2024-01-03 17:09:04,048 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A6000 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.58 GCC: gcc (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 PyTorch: 2.0.0+cu117 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.15.0+cu117 OpenCV: 4.8.1 MMCV: 1.5.0 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.27.0+a3118f0 ------------------------------------------------------------ 2024-01-03 17:09:04,049 - mmseg - INFO - Distributed training: True 2024-01-03 17:09:04,050 - 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/eva02_base_patch16_clip_224.merged2b', 'gpu_ids': range(0, 1)} 2024-01-03 17:09:08,872 - mmseg - INFO - Loading backbone from eva02_base_patch16_clip_224.merged2b 2024-01-03 17:09:09,107 - 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.q_proj.weight', 'vit.model.blocks.0.attn.q_proj.bias', 'vit.model.blocks.0.attn.k_proj.weight', 'vit.model.blocks.0.attn.v_proj.weight', 'vit.model.blocks.0.attn.v_proj.bias', 'vit.model.blocks.0.attn.norm.weight', 'vit.model.blocks.0.attn.norm.bias', 'vit.model.blocks.0.attn.proj.weight', 'vit.model.blocks.0.attn.proj.bias', 'vit.model.blocks.0.norm2.weight', 'vit.model.blocks.0.norm2.bias', 'vit.model.blocks.0.mlp.fc1_g.weight', 'vit.model.blocks.0.mlp.fc1_g.bias', 'vit.model.blocks.0.mlp.fc1_x.weight', 'vit.model.blocks.0.mlp.fc1_x.bias', 'vit.model.blocks.0.mlp.norm.weight', 'vit.model.blocks.0.mlp.norm.bias', 'vit.model.blocks.0.mlp.fc2.weight', 'vit.model.blocks.0.mlp.fc2.bias', 'vit.model.blocks.1.norm1.weight', 'vit.model.blocks.1.norm1.bias', 'vit.model.blocks.1.attn.q_proj.weight', 'vit.model.blocks.1.attn.q_proj.bias', 'vit.model.blocks.1.attn.k_proj.weight', 'vit.model.blocks.1.attn.v_proj.weight', 'vit.model.blocks.1.attn.v_proj.bias', 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'vit.model.blocks.8.mlp.norm.weight', 'vit.model.blocks.8.mlp.norm.bias', 'vit.model.blocks.8.mlp.fc2.weight', 'vit.model.blocks.8.mlp.fc2.bias', 'vit.model.blocks.9.norm1.weight', 'vit.model.blocks.9.norm1.bias', 'vit.model.blocks.9.attn.q_proj.weight', 'vit.model.blocks.9.attn.q_proj.bias', 'vit.model.blocks.9.attn.k_proj.weight', 'vit.model.blocks.9.attn.v_proj.weight', 'vit.model.blocks.9.attn.v_proj.bias', 'vit.model.blocks.9.attn.norm.weight', 'vit.model.blocks.9.attn.norm.bias', 'vit.model.blocks.9.attn.proj.weight', 'vit.model.blocks.9.attn.proj.bias', 'vit.model.blocks.9.norm2.weight', 'vit.model.blocks.9.norm2.bias', 'vit.model.blocks.9.mlp.fc1_g.weight', 'vit.model.blocks.9.mlp.fc1_g.bias', 'vit.model.blocks.9.mlp.fc1_x.weight', 'vit.model.blocks.9.mlp.fc1_x.bias', 'vit.model.blocks.9.mlp.norm.weight', 'vit.model.blocks.9.mlp.norm.bias', 'vit.model.blocks.9.mlp.fc2.weight', 'vit.model.blocks.9.mlp.fc2.bias', 'vit.model.blocks.10.norm1.weight', 'vit.model.blocks.10.norm1.bias', 'vit.model.blocks.10.attn.q_proj.weight', 'vit.model.blocks.10.attn.q_proj.bias', 'vit.model.blocks.10.attn.k_proj.weight', 'vit.model.blocks.10.attn.v_proj.weight', 'vit.model.blocks.10.attn.v_proj.bias', 'vit.model.blocks.10.attn.norm.weight', 'vit.model.blocks.10.attn.norm.bias', 'vit.model.blocks.10.attn.proj.weight', 'vit.model.blocks.10.attn.proj.bias', 'vit.model.blocks.10.norm2.weight', 'vit.model.blocks.10.norm2.bias', 'vit.model.blocks.10.mlp.fc1_g.weight', 'vit.model.blocks.10.mlp.fc1_g.bias', 'vit.model.blocks.10.mlp.fc1_x.weight', 'vit.model.blocks.10.mlp.fc1_x.bias', 'vit.model.blocks.10.mlp.norm.weight', 'vit.model.blocks.10.mlp.norm.bias', 'vit.model.blocks.10.mlp.fc2.weight', 'vit.model.blocks.10.mlp.fc2.bias', 'vit.model.blocks.11.norm1.weight', 'vit.model.blocks.11.norm1.bias', 'vit.model.blocks.11.attn.q_proj.weight', 'vit.model.blocks.11.attn.q_proj.bias', 'vit.model.blocks.11.attn.k_proj.weight', 'vit.model.blocks.11.attn.v_proj.weight', 'vit.model.blocks.11.attn.v_proj.bias', 'vit.model.blocks.11.attn.norm.weight', 'vit.model.blocks.11.attn.norm.bias', 'vit.model.blocks.11.attn.proj.weight', 'vit.model.blocks.11.attn.proj.bias', 'vit.model.blocks.11.norm2.weight', 'vit.model.blocks.11.norm2.bias', 'vit.model.blocks.11.mlp.fc1_g.weight', 'vit.model.blocks.11.mlp.fc1_g.bias', 'vit.model.blocks.11.mlp.fc1_x.weight', 'vit.model.blocks.11.mlp.fc1_x.bias', 'vit.model.blocks.11.mlp.norm.weight', 'vit.model.blocks.11.mlp.norm.bias', 'vit.model.blocks.11.mlp.fc2.weight', 'vit.model.blocks.11.mlp.fc2.bias', 'vit.model.norm.weight', 'vit.model.norm.bias'], unexpected_keys=[]) 2024-01-03 17:09:09,109 - mmseg - INFO - pos_embed loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.norm1.weight loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.norm1.bias loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.attn.qkv.weight loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.attn.qkv.bias loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.attn.proj.weight loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.attn.proj.bias loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.norm2.weight loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.norm2.bias loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.mlp.fc1.weight loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.mlp.fc1.bias loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.mlp.fc2.weight loaded 2024-01-03 17:09:09,109 - mmseg - INFO - denoiser.mlp.fc2.bias loaded 2024-01-03 17:09:09,133 - mmseg - INFO - DepthEncoderDecoder( (backbone): DinoVisionTransformer() (decode_head): BNHead( align_corners=False (loss_decode): ModuleList( (0): SigLoss() (1): GradientLoss() ) (softmax): Softmax(dim=1) (conv_depth): Conv2d(1536, 256, kernel_size=(1, 1), stride=(1, 1)) (relu): ReLU() (sigmoid): Sigmoid() ) ) 2024-01-03 17:09:09,216 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:09:11,880 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:09:11,881 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/eva02_base_patch16_clip_224.merged2b 2024-01-03 17:09:11,881 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) CosineAnnealingLrUpdaterHook (HIGH ) OneCycleMomentumUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2024-01-03 17:09:11,881 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:09:11,881 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/eva02_base_patch16_clip_224.merged2b by HardDiskBackend. 2024-01-03 17:09:29,920 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:21:20, time: 0.127, data_time: 0.005, memory: 811, decode.loss_depth: 0.2028, decode.loss_grad: 0.0000, loss: 0.2028, grad_norm: 0.6514 2024-01-03 17:09:32,966 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:00:03, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.0749, decode.loss_grad: 0.0000, loss: 0.0749, grad_norm: 0.2632 2024-01-03 17:09:36,024 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:52:59, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.4229, decode.loss_grad: 0.0000, loss: 0.4229, grad_norm: 0.1392 2024-01-03 17:09:39,083 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:49:25, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.3977, decode.loss_grad: 0.0000, loss: 0.3977, grad_norm: 0.1549 2024-01-03 17:09:42,130 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:47:14, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.3662, decode.loss_grad: 0.0000, loss: 0.3662, grad_norm: 0.1937 2024-01-03 17:09:45,207 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:45:49, time: 0.062, data_time: 0.002, memory: 811, decode.loss_depth: 0.3371, decode.loss_grad: 0.0000, loss: 0.3371, grad_norm: 0.1855 2024-01-03 17:09:48,250 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:44:44, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.3252, decode.loss_grad: 0.0000, loss: 0.3252, grad_norm: 0.1970 2024-01-03 17:09:51,366 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:44:01, time: 0.062, data_time: 0.002, memory: 811, decode.loss_depth: 0.3083, decode.loss_grad: 0.0000, loss: 0.3083, grad_norm: 0.1845 2024-01-03 17:09:54,413 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:43:22, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2980, decode.loss_grad: 0.0000, loss: 0.2980, grad_norm: 0.1871 2024-01-03 17:09:57,462 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:42:49, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2970, decode.loss_grad: 0.0000, loss: 0.2970, grad_norm: 0.1830 2024-01-03 17:10:00,523 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:42:23, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.3006, decode.loss_grad: 0.0000, loss: 0.3006, grad_norm: 0.1814 2024-01-03 17:10:03,575 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:42:01, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2820, decode.loss_grad: 0.0000, loss: 0.2820, grad_norm: 0.1779 2024-01-03 17:10:06,632 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:41:41, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2862, decode.loss_grad: 0.0000, loss: 0.2862, grad_norm: 0.1799 2024-01-03 17:10:09,687 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:41:24, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2794, decode.loss_grad: 0.0000, loss: 0.2794, grad_norm: 0.1908 2024-01-03 17:10:12,731 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:41:08, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2691, decode.loss_grad: 0.0000, loss: 0.2691, grad_norm: 0.1839 2024-01-03 17:10:15,781 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:40:54, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2771, decode.loss_grad: 0.0000, loss: 0.2771, grad_norm: 0.1747 2024-01-03 17:10:18,859 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:40:43, time: 0.062, data_time: 0.002, memory: 811, decode.loss_depth: 0.2656, decode.loss_grad: 0.0000, loss: 0.2656, grad_norm: 0.1826 2024-01-03 17:10:21,884 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:40:30, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2690, decode.loss_grad: 0.0000, loss: 0.2690, grad_norm: 0.1752 2024-01-03 17:10:25,004 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:40:22, time: 0.062, data_time: 0.002, memory: 811, decode.loss_depth: 0.2687, decode.loss_grad: 0.0000, loss: 0.2687, grad_norm: 0.1758 2024-01-03 17:10:28,033 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:10:28,033 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:40:11, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2588, decode.loss_grad: 0.0000, loss: 0.2588, grad_norm: 0.1754 2024-01-03 17:10:31,044 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:40:00, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2574, decode.loss_grad: 0.0000, loss: 0.2574, grad_norm: 0.1830 2024-01-03 17:10:34,082 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:39:51, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2591, decode.loss_grad: 0.0000, loss: 0.2591, grad_norm: 0.1720 2024-01-03 17:10:37,147 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:39:43, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2550, decode.loss_grad: 0.0000, loss: 0.2550, grad_norm: 0.1759 2024-01-03 17:10:40,186 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:39:35, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2460, decode.loss_grad: 0.0000, loss: 0.2460, grad_norm: 0.1721 2024-01-03 17:10:43,226 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:39:27, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2591, decode.loss_grad: 0.0000, loss: 0.2591, grad_norm: 0.1743 2024-01-03 17:10:46,292 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:39:21, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2520, decode.loss_grad: 0.0000, loss: 0.2520, grad_norm: 0.1760 2024-01-03 17:10:49,314 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:39:13, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2532, decode.loss_grad: 0.0000, loss: 0.2532, grad_norm: 0.1737 2024-01-03 17:10:52,381 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:39:07, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2497, decode.loss_grad: 0.0000, loss: 0.2497, grad_norm: 0.1621 2024-01-03 17:10:55,407 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:39:00, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2450, decode.loss_grad: 0.0000, loss: 0.2450, grad_norm: 0.1720 2024-01-03 17:10:58,450 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:38:54, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.2482, decode.loss_grad: 0.0000, loss: 0.2482, grad_norm: 0.1693 2024-01-03 17:11:03,501 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:39:35, time: 0.101, data_time: 0.044, memory: 811, decode.loss_depth: 0.2428, decode.loss_grad: 0.0000, loss: 0.2428, grad_norm: 0.1732 2024-01-03 17:11:06,484 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:11:06,499 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:39:27, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2436, decode.loss_grad: 0.0000, loss: 0.2436, grad_norm: 0.1600 2024-01-03 17:11:09,461 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:39:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2444, decode.loss_grad: 0.0000, loss: 0.2444, grad_norm: 0.1641 2024-01-03 17:11:12,403 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:39:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2404, decode.loss_grad: 0.0000, loss: 0.2404, grad_norm: 0.1531 2024-01-03 17:11:15,357 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:39:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2438, decode.loss_grad: 0.0000, loss: 0.2438, grad_norm: 0.1550 2024-01-03 17:11:18,301 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:38:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2379, decode.loss_grad: 0.0000, loss: 0.2379, grad_norm: 0.1605 2024-01-03 17:11:21,234 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:38:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2434, decode.loss_grad: 0.0000, loss: 0.2434, grad_norm: 0.1479 2024-01-03 17:11:24,199 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:38:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2392, decode.loss_grad: 0.0000, loss: 0.2392, grad_norm: 0.1526 2024-01-03 17:11:27,145 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:38:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2374, decode.loss_grad: 0.0000, loss: 0.2374, grad_norm: 0.1448 2024-01-03 17:11:30,098 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:11:30,099 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:38:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2358, decode.loss_grad: 0.0000, loss: 0.2358, grad_norm: 0.1435 2024-01-03 17:11:33,050 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:38:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2382, decode.loss_grad: 0.0000, loss: 0.2382, grad_norm: 0.1556 2024-01-03 17:11:36,008 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:38:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2395, decode.loss_grad: 0.0000, loss: 0.2395, grad_norm: 0.1582 2024-01-03 17:11:38,965 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:38:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2376, decode.loss_grad: 0.0000, loss: 0.2376, grad_norm: 0.1465 2024-01-03 17:11:41,940 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:37:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2328, decode.loss_grad: 0.0000, loss: 0.2328, grad_norm: 0.1424 2024-01-03 17:11:44,894 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:37:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2334, decode.loss_grad: 0.0000, loss: 0.2334, grad_norm: 0.1403 2024-01-03 17:11:47,869 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:37:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2360, decode.loss_grad: 0.0000, loss: 0.2360, grad_norm: 0.1380 2024-01-03 17:11:50,822 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:37:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2355, decode.loss_grad: 0.0000, loss: 0.2355, grad_norm: 0.1484 2024-01-03 17:11:53,771 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:37:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2333, decode.loss_grad: 0.0000, loss: 0.2333, grad_norm: 0.1389 2024-01-03 17:11:56,730 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:37:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2335, decode.loss_grad: 0.0000, loss: 0.2335, grad_norm: 0.1389 2024-01-03 17:11:59,694 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:37:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2353, decode.loss_grad: 0.0000, loss: 0.2353, grad_norm: 0.1412 2024-01-03 17:12:02,653 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:37:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2300, decode.loss_grad: 0.0000, loss: 0.2300, grad_norm: 0.1330 2024-01-03 17:12:05,626 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:37:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2277, decode.loss_grad: 0.0000, loss: 0.2277, grad_norm: 0.1366 2024-01-03 17:12:08,559 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:37:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2336, decode.loss_grad: 0.0000, loss: 0.2336, grad_norm: 0.1290 2024-01-03 17:12:11,529 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:37:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2330, decode.loss_grad: 0.0000, loss: 0.2330, grad_norm: 0.1301 2024-01-03 17:12:14,478 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:36:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2299, decode.loss_grad: 0.0000, loss: 0.2299, grad_norm: 0.1299 2024-01-03 17:12:17,453 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:36:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2275, decode.loss_grad: 0.0000, loss: 0.2275, grad_norm: 0.1366 2024-01-03 17:12:20,400 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:36:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2245, decode.loss_grad: 0.0000, loss: 0.2245, grad_norm: 0.1286 2024-01-03 17:12:23,378 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:36:41, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2243, decode.loss_grad: 0.0000, loss: 0.2243, grad_norm: 0.1228 2024-01-03 17:12:26,322 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:36:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2262, decode.loss_grad: 0.0000, loss: 0.2262, grad_norm: 0.1223 2024-01-03 17:12:29,282 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:29,282 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:36:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2265, decode.loss_grad: 0.0000, loss: 0.2265, grad_norm: 0.1264 2024-01-03 17:12:34,326 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:36:50, time: 0.101, data_time: 0.043, memory: 811, decode.loss_depth: 0.2217, decode.loss_grad: 0.0000, loss: 0.2217, grad_norm: 0.1248 2024-01-03 17:12:37,282 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:36:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2303, decode.loss_grad: 0.0000, loss: 0.2303, grad_norm: 0.1189 2024-01-03 17:12:40,245 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:36:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2228, decode.loss_grad: 0.0000, loss: 0.2228, grad_norm: 0.1302 2024-01-03 17:12:43,227 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:12:43,239 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:36:36, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2194, decode.loss_grad: 0.0000, loss: 0.2194, grad_norm: 0.1177 2024-01-03 17:12:58,138 - mmseg - INFO - Summary: 2024-01-03 17:12:58,139 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.6416 | 0.9029 | 0.9756 | 0.2288 | 0.6747 | 0.0892 | 0.256 | 21.101 | 0.2023 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:12:58,150 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:12:58,150 - mmseg - INFO - Best abs_rel is 0.2288 at 3200 iter. 2024-01-03 17:12:58,150 - mmseg - INFO - Iter(val) [82] a1: 0.6416, a2: 0.9029, a3: 0.9756, abs_rel: 0.22884520888328552, rmse: 0.6746970415115356, log_10: 0.08923786878585815, rmse_log: 0.25604456663131714, silog: 21.1010, sq_rel: 0.20232383906841278 2024-01-03 17:13:01,102 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:39:12, time: 0.357, data_time: 0.300, memory: 811, decode.loss_depth: 0.2282, decode.loss_grad: 0.0000, loss: 0.2282, grad_norm: 0.1222 2024-01-03 17:13:04,039 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:39:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2241, decode.loss_grad: 0.0000, loss: 0.2241, grad_norm: 0.1189 2024-01-03 17:13:06,984 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:38:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2263, decode.loss_grad: 0.0000, loss: 0.2263, grad_norm: 0.1162 2024-01-03 17:13:09,948 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:38:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2243, decode.loss_grad: 0.0000, loss: 0.2243, grad_norm: 0.1203 2024-01-03 17:13:12,901 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:38:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2273, decode.loss_grad: 0.0000, loss: 0.2273, grad_norm: 0.1145 2024-01-03 17:13:15,868 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:38:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2268, decode.loss_grad: 0.0000, loss: 0.2268, grad_norm: 0.1199 2024-01-03 17:13:18,824 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:38:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2212, decode.loss_grad: 0.0000, loss: 0.2212, grad_norm: 0.1138 2024-01-03 17:13:21,769 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:38:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2237, decode.loss_grad: 0.0000, loss: 0.2237, grad_norm: 0.1114 2024-01-03 17:13:24,723 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:38:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2218, decode.loss_grad: 0.0000, loss: 0.2218, grad_norm: 0.1174 2024-01-03 17:13:27,661 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:38:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2257, decode.loss_grad: 0.0000, loss: 0.2257, grad_norm: 0.1183 2024-01-03 17:13:30,618 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:38:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2183, decode.loss_grad: 0.0000, loss: 0.2183, grad_norm: 0.1117 2024-01-03 17:13:33,569 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:37:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2248, decode.loss_grad: 0.0000, loss: 0.2248, grad_norm: 0.1216 2024-01-03 17:13:36,501 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:37:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2227, decode.loss_grad: 0.0000, loss: 0.2227, grad_norm: 0.1140 2024-01-03 17:13:39,455 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:37:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2222, decode.loss_grad: 0.0000, loss: 0.2222, grad_norm: 0.1094 2024-01-03 17:13:42,399 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:37:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2199, decode.loss_grad: 0.0000, loss: 0.2199, grad_norm: 0.1072 2024-01-03 17:13:45,326 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:13:45,326 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:37:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2163, decode.loss_grad: 0.0000, loss: 0.2163, grad_norm: 0.1033 2024-01-03 17:13:48,276 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:37:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2167, decode.loss_grad: 0.0000, loss: 0.2167, grad_norm: 0.1081 2024-01-03 17:13:51,238 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:37:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2180, decode.loss_grad: 0.0000, loss: 0.2180, grad_norm: 0.1105 2024-01-03 17:13:54,216 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:37:13, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2210, decode.loss_grad: 0.0000, loss: 0.2210, grad_norm: 0.1045 2024-01-03 17:13:57,161 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:37:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2188, decode.loss_grad: 0.0000, loss: 0.2188, grad_norm: 0.0969 2024-01-03 17:14:00,125 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:37:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2149, decode.loss_grad: 0.0000, loss: 0.2149, grad_norm: 0.1031 2024-01-03 17:14:03,085 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:36:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2152, decode.loss_grad: 0.0000, loss: 0.2152, grad_norm: 0.1042 2024-01-03 17:14:06,036 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:36:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2137, decode.loss_grad: 0.0000, loss: 0.2137, grad_norm: 0.1012 2024-01-03 17:14:08,980 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:36:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2201, decode.loss_grad: 0.0000, loss: 0.2201, grad_norm: 0.1030 2024-01-03 17:14:11,935 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:36:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2244, decode.loss_grad: 0.0000, loss: 0.2244, grad_norm: 0.1048 2024-01-03 17:14:14,892 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:36:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2180, decode.loss_grad: 0.0000, loss: 0.2180, grad_norm: 0.0992 2024-01-03 17:14:19,915 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:36:44, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.2122, decode.loss_grad: 0.0000, loss: 0.2122, grad_norm: 0.0979 2024-01-03 17:14:22,863 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:36:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2164, decode.loss_grad: 0.0000, loss: 0.2164, grad_norm: 0.0983 2024-01-03 17:14:25,815 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:36:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2192, decode.loss_grad: 0.0000, loss: 0.2192, grad_norm: 0.0992 2024-01-03 17:14:28,779 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:36:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2169, decode.loss_grad: 0.0000, loss: 0.2169, grad_norm: 0.0995 2024-01-03 17:14:31,747 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:36:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.0971 2024-01-03 17:14:34,715 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:14:34,727 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:36:18, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2157, decode.loss_grad: 0.0000, loss: 0.2157, grad_norm: 0.0980 2024-01-03 17:14:37,675 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:36:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2156, decode.loss_grad: 0.0000, loss: 0.2156, grad_norm: 0.0971 2024-01-03 17:14:40,616 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:36:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2157, decode.loss_grad: 0.0000, loss: 0.2157, grad_norm: 0.0986 2024-01-03 17:14:43,573 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:36:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2126, decode.loss_grad: 0.0000, loss: 0.2126, grad_norm: 0.0920 2024-01-03 17:14:46,509 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:46,509 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:35:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2160, decode.loss_grad: 0.0000, loss: 0.2160, grad_norm: 0.0959 2024-01-03 17:14:49,464 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:35:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2050, decode.loss_grad: 0.0000, loss: 0.2050, grad_norm: 0.0922 2024-01-03 17:14:52,413 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:35:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2125, decode.loss_grad: 0.0000, loss: 0.2125, grad_norm: 0.0902 2024-01-03 17:14:55,365 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:35:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2129, decode.loss_grad: 0.0000, loss: 0.2129, grad_norm: 0.0939 2024-01-03 17:14:58,317 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:35:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2170, decode.loss_grad: 0.0000, loss: 0.2170, grad_norm: 0.0930 2024-01-03 17:15:01,278 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:35:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2171, decode.loss_grad: 0.0000, loss: 0.2171, grad_norm: 0.0893 2024-01-03 17:15:04,230 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:35:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2170, decode.loss_grad: 0.0000, loss: 0.2170, grad_norm: 0.0912 2024-01-03 17:15:07,198 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:35:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.0868 2024-01-03 17:15:10,151 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:35:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2147, decode.loss_grad: 0.0000, loss: 0.2147, grad_norm: 0.0870 2024-01-03 17:15:13,095 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:35:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2070, decode.loss_grad: 0.0000, loss: 0.2070, grad_norm: 0.0859 2024-01-03 17:15:16,042 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:35:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2116, decode.loss_grad: 0.0000, loss: 0.2116, grad_norm: 0.0872 2024-01-03 17:15:18,977 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:35:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0883 2024-01-03 17:15:21,931 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:34:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2139, decode.loss_grad: 0.0000, loss: 0.2139, grad_norm: 0.0838 2024-01-03 17:15:24,891 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:34:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2112, decode.loss_grad: 0.0000, loss: 0.2112, grad_norm: 0.0873 2024-01-03 17:15:27,829 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:34:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2052, decode.loss_grad: 0.0000, loss: 0.2052, grad_norm: 0.0814 2024-01-03 17:15:30,793 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:34:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2137, decode.loss_grad: 0.0000, loss: 0.2137, grad_norm: 0.0826 2024-01-03 17:15:33,747 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:34:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2159, decode.loss_grad: 0.0000, loss: 0.2159, grad_norm: 0.0911 2024-01-03 17:15:36,676 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:34:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2143, decode.loss_grad: 0.0000, loss: 0.2143, grad_norm: 0.0910 2024-01-03 17:15:39,626 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:34:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2107, decode.loss_grad: 0.0000, loss: 0.2107, grad_norm: 0.0842 2024-01-03 17:15:42,589 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:34:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2095, decode.loss_grad: 0.0000, loss: 0.2095, grad_norm: 0.0865 2024-01-03 17:15:45,590 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:45,591 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:34:22, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2129, decode.loss_grad: 0.0000, loss: 0.2129, grad_norm: 0.0859 2024-01-03 17:15:48,531 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:34:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2110, decode.loss_grad: 0.0000, loss: 0.2110, grad_norm: 0.0812 2024-01-03 17:15:53,573 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:34:25, time: 0.101, data_time: 0.043, memory: 811, decode.loss_depth: 0.2059, decode.loss_grad: 0.0000, loss: 0.2059, grad_norm: 0.0808 2024-01-03 17:15:56,520 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:34:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2093, decode.loss_grad: 0.0000, loss: 0.2093, grad_norm: 0.0822 2024-01-03 17:15:59,499 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:34:16, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0772 2024-01-03 17:16:02,464 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:34:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2098, decode.loss_grad: 0.0000, loss: 0.2098, grad_norm: 0.0804 2024-01-03 17:16:05,408 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:34:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2063, decode.loss_grad: 0.0000, loss: 0.2063, grad_norm: 0.0813 2024-01-03 17:16:08,366 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:34:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2077, decode.loss_grad: 0.0000, loss: 0.2077, grad_norm: 0.0798 2024-01-03 17:16:11,340 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:16:11,356 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:33:58, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2069, decode.loss_grad: 0.0000, loss: 0.2069, grad_norm: 0.0776 2024-01-03 17:16:17,061 - mmseg - INFO - Summary: 2024-01-03 17:16:17,061 - mmseg - INFO - +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.642 | 0.9058 | 0.9759 | 0.2333 | 0.6799 | 0.0892 | 0.255 | 20.4311 | 0.212 | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:16:17,061 - mmseg - INFO - Iter(val) [82] a1: 0.6420, a2: 0.9058, a3: 0.9759, abs_rel: 0.23328159749507904, rmse: 0.6799379587173462, log_10: 0.08916576206684113, rmse_log: 0.25496968626976013, silog: 20.4311, sq_rel: 0.21196313202381134 2024-01-03 17:16:19,992 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:34:22, time: 0.173, data_time: 0.116, memory: 811, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0791 2024-01-03 17:16:22,972 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:34:18, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2072, decode.loss_grad: 0.0000, loss: 0.2072, grad_norm: 0.0796 2024-01-03 17:16:25,940 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:34:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2062, decode.loss_grad: 0.0000, loss: 0.2062, grad_norm: 0.0740 2024-01-03 17:16:28,879 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:34:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2076, decode.loss_grad: 0.0000, loss: 0.2076, grad_norm: 0.0836 2024-01-03 17:16:31,866 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:34:04, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2105, decode.loss_grad: 0.0000, loss: 0.2105, grad_norm: 0.0825 2024-01-03 17:16:34,838 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:34:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2100, decode.loss_grad: 0.0000, loss: 0.2100, grad_norm: 0.0785 2024-01-03 17:16:37,785 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:33:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0719 2024-01-03 17:16:40,723 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:33:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0735 2024-01-03 17:16:43,667 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:33:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2077, decode.loss_grad: 0.0000, loss: 0.2077, grad_norm: 0.0779 2024-01-03 17:16:46,615 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:33:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2087, decode.loss_grad: 0.0000, loss: 0.2087, grad_norm: 0.0789 2024-01-03 17:16:49,545 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:33:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2076, decode.loss_grad: 0.0000, loss: 0.2076, grad_norm: 0.0753 2024-01-03 17:16:52,491 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:52,492 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:33:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2072, decode.loss_grad: 0.0000, loss: 0.2072, grad_norm: 0.0752 2024-01-03 17:16:55,493 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:33:29, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.2130, decode.loss_grad: 0.0000, loss: 0.2130, grad_norm: 0.0740 2024-01-03 17:16:58,433 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:33:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2085, decode.loss_grad: 0.0000, loss: 0.2085, grad_norm: 0.0768 2024-01-03 17:17:01,381 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:33:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2065, decode.loss_grad: 0.0000, loss: 0.2065, grad_norm: 0.0745 2024-01-03 17:17:04,332 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:33:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0723 2024-01-03 17:17:07,283 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:33:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2143, decode.loss_grad: 0.0000, loss: 0.2143, grad_norm: 0.0749 2024-01-03 17:17:10,229 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:33:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2059, decode.loss_grad: 0.0000, loss: 0.2059, grad_norm: 0.0686 2024-01-03 17:17:13,170 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:33:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0693 2024-01-03 17:17:16,134 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:32:59, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2028, decode.loss_grad: 0.0000, loss: 0.2028, grad_norm: 0.0699 2024-01-03 17:17:19,060 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:32:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2080, decode.loss_grad: 0.0000, loss: 0.2080, grad_norm: 0.0737 2024-01-03 17:17:22,014 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:32:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2030, decode.loss_grad: 0.0000, loss: 0.2030, grad_norm: 0.0698 2024-01-03 17:17:24,964 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:32:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2043, decode.loss_grad: 0.0000, loss: 0.2043, grad_norm: 0.0692 2024-01-03 17:17:29,967 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:32:51, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.2022, decode.loss_grad: 0.0000, loss: 0.2022, grad_norm: 0.0713 2024-01-03 17:17:32,917 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:32:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1954, decode.loss_grad: 0.0000, loss: 0.1954, grad_norm: 0.0660 2024-01-03 17:17:35,862 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:32:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2065, decode.loss_grad: 0.0000, loss: 0.2065, grad_norm: 0.0699 2024-01-03 17:17:38,816 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:32:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2026, decode.loss_grad: 0.0000, loss: 0.2026, grad_norm: 0.0715 2024-01-03 17:17:41,749 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:32:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0683 2024-01-03 17:17:44,692 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:32:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0715 2024-01-03 17:17:47,654 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:32:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2042, decode.loss_grad: 0.0000, loss: 0.2042, grad_norm: 0.0669 2024-01-03 17:17:50,599 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:32:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2061, decode.loss_grad: 0.0000, loss: 0.2061, grad_norm: 0.0669 2024-01-03 17:17:53,516 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:17:53,528 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:53,528 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:32:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2051, decode.loss_grad: 0.0000, loss: 0.2051, grad_norm: 0.0688 2024-01-03 17:17:56,458 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:32:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1997, decode.loss_grad: 0.0000, loss: 0.1997, grad_norm: 0.0655 2024-01-03 17:17:59,391 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:32:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2019, decode.loss_grad: 0.0000, loss: 0.2019, grad_norm: 0.0673 2024-01-03 17:18:02,336 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:32:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1999, decode.loss_grad: 0.0000, loss: 0.1999, grad_norm: 0.0647 2024-01-03 17:18:05,273 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:32:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2086, decode.loss_grad: 0.0000, loss: 0.2086, grad_norm: 0.0694 2024-01-03 17:18:08,237 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:31:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0658 2024-01-03 17:18:11,197 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:31:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2075, decode.loss_grad: 0.0000, loss: 0.2075, grad_norm: 0.0657 2024-01-03 17:18:14,162 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:31:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0652 2024-01-03 17:18:17,111 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:31:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2045, decode.loss_grad: 0.0000, loss: 0.2045, grad_norm: 0.0654 2024-01-03 17:18:20,073 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:31:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1991, decode.loss_grad: 0.0000, loss: 0.1991, grad_norm: 0.0595 2024-01-03 17:18:23,035 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:31:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2081, decode.loss_grad: 0.0000, loss: 0.2081, grad_norm: 0.0662 2024-01-03 17:18:25,982 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:31:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2080, decode.loss_grad: 0.0000, loss: 0.2080, grad_norm: 0.0702 2024-01-03 17:18:28,946 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:31:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0628 2024-01-03 17:18:31,891 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:31:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2057, decode.loss_grad: 0.0000, loss: 0.2057, grad_norm: 0.0665 2024-01-03 17:18:34,858 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:31:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0612 2024-01-03 17:18:37,786 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:31:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0643 2024-01-03 17:18:40,760 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:31:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2002, decode.loss_grad: 0.0000, loss: 0.2002, grad_norm: 0.0628 2024-01-03 17:18:43,705 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:31:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1968, decode.loss_grad: 0.0000, loss: 0.1968, grad_norm: 0.0636 2024-01-03 17:18:46,663 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:31:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1971, decode.loss_grad: 0.0000, loss: 0.1971, grad_norm: 0.0620 2024-01-03 17:18:49,646 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:31:02, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1971, decode.loss_grad: 0.0000, loss: 0.1971, grad_norm: 0.0621 2024-01-03 17:18:52,584 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:18:52,584 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:30:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0589 2024-01-03 17:18:55,542 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:30:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1980, decode.loss_grad: 0.0000, loss: 0.1980, grad_norm: 0.0607 2024-01-03 17:19:00,583 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:30:57, time: 0.101, data_time: 0.044, memory: 811, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0619 2024-01-03 17:19:03,557 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:30:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2016, decode.loss_grad: 0.0000, loss: 0.2016, grad_norm: 0.0619 2024-01-03 17:19:06,501 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:30:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1989, decode.loss_grad: 0.0000, loss: 0.1989, grad_norm: 0.0653 2024-01-03 17:19:09,445 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:30:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1967, decode.loss_grad: 0.0000, loss: 0.1967, grad_norm: 0.0597 2024-01-03 17:19:12,391 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:30:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1997, decode.loss_grad: 0.0000, loss: 0.1997, grad_norm: 0.0605 2024-01-03 17:19:15,339 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:30:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1947, decode.loss_grad: 0.0000, loss: 0.1947, grad_norm: 0.0594 2024-01-03 17:19:18,280 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:30:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2009, decode.loss_grad: 0.0000, loss: 0.2009, grad_norm: 0.0602 2024-01-03 17:19:21,220 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:30:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1979, decode.loss_grad: 0.0000, loss: 0.1979, grad_norm: 0.0597 2024-01-03 17:19:24,155 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:30:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0532 2024-01-03 17:19:27,089 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:30:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1944, decode.loss_grad: 0.0000, loss: 0.1944, grad_norm: 0.0582 2024-01-03 17:19:30,019 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:19:30,034 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:30:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2002, decode.loss_grad: 0.0000, loss: 0.2002, grad_norm: 0.0584 2024-01-03 17:19:35,768 - mmseg - INFO - Summary: 2024-01-03 17:19:35,768 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6746 | 0.9208 | 0.9819 | 0.2081 | 0.6423 | 0.0831 | 0.2395 | 20.1684 | 0.1773 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:19:35,769 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:19:35,778 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 17:19:35,778 - mmseg - INFO - Best abs_rel is 0.2081 at 9600 iter. 2024-01-03 17:19:35,779 - mmseg - INFO - Iter(val) [82] a1: 0.6746, a2: 0.9208, a3: 0.9819, abs_rel: 0.2080528438091278, rmse: 0.6423228979110718, log_10: 0.08312013000249863, rmse_log: 0.23949439823627472, silog: 20.1684, sq_rel: 0.17731982469558716 2024-01-03 17:19:38,707 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:30:32, time: 0.173, data_time: 0.117, memory: 811, decode.loss_depth: 0.1998, decode.loss_grad: 0.0000, loss: 0.1998, grad_norm: 0.0581 2024-01-03 17:19:41,671 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:30:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2040, decode.loss_grad: 0.0000, loss: 0.2040, grad_norm: 0.0601 2024-01-03 17:19:44,606 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:30:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1993, decode.loss_grad: 0.0000, loss: 0.1993, grad_norm: 0.0583 2024-01-03 17:19:47,551 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:30:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1995, decode.loss_grad: 0.0000, loss: 0.1995, grad_norm: 0.0591 2024-01-03 17:19:50,497 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:30:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0584 2024-01-03 17:19:53,455 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:30:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0561 2024-01-03 17:19:56,409 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:30:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2006, decode.loss_grad: 0.0000, loss: 0.2006, grad_norm: 0.0548 2024-01-03 17:19:59,353 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:59,353 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:30:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1967, decode.loss_grad: 0.0000, loss: 0.1967, grad_norm: 0.0551 2024-01-03 17:20:02,308 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:30:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2052, decode.loss_grad: 0.0000, loss: 0.2052, grad_norm: 0.0612 2024-01-03 17:20:05,276 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:29:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0564 2024-01-03 17:20:08,206 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:29:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1968, decode.loss_grad: 0.0000, loss: 0.1968, grad_norm: 0.0596 2024-01-03 17:20:11,174 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:29:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1968, decode.loss_grad: 0.0000, loss: 0.1968, grad_norm: 0.0553 2024-01-03 17:20:14,108 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:29:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1974, decode.loss_grad: 0.0000, loss: 0.1974, grad_norm: 0.0569 2024-01-03 17:20:17,049 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:29:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1979, decode.loss_grad: 0.0000, loss: 0.1979, grad_norm: 0.0574 2024-01-03 17:20:19,980 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:29:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0525 2024-01-03 17:20:22,922 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:29:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1936, decode.loss_grad: 0.0000, loss: 0.1936, grad_norm: 0.0566 2024-01-03 17:20:25,874 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:29:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1979, decode.loss_grad: 0.0000, loss: 0.1979, grad_norm: 0.0561 2024-01-03 17:20:28,798 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:29:27, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0565 2024-01-03 17:20:31,743 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:29:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1974, decode.loss_grad: 0.0000, loss: 0.1974, grad_norm: 0.0550 2024-01-03 17:20:36,755 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:29:25, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0569 2024-01-03 17:20:39,716 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:29:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1978, decode.loss_grad: 0.0000, loss: 0.1978, grad_norm: 0.0539 2024-01-03 17:20:42,682 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:29:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0560 2024-01-03 17:20:45,639 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:29:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1955, decode.loss_grad: 0.0000, loss: 0.1955, grad_norm: 0.0532 2024-01-03 17:20:48,584 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:29:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1981, decode.loss_grad: 0.0000, loss: 0.1981, grad_norm: 0.0600 2024-01-03 17:20:51,547 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:29:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.0539 2024-01-03 17:20:54,482 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:29:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1950, decode.loss_grad: 0.0000, loss: 0.1950, grad_norm: 0.0522 2024-01-03 17:20:57,447 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:28:59, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1975, decode.loss_grad: 0.0000, loss: 0.1975, grad_norm: 0.0520 2024-01-03 17:21:00,398 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:00,398 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:28:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1892, decode.loss_grad: 0.0000, loss: 0.1892, grad_norm: 0.0518 2024-01-03 17:21:03,326 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:28:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0548 2024-01-03 17:21:06,272 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:28:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.0540 2024-01-03 17:21:09,224 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:28:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1915, decode.loss_grad: 0.0000, loss: 0.1915, grad_norm: 0.0548 2024-01-03 17:21:12,179 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:21:12,192 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:28:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1958, decode.loss_grad: 0.0000, loss: 0.1958, grad_norm: 0.0505 2024-01-03 17:21:15,132 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:28:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.0508 2024-01-03 17:21:18,087 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:28:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1996, decode.loss_grad: 0.0000, loss: 0.1996, grad_norm: 0.0522 2024-01-03 17:21:21,053 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:28:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.0536 2024-01-03 17:21:24,004 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:28:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1927, decode.loss_grad: 0.0000, loss: 0.1927, grad_norm: 0.0521 2024-01-03 17:21:26,945 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:28:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0516 2024-01-03 17:21:29,897 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:28:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.2024, decode.loss_grad: 0.0000, loss: 0.2024, grad_norm: 0.0555 2024-01-03 17:21:32,854 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:28:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1932, decode.loss_grad: 0.0000, loss: 0.1932, grad_norm: 0.0512 2024-01-03 17:21:35,817 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:28:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1963, decode.loss_grad: 0.0000, loss: 0.1963, grad_norm: 0.0524 2024-01-03 17:21:38,776 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:28:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1932, decode.loss_grad: 0.0000, loss: 0.1932, grad_norm: 0.0499 2024-01-03 17:21:41,728 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:28:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1948, decode.loss_grad: 0.0000, loss: 0.1948, grad_norm: 0.0519 2024-01-03 17:21:44,764 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:28:01, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.1976, decode.loss_grad: 0.0000, loss: 0.1976, grad_norm: 0.0511 2024-01-03 17:21:47,696 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:27:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.0530 2024-01-03 17:21:50,619 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:27:53, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.0559 2024-01-03 17:21:53,576 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:27:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1983, decode.loss_grad: 0.0000, loss: 0.1983, grad_norm: 0.0510 2024-01-03 17:21:56,519 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:27:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1939, decode.loss_grad: 0.0000, loss: 0.1939, grad_norm: 0.0504 2024-01-03 17:21:59,466 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:59,466 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:27:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1930, decode.loss_grad: 0.0000, loss: 0.1930, grad_norm: 0.0467 2024-01-03 17:22:02,442 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:27:39, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1973, decode.loss_grad: 0.0000, loss: 0.1973, grad_norm: 0.0498 2024-01-03 17:22:05,400 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:27:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1998, decode.loss_grad: 0.0000, loss: 0.1998, grad_norm: 0.0511 2024-01-03 17:22:10,433 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:27:36, time: 0.101, data_time: 0.043, memory: 811, decode.loss_depth: 0.1910, decode.loss_grad: 0.0000, loss: 0.1910, grad_norm: 0.0519 2024-01-03 17:22:13,366 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:27:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.0515 2024-01-03 17:22:16,305 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:27:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.0498 2024-01-03 17:22:19,241 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:27:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1950, decode.loss_grad: 0.0000, loss: 0.1950, grad_norm: 0.0484 2024-01-03 17:22:22,185 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:27:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0482 2024-01-03 17:22:25,107 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:27:18, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1970, decode.loss_grad: 0.0000, loss: 0.1970, grad_norm: 0.0516 2024-01-03 17:22:28,042 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:27:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1954, decode.loss_grad: 0.0000, loss: 0.1954, grad_norm: 0.0494 2024-01-03 17:22:30,987 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:27:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1912, decode.loss_grad: 0.0000, loss: 0.1912, grad_norm: 0.0440 2024-01-03 17:22:33,937 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:27:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.0491 2024-01-03 17:22:36,869 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:27:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1948, decode.loss_grad: 0.0000, loss: 0.1948, grad_norm: 0.0487 2024-01-03 17:22:39,817 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:27:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1960, decode.loss_grad: 0.0000, loss: 0.1960, grad_norm: 0.0493 2024-01-03 17:22:42,773 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:26:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1955, decode.loss_grad: 0.0000, loss: 0.1955, grad_norm: 0.0462 2024-01-03 17:22:45,732 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:26:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1928, decode.loss_grad: 0.0000, loss: 0.1928, grad_norm: 0.0507 2024-01-03 17:22:48,667 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:22:48,680 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:26:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1927, decode.loss_grad: 0.0000, loss: 0.1927, grad_norm: 0.0480 2024-01-03 17:22:54,452 - mmseg - INFO - Summary: 2024-01-03 17:22:54,452 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6817 | 0.9255 | 0.9834 | 0.1966 | 0.6352 | 0.0814 | 0.2351 | 20.3016 | 0.1592 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:22:54,454 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_9600.pth was removed 2024-01-03 17:22:54,464 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:22:54,464 - mmseg - INFO - Best abs_rel is 0.1966 at 12800 iter. 2024-01-03 17:22:54,464 - mmseg - INFO - Iter(val) [82] a1: 0.6817, a2: 0.9255, a3: 0.9834, abs_rel: 0.1966085582971573, rmse: 0.6351809501647949, log_10: 0.0814397931098938, rmse_log: 0.23511287569999695, silog: 20.3016, sq_rel: 0.15920287370681763 2024-01-03 17:22:57,401 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:26:58, time: 0.174, data_time: 0.118, memory: 811, decode.loss_depth: 0.1949, decode.loss_grad: 0.0000, loss: 0.1949, grad_norm: 0.0496 2024-01-03 17:23:00,347 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:26:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1942, decode.loss_grad: 0.0000, loss: 0.1942, grad_norm: 0.0488 2024-01-03 17:23:03,301 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:26:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1892, decode.loss_grad: 0.0000, loss: 0.1892, grad_norm: 0.0474 2024-01-03 17:23:06,237 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:06,238 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:26:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1909, decode.loss_grad: 0.0000, loss: 0.1909, grad_norm: 0.0460 2024-01-03 17:23:09,185 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:26:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1899, decode.loss_grad: 0.0000, loss: 0.1899, grad_norm: 0.0485 2024-01-03 17:23:12,146 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:26:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1909, decode.loss_grad: 0.0000, loss: 0.1909, grad_norm: 0.0462 2024-01-03 17:23:15,077 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:26:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1916, decode.loss_grad: 0.0000, loss: 0.1916, grad_norm: 0.0449 2024-01-03 17:23:18,026 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:26:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1942, decode.loss_grad: 0.0000, loss: 0.1942, grad_norm: 0.0468 2024-01-03 17:23:20,952 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:26:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1947, decode.loss_grad: 0.0000, loss: 0.1947, grad_norm: 0.0486 2024-01-03 17:23:23,876 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:26:25, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1929, decode.loss_grad: 0.0000, loss: 0.1929, grad_norm: 0.0473 2024-01-03 17:23:26,844 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:26:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1969, decode.loss_grad: 0.0000, loss: 0.1969, grad_norm: 0.0499 2024-01-03 17:23:29,803 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:26:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1920, decode.loss_grad: 0.0000, loss: 0.1920, grad_norm: 0.0474 2024-01-03 17:23:32,742 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:26:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1895, decode.loss_grad: 0.0000, loss: 0.1895, grad_norm: 0.0453 2024-01-03 17:23:35,675 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:26:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1891, decode.loss_grad: 0.0000, loss: 0.1891, grad_norm: 0.0453 2024-01-03 17:23:38,622 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:26:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1899, decode.loss_grad: 0.0000, loss: 0.1899, grad_norm: 0.0436 2024-01-03 17:23:41,584 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:26:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1926, decode.loss_grad: 0.0000, loss: 0.1926, grad_norm: 0.0468 2024-01-03 17:23:46,596 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:26:04, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1886, decode.loss_grad: 0.0000, loss: 0.1886, grad_norm: 0.0457 2024-01-03 17:23:49,536 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:26:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.0425 2024-01-03 17:23:52,479 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:25:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1884, decode.loss_grad: 0.0000, loss: 0.1884, grad_norm: 0.0443 2024-01-03 17:23:55,449 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:25:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1881, decode.loss_grad: 0.0000, loss: 0.1881, grad_norm: 0.0438 2024-01-03 17:23:58,394 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:25:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1887, decode.loss_grad: 0.0000, loss: 0.1887, grad_norm: 0.0461 2024-01-03 17:24:01,332 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:25:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1929, decode.loss_grad: 0.0000, loss: 0.1929, grad_norm: 0.0465 2024-01-03 17:24:04,268 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:25:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0469 2024-01-03 17:24:07,215 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:07,215 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:25:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1909, decode.loss_grad: 0.0000, loss: 0.1909, grad_norm: 0.0471 2024-01-03 17:24:10,150 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:25:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.0448 2024-01-03 17:24:13,098 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:25:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1897, decode.loss_grad: 0.0000, loss: 0.1897, grad_norm: 0.0482 2024-01-03 17:24:16,040 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:25:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1891, decode.loss_grad: 0.0000, loss: 0.1891, grad_norm: 0.0445 2024-01-03 17:24:19,011 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:25:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1866, decode.loss_grad: 0.0000, loss: 0.1866, grad_norm: 0.0462 2024-01-03 17:24:21,954 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:25:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.0425 2024-01-03 17:24:24,886 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:25:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1862, decode.loss_grad: 0.0000, loss: 0.1862, grad_norm: 0.0434 2024-01-03 17:24:27,815 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:25:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1849, decode.loss_grad: 0.0000, loss: 0.1849, grad_norm: 0.0444 2024-01-03 17:24:30,751 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:24:30,763 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:25:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1903, decode.loss_grad: 0.0000, loss: 0.1903, grad_norm: 0.0470 2024-01-03 17:24:33,697 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:25:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1925, decode.loss_grad: 0.0000, loss: 0.1925, grad_norm: 0.0452 2024-01-03 17:24:36,647 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:25:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1869, decode.loss_grad: 0.0000, loss: 0.1869, grad_norm: 0.0425 2024-01-03 17:24:39,596 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:25:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1901, decode.loss_grad: 0.0000, loss: 0.1901, grad_norm: 0.0460 2024-01-03 17:24:42,539 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:24:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1913, decode.loss_grad: 0.0000, loss: 0.1913, grad_norm: 0.0464 2024-01-03 17:24:45,475 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:24:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1865, decode.loss_grad: 0.0000, loss: 0.1865, grad_norm: 0.0438 2024-01-03 17:24:48,430 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:24:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.0449 2024-01-03 17:24:51,377 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:24:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1919, decode.loss_grad: 0.0000, loss: 0.1919, grad_norm: 0.0431 2024-01-03 17:24:54,326 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:24:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1881, decode.loss_grad: 0.0000, loss: 0.1881, grad_norm: 0.0436 2024-01-03 17:24:57,293 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:24:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1867, decode.loss_grad: 0.0000, loss: 0.1867, grad_norm: 0.0452 2024-01-03 17:25:00,262 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:24:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1890, decode.loss_grad: 0.0000, loss: 0.1890, grad_norm: 0.0451 2024-01-03 17:25:03,221 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:24:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1878, decode.loss_grad: 0.0000, loss: 0.1878, grad_norm: 0.0439 2024-01-03 17:25:06,182 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:06,182 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:24:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1825, decode.loss_grad: 0.0000, loss: 0.1825, grad_norm: 0.0411 2024-01-03 17:25:09,151 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:24:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1879, decode.loss_grad: 0.0000, loss: 0.1879, grad_norm: 0.0450 2024-01-03 17:25:12,130 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:24:23, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1863, decode.loss_grad: 0.0000, loss: 0.1863, grad_norm: 0.0423 2024-01-03 17:25:17,141 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:24:23, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1874, decode.loss_grad: 0.0000, loss: 0.1874, grad_norm: 0.0446 2024-01-03 17:25:20,080 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:24:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1910, decode.loss_grad: 0.0000, loss: 0.1910, grad_norm: 0.0419 2024-01-03 17:25:23,039 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:24:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1839, decode.loss_grad: 0.0000, loss: 0.1839, grad_norm: 0.0416 2024-01-03 17:25:26,003 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:24:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0428 2024-01-03 17:25:28,961 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:24:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1898, decode.loss_grad: 0.0000, loss: 0.1898, grad_norm: 0.0466 2024-01-03 17:25:31,898 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:24:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1860, decode.loss_grad: 0.0000, loss: 0.1860, grad_norm: 0.0419 2024-01-03 17:25:34,838 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:24:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1881, decode.loss_grad: 0.0000, loss: 0.1881, grad_norm: 0.0463 2024-01-03 17:25:37,786 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:23:59, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.0408 2024-01-03 17:25:40,765 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:23:55, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1873, decode.loss_grad: 0.0000, loss: 0.1873, grad_norm: 0.0459 2024-01-03 17:25:43,708 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:23:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1870, decode.loss_grad: 0.0000, loss: 0.1870, grad_norm: 0.0435 2024-01-03 17:25:46,670 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:23:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1854, decode.loss_grad: 0.0000, loss: 0.1854, grad_norm: 0.0416 2024-01-03 17:25:49,623 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:23:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1854, decode.loss_grad: 0.0000, loss: 0.1854, grad_norm: 0.0438 2024-01-03 17:25:52,577 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:23:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1871, decode.loss_grad: 0.0000, loss: 0.1871, grad_norm: 0.0437 2024-01-03 17:25:55,523 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:23:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.0430 2024-01-03 17:25:58,472 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:23:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.0456 2024-01-03 17:26:01,427 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:23:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1880, decode.loss_grad: 0.0000, loss: 0.1880, grad_norm: 0.0442 2024-01-03 17:26:04,388 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:23:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1842, decode.loss_grad: 0.0000, loss: 0.1842, grad_norm: 0.0440 2024-01-03 17:26:07,337 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:26:07,349 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:07,349 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:23:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1904, decode.loss_grad: 0.0000, loss: 0.1904, grad_norm: 0.0443 2024-01-03 17:26:13,065 - mmseg - INFO - Summary: 2024-01-03 17:26:13,066 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.6778 | 0.9242 | 0.984 | 0.199 | 0.6432 | 0.0822 | 0.2369 | 20.1997 | 0.1657 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:26:13,066 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:13,066 - mmseg - INFO - Iter(val) [82] a1: 0.6778, a2: 0.9242, a3: 0.9840, abs_rel: 0.199018657207489, rmse: 0.643191933631897, log_10: 0.08221635967493057, rmse_log: 0.23692597448825836, silog: 20.1997, sq_rel: 0.16572535037994385 2024-01-03 17:26:16,025 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:23:29, time: 0.174, data_time: 0.116, memory: 811, decode.loss_depth: 0.1860, decode.loss_grad: 0.0000, loss: 0.1860, grad_norm: 0.0423 2024-01-03 17:26:18,953 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:23:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1819, decode.loss_grad: 0.0000, loss: 0.1819, grad_norm: 0.0409 2024-01-03 17:26:21,904 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:23:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1882, decode.loss_grad: 0.0000, loss: 0.1882, grad_norm: 0.0458 2024-01-03 17:26:24,849 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:23:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1851, decode.loss_grad: 0.0000, loss: 0.1851, grad_norm: 0.0446 2024-01-03 17:26:27,788 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:23:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1831, decode.loss_grad: 0.0000, loss: 0.1831, grad_norm: 0.0383 2024-01-03 17:26:30,753 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:23:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1843, decode.loss_grad: 0.0000, loss: 0.1843, grad_norm: 0.0438 2024-01-03 17:26:33,715 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:23:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1853, decode.loss_grad: 0.0000, loss: 0.1853, grad_norm: 0.0419 2024-01-03 17:26:36,670 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:23:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1846, decode.loss_grad: 0.0000, loss: 0.1846, grad_norm: 0.0416 2024-01-03 17:26:39,611 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:23:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1839, decode.loss_grad: 0.0000, loss: 0.1839, grad_norm: 0.0433 2024-01-03 17:26:42,552 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:22:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1902, decode.loss_grad: 0.0000, loss: 0.1902, grad_norm: 0.0433 2024-01-03 17:26:45,515 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:22:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0417 2024-01-03 17:26:48,467 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:22:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1817, decode.loss_grad: 0.0000, loss: 0.1817, grad_norm: 0.0390 2024-01-03 17:26:51,416 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:22:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1849, decode.loss_grad: 0.0000, loss: 0.1849, grad_norm: 0.0431 2024-01-03 17:26:56,436 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:22:48, time: 0.100, data_time: 0.044, memory: 811, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.0406 2024-01-03 17:26:59,364 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:22:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1834, decode.loss_grad: 0.0000, loss: 0.1834, grad_norm: 0.0408 2024-01-03 17:27:02,327 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:22:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1834, decode.loss_grad: 0.0000, loss: 0.1834, grad_norm: 0.0405 2024-01-03 17:27:05,279 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:22:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1799, decode.loss_grad: 0.0000, loss: 0.1799, grad_norm: 0.0428 2024-01-03 17:27:08,241 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:22:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1861, decode.loss_grad: 0.0000, loss: 0.1861, grad_norm: 0.0395 2024-01-03 17:27:11,179 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:22:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0405 2024-01-03 17:27:14,129 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:14,129 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:22:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1829, decode.loss_grad: 0.0000, loss: 0.1829, grad_norm: 0.0442 2024-01-03 17:27:17,071 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:22:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.0404 2024-01-03 17:27:20,038 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:22:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0395 2024-01-03 17:27:22,996 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:22:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1818, decode.loss_grad: 0.0000, loss: 0.1818, grad_norm: 0.0422 2024-01-03 17:27:25,961 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:22:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0414 2024-01-03 17:27:28,896 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:22:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1834, decode.loss_grad: 0.0000, loss: 0.1834, grad_norm: 0.0411 2024-01-03 17:27:31,860 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:22:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.0433 2024-01-03 17:27:34,815 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:22:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0418 2024-01-03 17:27:37,762 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:22:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1817, decode.loss_grad: 0.0000, loss: 0.1817, grad_norm: 0.0413 2024-01-03 17:27:40,696 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:21:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1819, decode.loss_grad: 0.0000, loss: 0.1819, grad_norm: 0.0410 2024-01-03 17:27:43,639 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:21:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1784, decode.loss_grad: 0.0000, loss: 0.1784, grad_norm: 0.0390 2024-01-03 17:27:46,598 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:21:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1854, decode.loss_grad: 0.0000, loss: 0.1854, grad_norm: 0.0432 2024-01-03 17:27:49,549 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:27:49,563 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:21:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1873, decode.loss_grad: 0.0000, loss: 0.1873, grad_norm: 0.0399 2024-01-03 17:27:52,502 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:21:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0413 2024-01-03 17:27:55,449 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:21:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1827, decode.loss_grad: 0.0000, loss: 0.1827, grad_norm: 0.0426 2024-01-03 17:27:58,427 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:21:36, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1850, decode.loss_grad: 0.0000, loss: 0.1850, grad_norm: 0.0407 2024-01-03 17:28:01,399 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:21:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0385 2024-01-03 17:28:04,343 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:21:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.0419 2024-01-03 17:28:07,299 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:21:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0415 2024-01-03 17:28:10,225 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:21:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1832, decode.loss_grad: 0.0000, loss: 0.1832, grad_norm: 0.0420 2024-01-03 17:28:13,176 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:13,177 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:21:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1848, decode.loss_grad: 0.0000, loss: 0.1848, grad_norm: 0.0416 2024-01-03 17:28:16,117 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:21:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0400 2024-01-03 17:28:19,087 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:21:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.0389 2024-01-03 17:28:22,044 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:21:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1799, decode.loss_grad: 0.0000, loss: 0.1799, grad_norm: 0.0417 2024-01-03 17:28:27,096 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:21:09, time: 0.101, data_time: 0.043, memory: 811, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.0396 2024-01-03 17:28:30,054 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:21:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1767, decode.loss_grad: 0.0000, loss: 0.1767, grad_norm: 0.0406 2024-01-03 17:28:33,010 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:21:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1824, decode.loss_grad: 0.0000, loss: 0.1824, grad_norm: 0.0411 2024-01-03 17:28:35,970 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:20:59, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0401 2024-01-03 17:28:38,918 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:20:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1825, decode.loss_grad: 0.0000, loss: 0.1825, grad_norm: 0.0411 2024-01-03 17:28:41,854 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:20:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.0409 2024-01-03 17:28:44,791 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:20:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0410 2024-01-03 17:28:47,747 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:20:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0398 2024-01-03 17:28:50,712 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:20:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0422 2024-01-03 17:28:53,658 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:20:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.0427 2024-01-03 17:28:56,611 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:20:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1820, decode.loss_grad: 0.0000, loss: 0.1820, grad_norm: 0.0418 2024-01-03 17:28:59,546 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:20:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.0407 2024-01-03 17:29:02,508 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:20:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1827, decode.loss_grad: 0.0000, loss: 0.1827, grad_norm: 0.0411 2024-01-03 17:29:05,475 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:20:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1813, decode.loss_grad: 0.0000, loss: 0.1813, grad_norm: 0.0425 2024-01-03 17:29:08,406 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:20:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1833, decode.loss_grad: 0.0000, loss: 0.1833, grad_norm: 0.0411 2024-01-03 17:29:11,375 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:20:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1808, decode.loss_grad: 0.0000, loss: 0.1808, grad_norm: 0.0417 2024-01-03 17:29:14,348 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:14,348 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:20:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0399 2024-01-03 17:29:17,312 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:20:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1787, decode.loss_grad: 0.0000, loss: 0.1787, grad_norm: 0.0393 2024-01-03 17:29:20,323 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:20:09, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0402 2024-01-03 17:29:23,274 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:20:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0412 2024-01-03 17:29:26,207 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:29:26,219 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:20:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1777, decode.loss_grad: 0.0000, loss: 0.1777, grad_norm: 0.0401 2024-01-03 17:29:31,937 - mmseg - INFO - Summary: 2024-01-03 17:29:31,938 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6851 | 0.9279 | 0.9849 | 0.2 | 0.6323 | 0.081 | 0.2338 | 19.8644 | 0.1642 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:29:31,938 - mmseg - INFO - Iter(val) [82] a1: 0.6851, a2: 0.9279, a3: 0.9849, abs_rel: 0.1999744027853012, rmse: 0.6322724223136902, log_10: 0.0810081735253334, rmse_log: 0.2337927371263504, silog: 19.8644, sq_rel: 0.1641872078180313 2024-01-03 17:29:34,898 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:20:04, time: 0.174, data_time: 0.116, memory: 811, decode.loss_depth: 0.1767, decode.loss_grad: 0.0000, loss: 0.1767, grad_norm: 0.0405 2024-01-03 17:29:37,844 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:20:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0416 2024-01-03 17:29:40,875 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:19:58, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.1799, decode.loss_grad: 0.0000, loss: 0.1799, grad_norm: 0.0406 2024-01-03 17:29:43,854 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:19:55, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0405 2024-01-03 17:29:46,811 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:19:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1808, decode.loss_grad: 0.0000, loss: 0.1808, grad_norm: 0.0393 2024-01-03 17:29:49,753 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:19:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0395 2024-01-03 17:29:52,712 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:19:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0408 2024-01-03 17:29:55,655 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:19:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1797, decode.loss_grad: 0.0000, loss: 0.1797, grad_norm: 0.0406 2024-01-03 17:29:58,589 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:19:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1790, decode.loss_grad: 0.0000, loss: 0.1790, grad_norm: 0.0415 2024-01-03 17:30:03,615 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:19:37, time: 0.101, data_time: 0.043, memory: 811, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0426 2024-01-03 17:30:06,547 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:19:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.0407 2024-01-03 17:30:09,512 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:19:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0390 2024-01-03 17:30:12,439 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:19:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1769, decode.loss_grad: 0.0000, loss: 0.1769, grad_norm: 0.0401 2024-01-03 17:30:15,393 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:19:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1845, decode.loss_grad: 0.0000, loss: 0.1845, grad_norm: 0.0432 2024-01-03 17:30:18,336 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:19:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0395 2024-01-03 17:30:21,299 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:21,299 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:19:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1801, decode.loss_grad: 0.0000, loss: 0.1801, grad_norm: 0.0438 2024-01-03 17:30:24,248 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:19:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.0435 2024-01-03 17:30:27,206 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:19:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.0394 2024-01-03 17:30:30,166 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:19:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.0417 2024-01-03 17:30:33,118 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:19:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1800, decode.loss_grad: 0.0000, loss: 0.1800, grad_norm: 0.0425 2024-01-03 17:30:36,079 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:19:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0401 2024-01-03 17:30:39,015 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:18:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1763, decode.loss_grad: 0.0000, loss: 0.1763, grad_norm: 0.0382 2024-01-03 17:30:41,977 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:18:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0394 2024-01-03 17:30:44,934 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:18:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1790, decode.loss_grad: 0.0000, loss: 0.1790, grad_norm: 0.0386 2024-01-03 17:30:47,883 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:18:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1811, decode.loss_grad: 0.0000, loss: 0.1811, grad_norm: 0.0406 2024-01-03 17:30:50,852 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:18:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1800, decode.loss_grad: 0.0000, loss: 0.1800, grad_norm: 0.0426 2024-01-03 17:30:53,814 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:18:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1786, decode.loss_grad: 0.0000, loss: 0.1786, grad_norm: 0.0396 2024-01-03 17:30:56,760 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:18:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0407 2024-01-03 17:30:59,731 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:18:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0394 2024-01-03 17:31:02,673 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:18:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0407 2024-01-03 17:31:05,594 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:18:27, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0397 2024-01-03 17:31:08,554 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:31:08,565 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:18:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1797, decode.loss_grad: 0.0000, loss: 0.1797, grad_norm: 0.0407 2024-01-03 17:31:11,502 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:18:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0399 2024-01-03 17:31:14,441 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:18:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0408 2024-01-03 17:31:17,362 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:18:14, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0402 2024-01-03 17:31:20,319 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:20,320 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:18:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0393 2024-01-03 17:31:23,292 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:18:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0386 2024-01-03 17:31:26,237 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:18:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.0401 2024-01-03 17:31:29,189 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:18:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0400 2024-01-03 17:31:34,215 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:17:59, time: 0.101, data_time: 0.044, memory: 811, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.0367 2024-01-03 17:31:37,159 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:17:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.0377 2024-01-03 17:31:40,135 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:17:52, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1795, decode.loss_grad: 0.0000, loss: 0.1795, grad_norm: 0.0432 2024-01-03 17:31:43,068 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:17:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1776, decode.loss_grad: 0.0000, loss: 0.1776, grad_norm: 0.0413 2024-01-03 17:31:46,023 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:17:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0415 2024-01-03 17:31:48,960 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:17:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1769, decode.loss_grad: 0.0000, loss: 0.1769, grad_norm: 0.0393 2024-01-03 17:31:51,903 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:17:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1767, decode.loss_grad: 0.0000, loss: 0.1767, grad_norm: 0.0389 2024-01-03 17:31:54,854 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:17:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0394 2024-01-03 17:31:57,789 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:17:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0418 2024-01-03 17:32:00,740 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:17:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.0392 2024-01-03 17:32:03,686 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:17:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1734, decode.loss_grad: 0.0000, loss: 0.1734, grad_norm: 0.0383 2024-01-03 17:32:06,647 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:17:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.0386 2024-01-03 17:32:09,593 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:17:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0394 2024-01-03 17:32:12,534 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:17:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0411 2024-01-03 17:32:15,476 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:17:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0397 2024-01-03 17:32:18,426 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:17:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.0391 2024-01-03 17:32:21,371 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:21,371 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:17:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.0375 2024-01-03 17:32:24,306 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:17:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0403 2024-01-03 17:32:27,260 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:17:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.0399 2024-01-03 17:32:30,246 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:16:57, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1734, decode.loss_grad: 0.0000, loss: 0.1734, grad_norm: 0.0376 2024-01-03 17:32:33,201 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:16:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1760, decode.loss_grad: 0.0000, loss: 0.1760, grad_norm: 0.0401 2024-01-03 17:32:36,171 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:16:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.0391 2024-01-03 17:32:39,157 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:16:47, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0391 2024-01-03 17:32:42,105 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:16:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0424 2024-01-03 17:32:45,058 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:32:45,079 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:16:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0408 2024-01-03 17:32:50,771 - mmseg - INFO - Summary: 2024-01-03 17:32:50,771 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.6852 | 0.9282 | 0.986 | 0.1937 | 0.6265 | 0.0805 | 0.2322 | 19.9319 | 0.1552 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:32:50,773 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/voc10k_distilled/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:32:50,783 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 17:32:50,783 - mmseg - INFO - Best abs_rel is 0.1937 at 22400 iter. 2024-01-03 17:32:50,783 - mmseg - INFO - Iter(val) [82] a1: 0.6852, a2: 0.9282, a3: 0.9860, abs_rel: 0.19371885061264038, rmse: 0.6264806389808655, log_10: 0.08049287647008896, rmse_log: 0.2321959286928177, silog: 19.9319, sq_rel: 0.15521086752414703 2024-01-03 17:32:53,739 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:16:41, time: 0.173, data_time: 0.116, memory: 811, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0412 2024-01-03 17:32:56,691 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:16:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.0415 2024-01-03 17:32:59,637 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:16:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.0416 2024-01-03 17:33:02,590 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:16:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0376 2024-01-03 17:33:05,546 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:16:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0373 2024-01-03 17:33:08,486 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:16:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.0411 2024-01-03 17:33:13,510 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:16:23, time: 0.100, data_time: 0.044, memory: 811, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0406 2024-01-03 17:33:16,459 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:16:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.0412 2024-01-03 17:33:19,394 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:16:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0399 2024-01-03 17:33:22,344 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:16:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0369 2024-01-03 17:33:25,284 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:16:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1721, decode.loss_grad: 0.0000, loss: 0.1721, grad_norm: 0.0369 2024-01-03 17:33:28,235 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:28,236 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:16:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0390 2024-01-03 17:33:31,203 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:16:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0384 2024-01-03 17:33:34,155 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:16:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0377 2024-01-03 17:33:37,095 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:15:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0377 2024-01-03 17:33:40,021 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:15:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0379 2024-01-03 17:33:42,982 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:15:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0408 2024-01-03 17:33:45,915 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:15:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0376 2024-01-03 17:33:48,867 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:15:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0370 2024-01-03 17:33:51,808 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:15:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0377 2024-01-03 17:33:54,747 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:15:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0379 2024-01-03 17:33:57,707 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:15:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0397 2024-01-03 17:34:00,651 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:15:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.0411 2024-01-03 17:34:03,623 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:15:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0392 2024-01-03 17:34:06,588 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:15:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.0381 2024-01-03 17:34:09,522 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:15:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0386 2024-01-03 17:34:12,480 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:15:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0404 2024-01-03 17:34:15,419 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:15:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0405 2024-01-03 17:34:18,382 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:15:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0391 2024-01-03 17:34:21,330 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:15:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0393 2024-01-03 17:34:24,265 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:15:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1705, decode.loss_grad: 0.0000, loss: 0.1705, grad_norm: 0.0373 2024-01-03 17:34:27,206 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:34:27,218 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:27,218 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:15:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1757, decode.loss_grad: 0.0000, loss: 0.1757, grad_norm: 0.0393 2024-01-03 17:34:30,166 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:14:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0368 2024-01-03 17:34:33,104 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:14:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0381 2024-01-03 17:34:36,043 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:14:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0383 2024-01-03 17:34:39,026 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:14:49, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0409 2024-01-03 17:34:44,014 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:14:47, time: 0.100, data_time: 0.044, memory: 811, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.0390 2024-01-03 17:34:46,955 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:14:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1744, decode.loss_grad: 0.0000, loss: 0.1744, grad_norm: 0.0405 2024-01-03 17:34:49,913 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:14:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0386 2024-01-03 17:34:52,861 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:14:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.0395 2024-01-03 17:34:55,835 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:14:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1745, decode.loss_grad: 0.0000, loss: 0.1745, grad_norm: 0.0384 2024-01-03 17:34:58,779 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:14:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0376 2024-01-03 17:35:01,737 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:14:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0363 2024-01-03 17:35:04,678 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:14:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1694, decode.loss_grad: 0.0000, loss: 0.1694, grad_norm: 0.0375 2024-01-03 17:35:07,633 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:14:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0382 2024-01-03 17:35:10,581 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:14:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1693, decode.loss_grad: 0.0000, loss: 0.1693, grad_norm: 0.0387 2024-01-03 17:35:13,531 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:14:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1757, decode.loss_grad: 0.0000, loss: 0.1757, grad_norm: 0.0368 2024-01-03 17:35:16,466 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:14:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.0379 2024-01-03 17:35:19,420 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:14:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1782, decode.loss_grad: 0.0000, loss: 0.1782, grad_norm: 0.0407 2024-01-03 17:35:22,377 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:14:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0369 2024-01-03 17:35:25,338 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:14:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0367 2024-01-03 17:35:28,266 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:28,266 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:13:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0377 2024-01-03 17:35:31,203 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:13:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1687, decode.loss_grad: 0.0000, loss: 0.1687, grad_norm: 0.0368 2024-01-03 17:35:34,160 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:13:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.0381 2024-01-03 17:35:37,109 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:13:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0394 2024-01-03 17:35:40,049 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:13:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0414 2024-01-03 17:35:43,002 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:13:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0388 2024-01-03 17:35:45,947 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:13:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0386 2024-01-03 17:35:48,880 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:13:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0390 2024-01-03 17:35:51,838 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:13:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0377 2024-01-03 17:35:54,784 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:13:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1762, decode.loss_grad: 0.0000, loss: 0.1762, grad_norm: 0.0402 2024-01-03 17:35:57,731 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:13:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0375 2024-01-03 17:36:00,670 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:13:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.0385 2024-01-03 17:36:03,640 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:36:03,653 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:13:20, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0368 2024-01-03 17:36:09,337 - mmseg - INFO - Summary: 2024-01-03 17:36:09,337 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6845 | 0.9262 | 0.9842 | 0.2019 | 0.6305 | 0.0812 | 0.2344 | 19.8317 | 0.1664 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:36:09,337 - mmseg - INFO - Iter(val) [82] a1: 0.6845, a2: 0.9262, a3: 0.9842, abs_rel: 0.2018945962190628, rmse: 0.6305299997329712, log_10: 0.08116225898265839, rmse_log: 0.23444139957427979, silog: 19.8317, sq_rel: 0.16635234653949738 2024-01-03 17:36:12,288 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:13:19, time: 0.173, data_time: 0.116, memory: 811, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0385 2024-01-03 17:36:15,221 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:13:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.0369 2024-01-03 17:36:20,259 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:13:14, time: 0.101, data_time: 0.044, memory: 811, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0378 2024-01-03 17:36:23,224 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:13:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0362 2024-01-03 17:36:26,196 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:13:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0357 2024-01-03 17:36:29,151 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:13:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0378 2024-01-03 17:36:32,090 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:13:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0369 2024-01-03 17:36:35,028 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:35,028 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:12:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0380 2024-01-03 17:36:37,960 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:12:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0371 2024-01-03 17:36:40,906 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:12:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.0372 2024-01-03 17:36:43,845 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:12:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.0374 2024-01-03 17:36:46,803 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:12:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.0384 2024-01-03 17:36:49,749 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:12:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0379 2024-01-03 17:36:52,679 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:12:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.0364 2024-01-03 17:36:55,639 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:12:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0383 2024-01-03 17:36:58,594 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:12:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0394 2024-01-03 17:37:01,529 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:12:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0396 2024-01-03 17:37:04,496 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:12:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0361 2024-01-03 17:37:07,465 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:12:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0372 2024-01-03 17:37:10,403 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:12:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0374 2024-01-03 17:37:13,353 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:12:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1714, decode.loss_grad: 0.0000, loss: 0.1714, grad_norm: 0.0361 2024-01-03 17:37:16,329 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:12:12, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0405 2024-01-03 17:37:19,296 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:12:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0396 2024-01-03 17:37:22,230 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:12:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0380 2024-01-03 17:37:25,170 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:12:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0385 2024-01-03 17:37:28,117 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:12:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0382 2024-01-03 17:37:31,060 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:11:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0377 2024-01-03 17:37:34,030 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:34,030 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:11:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0378 2024-01-03 17:37:36,963 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:11:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0373 2024-01-03 17:37:39,903 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:11:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0380 2024-01-03 17:37:42,861 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:11:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0370 2024-01-03 17:37:45,822 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:37:45,834 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:11:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0401 2024-01-03 17:37:48,799 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:11:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0373 2024-01-03 17:37:53,813 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:11:35, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0387 2024-01-03 17:37:56,812 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:11:32, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0375 2024-01-03 17:37:59,766 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:11:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0394 2024-01-03 17:38:02,708 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:11:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0360 2024-01-03 17:38:05,649 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:11:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0368 2024-01-03 17:38:08,585 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:11:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0357 2024-01-03 17:38:11,538 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:11:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0367 2024-01-03 17:38:14,482 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:11:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0354 2024-01-03 17:38:17,420 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:11:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0377 2024-01-03 17:38:20,344 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:11:06, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0352 2024-01-03 17:38:23,275 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:11:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0384 2024-01-03 17:38:26,216 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:11:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1682, decode.loss_grad: 0.0000, loss: 0.1682, grad_norm: 0.0382 2024-01-03 17:38:29,174 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:10:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0367 2024-01-03 17:38:32,114 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:10:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1706, decode.loss_grad: 0.0000, loss: 0.1706, grad_norm: 0.0387 2024-01-03 17:38:35,083 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:35,083 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:10:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0375 2024-01-03 17:38:38,043 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:10:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0381 2024-01-03 17:38:40,970 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:10:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0353 2024-01-03 17:38:43,936 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:10:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1653, decode.loss_grad: 0.0000, loss: 0.1653, grad_norm: 0.0361 2024-01-03 17:38:46,892 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:10:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0367 2024-01-03 17:38:49,841 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:10:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1638, decode.loss_grad: 0.0000, loss: 0.1638, grad_norm: 0.0357 2024-01-03 17:38:52,805 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:10:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0383 2024-01-03 17:38:55,761 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:10:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0377 2024-01-03 17:38:58,713 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:10:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0365 2024-01-03 17:39:01,676 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:10:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0364 2024-01-03 17:39:04,632 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:10:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1646, decode.loss_grad: 0.0000, loss: 0.1646, grad_norm: 0.0357 2024-01-03 17:39:07,581 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:10:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0380 2024-01-03 17:39:10,544 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:10:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.0369 2024-01-03 17:39:13,523 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:10:09, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0397 2024-01-03 17:39:16,491 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:10:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.0381 2024-01-03 17:39:19,437 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:10:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0381 2024-01-03 17:39:24,436 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:39:24,449 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:10:00, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0355 2024-01-03 17:39:30,123 - mmseg - INFO - Summary: 2024-01-03 17:39:30,123 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6874 | 0.9277 | 0.9851 | 0.1973 | 0.6261 | 0.0806 | 0.2326 | 19.8279 | 0.1597 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:39:30,124 - mmseg - INFO - Iter(val) [82] a1: 0.6874, a2: 0.9277, a3: 0.9851, abs_rel: 0.19732262194156647, rmse: 0.6261138319969177, log_10: 0.08056370168924332, rmse_log: 0.23255392909049988, silog: 19.8279, sq_rel: 0.15971601009368896 2024-01-03 17:39:33,064 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:09:58, time: 0.172, data_time: 0.115, memory: 811, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0387 2024-01-03 17:39:36,013 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:09:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0362 2024-01-03 17:39:38,985 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:09:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0380 2024-01-03 17:39:41,933 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:41,933 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:09:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0383 2024-01-03 17:39:44,873 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:09:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0384 2024-01-03 17:39:47,813 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:09:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0351 2024-01-03 17:39:50,740 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:09:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.0385 2024-01-03 17:39:53,660 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:09:36, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0356 2024-01-03 17:39:56,632 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:09:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0383 2024-01-03 17:39:59,614 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:09:30, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0382 2024-01-03 17:40:02,574 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:09:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0352 2024-01-03 17:40:05,522 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:09:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0379 2024-01-03 17:40:08,484 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:09:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0388 2024-01-03 17:40:11,462 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:09:17, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1641, decode.loss_grad: 0.0000, loss: 0.1641, grad_norm: 0.0381 2024-01-03 17:40:14,421 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:09:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0374 2024-01-03 17:40:17,375 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:09:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0363 2024-01-03 17:40:20,327 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:09:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0354 2024-01-03 17:40:23,276 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:09:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0363 2024-01-03 17:40:26,228 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:09:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0375 2024-01-03 17:40:29,182 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:08:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0379 2024-01-03 17:40:32,137 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:08:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0386 2024-01-03 17:40:35,087 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:08:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0349 2024-01-03 17:40:38,033 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:08:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0388 2024-01-03 17:40:40,974 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:40,974 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:08:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0365 2024-01-03 17:40:43,949 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:08:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0370 2024-01-03 17:40:46,916 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:08:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0365 2024-01-03 17:40:49,889 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:08:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0384 2024-01-03 17:40:52,828 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:08:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0356 2024-01-03 17:40:55,778 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:08:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0359 2024-01-03 17:41:00,792 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:08:27, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0382 2024-01-03 17:41:03,749 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:08:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0375 2024-01-03 17:41:06,701 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:41:06,717 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:08:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0370 2024-01-03 17:41:09,665 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:08:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0368 2024-01-03 17:41:12,620 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:08:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0363 2024-01-03 17:41:15,597 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:08:11, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0367 2024-01-03 17:41:18,526 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:08:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1682, decode.loss_grad: 0.0000, loss: 0.1682, grad_norm: 0.0356 2024-01-03 17:41:21,462 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:08:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0368 2024-01-03 17:41:24,414 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:08:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0365 2024-01-03 17:41:27,379 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0356 2024-01-03 17:41:30,337 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:07:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0347 2024-01-03 17:41:33,310 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:07:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.0341 2024-01-03 17:41:36,287 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:07:49, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0371 2024-01-03 17:41:39,230 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:07:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0379 2024-01-03 17:41:42,186 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:42,186 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:07:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0377 2024-01-03 17:41:45,177 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:07:39, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1646, decode.loss_grad: 0.0000, loss: 0.1646, grad_norm: 0.0373 2024-01-03 17:41:48,127 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:07:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0351 2024-01-03 17:41:51,077 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:07:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0357 2024-01-03 17:41:54,032 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:07:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0348 2024-01-03 17:41:56,984 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:07:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.0363 2024-01-03 17:41:59,943 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:07:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.0371 2024-01-03 17:42:02,892 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:07:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1694, decode.loss_grad: 0.0000, loss: 0.1694, grad_norm: 0.0358 2024-01-03 17:42:05,834 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:07:17, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0358 2024-01-03 17:42:08,785 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:07:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0360 2024-01-03 17:42:11,740 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:07:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0354 2024-01-03 17:42:14,702 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:07:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0363 2024-01-03 17:42:17,647 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:07:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1646, decode.loss_grad: 0.0000, loss: 0.1646, grad_norm: 0.0354 2024-01-03 17:42:20,600 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:07:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0368 2024-01-03 17:42:23,552 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0350 2024-01-03 17:42:26,610 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:55, time: 0.061, data_time: 0.002, memory: 811, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0365 2024-01-03 17:42:31,615 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:52, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0366 2024-01-03 17:42:34,553 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:06:49, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0358 2024-01-03 17:42:37,489 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:06:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0365 2024-01-03 17:42:40,423 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:06:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0366 2024-01-03 17:42:43,362 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:42:43,376 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:43,376 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:06:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1646, decode.loss_grad: 0.0000, loss: 0.1646, grad_norm: 0.0348 2024-01-03 17:42:49,103 - mmseg - INFO - Summary: 2024-01-03 17:42:49,104 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6883 | 0.9289 | 0.9857 | 0.196 | 0.6248 | 0.0804 | 0.2318 | 19.8195 | 0.1572 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:42:49,104 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:49,104 - mmseg - INFO - Iter(val) [82] a1: 0.6883, a2: 0.9289, a3: 0.9857, abs_rel: 0.19596676528453827, rmse: 0.6247759461402893, log_10: 0.0803685262799263, rmse_log: 0.23181086778640747, silog: 19.8195, sq_rel: 0.15717148780822754 2024-01-03 17:42:52,059 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:37, time: 0.174, data_time: 0.116, memory: 811, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0359 2024-01-03 17:42:55,036 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:34, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0370 2024-01-03 17:42:58,001 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0350 2024-01-03 17:43:00,947 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:06:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0341 2024-01-03 17:43:03,890 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:06:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0346 2024-01-03 17:43:06,840 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:06:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0353 2024-01-03 17:43:09,808 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:06:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0360 2024-01-03 17:43:12,757 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:06:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0348 2024-01-03 17:43:15,728 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:06:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0365 2024-01-03 17:43:18,658 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:06:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0348 2024-01-03 17:43:21,600 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:06:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0352 2024-01-03 17:43:24,542 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:06:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0354 2024-01-03 17:43:27,503 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:59, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1660, decode.loss_grad: 0.0000, loss: 0.1660, grad_norm: 0.0358 2024-01-03 17:43:30,446 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1645, decode.loss_grad: 0.0000, loss: 0.1645, grad_norm: 0.0354 2024-01-03 17:43:33,399 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0348 2024-01-03 17:43:36,387 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:50, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0360 2024-01-03 17:43:39,328 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0360 2024-01-03 17:43:42,254 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0354 2024-01-03 17:43:45,230 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:40, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0369 2024-01-03 17:43:48,162 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:48,162 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0330 2024-01-03 17:43:51,111 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0364 2024-01-03 17:43:54,051 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1624, decode.loss_grad: 0.0000, loss: 0.1624, grad_norm: 0.0373 2024-01-03 17:43:57,012 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0369 2024-01-03 17:43:59,960 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:05:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0369 2024-01-03 17:44:02,894 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:05:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0335 2024-01-03 17:44:05,845 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:05:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0364 2024-01-03 17:44:10,866 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:05:16, time: 0.100, data_time: 0.044, memory: 811, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0364 2024-01-03 17:44:13,801 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:05:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0369 2024-01-03 17:44:16,737 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:05:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1714, decode.loss_grad: 0.0000, loss: 0.1714, grad_norm: 0.0360 2024-01-03 17:44:19,671 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:05:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0344 2024-01-03 17:44:22,595 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:05:03, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0331 2024-01-03 17:44:25,541 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:44:25,562 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:05:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1638, decode.loss_grad: 0.0000, loss: 0.1638, grad_norm: 0.0328 2024-01-03 17:44:28,526 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0351 2024-01-03 17:44:31,494 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.0363 2024-01-03 17:44:34,430 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:50, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0361 2024-01-03 17:44:37,387 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0357 2024-01-03 17:44:40,321 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0371 2024-01-03 17:44:43,276 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:41, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1629, decode.loss_grad: 0.0000, loss: 0.1629, grad_norm: 0.0356 2024-01-03 17:44:46,231 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.0344 2024-01-03 17:44:49,177 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:49,177 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.0342 2024-01-03 17:44:52,112 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:31, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0341 2024-01-03 17:44:55,068 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0351 2024-01-03 17:44:58,004 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:25, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0346 2024-01-03 17:45:00,952 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0362 2024-01-03 17:45:03,887 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0365 2024-01-03 17:45:06,813 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:04:16, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1672, decode.loss_grad: 0.0000, loss: 0.1672, grad_norm: 0.0344 2024-01-03 17:45:09,750 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:04:13, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0344 2024-01-03 17:45:12,714 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:04:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0346 2024-01-03 17:45:15,701 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:04:06, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1618, decode.loss_grad: 0.0000, loss: 0.1618, grad_norm: 0.0352 2024-01-03 17:45:18,667 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:04:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0360 2024-01-03 17:45:21,608 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:04:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0339 2024-01-03 17:45:24,546 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:57, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0345 2024-01-03 17:45:27,490 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:54, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0356 2024-01-03 17:45:30,457 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:51, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1645, decode.loss_grad: 0.0000, loss: 0.1645, grad_norm: 0.0351 2024-01-03 17:45:33,414 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:47, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0341 2024-01-03 17:45:36,351 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:44, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0343 2024-01-03 17:45:41,366 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:41, time: 0.100, data_time: 0.043, memory: 811, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.0344 2024-01-03 17:45:44,301 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:38, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1639, decode.loss_grad: 0.0000, loss: 0.1639, grad_norm: 0.0338 2024-01-03 17:45:47,234 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:35, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0354 2024-01-03 17:45:50,181 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:50,182 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:32, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1670, decode.loss_grad: 0.0000, loss: 0.1670, grad_norm: 0.0354 2024-01-03 17:45:53,116 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:29, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0344 2024-01-03 17:45:56,063 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0343 2024-01-03 17:45:59,005 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:22, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0375 2024-01-03 17:46:01,944 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:46:01,960 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:19, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1660, decode.loss_grad: 0.0000, loss: 0.1660, grad_norm: 0.0354 2024-01-03 17:46:07,662 - mmseg - INFO - Summary: 2024-01-03 17:46:07,662 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6896 | 0.9284 | 0.9853 | 0.1962 | 0.6242 | 0.0803 | 0.2318 | 19.7915 | 0.1574 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:46:07,662 - mmseg - INFO - Iter(val) [82] a1: 0.6896, a2: 0.9284, a3: 0.9853, abs_rel: 0.19623318314552307, rmse: 0.6241698861122131, log_10: 0.08028651028871536, rmse_log: 0.23181156814098358, silog: 19.7915, sq_rel: 0.15742827951908112 2024-01-03 17:46:10,603 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:17, time: 0.173, data_time: 0.116, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0358 2024-01-03 17:46:13,560 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1588, decode.loss_grad: 0.0000, loss: 0.1588, grad_norm: 0.0360 2024-01-03 17:46:16,508 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:03:10, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0352 2024-01-03 17:46:19,454 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:03:07, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0335 2024-01-03 17:46:22,405 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:03:04, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0342 2024-01-03 17:46:25,328 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:03:01, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0353 2024-01-03 17:46:28,320 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:58, time: 0.060, data_time: 0.002, memory: 811, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.0368 2024-01-03 17:46:31,278 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0344 2024-01-03 17:46:34,228 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0353 2024-01-03 17:46:37,181 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:48, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0362 2024-01-03 17:46:40,145 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:45, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0350 2024-01-03 17:46:43,084 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:42, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0366 2024-01-03 17:46:46,037 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:39, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1624, decode.loss_grad: 0.0000, loss: 0.1624, grad_norm: 0.0341 2024-01-03 17:46:48,973 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0368 2024-01-03 17:46:51,912 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0331 2024-01-03 17:46:54,854 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:54,854 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0339 2024-01-03 17:46:57,794 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:26, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0341 2024-01-03 17:47:00,735 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:23, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0347 2024-01-03 17:47:03,675 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:20, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0351 2024-01-03 17:47:06,595 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:17, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1627, decode.loss_grad: 0.0000, loss: 0.1627, grad_norm: 0.0345 2024-01-03 17:47:09,521 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1655, decode.loss_grad: 0.0000, loss: 0.1655, grad_norm: 0.0332 2024-01-03 17:47:12,474 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0335 2024-01-03 17:47:17,512 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:02:08, time: 0.101, data_time: 0.044, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0356 2024-01-03 17:47:20,457 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:02:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1645, decode.loss_grad: 0.0000, loss: 0.1645, grad_norm: 0.0332 2024-01-03 17:47:23,397 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:02:01, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1602, decode.loss_grad: 0.0000, loss: 0.1602, grad_norm: 0.0353 2024-01-03 17:47:26,331 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:58, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1643, decode.loss_grad: 0.0000, loss: 0.1643, grad_norm: 0.0354 2024-01-03 17:47:29,267 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:55, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0343 2024-01-03 17:47:32,196 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:52, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.0341 2024-01-03 17:47:35,113 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:49, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.0352 2024-01-03 17:47:38,055 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0336 2024-01-03 17:47:41,005 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0337 2024-01-03 17:47:43,962 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:47:43,974 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0355 2024-01-03 17:47:46,921 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:36, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0343 2024-01-03 17:47:49,873 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:33, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0326 2024-01-03 17:47:52,818 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:30, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0334 2024-01-03 17:47:55,767 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:47:55,767 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:27, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1625, decode.loss_grad: 0.0000, loss: 0.1625, grad_norm: 0.0347 2024-01-03 17:47:58,711 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1610, decode.loss_grad: 0.0000, loss: 0.1610, grad_norm: 0.0343 2024-01-03 17:48:01,653 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0362 2024-01-03 17:48:04,616 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0340 2024-01-03 17:48:07,581 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:14, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0340 2024-01-03 17:48:10,518 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:11, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1655, decode.loss_grad: 0.0000, loss: 0.1655, grad_norm: 0.0349 2024-01-03 17:48:13,476 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:08, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.0342 2024-01-03 17:48:16,447 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:05, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0339 2024-01-03 17:48:19,394 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:02, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0331 2024-01-03 17:48:22,335 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:59, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0357 2024-01-03 17:48:25,270 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:56, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1625, decode.loss_grad: 0.0000, loss: 0.1625, grad_norm: 0.0339 2024-01-03 17:48:28,206 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:53, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0349 2024-01-03 17:48:31,127 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:49, time: 0.058, data_time: 0.002, memory: 811, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0338 2024-01-03 17:48:34,078 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:46, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0328 2024-01-03 17:48:37,045 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:43, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0349 2024-01-03 17:48:39,996 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:40, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.0344 2024-01-03 17:48:42,941 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:37, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0358 2024-01-03 17:48:45,882 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:34, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0356 2024-01-03 17:48:50,942 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:31, time: 0.101, data_time: 0.043, memory: 811, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0340 2024-01-03 17:48:53,902 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:28, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0345 2024-01-03 17:48:56,836 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:48:56,836 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:24, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0347 2024-01-03 17:48:59,781 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:21, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0340 2024-01-03 17:49:02,731 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:18, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1631, decode.loss_grad: 0.0000, loss: 0.1631, grad_norm: 0.0346 2024-01-03 17:49:05,677 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:15, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0339 2024-01-03 17:49:08,627 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:12, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1631, decode.loss_grad: 0.0000, loss: 0.1631, grad_norm: 0.0344 2024-01-03 17:49:11,602 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:09, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1622, decode.loss_grad: 0.0000, loss: 0.1622, grad_norm: 0.0352 2024-01-03 17:49:14,536 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:06, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.0342 2024-01-03 17:49:17,504 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:03, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0341 2024-01-03 17:49:20,442 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:49:20,456 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.059, data_time: 0.002, memory: 811, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.0340 2024-01-03 17:49:26,161 - mmseg - INFO - Summary: 2024-01-03 17:49:26,161 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6891 | 0.9285 | 0.9854 | 0.1964 | 0.6243 | 0.0803 | 0.2319 | 19.7898 | 0.1579 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:49:26,161 - mmseg - INFO - Iter(val) [82] a1: 0.6891, a2: 0.9285, a3: 0.9854, abs_rel: 0.1964312195777893, rmse: 0.6243022680282593, log_10: 0.08031964302062988, rmse_log: 0.23186331987380981, silog: 19.7898, sq_rel: 0.15785746276378632