96.8 | 82.88 | 88.71 | +------+-------+-------+ 2023-02-26 01:02:04,362 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_128000.pth was removed 2023-02-26 01:02:10,181 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. 2023-02-26 01:02:10,182 - mmseg - INFO - Best mIoU is 0.8288 at 144000 iter. 2023-02-26 01:02:10,182 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:02:10,182 - mmseg - INFO - Iter(val) [125] aAcc: 0.9680, mIoU: 0.8288, mAcc: 0.8871, IoU.road: 0.9860, IoU.sidewalk: 0.8844, IoU.building: 0.9357, IoU.wall: 0.6003, IoU.fence: 0.6477, IoU.pole: 0.7051, IoU.traffic light: 0.7715, IoU.traffic sign: 0.8429, IoU.vegetation: 0.9331, IoU.terrain: 0.6823, IoU.sky: 0.9533, IoU.person: 0.8624, IoU.rider: 0.6961, IoU.car: 0.9606, IoU.truck: 0.8568, IoU.bus: 0.9492, IoU.train: 0.9072, IoU.motorcycle: 0.7526, IoU.bicycle: 0.8203, Acc.road: 0.9917, Acc.sidewalk: 0.9435, Acc.building: 0.9752, Acc.wall: 0.6599, Acc.fence: 0.7193, Acc.pole: 0.8010, Acc.traffic light: 0.8752, Acc.traffic sign: 0.9039, Acc.vegetation: 0.9666, Acc.terrain: 0.7501, Acc.sky: 0.9878, Acc.person: 0.9323, Acc.rider: 0.8057, Acc.car: 0.9852, Acc.truck: 0.8840, Acc.bus: 0.9683, Acc.train: 0.9276, Acc.motorcycle: 0.8517, Acc.bicycle: 0.9259 2023-02-26 01:02:57,796 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 4:24:38, time: 2.833, data_time: 1.897, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0114, aux.loss_ce: 0.0247, aux.acc_seg: 97.4790, loss: 0.0725 2023-02-26 01:03:45,244 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 4:23:48, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.1013, aux.loss_ce: 0.0239, aux.acc_seg: 97.5640, loss: 0.0691 2023-02-26 01:04:32,473 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 4:22:58, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0050, aux.loss_ce: 0.0247, aux.acc_seg: 97.4748, loss: 0.0721 2023-02-26 01:05:19,760 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 4:22:08, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9573, aux.loss_ce: 0.0273, aux.acc_seg: 97.3175, loss: 0.0762 2023-02-26 01:06:07,347 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 4:21:18, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 97.9984, aux.loss_ce: 0.0254, aux.acc_seg: 97.3672, loss: 0.0725 2023-02-26 01:06:54,691 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 4:20:28, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0481, aux.loss_ce: 0.0248, aux.acc_seg: 97.4596, loss: 0.0713 2023-02-26 01:07:44,422 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 4:19:38, time: 0.995, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0512, decode.acc_seg: 97.8509, aux.loss_ce: 0.0265, aux.acc_seg: 97.2979, loss: 0.0777 2023-02-26 01:08:31,644 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 4:18:48, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0691, aux.loss_ce: 0.0248, aux.acc_seg: 97.4611, loss: 0.0708 2023-02-26 01:09:18,879 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 4:17:58, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9478, aux.loss_ce: 0.0264, aux.acc_seg: 97.3141, loss: 0.0754 2023-02-26 01:10:06,021 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 4:17:08, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0594, aux.loss_ce: 0.0247, aux.acc_seg: 97.4691, loss: 0.0704 2023-02-26 01:10:53,184 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 4:16:18, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9320, aux.loss_ce: 0.0262, aux.acc_seg: 97.3495, loss: 0.0758 2023-02-26 01:11:40,340 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 4:15:28, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.8862, aux.loss_ce: 0.0270, aux.acc_seg: 97.2979, loss: 0.0772 2023-02-26 01:12:27,602 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 4:14:38, time: 0.945, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8677, aux.loss_ce: 0.0260, aux.acc_seg: 97.3259, loss: 0.0767 2023-02-26 01:13:15,026 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 4:13:48, time: 0.948, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9354, aux.loss_ce: 0.0260, aux.acc_seg: 97.3740, loss: 0.0755 2023-02-26 01:14:04,732 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 4:12:58, time: 0.994, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9651, aux.loss_ce: 0.0257, aux.acc_seg: 97.3744, loss: 0.0740 2023-02-26 01:14:52,096 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 4:12:08, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9986, aux.loss_ce: 0.0251, aux.acc_seg: 97.4149, loss: 0.0727 2023-02-26 01:15:39,267 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 4:11:18, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0662, aux.loss_ce: 0.0249, aux.acc_seg: 97.4271, loss: 0.0707 2023-02-26 01:16:26,448 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 4:10:28, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0454, decode.acc_seg: 98.0952, aux.loss_ce: 0.0251, aux.acc_seg: 97.4294, loss: 0.0705 2023-02-26 01:17:13,604 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 4:09:38, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9035, aux.loss_ce: 0.0262, aux.acc_seg: 97.3183, loss: 0.0760 2023-02-26 01:18:00,774 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:18:00,774 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 4:08:48, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9632, aux.loss_ce: 0.0255, aux.acc_seg: 97.3799, loss: 0.0737 2023-02-26 01:18:47,984 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 4:07:58, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0414, aux.loss_ce: 0.0245, aux.acc_seg: 97.4715, loss: 0.0707 2023-02-26 01:19:37,506 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 4:07:08, time: 0.990, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0561, aux.loss_ce: 0.0261, aux.acc_seg: 97.3430, loss: 0.0725 2023-02-26 01:20:24,651 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 4:06:18, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.0979, aux.loss_ce: 0.0245, aux.acc_seg: 97.4820, loss: 0.0696 2023-02-26 01:21:12,089 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 4:05:28, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.9445, aux.loss_ce: 0.0258, aux.acc_seg: 97.3876, loss: 0.0759 2023-02-26 01:21:59,255 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 4:04:38, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0507, decode.acc_seg: 97.8960, aux.loss_ce: 0.0263, aux.acc_seg: 97.3405, loss: 0.0770 2023-02-26 01:22:46,393 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 4:03:48, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9713, aux.loss_ce: 0.0256, aux.acc_seg: 97.3787, loss: 0.0734 2023-02-26 01:23:34,246 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 4:02:58, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 98.0113, aux.loss_ce: 0.0253, aux.acc_seg: 97.4376, loss: 0.0729 2023-02-26 01:24:21,397 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 4:02:08, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9562, aux.loss_ce: 0.0257, aux.acc_seg: 97.3686, loss: 0.0741 2023-02-26 01:25:08,440 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 4:01:18, time: 0.941, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9744, aux.loss_ce: 0.0261, aux.acc_seg: 97.3526, loss: 0.0743 2023-02-26 01:25:57,942 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 4:00:28, time: 0.990, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9406, aux.loss_ce: 0.0264, aux.acc_seg: 97.3271, loss: 0.0758 2023-02-26 01:26:45,071 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 3:59:38, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0442, decode.acc_seg: 98.1489, aux.loss_ce: 0.0244, aux.acc_seg: 97.4988, loss: 0.0686 2023-02-26 01:27:32,221 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 3:58:48, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0074, aux.loss_ce: 0.0253, aux.acc_seg: 97.4380, loss: 0.0728 2023-02-26 01:28:19,392 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 3:57:58, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0219, aux.loss_ce: 0.0251, aux.acc_seg: 97.4308, loss: 0.0726 2023-02-26 01:29:06,628 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 3:57:08, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0050, aux.loss_ce: 0.0254, aux.acc_seg: 97.3745, loss: 0.0724 2023-02-26 01:29:53,816 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 3:56:18, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0191, aux.loss_ce: 0.0253, aux.acc_seg: 97.4098, loss: 0.0725 2023-02-26 01:30:41,036 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 3:55:28, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0502, decode.acc_seg: 97.9068, aux.loss_ce: 0.0257, aux.acc_seg: 97.3873, loss: 0.0760 2023-02-26 01:31:30,494 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 3:54:39, time: 0.989, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0290, aux.loss_ce: 0.0257, aux.acc_seg: 97.3924, loss: 0.0731 2023-02-26 01:32:17,674 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 3:53:49, time: 0.944, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9632, aux.loss_ce: 0.0251, aux.acc_seg: 97.3921, loss: 0.0729 2023-02-26 01:33:04,830 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 3:52:59, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0177, aux.loss_ce: 0.0250, aux.acc_seg: 97.4342, loss: 0.0720 2023-02-26 01:33:52,266 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:33:52,266 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 3:52:09, time: 0.949, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9766, aux.loss_ce: 0.0256, aux.acc_seg: 97.3564, loss: 0.0736 2023-02-26 01:34:40,129 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 3:51:19, time: 0.957, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9888, aux.loss_ce: 0.0248, aux.acc_seg: 97.4656, loss: 0.0727 2023-02-26 01:35:28,007 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 3:50:29, time: 0.958, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9603, aux.loss_ce: 0.0253, aux.acc_seg: 97.4016, loss: 0.0738 2023-02-26 01:36:15,904 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 3:49:39, time: 0.958, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0510, decode.acc_seg: 97.8536, aux.loss_ce: 0.0269, aux.acc_seg: 97.2440, loss: 0.0780 2023-02-26 01:37:05,878 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 3:48:49, time: 0.999, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9836, aux.loss_ce: 0.0253, aux.acc_seg: 97.3771, loss: 0.0729 2023-02-26 01:37:53,022 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 3:47:59, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.0923, aux.loss_ce: 0.0238, aux.acc_seg: 97.5463, loss: 0.0689 2023-02-26 01:38:40,207 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 3:47:09, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0589, aux.loss_ce: 0.0253, aux.acc_seg: 97.4220, loss: 0.0717 2023-02-26 01:39:27,549 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 3:46:19, time: 0.947, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0030, aux.loss_ce: 0.0260, aux.acc_seg: 97.3519, loss: 0.0736 2023-02-26 01:40:14,851 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 3:45:29, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9542, aux.loss_ce: 0.0268, aux.acc_seg: 97.2688, loss: 0.0757 2023-02-26 01:41:02,097 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 3:44:39, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 97.9983, aux.loss_ce: 0.0260, aux.acc_seg: 97.3426, loss: 0.0731 2023-02-26 01:41:49,244 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 3:43:49, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0457, decode.acc_seg: 98.0583, aux.loss_ce: 0.0245, aux.acc_seg: 97.4605, loss: 0.0702 2023-02-26 01:42:36,418 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 3:42:59, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0443, decode.acc_seg: 98.1472, aux.loss_ce: 0.0251, aux.acc_seg: 97.4487, loss: 0.0694 2023-02-26 01:43:25,953 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 3:42:09, time: 0.991, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9523, aux.loss_ce: 0.0257, aux.acc_seg: 97.3491, loss: 0.0743 2023-02-26 01:44:13,104 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 3:41:20, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9351, aux.loss_ce: 0.0259, aux.acc_seg: 97.3395, loss: 0.0751 2023-02-26 01:45:00,424 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 3:40:30, time: 0.947, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9512, aux.loss_ce: 0.0259, aux.acc_seg: 97.3397, loss: 0.0743 2023-02-26 01:45:47,682 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 3:39:40, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.8733, aux.loss_ce: 0.0259, aux.acc_seg: 97.3303, loss: 0.0756 2023-02-26 01:46:34,825 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 3:38:50, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0057, aux.loss_ce: 0.0254, aux.acc_seg: 97.3984, loss: 0.0730 2023-02-26 01:47:21,996 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 3:38:00, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9238, aux.loss_ce: 0.0255, aux.acc_seg: 97.4079, loss: 0.0753 2023-02-26 01:48:09,157 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 3:37:10, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0447, decode.acc_seg: 98.0871, aux.loss_ce: 0.0245, aux.acc_seg: 97.4149, loss: 0.0692 2023-02-26 01:48:58,644 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 3:36:20, time: 0.990, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0599, aux.loss_ce: 0.0249, aux.acc_seg: 97.4698, loss: 0.0717 2023-02-26 01:49:45,711 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 01:49:45,712 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 3:35:30, time: 0.941, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0144, aux.loss_ce: 0.0242, aux.acc_seg: 97.4974, loss: 0.0708 2023-02-26 01:50:32,801 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 3:34:40, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9822, aux.loss_ce: 0.0245, aux.acc_seg: 97.4928, loss: 0.0727 2023-02-26 01:51:20,211 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 3:33:50, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9693, aux.loss_ce: 0.0251, aux.acc_seg: 97.3922, loss: 0.0728 2023-02-26 01:52:07,688 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 3:33:00, time: 0.949, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.9029, aux.loss_ce: 0.0257, aux.acc_seg: 97.3947, loss: 0.0761 2023-02-26 01:52:55,558 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 3:32:10, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0460, aux.loss_ce: 0.0253, aux.acc_seg: 97.4241, loss: 0.0722 2023-02-26 01:53:43,486 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 3:31:20, time: 0.959, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9675, aux.loss_ce: 0.0251, aux.acc_seg: 97.4308, loss: 0.0738 2023-02-26 01:54:31,012 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 3:30:30, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9679, aux.loss_ce: 0.0255, aux.acc_seg: 97.3598, loss: 0.0735 2023-02-26 01:55:21,084 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 3:29:41, time: 1.001, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0508, decode.acc_seg: 97.8939, aux.loss_ce: 0.0251, aux.acc_seg: 97.4652, loss: 0.0759 2023-02-26 01:56:08,937 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 3:28:51, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9528, aux.loss_ce: 0.0260, aux.acc_seg: 97.3758, loss: 0.0752 2023-02-26 01:56:56,296 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 3:28:01, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9433, aux.loss_ce: 0.0254, aux.acc_seg: 97.3915, loss: 0.0747 2023-02-26 01:57:43,522 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 3:27:11, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0463, decode.acc_seg: 98.0370, aux.loss_ce: 0.0238, aux.acc_seg: 97.5225, loss: 0.0701 2023-02-26 01:58:30,844 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 3:26:21, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9676, aux.loss_ce: 0.0249, aux.acc_seg: 97.4442, loss: 0.0733 2023-02-26 01:59:18,977 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 3:25:31, time: 0.963, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 97.9982, aux.loss_ce: 0.0244, aux.acc_seg: 97.4724, loss: 0.0719 2023-02-26 02:00:07,152 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 3:24:41, time: 0.963, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0442, decode.acc_seg: 98.1339, aux.loss_ce: 0.0245, aux.acc_seg: 97.4900, loss: 0.0686 2023-02-26 02:00:57,241 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 3:23:52, time: 1.002, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0267, aux.loss_ce: 0.0255, aux.acc_seg: 97.3674, loss: 0.0722 2023-02-26 02:01:44,504 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 3:23:02, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0621, aux.loss_ce: 0.0248, aux.acc_seg: 97.4535, loss: 0.0710 2023-02-26 02:02:31,660 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 3:22:12, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0494, decode.acc_seg: 97.9260, aux.loss_ce: 0.0254, aux.acc_seg: 97.3986, loss: 0.0748 2023-02-26 02:03:18,987 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 3:21:22, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0409, aux.loss_ce: 0.0254, aux.acc_seg: 97.3895, loss: 0.0719 2023-02-26 02:04:07,062 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 3:20:32, time: 0.961, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0751, aux.loss_ce: 0.0244, aux.acc_seg: 97.4777, loss: 0.0700 2023-02-26 02:04:54,647 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 3:19:42, time: 0.952, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0463, decode.acc_seg: 98.0595, aux.loss_ce: 0.0249, aux.acc_seg: 97.4537, loss: 0.0713 2023-02-26 02:05:41,896 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:05:41,897 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 3:18:52, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0223, aux.loss_ce: 0.0251, aux.acc_seg: 97.4210, loss: 0.0724 2023-02-26 02:06:29,039 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 3:18:02, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9743, aux.loss_ce: 0.0257, aux.acc_seg: 97.3979, loss: 0.0741 2023-02-26 02:07:18,447 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 3:17:13, time: 0.988, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.0606, aux.loss_ce: 0.0244, aux.acc_seg: 97.4648, loss: 0.0697 2023-02-26 02:08:05,779 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 3:16:23, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0261, aux.loss_ce: 0.0252, aux.acc_seg: 97.4271, loss: 0.0720 2023-02-26 02:08:52,838 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 3:15:33, time: 0.941, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0601, aux.loss_ce: 0.0242, aux.acc_seg: 97.5385, loss: 0.0704 2023-02-26 02:09:39,919 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 3:14:43, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9997, aux.loss_ce: 0.0248, aux.acc_seg: 97.4731, loss: 0.0724 2023-02-26 02:10:27,011 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 3:13:53, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9965, aux.loss_ce: 0.0258, aux.acc_seg: 97.3837, loss: 0.0739 2023-02-26 02:11:14,081 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 3:13:03, time: 0.941, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0746, aux.loss_ce: 0.0252, aux.acc_seg: 97.4378, loss: 0.0712 2023-02-26 02:12:01,197 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 3:12:13, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0195, aux.loss_ce: 0.0257, aux.acc_seg: 97.3645, loss: 0.0729 2023-02-26 02:12:51,861 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 3:11:23, time: 1.014, data_time: 0.067, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0321, aux.loss_ce: 0.0252, aux.acc_seg: 97.4036, loss: 0.0721 2023-02-26 02:13:39,146 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 3:10:33, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0828, aux.loss_ce: 0.0251, aux.acc_seg: 97.4353, loss: 0.0711 2023-02-26 02:14:26,417 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 3:09:44, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0569, aux.loss_ce: 0.0244, aux.acc_seg: 97.4848, loss: 0.0704 2023-02-26 02:15:13,712 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 3:08:54, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0530, aux.loss_ce: 0.0246, aux.acc_seg: 97.4968, loss: 0.0712 2023-02-26 02:16:00,962 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 3:08:04, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9760, aux.loss_ce: 0.0251, aux.acc_seg: 97.4525, loss: 0.0739 2023-02-26 02:16:48,197 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 3:07:14, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0670, aux.loss_ce: 0.0263, aux.acc_seg: 97.3522, loss: 0.0724 2023-02-26 02:17:35,453 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 3:06:24, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9348, aux.loss_ce: 0.0255, aux.acc_seg: 97.3612, loss: 0.0739 2023-02-26 02:18:23,245 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 3:05:34, time: 0.956, data_time: 0.018, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9229, aux.loss_ce: 0.0262, aux.acc_seg: 97.3131, loss: 0.0753 2023-02-26 02:19:13,293 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 3:04:44, time: 1.001, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9444, aux.loss_ce: 0.0259, aux.acc_seg: 97.3273, loss: 0.0747 2023-02-26 02:20:00,617 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 3:03:55, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0365, aux.loss_ce: 0.0255, aux.acc_seg: 97.3976, loss: 0.0722 2023-02-26 02:20:47,977 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 3:03:05, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0489, decode.acc_seg: 97.9469, aux.loss_ce: 0.0266, aux.acc_seg: 97.2847, loss: 0.0754 2023-02-26 02:21:35,280 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:21:35,280 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 3:02:15, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0485, aux.loss_ce: 0.0249, aux.acc_seg: 97.4236, loss: 0.0707 2023-02-26 02:22:22,731 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 3:01:25, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0455, decode.acc_seg: 98.0840, aux.loss_ce: 0.0248, aux.acc_seg: 97.4698, loss: 0.0702 2023-02-26 02:23:09,885 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 3:00:35, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9629, aux.loss_ce: 0.0250, aux.acc_seg: 97.4464, loss: 0.0735 2023-02-26 02:23:57,048 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 2:59:45, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 97.9894, aux.loss_ce: 0.0246, aux.acc_seg: 97.4462, loss: 0.0719 2023-02-26 02:24:47,097 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 2:58:55, time: 1.001, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0792, aux.loss_ce: 0.0245, aux.acc_seg: 97.4791, loss: 0.0702 2023-02-26 02:25:34,635 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 2:58:06, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0034, aux.loss_ce: 0.0249, aux.acc_seg: 97.4445, loss: 0.0723 2023-02-26 02:26:21,886 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 2:57:16, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.9138, aux.loss_ce: 0.0253, aux.acc_seg: 97.4177, loss: 0.0752 2023-02-26 02:27:09,151 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 2:56:26, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0301, aux.loss_ce: 0.0240, aux.acc_seg: 97.4927, loss: 0.0701 2023-02-26 02:27:56,390 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 2:55:36, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0441, decode.acc_seg: 98.1401, aux.loss_ce: 0.0247, aux.acc_seg: 97.4687, loss: 0.0688 2023-02-26 02:28:43,650 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 2:54:46, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9481, aux.loss_ce: 0.0247, aux.acc_seg: 97.4652, loss: 0.0734 2023-02-26 02:29:30,903 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 2:53:56, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.1086, aux.loss_ce: 0.0254, aux.acc_seg: 97.4159, loss: 0.0706 2023-02-26 02:30:20,552 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 2:53:07, time: 0.993, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0688, aux.loss_ce: 0.0255, aux.acc_seg: 97.3994, loss: 0.0721 2023-02-26 02:31:07,838 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 2:52:17, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0249, aux.loss_ce: 0.0249, aux.acc_seg: 97.4439, loss: 0.0722 2023-02-26 02:31:55,552 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 2:51:27, time: 0.954, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9654, aux.loss_ce: 0.0244, aux.acc_seg: 97.5017, loss: 0.0725 2023-02-26 02:32:42,916 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 2:50:37, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0511, decode.acc_seg: 97.8665, aux.loss_ce: 0.0272, aux.acc_seg: 97.2565, loss: 0.0783 2023-02-26 02:33:30,724 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 2:49:47, time: 0.956, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9262, aux.loss_ce: 0.0259, aux.acc_seg: 97.3667, loss: 0.0755 2023-02-26 02:34:18,569 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 2:48:57, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9525, aux.loss_ce: 0.0258, aux.acc_seg: 97.3610, loss: 0.0745 2023-02-26 02:35:06,411 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 2:48:07, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0534, decode.acc_seg: 97.7173, aux.loss_ce: 0.0275, aux.acc_seg: 97.1099, loss: 0.0809 2023-02-26 02:35:54,267 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 2:47:18, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0463, decode.acc_seg: 98.0396, aux.loss_ce: 0.0252, aux.acc_seg: 97.4087, loss: 0.0715 2023-02-26 02:36:43,968 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 2:46:28, time: 0.994, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.1127, aux.loss_ce: 0.0248, aux.acc_seg: 97.4690, loss: 0.0700 2023-02-26 02:37:31,053 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:37:31,054 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 2:45:38, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.1008, aux.loss_ce: 0.0240, aux.acc_seg: 97.5265, loss: 0.0691 2023-02-26 02:38:18,209 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 2:44:48, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9731, aux.loss_ce: 0.0256, aux.acc_seg: 97.3408, loss: 0.0733 2023-02-26 02:39:06,156 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 2:43:58, time: 0.959, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9946, aux.loss_ce: 0.0259, aux.acc_seg: 97.3642, loss: 0.0738 2023-02-26 02:39:54,243 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 2:43:09, time: 0.962, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0455, decode.acc_seg: 98.0903, aux.loss_ce: 0.0246, aux.acc_seg: 97.4764, loss: 0.0701 2023-02-26 02:40:42,015 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 2:42:19, time: 0.956, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0447, aux.loss_ce: 0.0253, aux.acc_seg: 97.4290, loss: 0.0723 2023-02-26 02:41:29,742 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 2:41:29, time: 0.955, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0459, decode.acc_seg: 98.0408, aux.loss_ce: 0.0247, aux.acc_seg: 97.4338, loss: 0.0705 2023-02-26 02:42:19,431 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 2:40:39, time: 0.994, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0033, aux.loss_ce: 0.0252, aux.acc_seg: 97.4278, loss: 0.0730 2023-02-26 02:43:07,300 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 2:39:50, time: 0.957, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0398, aux.loss_ce: 0.0246, aux.acc_seg: 97.4652, loss: 0.0710 2023-02-26 02:43:54,652 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 2:39:00, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9821, aux.loss_ce: 0.0257, aux.acc_seg: 97.3705, loss: 0.0736 2023-02-26 02:44:42,220 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 2:38:10, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0092, aux.loss_ce: 0.0248, aux.acc_seg: 97.4466, loss: 0.0721 2023-02-26 02:45:29,610 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 2:37:20, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0446, decode.acc_seg: 98.1201, aux.loss_ce: 0.0243, aux.acc_seg: 97.4874, loss: 0.0689 2023-02-26 02:46:16,889 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 2:36:30, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0437, aux.loss_ce: 0.0233, aux.acc_seg: 97.6085, loss: 0.0697 2023-02-26 02:47:04,109 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 2:35:40, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0459, decode.acc_seg: 98.0650, aux.loss_ce: 0.0250, aux.acc_seg: 97.4200, loss: 0.0710 2023-02-26 02:47:51,385 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 2:34:50, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 97.9931, aux.loss_ce: 0.0256, aux.acc_seg: 97.3535, loss: 0.0730 2023-02-26 02:48:41,022 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 2:34:01, time: 0.992, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9428, aux.loss_ce: 0.0249, aux.acc_seg: 97.4183, loss: 0.0733 2023-02-26 02:49:28,947 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 2:33:11, time: 0.958, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.1052, aux.loss_ce: 0.0243, aux.acc_seg: 97.5006, loss: 0.0696 2023-02-26 02:50:16,851 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 2:32:21, time: 0.958, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 97.9822, aux.loss_ce: 0.0244, aux.acc_seg: 97.4665, loss: 0.0719 2023-02-26 02:51:04,014 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 2:31:31, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9422, aux.loss_ce: 0.0251, aux.acc_seg: 97.4048, loss: 0.0737 2023-02-26 02:51:51,186 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 2:30:42, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9638, aux.loss_ce: 0.0259, aux.acc_seg: 97.3589, loss: 0.0746 2023-02-26 02:52:38,346 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 2:29:52, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8907, aux.loss_ce: 0.0261, aux.acc_seg: 97.3139, loss: 0.0765 2023-02-26 02:53:25,484 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 02:53:25,484 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 2:29:02, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.8849, aux.loss_ce: 0.0267, aux.acc_seg: 97.2806, loss: 0.0772 2023-02-26 02:54:15,117 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 2:28:12, time: 0.993, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0264, aux.loss_ce: 0.0257, aux.acc_seg: 97.3890, loss: 0.0730 2023-02-26 02:55:02,281 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 2:27:22, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0457, decode.acc_seg: 98.0777, aux.loss_ce: 0.0253, aux.acc_seg: 97.4151, loss: 0.0710 2023-02-26 02:55:49,442 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 2:26:33, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0439, decode.acc_seg: 98.1375, aux.loss_ce: 0.0242, aux.acc_seg: 97.4986, loss: 0.0682 2023-02-26 02:56:36,584 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 2:25:43, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.8940, aux.loss_ce: 0.0260, aux.acc_seg: 97.2968, loss: 0.0755 2023-02-26 02:57:23,715 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 2:24:53, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0451, aux.loss_ce: 0.0252, aux.acc_seg: 97.4132, loss: 0.0720 2023-02-26 02:58:10,871 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 2:24:03, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9945, aux.loss_ce: 0.0245, aux.acc_seg: 97.4827, loss: 0.0723 2023-02-26 02:58:58,071 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 2:23:13, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0444, decode.acc_seg: 98.1285, aux.loss_ce: 0.0241, aux.acc_seg: 97.5239, loss: 0.0685 2023-02-26 02:59:45,263 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 2:22:23, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0612, aux.loss_ce: 0.0254, aux.acc_seg: 97.3975, loss: 0.0715 2023-02-26 03:00:34,838 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 2:21:34, time: 0.991, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9738, aux.loss_ce: 0.0248, aux.acc_seg: 97.4622, loss: 0.0731 2023-02-26 03:01:21,964 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 2:20:44, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0149, aux.loss_ce: 0.0251, aux.acc_seg: 97.4064, loss: 0.0723 2023-02-26 03:02:09,504 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 2:19:54, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0459, decode.acc_seg: 98.0925, aux.loss_ce: 0.0242, aux.acc_seg: 97.5474, loss: 0.0701 2023-02-26 03:02:56,871 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 2:19:04, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9769, aux.loss_ce: 0.0244, aux.acc_seg: 97.5073, loss: 0.0725 2023-02-26 03:03:44,043 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 2:18:15, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0292, aux.loss_ce: 0.0248, aux.acc_seg: 97.4467, loss: 0.0715 2023-02-26 03:04:31,204 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 2:17:25, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 97.9984, aux.loss_ce: 0.0251, aux.acc_seg: 97.4075, loss: 0.0721 2023-02-26 03:05:18,568 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 2:16:35, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9667, aux.loss_ce: 0.0255, aux.acc_seg: 97.3981, loss: 0.0739 2023-02-26 03:06:08,172 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 2:15:45, time: 0.992, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9385, aux.loss_ce: 0.0258, aux.acc_seg: 97.3585, loss: 0.0749 2023-02-26 03:06:55,339 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 2:14:55, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9844, aux.loss_ce: 0.0257, aux.acc_seg: 97.3520, loss: 0.0735 2023-02-26 03:07:42,512 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 2:14:06, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0317, aux.loss_ce: 0.0244, aux.acc_seg: 97.4897, loss: 0.0708 2023-02-26 03:08:29,663 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 2:13:16, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9660, aux.loss_ce: 0.0261, aux.acc_seg: 97.3243, loss: 0.0745 2023-02-26 03:09:16,802 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:09:16,803 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 2:12:26, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.0867, aux.loss_ce: 0.0242, aux.acc_seg: 97.5006, loss: 0.0695 2023-02-26 03:10:03,970 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 2:11:36, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0078, aux.loss_ce: 0.0251, aux.acc_seg: 97.4310, loss: 0.0723 2023-02-26 03:10:51,108 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 2:10:46, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0445, decode.acc_seg: 98.1184, aux.loss_ce: 0.0251, aux.acc_seg: 97.4177, loss: 0.0696 2023-02-26 03:11:40,652 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 2:09:57, time: 0.991, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0503, decode.acc_seg: 97.8821, aux.loss_ce: 0.0259, aux.acc_seg: 97.3413, loss: 0.0762 2023-02-26 03:12:27,920 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 2:09:07, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.1056, aux.loss_ce: 0.0239, aux.acc_seg: 97.5420, loss: 0.0691 2023-02-26 03:13:15,187 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 2:08:17, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0686, aux.loss_ce: 0.0250, aux.acc_seg: 97.4394, loss: 0.0710 2023-02-26 03:14:02,481 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 2:07:27, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0528, aux.loss_ce: 0.0254, aux.acc_seg: 97.3894, loss: 0.0720 2023-02-26 03:14:49,741 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 2:06:38, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0013, aux.loss_ce: 0.0246, aux.acc_seg: 97.4755, loss: 0.0721 2023-02-26 03:15:37,036 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 2:05:48, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0013, aux.loss_ce: 0.0251, aux.acc_seg: 97.4433, loss: 0.0727 2023-02-26 03:16:24,348 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 2:04:58, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0841, aux.loss_ce: 0.0239, aux.acc_seg: 97.5446, loss: 0.0695 2023-02-26 03:17:11,863 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 2:04:08, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0500, aux.loss_ce: 0.0253, aux.acc_seg: 97.4512, loss: 0.0719 2023-02-26 03:18:01,630 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 2:03:19, time: 0.996, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.1057, aux.loss_ce: 0.0246, aux.acc_seg: 97.4967, loss: 0.0699 2023-02-26 03:18:48,720 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 2:02:29, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0339, aux.loss_ce: 0.0261, aux.acc_seg: 97.3530, loss: 0.0731 2023-02-26 03:19:35,807 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 2:01:39, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0438, decode.acc_seg: 98.1401, aux.loss_ce: 0.0239, aux.acc_seg: 97.5243, loss: 0.0677 2023-02-26 03:20:22,994 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 2:00:49, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0283, aux.loss_ce: 0.0248, aux.acc_seg: 97.4575, loss: 0.0715 2023-02-26 03:21:10,393 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 2:00:00, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 97.9945, aux.loss_ce: 0.0260, aux.acc_seg: 97.3249, loss: 0.0733 2023-02-26 03:21:57,564 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 1:59:10, time: 0.943, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9659, aux.loss_ce: 0.0255, aux.acc_seg: 97.3815, loss: 0.0737 2023-02-26 03:22:45,046 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 1:58:20, time: 0.950, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9539, aux.loss_ce: 0.0256, aux.acc_seg: 97.3833, loss: 0.0741 2023-02-26 03:23:34,465 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 1:57:30, time: 0.988, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9960, aux.loss_ce: 0.0253, aux.acc_seg: 97.4156, loss: 0.0731 2023-02-26 03:24:21,686 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 1:56:41, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0455, decode.acc_seg: 98.0532, aux.loss_ce: 0.0245, aux.acc_seg: 97.4507, loss: 0.0700 2023-02-26 03:25:08,871 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:25:08,871 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 1:55:51, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9321, aux.loss_ce: 0.0253, aux.acc_seg: 97.3898, loss: 0.0743 2023-02-26 03:25:56,028 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 1:55:01, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.9062, aux.loss_ce: 0.0254, aux.acc_seg: 97.3987, loss: 0.0754 2023-02-26 03:26:43,232 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 1:54:11, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0457, decode.acc_seg: 98.0804, aux.loss_ce: 0.0248, aux.acc_seg: 97.4501, loss: 0.0705 2023-02-26 03:27:30,449 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 1:53:22, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.0998, aux.loss_ce: 0.0245, aux.acc_seg: 97.4806, loss: 0.0696 2023-02-26 03:28:17,622 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 1:52:32, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9472, aux.loss_ce: 0.0259, aux.acc_seg: 97.3418, loss: 0.0746 2023-02-26 03:29:04,797 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 1:51:42, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 98.0128, aux.loss_ce: 0.0244, aux.acc_seg: 97.5291, loss: 0.0723 2023-02-26 03:29:54,334 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 1:50:52, time: 0.991, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0471, decode.acc_seg: 98.0372, aux.loss_ce: 0.0257, aux.acc_seg: 97.3956, loss: 0.0728 2023-02-26 03:30:41,638 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 1:50:03, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0377, aux.loss_ce: 0.0244, aux.acc_seg: 97.5007, loss: 0.0713 2023-02-26 03:31:29,378 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 1:49:13, time: 0.955, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9903, aux.loss_ce: 0.0247, aux.acc_seg: 97.4783, loss: 0.0726 2023-02-26 03:32:16,691 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 1:48:23, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.8977, aux.loss_ce: 0.0257, aux.acc_seg: 97.3455, loss: 0.0758 2023-02-26 03:33:03,943 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 1:47:33, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0455, decode.acc_seg: 98.0986, aux.loss_ce: 0.0240, aux.acc_seg: 97.5366, loss: 0.0696 2023-02-26 03:33:51,092 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 1:46:44, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9323, aux.loss_ce: 0.0260, aux.acc_seg: 97.3229, loss: 0.0751 2023-02-26 03:34:38,313 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 1:45:54, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0492, decode.acc_seg: 97.9192, aux.loss_ce: 0.0264, aux.acc_seg: 97.2716, loss: 0.0757 2023-02-26 03:35:27,901 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 1:45:04, time: 0.992, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0443, decode.acc_seg: 98.1225, aux.loss_ce: 0.0246, aux.acc_seg: 97.4578, loss: 0.0688 2023-02-26 03:36:15,136 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 1:44:15, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0813, aux.loss_ce: 0.0252, aux.acc_seg: 97.4210, loss: 0.0708 2023-02-26 03:37:02,346 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 1:43:25, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0440, decode.acc_seg: 98.1656, aux.loss_ce: 0.0265, aux.acc_seg: 97.3635, loss: 0.0705 2023-02-26 03:37:49,513 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 1:42:35, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0361, aux.loss_ce: 0.0243, aux.acc_seg: 97.5266, loss: 0.0711 2023-02-26 03:38:37,100 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 1:41:45, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9812, aux.loss_ce: 0.0249, aux.acc_seg: 97.4500, loss: 0.0730 2023-02-26 03:39:24,971 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 1:40:56, time: 0.957, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 97.9920, aux.loss_ce: 0.0242, aux.acc_seg: 97.4959, loss: 0.0715 2023-02-26 03:40:12,321 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 1:40:06, time: 0.947, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0459, decode.acc_seg: 98.0977, aux.loss_ce: 0.0244, aux.acc_seg: 97.5275, loss: 0.0703 2023-02-26 03:40:59,478 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:40:59,479 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 1:39:16, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0133, aux.loss_ce: 0.0255, aux.acc_seg: 97.3345, loss: 0.0723 2023-02-26 03:41:49,022 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 1:38:27, time: 0.991, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.8876, aux.loss_ce: 0.0254, aux.acc_seg: 97.3786, loss: 0.0753 2023-02-26 03:42:36,213 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 1:37:37, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0495, decode.acc_seg: 97.9137, aux.loss_ce: 0.0269, aux.acc_seg: 97.2055, loss: 0.0764 2023-02-26 03:43:23,614 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 1:36:47, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0484, decode.acc_seg: 97.9707, aux.loss_ce: 0.0253, aux.acc_seg: 97.4163, loss: 0.0737 2023-02-26 03:44:11,143 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 1:35:57, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9493, aux.loss_ce: 0.0255, aux.acc_seg: 97.4067, loss: 0.0742 2023-02-26 03:44:58,769 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 1:35:08, time: 0.953, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0395, aux.loss_ce: 0.0246, aux.acc_seg: 97.4879, loss: 0.0712 2023-02-26 03:45:46,045 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 1:34:18, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0444, decode.acc_seg: 98.1180, aux.loss_ce: 0.0240, aux.acc_seg: 97.5170, loss: 0.0684 2023-02-26 03:46:33,404 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 1:33:28, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.0884, aux.loss_ce: 0.0237, aux.acc_seg: 97.5687, loss: 0.0691 2023-02-26 03:47:23,264 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 1:32:39, time: 0.997, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9919, aux.loss_ce: 0.0253, aux.acc_seg: 97.4011, loss: 0.0728 2023-02-26 03:48:11,155 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 1:31:49, time: 0.958, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0449, decode.acc_seg: 98.0845, aux.loss_ce: 0.0244, aux.acc_seg: 97.4695, loss: 0.0693 2023-02-26 03:48:58,246 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 1:30:59, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0481, decode.acc_seg: 97.9708, aux.loss_ce: 0.0244, aux.acc_seg: 97.4938, loss: 0.0725 2023-02-26 03:49:45,584 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 1:30:09, time: 0.947, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0655, aux.loss_ce: 0.0246, aux.acc_seg: 97.4674, loss: 0.0706 2023-02-26 03:50:32,895 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 1:29:20, time: 0.946, data_time: 0.011, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.9473, aux.loss_ce: 0.0257, aux.acc_seg: 97.3940, loss: 0.0749 2023-02-26 03:51:20,397 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 1:28:30, time: 0.950, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.1010, aux.loss_ce: 0.0245, aux.acc_seg: 97.4956, loss: 0.0697 2023-02-26 03:52:07,634 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 1:27:40, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0195, aux.loss_ce: 0.0258, aux.acc_seg: 97.3392, loss: 0.0725 2023-02-26 03:52:54,823 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 1:26:51, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 97.9983, aux.loss_ce: 0.0246, aux.acc_seg: 97.4493, loss: 0.0718 2023-02-26 03:53:44,546 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 1:26:01, time: 0.994, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0201, aux.loss_ce: 0.0243, aux.acc_seg: 97.4697, loss: 0.0708 2023-02-26 03:54:32,353 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 1:25:11, time: 0.956, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.1054, aux.loss_ce: 0.0252, aux.acc_seg: 97.4188, loss: 0.0703 2023-02-26 03:55:19,739 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 1:24:22, time: 0.948, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0497, decode.acc_seg: 97.9114, aux.loss_ce: 0.0254, aux.acc_seg: 97.3932, loss: 0.0751 2023-02-26 03:56:07,001 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 1:23:32, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 97.9995, aux.loss_ce: 0.0247, aux.acc_seg: 97.4904, loss: 0.0723 2023-02-26 03:56:54,354 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 03:56:54,355 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 1:22:42, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9371, aux.loss_ce: 0.0260, aux.acc_seg: 97.3171, loss: 0.0751 2023-02-26 03:57:41,870 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 1:21:52, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0781, aux.loss_ce: 0.0249, aux.acc_seg: 97.4726, loss: 0.0709 2023-02-26 03:58:29,310 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 1:21:03, time: 0.949, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9924, aux.loss_ce: 0.0247, aux.acc_seg: 97.4712, loss: 0.0726 2023-02-26 03:59:18,897 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 1:20:13, time: 0.992, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0451, decode.acc_seg: 98.0881, aux.loss_ce: 0.0237, aux.acc_seg: 97.5643, loss: 0.0688 2023-02-26 04:00:06,174 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 1:19:23, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9093, aux.loss_ce: 0.0256, aux.acc_seg: 97.3703, loss: 0.0754 2023-02-26 04:00:53,454 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 1:18:34, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0441, decode.acc_seg: 98.1515, aux.loss_ce: 0.0240, aux.acc_seg: 97.5360, loss: 0.0681 2023-02-26 04:01:40,918 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 1:17:44, time: 0.949, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0458, decode.acc_seg: 98.0832, aux.loss_ce: 0.0243, aux.acc_seg: 97.5187, loss: 0.0701 2023-02-26 04:02:28,218 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 1:16:54, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0505, decode.acc_seg: 97.8591, aux.loss_ce: 0.0255, aux.acc_seg: 97.3788, loss: 0.0760 2023-02-26 04:03:16,020 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 1:16:05, time: 0.956, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0462, aux.loss_ce: 0.0248, aux.acc_seg: 97.4542, loss: 0.0714 2023-02-26 04:04:03,566 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 1:15:15, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9782, aux.loss_ce: 0.0260, aux.acc_seg: 97.3229, loss: 0.0739 2023-02-26 04:04:53,132 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 1:14:25, time: 0.991, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9699, aux.loss_ce: 0.0254, aux.acc_seg: 97.4380, loss: 0.0745 2023-02-26 04:05:40,307 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 1:13:36, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0490, decode.acc_seg: 97.9319, aux.loss_ce: 0.0252, aux.acc_seg: 97.3964, loss: 0.0742 2023-02-26 04:06:27,511 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 1:12:46, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0478, decode.acc_seg: 97.9751, aux.loss_ce: 0.0244, aux.acc_seg: 97.4774, loss: 0.0722 2023-02-26 04:07:14,708 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 1:11:56, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0483, decode.acc_seg: 97.9912, aux.loss_ce: 0.0254, aux.acc_seg: 97.4159, loss: 0.0737 2023-02-26 04:08:01,936 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 1:11:07, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0443, aux.loss_ce: 0.0246, aux.acc_seg: 97.4540, loss: 0.0710 2023-02-26 04:08:49,090 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 1:10:17, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0445, decode.acc_seg: 98.1043, aux.loss_ce: 0.0251, aux.acc_seg: 97.3971, loss: 0.0696 2023-02-26 04:09:36,310 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 1:09:27, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0255, aux.loss_ce: 0.0241, aux.acc_seg: 97.5393, loss: 0.0713 2023-02-26 04:10:23,556 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 1:08:38, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0544, aux.loss_ce: 0.0245, aux.acc_seg: 97.4549, loss: 0.0707 2023-02-26 04:11:13,132 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 1:07:48, time: 0.992, data_time: 0.054, memory: 19374, decode.loss_ce: 0.0443, decode.acc_seg: 98.1185, aux.loss_ce: 0.0242, aux.acc_seg: 97.5036, loss: 0.0684 2023-02-26 04:12:00,341 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 1:06:58, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0473, decode.acc_seg: 98.0346, aux.loss_ce: 0.0246, aux.acc_seg: 97.5133, loss: 0.0719 2023-02-26 04:12:47,539 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 04:12:47,539 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 1:06:09, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0457, decode.acc_seg: 98.0497, aux.loss_ce: 0.0253, aux.acc_seg: 97.4149, loss: 0.0710 2023-02-26 04:13:34,843 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 1:05:19, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0164, aux.loss_ce: 0.0250, aux.acc_seg: 97.4398, loss: 0.0724 2023-02-26 04:14:22,724 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 1:04:29, time: 0.957, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0442, decode.acc_seg: 98.1396, aux.loss_ce: 0.0237, aux.acc_seg: 97.5808, loss: 0.0679 2023-02-26 04:15:10,627 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 1:03:40, time: 0.958, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0394, aux.loss_ce: 0.0249, aux.acc_seg: 97.4621, loss: 0.0721 2023-02-26 04:15:58,167 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 1:02:50, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9780, aux.loss_ce: 0.0246, aux.acc_seg: 97.4846, loss: 0.0727 2023-02-26 04:16:47,786 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 1:02:00, time: 0.992, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0446, decode.acc_seg: 98.1092, aux.loss_ce: 0.0233, aux.acc_seg: 97.5860, loss: 0.0678 2023-02-26 04:17:34,949 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 1:01:11, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0499, decode.acc_seg: 97.8975, aux.loss_ce: 0.0257, aux.acc_seg: 97.3766, loss: 0.0756 2023-02-26 04:18:22,736 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 1:00:21, time: 0.956, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9951, aux.loss_ce: 0.0251, aux.acc_seg: 97.4431, loss: 0.0731 2023-02-26 04:19:10,646 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 0:59:31, time: 0.958, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0245, aux.loss_ce: 0.0249, aux.acc_seg: 97.4526, loss: 0.0719 2023-02-26 04:19:57,866 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 0:58:42, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0456, decode.acc_seg: 98.0780, aux.loss_ce: 0.0242, aux.acc_seg: 97.5129, loss: 0.0698 2023-02-26 04:20:45,058 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 0:57:52, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9636, aux.loss_ce: 0.0253, aux.acc_seg: 97.3858, loss: 0.0738 2023-02-26 04:21:32,347 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 0:57:02, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.0878, aux.loss_ce: 0.0251, aux.acc_seg: 97.4096, loss: 0.0704 2023-02-26 04:22:19,670 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 0:56:13, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 98.0204, aux.loss_ce: 0.0253, aux.acc_seg: 97.4321, loss: 0.0728 2023-02-26 04:23:09,769 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 0:55:23, time: 1.002, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0108, aux.loss_ce: 0.0258, aux.acc_seg: 97.3634, loss: 0.0728 2023-02-26 04:23:57,031 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 0:54:33, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0439, decode.acc_seg: 98.1307, aux.loss_ce: 0.0241, aux.acc_seg: 97.5115, loss: 0.0680 2023-02-26 04:24:44,243 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 0:53:44, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0480, decode.acc_seg: 97.9771, aux.loss_ce: 0.0257, aux.acc_seg: 97.3612, loss: 0.0737 2023-02-26 04:25:31,403 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 0:52:54, time: 0.943, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0472, decode.acc_seg: 98.0162, aux.loss_ce: 0.0249, aux.acc_seg: 97.4383, loss: 0.0721 2023-02-26 04:26:18,594 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 0:52:05, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0459, decode.acc_seg: 98.0468, aux.loss_ce: 0.0244, aux.acc_seg: 97.4629, loss: 0.0703 2023-02-26 04:27:05,775 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:51:15, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.0936, aux.loss_ce: 0.0236, aux.acc_seg: 97.5779, loss: 0.0689 2023-02-26 04:27:53,383 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:50:25, time: 0.952, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0474, decode.acc_seg: 97.9881, aux.loss_ce: 0.0245, aux.acc_seg: 97.4519, loss: 0.0719 2023-02-26 04:28:42,992 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 04:28:42,992 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:49:36, time: 0.992, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 97.9999, aux.loss_ce: 0.0249, aux.acc_seg: 97.4274, loss: 0.0718 2023-02-26 04:29:30,492 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:48:46, time: 0.950, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0500, decode.acc_seg: 97.9116, aux.loss_ce: 0.0266, aux.acc_seg: 97.2885, loss: 0.0766 2023-02-26 04:30:17,697 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:47:56, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0319, aux.loss_ce: 0.0252, aux.acc_seg: 97.3963, loss: 0.0717 2023-02-26 04:31:05,086 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:47:07, time: 0.948, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0443, decode.acc_seg: 98.1532, aux.loss_ce: 0.0241, aux.acc_seg: 97.5457, loss: 0.0685 2023-02-26 04:31:52,907 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:46:17, time: 0.956, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0470, decode.acc_seg: 98.0229, aux.loss_ce: 0.0252, aux.acc_seg: 97.4257, loss: 0.0722 2023-02-26 04:32:40,150 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:45:27, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9732, aux.loss_ce: 0.0252, aux.acc_seg: 97.4028, loss: 0.0729 2023-02-26 04:33:27,420 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:44:38, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0441, decode.acc_seg: 98.1365, aux.loss_ce: 0.0247, aux.acc_seg: 97.4878, loss: 0.0689 2023-02-26 04:34:14,543 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:43:48, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0492, aux.loss_ce: 0.0246, aux.acc_seg: 97.4522, loss: 0.0711 2023-02-26 04:35:04,222 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:42:59, time: 0.994, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0522, aux.loss_ce: 0.0255, aux.acc_seg: 97.3803, loss: 0.0715 2023-02-26 04:35:51,482 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:42:09, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0431, decode.acc_seg: 98.1401, aux.loss_ce: 0.0231, aux.acc_seg: 97.5650, loss: 0.0662 2023-02-26 04:36:39,047 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:41:19, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0443, decode.acc_seg: 98.1231, aux.loss_ce: 0.0243, aux.acc_seg: 97.4795, loss: 0.0685 2023-02-26 04:37:26,571 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:40:30, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0444, decode.acc_seg: 98.1330, aux.loss_ce: 0.0249, aux.acc_seg: 97.4477, loss: 0.0692 2023-02-26 04:38:14,186 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:39:40, time: 0.952, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.0992, aux.loss_ce: 0.0244, aux.acc_seg: 97.5097, loss: 0.0696 2023-02-26 04:39:02,091 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:38:50, time: 0.958, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0496, decode.acc_seg: 97.9532, aux.loss_ce: 0.0257, aux.acc_seg: 97.4015, loss: 0.0754 2023-02-26 04:39:49,962 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:38:01, time: 0.957, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9816, aux.loss_ce: 0.0251, aux.acc_seg: 97.4331, loss: 0.0733 2023-02-26 04:40:39,764 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:37:11, time: 0.996, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0755, aux.loss_ce: 0.0242, aux.acc_seg: 97.5073, loss: 0.0703 2023-02-26 04:41:26,978 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:36:22, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9893, aux.loss_ce: 0.0247, aux.acc_seg: 97.4732, loss: 0.0726 2023-02-26 04:42:14,436 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:35:32, time: 0.949, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0596, aux.loss_ce: 0.0239, aux.acc_seg: 97.5765, loss: 0.0705 2023-02-26 04:43:01,999 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:34:42, time: 0.952, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0433, decode.acc_seg: 98.1776, aux.loss_ce: 0.0233, aux.acc_seg: 97.6063, loss: 0.0666 2023-02-26 04:43:49,188 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:33:53, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 98.0034, aux.loss_ce: 0.0258, aux.acc_seg: 97.3808, loss: 0.0737 2023-02-26 04:44:36,470 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 04:44:36,471 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:33:03, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0487, decode.acc_seg: 97.9675, aux.loss_ce: 0.0260, aux.acc_seg: 97.3474, loss: 0.0747 2023-02-26 04:45:23,858 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:32:13, time: 0.947, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0287, aux.loss_ce: 0.0248, aux.acc_seg: 97.4523, loss: 0.0717 2023-02-26 04:46:11,141 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:31:24, time: 0.946, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0435, decode.acc_seg: 98.1523, aux.loss_ce: 0.0241, aux.acc_seg: 97.5181, loss: 0.0676 2023-02-26 04:47:01,581 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:30:34, time: 1.008, data_time: 0.055, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0386, aux.loss_ce: 0.0246, aux.acc_seg: 97.4837, loss: 0.0712 2023-02-26 04:47:49,658 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:29:45, time: 0.962, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0454, decode.acc_seg: 98.1025, aux.loss_ce: 0.0246, aux.acc_seg: 97.5149, loss: 0.0700 2023-02-26 04:48:37,707 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:28:55, time: 0.961, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0466, decode.acc_seg: 98.0555, aux.loss_ce: 0.0241, aux.acc_seg: 97.5386, loss: 0.0707 2023-02-26 04:49:25,782 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:28:05, time: 0.962, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0446, decode.acc_seg: 98.1026, aux.loss_ce: 0.0237, aux.acc_seg: 97.5355, loss: 0.0683 2023-02-26 04:50:13,627 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:27:16, time: 0.957, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9689, aux.loss_ce: 0.0256, aux.acc_seg: 97.3625, loss: 0.0738 2023-02-26 04:51:00,788 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:26:26, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0039, aux.loss_ce: 0.0248, aux.acc_seg: 97.4683, loss: 0.0723 2023-02-26 04:51:47,990 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:25:37, time: 0.944, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0257, aux.loss_ce: 0.0251, aux.acc_seg: 97.4260, loss: 0.0719 2023-02-26 04:52:38,092 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:24:47, time: 1.002, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0488, decode.acc_seg: 97.9426, aux.loss_ce: 0.0246, aux.acc_seg: 97.4859, loss: 0.0733 2023-02-26 04:53:25,940 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:23:57, time: 0.957, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.1118, aux.loss_ce: 0.0232, aux.acc_seg: 97.6248, loss: 0.0684 2023-02-26 04:54:13,792 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:23:08, time: 0.957, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0486, decode.acc_seg: 97.9492, aux.loss_ce: 0.0253, aux.acc_seg: 97.4029, loss: 0.0739 2023-02-26 04:55:01,630 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:22:18, time: 0.957, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0469, decode.acc_seg: 98.0189, aux.loss_ce: 0.0253, aux.acc_seg: 97.3908, loss: 0.0722 2023-02-26 04:55:49,164 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:21:29, time: 0.951, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0453, decode.acc_seg: 98.1062, aux.loss_ce: 0.0246, aux.acc_seg: 97.4936, loss: 0.0699 2023-02-26 04:56:36,477 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:20:39, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0504, decode.acc_seg: 97.8972, aux.loss_ce: 0.0258, aux.acc_seg: 97.3616, loss: 0.0762 2023-02-26 04:57:23,839 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:19:49, time: 0.947, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0441, decode.acc_seg: 98.1376, aux.loss_ce: 0.0248, aux.acc_seg: 97.4379, loss: 0.0689 2023-02-26 04:58:13,543 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:19:00, time: 0.994, data_time: 0.056, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0014, aux.loss_ce: 0.0246, aux.acc_seg: 97.4664, loss: 0.0721 2023-02-26 04:59:00,850 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:18:10, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0482, decode.acc_seg: 97.9687, aux.loss_ce: 0.0261, aux.acc_seg: 97.3066, loss: 0.0743 2023-02-26 04:59:48,119 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:17:21, time: 0.945, data_time: 0.008, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0352, aux.loss_ce: 0.0245, aux.acc_seg: 97.4746, loss: 0.0707 2023-02-26 05:00:35,368 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 05:00:35,368 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:16:31, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0460, decode.acc_seg: 98.0771, aux.loss_ce: 0.0250, aux.acc_seg: 97.4602, loss: 0.0709 2023-02-26 05:01:22,573 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:15:41, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0493, decode.acc_seg: 97.8952, aux.loss_ce: 0.0257, aux.acc_seg: 97.3264, loss: 0.0750 2023-02-26 05:02:09,764 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:14:52, time: 0.944, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0501, decode.acc_seg: 97.8877, aux.loss_ce: 0.0257, aux.acc_seg: 97.3570, loss: 0.0758 2023-02-26 05:02:56,832 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:14:02, time: 0.941, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0485, decode.acc_seg: 97.9596, aux.loss_ce: 0.0250, aux.acc_seg: 97.4430, loss: 0.0735 2023-02-26 05:03:43,935 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:13:13, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0479, decode.acc_seg: 97.9750, aux.loss_ce: 0.0242, aux.acc_seg: 97.4927, loss: 0.0721 2023-02-26 05:04:33,433 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:12:23, time: 0.990, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0560, aux.loss_ce: 0.0240, aux.acc_seg: 97.5259, loss: 0.0701 2023-02-26 05:05:20,727 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:11:34, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0477, decode.acc_seg: 97.9874, aux.loss_ce: 0.0254, aux.acc_seg: 97.3797, loss: 0.0731 2023-02-26 05:06:08,133 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:10:44, time: 0.948, data_time: 0.010, memory: 19374, decode.loss_ce: 0.0463, decode.acc_seg: 98.0441, aux.loss_ce: 0.0238, aux.acc_seg: 97.5367, loss: 0.0702 2023-02-26 05:06:55,784 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:09:54, time: 0.953, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0468, decode.acc_seg: 98.0163, aux.loss_ce: 0.0248, aux.acc_seg: 97.4453, loss: 0.0716 2023-02-26 05:07:43,344 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:09:05, time: 0.951, data_time: 0.009, memory: 19374, decode.loss_ce: 0.0462, decode.acc_seg: 98.0458, aux.loss_ce: 0.0242, aux.acc_seg: 97.4908, loss: 0.0704 2023-02-26 05:08:30,621 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:08:15, time: 0.946, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0454, decode.acc_seg: 98.0964, aux.loss_ce: 0.0246, aux.acc_seg: 97.4893, loss: 0.0700 2023-02-26 05:09:17,889 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:07:26, time: 0.945, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0467, decode.acc_seg: 98.0145, aux.loss_ce: 0.0248, aux.acc_seg: 97.4134, loss: 0.0715 2023-02-26 05:10:07,591 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:06:36, time: 0.994, data_time: 0.057, memory: 19374, decode.loss_ce: 0.0461, decode.acc_seg: 98.0561, aux.loss_ce: 0.0248, aux.acc_seg: 97.4485, loss: 0.0710 2023-02-26 05:10:54,702 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:05:47, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0475, decode.acc_seg: 98.0051, aux.loss_ce: 0.0256, aux.acc_seg: 97.3889, loss: 0.0731 2023-02-26 05:11:41,818 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:04:57, time: 0.942, data_time: 0.006, memory: 19374, decode.loss_ce: 0.0491, decode.acc_seg: 97.9267, aux.loss_ce: 0.0256, aux.acc_seg: 97.3729, loss: 0.0747 2023-02-26 05:12:28,938 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:04:07, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0446, decode.acc_seg: 98.1272, aux.loss_ce: 0.0247, aux.acc_seg: 97.4913, loss: 0.0692 2023-02-26 05:13:16,041 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:03:18, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0465, decode.acc_seg: 98.0461, aux.loss_ce: 0.0246, aux.acc_seg: 97.4656, loss: 0.0712 2023-02-26 05:14:03,204 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:02:28, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0498, decode.acc_seg: 97.9236, aux.loss_ce: 0.0259, aux.acc_seg: 97.3614, loss: 0.0757 2023-02-26 05:14:50,361 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:01:39, time: 0.943, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0464, decode.acc_seg: 98.0411, aux.loss_ce: 0.0242, aux.acc_seg: 97.4963, loss: 0.0707 2023-02-26 05:15:37,459 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:49, time: 0.942, data_time: 0.007, memory: 19374, decode.loss_ce: 0.0452, decode.acc_seg: 98.0949, aux.loss_ce: 0.0256, aux.acc_seg: 97.3791, loss: 0.0708 2023-02-26 05:16:27,018 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-02-26 05:16:33,195 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 05:16:33,195 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 1.115, data_time: 0.053, memory: 19374, decode.loss_ce: 0.0476, decode.acc_seg: 98.0042, aux.loss_ce: 0.0243, aux.acc_seg: 97.5124, loss: 0.0719 2023-02-26 05:17:55,952 - mmseg - INFO - per class results: 2023-02-26 05:17:55,954 - mmseg - INFO - +---------------+-------+-------+ | Class | IoU | Acc | +---------------+-------+-------+ | road | 98.57 | 99.13 | | sidewalk | 88.25 | 94.59 | | building | 93.72 | 97.29 | | wall | 60.09 | 66.15 | | fence | 64.85 | 72.02 | | pole | 71.45 | 81.58 | | traffic light | 77.27 | 87.69 | | traffic sign | 84.33 | 90.42 | | vegetation | 93.41 | 97.0 | | terrain | 68.35 | 75.46 | | sky | 95.52 | 98.66 | | person | 86.36 | 93.79 | | rider | 69.4 | 79.08 | | car | 96.15 | 98.44 | | truck | 84.96 | 88.44 | | bus | 95.04 | 96.82 | | train | 91.07 | 92.89 | | motorcycle | 75.09 | 84.56 | | bicycle | 82.23 | 92.57 | +---------------+-------+-------+ 2023-02-26 05:17:55,954 - mmseg - INFO - Summary: 2023-02-26 05:17:55,954 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 96.83 | 82.95 | 88.77 | +-------+-------+-------+ 2023-02-26 05:17:55,956 - mmseg - INFO - The previous best checkpoint /apdcephfs/share_1364275/yuanfengji/project/DiffSeg/local_work_dirs/cityscapes_final/deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20/best_mIoU_iter_144000.pth was removed 2023-02-26 05:18:02,076 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. 2023-02-26 05:18:02,077 - mmseg - INFO - Best mIoU is 0.8295 at 160000 iter. 2023-02-26 05:18:02,077 - mmseg - INFO - Exp name: deform_convnext_l_fpn_4x4_512x1024_160k_cityscapes_adam_diffv20.py 2023-02-26 05:18:02,078 - mmseg - INFO - Iter(val) [125] aAcc: 0.9683, mIoU: 0.8295, mAcc: 0.8877, IoU.road: 0.9857, IoU.sidewalk: 0.8825, IoU.building: 0.9372, IoU.wall: 0.6009, IoU.fence: 0.6485, IoU.pole: 0.7145, IoU.traffic light: 0.7727, IoU.traffic sign: 0.8433, IoU.vegetation: 0.9341, IoU.terrain: 0.6835, IoU.sky: 0.9552, IoU.person: 0.8636, IoU.rider: 0.6940, IoU.car: 0.9615, IoU.truck: 0.8496, IoU.bus: 0.9504, IoU.train: 0.9107, IoU.motorcycle: 0.7509, IoU.bicycle: 0.8223, Acc.road: 0.9913, Acc.sidewalk: 0.9459, Acc.building: 0.9729, Acc.wall: 0.6615, Acc.fence: 0.7202, Acc.pole: 0.8158, Acc.traffic light: 0.8769, Acc.traffic sign: 0.9042, Acc.vegetation: 0.9700, Acc.terrain: 0.7546, Acc.sky: 0.9866, Acc.person: 0.9379, Acc.rider: 0.7908, Acc.car: 0.9844, Acc.truck: 0.8844, Acc.bus: 0.9682, Acc.train: 0.9289, Acc.motorcycle: 0.8456, Acc.bicycle: 0.9257