2024-01-03 22:09:38,216 - 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+fb51178 ------------------------------------------------------------ 2024-01-03 22:09:38,217 - mmseg - INFO - Distributed training: True 2024-01-03 22:09:38,217 - 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/deit3_base_patch16_224.fb_in1k', 'gpu_ids': range(0, 1)} 2024-01-03 22:09:43,331 - mmseg - INFO - Loading backbone from deit3_base_patch16_224.fb_in1k 2024-01-03 22:09:43,616 - mmseg - INFO - _IncompatibleKeys(missing_keys=['vit.model.cls_token', 'vit.model.pos_embed', 'vit.model.patch_embed.proj.weight', 'vit.model.patch_embed.proj.bias', 'vit.model.blocks.0.norm1.weight', 'vit.model.blocks.0.norm1.bias', 'vit.model.blocks.0.attn.qkv.weight', 'vit.model.blocks.0.attn.qkv.bias', 'vit.model.blocks.0.attn.proj.weight', 'vit.model.blocks.0.attn.proj.bias', 'vit.model.blocks.0.ls1.gamma', '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.0.ls2.gamma', '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.ls1.gamma', '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.1.ls2.gamma', '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.ls1.gamma', '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.2.ls2.gamma', '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.ls1.gamma', '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.3.ls2.gamma', '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.ls1.gamma', '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.4.ls2.gamma', '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.ls1.gamma', '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.5.ls2.gamma', '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.ls1.gamma', '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.6.ls2.gamma', '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.ls1.gamma', '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.7.ls2.gamma', '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.ls1.gamma', '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.8.ls2.gamma', '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.ls1.gamma', '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.9.ls2.gamma', '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.ls1.gamma', '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.10.ls2.gamma', '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.ls1.gamma', '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.blocks.11.ls2.gamma', 'vit.model.norm.weight', 'vit.model.norm.bias'], unexpected_keys=[]) 2024-01-03 22:09:43,618 - mmseg - INFO - pos_embed loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 22:09:43,618 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 22:09:43,642 - 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 22:09:43,726 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 22:09:45,920 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 22:09:45,920 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/deit3_base_patch16_224.fb_in1k 2024-01-03 22:09:45,920 - 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 22:09:45,920 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 22:09:45,921 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/deit3_base_patch16_224.fb_in1k by HardDiskBackend. 2024-01-03 22:10:04,192 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:23:05, time: 0.130, data_time: 0.004, memory: 809, decode.loss_depth: 0.2171, decode.loss_grad: 0.0000, loss: 0.2171, grad_norm: 0.7651 2024-01-03 22:10:07,048 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:59:43, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.3633 2024-01-03 22:10:09,884 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:51:48, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.4269, decode.loss_grad: 0.0000, loss: 0.4269, grad_norm: 0.1762 2024-01-03 22:10:12,749 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:47:55, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.3903, decode.loss_grad: 0.0000, loss: 0.3903, grad_norm: 0.1830 2024-01-03 22:10:15,577 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:45:29, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.3485, decode.loss_grad: 0.0000, loss: 0.3485, grad_norm: 0.2335 2024-01-03 22:10:18,573 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:44:11, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.3124, decode.loss_grad: 0.0000, loss: 0.3124, grad_norm: 0.2331 2024-01-03 22:10:21,423 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:42:59, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.2968, decode.loss_grad: 0.0000, loss: 0.2968, grad_norm: 0.2445 2024-01-03 22:10:24,212 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:41:59, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2742, decode.loss_grad: 0.0000, loss: 0.2742, grad_norm: 0.2306 2024-01-03 22:10:26,974 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:41:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2672, decode.loss_grad: 0.0000, loss: 0.2672, grad_norm: 0.2437 2024-01-03 22:10:30,050 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:40:52, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.2656, decode.loss_grad: 0.0000, loss: 0.2656, grad_norm: 0.2504 2024-01-03 22:10:32,869 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:40:20, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2638, decode.loss_grad: 0.0000, loss: 0.2638, grad_norm: 0.2276 2024-01-03 22:10:35,664 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:39:52, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2505, decode.loss_grad: 0.0000, loss: 0.2505, grad_norm: 0.2456 2024-01-03 22:10:38,677 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:39:40, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.2495, decode.loss_grad: 0.0000, loss: 0.2495, grad_norm: 0.2322 2024-01-03 22:10:41,459 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:39:17, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2470, decode.loss_grad: 0.0000, loss: 0.2470, grad_norm: 0.2344 2024-01-03 22:10:44,229 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:38:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2366, decode.loss_grad: 0.0000, loss: 0.2366, grad_norm: 0.2238 2024-01-03 22:10:47,012 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:38:37, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2439, decode.loss_grad: 0.0000, loss: 0.2439, grad_norm: 0.2326 2024-01-03 22:10:50,115 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:38:35, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.2323, decode.loss_grad: 0.0000, loss: 0.2323, grad_norm: 0.2321 2024-01-03 22:10:52,872 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:38:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2312, decode.loss_grad: 0.0000, loss: 0.2312, grad_norm: 0.2106 2024-01-03 22:10:55,638 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:38:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2318, decode.loss_grad: 0.0000, loss: 0.2318, grad_norm: 0.2194 2024-01-03 22:10:58,460 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:10:58,460 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:37:52, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2284, decode.loss_grad: 0.0000, loss: 0.2284, grad_norm: 0.2172 2024-01-03 22:11:01,579 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:37:52, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.2268, decode.loss_grad: 0.0000, loss: 0.2268, grad_norm: 0.2214 2024-01-03 22:11:04,375 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:37:41, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2265, decode.loss_grad: 0.0000, loss: 0.2265, grad_norm: 0.2092 2024-01-03 22:11:07,173 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:37:30, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2217, decode.loss_grad: 0.0000, loss: 0.2217, grad_norm: 0.2087 2024-01-03 22:11:09,936 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:37:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2155, decode.loss_grad: 0.0000, loss: 0.2155, grad_norm: 0.2107 2024-01-03 22:11:13,019 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:37:18, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.2238, decode.loss_grad: 0.0000, loss: 0.2238, grad_norm: 0.2068 2024-01-03 22:11:15,810 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:37:09, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2179, decode.loss_grad: 0.0000, loss: 0.2179, grad_norm: 0.1926 2024-01-03 22:11:18,588 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:37:00, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2187, decode.loss_grad: 0.0000, loss: 0.2187, grad_norm: 0.1993 2024-01-03 22:11:21,586 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:36:57, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.2175, decode.loss_grad: 0.0000, loss: 0.2175, grad_norm: 0.1981 2024-01-03 22:11:24,454 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:36:50, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.2119, decode.loss_grad: 0.0000, loss: 0.2119, grad_norm: 0.1977 2024-01-03 22:11:27,230 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:36:42, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2118, decode.loss_grad: 0.0000, loss: 0.2118, grad_norm: 0.1964 2024-01-03 22:11:32,250 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:37:27, time: 0.100, data_time: 0.044, memory: 809, decode.loss_depth: 0.2113, decode.loss_grad: 0.0000, loss: 0.2113, grad_norm: 0.1950 2024-01-03 22:11:35,013 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 22:11:35,025 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:37:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2099, decode.loss_grad: 0.0000, loss: 0.2099, grad_norm: 0.1915 2024-01-03 22:11:37,784 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:37:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2074, decode.loss_grad: 0.0000, loss: 0.2074, grad_norm: 0.1858 2024-01-03 22:11:40,569 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:37:00, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.1814 2024-01-03 22:11:43,475 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:36:55, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.2096, decode.loss_grad: 0.0000, loss: 0.2096, grad_norm: 0.1877 2024-01-03 22:11:46,250 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:36:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.1844 2024-01-03 22:11:49,001 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:36:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2099, decode.loss_grad: 0.0000, loss: 0.2099, grad_norm: 0.1782 2024-01-03 22:11:51,772 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:36:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2071, decode.loss_grad: 0.0000, loss: 0.2071, grad_norm: 0.1875 2024-01-03 22:11:54,856 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:36:29, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.2040, decode.loss_grad: 0.0000, loss: 0.2040, grad_norm: 0.1816 2024-01-03 22:11:57,611 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:11:57,611 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:36:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2044, decode.loss_grad: 0.0000, loss: 0.2044, grad_norm: 0.1749 2024-01-03 22:12:00,369 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:36:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2034, decode.loss_grad: 0.0000, loss: 0.2034, grad_norm: 0.1819 2024-01-03 22:12:03,146 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:36:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.1696 2024-01-03 22:12:06,232 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:36:07, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.2024, decode.loss_grad: 0.0000, loss: 0.2024, grad_norm: 0.1782 2024-01-03 22:12:08,984 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:36:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.1709 2024-01-03 22:12:11,732 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:35:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1970, decode.loss_grad: 0.0000, loss: 0.1970, grad_norm: 0.1654 2024-01-03 22:12:14,504 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:35:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.1670 2024-01-03 22:12:17,279 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:35:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1971, decode.loss_grad: 0.0000, loss: 0.1971, grad_norm: 0.1658 2024-01-03 22:12:20,010 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:35:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.1606 2024-01-03 22:12:22,746 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:35:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.1705 2024-01-03 22:12:25,484 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:35:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.2011, decode.loss_grad: 0.0000, loss: 0.2011, grad_norm: 0.1662 2024-01-03 22:12:28,306 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:35:17, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1953, decode.loss_grad: 0.0000, loss: 0.1953, grad_norm: 0.1601 2024-01-03 22:12:31,063 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:35:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1914, decode.loss_grad: 0.0000, loss: 0.1914, grad_norm: 0.1584 2024-01-03 22:12:33,788 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:35:05, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.1621 2024-01-03 22:12:36,533 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:35:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1969, decode.loss_grad: 0.0000, loss: 0.1969, grad_norm: 0.1596 2024-01-03 22:12:39,439 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:34:56, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1961, decode.loss_grad: 0.0000, loss: 0.1961, grad_norm: 0.1563 2024-01-03 22:12:42,191 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:34:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1909, decode.loss_grad: 0.0000, loss: 0.1909, grad_norm: 0.1507 2024-01-03 22:12:44,943 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:34:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1886, decode.loss_grad: 0.0000, loss: 0.1886, grad_norm: 0.1520 2024-01-03 22:12:47,677 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:34:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1922, decode.loss_grad: 0.0000, loss: 0.1922, grad_norm: 0.1561 2024-01-03 22:12:50,784 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:34:39, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.1891, decode.loss_grad: 0.0000, loss: 0.1891, grad_norm: 0.1460 2024-01-03 22:12:53,529 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:12:53,529 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:34:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1878, decode.loss_grad: 0.0000, loss: 0.1878, grad_norm: 0.1464 2024-01-03 22:12:58,360 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:34:53, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1852, decode.loss_grad: 0.0000, loss: 0.1852, grad_norm: 0.1427 2024-01-03 22:13:01,219 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:34:49, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1900, decode.loss_grad: 0.0000, loss: 0.1900, grad_norm: 0.1425 2024-01-03 22:13:03,953 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:34:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1875, decode.loss_grad: 0.0000, loss: 0.1875, grad_norm: 0.1437 2024-01-03 22:13:06,720 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 22:13:06,730 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:34:39, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1841, decode.loss_grad: 0.0000, loss: 0.1841, grad_norm: 0.1411 2024-01-03 22:13:21,266 - mmseg - INFO - Summary: 2024-01-03 22:13:21,267 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6845 | 0.9291 | 0.9832 | 0.2056 | 0.6285 | 0.0809 | 0.2305 | 18.3629 | 0.1734 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:13:21,281 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 22:13:21,281 - mmseg - INFO - Best abs_rel is 0.2056 at 3200 iter. 2024-01-03 22:13:21,281 - mmseg - INFO - Iter(val) [82] a1: 0.6845, a2: 0.9291, a3: 0.9832, abs_rel: 0.20559534430503845, rmse: 0.6285193562507629, log_10: 0.08093278110027313, rmse_log: 0.2305413782596588, silog: 18.3629, sq_rel: 0.17342740297317505 2024-01-03 22:13:23,991 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:37:11, time: 0.345, data_time: 0.293, memory: 809, decode.loss_depth: 0.1888, decode.loss_grad: 0.0000, loss: 0.1888, grad_norm: 0.1339 2024-01-03 22:13:26,704 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:37:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1872, decode.loss_grad: 0.0000, loss: 0.1872, grad_norm: 0.1413 2024-01-03 22:13:29,451 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:36:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1876, decode.loss_grad: 0.0000, loss: 0.1876, grad_norm: 0.1352 2024-01-03 22:13:32,478 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:36:50, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1889, decode.loss_grad: 0.0000, loss: 0.1889, grad_norm: 0.1405 2024-01-03 22:13:35,216 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:36:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1883, decode.loss_grad: 0.0000, loss: 0.1883, grad_norm: 0.1328 2024-01-03 22:13:37,944 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:36:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1852, decode.loss_grad: 0.0000, loss: 0.1852, grad_norm: 0.1402 2024-01-03 22:13:40,678 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:36:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.1332 2024-01-03 22:13:43,534 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:36:23, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1854, decode.loss_grad: 0.0000, loss: 0.1854, grad_norm: 0.1342 2024-01-03 22:13:46,283 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:36:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1804, decode.loss_grad: 0.0000, loss: 0.1804, grad_norm: 0.1310 2024-01-03 22:13:49,008 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:36:09, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.1273 2024-01-03 22:13:51,742 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:36:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1813, decode.loss_grad: 0.0000, loss: 0.1813, grad_norm: 0.1283 2024-01-03 22:13:54,513 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:35:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1845, decode.loss_grad: 0.0000, loss: 0.1845, grad_norm: 0.1249 2024-01-03 22:13:57,249 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:35:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1846, decode.loss_grad: 0.0000, loss: 0.1846, grad_norm: 0.1293 2024-01-03 22:13:59,976 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:35:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.1332 2024-01-03 22:14:02,718 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:35:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.1205 2024-01-03 22:14:05,731 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:14:05,731 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:35:33, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1797, decode.loss_grad: 0.0000, loss: 0.1797, grad_norm: 0.1225 2024-01-03 22:14:08,455 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:35:26, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1810, decode.loss_grad: 0.0000, loss: 0.1810, grad_norm: 0.1256 2024-01-03 22:14:11,161 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:35:20, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.1302 2024-01-03 22:14:13,858 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:35:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1831, decode.loss_grad: 0.0000, loss: 0.1831, grad_norm: 0.1227 2024-01-03 22:14:16,694 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:35:08, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1811, decode.loss_grad: 0.0000, loss: 0.1811, grad_norm: 0.1202 2024-01-03 22:14:19,449 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:35:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.1155 2024-01-03 22:14:22,211 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:34:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.1135 2024-01-03 22:14:24,928 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:34:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1778, decode.loss_grad: 0.0000, loss: 0.1778, grad_norm: 0.1141 2024-01-03 22:14:27,690 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:34:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.1182 2024-01-03 22:14:30,415 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:34:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1828, decode.loss_grad: 0.0000, loss: 0.1828, grad_norm: 0.1197 2024-01-03 22:14:33,129 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:34:34, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.1137 2024-01-03 22:14:37,959 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:34:44, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.1119 2024-01-03 22:14:40,701 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:34:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.1114 2024-01-03 22:14:43,437 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:34:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.1070 2024-01-03 22:14:46,174 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:34:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.1092 2024-01-03 22:14:49,123 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:34:24, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1760, decode.loss_grad: 0.0000, loss: 0.1760, grad_norm: 0.1118 2024-01-03 22:14:51,883 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 22:14:51,894 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:34:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.1079 2024-01-03 22:14:54,618 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:34:13, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1763, decode.loss_grad: 0.0000, loss: 0.1763, grad_norm: 0.1109 2024-01-03 22:14:57,375 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:34:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.1076 2024-01-03 22:15:00,527 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:34:06, time: 0.063, data_time: 0.002, memory: 809, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.1084 2024-01-03 22:15:03,279 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:15:03,279 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:34:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.1073 2024-01-03 22:15:06,005 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:33:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.1007 2024-01-03 22:15:09,038 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:33:52, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.1010 2024-01-03 22:15:11,770 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:33:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.1027 2024-01-03 22:15:14,514 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:33:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.1061 2024-01-03 22:15:17,261 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:33:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.1045 2024-01-03 22:15:20,177 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:33:33, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.1028 2024-01-03 22:15:22,906 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:33:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.1062 2024-01-03 22:15:25,645 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:33:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.1059 2024-01-03 22:15:28,364 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:33:19, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.1040 2024-01-03 22:15:31,401 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:33:16, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.1030 2024-01-03 22:15:34,137 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:33:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1729, decode.loss_grad: 0.0000, loss: 0.1729, grad_norm: 0.1035 2024-01-03 22:15:36,853 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:33:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0961 2024-01-03 22:15:39,598 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:33:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0978 2024-01-03 22:15:42,455 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:32:57, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0973 2024-01-03 22:15:45,213 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:32:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1721, decode.loss_grad: 0.0000, loss: 0.1721, grad_norm: 0.0929 2024-01-03 22:15:47,944 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:32:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0980 2024-01-03 22:15:50,685 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:32:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0992 2024-01-03 22:15:53,683 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:32:40, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0924 2024-01-03 22:15:56,417 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:32:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.0925 2024-01-03 22:15:59,153 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:15:59,153 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:32:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0948 2024-01-03 22:16:01,899 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:32:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0896 2024-01-03 22:16:06,727 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:32:33, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0904 2024-01-03 22:16:09,461 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:32:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0947 2024-01-03 22:16:12,225 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:32:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1612, decode.loss_grad: 0.0000, loss: 0.1612, grad_norm: 0.0886 2024-01-03 22:16:15,121 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:32:21, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0955 2024-01-03 22:16:17,861 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:32:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0884 2024-01-03 22:16:20,605 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:32:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0863 2024-01-03 22:16:23,369 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 22:16:23,381 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:32:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0929 2024-01-03 22:16:28,534 - mmseg - INFO - Summary: 2024-01-03 22:16:28,535 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6934 | 0.9303 | 0.9833 | 0.203 | 0.6265 | 0.0799 | 0.2285 | 18.1652 | 0.1731 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:16:28,536 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_3200.pth was removed 2024-01-03 22:16:28,545 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 22:16:28,545 - mmseg - INFO - Best abs_rel is 0.2030 at 6400 iter. 2024-01-03 22:16:28,545 - mmseg - INFO - Iter(val) [82] a1: 0.6934, a2: 0.9303, a3: 0.9833, abs_rel: 0.2029665857553482, rmse: 0.6264511346817017, log_10: 0.07993025332689285, rmse_log: 0.2284684181213379, silog: 18.1652, sq_rel: 0.1731419712305069 2024-01-03 22:16:31,262 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:32:29, time: 0.158, data_time: 0.105, memory: 809, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0881 2024-01-03 22:16:33,987 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:32:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1645, decode.loss_grad: 0.0000, loss: 0.1645, grad_norm: 0.0855 2024-01-03 22:16:36,766 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:32:20, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1641, decode.loss_grad: 0.0000, loss: 0.1641, grad_norm: 0.0783 2024-01-03 22:16:39,528 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:32:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0872 2024-01-03 22:16:42,251 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:32:11, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0841 2024-01-03 22:16:44,978 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:32:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0889 2024-01-03 22:16:47,815 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:32:02, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0859 2024-01-03 22:16:50,545 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:31:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0865 2024-01-03 22:16:53,315 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:31:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0844 2024-01-03 22:16:56,056 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:31:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1682, decode.loss_grad: 0.0000, loss: 0.1682, grad_norm: 0.0854 2024-01-03 22:16:58,923 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:31:46, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0863 2024-01-03 22:17:01,689 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:17:01,689 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:31:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0833 2024-01-03 22:17:04,420 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:31:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0843 2024-01-03 22:17:07,189 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:31:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0818 2024-01-03 22:17:10,142 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:31:29, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.0826 2024-01-03 22:17:12,896 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:31:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0783 2024-01-03 22:17:15,655 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:31:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0854 2024-01-03 22:17:18,404 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:31:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.0853 2024-01-03 22:17:21,131 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:31:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0803 2024-01-03 22:17:23,857 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:31:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0804 2024-01-03 22:17:26,600 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:31:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0821 2024-01-03 22:17:29,331 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:31:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0789 2024-01-03 22:17:32,069 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:30:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0804 2024-01-03 22:17:36,889 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:31:00, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1629, decode.loss_grad: 0.0000, loss: 0.1629, grad_norm: 0.0803 2024-01-03 22:17:39,639 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:30:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1567, decode.loss_grad: 0.0000, loss: 0.1567, grad_norm: 0.0784 2024-01-03 22:17:42,543 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:30:53, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.0738 2024-01-03 22:17:45,289 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:30:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.0726 2024-01-03 22:17:48,024 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:30:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0763 2024-01-03 22:17:50,774 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:30:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0777 2024-01-03 22:17:53,679 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:30:37, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0739 2024-01-03 22:17:56,407 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:30:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0734 2024-01-03 22:17:59,147 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 22:17:59,159 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:17:59,159 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:30:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1584, decode.loss_grad: 0.0000, loss: 0.1584, grad_norm: 0.0701 2024-01-03 22:18:01,878 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:30:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.0760 2024-01-03 22:18:04,605 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:30:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1611, decode.loss_grad: 0.0000, loss: 0.1611, grad_norm: 0.0691 2024-01-03 22:18:07,344 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:30:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1617, decode.loss_grad: 0.0000, loss: 0.1617, grad_norm: 0.0726 2024-01-03 22:18:10,047 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:30:13, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0714 2024-01-03 22:18:13,094 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:30:10, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1623, decode.loss_grad: 0.0000, loss: 0.1623, grad_norm: 0.0727 2024-01-03 22:18:15,818 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:30:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1620, decode.loss_grad: 0.0000, loss: 0.1620, grad_norm: 0.0689 2024-01-03 22:18:18,522 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:30:02, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1608, decode.loss_grad: 0.0000, loss: 0.1608, grad_norm: 0.0737 2024-01-03 22:18:21,254 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:29:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0709 2024-01-03 22:18:24,061 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:29:54, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1585, decode.loss_grad: 0.0000, loss: 0.1585, grad_norm: 0.0703 2024-01-03 22:18:26,808 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:29:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0746 2024-01-03 22:18:29,532 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:29:46, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1613, decode.loss_grad: 0.0000, loss: 0.1613, grad_norm: 0.0684 2024-01-03 22:18:32,278 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:29:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1618, decode.loss_grad: 0.0000, loss: 0.1618, grad_norm: 0.0718 2024-01-03 22:18:35,128 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:29:39, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1600, decode.loss_grad: 0.0000, loss: 0.1600, grad_norm: 0.0708 2024-01-03 22:18:37,883 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:29:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0697 2024-01-03 22:18:40,615 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:29:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1613, decode.loss_grad: 0.0000, loss: 0.1613, grad_norm: 0.0720 2024-01-03 22:18:43,337 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:29:27, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1610, decode.loss_grad: 0.0000, loss: 0.1610, grad_norm: 0.0680 2024-01-03 22:18:46,071 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:29:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1569, decode.loss_grad: 0.0000, loss: 0.1569, grad_norm: 0.0698 2024-01-03 22:18:48,794 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:29:20, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1581, decode.loss_grad: 0.0000, loss: 0.1581, grad_norm: 0.0676 2024-01-03 22:18:51,539 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:29:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1596, decode.loss_grad: 0.0000, loss: 0.1596, grad_norm: 0.0724 2024-01-03 22:18:54,287 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:18:54,287 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:29:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1610, decode.loss_grad: 0.0000, loss: 0.1610, grad_norm: 0.0646 2024-01-03 22:18:57,007 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:29:08, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1579, decode.loss_grad: 0.0000, loss: 0.1579, grad_norm: 0.0650 2024-01-03 22:19:01,803 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:29:11, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.0658 2024-01-03 22:19:04,545 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:29:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1598, decode.loss_grad: 0.0000, loss: 0.1598, grad_norm: 0.0664 2024-01-03 22:19:07,298 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:29:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1559, decode.loss_grad: 0.0000, loss: 0.1559, grad_norm: 0.0662 2024-01-03 22:19:10,109 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:29:00, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1554, decode.loss_grad: 0.0000, loss: 0.1554, grad_norm: 0.0665 2024-01-03 22:19:12,839 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:28:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1554, decode.loss_grad: 0.0000, loss: 0.1554, grad_norm: 0.0616 2024-01-03 22:19:15,561 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:28:53, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1543, decode.loss_grad: 0.0000, loss: 0.1543, grad_norm: 0.0664 2024-01-03 22:19:18,311 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:28:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0651 2024-01-03 22:19:21,037 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:28:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1547, decode.loss_grad: 0.0000, loss: 0.1547, grad_norm: 0.0588 2024-01-03 22:19:23,790 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:28:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1569, decode.loss_grad: 0.0000, loss: 0.1569, grad_norm: 0.0620 2024-01-03 22:19:26,513 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:28:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.0646 2024-01-03 22:19:29,493 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 22:19:29,506 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:28:35, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1597, decode.loss_grad: 0.0000, loss: 0.1597, grad_norm: 0.0648 2024-01-03 22:19:34,662 - mmseg - INFO - Summary: 2024-01-03 22:19:34,662 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6927 | 0.9325 | 0.9844 | 0.2022 | 0.6218 | 0.0796 | 0.2269 | 17.9033 | 0.1671 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:19:34,664 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_6400.pth was removed 2024-01-03 22:19:34,673 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 22:19:34,673 - mmseg - INFO - Best abs_rel is 0.2022 at 9600 iter. 2024-01-03 22:19:34,673 - mmseg - INFO - Iter(val) [82] a1: 0.6927, a2: 0.9325, a3: 0.9844, abs_rel: 0.202175110578537, rmse: 0.621811032295227, log_10: 0.07958724349737167, rmse_log: 0.22693926095962524, silog: 17.9033, sq_rel: 0.1670645922422409 2024-01-03 22:19:37,374 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:28:46, time: 0.157, data_time: 0.105, memory: 809, decode.loss_depth: 0.1575, decode.loss_grad: 0.0000, loss: 0.1575, grad_norm: 0.0631 2024-01-03 22:19:40,194 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:28:43, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1612, decode.loss_grad: 0.0000, loss: 0.1612, grad_norm: 0.0628 2024-01-03 22:19:42,920 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:28:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1569, decode.loss_grad: 0.0000, loss: 0.1569, grad_norm: 0.0627 2024-01-03 22:19:45,643 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:28:35, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0643 2024-01-03 22:19:48,366 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:28:31, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1579, decode.loss_grad: 0.0000, loss: 0.1579, grad_norm: 0.0604 2024-01-03 22:19:51,358 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:28:28, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0617 2024-01-03 22:19:54,111 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:28:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.0617 2024-01-03 22:19:56,873 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:19:56,873 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:28:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1574, decode.loss_grad: 0.0000, loss: 0.1574, grad_norm: 0.0601 2024-01-03 22:19:59,611 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:28:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.0607 2024-01-03 22:20:02,362 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:28:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1557, decode.loss_grad: 0.0000, loss: 0.1557, grad_norm: 0.0597 2024-01-03 22:20:05,106 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:28:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1547, decode.loss_grad: 0.0000, loss: 0.1547, grad_norm: 0.0602 2024-01-03 22:20:07,822 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:28:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1572, decode.loss_grad: 0.0000, loss: 0.1572, grad_norm: 0.0614 2024-01-03 22:20:10,547 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:28:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1573, decode.loss_grad: 0.0000, loss: 0.1573, grad_norm: 0.0586 2024-01-03 22:20:13,466 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:27:59, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1544, decode.loss_grad: 0.0000, loss: 0.1544, grad_norm: 0.0584 2024-01-03 22:20:16,201 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:27:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1566, decode.loss_grad: 0.0000, loss: 0.1566, grad_norm: 0.0589 2024-01-03 22:20:18,940 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:27:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0586 2024-01-03 22:20:21,695 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:27:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1573, decode.loss_grad: 0.0000, loss: 0.1573, grad_norm: 0.0599 2024-01-03 22:20:24,560 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:27:45, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1571, decode.loss_grad: 0.0000, loss: 0.1571, grad_norm: 0.0607 2024-01-03 22:20:27,312 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:27:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1558, decode.loss_grad: 0.0000, loss: 0.1558, grad_norm: 0.0583 2024-01-03 22:20:32,098 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:27:43, time: 0.096, data_time: 0.044, memory: 809, decode.loss_depth: 0.1581, decode.loss_grad: 0.0000, loss: 0.1581, grad_norm: 0.0595 2024-01-03 22:20:34,984 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:27:40, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1531, decode.loss_grad: 0.0000, loss: 0.1531, grad_norm: 0.0544 2024-01-03 22:20:37,749 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:27:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.0561 2024-01-03 22:20:40,507 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:27:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1560, decode.loss_grad: 0.0000, loss: 0.1560, grad_norm: 0.0595 2024-01-03 22:20:43,219 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:27:29, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1542, decode.loss_grad: 0.0000, loss: 0.1542, grad_norm: 0.0557 2024-01-03 22:20:46,116 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:27:26, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1547, decode.loss_grad: 0.0000, loss: 0.1547, grad_norm: 0.0568 2024-01-03 22:20:48,864 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:27:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1557, decode.loss_grad: 0.0000, loss: 0.1557, grad_norm: 0.0606 2024-01-03 22:20:51,610 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:27:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1543, decode.loss_grad: 0.0000, loss: 0.1543, grad_norm: 0.0573 2024-01-03 22:20:54,325 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:20:54,326 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:27:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1510, decode.loss_grad: 0.0000, loss: 0.1510, grad_norm: 0.0569 2024-01-03 22:20:57,202 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:27:12, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1552, decode.loss_grad: 0.0000, loss: 0.1552, grad_norm: 0.0552 2024-01-03 22:20:59,914 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:27:08, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1534, decode.loss_grad: 0.0000, loss: 0.1534, grad_norm: 0.0591 2024-01-03 22:21:02,647 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:27:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1503, decode.loss_grad: 0.0000, loss: 0.1503, grad_norm: 0.0574 2024-01-03 22:21:05,363 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 22:21:05,375 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:27:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1514, decode.loss_grad: 0.0000, loss: 0.1514, grad_norm: 0.0533 2024-01-03 22:21:08,149 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:26:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.0563 2024-01-03 22:21:10,895 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:26:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1567, decode.loss_grad: 0.0000, loss: 0.1567, grad_norm: 0.0551 2024-01-03 22:21:13,640 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:26:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1522, decode.loss_grad: 0.0000, loss: 0.1522, grad_norm: 0.0557 2024-01-03 22:21:16,363 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:26:47, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1509, decode.loss_grad: 0.0000, loss: 0.1509, grad_norm: 0.0552 2024-01-03 22:21:19,248 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:26:44, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1559, decode.loss_grad: 0.0000, loss: 0.1559, grad_norm: 0.0568 2024-01-03 22:21:21,975 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:26:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1586, decode.loss_grad: 0.0000, loss: 0.1586, grad_norm: 0.0569 2024-01-03 22:21:24,737 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:26:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1531, decode.loss_grad: 0.0000, loss: 0.1531, grad_norm: 0.0543 2024-01-03 22:21:27,465 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:26:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1534, decode.loss_grad: 0.0000, loss: 0.1534, grad_norm: 0.0559 2024-01-03 22:21:30,374 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:26:30, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1537, decode.loss_grad: 0.0000, loss: 0.1537, grad_norm: 0.0526 2024-01-03 22:21:33,081 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:26:26, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.0524 2024-01-03 22:21:35,789 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:26:23, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1541, decode.loss_grad: 0.0000, loss: 0.1541, grad_norm: 0.0555 2024-01-03 22:21:38,836 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:26:20, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1518, decode.loss_grad: 0.0000, loss: 0.1518, grad_norm: 0.0530 2024-01-03 22:21:41,587 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:26:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1520, decode.loss_grad: 0.0000, loss: 0.1520, grad_norm: 0.0531 2024-01-03 22:21:44,346 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:26:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1548, decode.loss_grad: 0.0000, loss: 0.1548, grad_norm: 0.0535 2024-01-03 22:21:47,092 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:26:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1512, decode.loss_grad: 0.0000, loss: 0.1512, grad_norm: 0.0528 2024-01-03 22:21:50,055 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:21:50,055 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:26:07, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1517, decode.loss_grad: 0.0000, loss: 0.1517, grad_norm: 0.0538 2024-01-03 22:21:52,810 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:26:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1544, decode.loss_grad: 0.0000, loss: 0.1544, grad_norm: 0.0511 2024-01-03 22:21:55,551 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:26:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1554, decode.loss_grad: 0.0000, loss: 0.1554, grad_norm: 0.0533 2024-01-03 22:22:00,669 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:26:01, time: 0.102, data_time: 0.044, memory: 809, decode.loss_depth: 0.1502, decode.loss_grad: 0.0000, loss: 0.1502, grad_norm: 0.0535 2024-01-03 22:22:03,380 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:25:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1513, decode.loss_grad: 0.0000, loss: 0.1513, grad_norm: 0.0516 2024-01-03 22:22:06,122 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:25:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1510, decode.loss_grad: 0.0000, loss: 0.1510, grad_norm: 0.0520 2024-01-03 22:22:08,851 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:25:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1510, decode.loss_grad: 0.0000, loss: 0.1510, grad_norm: 0.0495 2024-01-03 22:22:12,130 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:25:49, time: 0.066, data_time: 0.002, memory: 809, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0517 2024-01-03 22:22:14,858 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:25:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1507, decode.loss_grad: 0.0000, loss: 0.1507, grad_norm: 0.0489 2024-01-03 22:22:17,612 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:25:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1518, decode.loss_grad: 0.0000, loss: 0.1518, grad_norm: 0.0510 2024-01-03 22:22:20,363 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:25:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1497, decode.loss_grad: 0.0000, loss: 0.1497, grad_norm: 0.0486 2024-01-03 22:22:23,214 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:25:35, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1526, decode.loss_grad: 0.0000, loss: 0.1526, grad_norm: 0.0525 2024-01-03 22:22:25,942 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:25:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1530, decode.loss_grad: 0.0000, loss: 0.1530, grad_norm: 0.0513 2024-01-03 22:22:28,676 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:25:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1537, decode.loss_grad: 0.0000, loss: 0.1537, grad_norm: 0.0522 2024-01-03 22:22:31,404 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:25:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1555, decode.loss_grad: 0.0000, loss: 0.1555, grad_norm: 0.0554 2024-01-03 22:22:34,375 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:25:22, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1495, decode.loss_grad: 0.0000, loss: 0.1495, grad_norm: 0.0489 2024-01-03 22:22:37,085 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 22:22:37,100 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:25:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1499, decode.loss_grad: 0.0000, loss: 0.1499, grad_norm: 0.0507 2024-01-03 22:22:42,241 - mmseg - INFO - Summary: 2024-01-03 22:22:42,241 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7131 | 0.9411 | 0.9884 | 0.1844 | 0.5979 | 0.0757 | 0.2176 | 17.8996 | 0.1464 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:22:42,243 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_9600.pth was removed 2024-01-03 22:22:42,252 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 22:22:42,252 - mmseg - INFO - Best abs_rel is 0.1844 at 12800 iter. 2024-01-03 22:22:42,253 - mmseg - INFO - Iter(val) [82] a1: 0.7131, a2: 0.9411, a3: 0.9884, abs_rel: 0.18441064655780792, rmse: 0.5979332327842712, log_10: 0.07567963004112244, rmse_log: 0.21758855879306793, silog: 17.8996, sq_rel: 0.14643928408622742 2024-01-03 22:22:44,972 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:25:25, time: 0.157, data_time: 0.105, memory: 809, decode.loss_depth: 0.1500, decode.loss_grad: 0.0000, loss: 0.1500, grad_norm: 0.0506 2024-01-03 22:22:47,732 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:25:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1537, decode.loss_grad: 0.0000, loss: 0.1537, grad_norm: 0.0496 2024-01-03 22:22:50,520 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:25:18, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1462, decode.loss_grad: 0.0000, loss: 0.1462, grad_norm: 0.0473 2024-01-03 22:22:53,246 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:22:53,246 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:25:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0487 2024-01-03 22:22:56,394 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:25:12, time: 0.063, data_time: 0.002, memory: 809, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0485 2024-01-03 22:22:59,107 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:25:09, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1493, decode.loss_grad: 0.0000, loss: 0.1493, grad_norm: 0.0491 2024-01-03 22:23:01,854 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:25:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1509, decode.loss_grad: 0.0000, loss: 0.1509, grad_norm: 0.0500 2024-01-03 22:23:04,578 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:25:02, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1510, decode.loss_grad: 0.0000, loss: 0.1510, grad_norm: 0.0487 2024-01-03 22:23:07,474 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:24:59, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1489, decode.loss_grad: 0.0000, loss: 0.1489, grad_norm: 0.0472 2024-01-03 22:23:10,204 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:24:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1499, decode.loss_grad: 0.0000, loss: 0.1499, grad_norm: 0.0486 2024-01-03 22:23:12,931 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:24:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1520, decode.loss_grad: 0.0000, loss: 0.1520, grad_norm: 0.0493 2024-01-03 22:23:15,806 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:24:48, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1501, decode.loss_grad: 0.0000, loss: 0.1501, grad_norm: 0.0488 2024-01-03 22:23:18,594 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:24:45, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1484, decode.loss_grad: 0.0000, loss: 0.1484, grad_norm: 0.0472 2024-01-03 22:23:21,312 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:24:42, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1472, decode.loss_grad: 0.0000, loss: 0.1472, grad_norm: 0.0459 2024-01-03 22:23:24,046 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:24:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1488, decode.loss_grad: 0.0000, loss: 0.1488, grad_norm: 0.0455 2024-01-03 22:23:26,765 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:24:35, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1497, decode.loss_grad: 0.0000, loss: 0.1497, grad_norm: 0.0496 2024-01-03 22:23:31,629 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:24:35, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.0469 2024-01-03 22:23:34,371 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:24:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1473, decode.loss_grad: 0.0000, loss: 0.1473, grad_norm: 0.0450 2024-01-03 22:23:37,087 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:24:28, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.0469 2024-01-03 22:23:40,097 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:24:25, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1503, decode.loss_grad: 0.0000, loss: 0.1503, grad_norm: 0.0497 2024-01-03 22:23:42,809 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:24:22, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1458, decode.loss_grad: 0.0000, loss: 0.1458, grad_norm: 0.0461 2024-01-03 22:23:45,554 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:24:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0490 2024-01-03 22:23:48,281 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:24:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1508, decode.loss_grad: 0.0000, loss: 0.1508, grad_norm: 0.0464 2024-01-03 22:23:51,023 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:23:51,023 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:24:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1462, decode.loss_grad: 0.0000, loss: 0.1462, grad_norm: 0.0463 2024-01-03 22:23:53,743 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:24:08, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.0456 2024-01-03 22:23:56,424 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:24:05, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0458 2024-01-03 22:23:59,272 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:24:02, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1481, decode.loss_grad: 0.0000, loss: 0.1481, grad_norm: 0.0480 2024-01-03 22:24:01,972 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:23:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1454, decode.loss_grad: 0.0000, loss: 0.1454, grad_norm: 0.0468 2024-01-03 22:24:04,698 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:23:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1461, decode.loss_grad: 0.0000, loss: 0.1461, grad_norm: 0.0459 2024-01-03 22:24:07,396 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:23:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1465, decode.loss_grad: 0.0000, loss: 0.1465, grad_norm: 0.0444 2024-01-03 22:24:10,272 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:23:48, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0444 2024-01-03 22:24:13,068 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 22:24:13,080 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:23:45, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1472, decode.loss_grad: 0.0000, loss: 0.1472, grad_norm: 0.0445 2024-01-03 22:24:15,830 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:23:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0475 2024-01-03 22:24:18,543 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:23:38, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.0449 2024-01-03 22:24:21,287 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:23:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1474, decode.loss_grad: 0.0000, loss: 0.1474, grad_norm: 0.0452 2024-01-03 22:24:24,012 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:23:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1469, decode.loss_grad: 0.0000, loss: 0.1469, grad_norm: 0.0451 2024-01-03 22:24:26,740 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:23:28, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1438, decode.loss_grad: 0.0000, loss: 0.1438, grad_norm: 0.0443 2024-01-03 22:24:29,471 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:23:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1481, decode.loss_grad: 0.0000, loss: 0.1481, grad_norm: 0.0476 2024-01-03 22:24:32,213 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:23:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1495, decode.loss_grad: 0.0000, loss: 0.1495, grad_norm: 0.0427 2024-01-03 22:24:34,959 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:23:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1461, decode.loss_grad: 0.0000, loss: 0.1461, grad_norm: 0.0449 2024-01-03 22:24:37,693 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:23:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1445, decode.loss_grad: 0.0000, loss: 0.1445, grad_norm: 0.0440 2024-01-03 22:24:40,443 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:23:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1465, decode.loss_grad: 0.0000, loss: 0.1465, grad_norm: 0.0435 2024-01-03 22:24:43,319 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:23:09, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1459, decode.loss_grad: 0.0000, loss: 0.1459, grad_norm: 0.0452 2024-01-03 22:24:46,070 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:24:46,070 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:23:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0434 2024-01-03 22:24:48,782 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:23:02, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1449, decode.loss_grad: 0.0000, loss: 0.1449, grad_norm: 0.0439 2024-01-03 22:24:51,482 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:22:59, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.0451 2024-01-03 22:24:56,677 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:22:59, time: 0.104, data_time: 0.044, memory: 809, decode.loss_depth: 0.1423, decode.loss_grad: 0.0000, loss: 0.1423, grad_norm: 0.0423 2024-01-03 22:24:59,398 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:22:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1441, decode.loss_grad: 0.0000, loss: 0.1441, grad_norm: 0.0422 2024-01-03 22:25:02,117 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:22:52, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1415, decode.loss_grad: 0.0000, loss: 0.1415, grad_norm: 0.0434 2024-01-03 22:25:05,112 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:22:49, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0450 2024-01-03 22:25:07,852 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:22:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1443, decode.loss_grad: 0.0000, loss: 0.1443, grad_norm: 0.0441 2024-01-03 22:25:10,587 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:22:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0413 2024-01-03 22:25:13,306 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:22:40, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1430, decode.loss_grad: 0.0000, loss: 0.1430, grad_norm: 0.0440 2024-01-03 22:25:16,102 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:22:36, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1438, decode.loss_grad: 0.0000, loss: 0.1438, grad_norm: 0.0422 2024-01-03 22:25:18,848 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:22:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1412, decode.loss_grad: 0.0000, loss: 0.1412, grad_norm: 0.0429 2024-01-03 22:25:21,602 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:22:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.0443 2024-01-03 22:25:24,354 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:22:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1435, decode.loss_grad: 0.0000, loss: 0.1435, grad_norm: 0.0437 2024-01-03 22:25:27,317 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:22:24, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1415, decode.loss_grad: 0.0000, loss: 0.1415, grad_norm: 0.0436 2024-01-03 22:25:30,055 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:22:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0448 2024-01-03 22:25:32,779 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:22:17, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1445, decode.loss_grad: 0.0000, loss: 0.1445, grad_norm: 0.0432 2024-01-03 22:25:35,536 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:22:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.0426 2024-01-03 22:25:38,261 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:22:10, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1443, decode.loss_grad: 0.0000, loss: 0.1443, grad_norm: 0.0436 2024-01-03 22:25:41,003 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:22:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1421, decode.loss_grad: 0.0000, loss: 0.1421, grad_norm: 0.0430 2024-01-03 22:25:43,731 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 22:25:43,743 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:25:43,744 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:22:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1441, decode.loss_grad: 0.0000, loss: 0.1441, grad_norm: 0.0425 2024-01-03 22:25:48,926 - mmseg - INFO - Summary: 2024-01-03 22:25:48,926 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7153 | 0.9405 | 0.9875 | 0.1865 | 0.5934 | 0.0756 | 0.2168 | 17.7606 | 0.1464 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:25:48,926 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:25:48,927 - mmseg - INFO - Iter(val) [82] a1: 0.7153, a2: 0.9405, a3: 0.9875, abs_rel: 0.1865013688802719, rmse: 0.5933811068534851, log_10: 0.07563728094100952, rmse_log: 0.2168230563402176, silog: 17.7606, sq_rel: 0.14635103940963745 2024-01-03 22:25:51,683 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:22:08, time: 0.159, data_time: 0.106, memory: 809, decode.loss_depth: 0.1424, decode.loss_grad: 0.0000, loss: 0.1424, grad_norm: 0.0421 2024-01-03 22:25:54,412 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:22:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.0443 2024-01-03 22:25:57,141 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:22:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1434, decode.loss_grad: 0.0000, loss: 0.1434, grad_norm: 0.0444 2024-01-03 22:25:59,882 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:21:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1409, decode.loss_grad: 0.0000, loss: 0.1409, grad_norm: 0.0419 2024-01-03 22:26:02,623 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:21:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1429, decode.loss_grad: 0.0000, loss: 0.1429, grad_norm: 0.0439 2024-01-03 22:26:05,374 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:21:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.0442 2024-01-03 22:26:08,125 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:21:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1429, decode.loss_grad: 0.0000, loss: 0.1429, grad_norm: 0.0434 2024-01-03 22:26:11,056 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:21:45, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0426 2024-01-03 22:26:13,803 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:21:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1430, decode.loss_grad: 0.0000, loss: 0.1430, grad_norm: 0.0430 2024-01-03 22:26:16,528 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:21:39, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.0427 2024-01-03 22:26:19,277 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:21:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1392, decode.loss_grad: 0.0000, loss: 0.1392, grad_norm: 0.0421 2024-01-03 22:26:22,134 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:21:32, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1415, decode.loss_grad: 0.0000, loss: 0.1415, grad_norm: 0.0413 2024-01-03 22:26:24,871 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:21:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0410 2024-01-03 22:26:29,670 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:21:28, time: 0.096, data_time: 0.044, memory: 809, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0431 2024-01-03 22:26:32,421 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:21:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1388, decode.loss_grad: 0.0000, loss: 0.1388, grad_norm: 0.0406 2024-01-03 22:26:35,153 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:21:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1404, decode.loss_grad: 0.0000, loss: 0.1404, grad_norm: 0.0413 2024-01-03 22:26:37,876 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:21:19, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0403 2024-01-03 22:26:40,629 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:21:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0415 2024-01-03 22:26:43,627 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:21:12, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1376, decode.loss_grad: 0.0000, loss: 0.1376, grad_norm: 0.0415 2024-01-03 22:26:46,351 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:26:46,351 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:21:09, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1385, decode.loss_grad: 0.0000, loss: 0.1385, grad_norm: 0.0428 2024-01-03 22:26:49,084 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:21:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1399, decode.loss_grad: 0.0000, loss: 0.1399, grad_norm: 0.0405 2024-01-03 22:26:51,839 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:21:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1364, decode.loss_grad: 0.0000, loss: 0.1364, grad_norm: 0.0417 2024-01-03 22:26:54,581 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:20:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1388, decode.loss_grad: 0.0000, loss: 0.1388, grad_norm: 0.0408 2024-01-03 22:26:57,311 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:20:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1392, decode.loss_grad: 0.0000, loss: 0.1392, grad_norm: 0.0444 2024-01-03 22:27:00,032 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:20:53, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1411, decode.loss_grad: 0.0000, loss: 0.1411, grad_norm: 0.0426 2024-01-03 22:27:02,771 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:20:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1398, decode.loss_grad: 0.0000, loss: 0.1398, grad_norm: 0.0426 2024-01-03 22:27:05,542 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:20:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1400, decode.loss_grad: 0.0000, loss: 0.1400, grad_norm: 0.0425 2024-01-03 22:27:08,283 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:20:43, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0413 2024-01-03 22:27:11,031 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:20:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1391, decode.loss_grad: 0.0000, loss: 0.1391, grad_norm: 0.0429 2024-01-03 22:27:13,773 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:20:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.0397 2024-01-03 22:27:16,580 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:20:34, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1404, decode.loss_grad: 0.0000, loss: 0.1404, grad_norm: 0.0419 2024-01-03 22:27:19,339 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 22:27:19,354 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:20:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1414, decode.loss_grad: 0.0000, loss: 0.1414, grad_norm: 0.0394 2024-01-03 22:27:22,080 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:20:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1382, decode.loss_grad: 0.0000, loss: 0.1382, grad_norm: 0.0402 2024-01-03 22:27:24,912 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:20:24, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1376, decode.loss_grad: 0.0000, loss: 0.1376, grad_norm: 0.0400 2024-01-03 22:27:27,754 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:20:21, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.0423 2024-01-03 22:27:30,484 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:20:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1400, decode.loss_grad: 0.0000, loss: 0.1400, grad_norm: 0.0424 2024-01-03 22:27:33,203 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:20:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1393, decode.loss_grad: 0.0000, loss: 0.1393, grad_norm: 0.0426 2024-01-03 22:27:36,284 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:20:12, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.1375, decode.loss_grad: 0.0000, loss: 0.1375, grad_norm: 0.0411 2024-01-03 22:27:39,029 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:20:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0416 2024-01-03 22:27:41,765 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:27:41,765 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:20:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0415 2024-01-03 22:27:44,499 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:20:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0388 2024-01-03 22:27:47,456 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:19:59, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1382, decode.loss_grad: 0.0000, loss: 0.1382, grad_norm: 0.0434 2024-01-03 22:27:50,151 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:19:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0414 2024-01-03 22:27:54,937 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:19:55, time: 0.096, data_time: 0.044, memory: 809, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0402 2024-01-03 22:27:57,656 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:19:52, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0416 2024-01-03 22:28:00,403 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:19:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0408 2024-01-03 22:28:03,170 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:19:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1370, decode.loss_grad: 0.0000, loss: 0.1370, grad_norm: 0.0406 2024-01-03 22:28:05,893 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:19:42, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.0412 2024-01-03 22:28:09,004 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:19:39, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0394 2024-01-03 22:28:11,701 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:19:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1345, decode.loss_grad: 0.0000, loss: 0.1345, grad_norm: 0.0395 2024-01-03 22:28:14,445 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:19:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1360, decode.loss_grad: 0.0000, loss: 0.1360, grad_norm: 0.0424 2024-01-03 22:28:17,165 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:19:30, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0405 2024-01-03 22:28:20,293 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:19:27, time: 0.063, data_time: 0.002, memory: 809, decode.loss_depth: 0.1387, decode.loss_grad: 0.0000, loss: 0.1387, grad_norm: 0.0425 2024-01-03 22:28:23,021 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:19:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1361, decode.loss_grad: 0.0000, loss: 0.1361, grad_norm: 0.0411 2024-01-03 22:28:25,765 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:19:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1374, decode.loss_grad: 0.0000, loss: 0.1374, grad_norm: 0.0404 2024-01-03 22:28:28,485 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:19:17, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.0379 2024-01-03 22:28:31,472 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:19:15, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1372, decode.loss_grad: 0.0000, loss: 0.1372, grad_norm: 0.0406 2024-01-03 22:28:34,219 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:19:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1398, decode.loss_grad: 0.0000, loss: 0.1398, grad_norm: 0.0418 2024-01-03 22:28:36,949 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:19:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.0412 2024-01-03 22:28:39,697 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:28:39,697 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:19:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1382, decode.loss_grad: 0.0000, loss: 0.1382, grad_norm: 0.0418 2024-01-03 22:28:42,571 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:19:02, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.0400 2024-01-03 22:28:45,319 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:18:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0403 2024-01-03 22:28:48,058 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:18:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1365, decode.loss_grad: 0.0000, loss: 0.1365, grad_norm: 0.0418 2024-01-03 22:28:50,803 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 22:28:50,822 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:18:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0389 2024-01-03 22:28:55,968 - mmseg - INFO - Summary: 2024-01-03 22:28:55,969 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7136 | 0.9395 | 0.9882 | 0.1783 | 0.5965 | 0.076 | 0.2175 | 17.9553 | 0.1394 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:28:55,971 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/deit3_base_patch16_224.fb_in1k/best_abs_rel_iter_12800.pth was removed 2024-01-03 22:28:55,981 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_19200.pth. 2024-01-03 22:28:55,981 - mmseg - INFO - Best abs_rel is 0.1783 at 19200 iter. 2024-01-03 22:28:55,981 - mmseg - INFO - Iter(val) [82] a1: 0.7136, a2: 0.9395, a3: 0.9882, abs_rel: 0.17829866707324982, rmse: 0.5965229868888855, log_10: 0.07596546411514282, rmse_log: 0.2174963504076004, silog: 17.9553, sq_rel: 0.139390230178833 2024-01-03 22:28:58,755 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:18:55, time: 0.159, data_time: 0.105, memory: 809, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.0419 2024-01-03 22:29:01,504 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:18:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.0426 2024-01-03 22:29:04,257 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:18:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1376, decode.loss_grad: 0.0000, loss: 0.1376, grad_norm: 0.0410 2024-01-03 22:29:06,987 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:18:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0382 2024-01-03 22:29:09,720 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:18:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1367, decode.loss_grad: 0.0000, loss: 0.1367, grad_norm: 0.0393 2024-01-03 22:29:12,476 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:18:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1356, decode.loss_grad: 0.0000, loss: 0.1356, grad_norm: 0.0402 2024-01-03 22:29:15,302 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:18:36, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0394 2024-01-03 22:29:18,045 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:18:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1362, decode.loss_grad: 0.0000, loss: 0.1362, grad_norm: 0.0428 2024-01-03 22:29:20,773 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:18:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1356, decode.loss_grad: 0.0000, loss: 0.1356, grad_norm: 0.0383 2024-01-03 22:29:25,576 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:18:28, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0392 2024-01-03 22:29:28,323 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:18:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1344, decode.loss_grad: 0.0000, loss: 0.1344, grad_norm: 0.0390 2024-01-03 22:29:31,055 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:18:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1359, decode.loss_grad: 0.0000, loss: 0.1359, grad_norm: 0.0396 2024-01-03 22:29:33,779 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:18:19, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1336, decode.loss_grad: 0.0000, loss: 0.1336, grad_norm: 0.0388 2024-01-03 22:29:36,725 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:18:16, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1380, decode.loss_grad: 0.0000, loss: 0.1380, grad_norm: 0.0385 2024-01-03 22:29:39,466 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:18:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1350, decode.loss_grad: 0.0000, loss: 0.1350, grad_norm: 0.0400 2024-01-03 22:29:42,191 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:29:42,191 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:18:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.0395 2024-01-03 22:29:44,912 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:18:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0403 2024-01-03 22:29:47,653 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:18:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0379 2024-01-03 22:29:50,382 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:18:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0399 2024-01-03 22:29:53,129 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:17:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1343, decode.loss_grad: 0.0000, loss: 0.1343, grad_norm: 0.0406 2024-01-03 22:29:55,848 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:17:53, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.0408 2024-01-03 22:29:58,852 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:17:50, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1332, decode.loss_grad: 0.0000, loss: 0.1332, grad_norm: 0.0401 2024-01-03 22:30:01,563 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:17:47, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0379 2024-01-03 22:30:04,292 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:17:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0379 2024-01-03 22:30:07,171 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:17:41, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.0391 2024-01-03 22:30:10,022 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:17:38, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1348, decode.loss_grad: 0.0000, loss: 0.1348, grad_norm: 0.0420 2024-01-03 22:30:12,765 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:17:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.0398 2024-01-03 22:30:15,490 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:17:32, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1348, decode.loss_grad: 0.0000, loss: 0.1348, grad_norm: 0.0416 2024-01-03 22:30:18,221 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:17:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1324, decode.loss_grad: 0.0000, loss: 0.1324, grad_norm: 0.0389 2024-01-03 22:30:20,959 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:17:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0399 2024-01-03 22:30:23,708 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:17:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1330, decode.loss_grad: 0.0000, loss: 0.1330, grad_norm: 0.0394 2024-01-03 22:30:26,471 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 22:30:26,483 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:17:19, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1359, decode.loss_grad: 0.0000, loss: 0.1359, grad_norm: 0.0423 2024-01-03 22:30:29,374 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:17:16, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1342, decode.loss_grad: 0.0000, loss: 0.1342, grad_norm: 0.0415 2024-01-03 22:30:32,098 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:17:13, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1301, decode.loss_grad: 0.0000, loss: 0.1301, grad_norm: 0.0389 2024-01-03 22:30:34,828 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:17:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.0384 2024-01-03 22:30:37,566 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:30:37,567 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:17:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0392 2024-01-03 22:30:40,296 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:17:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0386 2024-01-03 22:30:43,042 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:17:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1348, decode.loss_grad: 0.0000, loss: 0.1348, grad_norm: 0.0387 2024-01-03 22:30:45,778 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:16:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.0413 2024-01-03 22:30:50,597 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:16:56, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0410 2024-01-03 22:30:53,480 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:16:53, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1317, decode.loss_grad: 0.0000, loss: 0.1317, grad_norm: 0.0404 2024-01-03 22:30:56,205 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:16:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.0390 2024-01-03 22:30:58,934 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:16:47, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1311, decode.loss_grad: 0.0000, loss: 0.1311, grad_norm: 0.0376 2024-01-03 22:31:01,956 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:16:44, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1311, decode.loss_grad: 0.0000, loss: 0.1311, grad_norm: 0.0388 2024-01-03 22:31:04,686 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:16:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1328, decode.loss_grad: 0.0000, loss: 0.1328, grad_norm: 0.0391 2024-01-03 22:31:07,425 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:16:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1322, decode.loss_grad: 0.0000, loss: 0.1322, grad_norm: 0.0395 2024-01-03 22:31:10,161 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:16:34, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0386 2024-01-03 22:31:12,905 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:16:31, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1297, decode.loss_grad: 0.0000, loss: 0.1297, grad_norm: 0.0398 2024-01-03 22:31:15,628 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:16:28, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1341, decode.loss_grad: 0.0000, loss: 0.1341, grad_norm: 0.0409 2024-01-03 22:31:18,396 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:16:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0394 2024-01-03 22:31:21,130 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:16:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0399 2024-01-03 22:31:24,088 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:16:19, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0393 2024-01-03 22:31:26,839 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:16:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0392 2024-01-03 22:31:29,565 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:16:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1348, decode.loss_grad: 0.0000, loss: 0.1348, grad_norm: 0.0379 2024-01-03 22:31:32,314 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:16:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1319, decode.loss_grad: 0.0000, loss: 0.1319, grad_norm: 0.0392 2024-01-03 22:31:35,121 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:31:35,121 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:16:07, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1301, decode.loss_grad: 0.0000, loss: 0.1301, grad_norm: 0.0384 2024-01-03 22:31:37,883 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:16:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1305, decode.loss_grad: 0.0000, loss: 0.1305, grad_norm: 0.0397 2024-01-03 22:31:40,617 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:16:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1319, decode.loss_grad: 0.0000, loss: 0.1319, grad_norm: 0.0381 2024-01-03 22:31:43,362 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:15:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1307, decode.loss_grad: 0.0000, loss: 0.1307, grad_norm: 0.0382 2024-01-03 22:31:46,397 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:15:54, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0413 2024-01-03 22:31:49,130 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:15:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0404 2024-01-03 22:31:51,858 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:15:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0404 2024-01-03 22:31:54,589 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:15:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1324, decode.loss_grad: 0.0000, loss: 0.1324, grad_norm: 0.0390 2024-01-03 22:31:57,484 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 22:31:57,500 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:15:42, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1338, decode.loss_grad: 0.0000, loss: 0.1338, grad_norm: 0.0405 2024-01-03 22:32:02,639 - mmseg - INFO - Summary: 2024-01-03 22:32:02,640 - mmseg - INFO - +--------+-------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+-------+---------+--------+--------+----------+---------+--------+ | 0.7152 | 0.941 | 0.988 | 0.1798 | 0.5975 | 0.0756 | 0.2173 | 17.8481 | 0.1422 | +--------+-------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:32:02,640 - mmseg - INFO - Iter(val) [82] a1: 0.7152, a2: 0.9410, a3: 0.9880, abs_rel: 0.17975130677223206, rmse: 0.5975254774093628, log_10: 0.07560652494430542, rmse_log: 0.21727648377418518, silog: 17.8481, sq_rel: 0.14224040508270264 2024-01-03 22:32:05,381 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:15:43, time: 0.158, data_time: 0.105, memory: 809, decode.loss_depth: 0.1311, decode.loss_grad: 0.0000, loss: 0.1311, grad_norm: 0.0395 2024-01-03 22:32:08,261 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:15:40, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.0384 2024-01-03 22:32:11,005 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:15:37, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0368 2024-01-03 22:32:13,737 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:15:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1298, decode.loss_grad: 0.0000, loss: 0.1298, grad_norm: 0.0370 2024-01-03 22:32:16,489 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:15:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.0392 2024-01-03 22:32:19,229 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:15:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.0389 2024-01-03 22:32:24,017 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:15:26, time: 0.096, data_time: 0.044, memory: 809, decode.loss_depth: 0.1278, decode.loss_grad: 0.0000, loss: 0.1278, grad_norm: 0.0386 2024-01-03 22:32:26,751 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:15:22, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1324, decode.loss_grad: 0.0000, loss: 0.1324, grad_norm: 0.0396 2024-01-03 22:32:29,481 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:15:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0375 2024-01-03 22:32:32,216 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:15:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0377 2024-01-03 22:32:34,943 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:15:13, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0407 2024-01-03 22:32:37,675 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:32:37,675 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:15:10, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1301, decode.loss_grad: 0.0000, loss: 0.1301, grad_norm: 0.0381 2024-01-03 22:32:40,643 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:15:07, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1321, decode.loss_grad: 0.0000, loss: 0.1321, grad_norm: 0.0402 2024-01-03 22:32:43,419 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:15:04, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0404 2024-01-03 22:32:46,190 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:15:01, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.0390 2024-01-03 22:32:48,915 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:14:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.0377 2024-01-03 22:32:51,820 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:14:55, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1326, decode.loss_grad: 0.0000, loss: 0.1326, grad_norm: 0.0385 2024-01-03 22:32:54,525 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:14:52, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0387 2024-01-03 22:32:57,264 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:14:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0374 2024-01-03 22:32:59,994 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:14:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0386 2024-01-03 22:33:03,062 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:14:43, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1292, decode.loss_grad: 0.0000, loss: 0.1292, grad_norm: 0.0385 2024-01-03 22:33:05,801 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:14:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0374 2024-01-03 22:33:08,515 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:14:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1261, decode.loss_grad: 0.0000, loss: 0.1261, grad_norm: 0.0371 2024-01-03 22:33:11,389 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:14:33, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0389 2024-01-03 22:33:14,198 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:14:30, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0375 2024-01-03 22:33:16,914 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:14:27, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0416 2024-01-03 22:33:19,637 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:14:24, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1306, decode.loss_grad: 0.0000, loss: 0.1306, grad_norm: 0.0401 2024-01-03 22:33:22,369 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:14:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0378 2024-01-03 22:33:25,099 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:14:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0401 2024-01-03 22:33:27,840 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:14:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1289, decode.loss_grad: 0.0000, loss: 0.1289, grad_norm: 0.0374 2024-01-03 22:33:30,570 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:14:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0378 2024-01-03 22:33:33,326 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 22:33:33,337 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:33:33,337 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:14:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1317, decode.loss_grad: 0.0000, loss: 0.1317, grad_norm: 0.0393 2024-01-03 22:33:36,051 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:14:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1287, decode.loss_grad: 0.0000, loss: 0.1287, grad_norm: 0.0389 2024-01-03 22:33:38,759 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:14:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.0397 2024-01-03 22:33:41,499 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:14:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1314, decode.loss_grad: 0.0000, loss: 0.1314, grad_norm: 0.0410 2024-01-03 22:33:44,498 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:13:57, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1286, decode.loss_grad: 0.0000, loss: 0.1286, grad_norm: 0.0376 2024-01-03 22:33:49,306 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:13:55, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0388 2024-01-03 22:33:52,057 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:13:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1284, decode.loss_grad: 0.0000, loss: 0.1284, grad_norm: 0.0379 2024-01-03 22:33:54,973 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:13:49, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0347 2024-01-03 22:33:57,774 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:13:46, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1279, decode.loss_grad: 0.0000, loss: 0.1279, grad_norm: 0.0390 2024-01-03 22:34:00,497 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:13:43, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0369 2024-01-03 22:34:03,228 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:13:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0391 2024-01-03 22:34:05,946 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:13:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0400 2024-01-03 22:34:08,692 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:13:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0376 2024-01-03 22:34:11,425 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:13:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0384 2024-01-03 22:34:14,182 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:13:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0388 2024-01-03 22:34:17,075 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:13:24, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0385 2024-01-03 22:34:19,813 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:13:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1272, decode.loss_grad: 0.0000, loss: 0.1272, grad_norm: 0.0381 2024-01-03 22:34:22,530 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:13:18, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0383 2024-01-03 22:34:25,258 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:13:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0377 2024-01-03 22:34:28,571 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:13:12, time: 0.066, data_time: 0.002, memory: 809, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0362 2024-01-03 22:34:31,318 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:34:31,318 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:13:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0372 2024-01-03 22:34:34,040 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:13:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0381 2024-01-03 22:34:36,773 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:13:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0383 2024-01-03 22:34:39,595 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:13:00, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0385 2024-01-03 22:34:42,336 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:12:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0391 2024-01-03 22:34:45,040 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:12:54, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1261, decode.loss_grad: 0.0000, loss: 0.1261, grad_norm: 0.0382 2024-01-03 22:34:47,739 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:12:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.0395 2024-01-03 22:34:50,795 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:12:48, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0377 2024-01-03 22:34:53,521 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:12:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0389 2024-01-03 22:34:56,233 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:12:42, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0383 2024-01-03 22:34:58,959 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:12:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0355 2024-01-03 22:35:01,911 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:12:36, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.0385 2024-01-03 22:35:04,663 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 22:35:04,680 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:12:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0366 2024-01-03 22:35:09,832 - mmseg - INFO - Summary: 2024-01-03 22:35:09,832 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7157 | 0.9404 | 0.9874 | 0.1844 | 0.5969 | 0.0755 | 0.2171 | 17.7571 | 0.1487 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:35:09,832 - mmseg - INFO - Iter(val) [82] a1: 0.7157, a2: 0.9404, a3: 0.9874, abs_rel: 0.1843670755624771, rmse: 0.5968548059463501, log_10: 0.0755256861448288, rmse_log: 0.21706856787204742, silog: 17.7571, sq_rel: 0.1487123966217041 2024-01-03 22:35:12,693 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:12:33, time: 0.160, data_time: 0.105, memory: 809, decode.loss_depth: 0.1265, decode.loss_grad: 0.0000, loss: 0.1265, grad_norm: 0.0356 2024-01-03 22:35:15,439 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:12:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1286, decode.loss_grad: 0.0000, loss: 0.1286, grad_norm: 0.0390 2024-01-03 22:35:20,232 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:12:27, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0374 2024-01-03 22:35:22,975 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:12:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0371 2024-01-03 22:35:25,721 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:12:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0394 2024-01-03 22:35:28,455 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:12:18, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0392 2024-01-03 22:35:31,149 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:12:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0360 2024-01-03 22:35:33,942 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:35:33,942 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:12:12, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1276, decode.loss_grad: 0.0000, loss: 0.1276, grad_norm: 0.0370 2024-01-03 22:35:36,647 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:12:09, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0375 2024-01-03 22:35:39,345 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:12:06, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0355 2024-01-03 22:35:42,100 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:12:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0367 2024-01-03 22:35:44,993 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:12:00, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1271, decode.loss_grad: 0.0000, loss: 0.1271, grad_norm: 0.0384 2024-01-03 22:35:47,714 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:11:57, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.0372 2024-01-03 22:35:50,483 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:11:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0374 2024-01-03 22:35:53,266 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:11:51, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0393 2024-01-03 22:35:56,160 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:11:48, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.0389 2024-01-03 22:35:58,909 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:11:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0373 2024-01-03 22:36:01,639 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:11:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0365 2024-01-03 22:36:04,541 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:11:39, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1261, decode.loss_grad: 0.0000, loss: 0.1261, grad_norm: 0.0374 2024-01-03 22:36:07,255 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:11:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0407 2024-01-03 22:36:09,993 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:11:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1275, decode.loss_grad: 0.0000, loss: 0.1275, grad_norm: 0.0372 2024-01-03 22:36:12,707 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:11:30, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0377 2024-01-03 22:36:15,625 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:11:27, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0370 2024-01-03 22:36:18,359 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:11:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0369 2024-01-03 22:36:21,088 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:11:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0393 2024-01-03 22:36:23,812 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:11:18, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0371 2024-01-03 22:36:26,802 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:11:15, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0378 2024-01-03 22:36:29,556 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:36:29,556 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:11:12, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0384 2024-01-03 22:36:32,292 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:11:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0378 2024-01-03 22:36:35,054 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:11:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0376 2024-01-03 22:36:37,856 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:11:03, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0369 2024-01-03 22:36:40,569 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 22:36:40,581 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:10:59, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0371 2024-01-03 22:36:43,285 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:10:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0360 2024-01-03 22:36:48,133 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:10:54, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.0372 2024-01-03 22:36:50,879 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:10:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0364 2024-01-03 22:36:53,648 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:10:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0364 2024-01-03 22:36:56,350 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:10:45, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1253, decode.loss_grad: 0.0000, loss: 0.1253, grad_norm: 0.0368 2024-01-03 22:36:59,154 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:10:42, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0365 2024-01-03 22:37:01,899 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:10:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0351 2024-01-03 22:37:04,643 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:10:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0362 2024-01-03 22:37:07,368 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:10:33, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0360 2024-01-03 22:37:10,349 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:10:30, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0370 2024-01-03 22:37:13,070 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:10:27, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0366 2024-01-03 22:37:15,782 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:10:24, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0382 2024-01-03 22:37:18,551 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:10:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0366 2024-01-03 22:37:21,614 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:10:18, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0369 2024-01-03 22:37:24,338 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:10:15, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0378 2024-01-03 22:37:27,059 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:37:27,059 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:10:12, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0375 2024-01-03 22:37:29,807 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:10:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0366 2024-01-03 22:37:32,546 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:10:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0372 2024-01-03 22:37:35,254 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:10:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0374 2024-01-03 22:37:38,003 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:10:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1239, decode.loss_grad: 0.0000, loss: 0.1239, grad_norm: 0.0371 2024-01-03 22:37:40,756 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:09:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0368 2024-01-03 22:37:43,774 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:09:54, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0378 2024-01-03 22:37:46,543 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:09:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0377 2024-01-03 22:37:49,269 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:09:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0358 2024-01-03 22:37:51,998 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:09:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0377 2024-01-03 22:37:54,796 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:09:42, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0370 2024-01-03 22:37:57,504 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:09:39, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0376 2024-01-03 22:38:00,222 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:09:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0360 2024-01-03 22:38:02,953 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:09:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0380 2024-01-03 22:38:05,976 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:09:30, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.0370 2024-01-03 22:38:08,705 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:09:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0356 2024-01-03 22:38:13,504 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 22:38:13,519 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:09:25, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0375 2024-01-03 22:38:18,659 - mmseg - INFO - Summary: 2024-01-03 22:38:18,659 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7212 | 0.9419 | 0.9881 | 0.1803 | 0.5899 | 0.0747 | 0.215 | 17.7566 | 0.1422 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:38:18,660 - mmseg - INFO - Iter(val) [82] a1: 0.7212, a2: 0.9419, a3: 0.9881, abs_rel: 0.1802908033132553, rmse: 0.58986496925354, log_10: 0.07469674944877625, rmse_log: 0.21501390635967255, silog: 17.7566, sq_rel: 0.14216308295726776 2024-01-03 22:38:21,394 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:09:23, time: 0.158, data_time: 0.105, memory: 809, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0371 2024-01-03 22:38:24,123 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:09:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0356 2024-01-03 22:38:27,059 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:09:17, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0367 2024-01-03 22:38:29,749 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:38:29,749 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:09:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0360 2024-01-03 22:38:32,447 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:09:11, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1254, decode.loss_grad: 0.0000, loss: 0.1254, grad_norm: 0.0361 2024-01-03 22:38:35,197 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:09:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0356 2024-01-03 22:38:37,946 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:09:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1261, decode.loss_grad: 0.0000, loss: 0.1261, grad_norm: 0.0349 2024-01-03 22:38:40,695 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:09:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0359 2024-01-03 22:38:43,429 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:08:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0375 2024-01-03 22:38:46,136 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:08:56, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0373 2024-01-03 22:38:49,045 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:08:53, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0378 2024-01-03 22:38:51,782 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:08:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0373 2024-01-03 22:38:54,492 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:08:47, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0379 2024-01-03 22:38:57,228 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0360 2024-01-03 22:39:00,336 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:41, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0361 2024-01-03 22:39:03,071 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:08:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0354 2024-01-03 22:39:05,824 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:08:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0356 2024-01-03 22:39:09,002 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:08:32, time: 0.064, data_time: 0.002, memory: 809, decode.loss_depth: 0.1239, decode.loss_grad: 0.0000, loss: 0.1239, grad_norm: 0.0370 2024-01-03 22:39:11,727 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:08:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0354 2024-01-03 22:39:14,416 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:08:26, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0358 2024-01-03 22:39:17,154 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:08:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0353 2024-01-03 22:39:20,113 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:08:20, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0362 2024-01-03 22:39:22,844 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:08:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0350 2024-01-03 22:39:25,568 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:39:25,568 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:08:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0374 2024-01-03 22:39:28,306 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:08:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0356 2024-01-03 22:39:31,119 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:08:08, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0365 2024-01-03 22:39:33,860 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:08:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0351 2024-01-03 22:39:36,592 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:08:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0364 2024-01-03 22:39:39,332 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:07:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0368 2024-01-03 22:39:44,166 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:07:57, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0342 2024-01-03 22:39:46,893 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:07:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0351 2024-01-03 22:39:49,651 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 22:39:49,662 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:07:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0347 2024-01-03 22:39:52,439 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:07:48, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0359 2024-01-03 22:39:55,165 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0370 2024-01-03 22:39:57,931 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0353 2024-01-03 22:40:00,657 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0355 2024-01-03 22:40:03,425 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0355 2024-01-03 22:40:06,164 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:07:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0352 2024-01-03 22:40:08,909 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:30, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0353 2024-01-03 22:40:11,639 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:07:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0344 2024-01-03 22:40:14,788 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:07:24, time: 0.063, data_time: 0.002, memory: 809, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0344 2024-01-03 22:40:17,528 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:07:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0362 2024-01-03 22:40:20,317 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:07:18, time: 0.056, data_time: 0.003, memory: 809, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0374 2024-01-03 22:40:23,066 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:40:23,066 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:07:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0355 2024-01-03 22:40:25,982 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:07:12, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0346 2024-01-03 22:40:28,718 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:07:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0335 2024-01-03 22:40:31,456 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:07:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0370 2024-01-03 22:40:34,171 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:07:03, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0371 2024-01-03 22:40:36,913 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:07:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0359 2024-01-03 22:40:39,625 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:06:57, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0355 2024-01-03 22:40:42,401 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:06:54, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0369 2024-01-03 22:40:45,147 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:06:51, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0345 2024-01-03 22:40:47,921 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0341 2024-01-03 22:40:50,632 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:45, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0361 2024-01-03 22:40:53,379 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0345 2024-01-03 22:40:56,113 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0350 2024-01-03 22:40:58,892 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:36, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0353 2024-01-03 22:41:01,629 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0343 2024-01-03 22:41:04,409 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:30, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0363 2024-01-03 22:41:09,226 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:28, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0375 2024-01-03 22:41:11,967 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:06:25, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0348 2024-01-03 22:41:14,687 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:06:22, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0347 2024-01-03 22:41:17,414 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:06:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0352 2024-01-03 22:41:20,372 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 22:41:20,386 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:41:20,386 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:06:16, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0351 2024-01-03 22:41:25,550 - mmseg - INFO - Summary: 2024-01-03 22:41:25,550 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.7211 | 0.942 | 0.9879 | 0.1811 | 0.5891 | 0.0747 | 0.2149 | 17.7302 | 0.1431 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:41:25,551 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:41:25,551 - mmseg - INFO - Iter(val) [82] a1: 0.7211, a2: 0.9420, a3: 0.9879, abs_rel: 0.1811358779668808, rmse: 0.5891427993774414, log_10: 0.07472386956214905, rmse_log: 0.21491126716136932, silog: 17.7302, sq_rel: 0.14311137795448303 2024-01-03 22:41:28,249 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:14, time: 0.157, data_time: 0.105, memory: 809, decode.loss_depth: 0.1246, decode.loss_grad: 0.0000, loss: 0.1246, grad_norm: 0.0352 2024-01-03 22:41:31,160 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:11, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0352 2024-01-03 22:41:33,913 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0344 2024-01-03 22:41:36,643 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:06:05, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0340 2024-01-03 22:41:39,400 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:06:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0346 2024-01-03 22:41:42,153 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:05:59, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1201, decode.loss_grad: 0.0000, loss: 0.1201, grad_norm: 0.0350 2024-01-03 22:41:44,879 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:05:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0356 2024-01-03 22:41:47,613 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:05:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1240, decode.loss_grad: 0.0000, loss: 0.1240, grad_norm: 0.0348 2024-01-03 22:41:50,347 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0352 2024-01-03 22:41:53,436 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:47, time: 0.062, data_time: 0.002, memory: 809, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0347 2024-01-03 22:41:56,157 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:44, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0339 2024-01-03 22:41:58,896 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0350 2024-01-03 22:42:01,798 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:38, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0345 2024-01-03 22:42:04,510 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:35, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0351 2024-01-03 22:42:07,235 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:32, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0348 2024-01-03 22:42:09,998 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:29, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0342 2024-01-03 22:42:12,788 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:26, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0352 2024-01-03 22:42:15,551 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0338 2024-01-03 22:42:18,270 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:20, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0357 2024-01-03 22:42:21,008 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:42:21,008 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:17, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0343 2024-01-03 22:42:23,816 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:15, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1239, decode.loss_grad: 0.0000, loss: 0.1239, grad_norm: 0.0346 2024-01-03 22:42:26,538 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:12, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0352 2024-01-03 22:42:29,278 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0366 2024-01-03 22:42:32,026 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:05:06, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0337 2024-01-03 22:42:34,768 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:05:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0349 2024-01-03 22:42:37,480 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:05:00, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0346 2024-01-03 22:42:42,309 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:04:57, time: 0.097, data_time: 0.043, memory: 809, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0350 2024-01-03 22:42:45,047 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:04:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0336 2024-01-03 22:42:47,879 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:51, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1240, decode.loss_grad: 0.0000, loss: 0.1240, grad_norm: 0.0343 2024-01-03 22:42:50,616 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:48, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0349 2024-01-03 22:42:53,369 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:45, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0353 2024-01-03 22:42:56,105 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 22:42:56,116 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:42, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0331 2024-01-03 22:42:58,850 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:39, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0348 2024-01-03 22:43:01,593 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:36, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0339 2024-01-03 22:43:04,333 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0359 2024-01-03 22:43:07,212 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:30, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0347 2024-01-03 22:43:09,949 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:27, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0340 2024-01-03 22:43:12,679 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:24, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0363 2024-01-03 22:43:15,417 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:21, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0333 2024-01-03 22:43:18,246 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:43:18,246 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:18, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0366 2024-01-03 22:43:21,004 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0341 2024-01-03 22:43:23,716 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:12, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0349 2024-01-03 22:43:26,451 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:09, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0335 2024-01-03 22:43:29,189 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0342 2024-01-03 22:43:31,935 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0356 2024-01-03 22:43:34,659 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:04:01, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0338 2024-01-03 22:43:37,394 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:03:58, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0341 2024-01-03 22:43:40,351 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:03:55, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0346 2024-01-03 22:43:43,082 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1178, decode.loss_grad: 0.0000, loss: 0.1178, grad_norm: 0.0336 2024-01-03 22:43:45,816 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:49, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0341 2024-01-03 22:43:48,561 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:46, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0342 2024-01-03 22:43:51,486 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:43, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0358 2024-01-03 22:43:54,222 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0338 2024-01-03 22:43:56,938 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:37, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0355 2024-01-03 22:43:59,653 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:34, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0342 2024-01-03 22:44:02,509 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:31, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0351 2024-01-03 22:44:07,276 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:28, time: 0.095, data_time: 0.044, memory: 809, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0349 2024-01-03 22:44:09,984 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0337 2024-01-03 22:44:13,050 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:22, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0346 2024-01-03 22:44:15,794 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:44:15,794 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0352 2024-01-03 22:44:18,523 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1207, decode.loss_grad: 0.0000, loss: 0.1207, grad_norm: 0.0343 2024-01-03 22:44:21,270 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:14, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0352 2024-01-03 22:44:24,132 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:11, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0344 2024-01-03 22:44:26,862 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 22:44:26,877 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0341 2024-01-03 22:44:32,052 - mmseg - INFO - Summary: 2024-01-03 22:44:32,052 - mmseg - INFO - +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.721 | 0.9422 | 0.9883 | 0.1798 | 0.5886 | 0.0746 | 0.2146 | 17.7183 | 0.1414 | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 22:44:32,052 - mmseg - INFO - Iter(val) [82] a1: 0.7210, a2: 0.9422, a3: 0.9883, abs_rel: 0.17982351779937744, rmse: 0.5886216163635254, log_10: 0.07463891804218292, rmse_log: 0.21457399427890778, silog: 17.7183, sq_rel: 0.1414085477590561 2024-01-03 22:44:35,040 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:05, time: 0.163, data_time: 0.105, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0345 2024-01-03 22:44:37,774 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0334 2024-01-03 22:44:40,497 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:02:59, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0332 2024-01-03 22:44:43,227 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:02:56, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0332 2024-01-03 22:44:45,967 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:53, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0344 2024-01-03 22:44:48,698 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:50, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0343 2024-01-03 22:44:51,423 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:47, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0347 2024-01-03 22:44:54,145 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:44, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0356 2024-01-03 22:44:56,889 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0342 2024-01-03 22:44:59,621 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0353 2024-01-03 22:45:02,340 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:36, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0351 2024-01-03 22:45:05,081 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:33, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0361 2024-01-03 22:45:08,058 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:30, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0340 2024-01-03 22:45:10,778 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:27, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0345 2024-01-03 22:45:13,502 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:24, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0352 2024-01-03 22:45:16,222 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:45:16,222 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:21, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0343 2024-01-03 22:45:19,209 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:18, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0345 2024-01-03 22:45:21,946 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:15, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0341 2024-01-03 22:45:24,653 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:12, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0337 2024-01-03 22:45:27,499 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:09, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0341 2024-01-03 22:45:30,295 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:06, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0345 2024-01-03 22:45:33,044 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:03, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0341 2024-01-03 22:45:37,838 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:02:00, time: 0.096, data_time: 0.043, memory: 809, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0340 2024-01-03 22:45:40,568 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:01:57, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0321 2024-01-03 22:45:43,315 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:54, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0337 2024-01-03 22:45:46,016 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:51, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1183, decode.loss_grad: 0.0000, loss: 0.1183, grad_norm: 0.0353 2024-01-03 22:45:48,734 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:48, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0340 2024-01-03 22:45:51,810 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:45, time: 0.061, data_time: 0.002, memory: 809, decode.loss_depth: 0.1217, decode.loss_grad: 0.0000, loss: 0.1217, grad_norm: 0.0331 2024-01-03 22:45:54,529 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:42, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0333 2024-01-03 22:45:57,278 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:40, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0331 2024-01-03 22:46:00,151 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:37, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0340 2024-01-03 22:46:03,003 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 22:46:03,015 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:34, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0337 2024-01-03 22:46:05,728 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:31, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0341 2024-01-03 22:46:08,446 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:28, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0336 2024-01-03 22:46:11,162 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:25, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0350 2024-01-03 22:46:13,879 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:46:13,879 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:22, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0323 2024-01-03 22:46:16,633 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:19, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0343 2024-01-03 22:46:19,384 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:16, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0341 2024-01-03 22:46:22,392 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:13, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0351 2024-01-03 22:46:25,117 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:10, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0351 2024-01-03 22:46:27,873 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:07, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0347 2024-01-03 22:46:30,605 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:04, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0340 2024-01-03 22:46:33,526 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:01, time: 0.058, data_time: 0.002, memory: 809, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0343 2024-01-03 22:46:36,215 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:00:58, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0336 2024-01-03 22:46:38,978 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:55, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0359 2024-01-03 22:46:41,717 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:52, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0350 2024-01-03 22:46:44,644 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:49, time: 0.059, data_time: 0.002, memory: 809, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0328 2024-01-03 22:46:47,421 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:47, time: 0.056, data_time: 0.002, memory: 809, decode.loss_depth: 0.1210, decode.loss_grad: 0.0000, loss: 0.1210, grad_norm: 0.0329 2024-01-03 22:46:50,165 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:44, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0334 2024-01-03 22:46:52,892 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:41, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1188, decode.loss_grad: 0.0000, loss: 0.1188, grad_norm: 0.0333 2024-01-03 22:46:55,647 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:38, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0322 2024-01-03 22:46:58,401 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:35, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0325 2024-01-03 22:47:01,109 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:32, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1197, decode.loss_grad: 0.0000, loss: 0.1197, grad_norm: 0.0338 2024-01-03 22:47:06,035 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:29, time: 0.099, data_time: 0.043, memory: 809, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0349 2024-01-03 22:47:08,780 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:26, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0358 2024-01-03 22:47:11,531 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 22:47:11,531 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:23, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0335 2024-01-03 22:47:14,258 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:20, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0340 2024-01-03 22:47:17,251 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:17, time: 0.060, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0321 2024-01-03 22:47:19,971 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:14, time: 0.054, data_time: 0.002, memory: 809, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0340 2024-01-03 22:47:22,729 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:11, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0335 2024-01-03 22:47:25,454 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:08, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0337 2024-01-03 22:47:28,306 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:05, time: 0.057, data_time: 0.002, memory: 809, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0346 2024-01-03 22:47:31,031 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:02, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0337 2024-01-03 22:47:33,765 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 22:47:33,782 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.055, data_time: 0.002, memory: 809, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0345 2024-01-03 22:47:38,918 - mmseg - INFO - Summary: 2024-01-03 22:47:38,919 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.7207 | 0.9421 | 0.9881 | 0.1802 | 0.5891 | 0.0747 | 0.2147 | 17.725 | 0.1419 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 22:47:38,919 - mmseg - INFO - Iter(val) [82] a1: 0.7207, a2: 0.9421, a3: 0.9881, abs_rel: 0.18017537891864777, rmse: 0.5890740156173706, log_10: 0.07467375695705414, rmse_log: 0.2147396206855774, silog: 17.7250, sq_rel: 0.14192642271518707