2024-01-03 17:01:09,681 - 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 17:01:09,682 - mmseg - INFO - Distributed training: True 2024-01-03 17:01:09,682 - 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_clip_384.laion2b_ft_in12k_in1k', 'gpu_ids': range(0, 1)} 2024-01-03 17:01:14,538 - mmseg - INFO - Loading backbone from vit_base_patch16_clip_384.laion2b_ft_in12k_in1k 2024-01-03 17:01:14,763 - mmseg - INFO - _IncompatibleKeys(missing_keys=['vit.model.cls_token', 'vit.model.pos_embed', 'vit.model.patch_embed.proj.weight', 'vit.model.norm_pre.weight', 'vit.model.norm_pre.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 17:01:14,764 - mmseg - INFO - pos_embed loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 17:01:14,764 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 17:01:14,765 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 17:01:14,791 - 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 17:01:14,873 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:01:16,924 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:01:16,925 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k 2024-01-03 17:01:16,925 - 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 17:01:16,925 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:01:16,925 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k by HardDiskBackend. 2024-01-03 17:01:34,430 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:17:15, time: 0.121, data_time: 0.005, memory: 811, decode.loss_depth: 0.2321, decode.loss_grad: 0.0000, loss: 0.2321, grad_norm: 0.5052 2024-01-03 17:01:37,147 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:55:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.3662 2024-01-03 17:01:39,850 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:48:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.4315, decode.loss_grad: 0.0000, loss: 0.4315, grad_norm: 0.2378 2024-01-03 17:01:42,557 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:45:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.4026, decode.loss_grad: 0.0000, loss: 0.4026, grad_norm: 0.2099 2024-01-03 17:01:45,258 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:42:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.3698, decode.loss_grad: 0.0000, loss: 0.3698, grad_norm: 0.2357 2024-01-03 17:01:47,989 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:41:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.3327, decode.loss_grad: 0.0000, loss: 0.3327, grad_norm: 0.2626 2024-01-03 17:01:50,683 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:40:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.3108, decode.loss_grad: 0.0000, loss: 0.3108, grad_norm: 0.2797 2024-01-03 17:01:53,401 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:39:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2871, decode.loss_grad: 0.0000, loss: 0.2871, grad_norm: 0.2815 2024-01-03 17:01:56,116 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:38:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2686, decode.loss_grad: 0.0000, loss: 0.2686, grad_norm: 0.2842 2024-01-03 17:01:58,829 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:38:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2669, decode.loss_grad: 0.0000, loss: 0.2669, grad_norm: 0.2954 2024-01-03 17:02:01,538 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:38:01, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2661, decode.loss_grad: 0.0000, loss: 0.2661, grad_norm: 0.2930 2024-01-03 17:02:04,262 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:37:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2483, decode.loss_grad: 0.0000, loss: 0.2483, grad_norm: 0.2872 2024-01-03 17:02:06,974 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:37:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2489, decode.loss_grad: 0.0000, loss: 0.2489, grad_norm: 0.2776 2024-01-03 17:02:09,692 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:37:04, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2395, decode.loss_grad: 0.0000, loss: 0.2395, grad_norm: 0.2807 2024-01-03 17:02:12,417 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:36:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2322, decode.loss_grad: 0.0000, loss: 0.2322, grad_norm: 0.2787 2024-01-03 17:02:15,134 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:36:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2382, decode.loss_grad: 0.0000, loss: 0.2382, grad_norm: 0.2803 2024-01-03 17:02:17,831 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:36:24, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2278, decode.loss_grad: 0.0000, loss: 0.2278, grad_norm: 0.2787 2024-01-03 17:02:20,537 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:36:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2273, decode.loss_grad: 0.0000, loss: 0.2273, grad_norm: 0.2652 2024-01-03 17:02:23,259 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:36:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2272, decode.loss_grad: 0.0000, loss: 0.2272, grad_norm: 0.2660 2024-01-03 17:02:25,992 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:02:25,992 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:35:54, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.2212, decode.loss_grad: 0.0000, loss: 0.2212, grad_norm: 0.2590 2024-01-03 17:02:28,743 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:35:46, time: 0.055, data_time: 0.003, memory: 811, decode.loss_depth: 0.2205, decode.loss_grad: 0.0000, loss: 0.2205, grad_norm: 0.2770 2024-01-03 17:02:31,475 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:35:39, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.2233, decode.loss_grad: 0.0000, loss: 0.2233, grad_norm: 0.2576 2024-01-03 17:02:34,199 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:35:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2156, decode.loss_grad: 0.0000, loss: 0.2156, grad_norm: 0.2531 2024-01-03 17:02:36,951 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:35:25, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.2092, decode.loss_grad: 0.0000, loss: 0.2092, grad_norm: 0.2452 2024-01-03 17:02:39,669 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:35:18, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2158, decode.loss_grad: 0.0000, loss: 0.2158, grad_norm: 0.2409 2024-01-03 17:02:42,395 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:35:11, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.2129, decode.loss_grad: 0.0000, loss: 0.2129, grad_norm: 0.2418 2024-01-03 17:02:45,094 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:35:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2115, decode.loss_grad: 0.0000, loss: 0.2115, grad_norm: 0.2321 2024-01-03 17:02:47,814 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:34:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2097, decode.loss_grad: 0.0000, loss: 0.2097, grad_norm: 0.2245 2024-01-03 17:02:50,532 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:34:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.2307 2024-01-03 17:02:53,247 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:34:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2078, decode.loss_grad: 0.0000, loss: 0.2078, grad_norm: 0.2304 2024-01-03 17:02:58,032 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:35:31, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.2247 2024-01-03 17:03:00,752 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:03:00,765 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:35:24, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.2058 2024-01-03 17:03:03,503 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:35:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.2094 2024-01-03 17:03:06,212 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:35:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1969, decode.loss_grad: 0.0000, loss: 0.1969, grad_norm: 0.2031 2024-01-03 17:03:08,926 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:35:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.2123 2024-01-03 17:03:11,649 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:34:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1938, decode.loss_grad: 0.0000, loss: 0.1938, grad_norm: 0.1981 2024-01-03 17:03:14,402 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:34:54, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.1965 2024-01-03 17:03:17,144 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:34:49, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.2066 2024-01-03 17:03:19,877 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:34:43, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1980, decode.loss_grad: 0.0000, loss: 0.1980, grad_norm: 0.2150 2024-01-03 17:03:22,590 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:03:22,590 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:34:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.2017 2024-01-03 17:03:25,319 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:34:33, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.1991 2024-01-03 17:03:28,023 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:34:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1982, decode.loss_grad: 0.0000, loss: 0.1982, grad_norm: 0.1984 2024-01-03 17:03:30,744 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:34:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1940, decode.loss_grad: 0.0000, loss: 0.1940, grad_norm: 0.1893 2024-01-03 17:03:33,462 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:34:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1912, decode.loss_grad: 0.0000, loss: 0.1912, grad_norm: 0.1870 2024-01-03 17:03:36,184 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:34:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1932, decode.loss_grad: 0.0000, loss: 0.1932, grad_norm: 0.1902 2024-01-03 17:03:38,915 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:34:08, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1915, decode.loss_grad: 0.0000, loss: 0.1915, grad_norm: 0.1799 2024-01-03 17:03:41,641 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:34:04, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1921, decode.loss_grad: 0.0000, loss: 0.1921, grad_norm: 0.1808 2024-01-03 17:03:44,350 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:33:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1880, decode.loss_grad: 0.0000, loss: 0.1880, grad_norm: 0.1727 2024-01-03 17:03:47,060 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:33:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1903, decode.loss_grad: 0.0000, loss: 0.1903, grad_norm: 0.1852 2024-01-03 17:03:49,743 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:33:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.1755 2024-01-03 17:03:52,467 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:33:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.1791 2024-01-03 17:03:55,165 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:33:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1841, decode.loss_grad: 0.0000, loss: 0.1841, grad_norm: 0.1697 2024-01-03 17:03:57,883 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:33:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1863, decode.loss_grad: 0.0000, loss: 0.1863, grad_norm: 0.1652 2024-01-03 17:04:00,603 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:33:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1876, decode.loss_grad: 0.0000, loss: 0.1876, grad_norm: 0.1689 2024-01-03 17:04:03,296 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:33:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.1708 2024-01-03 17:04:06,012 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:33:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.1685 2024-01-03 17:04:08,724 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:33:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1854, decode.loss_grad: 0.0000, loss: 0.1854, grad_norm: 0.1687 2024-01-03 17:04:11,446 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:33:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1861, decode.loss_grad: 0.0000, loss: 0.1861, grad_norm: 0.1629 2024-01-03 17:04:14,174 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:33:12, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.1607 2024-01-03 17:04:16,885 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:04:16,885 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:33:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1845, decode.loss_grad: 0.0000, loss: 0.1845, grad_norm: 0.1666 2024-01-03 17:04:21,684 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:33:28, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.1546 2024-01-03 17:04:24,379 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:33:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1836, decode.loss_grad: 0.0000, loss: 0.1836, grad_norm: 0.1561 2024-01-03 17:04:27,118 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:33:19, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1790, decode.loss_grad: 0.0000, loss: 0.1790, grad_norm: 0.1531 2024-01-03 17:04:29,829 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:04:29,841 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:33:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.1593 2024-01-03 17:04:44,221 - mmseg - INFO - Summary: 2024-01-03 17:04:44,222 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6887 | 0.9318 | 0.9858 | 0.2028 | 0.6164 | 0.08 | 0.2272 | 17.8957 | 0.1661 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:04:44,232 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:04:44,232 - mmseg - INFO - Best abs_rel is 0.2028 at 3200 iter. 2024-01-03 17:04:44,232 - mmseg - INFO - Iter(val) [82] a1: 0.6887, a2: 0.9318, a3: 0.9858, abs_rel: 0.2027675211429596, rmse: 0.6163662672042847, log_10: 0.08001711964607239, rmse_log: 0.22721734642982483, silog: 17.8957, sq_rel: 0.16614915430545807 2024-01-03 17:04:46,938 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:35:47, time: 0.342, data_time: 0.290, memory: 811, decode.loss_depth: 0.1808, decode.loss_grad: 0.0000, loss: 0.1808, grad_norm: 0.1505 2024-01-03 17:04:49,650 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:35:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1811, decode.loss_grad: 0.0000, loss: 0.1811, grad_norm: 0.1514 2024-01-03 17:04:52,388 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:35:34, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1806, decode.loss_grad: 0.0000, loss: 0.1806, grad_norm: 0.1479 2024-01-03 17:04:55,133 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:35:28, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1839, decode.loss_grad: 0.0000, loss: 0.1839, grad_norm: 0.1482 2024-01-03 17:04:57,819 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:35:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1825, decode.loss_grad: 0.0000, loss: 0.1825, grad_norm: 0.1432 2024-01-03 17:05:00,519 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:35:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.1492 2024-01-03 17:05:03,246 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:35:09, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.1511 2024-01-03 17:05:06,001 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:35:03, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.1414 2024-01-03 17:05:08,705 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:34:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.1362 2024-01-03 17:05:11,392 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:34:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1790, decode.loss_grad: 0.0000, loss: 0.1790, grad_norm: 0.1359 2024-01-03 17:05:14,122 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:34:45, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.1384 2024-01-03 17:05:16,823 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:34:39, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.1341 2024-01-03 17:05:19,541 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:34:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1769, decode.loss_grad: 0.0000, loss: 0.1769, grad_norm: 0.1330 2024-01-03 17:05:22,236 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:34:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.1310 2024-01-03 17:05:24,935 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:34:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.1296 2024-01-03 17:05:27,657 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:05:27,657 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:34:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1729, decode.loss_grad: 0.0000, loss: 0.1729, grad_norm: 0.1238 2024-01-03 17:05:30,384 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:34:12, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.1298 2024-01-03 17:05:33,104 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:34:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.1337 2024-01-03 17:05:35,827 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:34:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.1292 2024-01-03 17:05:38,530 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:33:56, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1779, decode.loss_grad: 0.0000, loss: 0.1779, grad_norm: 0.1276 2024-01-03 17:05:41,229 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:33:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.1224 2024-01-03 17:05:43,937 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:33:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.1187 2024-01-03 17:05:46,642 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:33:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.1199 2024-01-03 17:05:49,358 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:33:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.1154 2024-01-03 17:05:52,061 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:33:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.1245 2024-01-03 17:05:54,782 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:33:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.1192 2024-01-03 17:05:59,581 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:33:37, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.1166 2024-01-03 17:06:02,317 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:33:32, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.1128 2024-01-03 17:06:05,034 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:33:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.1189 2024-01-03 17:06:07,761 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:33:23, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.1165 2024-01-03 17:06:10,485 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:33:18, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.1149 2024-01-03 17:06:13,187 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:06:13,199 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:33:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.1183 2024-01-03 17:06:15,892 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:33:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.1148 2024-01-03 17:06:18,627 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:33:04, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.1084 2024-01-03 17:06:21,356 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:32:59, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.1110 2024-01-03 17:06:24,058 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:06:24,058 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:32:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1668, decode.loss_grad: 0.0000, loss: 0.1668, grad_norm: 0.1036 2024-01-03 17:06:26,756 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:32:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.1055 2024-01-03 17:06:29,471 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:32:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.1062 2024-01-03 17:06:32,190 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:32:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.1112 2024-01-03 17:06:34,900 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:32:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1706, decode.loss_grad: 0.0000, loss: 0.1706, grad_norm: 0.1044 2024-01-03 17:06:37,635 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:32:32, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.1053 2024-01-03 17:06:40,349 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:32:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.1098 2024-01-03 17:06:43,084 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:32:23, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.1014 2024-01-03 17:06:45,775 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:32:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1682, decode.loss_grad: 0.0000, loss: 0.1682, grad_norm: 0.0986 2024-01-03 17:06:48,476 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:32:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.1066 2024-01-03 17:06:51,198 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:32:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.1000 2024-01-03 17:06:53,905 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:32:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.1024 2024-01-03 17:06:56,611 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:32:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0972 2024-01-03 17:06:59,323 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:31:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0978 2024-01-03 17:07:02,012 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:31:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.1004 2024-01-03 17:07:04,730 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:31:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0961 2024-01-03 17:07:07,468 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:31:45, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0986 2024-01-03 17:07:10,201 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:31:41, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0950 2024-01-03 17:07:12,911 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:31:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.0959 2024-01-03 17:07:15,604 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:31:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1646, decode.loss_grad: 0.0000, loss: 0.1646, grad_norm: 0.0916 2024-01-03 17:07:18,329 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:07:18,330 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:31:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0974 2024-01-03 17:07:21,019 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:31:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0891 2024-01-03 17:07:25,792 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:31:32, time: 0.095, data_time: 0.043, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0907 2024-01-03 17:07:28,502 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:31:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0913 2024-01-03 17:07:31,220 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:31:24, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1564, decode.loss_grad: 0.0000, loss: 0.1564, grad_norm: 0.0855 2024-01-03 17:07:33,954 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:31:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0875 2024-01-03 17:07:36,679 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:31:16, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1624, decode.loss_grad: 0.0000, loss: 0.1624, grad_norm: 0.0898 2024-01-03 17:07:39,375 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:31:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1612, decode.loss_grad: 0.0000, loss: 0.1612, grad_norm: 0.0836 2024-01-03 17:07:42,110 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:07:42,124 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:31:08, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0869 2024-01-03 17:07:47,237 - mmseg - INFO - Summary: 2024-01-03 17:07:47,237 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6999 | 0.9389 | 0.9878 | 0.193 | 0.6017 | 0.0777 | 0.2203 | 17.4843 | 0.1541 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:07:47,238 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:07:47,248 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:07:47,249 - mmseg - INFO - Best abs_rel is 0.1930 at 6400 iter. 2024-01-03 17:07:47,249 - mmseg - INFO - Iter(val) [82] a1: 0.6999, a2: 0.9389, a3: 0.9878, abs_rel: 0.19299684464931488, rmse: 0.6016695499420166, log_10: 0.07772039622068405, rmse_log: 0.22028297185897827, silog: 17.4843, sq_rel: 0.15408511459827423 2024-01-03 17:07:49,960 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:31:30, time: 0.157, data_time: 0.105, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0891 2024-01-03 17:07:52,661 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:31:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0895 2024-01-03 17:07:55,355 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:31:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1639, decode.loss_grad: 0.0000, loss: 0.1639, grad_norm: 0.0862 2024-01-03 17:07:58,079 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:31:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0869 2024-01-03 17:08:00,794 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:31:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0868 2024-01-03 17:08:03,506 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:31:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1668, decode.loss_grad: 0.0000, loss: 0.1668, grad_norm: 0.0851 2024-01-03 17:08:06,224 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:31:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.0817 2024-01-03 17:08:08,911 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:31:01, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1577, decode.loss_grad: 0.0000, loss: 0.1577, grad_norm: 0.0850 2024-01-03 17:08:11,621 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:30:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0841 2024-01-03 17:08:14,334 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:30:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0830 2024-01-03 17:08:17,049 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:30:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1608, decode.loss_grad: 0.0000, loss: 0.1608, grad_norm: 0.0790 2024-01-03 17:08:19,764 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:08:19,765 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:30:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1616, decode.loss_grad: 0.0000, loss: 0.1616, grad_norm: 0.0811 2024-01-03 17:08:22,492 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:30:41, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0830 2024-01-03 17:08:25,195 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:30:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1600, decode.loss_grad: 0.0000, loss: 0.1600, grad_norm: 0.0747 2024-01-03 17:08:27,889 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:30:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1607, decode.loss_grad: 0.0000, loss: 0.1607, grad_norm: 0.0798 2024-01-03 17:08:30,634 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:30:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0870 2024-01-03 17:08:33,339 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:30:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.0833 2024-01-03 17:08:36,057 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:30:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0786 2024-01-03 17:08:38,757 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:30:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1594, decode.loss_grad: 0.0000, loss: 0.1594, grad_norm: 0.0744 2024-01-03 17:08:41,467 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:30:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.0770 2024-01-03 17:08:44,145 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:30:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0742 2024-01-03 17:08:46,834 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:30:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1623, decode.loss_grad: 0.0000, loss: 0.1623, grad_norm: 0.0786 2024-01-03 17:08:49,539 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:30:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1603, decode.loss_grad: 0.0000, loss: 0.1603, grad_norm: 0.0752 2024-01-03 17:08:54,332 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:30:07, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.0728 2024-01-03 17:08:57,011 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:30:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1534, decode.loss_grad: 0.0000, loss: 0.1534, grad_norm: 0.0726 2024-01-03 17:08:59,715 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:29:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1608, decode.loss_grad: 0.0000, loss: 0.1608, grad_norm: 0.0727 2024-01-03 17:09:02,420 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:29:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1570, decode.loss_grad: 0.0000, loss: 0.1570, grad_norm: 0.0717 2024-01-03 17:09:05,135 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:29:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.0705 2024-01-03 17:09:07,836 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:29:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1619, decode.loss_grad: 0.0000, loss: 0.1619, grad_norm: 0.0746 2024-01-03 17:09:10,543 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:29:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1608, decode.loss_grad: 0.0000, loss: 0.1608, grad_norm: 0.0749 2024-01-03 17:09:13,270 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:29:40, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1626, decode.loss_grad: 0.0000, loss: 0.1626, grad_norm: 0.0728 2024-01-03 17:09:15,965 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:09:15,978 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:09:15,978 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:29:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1567, decode.loss_grad: 0.0000, loss: 0.1567, grad_norm: 0.0662 2024-01-03 17:09:18,680 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:29:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1550, decode.loss_grad: 0.0000, loss: 0.1550, grad_norm: 0.0682 2024-01-03 17:09:21,396 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:29:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1587, decode.loss_grad: 0.0000, loss: 0.1587, grad_norm: 0.0702 2024-01-03 17:09:24,116 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:29:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0679 2024-01-03 17:09:26,856 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:29:22, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1575, decode.loss_grad: 0.0000, loss: 0.1575, grad_norm: 0.0667 2024-01-03 17:09:29,589 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:29:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1614, decode.loss_grad: 0.0000, loss: 0.1614, grad_norm: 0.0702 2024-01-03 17:09:32,307 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:29:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1615, decode.loss_grad: 0.0000, loss: 0.1615, grad_norm: 0.0686 2024-01-03 17:09:35,038 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:29:11, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1576, decode.loss_grad: 0.0000, loss: 0.1576, grad_norm: 0.0673 2024-01-03 17:09:37,751 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:29:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1580, decode.loss_grad: 0.0000, loss: 0.1580, grad_norm: 0.0682 2024-01-03 17:09:40,485 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:29:04, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1597, decode.loss_grad: 0.0000, loss: 0.1597, grad_norm: 0.0672 2024-01-03 17:09:43,235 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:29:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1601, decode.loss_grad: 0.0000, loss: 0.1601, grad_norm: 0.0676 2024-01-03 17:09:45,957 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:28:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.0686 2024-01-03 17:09:48,680 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:28:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1585, decode.loss_grad: 0.0000, loss: 0.1585, grad_norm: 0.0647 2024-01-03 17:09:51,350 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:28:49, time: 0.053, data_time: 0.002, memory: 811, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0697 2024-01-03 17:09:54,043 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:28:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.0657 2024-01-03 17:09:56,787 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:28:42, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.0640 2024-01-03 17:09:59,503 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:28:39, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1576, decode.loss_grad: 0.0000, loss: 0.1576, grad_norm: 0.0638 2024-01-03 17:10:02,228 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:28:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1525, decode.loss_grad: 0.0000, loss: 0.1525, grad_norm: 0.0612 2024-01-03 17:10:04,920 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:28:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1575, decode.loss_grad: 0.0000, loss: 0.1575, grad_norm: 0.0636 2024-01-03 17:10:07,616 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:28:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1564, decode.loss_grad: 0.0000, loss: 0.1564, grad_norm: 0.0660 2024-01-03 17:10:10,322 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:10:10,322 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:28:24, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1581, decode.loss_grad: 0.0000, loss: 0.1581, grad_norm: 0.0628 2024-01-03 17:10:13,108 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:28:21, time: 0.056, data_time: 0.002, memory: 811, decode.loss_depth: 0.1555, decode.loss_grad: 0.0000, loss: 0.1555, grad_norm: 0.0596 2024-01-03 17:10:17,897 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:28:24, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1548, decode.loss_grad: 0.0000, loss: 0.1548, grad_norm: 0.0588 2024-01-03 17:10:20,622 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:28:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1550, decode.loss_grad: 0.0000, loss: 0.1550, grad_norm: 0.0613 2024-01-03 17:10:23,351 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:28:17, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1516, decode.loss_grad: 0.0000, loss: 0.1516, grad_norm: 0.0599 2024-01-03 17:10:26,074 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:28:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1515, decode.loss_grad: 0.0000, loss: 0.1515, grad_norm: 0.0577 2024-01-03 17:10:28,779 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:28:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1538, decode.loss_grad: 0.0000, loss: 0.1538, grad_norm: 0.0635 2024-01-03 17:10:31,476 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:28:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1535, decode.loss_grad: 0.0000, loss: 0.1535, grad_norm: 0.0612 2024-01-03 17:10:34,199 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:28:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1577, decode.loss_grad: 0.0000, loss: 0.1577, grad_norm: 0.0613 2024-01-03 17:10:36,903 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:28:00, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1533, decode.loss_grad: 0.0000, loss: 0.1533, grad_norm: 0.0567 2024-01-03 17:10:39,623 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:27:56, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1545, decode.loss_grad: 0.0000, loss: 0.1545, grad_norm: 0.0573 2024-01-03 17:10:42,323 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:27:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1533, decode.loss_grad: 0.0000, loss: 0.1533, grad_norm: 0.0605 2024-01-03 17:10:45,043 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:10:45,057 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:27:49, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1567, decode.loss_grad: 0.0000, loss: 0.1567, grad_norm: 0.0601 2024-01-03 17:10:50,162 - mmseg - INFO - Summary: 2024-01-03 17:10:50,163 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.7184 | 0.9427 | 0.989 | 0.184 | 0.5872 | 0.075 | 0.2143 | 17.3833 | 0.1417 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:10:50,164 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_6400.pth was removed 2024-01-03 17:10:50,177 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 17:10:50,177 - mmseg - INFO - Best abs_rel is 0.1840 at 9600 iter. 2024-01-03 17:10:50,178 - mmseg - INFO - Iter(val) [82] a1: 0.7184, a2: 0.9427, a3: 0.9890, abs_rel: 0.18404649198055267, rmse: 0.5872205495834351, log_10: 0.07503324002027512, rmse_log: 0.21427904069423676, silog: 17.3833, sq_rel: 0.1416746824979782 2024-01-03 17:10:52,869 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:28:01, time: 0.156, data_time: 0.105, memory: 811, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.0580 2024-01-03 17:10:55,584 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:27:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1573, decode.loss_grad: 0.0000, loss: 0.1573, grad_norm: 0.0597 2024-01-03 17:10:58,311 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:27:54, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1566, decode.loss_grad: 0.0000, loss: 0.1566, grad_norm: 0.0576 2024-01-03 17:11:01,013 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:27:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1547, decode.loss_grad: 0.0000, loss: 0.1547, grad_norm: 0.0578 2024-01-03 17:11:03,718 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:27:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1583, decode.loss_grad: 0.0000, loss: 0.1583, grad_norm: 0.0590 2024-01-03 17:11:06,422 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:27:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1528, decode.loss_grad: 0.0000, loss: 0.1528, grad_norm: 0.0570 2024-01-03 17:11:09,104 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:27:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1562, decode.loss_grad: 0.0000, loss: 0.1562, grad_norm: 0.0567 2024-01-03 17:11:11,800 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:11:11,800 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:27:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1563, decode.loss_grad: 0.0000, loss: 0.1563, grad_norm: 0.0582 2024-01-03 17:11:14,497 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:27:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1593, decode.loss_grad: 0.0000, loss: 0.1593, grad_norm: 0.0575 2024-01-03 17:11:17,235 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:27:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1533, decode.loss_grad: 0.0000, loss: 0.1533, grad_norm: 0.0557 2024-01-03 17:11:19,962 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:27:26, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.0556 2024-01-03 17:11:22,660 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:27:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1530, decode.loss_grad: 0.0000, loss: 0.1530, grad_norm: 0.0558 2024-01-03 17:11:25,376 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:27:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1539, decode.loss_grad: 0.0000, loss: 0.1539, grad_norm: 0.0533 2024-01-03 17:11:28,115 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:27:16, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1579, decode.loss_grad: 0.0000, loss: 0.1579, grad_norm: 0.0586 2024-01-03 17:11:30,843 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:27:12, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1572, decode.loss_grad: 0.0000, loss: 0.1572, grad_norm: 0.0568 2024-01-03 17:11:33,559 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:27:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1520, decode.loss_grad: 0.0000, loss: 0.1520, grad_norm: 0.0551 2024-01-03 17:11:36,284 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:27:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1525, decode.loss_grad: 0.0000, loss: 0.1525, grad_norm: 0.0521 2024-01-03 17:11:38,997 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:27:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1549, decode.loss_grad: 0.0000, loss: 0.1549, grad_norm: 0.0551 2024-01-03 17:11:41,718 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:26:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1535, decode.loss_grad: 0.0000, loss: 0.1535, grad_norm: 0.0541 2024-01-03 17:11:46,501 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:27:01, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1560, decode.loss_grad: 0.0000, loss: 0.1560, grad_norm: 0.0556 2024-01-03 17:11:49,220 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:26:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1526, decode.loss_grad: 0.0000, loss: 0.1526, grad_norm: 0.0514 2024-01-03 17:11:51,978 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:26:54, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1545, decode.loss_grad: 0.0000, loss: 0.1545, grad_norm: 0.0520 2024-01-03 17:11:54,686 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:26:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1525, decode.loss_grad: 0.0000, loss: 0.1525, grad_norm: 0.0525 2024-01-03 17:11:57,410 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:26:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1508, decode.loss_grad: 0.0000, loss: 0.1508, grad_norm: 0.0515 2024-01-03 17:12:00,129 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:26:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1520, decode.loss_grad: 0.0000, loss: 0.1520, grad_norm: 0.0514 2024-01-03 17:12:02,863 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:26:40, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1519, decode.loss_grad: 0.0000, loss: 0.1519, grad_norm: 0.0531 2024-01-03 17:12:05,560 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:26:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1520, decode.loss_grad: 0.0000, loss: 0.1520, grad_norm: 0.0518 2024-01-03 17:12:08,246 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:08,246 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:26:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1478, decode.loss_grad: 0.0000, loss: 0.1478, grad_norm: 0.0506 2024-01-03 17:12:10,977 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:26:30, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.0497 2024-01-03 17:12:13,695 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:26:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1499, decode.loss_grad: 0.0000, loss: 0.1499, grad_norm: 0.0501 2024-01-03 17:12:16,417 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:26:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1494, decode.loss_grad: 0.0000, loss: 0.1494, grad_norm: 0.0505 2024-01-03 17:12:19,141 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:12:19,155 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:26:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1518, decode.loss_grad: 0.0000, loss: 0.1518, grad_norm: 0.0518 2024-01-03 17:12:21,844 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:26:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1486, decode.loss_grad: 0.0000, loss: 0.1486, grad_norm: 0.0494 2024-01-03 17:12:24,542 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:26:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0493 2024-01-03 17:12:27,250 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:26:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1484, decode.loss_grad: 0.0000, loss: 0.1484, grad_norm: 0.0478 2024-01-03 17:12:29,960 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:26:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1481, decode.loss_grad: 0.0000, loss: 0.1481, grad_norm: 0.0484 2024-01-03 17:12:32,679 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:26:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1516, decode.loss_grad: 0.0000, loss: 0.1516, grad_norm: 0.0519 2024-01-03 17:12:35,406 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:26:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1534, decode.loss_grad: 0.0000, loss: 0.1534, grad_norm: 0.0492 2024-01-03 17:12:38,137 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:25:56, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1500, decode.loss_grad: 0.0000, loss: 0.1500, grad_norm: 0.0494 2024-01-03 17:12:40,826 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:25:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1502, decode.loss_grad: 0.0000, loss: 0.1502, grad_norm: 0.0502 2024-01-03 17:12:43,546 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:25:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1495, decode.loss_grad: 0.0000, loss: 0.1495, grad_norm: 0.0455 2024-01-03 17:12:46,260 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:25:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1523, decode.loss_grad: 0.0000, loss: 0.1523, grad_norm: 0.0529 2024-01-03 17:12:48,971 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:25:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1507, decode.loss_grad: 0.0000, loss: 0.1507, grad_norm: 0.0464 2024-01-03 17:12:51,679 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:25:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1512, decode.loss_grad: 0.0000, loss: 0.1512, grad_norm: 0.0500 2024-01-03 17:12:54,378 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:25:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1505, decode.loss_grad: 0.0000, loss: 0.1505, grad_norm: 0.0482 2024-01-03 17:12:57,111 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:25:33, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1528, decode.loss_grad: 0.0000, loss: 0.1528, grad_norm: 0.0490 2024-01-03 17:12:59,834 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:25:30, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1494, decode.loss_grad: 0.0000, loss: 0.1494, grad_norm: 0.0488 2024-01-03 17:13:02,530 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:13:02,530 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:25:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1481, decode.loss_grad: 0.0000, loss: 0.1481, grad_norm: 0.0460 2024-01-03 17:13:05,252 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:25:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1512, decode.loss_grad: 0.0000, loss: 0.1512, grad_norm: 0.0465 2024-01-03 17:13:07,940 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:25:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1523, decode.loss_grad: 0.0000, loss: 0.1523, grad_norm: 0.0469 2024-01-03 17:13:12,742 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:25:21, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1461, decode.loss_grad: 0.0000, loss: 0.1461, grad_norm: 0.0461 2024-01-03 17:13:15,490 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:25:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1492, decode.loss_grad: 0.0000, loss: 0.1492, grad_norm: 0.0462 2024-01-03 17:13:18,232 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:25:15, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1490, decode.loss_grad: 0.0000, loss: 0.1490, grad_norm: 0.0476 2024-01-03 17:13:20,928 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:25:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1501, decode.loss_grad: 0.0000, loss: 0.1501, grad_norm: 0.0474 2024-01-03 17:13:23,648 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:25:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.0470 2024-01-03 17:13:26,372 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:25:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1498, decode.loss_grad: 0.0000, loss: 0.1498, grad_norm: 0.0472 2024-01-03 17:13:29,077 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:25:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1500, decode.loss_grad: 0.0000, loss: 0.1500, grad_norm: 0.0465 2024-01-03 17:13:31,786 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:24:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1470, decode.loss_grad: 0.0000, loss: 0.1470, grad_norm: 0.0436 2024-01-03 17:13:34,489 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:24:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1498, decode.loss_grad: 0.0000, loss: 0.1498, grad_norm: 0.0452 2024-01-03 17:13:37,187 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:24:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1477, decode.loss_grad: 0.0000, loss: 0.1477, grad_norm: 0.0452 2024-01-03 17:13:39,917 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:24:49, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1504, decode.loss_grad: 0.0000, loss: 0.1504, grad_norm: 0.0440 2024-01-03 17:13:42,609 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:24:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1478, decode.loss_grad: 0.0000, loss: 0.1478, grad_norm: 0.0432 2024-01-03 17:13:45,290 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:24:42, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1496, decode.loss_grad: 0.0000, loss: 0.1496, grad_norm: 0.0482 2024-01-03 17:13:48,036 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:13:48,055 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:24:39, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1477, decode.loss_grad: 0.0000, loss: 0.1477, grad_norm: 0.0451 2024-01-03 17:13:53,154 - mmseg - INFO - Summary: 2024-01-03 17:13:53,154 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7214 | 0.9485 | 0.9918 | 0.1739 | 0.5791 | 0.0736 | 0.2108 | 17.2671 | 0.1277 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:13:53,156 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_9600.pth was removed 2024-01-03 17:13:53,168 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:13:53,168 - mmseg - INFO - Best abs_rel is 0.1739 at 12800 iter. 2024-01-03 17:13:53,168 - mmseg - INFO - Iter(val) [82] a1: 0.7214, a2: 0.9485, a3: 0.9918, abs_rel: 0.17386673390865326, rmse: 0.5791302919387817, log_10: 0.07356433570384979, rmse_log: 0.21077567338943481, silog: 17.2671, sq_rel: 0.1277463734149933 2024-01-03 17:13:55,896 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:24:46, time: 0.157, data_time: 0.104, memory: 811, decode.loss_depth: 0.1487, decode.loss_grad: 0.0000, loss: 0.1487, grad_norm: 0.0457 2024-01-03 17:13:58,615 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:24:42, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1486, decode.loss_grad: 0.0000, loss: 0.1486, grad_norm: 0.0448 2024-01-03 17:14:01,318 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:24:39, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1468, decode.loss_grad: 0.0000, loss: 0.1468, grad_norm: 0.0469 2024-01-03 17:14:04,038 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:04,039 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:24:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1480, decode.loss_grad: 0.0000, loss: 0.1480, grad_norm: 0.0443 2024-01-03 17:14:06,756 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:24:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0471 2024-01-03 17:14:09,486 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:24:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1454, decode.loss_grad: 0.0000, loss: 0.1454, grad_norm: 0.0439 2024-01-03 17:14:12,196 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:24:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1470, decode.loss_grad: 0.0000, loss: 0.1470, grad_norm: 0.0436 2024-01-03 17:14:14,903 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:24:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1480, decode.loss_grad: 0.0000, loss: 0.1480, grad_norm: 0.0439 2024-01-03 17:14:17,630 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:24:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1484, decode.loss_grad: 0.0000, loss: 0.1484, grad_norm: 0.0444 2024-01-03 17:14:20,354 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:24:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1487, decode.loss_grad: 0.0000, loss: 0.1487, grad_norm: 0.0438 2024-01-03 17:14:23,079 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:24:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1494, decode.loss_grad: 0.0000, loss: 0.1494, grad_norm: 0.0437 2024-01-03 17:14:25,792 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:24:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1476, decode.loss_grad: 0.0000, loss: 0.1476, grad_norm: 0.0435 2024-01-03 17:14:28,511 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:24:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1443, decode.loss_grad: 0.0000, loss: 0.1443, grad_norm: 0.0402 2024-01-03 17:14:31,239 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:24:03, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.0431 2024-01-03 17:14:33,969 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:24:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1477, decode.loss_grad: 0.0000, loss: 0.1477, grad_norm: 0.0433 2024-01-03 17:14:36,710 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:23:57, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1485, decode.loss_grad: 0.0000, loss: 0.1485, grad_norm: 0.0426 2024-01-03 17:14:41,498 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:23:57, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1442, decode.loss_grad: 0.0000, loss: 0.1442, grad_norm: 0.0421 2024-01-03 17:14:44,210 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:23:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.0417 2024-01-03 17:14:46,902 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:23:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.0399 2024-01-03 17:14:49,610 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:23:48, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1467, decode.loss_grad: 0.0000, loss: 0.1467, grad_norm: 0.0414 2024-01-03 17:14:52,355 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:23:45, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.0436 2024-01-03 17:14:55,058 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:23:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1458, decode.loss_grad: 0.0000, loss: 0.1458, grad_norm: 0.0434 2024-01-03 17:14:57,789 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:23:38, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1470, decode.loss_grad: 0.0000, loss: 0.1470, grad_norm: 0.0421 2024-01-03 17:15:00,492 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:00,492 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:23:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.0422 2024-01-03 17:15:03,245 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:23:32, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1441, decode.loss_grad: 0.0000, loss: 0.1441, grad_norm: 0.0416 2024-01-03 17:15:05,996 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:23:28, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1402, decode.loss_grad: 0.0000, loss: 0.1402, grad_norm: 0.0418 2024-01-03 17:15:08,736 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:23:25, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0377 2024-01-03 17:15:11,471 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:23:22, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1428, decode.loss_grad: 0.0000, loss: 0.1428, grad_norm: 0.0412 2024-01-03 17:15:14,191 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:23:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0389 2024-01-03 17:15:16,908 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:23:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1413, decode.loss_grad: 0.0000, loss: 0.1413, grad_norm: 0.0377 2024-01-03 17:15:19,630 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:23:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0399 2024-01-03 17:15:22,340 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:15:22,352 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:23:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0387 2024-01-03 17:15:25,044 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:23:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1462, decode.loss_grad: 0.0000, loss: 0.1462, grad_norm: 0.0434 2024-01-03 17:15:27,763 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:23:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1445, decode.loss_grad: 0.0000, loss: 0.1445, grad_norm: 0.0425 2024-01-03 17:15:30,457 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:23:00, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1442, decode.loss_grad: 0.0000, loss: 0.1442, grad_norm: 0.0406 2024-01-03 17:15:33,159 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:22:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1432, decode.loss_grad: 0.0000, loss: 0.1432, grad_norm: 0.0407 2024-01-03 17:15:35,882 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:22:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.0392 2024-01-03 17:15:38,625 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:22:50, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1435, decode.loss_grad: 0.0000, loss: 0.1435, grad_norm: 0.0423 2024-01-03 17:15:41,360 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:22:47, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1466, decode.loss_grad: 0.0000, loss: 0.1466, grad_norm: 0.0411 2024-01-03 17:15:44,085 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:22:44, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.0418 2024-01-03 17:15:46,816 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:22:41, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0384 2024-01-03 17:15:49,520 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:22:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.0403 2024-01-03 17:15:52,241 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:22:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1441, decode.loss_grad: 0.0000, loss: 0.1441, grad_norm: 0.0396 2024-01-03 17:15:54,942 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:54,942 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:22:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0376 2024-01-03 17:15:57,650 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:22:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.0402 2024-01-03 17:16:00,371 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:22:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1393, decode.loss_grad: 0.0000, loss: 0.1393, grad_norm: 0.0379 2024-01-03 17:16:05,139 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:22:25, time: 0.095, data_time: 0.044, memory: 811, decode.loss_depth: 0.1389, decode.loss_grad: 0.0000, loss: 0.1389, grad_norm: 0.0358 2024-01-03 17:16:07,883 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:22:22, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1412, decode.loss_grad: 0.0000, loss: 0.1412, grad_norm: 0.0381 2024-01-03 17:16:10,584 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:22:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1398, decode.loss_grad: 0.0000, loss: 0.1398, grad_norm: 0.0401 2024-01-03 17:16:13,300 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:22:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1377, decode.loss_grad: 0.0000, loss: 0.1377, grad_norm: 0.0395 2024-01-03 17:16:16,006 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:22:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1431, decode.loss_grad: 0.0000, loss: 0.1431, grad_norm: 0.0391 2024-01-03 17:16:18,750 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:22:09, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0384 2024-01-03 17:16:21,453 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:22:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0379 2024-01-03 17:16:24,162 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:22:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1434, decode.loss_grad: 0.0000, loss: 0.1434, grad_norm: 0.0405 2024-01-03 17:16:26,883 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:22:00, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1394, decode.loss_grad: 0.0000, loss: 0.1394, grad_norm: 0.0391 2024-01-03 17:16:29,607 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:21:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1405, decode.loss_grad: 0.0000, loss: 0.1405, grad_norm: 0.0392 2024-01-03 17:16:32,330 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:21:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1411, decode.loss_grad: 0.0000, loss: 0.1411, grad_norm: 0.0410 2024-01-03 17:16:35,070 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:21:50, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1414, decode.loss_grad: 0.0000, loss: 0.1414, grad_norm: 0.0398 2024-01-03 17:16:37,789 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:21:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0389 2024-01-03 17:16:40,528 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:21:44, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1421, decode.loss_grad: 0.0000, loss: 0.1421, grad_norm: 0.0401 2024-01-03 17:16:43,232 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:21:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0369 2024-01-03 17:16:45,906 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:21:38, time: 0.053, data_time: 0.002, memory: 811, decode.loss_depth: 0.1427, decode.loss_grad: 0.0000, loss: 0.1427, grad_norm: 0.0395 2024-01-03 17:16:48,619 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:21:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.0379 2024-01-03 17:16:51,301 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:16:51,314 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:51,315 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:21:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1418, decode.loss_grad: 0.0000, loss: 0.1418, grad_norm: 0.0368 2024-01-03 17:16:56,453 - mmseg - INFO - Summary: 2024-01-03 17:16:56,453 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7373 | 0.9502 | 0.9913 | 0.1737 | 0.5653 | 0.0717 | 0.2061 | 17.0672 | 0.1261 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:16:56,455 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:16:56,464 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_16000.pth. 2024-01-03 17:16:56,464 - mmseg - INFO - Best abs_rel is 0.1737 at 16000 iter. 2024-01-03 17:16:56,464 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:56,464 - mmseg - INFO - Iter(val) [82] a1: 0.7373, a2: 0.9502, a3: 0.9913, abs_rel: 0.17372512817382812, rmse: 0.5653037428855896, log_10: 0.07167461514472961, rmse_log: 0.206067755818367, silog: 17.0672, sq_rel: 0.1260707527399063 2024-01-03 17:16:59,169 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:21:36, time: 0.157, data_time: 0.105, memory: 811, decode.loss_depth: 0.1402, decode.loss_grad: 0.0000, loss: 0.1402, grad_norm: 0.0386 2024-01-03 17:17:01,857 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:21:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1377, decode.loss_grad: 0.0000, loss: 0.1377, grad_norm: 0.0381 2024-01-03 17:17:04,581 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:21:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1394, decode.loss_grad: 0.0000, loss: 0.1394, grad_norm: 0.0383 2024-01-03 17:17:07,308 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:21:26, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0390 2024-01-03 17:17:10,059 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:21:23, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1396, decode.loss_grad: 0.0000, loss: 0.1396, grad_norm: 0.0363 2024-01-03 17:17:12,769 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:21:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1391, decode.loss_grad: 0.0000, loss: 0.1391, grad_norm: 0.0378 2024-01-03 17:17:15,509 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:21:17, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0374 2024-01-03 17:17:18,237 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:21:14, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1388, decode.loss_grad: 0.0000, loss: 0.1388, grad_norm: 0.0375 2024-01-03 17:17:20,968 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:21:11, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0381 2024-01-03 17:17:23,693 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:21:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1415, decode.loss_grad: 0.0000, loss: 0.1415, grad_norm: 0.0392 2024-01-03 17:17:26,406 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:21:04, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1361, decode.loss_grad: 0.0000, loss: 0.1361, grad_norm: 0.0373 2024-01-03 17:17:29,109 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:21:01, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1381, decode.loss_grad: 0.0000, loss: 0.1381, grad_norm: 0.0363 2024-01-03 17:17:31,826 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:20:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0381 2024-01-03 17:17:36,615 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:20:58, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0350 2024-01-03 17:17:39,323 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:20:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1366, decode.loss_grad: 0.0000, loss: 0.1366, grad_norm: 0.0359 2024-01-03 17:17:42,026 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:20:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1381, decode.loss_grad: 0.0000, loss: 0.1381, grad_norm: 0.0379 2024-01-03 17:17:44,735 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:20:48, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1360, decode.loss_grad: 0.0000, loss: 0.1360, grad_norm: 0.0379 2024-01-03 17:17:47,432 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:20:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1394, decode.loss_grad: 0.0000, loss: 0.1394, grad_norm: 0.0380 2024-01-03 17:17:50,132 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:20:42, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1359, decode.loss_grad: 0.0000, loss: 0.1359, grad_norm: 0.0370 2024-01-03 17:17:52,859 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:52,859 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:20:39, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1356, decode.loss_grad: 0.0000, loss: 0.1356, grad_norm: 0.0371 2024-01-03 17:17:55,588 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:20:36, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1368, decode.loss_grad: 0.0000, loss: 0.1368, grad_norm: 0.0373 2024-01-03 17:17:58,280 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:20:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.0375 2024-01-03 17:18:01,009 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:20:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1361, decode.loss_grad: 0.0000, loss: 0.1361, grad_norm: 0.0367 2024-01-03 17:18:03,725 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:20:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1337, decode.loss_grad: 0.0000, loss: 0.1337, grad_norm: 0.0369 2024-01-03 17:18:06,438 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:20:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1374, decode.loss_grad: 0.0000, loss: 0.1374, grad_norm: 0.0373 2024-01-03 17:18:09,176 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:20:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1359, decode.loss_grad: 0.0000, loss: 0.1359, grad_norm: 0.0356 2024-01-03 17:18:11,887 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:20:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0359 2024-01-03 17:18:14,609 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:20:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1348, decode.loss_grad: 0.0000, loss: 0.1348, grad_norm: 0.0360 2024-01-03 17:18:17,342 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:20:11, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1342, decode.loss_grad: 0.0000, loss: 0.1342, grad_norm: 0.0357 2024-01-03 17:18:20,082 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:20:08, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0357 2024-01-03 17:18:22,802 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:20:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.0357 2024-01-03 17:18:25,511 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:18:25,524 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:20:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1398, decode.loss_grad: 0.0000, loss: 0.1398, grad_norm: 0.0375 2024-01-03 17:18:28,225 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:19:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.0361 2024-01-03 17:18:30,918 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:19:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1350, decode.loss_grad: 0.0000, loss: 0.1350, grad_norm: 0.0368 2024-01-03 17:18:33,637 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:19:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1397, decode.loss_grad: 0.0000, loss: 0.1397, grad_norm: 0.0383 2024-01-03 17:18:36,361 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:19:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1364, decode.loss_grad: 0.0000, loss: 0.1364, grad_norm: 0.0352 2024-01-03 17:18:39,099 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:19:46, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1361, decode.loss_grad: 0.0000, loss: 0.1361, grad_norm: 0.0382 2024-01-03 17:18:41,912 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:19:43, time: 0.056, data_time: 0.002, memory: 811, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0386 2024-01-03 17:18:44,641 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:19:40, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.0369 2024-01-03 17:18:47,334 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:18:47,334 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:19:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1384, decode.loss_grad: 0.0000, loss: 0.1384, grad_norm: 0.0382 2024-01-03 17:18:50,036 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:19:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0369 2024-01-03 17:18:52,720 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:19:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1345, decode.loss_grad: 0.0000, loss: 0.1345, grad_norm: 0.0372 2024-01-03 17:18:55,414 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:19:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1358, decode.loss_grad: 0.0000, loss: 0.1358, grad_norm: 0.0382 2024-01-03 17:19:00,211 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:19:27, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1365, decode.loss_grad: 0.0000, loss: 0.1365, grad_norm: 0.0374 2024-01-03 17:19:02,894 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:19:24, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0367 2024-01-03 17:19:05,598 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:19:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1358, decode.loss_grad: 0.0000, loss: 0.1358, grad_norm: 0.0363 2024-01-03 17:19:08,327 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:19:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0364 2024-01-03 17:19:11,028 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:19:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.0361 2024-01-03 17:19:13,724 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:19:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.0371 2024-01-03 17:19:16,448 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:19:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0354 2024-01-03 17:19:19,156 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:19:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1307, decode.loss_grad: 0.0000, loss: 0.1307, grad_norm: 0.0340 2024-01-03 17:19:21,851 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:19:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.0356 2024-01-03 17:19:24,567 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:18:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1334, decode.loss_grad: 0.0000, loss: 0.1334, grad_norm: 0.0369 2024-01-03 17:19:27,274 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:18:56, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1317, decode.loss_grad: 0.0000, loss: 0.1317, grad_norm: 0.0354 2024-01-03 17:19:29,974 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:18:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.0358 2024-01-03 17:19:32,675 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:18:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1336, decode.loss_grad: 0.0000, loss: 0.1336, grad_norm: 0.0348 2024-01-03 17:19:35,402 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:18:47, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0362 2024-01-03 17:19:38,105 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:18:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1364, decode.loss_grad: 0.0000, loss: 0.1364, grad_norm: 0.0386 2024-01-03 17:19:40,806 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:18:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.0370 2024-01-03 17:19:43,522 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:43,522 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:18:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0337 2024-01-03 17:19:46,261 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:18:35, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0376 2024-01-03 17:19:48,976 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:18:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0353 2024-01-03 17:19:51,677 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:18:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0348 2024-01-03 17:19:54,389 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:19:54,403 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:18:25, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1334, decode.loss_grad: 0.0000, loss: 0.1334, grad_norm: 0.0357 2024-01-03 17:19:59,517 - mmseg - INFO - Summary: 2024-01-03 17:19:59,518 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.7359 | 0.9524 | 0.9917 | 0.1721 | 0.566 | 0.0716 | 0.2057 | 17.0421 | 0.1249 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:19:59,519 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_16000.pth was removed 2024-01-03 17:19:59,529 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_19200.pth. 2024-01-03 17:19:59,529 - mmseg - INFO - Best abs_rel is 0.1721 at 19200 iter. 2024-01-03 17:19:59,530 - mmseg - INFO - Iter(val) [82] a1: 0.7359, a2: 0.9524, a3: 0.9917, abs_rel: 0.1721378117799759, rmse: 0.5660242438316345, log_10: 0.07157241553068161, rmse_log: 0.205677792429924, silog: 17.0421, sq_rel: 0.12487293779850006 2024-01-03 17:20:02,240 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:18:28, time: 0.157, data_time: 0.105, memory: 811, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0371 2024-01-03 17:20:04,956 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:18:24, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.0371 2024-01-03 17:20:07,705 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:18:21, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0366 2024-01-03 17:20:10,430 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:18:18, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1324, decode.loss_grad: 0.0000, loss: 0.1324, grad_norm: 0.0357 2024-01-03 17:20:13,126 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:18:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.0357 2024-01-03 17:20:15,862 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:18:12, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0355 2024-01-03 17:20:18,566 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:18:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0357 2024-01-03 17:20:21,287 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:18:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0364 2024-01-03 17:20:23,998 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:18:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0358 2024-01-03 17:20:28,782 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:18:02, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0361 2024-01-03 17:20:31,487 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:17:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0347 2024-01-03 17:20:34,211 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:17:56, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1312, decode.loss_grad: 0.0000, loss: 0.1312, grad_norm: 0.0333 2024-01-03 17:20:36,938 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:17:53, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0334 2024-01-03 17:20:39,625 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:17:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0354 2024-01-03 17:20:42,322 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:17:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0361 2024-01-03 17:20:45,025 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:45,025 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:17:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1329, decode.loss_grad: 0.0000, loss: 0.1329, grad_norm: 0.0346 2024-01-03 17:20:47,772 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:17:41, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0352 2024-01-03 17:20:50,478 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:17:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1297, decode.loss_grad: 0.0000, loss: 0.1297, grad_norm: 0.0352 2024-01-03 17:20:53,172 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:17:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1322, decode.loss_grad: 0.0000, loss: 0.1322, grad_norm: 0.0367 2024-01-03 17:20:55,885 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:17:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1314, decode.loss_grad: 0.0000, loss: 0.1314, grad_norm: 0.0360 2024-01-03 17:20:58,610 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:17:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0359 2024-01-03 17:21:01,324 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:17:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0354 2024-01-03 17:21:04,036 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:17:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0356 2024-01-03 17:21:06,749 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:17:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1330, decode.loss_grad: 0.0000, loss: 0.1330, grad_norm: 0.0366 2024-01-03 17:21:09,448 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:17:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0335 2024-01-03 17:21:12,149 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:17:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.0363 2024-01-03 17:21:14,874 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:17:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0375 2024-01-03 17:21:17,562 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:17:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0353 2024-01-03 17:21:20,296 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:17:04, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1282, decode.loss_grad: 0.0000, loss: 0.1282, grad_norm: 0.0346 2024-01-03 17:21:23,000 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:17:01, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0360 2024-01-03 17:21:25,729 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:16:58, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0350 2024-01-03 17:21:28,416 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:21:28,429 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:16:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0350 2024-01-03 17:21:31,153 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:16:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.0356 2024-01-03 17:21:33,868 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:16:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0343 2024-01-03 17:21:36,592 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:16:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0343 2024-01-03 17:21:39,298 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:39,298 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:16:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0361 2024-01-03 17:21:42,024 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:16:40, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0340 2024-01-03 17:21:44,727 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:16:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0375 2024-01-03 17:21:47,481 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:16:34, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0365 2024-01-03 17:21:52,272 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:16:32, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0357 2024-01-03 17:21:54,962 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:16:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0329 2024-01-03 17:21:57,671 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:16:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0360 2024-01-03 17:22:00,413 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:16:23, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0372 2024-01-03 17:22:03,136 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:16:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0360 2024-01-03 17:22:05,849 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:16:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1310, decode.loss_grad: 0.0000, loss: 0.1310, grad_norm: 0.0371 2024-01-03 17:22:08,542 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:16:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1296, decode.loss_grad: 0.0000, loss: 0.1296, grad_norm: 0.0336 2024-01-03 17:22:11,244 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:16:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0358 2024-01-03 17:22:13,913 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:16:08, time: 0.053, data_time: 0.002, memory: 811, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.0349 2024-01-03 17:22:16,654 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:16:05, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1296, decode.loss_grad: 0.0000, loss: 0.1296, grad_norm: 0.0344 2024-01-03 17:22:19,358 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:16:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0356 2024-01-03 17:22:22,079 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:15:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1269, decode.loss_grad: 0.0000, loss: 0.1269, grad_norm: 0.0339 2024-01-03 17:22:24,812 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:15:56, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1261, decode.loss_grad: 0.0000, loss: 0.1261, grad_norm: 0.0356 2024-01-03 17:22:27,550 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:15:53, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0363 2024-01-03 17:22:30,252 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:15:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1308, decode.loss_grad: 0.0000, loss: 0.1308, grad_norm: 0.0340 2024-01-03 17:22:32,962 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:15:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1284, decode.loss_grad: 0.0000, loss: 0.1284, grad_norm: 0.0346 2024-01-03 17:22:35,692 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:22:35,692 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:15:44, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0348 2024-01-03 17:22:38,392 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:15:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0355 2024-01-03 17:22:41,085 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:15:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0350 2024-01-03 17:22:43,791 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:15:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.0344 2024-01-03 17:22:46,529 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:15:32, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0342 2024-01-03 17:22:49,261 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:15:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1282, decode.loss_grad: 0.0000, loss: 0.1282, grad_norm: 0.0376 2024-01-03 17:22:51,976 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:15:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0347 2024-01-03 17:22:54,694 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:15:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0345 2024-01-03 17:22:57,411 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:22:57,425 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:15:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1301, decode.loss_grad: 0.0000, loss: 0.1301, grad_norm: 0.0351 2024-01-03 17:23:02,583 - mmseg - INFO - Summary: 2024-01-03 17:23:02,584 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7429 | 0.9535 | 0.9922 | 0.1667 | 0.5614 | 0.0706 | 0.2033 | 16.9369 | 0.1196 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:23:02,585 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_19200.pth was removed 2024-01-03 17:23:02,595 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 17:23:02,595 - mmseg - INFO - Best abs_rel is 0.1667 at 22400 iter. 2024-01-03 17:23:02,596 - mmseg - INFO - Iter(val) [82] a1: 0.7429, a2: 0.9535, a3: 0.9922, abs_rel: 0.1666850447654724, rmse: 0.5614360570907593, log_10: 0.07059633731842041, rmse_log: 0.20334506034851074, silog: 16.9369, sq_rel: 0.11956395208835602 2024-01-03 17:23:05,317 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:15:21, time: 0.158, data_time: 0.105, memory: 811, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0315 2024-01-03 17:23:08,025 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:15:18, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0339 2024-01-03 17:23:10,755 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:15:15, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0356 2024-01-03 17:23:13,471 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:15:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.0345 2024-01-03 17:23:16,183 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:15:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0352 2024-01-03 17:23:18,905 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:15:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0336 2024-01-03 17:23:23,691 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:15:04, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0349 2024-01-03 17:23:26,434 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:15:01, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0349 2024-01-03 17:23:29,157 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:14:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0343 2024-01-03 17:23:31,885 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:14:55, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0356 2024-01-03 17:23:34,594 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:14:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0341 2024-01-03 17:23:37,307 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:37,307 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:14:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0354 2024-01-03 17:23:40,039 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:14:46, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1282, decode.loss_grad: 0.0000, loss: 0.1282, grad_norm: 0.0338 2024-01-03 17:23:42,730 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:14:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0344 2024-01-03 17:23:45,447 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:14:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0345 2024-01-03 17:23:48,154 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:14:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0327 2024-01-03 17:23:50,859 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:14:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0364 2024-01-03 17:23:53,564 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:14:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1271, decode.loss_grad: 0.0000, loss: 0.1271, grad_norm: 0.0355 2024-01-03 17:23:56,282 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:14:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0345 2024-01-03 17:23:58,999 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:14:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0332 2024-01-03 17:24:01,735 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:14:22, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0354 2024-01-03 17:24:04,445 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:14:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0341 2024-01-03 17:24:07,162 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:14:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0348 2024-01-03 17:24:09,871 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:14:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0348 2024-01-03 17:24:12,586 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:14:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.0343 2024-01-03 17:24:15,293 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:14:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0343 2024-01-03 17:24:18,031 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:14:04, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0342 2024-01-03 17:24:20,750 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:14:01, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0352 2024-01-03 17:24:23,443 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:13:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0344 2024-01-03 17:24:26,167 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:13:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0335 2024-01-03 17:24:28,876 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:13:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0350 2024-01-03 17:24:31,574 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:24:31,587 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:31,587 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:13:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0345 2024-01-03 17:24:34,270 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:13:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0339 2024-01-03 17:24:37,013 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:13:43, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0350 2024-01-03 17:24:39,700 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:13:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1269, decode.loss_grad: 0.0000, loss: 0.1269, grad_norm: 0.0347 2024-01-03 17:24:42,427 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:13:37, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0345 2024-01-03 17:24:47,197 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:13:36, time: 0.095, data_time: 0.043, memory: 811, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0338 2024-01-03 17:24:49,911 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:13:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0360 2024-01-03 17:24:52,609 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:13:30, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0333 2024-01-03 17:24:55,319 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:13:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0339 2024-01-03 17:24:58,048 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:13:24, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0335 2024-01-03 17:25:00,798 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:13:21, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0345 2024-01-03 17:25:03,535 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:13:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0323 2024-01-03 17:25:06,252 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:13:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0330 2024-01-03 17:25:08,966 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:13:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0336 2024-01-03 17:25:11,703 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:13:09, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0344 2024-01-03 17:25:14,402 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:13:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0344 2024-01-03 17:25:17,156 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:13:03, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0338 2024-01-03 17:25:19,897 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:13:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1271, decode.loss_grad: 0.0000, loss: 0.1271, grad_norm: 0.0348 2024-01-03 17:25:22,632 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:12:57, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0342 2024-01-03 17:25:25,337 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:12:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0348 2024-01-03 17:25:28,044 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:28,044 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:12:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0343 2024-01-03 17:25:30,777 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:12:48, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0344 2024-01-03 17:25:33,467 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:12:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0322 2024-01-03 17:25:36,151 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:12:42, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0334 2024-01-03 17:25:38,869 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:12:39, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0343 2024-01-03 17:25:41,573 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:12:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0335 2024-01-03 17:25:44,270 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:12:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0340 2024-01-03 17:25:46,979 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:12:30, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0344 2024-01-03 17:25:49,722 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:12:27, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0328 2024-01-03 17:25:52,443 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:12:24, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0330 2024-01-03 17:25:55,156 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:12:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0333 2024-01-03 17:25:57,870 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:12:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0340 2024-01-03 17:26:00,582 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:26:00,596 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:12:16, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.0336 2024-01-03 17:26:05,723 - mmseg - INFO - Summary: 2024-01-03 17:26:05,724 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.7408 | 0.9534 | 0.9923 | 0.169 | 0.5618 | 0.0707 | 0.2036 | 16.958 | 0.1213 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:26:05,724 - mmseg - INFO - Iter(val) [82] a1: 0.7408, a2: 0.9534, a3: 0.9923, abs_rel: 0.16898488998413086, rmse: 0.5618210434913635, log_10: 0.07073653489351273, rmse_log: 0.20360910892486572, silog: 16.9580, sq_rel: 0.12134438008069992 2024-01-03 17:26:08,454 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:12:15, time: 0.157, data_time: 0.105, memory: 811, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0342 2024-01-03 17:26:11,163 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:12:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0326 2024-01-03 17:26:15,964 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:12:10, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0344 2024-01-03 17:26:18,682 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:12:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0331 2024-01-03 17:26:21,399 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:12:04, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0339 2024-01-03 17:26:24,103 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:12:01, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0318 2024-01-03 17:26:26,811 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:11:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0337 2024-01-03 17:26:29,526 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:29,526 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:11:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0328 2024-01-03 17:26:32,242 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:11:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0324 2024-01-03 17:26:34,946 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:11:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0331 2024-01-03 17:26:37,656 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:11:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0331 2024-01-03 17:26:40,387 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:11:44, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0331 2024-01-03 17:26:43,107 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:11:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0338 2024-01-03 17:26:45,837 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:11:38, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0350 2024-01-03 17:26:48,563 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:11:35, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0333 2024-01-03 17:26:51,272 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:11:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0347 2024-01-03 17:26:53,991 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:11:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0325 2024-01-03 17:26:56,691 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:11:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0335 2024-01-03 17:26:59,422 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:11:23, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0333 2024-01-03 17:27:02,166 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:11:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0348 2024-01-03 17:27:04,901 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:11:17, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.0340 2024-01-03 17:27:07,608 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:11:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0324 2024-01-03 17:27:10,328 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:11:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0335 2024-01-03 17:27:13,041 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:11:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0332 2024-01-03 17:27:15,765 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:11:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0349 2024-01-03 17:27:18,470 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:11:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0322 2024-01-03 17:27:21,184 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:10:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0346 2024-01-03 17:27:23,886 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:23,887 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:10:56, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0341 2024-01-03 17:27:26,635 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:10:53, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0341 2024-01-03 17:27:29,333 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:10:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0359 2024-01-03 17:27:32,033 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:10:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0345 2024-01-03 17:27:34,725 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:27:34,737 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:10:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0363 2024-01-03 17:27:37,433 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:10:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0338 2024-01-03 17:27:42,233 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:10:39, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0322 2024-01-03 17:27:44,952 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:10:36, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0337 2024-01-03 17:27:47,679 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:10:33, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0336 2024-01-03 17:27:50,405 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:10:31, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0342 2024-01-03 17:27:53,090 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:10:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0336 2024-01-03 17:27:55,808 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:10:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0326 2024-01-03 17:27:58,534 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:10:22, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0334 2024-01-03 17:28:01,249 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:10:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0335 2024-01-03 17:28:03,950 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:10:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0323 2024-01-03 17:28:06,688 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:10:13, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0327 2024-01-03 17:28:09,413 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:10:10, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0336 2024-01-03 17:28:12,130 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:10:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0329 2024-01-03 17:28:14,826 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:10:04, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1201, decode.loss_grad: 0.0000, loss: 0.1201, grad_norm: 0.0331 2024-01-03 17:28:17,562 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:10:01, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0347 2024-01-03 17:28:20,275 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:20,275 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:09:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0327 2024-01-03 17:28:22,980 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:09:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0325 2024-01-03 17:28:25,696 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:09:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0329 2024-01-03 17:28:28,417 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:09:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0326 2024-01-03 17:28:31,133 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:09:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0338 2024-01-03 17:28:33,816 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:09:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0321 2024-01-03 17:28:36,546 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:09:41, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0335 2024-01-03 17:28:39,247 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:09:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0337 2024-01-03 17:28:41,994 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:09:35, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0329 2024-01-03 17:28:44,705 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:09:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0335 2024-01-03 17:28:47,438 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:09:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0325 2024-01-03 17:28:50,134 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:09:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0336 2024-01-03 17:28:52,831 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:09:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0329 2024-01-03 17:28:55,552 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:09:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0338 2024-01-03 17:28:58,274 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:09:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0336 2024-01-03 17:29:00,984 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:09:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0324 2024-01-03 17:29:05,777 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:29:05,792 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:09:12, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0335 2024-01-03 17:29:10,930 - mmseg - INFO - Summary: 2024-01-03 17:29:10,930 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7451 | 0.9537 | 0.9924 | 0.1664 | 0.5596 | 0.0702 | 0.2024 | 16.9573 | 0.1188 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:29:10,933 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_22400.pth was removed 2024-01-03 17:29:10,941 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_28800.pth. 2024-01-03 17:29:10,941 - mmseg - INFO - Best abs_rel is 0.1664 at 28800 iter. 2024-01-03 17:29:10,941 - mmseg - INFO - Iter(val) [82] a1: 0.7451, a2: 0.9537, a3: 0.9924, abs_rel: 0.16644082963466644, rmse: 0.5596454739570618, log_10: 0.07019174844026566, rmse_log: 0.20238086581230164, silog: 16.9573, sq_rel: 0.11876540631055832 2024-01-03 17:29:13,669 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:09:11, time: 0.158, data_time: 0.105, memory: 811, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0333 2024-01-03 17:29:16,397 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:09:08, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0327 2024-01-03 17:29:19,119 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:09:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0331 2024-01-03 17:29:21,819 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:21,819 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:09:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0322 2024-01-03 17:29:24,557 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:08:59, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0336 2024-01-03 17:29:27,275 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:08:56, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0332 2024-01-03 17:29:29,996 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:08:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0329 2024-01-03 17:29:32,689 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:08:50, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0325 2024-01-03 17:29:35,394 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:08:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0324 2024-01-03 17:29:38,125 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:08:44, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0323 2024-01-03 17:29:40,840 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:08:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0332 2024-01-03 17:29:43,544 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:08:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0325 2024-01-03 17:29:46,262 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:08:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0321 2024-01-03 17:29:48,976 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0321 2024-01-03 17:29:51,676 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:30, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0336 2024-01-03 17:29:54,409 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:08:27, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1185, decode.loss_grad: 0.0000, loss: 0.1185, grad_norm: 0.0312 2024-01-03 17:29:57,135 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:08:24, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0324 2024-01-03 17:29:59,828 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:08:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0320 2024-01-03 17:30:02,558 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:08:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0309 2024-01-03 17:30:05,259 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:08:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0341 2024-01-03 17:30:07,973 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:08:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0319 2024-01-03 17:30:10,692 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:08:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0323 2024-01-03 17:30:13,426 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:08:06, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0340 2024-01-03 17:30:16,122 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:16,122 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:08:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0347 2024-01-03 17:30:18,857 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:08:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0324 2024-01-03 17:30:21,603 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:07:57, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0315 2024-01-03 17:30:24,305 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:07:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0312 2024-01-03 17:30:27,025 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:07:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0330 2024-01-03 17:30:29,737 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:07:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0325 2024-01-03 17:30:34,545 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:07:46, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0325 2024-01-03 17:30:37,227 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:07:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0331 2024-01-03 17:30:39,912 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:30:39,925 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:07:40, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0319 2024-01-03 17:30:42,637 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:07:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0311 2024-01-03 17:30:45,353 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0316 2024-01-03 17:30:48,065 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0317 2024-01-03 17:30:50,791 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:29, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0323 2024-01-03 17:30:53,525 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:26, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0314 2024-01-03 17:30:56,241 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:07:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0312 2024-01-03 17:30:58,946 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1185, decode.loss_grad: 0.0000, loss: 0.1185, grad_norm: 0.0326 2024-01-03 17:31:01,706 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:07:17, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0326 2024-01-03 17:31:04,395 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:07:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0318 2024-01-03 17:31:07,128 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:07:11, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0328 2024-01-03 17:31:09,824 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:07:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0324 2024-01-03 17:31:12,528 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:12,528 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:07:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0331 2024-01-03 17:31:15,246 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:07:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0318 2024-01-03 17:31:17,969 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:07:00, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0319 2024-01-03 17:31:20,690 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:06:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0319 2024-01-03 17:31:23,427 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:06:54, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0331 2024-01-03 17:31:26,138 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:06:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0323 2024-01-03 17:31:28,828 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:06:48, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0323 2024-01-03 17:31:31,547 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:06:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0329 2024-01-03 17:31:34,303 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:06:42, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0327 2024-01-03 17:31:37,036 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:39, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0311 2024-01-03 17:31:39,762 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:36, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0319 2024-01-03 17:31:42,489 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:33, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0302 2024-01-03 17:31:45,196 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:30, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0305 2024-01-03 17:31:47,912 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0330 2024-01-03 17:31:50,629 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0304 2024-01-03 17:31:53,323 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0329 2024-01-03 17:31:58,124 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:19, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0321 2024-01-03 17:32:00,833 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:06:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0302 2024-01-03 17:32:03,559 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:06:13, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0333 2024-01-03 17:32:06,280 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:06:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0321 2024-01-03 17:32:08,991 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:32:09,057 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:09,057 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:06:08, time: 0.056, data_time: 0.002, memory: 811, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0308 2024-01-03 17:32:14,145 - mmseg - INFO - Summary: 2024-01-03 17:32:14,146 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7461 | 0.9538 | 0.9925 | 0.1662 | 0.5584 | 0.07 | 0.2021 | 16.9385 | 0.1186 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:32:14,149 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_28800.pth was removed 2024-01-03 17:32:14,158 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_32000.pth. 2024-01-03 17:32:14,158 - mmseg - INFO - Best abs_rel is 0.1662 at 32000 iter. 2024-01-03 17:32:14,158 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:14,158 - mmseg - INFO - Iter(val) [82] a1: 0.7461, a2: 0.9538, a3: 0.9925, abs_rel: 0.16622479259967804, rmse: 0.558383047580719, log_10: 0.07001369446516037, rmse_log: 0.2020500898361206, silog: 16.9385, sq_rel: 0.11862747371196747 2024-01-03 17:32:16,860 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:06, time: 0.156, data_time: 0.104, memory: 811, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0311 2024-01-03 17:32:19,566 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0310 2024-01-03 17:32:22,299 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0295 2024-01-03 17:32:25,039 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:05:57, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0336 2024-01-03 17:32:27,728 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:05:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0312 2024-01-03 17:32:30,453 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:05:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0314 2024-01-03 17:32:33,173 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:05:48, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0314 2024-01-03 17:32:35,883 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:05:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0316 2024-01-03 17:32:38,587 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:42, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0313 2024-01-03 17:32:41,314 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:39, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0306 2024-01-03 17:32:44,040 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:37, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0318 2024-01-03 17:32:46,742 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1185, decode.loss_grad: 0.0000, loss: 0.1185, grad_norm: 0.0328 2024-01-03 17:32:49,434 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0323 2024-01-03 17:32:52,139 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:28, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0312 2024-01-03 17:32:54,832 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0314 2024-01-03 17:32:57,540 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0323 2024-01-03 17:33:00,257 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:19, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0315 2024-01-03 17:33:02,991 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:16, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0310 2024-01-03 17:33:05,726 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:13, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0323 2024-01-03 17:33:08,440 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:08,440 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0310 2024-01-03 17:33:11,139 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:07, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0304 2024-01-03 17:33:13,843 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0322 2024-01-03 17:33:16,539 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0301 2024-01-03 17:33:19,257 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:04:59, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0307 2024-01-03 17:33:21,988 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:04:56, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0318 2024-01-03 17:33:24,703 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:04:53, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0318 2024-01-03 17:33:29,449 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:04:50, time: 0.095, data_time: 0.043, memory: 811, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0311 2024-01-03 17:33:32,174 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:04:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0317 2024-01-03 17:33:34,857 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0302 2024-01-03 17:33:37,559 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:42, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0311 2024-01-03 17:33:40,289 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:39, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0295 2024-01-03 17:33:43,039 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:33:43,051 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:36, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0302 2024-01-03 17:33:45,771 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:33, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0328 2024-01-03 17:33:48,489 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:30, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0313 2024-01-03 17:33:51,196 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:27, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0318 2024-01-03 17:33:53,942 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:24, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0317 2024-01-03 17:33:56,673 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:21, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0307 2024-01-03 17:33:59,398 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:18, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0299 2024-01-03 17:34:02,121 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:16, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0306 2024-01-03 17:34:04,839 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:04,840 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:13, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0301 2024-01-03 17:34:07,539 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:10, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0304 2024-01-03 17:34:10,199 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:07, time: 0.053, data_time: 0.002, memory: 811, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0311 2024-01-03 17:34:12,924 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:04, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0309 2024-01-03 17:34:15,653 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:01, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0308 2024-01-03 17:34:18,358 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:03:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0322 2024-01-03 17:34:21,056 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:03:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1185, decode.loss_grad: 0.0000, loss: 0.1185, grad_norm: 0.0305 2024-01-03 17:34:23,770 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:03:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0300 2024-01-03 17:34:26,485 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:03:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0302 2024-01-03 17:34:29,192 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0310 2024-01-03 17:34:31,897 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0312 2024-01-03 17:34:34,616 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0310 2024-01-03 17:34:37,332 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:38, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0313 2024-01-03 17:34:40,028 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0300 2024-01-03 17:34:42,750 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0312 2024-01-03 17:34:45,464 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0303 2024-01-03 17:34:48,176 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0305 2024-01-03 17:34:52,992 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:24, time: 0.096, data_time: 0.043, memory: 811, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0311 2024-01-03 17:34:55,693 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:21, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0301 2024-01-03 17:34:58,411 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:18, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0308 2024-01-03 17:35:01,142 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:01,143 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:15, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0292 2024-01-03 17:35:03,882 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:12, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0298 2024-01-03 17:35:06,600 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:09, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1154, decode.loss_grad: 0.0000, loss: 0.1154, grad_norm: 0.0307 2024-01-03 17:35:09,298 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0303 2024-01-03 17:35:11,998 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:35:12,013 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0300 2024-01-03 17:35:17,132 - mmseg - INFO - Summary: 2024-01-03 17:35:17,133 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7445 | 0.9539 | 0.9927 | 0.1667 | 0.5598 | 0.0702 | 0.2024 | 16.9638 | 0.1192 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:35:17,133 - mmseg - INFO - Iter(val) [82] a1: 0.7445, a2: 0.9539, a3: 0.9927, abs_rel: 0.16674108803272247, rmse: 0.5598312616348267, log_10: 0.07022563368082047, rmse_log: 0.20244964957237244, silog: 16.9638, sq_rel: 0.11918260902166367 2024-01-03 17:35:19,832 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:01, time: 0.156, data_time: 0.105, memory: 811, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0299 2024-01-03 17:35:22,557 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:02:58, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0330 2024-01-03 17:35:25,294 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:02:55, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0302 2024-01-03 17:35:28,027 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:02:52, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0303 2024-01-03 17:35:30,742 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0324 2024-01-03 17:35:33,456 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:47, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0304 2024-01-03 17:35:36,156 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:44, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0291 2024-01-03 17:35:38,858 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:41, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0307 2024-01-03 17:35:41,598 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:38, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0307 2024-01-03 17:35:44,294 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:35, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0280 2024-01-03 17:35:47,030 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:32, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0300 2024-01-03 17:35:49,753 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0310 2024-01-03 17:35:52,455 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:26, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0294 2024-01-03 17:35:55,160 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0302 2024-01-03 17:35:57,893 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:21, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0295 2024-01-03 17:36:00,651 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:00,652 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:18, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0310 2024-01-03 17:36:03,342 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:15, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0304 2024-01-03 17:36:06,057 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:12, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0312 2024-01-03 17:36:08,797 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:09, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0306 2024-01-03 17:36:11,530 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:06, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0305 2024-01-03 17:36:14,258 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:03, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0299 2024-01-03 17:36:17,007 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0304 2024-01-03 17:36:21,779 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:01:58, time: 0.095, data_time: 0.043, memory: 811, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0297 2024-01-03 17:36:24,463 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:01:55, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0307 2024-01-03 17:36:27,176 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:52, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0296 2024-01-03 17:36:29,866 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:49, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0304 2024-01-03 17:36:32,561 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:46, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0302 2024-01-03 17:36:35,290 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:43, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0306 2024-01-03 17:36:38,023 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:40, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0303 2024-01-03 17:36:40,740 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:37, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0300 2024-01-03 17:36:43,445 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:34, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0305 2024-01-03 17:36:46,151 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:36:46,163 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:32, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0298 2024-01-03 17:36:48,883 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:29, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0308 2024-01-03 17:36:51,626 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:26, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0298 2024-01-03 17:36:54,343 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:23, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0307 2024-01-03 17:36:57,054 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:57,054 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:20, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0289 2024-01-03 17:36:59,768 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0295 2024-01-03 17:37:02,491 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:14, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0300 2024-01-03 17:37:05,190 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0302 2024-01-03 17:37:07,915 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:09, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0301 2024-01-03 17:37:10,620 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:06, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0299 2024-01-03 17:37:13,325 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:03, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0303 2024-01-03 17:37:16,020 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:00, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0304 2024-01-03 17:37:18,743 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:00:57, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0302 2024-01-03 17:37:21,465 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:54, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0319 2024-01-03 17:37:24,148 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:51, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0288 2024-01-03 17:37:26,824 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:48, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0284 2024-01-03 17:37:29,528 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:45, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0302 2024-01-03 17:37:32,219 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:43, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0300 2024-01-03 17:37:34,946 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:40, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0297 2024-01-03 17:37:37,703 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:37, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0310 2024-01-03 17:37:40,434 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:34, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0295 2024-01-03 17:37:43,130 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:31, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0298 2024-01-03 17:37:47,915 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:28, time: 0.096, data_time: 0.044, memory: 811, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0302 2024-01-03 17:37:50,636 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:25, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0318 2024-01-03 17:37:53,355 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:53,355 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:22, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0304 2024-01-03 17:37:56,082 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:20, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0309 2024-01-03 17:37:58,774 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:17, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0298 2024-01-03 17:38:01,501 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:14, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0314 2024-01-03 17:38:04,204 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:11, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0296 2024-01-03 17:38:06,907 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:08, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0309 2024-01-03 17:38:09,604 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:05, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0291 2024-01-03 17:38:12,308 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:02, time: 0.054, data_time: 0.002, memory: 811, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0313 2024-01-03 17:38:15,042 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:38:15,060 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.055, data_time: 0.002, memory: 811, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0313 2024-01-03 17:38:20,166 - mmseg - INFO - Summary: 2024-01-03 17:38:20,167 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7454 | 0.9539 | 0.9926 | 0.1667 | 0.5591 | 0.0701 | 0.2022 | 16.9523 | 0.1191 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:38:20,167 - mmseg - INFO - Iter(val) [82] a1: 0.7454, a2: 0.9539, a3: 0.9926, abs_rel: 0.16670246422290802, rmse: 0.5590563416481018, log_10: 0.07010146975517273, rmse_log: 0.2021944522857666, silog: 16.9523, sq_rel: 0.11907695233821869