2024-01-03 17:29:36,906 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A6000 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - 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 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+a3118f0 ------------------------------------------------------------ 2024-01-03 17:29:36,907 - mmseg - INFO - Distributed training: True 2024-01-03 17:29:36,907 - mmseg - INFO - Config: Config (path: evaluation/configs/vitb_nyu_linear_norm5e-3_config.py): {'custom_imports': {'imports': ['evaluation.depth', 'evaluation.segmentation']}, 'dataset_type': 'NYUDataset', 'data_root': 'data/nyu', 'img_norm_cfg': {'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, 'crop_size': (416, 544), 'train_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'DepthLoadAnnotations'}, {'type': 'NYUCrop', 'depth': True}, {'type': 'RandomRotate', 'prob': 0.5, 'degree': 2.5}, {'type': 'RandomFlip', 'prob': 0.5}, {'type': 'RandomCrop', 'crop_size': (416, 544)}, {'type': 'ColorAug', 'prob': 0.5, 'gamma_range': [0.9, 1.1], 'brightness_range': [0.75, 1.25], 'color_range': [0.9, 1.1]}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'DefaultFormatBundle'}, {'type': 'Collect', 'keys': ['img', 'depth_gt'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'test_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'eval_pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'RandomFlip', 'prob': 0.0}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'data': {'samples_per_gpu': 2, 'workers_per_gpu': 2, 'train': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_train.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'DepthLoadAnnotations'}, {'type': 'NYUCrop', 'depth': True}, {'type': 'RandomRotate', 'prob': 0.5, 'degree': 2.5}, {'type': 'RandomFlip', 'prob': 0.5}, {'type': 'RandomCrop', 'crop_size': (416, 544)}, {'type': 'ColorAug', 'prob': 0.5, 'gamma_range': [0.9, 1.1], 'brightness_range': [0.75, 1.25], 'color_range': [0.9, 1.1]}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'DefaultFormatBundle'}, {'type': 'Collect', 'keys': ['img', 'depth_gt'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}, 'val': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_test.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}, 'test': {'type': 'NYUDataset', 'data_root': 'data/nyu', 'depth_scale': 1000, 'split': 'nyu_test.txt', 'pipeline': [{'type': 'LoadImageFromFile'}, {'type': 'MultiScaleFlipAug', 'img_scale': (480, 640), 'flip': True, 'flip_direction': 'horizontal', 'transforms': [{'type': 'RandomFlip', 'direction': 'horizontal'}, {'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True}, {'type': 'ImageToTensor', 'keys': ['img']}, {'type': 'Collect', 'keys': ['img'], 'meta_keys': ('filename', 'ori_filename', 'ori_shape', 'img_shape', 'pad_shape', 'scale_factor', 'flip', 'flip_direction', 'img_norm_cfg', 'cam_intrinsic')}]}], 'garg_crop': False, 'eigen_crop': True, 'min_depth': 0.001, 'max_depth': 10}}, 'log_config': {'interval': 50, 'hooks': [{'type': 'TextLoggerHook', 'by_epoch': False}]}, 'dist_params': {'backend': 'nccl'}, 'log_level': 'INFO', 'load_from': None, 'resume_from': '', 'workflow': [('train', 1)], 'cudnn_benchmark': True, 'model': {'type': 'DepthEncoderDecoder', 'backbone': {'type': 'DinoVisionTransformer', 'final_norm': True, 'with_cls_token': True, 'output_cls_token': True, 'frozen_stages': 100, 'out_indices': [11]}, 'decode_head': {'type': 'BNHead', 'norm_cfg': None, 'min_depth': 0.001, 'max_depth': 10, 'loss_decode': [{'type': 'SigLoss', 'valid_mask': True, 'loss_weight': 1.0, 'warm_up': True, 'loss_name': 'loss_depth'}, {'type': 'GradientLoss', 'valid_mask': True, 'loss_weight': 0.5, 'loss_name': 'loss_grad'}], 'classify': True, 'n_bins': 256, 'bins_strategy': 'UD', 'norm_strategy': 'linear', 'upsample': 4, 'in_channels': [768], 'in_index': [0], 'input_transform': 'resize_concat', 'channels': 1536, 'align_corners': False}, 'train_cfg': {}, 'test_cfg': {'mode': 'whole'}}, 'optimizer': {'type': 'AdamW', 'lr': 0.005, 'betas': (0.9, 0.999), 'weight_decay': 0.01, 'paramwise_cfg': {'custom_keys': {'pos_embed': {'decay_mult': 0.0}, 'cls_token': {'decay_mult': 0.0}, 'norm': {'decay_mult': 0.0}, 'backbone': {'lr_mult': 0.1}}}}, 'lr_config': {'policy': 'CosineAnnealing', 'warmup': 'linear', 'warmup_iters': 12800, 'warmup_ratio': 0.001, 'min_lr_ratio': 1e-08, 'by_epoch': False}, 'momentum_config': {'policy': 'OneCycle'}, 'optimizer_config': {'grad_clip': {'max_norm': 35, 'norm_type': 2}}, 'runner': {'type': 'IterBasedRunner', 'max_iters': 38400}, 'checkpoint_config': {'by_epoch': False, 'max_keep_ckpts': 2, 'interval': 1600}, 'evaluation': {'by_epoch': False, 'interval': 3200, 'pre_eval': True, 'rule': 'less', 'save_best': 'abs_rel', 'greater_keys': ('a1', 'a2', 'a3'), 'less_keys': ('abs_rel', 'rmse')}, 'work_dir': './work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.dino', 'gpu_ids': range(0, 1)} 2024-01-03 17:29:41,761 - mmseg - INFO - Loading backbone from vit_base_patch16_224.dino 2024-01-03 17:29:41,982 - mmseg - INFO - _IncompatibleKeys(missing_keys=['vit.model.cls_token', 'vit.model.pos_embed', 'vit.model.patch_embed.proj.weight', 'vit.model.patch_embed.proj.bias', 'vit.model.blocks.0.norm1.weight', 'vit.model.blocks.0.norm1.bias', 'vit.model.blocks.0.attn.qkv.weight', 'vit.model.blocks.0.attn.qkv.bias', 'vit.model.blocks.0.attn.proj.weight', 'vit.model.blocks.0.attn.proj.bias', 'vit.model.blocks.0.norm2.weight', 'vit.model.blocks.0.norm2.bias', 'vit.model.blocks.0.mlp.fc1.weight', 'vit.model.blocks.0.mlp.fc1.bias', 'vit.model.blocks.0.mlp.fc2.weight', 'vit.model.blocks.0.mlp.fc2.bias', 'vit.model.blocks.1.norm1.weight', 'vit.model.blocks.1.norm1.bias', 'vit.model.blocks.1.attn.qkv.weight', 'vit.model.blocks.1.attn.qkv.bias', 'vit.model.blocks.1.attn.proj.weight', 'vit.model.blocks.1.attn.proj.bias', 'vit.model.blocks.1.norm2.weight', 'vit.model.blocks.1.norm2.bias', 'vit.model.blocks.1.mlp.fc1.weight', 'vit.model.blocks.1.mlp.fc1.bias', 'vit.model.blocks.1.mlp.fc2.weight', 'vit.model.blocks.1.mlp.fc2.bias', 'vit.model.blocks.2.norm1.weight', 'vit.model.blocks.2.norm1.bias', 'vit.model.blocks.2.attn.qkv.weight', 'vit.model.blocks.2.attn.qkv.bias', 'vit.model.blocks.2.attn.proj.weight', 'vit.model.blocks.2.attn.proj.bias', 'vit.model.blocks.2.norm2.weight', 'vit.model.blocks.2.norm2.bias', 'vit.model.blocks.2.mlp.fc1.weight', 'vit.model.blocks.2.mlp.fc1.bias', 'vit.model.blocks.2.mlp.fc2.weight', 'vit.model.blocks.2.mlp.fc2.bias', 'vit.model.blocks.3.norm1.weight', 'vit.model.blocks.3.norm1.bias', 'vit.model.blocks.3.attn.qkv.weight', 'vit.model.blocks.3.attn.qkv.bias', 'vit.model.blocks.3.attn.proj.weight', 'vit.model.blocks.3.attn.proj.bias', 'vit.model.blocks.3.norm2.weight', 'vit.model.blocks.3.norm2.bias', 'vit.model.blocks.3.mlp.fc1.weight', 'vit.model.blocks.3.mlp.fc1.bias', 'vit.model.blocks.3.mlp.fc2.weight', 'vit.model.blocks.3.mlp.fc2.bias', 'vit.model.blocks.4.norm1.weight', 'vit.model.blocks.4.norm1.bias', 'vit.model.blocks.4.attn.qkv.weight', 'vit.model.blocks.4.attn.qkv.bias', 'vit.model.blocks.4.attn.proj.weight', 'vit.model.blocks.4.attn.proj.bias', 'vit.model.blocks.4.norm2.weight', 'vit.model.blocks.4.norm2.bias', 'vit.model.blocks.4.mlp.fc1.weight', 'vit.model.blocks.4.mlp.fc1.bias', 'vit.model.blocks.4.mlp.fc2.weight', 'vit.model.blocks.4.mlp.fc2.bias', 'vit.model.blocks.5.norm1.weight', 'vit.model.blocks.5.norm1.bias', 'vit.model.blocks.5.attn.qkv.weight', 'vit.model.blocks.5.attn.qkv.bias', 'vit.model.blocks.5.attn.proj.weight', 'vit.model.blocks.5.attn.proj.bias', 'vit.model.blocks.5.norm2.weight', 'vit.model.blocks.5.norm2.bias', 'vit.model.blocks.5.mlp.fc1.weight', 'vit.model.blocks.5.mlp.fc1.bias', 'vit.model.blocks.5.mlp.fc2.weight', 'vit.model.blocks.5.mlp.fc2.bias', 'vit.model.blocks.6.norm1.weight', 'vit.model.blocks.6.norm1.bias', 'vit.model.blocks.6.attn.qkv.weight', 'vit.model.blocks.6.attn.qkv.bias', 'vit.model.blocks.6.attn.proj.weight', 'vit.model.blocks.6.attn.proj.bias', 'vit.model.blocks.6.norm2.weight', 'vit.model.blocks.6.norm2.bias', 'vit.model.blocks.6.mlp.fc1.weight', 'vit.model.blocks.6.mlp.fc1.bias', 'vit.model.blocks.6.mlp.fc2.weight', 'vit.model.blocks.6.mlp.fc2.bias', 'vit.model.blocks.7.norm1.weight', 'vit.model.blocks.7.norm1.bias', 'vit.model.blocks.7.attn.qkv.weight', 'vit.model.blocks.7.attn.qkv.bias', 'vit.model.blocks.7.attn.proj.weight', 'vit.model.blocks.7.attn.proj.bias', 'vit.model.blocks.7.norm2.weight', 'vit.model.blocks.7.norm2.bias', 'vit.model.blocks.7.mlp.fc1.weight', 'vit.model.blocks.7.mlp.fc1.bias', 'vit.model.blocks.7.mlp.fc2.weight', 'vit.model.blocks.7.mlp.fc2.bias', 'vit.model.blocks.8.norm1.weight', 'vit.model.blocks.8.norm1.bias', 'vit.model.blocks.8.attn.qkv.weight', 'vit.model.blocks.8.attn.qkv.bias', 'vit.model.blocks.8.attn.proj.weight', 'vit.model.blocks.8.attn.proj.bias', 'vit.model.blocks.8.norm2.weight', 'vit.model.blocks.8.norm2.bias', 'vit.model.blocks.8.mlp.fc1.weight', 'vit.model.blocks.8.mlp.fc1.bias', 'vit.model.blocks.8.mlp.fc2.weight', 'vit.model.blocks.8.mlp.fc2.bias', 'vit.model.blocks.9.norm1.weight', 'vit.model.blocks.9.norm1.bias', 'vit.model.blocks.9.attn.qkv.weight', 'vit.model.blocks.9.attn.qkv.bias', 'vit.model.blocks.9.attn.proj.weight', 'vit.model.blocks.9.attn.proj.bias', 'vit.model.blocks.9.norm2.weight', 'vit.model.blocks.9.norm2.bias', 'vit.model.blocks.9.mlp.fc1.weight', 'vit.model.blocks.9.mlp.fc1.bias', 'vit.model.blocks.9.mlp.fc2.weight', 'vit.model.blocks.9.mlp.fc2.bias', 'vit.model.blocks.10.norm1.weight', 'vit.model.blocks.10.norm1.bias', 'vit.model.blocks.10.attn.qkv.weight', 'vit.model.blocks.10.attn.qkv.bias', 'vit.model.blocks.10.attn.proj.weight', 'vit.model.blocks.10.attn.proj.bias', 'vit.model.blocks.10.norm2.weight', 'vit.model.blocks.10.norm2.bias', 'vit.model.blocks.10.mlp.fc1.weight', 'vit.model.blocks.10.mlp.fc1.bias', 'vit.model.blocks.10.mlp.fc2.weight', 'vit.model.blocks.10.mlp.fc2.bias', 'vit.model.blocks.11.norm1.weight', 'vit.model.blocks.11.norm1.bias', 'vit.model.blocks.11.attn.qkv.weight', 'vit.model.blocks.11.attn.qkv.bias', 'vit.model.blocks.11.attn.proj.weight', 'vit.model.blocks.11.attn.proj.bias', 'vit.model.blocks.11.norm2.weight', 'vit.model.blocks.11.norm2.bias', 'vit.model.blocks.11.mlp.fc1.weight', 'vit.model.blocks.11.mlp.fc1.bias', 'vit.model.blocks.11.mlp.fc2.weight', 'vit.model.blocks.11.mlp.fc2.bias', 'vit.model.norm.weight', 'vit.model.norm.bias'], unexpected_keys=[]) 2024-01-03 17:29:41,984 - mmseg - INFO - pos_embed loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 17:29:41,984 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 17:29:42,008 - mmseg - INFO - DepthEncoderDecoder( (backbone): DinoVisionTransformer() (decode_head): BNHead( align_corners=False (loss_decode): ModuleList( (0): SigLoss() (1): GradientLoss() ) (softmax): Softmax(dim=1) (conv_depth): Conv2d(1536, 256, kernel_size=(1, 1), stride=(1, 1)) (relu): ReLU() (sigmoid): Sigmoid() ) ) 2024-01-03 17:29:42,101 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:29:44,554 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:29:44,554 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.dino 2024-01-03 17:29:44,554 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (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 -------------------- 2024-01-03 17:29:44,554 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:29:44,554 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.dino by HardDiskBackend. 2024-01-03 17:30:03,041 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:17:28, time: 0.121, data_time: 0.005, memory: 809, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.8744 2024-01-03 17:30:05,842 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:56:34, time: 0.056, data_time: 0.004, memory: 809, decode.loss_depth: 0.0738, decode.loss_grad: 0.0000, loss: 0.0738, grad_norm: 0.4696 2024-01-03 17:30:08,579 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:49:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.4137, decode.loss_grad: 0.0000, loss: 0.4137, grad_norm: 0.3198 2024-01-03 17:30:11,334 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:45:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.3573, decode.loss_grad: 0.0000, loss: 0.3573, grad_norm: 0.3442 2024-01-03 17:30:14,087 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:43:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.3051, decode.loss_grad: 0.0000, loss: 0.3051, grad_norm: 0.4618 2024-01-03 17:30:16,848 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:42:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2710, decode.loss_grad: 0.0000, loss: 0.2710, grad_norm: 0.4682 2024-01-03 17:30:19,564 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:40:55, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.2580, decode.loss_grad: 0.0000, loss: 0.2580, grad_norm: 0.4816 2024-01-03 17:30:22,316 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:40:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2353, decode.loss_grad: 0.0000, loss: 0.2353, grad_norm: 0.4325 2024-01-03 17:30:25,204 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:39:40, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.2293, decode.loss_grad: 0.0000, loss: 0.2293, grad_norm: 0.4297 2024-01-03 17:30:27,937 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:39:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2292, decode.loss_grad: 0.0000, loss: 0.2292, grad_norm: 0.4436 2024-01-03 17:30:30,643 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:38:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.2292, decode.loss_grad: 0.0000, loss: 0.2292, grad_norm: 0.3985 2024-01-03 17:30:33,371 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:38:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2159, decode.loss_grad: 0.0000, loss: 0.2159, grad_norm: 0.4085 2024-01-03 17:30:36,091 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:37:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.2187, decode.loss_grad: 0.0000, loss: 0.2187, grad_norm: 0.4093 2024-01-03 17:30:38,811 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:37:32, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.2164, decode.loss_grad: 0.0000, loss: 0.2164, grad_norm: 0.4328 2024-01-03 17:30:41,560 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:37:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2063, decode.loss_grad: 0.0000, loss: 0.2063, grad_norm: 0.4071 2024-01-03 17:30:44,281 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:37:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.2096, decode.loss_grad: 0.0000, loss: 0.2096, grad_norm: 0.3930 2024-01-03 17:30:47,023 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:36:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.3964 2024-01-03 17:30:49,761 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:36:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.3779 2024-01-03 17:30:52,501 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:36:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2012, decode.loss_grad: 0.0000, loss: 0.2012, grad_norm: 0.3934 2024-01-03 17:30:55,244 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:55,244 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:36:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.3802 2024-01-03 17:30:57,999 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:36:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1970, decode.loss_grad: 0.0000, loss: 0.1970, grad_norm: 0.3817 2024-01-03 17:31:00,710 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:36:00, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.3668 2024-01-03 17:31:03,453 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:35:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1947, decode.loss_grad: 0.0000, loss: 0.1947, grad_norm: 0.3705 2024-01-03 17:31:06,188 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:35:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1885, decode.loss_grad: 0.0000, loss: 0.1885, grad_norm: 0.3676 2024-01-03 17:31:09,064 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:35:42, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.3417 2024-01-03 17:31:11,785 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:35:34, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1862, decode.loss_grad: 0.0000, loss: 0.1862, grad_norm: 0.3244 2024-01-03 17:31:14,537 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:35:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.3399 2024-01-03 17:31:17,290 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:35:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1897, decode.loss_grad: 0.0000, loss: 0.1897, grad_norm: 0.3348 2024-01-03 17:31:20,067 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:35:17, time: 0.056, data_time: 0.003, memory: 809, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.3386 2024-01-03 17:31:22,802 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:35:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.3173 2024-01-03 17:31:27,643 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:35:55, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.3216 2024-01-03 17:31:30,375 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:31:30,390 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:35:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1800, decode.loss_grad: 0.0000, loss: 0.1800, grad_norm: 0.3084 2024-01-03 17:31:33,113 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:35:41, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.3158 2024-01-03 17:31:35,859 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:35:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1782, decode.loss_grad: 0.0000, loss: 0.1782, grad_norm: 0.3089 2024-01-03 17:31:38,610 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:35:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.3086 2024-01-03 17:31:41,345 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:35:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.2892 2024-01-03 17:31:44,079 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:35:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1811, decode.loss_grad: 0.0000, loss: 0.1811, grad_norm: 0.2822 2024-01-03 17:31:46,807 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:35:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1776, decode.loss_grad: 0.0000, loss: 0.1776, grad_norm: 0.2919 2024-01-03 17:31:49,548 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:35:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.2868 2024-01-03 17:31:52,271 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:52,271 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:34:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.2774 2024-01-03 17:31:55,017 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:34:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1742, decode.loss_grad: 0.0000, loss: 0.1742, grad_norm: 0.2746 2024-01-03 17:31:57,737 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:34:47, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.2598 2024-01-03 17:32:00,467 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:34:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.2604 2024-01-03 17:32:03,207 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:34:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.2705 2024-01-03 17:32:05,945 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:34:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1705, decode.loss_grad: 0.0000, loss: 0.1705, grad_norm: 0.2630 2024-01-03 17:32:08,666 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:34:26, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.2586 2024-01-03 17:32:11,388 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:34:21, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.2581 2024-01-03 17:32:14,104 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:34:16, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.2548 2024-01-03 17:32:16,837 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:34:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.2542 2024-01-03 17:32:19,561 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:34:07, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.2485 2024-01-03 17:32:22,301 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:34:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.2429 2024-01-03 17:32:25,051 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:33:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1626, decode.loss_grad: 0.0000, loss: 0.1626, grad_norm: 0.2440 2024-01-03 17:32:27,765 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:33:54, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.2382 2024-01-03 17:32:30,507 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:33:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1668, decode.loss_grad: 0.0000, loss: 0.1668, grad_norm: 0.2378 2024-01-03 17:32:33,302 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:33:46, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.2343 2024-01-03 17:32:36,039 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:33:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1620, decode.loss_grad: 0.0000, loss: 0.1620, grad_norm: 0.2295 2024-01-03 17:32:38,781 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:33:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1610, decode.loss_grad: 0.0000, loss: 0.1610, grad_norm: 0.2201 2024-01-03 17:32:41,532 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:33:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1617, decode.loss_grad: 0.0000, loss: 0.1617, grad_norm: 0.2217 2024-01-03 17:32:44,376 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:33:31, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1601, decode.loss_grad: 0.0000, loss: 0.1601, grad_norm: 0.2184 2024-01-03 17:32:47,081 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:47,081 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:33:27, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1597, decode.loss_grad: 0.0000, loss: 0.1597, grad_norm: 0.2109 2024-01-03 17:32:51,883 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:33:47, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1579, decode.loss_grad: 0.0000, loss: 0.1579, grad_norm: 0.2100 2024-01-03 17:32:54,616 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:33:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1616, decode.loss_grad: 0.0000, loss: 0.1616, grad_norm: 0.2079 2024-01-03 17:32:57,344 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:33:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.2215 2024-01-03 17:33:00,089 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:33:00,099 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:33:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.2103 2024-01-03 17:33:15,685 - mmseg - INFO - Summary: 2024-01-03 17:33:15,686 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.7099 | 0.937 | 0.9853 | 0.1951 | 0.5998 | 0.077 | 0.22 | 17.4537 | 0.1589 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:33:15,702 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:33:15,703 - mmseg - INFO - Best abs_rel is 0.1951 at 3200 iter. 2024-01-03 17:33:15,703 - mmseg - INFO - Iter(val) [82] a1: 0.7099, a2: 0.9370, a3: 0.9853, abs_rel: 0.19508863985538483, rmse: 0.5997990369796753, log_10: 0.07699809223413467, rmse_log: 0.22004951536655426, silog: 17.4537, sq_rel: 0.15893594920635223 2024-01-03 17:33:18,438 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:36:18, time: 0.367, data_time: 0.314, memory: 809, decode.loss_depth: 0.1575, decode.loss_grad: 0.0000, loss: 0.1575, grad_norm: 0.1952 2024-01-03 17:33:21,164 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:36:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1592, decode.loss_grad: 0.0000, loss: 0.1592, grad_norm: 0.2007 2024-01-03 17:33:23,908 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:36:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.2074 2024-01-03 17:33:26,702 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:35:58, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1624, decode.loss_grad: 0.0000, loss: 0.1624, grad_norm: 0.2092 2024-01-03 17:33:29,413 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:35:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.1900 2024-01-03 17:33:32,135 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:35:45, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1580, decode.loss_grad: 0.0000, loss: 0.1580, grad_norm: 0.1980 2024-01-03 17:33:34,831 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:35:38, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1578, decode.loss_grad: 0.0000, loss: 0.1578, grad_norm: 0.1920 2024-01-03 17:33:37,574 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:35:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1583, decode.loss_grad: 0.0000, loss: 0.1583, grad_norm: 0.1910 2024-01-03 17:33:40,292 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:35:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1531, decode.loss_grad: 0.0000, loss: 0.1531, grad_norm: 0.1880 2024-01-03 17:33:43,017 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:35:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1592, decode.loss_grad: 0.0000, loss: 0.1592, grad_norm: 0.1925 2024-01-03 17:33:45,762 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:35:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1538, decode.loss_grad: 0.0000, loss: 0.1538, grad_norm: 0.1735 2024-01-03 17:33:48,504 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:35:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1578, decode.loss_grad: 0.0000, loss: 0.1578, grad_norm: 0.1816 2024-01-03 17:33:51,233 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:35:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1587, decode.loss_grad: 0.0000, loss: 0.1587, grad_norm: 0.1885 2024-01-03 17:33:53,950 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:34:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.1788 2024-01-03 17:33:56,638 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:34:50, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1568, decode.loss_grad: 0.0000, loss: 0.1568, grad_norm: 0.1847 2024-01-03 17:33:59,377 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:59,378 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:34:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1535, decode.loss_grad: 0.0000, loss: 0.1535, grad_norm: 0.1775 2024-01-03 17:34:02,110 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:34:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1528, decode.loss_grad: 0.0000, loss: 0.1528, grad_norm: 0.1733 2024-01-03 17:34:04,827 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:34:33, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1539, decode.loss_grad: 0.0000, loss: 0.1539, grad_norm: 0.1750 2024-01-03 17:34:07,572 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:34:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1563, decode.loss_grad: 0.0000, loss: 0.1563, grad_norm: 0.1753 2024-01-03 17:34:10,272 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:34:22, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1545, decode.loss_grad: 0.0000, loss: 0.1545, grad_norm: 0.1647 2024-01-03 17:34:13,007 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:34:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1492, decode.loss_grad: 0.0000, loss: 0.1492, grad_norm: 0.1563 2024-01-03 17:34:15,728 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:34:11, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.1635 2024-01-03 17:34:18,448 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:34:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.1619 2024-01-03 17:34:21,179 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:34:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1531, decode.loss_grad: 0.0000, loss: 0.1531, grad_norm: 0.1558 2024-01-03 17:34:23,897 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:33:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.1515 2024-01-03 17:34:26,594 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:33:50, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1518, decode.loss_grad: 0.0000, loss: 0.1518, grad_norm: 0.1552 2024-01-03 17:34:31,389 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:34:01, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1485, decode.loss_grad: 0.0000, loss: 0.1485, grad_norm: 0.1528 2024-01-03 17:34:34,097 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:33:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1507, decode.loss_grad: 0.0000, loss: 0.1507, grad_norm: 0.1566 2024-01-03 17:34:36,838 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:33:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1525, decode.loss_grad: 0.0000, loss: 0.1525, grad_norm: 0.1574 2024-01-03 17:34:39,594 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:33:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1525, decode.loss_grad: 0.0000, loss: 0.1525, grad_norm: 0.1473 2024-01-03 17:34:42,290 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:33:41, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1501, decode.loss_grad: 0.0000, loss: 0.1501, grad_norm: 0.1503 2024-01-03 17:34:45,031 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:34:45,044 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:33:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1493, decode.loss_grad: 0.0000, loss: 0.1493, grad_norm: 0.1492 2024-01-03 17:34:47,772 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:33:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1532, decode.loss_grad: 0.0000, loss: 0.1532, grad_norm: 0.1521 2024-01-03 17:34:50,553 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:33:26, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1473, decode.loss_grad: 0.0000, loss: 0.1473, grad_norm: 0.1405 2024-01-03 17:34:53,279 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:33:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1468, decode.loss_grad: 0.0000, loss: 0.1468, grad_norm: 0.1391 2024-01-03 17:34:56,004 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:56,005 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:33:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.1438 2024-01-03 17:34:58,747 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:33:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1430, decode.loss_grad: 0.0000, loss: 0.1430, grad_norm: 0.1378 2024-01-03 17:35:01,546 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:33:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1493, decode.loss_grad: 0.0000, loss: 0.1493, grad_norm: 0.1415 2024-01-03 17:35:04,268 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:33:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.1413 2024-01-03 17:35:07,015 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:32:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1512, decode.loss_grad: 0.0000, loss: 0.1512, grad_norm: 0.1356 2024-01-03 17:35:09,885 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:32:55, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1488, decode.loss_grad: 0.0000, loss: 0.1488, grad_norm: 0.1392 2024-01-03 17:35:12,585 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:32:50, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1500, decode.loss_grad: 0.0000, loss: 0.1500, grad_norm: 0.1366 2024-01-03 17:35:15,316 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:32:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1458, decode.loss_grad: 0.0000, loss: 0.1458, grad_norm: 0.1335 2024-01-03 17:35:18,042 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:32:41, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1477, decode.loss_grad: 0.0000, loss: 0.1477, grad_norm: 0.1303 2024-01-03 17:35:20,762 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:32:37, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1471, decode.loss_grad: 0.0000, loss: 0.1471, grad_norm: 0.1322 2024-01-03 17:35:23,488 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:32:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1464, decode.loss_grad: 0.0000, loss: 0.1464, grad_norm: 0.1316 2024-01-03 17:35:26,213 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:32:28, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.1252 2024-01-03 17:35:28,924 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:32:24, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1450, decode.loss_grad: 0.0000, loss: 0.1450, grad_norm: 0.1244 2024-01-03 17:35:31,704 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:32:20, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1470, decode.loss_grad: 0.0000, loss: 0.1470, grad_norm: 0.1298 2024-01-03 17:35:34,432 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:32:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1464, decode.loss_grad: 0.0000, loss: 0.1464, grad_norm: 0.1243 2024-01-03 17:35:37,182 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:32:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1462, decode.loss_grad: 0.0000, loss: 0.1462, grad_norm: 0.1180 2024-01-03 17:35:39,913 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:32:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1442, decode.loss_grad: 0.0000, loss: 0.1442, grad_norm: 0.1231 2024-01-03 17:35:42,650 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:32:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1472, decode.loss_grad: 0.0000, loss: 0.1472, grad_norm: 0.1220 2024-01-03 17:35:45,392 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:31:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1454, decode.loss_grad: 0.0000, loss: 0.1454, grad_norm: 0.1232 2024-01-03 17:35:48,115 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:31:54, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1455, decode.loss_grad: 0.0000, loss: 0.1455, grad_norm: 0.1246 2024-01-03 17:35:50,836 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:50,836 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:31:50, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1474, decode.loss_grad: 0.0000, loss: 0.1474, grad_norm: 0.1239 2024-01-03 17:35:53,593 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:31:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1435, decode.loss_grad: 0.0000, loss: 0.1435, grad_norm: 0.1152 2024-01-03 17:35:58,395 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:31:53, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.1163 2024-01-03 17:36:01,160 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:31:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1415, decode.loss_grad: 0.0000, loss: 0.1415, grad_norm: 0.1114 2024-01-03 17:36:03,868 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:31:45, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.1083 2024-01-03 17:36:06,600 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:31:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1424, decode.loss_grad: 0.0000, loss: 0.1424, grad_norm: 0.1172 2024-01-03 17:36:09,337 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:31:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.1149 2024-01-03 17:36:12,074 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:31:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1441, decode.loss_grad: 0.0000, loss: 0.1441, grad_norm: 0.1170 2024-01-03 17:36:14,819 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:36:14,831 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:31:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1432, decode.loss_grad: 0.0000, loss: 0.1432, grad_norm: 0.1117 2024-01-03 17:36:19,942 - mmseg - INFO - Summary: 2024-01-03 17:36:19,943 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+--------+--------+ | 0.7257 | 0.942 | 0.9871 | 0.1809 | 0.5858 | 0.0742 | 0.2136 | 17.473 | 0.1436 | +--------+-------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:36:19,944 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.dino/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:36:19,954 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:36:19,954 - mmseg - INFO - Best abs_rel is 0.1809 at 6400 iter. 2024-01-03 17:36:19,955 - mmseg - INFO - Iter(val) [82] a1: 0.7257, a2: 0.9420, a3: 0.9871, abs_rel: 0.18087050318717957, rmse: 0.5858412981033325, log_10: 0.0741615891456604, rmse_log: 0.21360260248184204, silog: 17.4730, sq_rel: 0.14362037181854248 2024-01-03 17:36:22,686 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:31:50, time: 0.157, data_time: 0.104, memory: 809, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.1122 2024-01-03 17:36:25,425 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:31:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.1059 2024-01-03 17:36:28,164 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:31:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.1088 2024-01-03 17:36:30,892 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:31:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.1085 2024-01-03 17:36:33,619 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:31:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.1022 2024-01-03 17:36:36,360 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:31:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.1063 2024-01-03 17:36:39,077 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:31:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.1055 2024-01-03 17:36:41,826 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:31:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.0996 2024-01-03 17:36:44,573 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:31:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1428, decode.loss_grad: 0.0000, loss: 0.1428, grad_norm: 0.1085 2024-01-03 17:36:47,312 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:31:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.1060 2024-01-03 17:36:50,051 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:31:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.1039 2024-01-03 17:36:52,766 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:52,766 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:31:04, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0971 2024-01-03 17:36:55,528 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:31:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.0979 2024-01-03 17:36:58,286 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:30:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1407, decode.loss_grad: 0.0000, loss: 0.1407, grad_norm: 0.0996 2024-01-03 17:37:01,011 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:30:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1400, decode.loss_grad: 0.0000, loss: 0.1400, grad_norm: 0.0949 2024-01-03 17:37:03,769 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:30:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1408, decode.loss_grad: 0.0000, loss: 0.1408, grad_norm: 0.0949 2024-01-03 17:37:06,519 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:30:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.0998 2024-01-03 17:37:09,254 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:30:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1407, decode.loss_grad: 0.0000, loss: 0.1407, grad_norm: 0.0911 2024-01-03 17:37:11,973 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:30:37, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0962 2024-01-03 17:37:14,692 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:30:33, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1412, decode.loss_grad: 0.0000, loss: 0.1412, grad_norm: 0.0954 2024-01-03 17:37:17,422 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:30:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0935 2024-01-03 17:37:20,153 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:30:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0959 2024-01-03 17:37:22,900 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:30:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0989 2024-01-03 17:37:27,686 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:30:26, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.0968 2024-01-03 17:37:30,419 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:30:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.0912 2024-01-03 17:37:33,158 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:30:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1375, decode.loss_grad: 0.0000, loss: 0.1375, grad_norm: 0.0891 2024-01-03 17:37:35,837 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:30:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1359, decode.loss_grad: 0.0000, loss: 0.1359, grad_norm: 0.0903 2024-01-03 17:37:38,566 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:30:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1385, decode.loss_grad: 0.0000, loss: 0.1385, grad_norm: 0.0890 2024-01-03 17:37:41,285 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:30:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0880 2024-01-03 17:37:44,045 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:30:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0920 2024-01-03 17:37:46,765 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:29:59, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.0911 2024-01-03 17:37:49,551 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:37:49,563 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:49,563 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:29:55, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0865 2024-01-03 17:37:52,294 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:29:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0900 2024-01-03 17:37:55,020 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:29:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1378, decode.loss_grad: 0.0000, loss: 0.1378, grad_norm: 0.0850 2024-01-03 17:37:57,762 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:29:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1392, decode.loss_grad: 0.0000, loss: 0.1392, grad_norm: 0.0874 2024-01-03 17:38:00,548 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:29:40, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1400, decode.loss_grad: 0.0000, loss: 0.1400, grad_norm: 0.0860 2024-01-03 17:38:03,283 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:29:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0860 2024-01-03 17:38:06,005 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:29:33, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.0825 2024-01-03 17:38:08,728 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:29:29, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.0842 2024-01-03 17:38:11,426 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:29:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0829 2024-01-03 17:38:14,143 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:29:22, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.0797 2024-01-03 17:38:16,893 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:29:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1381, decode.loss_grad: 0.0000, loss: 0.1381, grad_norm: 0.0815 2024-01-03 17:38:19,616 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:29:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1386, decode.loss_grad: 0.0000, loss: 0.1386, grad_norm: 0.0839 2024-01-03 17:38:22,378 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:29:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1379, decode.loss_grad: 0.0000, loss: 0.1379, grad_norm: 0.0813 2024-01-03 17:38:25,136 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:29:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1385, decode.loss_grad: 0.0000, loss: 0.1385, grad_norm: 0.0828 2024-01-03 17:38:27,887 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:29:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1408, decode.loss_grad: 0.0000, loss: 0.1408, grad_norm: 0.0827 2024-01-03 17:38:30,728 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:29:00, time: 0.057, data_time: 0.004, memory: 809, decode.loss_depth: 0.1378, decode.loss_grad: 0.0000, loss: 0.1378, grad_norm: 0.0776 2024-01-03 17:38:33,474 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:28:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1370, decode.loss_grad: 0.0000, loss: 0.1370, grad_norm: 0.0813 2024-01-03 17:38:36,217 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:28:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0790 2024-01-03 17:38:38,991 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:28:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1365, decode.loss_grad: 0.0000, loss: 0.1365, grad_norm: 0.0825 2024-01-03 17:38:41,733 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:28:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0783 2024-01-03 17:38:44,478 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:44,479 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:28:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.0741 2024-01-03 17:38:47,231 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:28:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1345, decode.loss_grad: 0.0000, loss: 0.1345, grad_norm: 0.0753 2024-01-03 17:38:52,341 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:28:43, time: 0.102, data_time: 0.043, memory: 809, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0773 2024-01-03 17:38:55,117 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:28:40, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1353, decode.loss_grad: 0.0000, loss: 0.1353, grad_norm: 0.0751 2024-01-03 17:38:57,837 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:28:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.0752 2024-01-03 17:39:00,557 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:28:32, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1350, decode.loss_grad: 0.0000, loss: 0.1350, grad_norm: 0.0756 2024-01-03 17:39:03,296 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:28:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0758 2024-01-03 17:39:06,038 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:28:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0735 2024-01-03 17:39:08,803 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:28:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1368, decode.loss_grad: 0.0000, loss: 0.1368, grad_norm: 0.0756 2024-01-03 17:39:11,523 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:28:18, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1358, decode.loss_grad: 0.0000, loss: 0.1358, grad_norm: 0.0734 2024-01-03 17:39:14,250 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:28:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1337, decode.loss_grad: 0.0000, loss: 0.1337, grad_norm: 0.0713 2024-01-03 17:39:17,017 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:28:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1330, decode.loss_grad: 0.0000, loss: 0.1330, grad_norm: 0.0722 2024-01-03 17:39:19,761 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:39:19,776 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:28:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0743 2024-01-03 17:39:24,926 - mmseg - INFO - Summary: 2024-01-03 17:39:24,926 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7233 | 0.9426 | 0.9878 | 0.1823 | 0.5905 | 0.0743 | 0.2136 | 17.5941 | 0.1445 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:39:24,927 - mmseg - INFO - Iter(val) [82] a1: 0.7233, a2: 0.9426, a3: 0.9878, abs_rel: 0.18225868046283722, rmse: 0.5905494689941406, log_10: 0.07433126866817474, rmse_log: 0.2135825902223587, silog: 17.5941, sq_rel: 0.14451421797275543 2024-01-03 17:39:27,629 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:28:20, time: 0.157, data_time: 0.105, memory: 809, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0726 2024-01-03 17:39:30,401 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:28:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1360, decode.loss_grad: 0.0000, loss: 0.1360, grad_norm: 0.0725 2024-01-03 17:39:33,124 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:28:12, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.0699 2024-01-03 17:39:35,998 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:28:09, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.0676 2024-01-03 17:39:38,746 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:28:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1374, decode.loss_grad: 0.0000, loss: 0.1374, grad_norm: 0.0710 2024-01-03 17:39:41,477 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:28:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1298, decode.loss_grad: 0.0000, loss: 0.1298, grad_norm: 0.0658 2024-01-03 17:39:44,220 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:27:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0671 2024-01-03 17:39:46,955 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:46,955 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:27:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1342, decode.loss_grad: 0.0000, loss: 0.1342, grad_norm: 0.0699 2024-01-03 17:39:49,678 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:27:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1383, decode.loss_grad: 0.0000, loss: 0.1383, grad_norm: 0.0715 2024-01-03 17:39:52,410 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:27:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0650 2024-01-03 17:39:55,149 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:27:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.0649 2024-01-03 17:39:57,928 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:27:41, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1334, decode.loss_grad: 0.0000, loss: 0.1334, grad_norm: 0.0685 2024-01-03 17:40:00,651 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:27:37, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.0646 2024-01-03 17:40:03,390 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:27:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.0663 2024-01-03 17:40:06,145 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:27:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0640 2024-01-03 17:40:08,879 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:27:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1319, decode.loss_grad: 0.0000, loss: 0.1319, grad_norm: 0.0685 2024-01-03 17:40:11,613 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:27:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0644 2024-01-03 17:40:14,366 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:27:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0619 2024-01-03 17:40:17,147 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:27:17, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0656 2024-01-03 17:40:21,952 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:27:18, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1324, decode.loss_grad: 0.0000, loss: 0.1324, grad_norm: 0.0636 2024-01-03 17:40:24,686 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:27:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0676 2024-01-03 17:40:27,487 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:27:12, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1342, decode.loss_grad: 0.0000, loss: 0.1342, grad_norm: 0.0621 2024-01-03 17:40:30,217 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:27:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1304, decode.loss_grad: 0.0000, loss: 0.1304, grad_norm: 0.0619 2024-01-03 17:40:32,959 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:27:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1296, decode.loss_grad: 0.0000, loss: 0.1296, grad_norm: 0.0626 2024-01-03 17:40:35,683 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:27:01, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1306, decode.loss_grad: 0.0000, loss: 0.1306, grad_norm: 0.0618 2024-01-03 17:40:38,461 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:26:58, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1307, decode.loss_grad: 0.0000, loss: 0.1307, grad_norm: 0.0630 2024-01-03 17:40:41,187 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:26:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1311, decode.loss_grad: 0.0000, loss: 0.1311, grad_norm: 0.0629 2024-01-03 17:40:43,924 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:43,924 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:26:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0599 2024-01-03 17:40:46,670 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:26:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.0603 2024-01-03 17:40:49,459 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:26:44, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0631 2024-01-03 17:40:52,216 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:26:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0611 2024-01-03 17:40:54,958 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:40:54,970 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:26:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1293, decode.loss_grad: 0.0000, loss: 0.1293, grad_norm: 0.0591 2024-01-03 17:40:57,702 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:26:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0592 2024-01-03 17:41:00,440 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:26:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0577 2024-01-03 17:41:03,172 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:26:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.0580 2024-01-03 17:41:05,894 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:26:24, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0595 2024-01-03 17:41:08,787 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:26:21, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1322, decode.loss_grad: 0.0000, loss: 0.1322, grad_norm: 0.0614 2024-01-03 17:41:11,491 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:26:17, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.0589 2024-01-03 17:41:14,200 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:26:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0612 2024-01-03 17:41:16,940 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:26:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1314, decode.loss_grad: 0.0000, loss: 0.1314, grad_norm: 0.0614 2024-01-03 17:41:19,680 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:26:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.0579 2024-01-03 17:41:22,437 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:26:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0623 2024-01-03 17:41:25,161 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:26:00, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0585 2024-01-03 17:41:27,876 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:25:57, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0581 2024-01-03 17:41:30,626 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:25:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1297, decode.loss_grad: 0.0000, loss: 0.1297, grad_norm: 0.0566 2024-01-03 17:41:33,325 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:25:50, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.0563 2024-01-03 17:41:36,046 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:25:47, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1292, decode.loss_grad: 0.0000, loss: 0.1292, grad_norm: 0.0576 2024-01-03 17:41:38,796 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:38,797 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:25:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0543 2024-01-03 17:41:41,564 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:25:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1318, decode.loss_grad: 0.0000, loss: 0.1318, grad_norm: 0.0558 2024-01-03 17:41:44,290 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:25:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1314, decode.loss_grad: 0.0000, loss: 0.1314, grad_norm: 0.0541 2024-01-03 17:41:49,108 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:25:38, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0555 2024-01-03 17:41:51,866 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:25:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0563 2024-01-03 17:41:54,598 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:25:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0571 2024-01-03 17:41:57,343 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:25:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1296, decode.loss_grad: 0.0000, loss: 0.1296, grad_norm: 0.0547 2024-01-03 17:42:00,056 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:25:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.0543 2024-01-03 17:42:02,799 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:25:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0546 2024-01-03 17:42:05,542 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:25:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0540 2024-01-03 17:42:08,287 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:25:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0550 2024-01-03 17:42:11,027 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:25:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1265, decode.loss_grad: 0.0000, loss: 0.1265, grad_norm: 0.0535 2024-01-03 17:42:13,769 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:25:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1278, decode.loss_grad: 0.0000, loss: 0.1278, grad_norm: 0.0530 2024-01-03 17:42:16,500 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:25:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.0550 2024-01-03 17:42:19,256 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:25:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.0525 2024-01-03 17:42:22,128 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:24:58, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1284, decode.loss_grad: 0.0000, loss: 0.1284, grad_norm: 0.0561 2024-01-03 17:42:24,924 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:42:24,939 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:24:55, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0516 2024-01-03 17:42:30,072 - mmseg - INFO - Summary: 2024-01-03 17:42:30,073 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7268 | 0.9409 | 0.9864 | 0.1798 | 0.5849 | 0.0742 | 0.2132 | 17.3668 | 0.1443 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:42:30,074 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.dino/best_abs_rel_iter_6400.pth was removed 2024-01-03 17:42:30,084 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:42:30,084 - mmseg - INFO - Best abs_rel is 0.1798 at 12800 iter. 2024-01-03 17:42:30,084 - mmseg - INFO - Iter(val) [82] a1: 0.7268, a2: 0.9409, a3: 0.9864, abs_rel: 0.17979277670383453, rmse: 0.5849232077598572, log_10: 0.07424759864807129, rmse_log: 0.21317315101623535, silog: 17.3668, sq_rel: 0.14429213106632233 2024-01-03 17:42:32,886 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:25:02, time: 0.159, data_time: 0.105, memory: 809, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0523 2024-01-03 17:42:35,614 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:24:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1279, decode.loss_grad: 0.0000, loss: 0.1279, grad_norm: 0.0509 2024-01-03 17:42:38,323 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:24:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0491 2024-01-03 17:42:41,039 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:41,039 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:24:52, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.0514 2024-01-03 17:42:43,767 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:24:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0530 2024-01-03 17:42:46,489 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:24:46, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.0514 2024-01-03 17:42:49,200 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:24:42, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0519 2024-01-03 17:42:51,937 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:24:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.0506 2024-01-03 17:42:54,681 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:24:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.0495 2024-01-03 17:42:57,418 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:24:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0499 2024-01-03 17:43:00,143 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:24:29, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0532 2024-01-03 17:43:02,882 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:24:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1271, decode.loss_grad: 0.0000, loss: 0.1271, grad_norm: 0.0505 2024-01-03 17:43:05,630 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:24:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0502 2024-01-03 17:43:08,354 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:24:19, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0507 2024-01-03 17:43:11,088 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:24:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0510 2024-01-03 17:43:13,855 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:24:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.0502 2024-01-03 17:43:18,726 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:24:13, time: 0.097, data_time: 0.044, memory: 809, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0472 2024-01-03 17:43:21,456 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:24:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0505 2024-01-03 17:43:24,218 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:24:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0468 2024-01-03 17:43:26,988 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:24:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0504 2024-01-03 17:43:29,717 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:24:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0482 2024-01-03 17:43:32,449 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:23:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0493 2024-01-03 17:43:35,186 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:23:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0485 2024-01-03 17:43:37,942 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:37,942 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:23:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0483 2024-01-03 17:43:40,690 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:23:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.0477 2024-01-03 17:43:43,429 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:23:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0498 2024-01-03 17:43:46,157 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:23:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0482 2024-01-03 17:43:48,974 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:23:37, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0468 2024-01-03 17:43:51,699 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:23:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0500 2024-01-03 17:43:54,433 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:23:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0482 2024-01-03 17:43:57,132 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:23:27, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0455 2024-01-03 17:43:59,865 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:43:59,880 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:23:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0486 2024-01-03 17:44:02,632 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:23:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0465 2024-01-03 17:44:05,376 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:23:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0478 2024-01-03 17:44:08,101 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:23:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0475 2024-01-03 17:44:10,832 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:23:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0476 2024-01-03 17:44:13,567 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:23:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0453 2024-01-03 17:44:16,309 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:23:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0470 2024-01-03 17:44:19,047 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:23:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0461 2024-01-03 17:44:21,782 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:22:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0486 2024-01-03 17:44:24,502 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:22:55, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0472 2024-01-03 17:44:27,236 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:22:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0478 2024-01-03 17:44:29,968 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:22:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0466 2024-01-03 17:44:32,727 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:32,728 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:22:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0462 2024-01-03 17:44:35,436 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:22:42, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0468 2024-01-03 17:44:38,164 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:22:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0457 2024-01-03 17:44:42,972 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:22:39, time: 0.096, data_time: 0.044, memory: 809, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0441 2024-01-03 17:44:45,705 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:22:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0459 2024-01-03 17:44:48,452 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:22:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0457 2024-01-03 17:44:51,218 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:22:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0440 2024-01-03 17:44:53,966 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:22:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0470 2024-01-03 17:44:56,673 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:22:23, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0460 2024-01-03 17:44:59,426 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:22:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0468 2024-01-03 17:45:02,162 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:22:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0466 2024-01-03 17:45:04,901 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:22:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0454 2024-01-03 17:45:07,636 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:22:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0453 2024-01-03 17:45:10,369 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:22:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0450 2024-01-03 17:45:13,110 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:22:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0425 2024-01-03 17:45:15,843 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:22:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0443 2024-01-03 17:45:18,568 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:21:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0467 2024-01-03 17:45:21,298 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:21:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0426 2024-01-03 17:45:24,133 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:21:51, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0444 2024-01-03 17:45:26,876 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:21:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0441 2024-01-03 17:45:29,592 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:45:29,609 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:29,609 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:21:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0454 2024-01-03 17:45:34,725 - mmseg - INFO - Summary: 2024-01-03 17:45:34,726 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+-------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+-------+--------+ | 0.7353 | 0.9446 | 0.9882 | 0.1709 | 0.573 | 0.0725 | 0.2087 | 17.2 | 0.1304 | +--------+--------+--------+---------+-------+--------+----------+-------+--------+ 2024-01-03 17:45:34,728 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_224.dino/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:45:34,736 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 17:45:34,736 - mmseg - INFO - Best abs_rel is 0.1709 at 16000 iter. 2024-01-03 17:45:34,737 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:34,737 - mmseg - INFO - Iter(val) [82] a1: 0.7353, a2: 0.9446, a3: 0.9882, abs_rel: 0.1709269881248474, rmse: 0.5729663968086243, log_10: 0.0724608525633812, rmse_log: 0.2086503654718399, silog: 17.2000, sq_rel: 0.13036096096038818 2024-01-03 17:45:37,455 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:21:49, time: 0.157, data_time: 0.104, memory: 809, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0422 2024-01-03 17:45:40,178 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:21:46, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0431 2024-01-03 17:45:42,913 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:21:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0457 2024-01-03 17:45:45,656 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:21:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0443 2024-01-03 17:45:48,391 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:21:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1201, decode.loss_grad: 0.0000, loss: 0.1201, grad_norm: 0.0430 2024-01-03 17:45:51,109 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:21:33, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0455 2024-01-03 17:45:53,838 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:21:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0449 2024-01-03 17:45:56,601 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:21:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0443 2024-01-03 17:45:59,334 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:21:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0441 2024-01-03 17:46:02,061 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:21:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0431 2024-01-03 17:46:04,882 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:21:17, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0423 2024-01-03 17:46:07,647 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:21:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0442 2024-01-03 17:46:10,379 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:21:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0438 2024-01-03 17:46:15,182 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:21:11, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0419 2024-01-03 17:46:17,954 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:21:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0451 2024-01-03 17:46:20,702 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:21:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0437 2024-01-03 17:46:23,433 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:21:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0441 2024-01-03 17:46:26,156 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:20:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0415 2024-01-03 17:46:28,903 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:20:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0425 2024-01-03 17:46:31,640 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:31,641 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:20:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0432 2024-01-03 17:46:34,393 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:20:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0442 2024-01-03 17:46:37,191 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:20:45, time: 0.056, data_time: 0.003, memory: 809, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0426 2024-01-03 17:46:39,945 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:20:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0450 2024-01-03 17:46:42,702 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:20:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0459 2024-01-03 17:46:45,476 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:20:36, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0422 2024-01-03 17:46:48,369 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:20:33, time: 0.058, data_time: 0.005, memory: 809, decode.loss_depth: 0.1185, decode.loss_grad: 0.0000, loss: 0.1185, grad_norm: 0.0436 2024-01-03 17:46:51,142 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:20:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0424 2024-01-03 17:46:53,886 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:20:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0435 2024-01-03 17:46:56,672 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:20:24, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0443 2024-01-03 17:46:59,434 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:20:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0413 2024-01-03 17:47:02,193 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:20:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0419 2024-01-03 17:47:04,932 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:47:04,946 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:20:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0429 2024-01-03 17:47:07,710 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:20:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0415 2024-01-03 17:47:10,428 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:20:08, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0432 2024-01-03 17:47:13,173 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:20:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0454 2024-01-03 17:47:15,913 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:20:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0417 2024-01-03 17:47:18,779 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:19:59, time: 0.057, data_time: 0.003, memory: 809, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0429 2024-01-03 17:47:21,537 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:19:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0415 2024-01-03 17:47:24,293 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:19:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0438 2024-01-03 17:47:27,048 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:47:27,048 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:19:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0442 2024-01-03 17:47:29,802 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:19:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0425 2024-01-03 17:47:32,547 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:19:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0420 2024-01-03 17:47:35,298 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:19:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0415 2024-01-03 17:47:40,162 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:19:39, time: 0.097, data_time: 0.044, memory: 809, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0400 2024-01-03 17:47:42,876 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:19:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0424 2024-01-03 17:47:45,628 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:19:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0404 2024-01-03 17:47:48,384 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:19:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0414 2024-01-03 17:47:51,172 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:19:27, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0425 2024-01-03 17:47:53,908 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:19:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0430 2024-01-03 17:47:56,656 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:19:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0429 2024-01-03 17:47:59,394 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:19:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0428 2024-01-03 17:48:02,108 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:19:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0423 2024-01-03 17:48:04,838 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:19:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0418 2024-01-03 17:48:07,565 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:19:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0420 2024-01-03 17:48:10,321 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:19:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0415 2024-01-03 17:48:13,090 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:19:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0401 2024-01-03 17:48:15,805 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:18:59, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0406 2024-01-03 17:48:18,559 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:18:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0435 2024-01-03 17:48:21,302 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:18:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0415 2024-01-03 17:48:24,085 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:48:24,085 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:18:50, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0419 2024-01-03 17:48:26,850 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:18:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0416 2024-01-03 17:48:29,600 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:18:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0401 2024-01-03 17:48:32,429 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:18:41, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0412 2024-01-03 17:48:35,153 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:48:35,173 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:18:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0396 2024-01-03 17:48:40,292 - mmseg - INFO - Summary: 2024-01-03 17:48:40,292 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.7336 | 0.9444 | 0.9873 | 0.1788 | 0.577 | 0.0728 | 0.2099 | 17.1791 | 0.1394 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:48:40,292 - mmseg - INFO - Iter(val) [82] a1: 0.7336, a2: 0.9444, a3: 0.9873, abs_rel: 0.17881885170936584, rmse: 0.5769566893577576, log_10: 0.07277657091617584, rmse_log: 0.20991820096969604, silog: 17.1791, sq_rel: 0.13939030468463898 2024-01-03 17:48:43,217 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:18:40, time: 0.161, data_time: 0.104, memory: 809, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0421 2024-01-03 17:48:45,960 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:18:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0422 2024-01-03 17:48:48,689 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:18:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0435 2024-01-03 17:48:51,466 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:18:31, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0410 2024-01-03 17:48:54,407 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:18:28, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0425 2024-01-03 17:48:57,149 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:18:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0405 2024-01-03 17:48:59,913 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:18:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0406 2024-01-03 17:49:02,636 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:18:18, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0418 2024-01-03 17:49:05,401 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:18:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0413 2024-01-03 17:49:10,244 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:18:14, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0409 2024-01-03 17:49:13,024 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:18:11, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0404 2024-01-03 17:49:15,817 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:18:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0418 2024-01-03 17:49:18,585 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:18:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0394 2024-01-03 17:49:21,350 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:18:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0435 2024-01-03 17:49:24,340 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:17:59, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0415 2024-01-03 17:49:27,091 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:49:27,091 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:17:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0416 2024-01-03 17:49:29,853 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:17:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0417 2024-01-03 17:49:32,619 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:17:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0390 2024-01-03 17:49:35,386 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:17:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0398 2024-01-03 17:49:38,136 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:17:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0414 2024-01-03 17:49:40,879 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:17:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0417 2024-01-03 17:49:43,608 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:17:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0431 2024-01-03 17:49:46,391 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:17:34, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0407 2024-01-03 17:49:49,180 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:17:31, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0406 2024-01-03 17:49:51,949 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:17:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0404 2024-01-03 17:49:54,729 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:17:25, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0399 2024-01-03 17:49:57,531 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:17:22, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0431 2024-01-03 17:50:00,283 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:17:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0409 2024-01-03 17:50:03,032 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:17:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0412 2024-01-03 17:50:05,793 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:17:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0404 2024-01-03 17:50:08,605 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:17:10, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0392 2024-01-03 17:50:11,386 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:50:11,397 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:17:07, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0411 2024-01-03 17:50:14,156 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:17:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0388 2024-01-03 17:50:16,898 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:17:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0415 2024-01-03 17:50:19,702 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:16:58, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0411 2024-01-03 17:50:22,451 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:50:22,451 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:16:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0430 2024-01-03 17:50:25,256 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:16:52, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0393 2024-01-03 17:50:27,992 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:16:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0406 2024-01-03 17:50:30,744 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:16:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0407 2024-01-03 17:50:35,608 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:16:44, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0415 2024-01-03 17:50:38,349 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:16:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1092, decode.loss_grad: 0.0000, loss: 0.1092, grad_norm: 0.0415 2024-01-03 17:50:41,127 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:16:38, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0420 2024-01-03 17:50:43,861 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:16:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0398 2024-01-03 17:50:46,609 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:16:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1097, decode.loss_grad: 0.0000, loss: 0.1097, grad_norm: 0.0406 2024-01-03 17:50:49,424 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:16:29, time: 0.056, data_time: 0.003, memory: 809, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0419 2024-01-03 17:50:52,172 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:16:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0412 2024-01-03 17:50:54,892 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:16:23, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0400 2024-01-03 17:50:57,645 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:16:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1076, decode.loss_grad: 0.0000, loss: 0.1076, grad_norm: 0.0394 2024-01-03 17:51:00,427 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:16:17, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0394 2024-01-03 17:51:03,176 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:16:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0414 2024-01-03 17:51:05,940 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:16:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0403 2024-01-03 17:51:08,684 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:16:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1082, decode.loss_grad: 0.0000, loss: 0.1082, grad_norm: 0.0412 2024-01-03 17:51:11,577 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:16:05, time: 0.058, data_time: 0.004, memory: 809, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0390 2024-01-03 17:51:14,318 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:16:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0412 2024-01-03 17:51:17,069 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:15:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1093, decode.loss_grad: 0.0000, loss: 0.1093, grad_norm: 0.0395 2024-01-03 17:51:19,813 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:51:19,814 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:15:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1085, decode.loss_grad: 0.0000, loss: 0.1085, grad_norm: 0.0392 2024-01-03 17:51:22,565 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:15:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1086, decode.loss_grad: 0.0000, loss: 0.1086, grad_norm: 0.0402 2024-01-03 17:51:25,292 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:15:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1093, decode.loss_grad: 0.0000, loss: 0.1093, grad_norm: 0.0394 2024-01-03 17:51:28,041 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:15:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0421 2024-01-03 17:51:30,782 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:15:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0409 2024-01-03 17:51:33,501 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:15:41, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0400 2024-01-03 17:51:36,226 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:15:37, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0413 2024-01-03 17:51:38,991 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:15:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1094, decode.loss_grad: 0.0000, loss: 0.1094, grad_norm: 0.0383 2024-01-03 17:51:41,767 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:51:41,781 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:15:31, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0412 2024-01-03 17:51:46,916 - mmseg - INFO - Summary: 2024-01-03 17:51:46,916 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7284 | 0.9441 | 0.9884 | 0.171 | 0.5826 | 0.0733 | 0.2114 | 17.4351 | 0.1311 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:51:46,917 - mmseg - INFO - Iter(val) [82] a1: 0.7284, a2: 0.9441, a3: 0.9884, abs_rel: 0.1709904819726944, rmse: 0.5826243162155151, log_10: 0.07331811636686325, rmse_log: 0.21143946051597595, silog: 17.4351, sq_rel: 0.13108669221401215 2024-01-03 17:51:49,718 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:15:32, time: 0.159, data_time: 0.104, memory: 809, decode.loss_depth: 0.1090, decode.loss_grad: 0.0000, loss: 0.1090, grad_norm: 0.0393 2024-01-03 17:51:52,474 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:15:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0397 2024-01-03 17:51:55,233 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:15:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0411 2024-01-03 17:51:58,011 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:15:23, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0401 2024-01-03 17:52:00,759 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:15:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0409 2024-01-03 17:52:03,518 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:15:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0412 2024-01-03 17:52:08,314 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:15:15, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0408 2024-01-03 17:52:11,096 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:15:12, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0400 2024-01-03 17:52:13,866 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:15:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1083, decode.loss_grad: 0.0000, loss: 0.1083, grad_norm: 0.0416 2024-01-03 17:52:16,585 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:15:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1067, decode.loss_grad: 0.0000, loss: 0.1067, grad_norm: 0.0404 2024-01-03 17:52:19,370 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:15:03, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0393 2024-01-03 17:52:22,140 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:52:22,140 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:15:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0387 2024-01-03 17:52:24,873 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:14:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0413 2024-01-03 17:52:27,633 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:14:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0412 2024-01-03 17:52:30,415 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:14:51, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0427 2024-01-03 17:52:33,145 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:14:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0384 2024-01-03 17:52:36,029 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:14:45, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0421 2024-01-03 17:52:38,842 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:14:42, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1093, decode.loss_grad: 0.0000, loss: 0.1093, grad_norm: 0.0412 2024-01-03 17:52:41,620 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:14:39, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0385 2024-01-03 17:52:44,604 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:14:36, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0395 2024-01-03 17:52:47,428 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:14:33, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1066, decode.loss_grad: 0.0000, loss: 0.1066, grad_norm: 0.0395 2024-01-03 17:52:50,213 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:14:30, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0406 2024-01-03 17:52:52,961 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:14:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0398 2024-01-03 17:52:55,875 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:14:24, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0402 2024-01-03 17:52:58,680 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:14:21, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0393 2024-01-03 17:53:01,465 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:14:18, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0404 2024-01-03 17:53:04,244 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:14:15, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1078, decode.loss_grad: 0.0000, loss: 0.1078, grad_norm: 0.0394 2024-01-03 17:53:07,027 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:14:12, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0396 2024-01-03 17:53:09,824 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:14:09, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0401 2024-01-03 17:53:12,615 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:14:06, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0371 2024-01-03 17:53:15,402 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:14:03, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0380 2024-01-03 17:53:18,242 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:53:18,254 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:53:18,254 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:14:00, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1086, decode.loss_grad: 0.0000, loss: 0.1086, grad_norm: 0.0423 2024-01-03 17:53:21,064 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:13:57, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0404 2024-01-03 17:53:23,865 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:13:54, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0410 2024-01-03 17:53:26,782 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:13:51, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1074, decode.loss_grad: 0.0000, loss: 0.1074, grad_norm: 0.0401 2024-01-03 17:53:29,538 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:13:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0420 2024-01-03 17:53:34,408 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:13:47, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1052, decode.loss_grad: 0.0000, loss: 0.1052, grad_norm: 0.0393 2024-01-03 17:53:37,188 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:13:44, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1061, decode.loss_grad: 0.0000, loss: 0.1061, grad_norm: 0.0385 2024-01-03 17:53:39,967 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:13:41, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0389 2024-01-03 17:53:42,751 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:13:38, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1055, decode.loss_grad: 0.0000, loss: 0.1055, grad_norm: 0.0395 2024-01-03 17:53:45,533 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:13:35, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1080, decode.loss_grad: 0.0000, loss: 0.1080, grad_norm: 0.0389 2024-01-03 17:53:48,352 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:13:32, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0386 2024-01-03 17:53:51,134 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:13:29, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0399 2024-01-03 17:53:53,935 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:13:26, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0409 2024-01-03 17:53:56,721 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:13:23, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0398 2024-01-03 17:53:59,508 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:13:20, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0404 2024-01-03 17:54:02,262 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:13:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1085, decode.loss_grad: 0.0000, loss: 0.1085, grad_norm: 0.0410 2024-01-03 17:54:05,036 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:13:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1052, decode.loss_grad: 0.0000, loss: 0.1052, grad_norm: 0.0383 2024-01-03 17:54:07,857 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:13:11, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1077, decode.loss_grad: 0.0000, loss: 0.1077, grad_norm: 0.0424 2024-01-03 17:54:10,697 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:13:08, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0402 2024-01-03 17:54:13,491 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:13:05, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0392 2024-01-03 17:54:16,254 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:54:16,254 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:13:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0389 2024-01-03 17:54:19,102 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:12:59, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0404 2024-01-03 17:54:21,884 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:12:56, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0414 2024-01-03 17:54:24,660 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:12:53, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0387 2024-01-03 17:54:27,488 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:12:50, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0408 2024-01-03 17:54:30,295 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:12:47, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1030, decode.loss_grad: 0.0000, loss: 0.1030, grad_norm: 0.0383 2024-01-03 17:54:33,051 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:12:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0383 2024-01-03 17:54:35,825 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:12:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0390 2024-01-03 17:54:38,551 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:12:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0387 2024-01-03 17:54:41,440 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:12:35, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0395 2024-01-03 17:54:44,234 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:12:32, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0390 2024-01-03 17:54:47,008 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:12:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0388 2024-01-03 17:54:49,774 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:54:49,791 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:12:26, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0394 2024-01-03 17:54:54,911 - mmseg - INFO - Summary: 2024-01-03 17:54:54,911 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.7326 | 0.946 | 0.9875 | 0.1767 | 0.5768 | 0.0727 | 0.2099 | 17.2727 | 0.1384 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:54:54,912 - mmseg - INFO - Iter(val) [82] a1: 0.7326, a2: 0.9460, a3: 0.9875, abs_rel: 0.1767190396785736, rmse: 0.5768498778343201, log_10: 0.07271870225667953, rmse_log: 0.20992448925971985, silog: 17.2727, sq_rel: 0.1383741945028305 2024-01-03 17:54:57,649 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:12:25, time: 0.157, data_time: 0.104, memory: 809, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0389 2024-01-03 17:55:00,461 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:12:22, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0409 2024-01-03 17:55:05,310 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:12:20, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0417 2024-01-03 17:55:08,043 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:12:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0382 2024-01-03 17:55:10,795 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:12:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0393 2024-01-03 17:55:13,617 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:12:11, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0375 2024-01-03 17:55:16,381 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:12:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0398 2024-01-03 17:55:19,170 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:55:19,170 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:12:05, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0387 2024-01-03 17:55:21,941 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:12:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0368 2024-01-03 17:55:24,746 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:11:59, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0401 2024-01-03 17:55:27,493 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:11:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1032, decode.loss_grad: 0.0000, loss: 0.1032, grad_norm: 0.0385 2024-01-03 17:55:30,258 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:11:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0411 2024-01-03 17:55:33,060 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:11:50, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0384 2024-01-03 17:55:35,801 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:11:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0397 2024-01-03 17:55:38,602 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:11:44, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0403 2024-01-03 17:55:41,369 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:11:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0400 2024-01-03 17:55:44,134 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:11:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1043, decode.loss_grad: 0.0000, loss: 0.1043, grad_norm: 0.0390 2024-01-03 17:55:46,888 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:11:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0407 2024-01-03 17:55:49,596 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:11:32, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0405 2024-01-03 17:55:52,348 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:11:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0383 2024-01-03 17:55:55,111 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:11:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0403 2024-01-03 17:55:57,867 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:11:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0388 2024-01-03 17:56:00,591 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:11:20, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1046, decode.loss_grad: 0.0000, loss: 0.1046, grad_norm: 0.0396 2024-01-03 17:56:03,317 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:11:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0390 2024-01-03 17:56:06,029 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:11:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1050, decode.loss_grad: 0.0000, loss: 0.1050, grad_norm: 0.0393 2024-01-03 17:56:08,803 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:11:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0381 2024-01-03 17:56:11,552 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:11:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0404 2024-01-03 17:56:14,326 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:56:14,326 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:11:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0393 2024-01-03 17:56:17,152 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:11:02, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1030, decode.loss_grad: 0.0000, loss: 0.1030, grad_norm: 0.0407 2024-01-03 17:56:19,890 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:10:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0402 2024-01-03 17:56:22,608 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:10:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1040, decode.loss_grad: 0.0000, loss: 0.1040, grad_norm: 0.0404 2024-01-03 17:56:25,372 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:56:25,385 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:10:54, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0391 2024-01-03 17:56:28,389 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:10:51, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0380 2024-01-03 17:56:33,245 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:10:48, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0392 2024-01-03 17:56:36,017 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:10:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0384 2024-01-03 17:56:38,857 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:10:43, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0398 2024-01-03 17:56:41,604 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:10:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0380 2024-01-03 17:56:44,341 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:10:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0400 2024-01-03 17:56:47,089 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:10:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0392 2024-01-03 17:56:49,866 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:10:31, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0391 2024-01-03 17:56:52,603 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:10:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0384 2024-01-03 17:56:55,409 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:10:25, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0379 2024-01-03 17:56:58,156 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:10:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0378 2024-01-03 17:57:00,896 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:10:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0377 2024-01-03 17:57:03,662 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:10:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0365 2024-01-03 17:57:06,382 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:10:13, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0378 2024-01-03 17:57:09,174 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:10:10, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0399 2024-01-03 17:57:11,917 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:57:11,917 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:10:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0393 2024-01-03 17:57:14,678 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:10:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1044, decode.loss_grad: 0.0000, loss: 0.1044, grad_norm: 0.0397 2024-01-03 17:57:17,432 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:10:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0399 2024-01-03 17:57:20,285 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:09:58, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0396 2024-01-03 17:57:23,046 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:09:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0389 2024-01-03 17:57:25,810 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:09:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1004, decode.loss_grad: 0.0000, loss: 0.1004, grad_norm: 0.0389 2024-01-03 17:57:28,577 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:09:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0386 2024-01-03 17:57:31,329 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:09:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0375 2024-01-03 17:57:34,066 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:09:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0385 2024-01-03 17:57:36,827 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:09:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0373 2024-01-03 17:57:39,569 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:09:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0393 2024-01-03 17:57:42,309 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:09:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0385 2024-01-03 17:57:45,085 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:09:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1042, decode.loss_grad: 0.0000, loss: 0.1042, grad_norm: 0.0403 2024-01-03 17:57:47,851 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:09:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0398 2024-01-03 17:57:50,709 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:09:25, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0393 2024-01-03 17:57:53,457 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:09:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0386 2024-01-03 17:57:58,264 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:57:58,279 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:09:20, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0397 2024-01-03 17:58:03,403 - mmseg - INFO - Summary: 2024-01-03 17:58:03,403 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7302 | 0.9456 | 0.9881 | 0.1721 | 0.5782 | 0.073 | 0.2104 | 17.3459 | 0.1329 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:58:03,403 - mmseg - INFO - Iter(val) [82] a1: 0.7302, a2: 0.9456, a3: 0.9881, abs_rel: 0.17214533686637878, rmse: 0.5782114863395691, log_10: 0.07297920435667038, rmse_log: 0.21037441492080688, silog: 17.3459, sq_rel: 0.13293342292308807 2024-01-03 17:58:06,164 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:09:19, time: 0.158, data_time: 0.104, memory: 809, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0388 2024-01-03 17:58:08,913 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:09:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0387 2024-01-03 17:58:11,670 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:09:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0382 2024-01-03 17:58:14,422 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:58:14,422 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:09:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0372 2024-01-03 17:58:17,170 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:09:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1034, decode.loss_grad: 0.0000, loss: 0.1034, grad_norm: 0.0404 2024-01-03 17:58:19,954 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:09:04, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0384 2024-01-03 17:58:22,729 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:09:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1033, decode.loss_grad: 0.0000, loss: 0.1033, grad_norm: 0.0378 2024-01-03 17:58:25,471 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:08:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0381 2024-01-03 17:58:28,239 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:08:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1026, decode.loss_grad: 0.0000, loss: 0.1026, grad_norm: 0.0388 2024-01-03 17:58:31,015 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:08:52, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0367 2024-01-03 17:58:33,855 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:08:49, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0381 2024-01-03 17:58:36,599 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:08:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0380 2024-01-03 17:58:39,371 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:08:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0399 2024-01-03 17:58:42,146 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1001, decode.loss_grad: 0.0000, loss: 0.1001, grad_norm: 0.0378 2024-01-03 17:58:45,103 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:37, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1030, decode.loss_grad: 0.0000, loss: 0.1030, grad_norm: 0.0395 2024-01-03 17:58:47,843 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:08:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0382 2024-01-03 17:58:50,584 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:08:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0382 2024-01-03 17:58:53,328 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:08:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0378 2024-01-03 17:58:56,061 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:08:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0376 2024-01-03 17:58:58,827 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:08:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0386 2024-01-03 17:59:01,554 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:08:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0385 2024-01-03 17:59:04,381 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:08:16, time: 0.057, data_time: 0.004, memory: 809, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0393 2024-01-03 17:59:07,127 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:08:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0388 2024-01-03 17:59:09,882 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:59:09,883 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:08:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0390 2024-01-03 17:59:12,627 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:08:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0375 2024-01-03 17:59:15,428 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:08:04, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0367 2024-01-03 17:59:18,218 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:08:01, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0379 2024-01-03 17:59:20,941 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:07:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0378 2024-01-03 17:59:23,687 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:07:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0385 2024-01-03 17:59:28,594 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:07:53, time: 0.098, data_time: 0.043, memory: 809, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0361 2024-01-03 17:59:31,348 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:07:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0371 2024-01-03 17:59:34,075 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:59:34,088 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:07:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0366 2024-01-03 17:59:36,834 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:07:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0371 2024-01-03 17:59:39,597 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0377 2024-01-03 17:59:42,346 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0382 2024-01-03 17:59:45,104 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0372 2024-01-03 17:59:47,926 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:32, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0373 2024-01-03 17:59:50,664 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:07:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0997, decode.loss_grad: 0.0000, loss: 0.0997, grad_norm: 0.0375 2024-01-03 17:59:53,416 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0381 2024-01-03 17:59:56,157 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:07:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0380 2024-01-03 17:59:58,911 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:07:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0368 2024-01-03 18:00:01,674 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:07:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1016, decode.loss_grad: 0.0000, loss: 0.1016, grad_norm: 0.0365 2024-01-03 18:00:04,445 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:07:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0363 2024-01-03 18:00:07,257 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:00:07,257 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:07:12, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1015, decode.loss_grad: 0.0000, loss: 0.1015, grad_norm: 0.0373 2024-01-03 18:00:10,001 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:07:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0383 2024-01-03 18:00:12,752 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:07:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0364 2024-01-03 18:00:15,498 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:07:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0998, decode.loss_grad: 0.0000, loss: 0.0998, grad_norm: 0.0387 2024-01-03 18:00:18,289 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:07:00, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0384 2024-01-03 18:00:21,008 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:06:57, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0375 2024-01-03 18:00:23,771 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:06:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0392 2024-01-03 18:00:26,519 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:06:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0393 2024-01-03 18:00:29,323 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:06:48, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0382 2024-01-03 18:00:32,071 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0370 2024-01-03 18:00:34,812 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0364 2024-01-03 18:00:37,562 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0365 2024-01-03 18:00:40,526 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:36, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0371 2024-01-03 18:00:43,282 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0400 2024-01-03 18:00:46,032 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0371 2024-01-03 18:00:48,765 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0381 2024-01-03 18:00:53,713 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:25, time: 0.099, data_time: 0.043, memory: 809, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0368 2024-01-03 18:00:56,453 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:06:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0370 2024-01-03 18:00:59,200 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:06:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0372 2024-01-03 18:01:02,007 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:06:16, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0998, decode.loss_grad: 0.0000, loss: 0.0998, grad_norm: 0.0363 2024-01-03 18:01:04,771 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 18:01:04,787 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:01:04,787 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:06:13, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0998, decode.loss_grad: 0.0000, loss: 0.0998, grad_norm: 0.0366 2024-01-03 18:01:09,907 - mmseg - INFO - Summary: 2024-01-03 18:01:09,908 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7288 | 0.9446 | 0.9883 | 0.1727 | 0.5809 | 0.0733 | 0.2111 | 17.4256 | 0.1334 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:01:09,908 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:01:09,908 - mmseg - INFO - Iter(val) [82] a1: 0.7288, a2: 0.9446, a3: 0.9883, abs_rel: 0.1727406531572342, rmse: 0.5809196829795837, log_10: 0.07325875014066696, rmse_log: 0.2111486792564392, silog: 17.4256, sq_rel: 0.1334180235862732 2024-01-03 18:01:12,671 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:11, time: 0.158, data_time: 0.104, memory: 809, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0363 2024-01-03 18:01:15,460 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0372 2024-01-03 18:01:18,216 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0371 2024-01-03 18:01:21,031 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:06:02, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0381 2024-01-03 18:01:23,757 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:05:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0382 2024-01-03 18:01:26,505 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:05:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0366 2024-01-03 18:01:29,268 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:05:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0366 2024-01-03 18:01:32,048 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:05:50, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0384 2024-01-03 18:01:34,833 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:47, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0375 2024-01-03 18:01:37,600 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0377 2024-01-03 18:01:40,345 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0375 2024-01-03 18:01:43,082 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0373 2024-01-03 18:01:45,834 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0366 2024-01-03 18:01:48,597 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0360 2024-01-03 18:01:51,366 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0376 2024-01-03 18:01:54,115 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0998, decode.loss_grad: 0.0000, loss: 0.0998, grad_norm: 0.0390 2024-01-03 18:01:56,902 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:24, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0361 2024-01-03 18:01:59,651 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0366 2024-01-03 18:02:02,419 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1013, decode.loss_grad: 0.0000, loss: 0.1013, grad_norm: 0.0372 2024-01-03 18:02:05,379 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:02:05,379 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:15, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0351 2024-01-03 18:02:08,153 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0371 2024-01-03 18:02:10,921 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0974, decode.loss_grad: 0.0000, loss: 0.0974, grad_norm: 0.0373 2024-01-03 18:02:13,743 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:06, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0376 2024-01-03 18:02:16,535 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:05:03, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0370 2024-01-03 18:02:19,288 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:05:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0352 2024-01-03 18:02:22,031 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:04:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0368 2024-01-03 18:02:26,887 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:04:55, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0381 2024-01-03 18:02:29,648 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:04:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0361 2024-01-03 18:02:32,436 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:49, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0362 2024-01-03 18:02:35,275 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:46, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0378 2024-01-03 18:02:38,030 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0366 2024-01-03 18:02:40,792 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 18:02:40,803 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0363 2024-01-03 18:02:43,563 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0363 2024-01-03 18:02:46,428 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:34, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0359 2024-01-03 18:02:49,209 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:31, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0358 2024-01-03 18:02:52,002 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:28, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0358 2024-01-03 18:02:54,773 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0355 2024-01-03 18:02:57,605 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:22, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0362 2024-01-03 18:03:00,381 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:19, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0369 2024-01-03 18:03:03,166 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:03:03,166 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:17, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0975, decode.loss_grad: 0.0000, loss: 0.0975, grad_norm: 0.0365 2024-01-03 18:03:06,043 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:14, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0364 2024-01-03 18:03:08,898 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:11, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0362 2024-01-03 18:03:11,693 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0371 2024-01-03 18:03:14,448 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0362 2024-01-03 18:03:17,234 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:02, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0381 2024-01-03 18:03:20,027 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:03:59, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0371 2024-01-03 18:03:22,777 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:03:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0356 2024-01-03 18:03:25,530 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:03:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0369 2024-01-03 18:03:28,306 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:50, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0361 2024-01-03 18:03:31,073 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0365 2024-01-03 18:03:33,875 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:44, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0368 2024-01-03 18:03:36,633 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0362 2024-01-03 18:03:39,419 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:38, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1001, decode.loss_grad: 0.0000, loss: 0.1001, grad_norm: 0.0365 2024-01-03 18:03:42,213 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:35, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0368 2024-01-03 18:03:44,975 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0360 2024-01-03 18:03:47,759 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:30, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0355 2024-01-03 18:03:52,703 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:27, time: 0.099, data_time: 0.043, memory: 809, decode.loss_depth: 0.0959, decode.loss_grad: 0.0000, loss: 0.0959, grad_norm: 0.0358 2024-01-03 18:03:55,499 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:24, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0357 2024-01-03 18:03:58,276 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:21, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0345 2024-01-03 18:04:01,133 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:04:01,133 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:18, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0360 2024-01-03 18:04:03,919 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:15, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0374 2024-01-03 18:04:06,733 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:12, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0365 2024-01-03 18:04:09,588 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:09, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0357 2024-01-03 18:04:12,400 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 18:04:12,416 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:06, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0362 2024-01-03 18:04:17,525 - mmseg - INFO - Summary: 2024-01-03 18:04:17,526 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7295 | 0.9449 | 0.9883 | 0.1732 | 0.5793 | 0.0731 | 0.2109 | 17.3813 | 0.1339 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 18:04:17,526 - mmseg - INFO - Iter(val) [82] a1: 0.7295, a2: 0.9449, a3: 0.9883, abs_rel: 0.17316819727420807, rmse: 0.5792796611785889, log_10: 0.07314202189445496, rmse_log: 0.21092189848423004, silog: 17.3813, sq_rel: 0.13391487300395966 2024-01-03 18:04:20,408 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:04, time: 0.160, data_time: 0.104, memory: 809, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0364 2024-01-03 18:04:23,155 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0362 2024-01-03 18:04:25,904 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:02:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0980, decode.loss_grad: 0.0000, loss: 0.0980, grad_norm: 0.0354 2024-01-03 18:04:28,649 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:02:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0367 2024-01-03 18:04:31,478 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:52, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0997, decode.loss_grad: 0.0000, loss: 0.0997, grad_norm: 0.0360 2024-01-03 18:04:34,278 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:49, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0364 2024-01-03 18:04:37,057 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:46, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0355 2024-01-03 18:04:39,833 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:43, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0357 2024-01-03 18:04:42,634 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:40, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0369 2024-01-03 18:04:45,395 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0358 2024-01-03 18:04:48,169 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0359 2024-01-03 18:04:50,921 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0365 2024-01-03 18:04:53,726 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:29, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0357 2024-01-03 18:04:56,446 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:26, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0361 2024-01-03 18:04:59,240 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:23, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0357 2024-01-03 18:05:01,964 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:05:01,964 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:20, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.0980, decode.loss_grad: 0.0000, loss: 0.0980, grad_norm: 0.0385 2024-01-03 18:05:04,738 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0368 2024-01-03 18:05:07,519 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:14, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0359 2024-01-03 18:05:10,259 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0367 2024-01-03 18:05:13,037 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0363 2024-01-03 18:05:15,834 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:05, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0362 2024-01-03 18:05:18,621 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:02, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0341 2024-01-03 18:05:23,488 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:01:59, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0356 2024-01-03 18:05:26,246 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:01:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0349 2024-01-03 18:05:28,994 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0353 2024-01-03 18:05:31,753 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0961, decode.loss_grad: 0.0000, loss: 0.0961, grad_norm: 0.0372 2024-01-03 18:05:34,558 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:48, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0993, decode.loss_grad: 0.0000, loss: 0.0993, grad_norm: 0.0364 2024-01-03 18:05:37,365 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:45, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0364 2024-01-03 18:05:40,164 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:42, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0984, decode.loss_grad: 0.0000, loss: 0.0984, grad_norm: 0.0358 2024-01-03 18:05:42,914 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0356 2024-01-03 18:05:45,688 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0359 2024-01-03 18:05:48,439 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 18:05:48,451 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0360 2024-01-03 18:05:51,210 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0364 2024-01-03 18:05:53,959 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1001, decode.loss_grad: 0.0000, loss: 0.1001, grad_norm: 0.0367 2024-01-03 18:05:56,765 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:24, time: 0.056, data_time: 0.003, memory: 809, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0362 2024-01-03 18:05:59,496 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:05:59,496 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0377 2024-01-03 18:06:02,253 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0341 2024-01-03 18:06:04,999 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0369 2024-01-03 18:06:07,809 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:13, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0365 2024-01-03 18:06:10,581 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0980, decode.loss_grad: 0.0000, loss: 0.0980, grad_norm: 0.0372 2024-01-03 18:06:13,328 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0350 2024-01-03 18:06:16,057 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0370 2024-01-03 18:06:18,778 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:01, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0366 2024-01-03 18:06:21,536 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:00:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0358 2024-01-03 18:06:24,289 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0361 2024-01-03 18:06:27,131 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:52, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0360 2024-01-03 18:06:29,877 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0362 2024-01-03 18:06:32,612 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0990, decode.loss_grad: 0.0000, loss: 0.0990, grad_norm: 0.0364 2024-01-03 18:06:35,394 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:43, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0359 2024-01-03 18:06:38,327 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:40, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.0966, decode.loss_grad: 0.0000, loss: 0.0966, grad_norm: 0.0361 2024-01-03 18:06:41,067 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0344 2024-01-03 18:06:43,796 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0367 2024-01-03 18:06:46,538 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0975, decode.loss_grad: 0.0000, loss: 0.0975, grad_norm: 0.0361 2024-01-03 18:06:51,365 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:29, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0355 2024-01-03 18:06:54,122 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0987, decode.loss_grad: 0.0000, loss: 0.0987, grad_norm: 0.0356 2024-01-03 18:06:56,869 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 18:06:56,869 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0351 2024-01-03 18:06:59,730 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:20, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0361 2024-01-03 18:07:02,455 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:17, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0363 2024-01-03 18:07:05,198 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0958, decode.loss_grad: 0.0000, loss: 0.0958, grad_norm: 0.0353 2024-01-03 18:07:07,970 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0359 2024-01-03 18:07:10,741 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0359 2024-01-03 18:07:13,521 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:05, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0976, decode.loss_grad: 0.0000, loss: 0.0976, grad_norm: 0.0346 2024-01-03 18:07:16,299 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:02, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0360 2024-01-03 18:07:19,061 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 18:07:19,076 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0348 2024-01-03 18:07:24,199 - mmseg - INFO - Summary: 2024-01-03 18:07:24,200 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.7295 | 0.9449 | 0.9884 | 0.1731 | 0.579 | 0.0731 | 0.2109 | 17.3855 | 0.1337 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 18:07:24,200 - mmseg - INFO - Iter(val) [82] a1: 0.7295, a2: 0.9449, a3: 0.9884, abs_rel: 0.17311497032642365, rmse: 0.5790313482284546, log_10: 0.07312590628862381, rmse_log: 0.21085315942764282, silog: 17.3855, sq_rel: 0.13368038833141327