2024-01-03 17:18:30,559 - 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 17:18:30,560 - mmseg - INFO - Distributed training: True 2024-01-03 17:18:30,560 - 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/original/eva02_base_patch16_clip_224.merged2b', 'gpu_ids': range(0, 1)} 2024-01-03 17:18:35,115 - mmseg - INFO - Loading backbone from eva02_base_patch16_clip_224.merged2b 2024-01-03 17:18:35,137 - 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 17:18:35,221 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:18:35,979 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:18:35,979 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/eva02_base_patch16_clip_224.merged2b 2024-01-03 17:18:35,979 - 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 17:18:35,979 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:18:35,979 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/eva02_base_patch16_clip_224.merged2b by HardDiskBackend. 2024-01-03 17:18:55,064 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:21:49, time: 0.128, data_time: 0.004, memory: 750, decode.loss_depth: 0.2108, decode.loss_grad: 0.0000, loss: 0.2108, grad_norm: 0.5390 2024-01-03 17:18:57,955 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:59:19, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.2606 2024-01-03 17:19:00,819 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:51:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.4239, decode.loss_grad: 0.0000, loss: 0.4239, grad_norm: 0.1552 2024-01-03 17:19:03,713 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:47:54, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.3942, decode.loss_grad: 0.0000, loss: 0.3942, grad_norm: 0.1560 2024-01-03 17:19:06,665 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:45:46, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.3687, decode.loss_grad: 0.0000, loss: 0.3687, grad_norm: 0.1842 2024-01-03 17:19:09,539 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:44:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.3412, decode.loss_grad: 0.0000, loss: 0.3412, grad_norm: 0.1878 2024-01-03 17:19:12,407 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:43:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.3284, decode.loss_grad: 0.0000, loss: 0.3284, grad_norm: 0.2039 2024-01-03 17:19:15,283 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:42:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.3107, decode.loss_grad: 0.0000, loss: 0.3107, grad_norm: 0.1949 2024-01-03 17:19:18,236 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:41:33, time: 0.059, data_time: 0.004, memory: 750, decode.loss_depth: 0.3012, decode.loss_grad: 0.0000, loss: 0.3012, grad_norm: 0.1983 2024-01-03 17:19:21,085 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:40:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.3048, decode.loss_grad: 0.0000, loss: 0.3048, grad_norm: 0.2000 2024-01-03 17:19:23,917 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:40:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.3035, decode.loss_grad: 0.0000, loss: 0.3035, grad_norm: 0.1944 2024-01-03 17:19:26,851 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:40:05, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.2854, decode.loss_grad: 0.0000, loss: 0.2854, grad_norm: 0.1907 2024-01-03 17:19:29,699 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:39:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2901, decode.loss_grad: 0.0000, loss: 0.2901, grad_norm: 0.1942 2024-01-03 17:19:32,530 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:39:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2838, decode.loss_grad: 0.0000, loss: 0.2838, grad_norm: 0.2028 2024-01-03 17:19:35,411 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:39:06, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2752, decode.loss_grad: 0.0000, loss: 0.2752, grad_norm: 0.1928 2024-01-03 17:19:38,303 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:38:52, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2824, decode.loss_grad: 0.0000, loss: 0.2824, grad_norm: 0.1789 2024-01-03 17:19:41,139 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:38:38, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2710, decode.loss_grad: 0.0000, loss: 0.2710, grad_norm: 0.1840 2024-01-03 17:19:43,998 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:38:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2741, decode.loss_grad: 0.0000, loss: 0.2741, grad_norm: 0.1783 2024-01-03 17:19:46,899 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:38:15, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2707, decode.loss_grad: 0.0000, loss: 0.2707, grad_norm: 0.1821 2024-01-03 17:19:49,829 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:49,829 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:38:07, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.2645, decode.loss_grad: 0.0000, loss: 0.2645, grad_norm: 0.1779 2024-01-03 17:19:52,708 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:37:58, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2636, decode.loss_grad: 0.0000, loss: 0.2636, grad_norm: 0.1804 2024-01-03 17:19:55,579 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:37:48, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2653, decode.loss_grad: 0.0000, loss: 0.2653, grad_norm: 0.1702 2024-01-03 17:19:58,452 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:37:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2605, decode.loss_grad: 0.0000, loss: 0.2605, grad_norm: 0.1707 2024-01-03 17:20:01,372 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:37:33, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2533, decode.loss_grad: 0.0000, loss: 0.2533, grad_norm: 0.1748 2024-01-03 17:20:04,242 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:37:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2649, decode.loss_grad: 0.0000, loss: 0.2649, grad_norm: 0.1681 2024-01-03 17:20:07,101 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:37:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2575, decode.loss_grad: 0.0000, loss: 0.2575, grad_norm: 0.1637 2024-01-03 17:20:10,178 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:37:17, time: 0.062, data_time: 0.002, memory: 750, decode.loss_depth: 0.2584, decode.loss_grad: 0.0000, loss: 0.2584, grad_norm: 0.1636 2024-01-03 17:20:13,032 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:37:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2559, decode.loss_grad: 0.0000, loss: 0.2559, grad_norm: 0.1575 2024-01-03 17:20:15,875 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:37:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2497, decode.loss_grad: 0.0000, loss: 0.2497, grad_norm: 0.1632 2024-01-03 17:20:18,717 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:36:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2536, decode.loss_grad: 0.0000, loss: 0.2536, grad_norm: 0.1633 2024-01-03 17:20:23,663 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:37:38, time: 0.099, data_time: 0.043, memory: 750, decode.loss_depth: 0.2492, decode.loss_grad: 0.0000, loss: 0.2492, grad_norm: 0.1547 2024-01-03 17:20:26,497 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:20:26,517 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:37:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2495, decode.loss_grad: 0.0000, loss: 0.2495, grad_norm: 0.1553 2024-01-03 17:20:29,320 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:37:21, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2467, decode.loss_grad: 0.0000, loss: 0.2467, grad_norm: 0.1485 2024-01-03 17:20:32,149 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:37:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2465, decode.loss_grad: 0.0000, loss: 0.2465, grad_norm: 0.1489 2024-01-03 17:20:34,956 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:37:05, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2485, decode.loss_grad: 0.0000, loss: 0.2485, grad_norm: 0.1496 2024-01-03 17:20:37,776 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:36:58, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2418, decode.loss_grad: 0.0000, loss: 0.2418, grad_norm: 0.1477 2024-01-03 17:20:40,597 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:36:51, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2485, decode.loss_grad: 0.0000, loss: 0.2485, grad_norm: 0.1395 2024-01-03 17:20:43,585 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:36:47, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.2437, decode.loss_grad: 0.0000, loss: 0.2437, grad_norm: 0.1434 2024-01-03 17:20:46,412 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:36:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2424, decode.loss_grad: 0.0000, loss: 0.2424, grad_norm: 0.1404 2024-01-03 17:20:49,269 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:49,269 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:36:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2397, decode.loss_grad: 0.0000, loss: 0.2397, grad_norm: 0.1328 2024-01-03 17:20:52,348 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:36:33, time: 0.062, data_time: 0.002, memory: 750, decode.loss_depth: 0.2419, decode.loss_grad: 0.0000, loss: 0.2419, grad_norm: 0.1360 2024-01-03 17:20:55,178 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:36:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2406, decode.loss_grad: 0.0000, loss: 0.2406, grad_norm: 0.1332 2024-01-03 17:20:58,020 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:36:20, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2405, decode.loss_grad: 0.0000, loss: 0.2405, grad_norm: 0.1353 2024-01-03 17:21:00,877 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:36:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2345, decode.loss_grad: 0.0000, loss: 0.2345, grad_norm: 0.1314 2024-01-03 17:21:03,714 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:36:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2347, decode.loss_grad: 0.0000, loss: 0.2347, grad_norm: 0.1250 2024-01-03 17:21:06,571 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:36:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2374, decode.loss_grad: 0.0000, loss: 0.2374, grad_norm: 0.1254 2024-01-03 17:21:09,407 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:35:58, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2365, decode.loss_grad: 0.0000, loss: 0.2365, grad_norm: 0.1282 2024-01-03 17:21:12,250 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:35:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2365, decode.loss_grad: 0.0000, loss: 0.2365, grad_norm: 0.1247 2024-01-03 17:21:15,273 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:35:51, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.2377, decode.loss_grad: 0.0000, loss: 0.2377, grad_norm: 0.1262 2024-01-03 17:21:18,114 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:35:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2389, decode.loss_grad: 0.0000, loss: 0.2389, grad_norm: 0.1248 2024-01-03 17:21:20,954 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:35:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2340, decode.loss_grad: 0.0000, loss: 0.2340, grad_norm: 0.1221 2024-01-03 17:21:23,974 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:35:38, time: 0.060, data_time: 0.005, memory: 750, decode.loss_depth: 0.2291, decode.loss_grad: 0.0000, loss: 0.2291, grad_norm: 0.1206 2024-01-03 17:21:26,821 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:35:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2370, decode.loss_grad: 0.0000, loss: 0.2370, grad_norm: 0.1225 2024-01-03 17:21:29,647 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:35:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2367, decode.loss_grad: 0.0000, loss: 0.2367, grad_norm: 0.1216 2024-01-03 17:21:32,479 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:35:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2319, decode.loss_grad: 0.0000, loss: 0.2319, grad_norm: 0.1169 2024-01-03 17:21:35,335 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:35:19, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2306, decode.loss_grad: 0.0000, loss: 0.2306, grad_norm: 0.1207 2024-01-03 17:21:38,176 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:35:14, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2276, decode.loss_grad: 0.0000, loss: 0.2276, grad_norm: 0.1187 2024-01-03 17:21:41,021 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:35:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2287, decode.loss_grad: 0.0000, loss: 0.2287, grad_norm: 0.1143 2024-01-03 17:21:43,839 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:35:04, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2293, decode.loss_grad: 0.0000, loss: 0.2293, grad_norm: 0.1127 2024-01-03 17:21:46,672 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:46,673 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:35:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2254, decode.loss_grad: 0.0000, loss: 0.2254, grad_norm: 0.1145 2024-01-03 17:21:51,591 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:35:20, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.2248, decode.loss_grad: 0.0000, loss: 0.2248, grad_norm: 0.1142 2024-01-03 17:21:54,411 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:35:15, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2289, decode.loss_grad: 0.0000, loss: 0.2289, grad_norm: 0.1060 2024-01-03 17:21:57,320 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:35:11, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2259, decode.loss_grad: 0.0000, loss: 0.2259, grad_norm: 0.1144 2024-01-03 17:22:00,140 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:22:00,151 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:35:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2230, decode.loss_grad: 0.0000, loss: 0.2230, grad_norm: 0.1069 2024-01-03 17:22:15,934 - mmseg - INFO - Summary: 2024-01-03 17:22:15,935 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.6368 | 0.9013 | 0.9751 | 0.2284 | 0.684 | 0.0901 | 0.2603 | 22.1526 | 0.2022 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:22:15,945 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:22:15,946 - mmseg - INFO - Best abs_rel is 0.2284 at 3200 iter. 2024-01-03 17:22:15,946 - mmseg - INFO - Iter(val) [82] a1: 0.6368, a2: 0.9013, a3: 0.9751, abs_rel: 0.22835898399353027, rmse: 0.6840178966522217, log_10: 0.09006273001432419, rmse_log: 0.26025643944740295, silog: 22.1526, sq_rel: 0.2021738737821579 2024-01-03 17:22:18,776 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:37:52, time: 0.372, data_time: 0.318, memory: 750, decode.loss_depth: 0.2265, decode.loss_grad: 0.0000, loss: 0.2265, grad_norm: 0.1068 2024-01-03 17:22:21,607 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:37:44, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2288, decode.loss_grad: 0.0000, loss: 0.2288, grad_norm: 0.1122 2024-01-03 17:22:24,425 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:37:37, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2303, decode.loss_grad: 0.0000, loss: 0.2303, grad_norm: 0.1078 2024-01-03 17:22:27,265 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:37:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2267, decode.loss_grad: 0.0000, loss: 0.2267, grad_norm: 0.1066 2024-01-03 17:22:30,099 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:37:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2299, decode.loss_grad: 0.0000, loss: 0.2299, grad_norm: 0.1073 2024-01-03 17:22:32,940 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:37:16, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2286, decode.loss_grad: 0.0000, loss: 0.2286, grad_norm: 0.1056 2024-01-03 17:22:35,778 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:37:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2245, decode.loss_grad: 0.0000, loss: 0.2245, grad_norm: 0.1038 2024-01-03 17:22:38,603 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:37:02, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2252, decode.loss_grad: 0.0000, loss: 0.2252, grad_norm: 0.0995 2024-01-03 17:22:41,422 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:36:55, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2214, decode.loss_grad: 0.0000, loss: 0.2214, grad_norm: 0.1029 2024-01-03 17:22:44,231 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:36:49, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2269, decode.loss_grad: 0.0000, loss: 0.2269, grad_norm: 0.1011 2024-01-03 17:22:47,053 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:36:42, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2209, decode.loss_grad: 0.0000, loss: 0.2209, grad_norm: 0.0988 2024-01-03 17:22:49,985 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:36:37, time: 0.059, data_time: 0.004, memory: 750, decode.loss_depth: 0.2240, decode.loss_grad: 0.0000, loss: 0.2240, grad_norm: 0.1003 2024-01-03 17:22:52,830 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:36:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2246, decode.loss_grad: 0.0000, loss: 0.2246, grad_norm: 0.1040 2024-01-03 17:22:55,679 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:36:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2216, decode.loss_grad: 0.0000, loss: 0.2216, grad_norm: 0.0946 2024-01-03 17:22:58,501 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:36:18, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2212, decode.loss_grad: 0.0000, loss: 0.2212, grad_norm: 0.0956 2024-01-03 17:23:01,336 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:01,336 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:36:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2168, decode.loss_grad: 0.0000, loss: 0.2168, grad_norm: 0.0910 2024-01-03 17:23:04,148 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:36:06, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2174, decode.loss_grad: 0.0000, loss: 0.2174, grad_norm: 0.0907 2024-01-03 17:23:06,972 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:36:00, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2173, decode.loss_grad: 0.0000, loss: 0.2173, grad_norm: 0.0928 2024-01-03 17:23:09,812 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:35:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2201, decode.loss_grad: 0.0000, loss: 0.2201, grad_norm: 0.0913 2024-01-03 17:23:12,767 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:35:50, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.2227, decode.loss_grad: 0.0000, loss: 0.2227, grad_norm: 0.0917 2024-01-03 17:23:15,642 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:35:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2172, decode.loss_grad: 0.0000, loss: 0.2172, grad_norm: 0.0914 2024-01-03 17:23:18,469 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:35:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2163, decode.loss_grad: 0.0000, loss: 0.2163, grad_norm: 0.0886 2024-01-03 17:23:21,317 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:35:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2166, decode.loss_grad: 0.0000, loss: 0.2166, grad_norm: 0.0875 2024-01-03 17:23:24,158 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:35:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2228, decode.loss_grad: 0.0000, loss: 0.2228, grad_norm: 0.0919 2024-01-03 17:23:26,983 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:35:23, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2234, decode.loss_grad: 0.0000, loss: 0.2234, grad_norm: 0.0916 2024-01-03 17:23:29,830 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:35:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2182, decode.loss_grad: 0.0000, loss: 0.2182, grad_norm: 0.0847 2024-01-03 17:23:34,789 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:35:28, time: 0.099, data_time: 0.043, memory: 750, decode.loss_depth: 0.2143, decode.loss_grad: 0.0000, loss: 0.2143, grad_norm: 0.0841 2024-01-03 17:23:37,601 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:35:22, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2160, decode.loss_grad: 0.0000, loss: 0.2160, grad_norm: 0.0827 2024-01-03 17:23:40,460 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:35:17, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2184, decode.loss_grad: 0.0000, loss: 0.2184, grad_norm: 0.0833 2024-01-03 17:23:43,343 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:35:12, time: 0.058, data_time: 0.003, memory: 750, decode.loss_depth: 0.2187, decode.loss_grad: 0.0000, loss: 0.2187, grad_norm: 0.0857 2024-01-03 17:23:46,194 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:35:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2142, decode.loss_grad: 0.0000, loss: 0.2142, grad_norm: 0.0845 2024-01-03 17:23:49,057 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:23:49,071 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:35:02, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2138, decode.loss_grad: 0.0000, loss: 0.2138, grad_norm: 0.0827 2024-01-03 17:23:51,925 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:34:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2182, decode.loss_grad: 0.0000, loss: 0.2182, grad_norm: 0.0862 2024-01-03 17:23:54,766 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:34:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2138, decode.loss_grad: 0.0000, loss: 0.2138, grad_norm: 0.0800 2024-01-03 17:23:57,592 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:34:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2135, decode.loss_grad: 0.0000, loss: 0.2135, grad_norm: 0.0805 2024-01-03 17:24:00,436 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:00,436 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:34:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2119, decode.loss_grad: 0.0000, loss: 0.2119, grad_norm: 0.0802 2024-01-03 17:24:03,259 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:34:37, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2053, decode.loss_grad: 0.0000, loss: 0.2053, grad_norm: 0.0765 2024-01-03 17:24:06,097 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:34:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2118, decode.loss_grad: 0.0000, loss: 0.2118, grad_norm: 0.0736 2024-01-03 17:24:08,941 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:34:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2123, decode.loss_grad: 0.0000, loss: 0.2123, grad_norm: 0.0813 2024-01-03 17:24:11,770 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:34:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2137, decode.loss_grad: 0.0000, loss: 0.2137, grad_norm: 0.0724 2024-01-03 17:24:14,615 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:34:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2164, decode.loss_grad: 0.0000, loss: 0.2164, grad_norm: 0.0804 2024-01-03 17:24:17,434 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:34:13, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2161, decode.loss_grad: 0.0000, loss: 0.2161, grad_norm: 0.0766 2024-01-03 17:24:20,284 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:34:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2127, decode.loss_grad: 0.0000, loss: 0.2127, grad_norm: 0.0749 2024-01-03 17:24:23,125 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:34:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2135, decode.loss_grad: 0.0000, loss: 0.2135, grad_norm: 0.0757 2024-01-03 17:24:26,037 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:33:59, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0763 2024-01-03 17:24:28,887 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:33:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2096, decode.loss_grad: 0.0000, loss: 0.2096, grad_norm: 0.0720 2024-01-03 17:24:31,725 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:33:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2101, decode.loss_grad: 0.0000, loss: 0.2101, grad_norm: 0.0731 2024-01-03 17:24:34,561 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:33:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2133, decode.loss_grad: 0.0000, loss: 0.2133, grad_norm: 0.0738 2024-01-03 17:24:37,372 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:33:41, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2097, decode.loss_grad: 0.0000, loss: 0.2097, grad_norm: 0.0701 2024-01-03 17:24:40,196 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:33:36, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2103, decode.loss_grad: 0.0000, loss: 0.2103, grad_norm: 0.0734 2024-01-03 17:24:43,019 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:33:32, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2140, decode.loss_grad: 0.0000, loss: 0.2140, grad_norm: 0.0699 2024-01-03 17:24:45,866 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:33:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2107, decode.loss_grad: 0.0000, loss: 0.2107, grad_norm: 0.0701 2024-01-03 17:24:48,715 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:33:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2117, decode.loss_grad: 0.0000, loss: 0.2117, grad_norm: 0.0706 2024-01-03 17:24:51,533 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:33:18, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2102, decode.loss_grad: 0.0000, loss: 0.2102, grad_norm: 0.0710 2024-01-03 17:24:54,365 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:33:14, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2074, decode.loss_grad: 0.0000, loss: 0.2074, grad_norm: 0.0712 2024-01-03 17:24:57,199 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:57,200 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:33:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2136, decode.loss_grad: 0.0000, loss: 0.2136, grad_norm: 0.0712 2024-01-03 17:25:00,151 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:33:06, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.2090, decode.loss_grad: 0.0000, loss: 0.2090, grad_norm: 0.0677 2024-01-03 17:25:05,082 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:33:13, time: 0.099, data_time: 0.044, memory: 750, decode.loss_depth: 0.2064, decode.loss_grad: 0.0000, loss: 0.2064, grad_norm: 0.0688 2024-01-03 17:25:07,924 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:33:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2084, decode.loss_grad: 0.0000, loss: 0.2084, grad_norm: 0.0682 2024-01-03 17:25:10,756 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:33:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2011, decode.loss_grad: 0.0000, loss: 0.2011, grad_norm: 0.0646 2024-01-03 17:25:13,591 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:32:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2064, decode.loss_grad: 0.0000, loss: 0.2064, grad_norm: 0.0668 2024-01-03 17:25:16,406 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:32:55, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2055, decode.loss_grad: 0.0000, loss: 0.2055, grad_norm: 0.0655 2024-01-03 17:25:19,236 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:32:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2061, decode.loss_grad: 0.0000, loss: 0.2061, grad_norm: 0.0642 2024-01-03 17:25:22,084 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:25:22,099 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:32:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2115, decode.loss_grad: 0.0000, loss: 0.2115, grad_norm: 0.0698 2024-01-03 17:25:27,340 - mmseg - INFO - Summary: 2024-01-03 17:25:27,341 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.6576 | 0.9129 | 0.9802 | 0.2123 | 0.6577 | 0.0859 | 0.2486 | 21.565 | 0.1774 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:25:27,342 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:25:27,351 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:25:27,351 - mmseg - INFO - Best abs_rel is 0.2123 at 6400 iter. 2024-01-03 17:25:27,351 - mmseg - INFO - Iter(val) [82] a1: 0.6576, a2: 0.9129, a3: 0.9802, abs_rel: 0.21225516498088837, rmse: 0.6576869487762451, log_10: 0.08585001528263092, rmse_log: 0.24857698380947113, silog: 21.5650, sq_rel: 0.17743049561977386 2024-01-03 17:25:30,183 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:33:08, time: 0.162, data_time: 0.107, memory: 750, decode.loss_depth: 0.2062, decode.loss_grad: 0.0000, loss: 0.2062, grad_norm: 0.0659 2024-01-03 17:25:33,026 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:33:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2056, decode.loss_grad: 0.0000, loss: 0.2056, grad_norm: 0.0641 2024-01-03 17:25:35,854 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:32:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2044, decode.loss_grad: 0.0000, loss: 0.2044, grad_norm: 0.0624 2024-01-03 17:25:38,700 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:32:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2066, decode.loss_grad: 0.0000, loss: 0.2066, grad_norm: 0.0626 2024-01-03 17:25:41,602 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:32:51, time: 0.058, data_time: 0.003, memory: 750, decode.loss_depth: 0.2121, decode.loss_grad: 0.0000, loss: 0.2121, grad_norm: 0.0659 2024-01-03 17:25:44,447 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:32:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2103, decode.loss_grad: 0.0000, loss: 0.2103, grad_norm: 0.0652 2024-01-03 17:25:47,272 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:32:42, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2101, decode.loss_grad: 0.0000, loss: 0.2101, grad_norm: 0.0605 2024-01-03 17:25:50,084 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:32:38, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2028, decode.loss_grad: 0.0000, loss: 0.2028, grad_norm: 0.0616 2024-01-03 17:25:52,937 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:32:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2088, decode.loss_grad: 0.0000, loss: 0.2088, grad_norm: 0.0633 2024-01-03 17:25:55,791 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:32:29, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2063, decode.loss_grad: 0.0000, loss: 0.2063, grad_norm: 0.0612 2024-01-03 17:25:58,609 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:32:25, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2068, decode.loss_grad: 0.0000, loss: 0.2068, grad_norm: 0.0632 2024-01-03 17:26:01,441 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:01,442 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:32:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2049, decode.loss_grad: 0.0000, loss: 0.2049, grad_norm: 0.0598 2024-01-03 17:26:04,427 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:32:17, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.2094, decode.loss_grad: 0.0000, loss: 0.2094, grad_norm: 0.0585 2024-01-03 17:26:07,248 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:32:13, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2060, decode.loss_grad: 0.0000, loss: 0.2060, grad_norm: 0.0600 2024-01-03 17:26:10,084 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:32:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.0575 2024-01-03 17:26:13,102 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:32:05, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.2065, decode.loss_grad: 0.0000, loss: 0.2065, grad_norm: 0.0600 2024-01-03 17:26:15,929 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:32:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2091, decode.loss_grad: 0.0000, loss: 0.2091, grad_norm: 0.0591 2024-01-03 17:26:18,725 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:31:57, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2093, decode.loss_grad: 0.0000, loss: 0.2093, grad_norm: 0.0579 2024-01-03 17:26:21,565 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:31:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2037, decode.loss_grad: 0.0000, loss: 0.2037, grad_norm: 0.0575 2024-01-03 17:26:24,522 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:31:49, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.2045, decode.loss_grad: 0.0000, loss: 0.2045, grad_norm: 0.0574 2024-01-03 17:26:27,357 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:31:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2060, decode.loss_grad: 0.0000, loss: 0.2060, grad_norm: 0.0584 2024-01-03 17:26:30,195 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:31:41, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2040, decode.loss_grad: 0.0000, loss: 0.2040, grad_norm: 0.0599 2024-01-03 17:26:33,037 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:31:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2067, decode.loss_grad: 0.0000, loss: 0.2067, grad_norm: 0.0573 2024-01-03 17:26:38,002 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:31:41, time: 0.099, data_time: 0.044, memory: 750, decode.loss_depth: 0.2021, decode.loss_grad: 0.0000, loss: 0.2021, grad_norm: 0.0566 2024-01-03 17:26:40,846 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:31:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1959, decode.loss_grad: 0.0000, loss: 0.1959, grad_norm: 0.0565 2024-01-03 17:26:43,693 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:31:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2028, decode.loss_grad: 0.0000, loss: 0.2028, grad_norm: 0.0546 2024-01-03 17:26:46,537 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:31:29, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1994, decode.loss_grad: 0.0000, loss: 0.1994, grad_norm: 0.0544 2024-01-03 17:26:49,365 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:31:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2045, decode.loss_grad: 0.0000, loss: 0.2045, grad_norm: 0.0566 2024-01-03 17:26:52,201 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:31:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0537 2024-01-03 17:26:55,126 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:31:18, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2028, decode.loss_grad: 0.0000, loss: 0.2028, grad_norm: 0.0520 2024-01-03 17:26:58,020 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:31:14, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2049, decode.loss_grad: 0.0000, loss: 0.2049, grad_norm: 0.0546 2024-01-03 17:27:00,879 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:27:00,893 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:00,893 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:31:10, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.0552 2024-01-03 17:27:03,740 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:31:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2013, decode.loss_grad: 0.0000, loss: 0.2013, grad_norm: 0.0547 2024-01-03 17:27:06,681 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:31:02, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0513 2024-01-03 17:27:09,509 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:30:58, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2006, decode.loss_grad: 0.0000, loss: 0.2006, grad_norm: 0.0510 2024-01-03 17:27:12,346 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:30:54, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2059, decode.loss_grad: 0.0000, loss: 0.2059, grad_norm: 0.0534 2024-01-03 17:27:15,206 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:30:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2039, decode.loss_grad: 0.0000, loss: 0.2039, grad_norm: 0.0543 2024-01-03 17:27:18,059 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:30:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2047, decode.loss_grad: 0.0000, loss: 0.2047, grad_norm: 0.0548 2024-01-03 17:27:20,891 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:30:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2008, decode.loss_grad: 0.0000, loss: 0.2008, grad_norm: 0.0516 2024-01-03 17:27:23,728 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:30:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0502 2024-01-03 17:27:26,580 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:30:35, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2010, decode.loss_grad: 0.0000, loss: 0.2010, grad_norm: 0.0514 2024-01-03 17:27:29,674 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:30:32, time: 0.062, data_time: 0.002, memory: 750, decode.loss_depth: 0.2029, decode.loss_grad: 0.0000, loss: 0.2029, grad_norm: 0.0515 2024-01-03 17:27:32,513 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:30:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2038, decode.loss_grad: 0.0000, loss: 0.2038, grad_norm: 0.0518 2024-01-03 17:27:35,333 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:30:24, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0500 2024-01-03 17:27:38,235 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:30:21, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2031, decode.loss_grad: 0.0000, loss: 0.2031, grad_norm: 0.0514 2024-01-03 17:27:41,086 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:30:17, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2022, decode.loss_grad: 0.0000, loss: 0.2022, grad_norm: 0.0514 2024-01-03 17:27:43,922 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:30:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2024, decode.loss_grad: 0.0000, loss: 0.2024, grad_norm: 0.0512 2024-01-03 17:27:46,765 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:30:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0494 2024-01-03 17:27:49,753 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:30:06, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1965, decode.loss_grad: 0.0000, loss: 0.1965, grad_norm: 0.0478 2024-01-03 17:27:52,621 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:30:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2003, decode.loss_grad: 0.0000, loss: 0.2003, grad_norm: 0.0488 2024-01-03 17:27:55,447 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:29:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0459 2024-01-03 17:27:58,293 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:58,293 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:29:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1980, decode.loss_grad: 0.0000, loss: 0.1980, grad_norm: 0.0466 2024-01-03 17:28:01,238 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:29:51, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1983, decode.loss_grad: 0.0000, loss: 0.1983, grad_norm: 0.0475 2024-01-03 17:28:06,130 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:29:54, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1979, decode.loss_grad: 0.0000, loss: 0.1979, grad_norm: 0.0465 2024-01-03 17:28:08,975 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:29:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2011, decode.loss_grad: 0.0000, loss: 0.2011, grad_norm: 0.0489 2024-01-03 17:28:11,929 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:29:47, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1951, decode.loss_grad: 0.0000, loss: 0.1951, grad_norm: 0.0484 2024-01-03 17:28:14,794 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:29:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.0482 2024-01-03 17:28:17,617 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:29:40, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.0474 2024-01-03 17:28:20,461 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:29:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.0462 2024-01-03 17:28:23,342 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:29:32, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.2007, decode.loss_grad: 0.0000, loss: 0.2007, grad_norm: 0.0475 2024-01-03 17:28:26,147 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:29:29, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1967, decode.loss_grad: 0.0000, loss: 0.1967, grad_norm: 0.0445 2024-01-03 17:28:28,975 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:29:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1981, decode.loss_grad: 0.0000, loss: 0.1981, grad_norm: 0.0459 2024-01-03 17:28:31,992 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:29:22, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1948, decode.loss_grad: 0.0000, loss: 0.1948, grad_norm: 0.0484 2024-01-03 17:28:34,840 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:28:34,856 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:29:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1985, decode.loss_grad: 0.0000, loss: 0.1985, grad_norm: 0.0439 2024-01-03 17:28:40,068 - mmseg - INFO - Summary: 2024-01-03 17:28:40,068 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.6601 | 0.9135 | 0.9799 | 0.2074 | 0.6591 | 0.0855 | 0.2473 | 21.519 | 0.1738 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:28:40,070 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_6400.pth was removed 2024-01-03 17:28:40,082 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_9600.pth. 2024-01-03 17:28:40,082 - mmseg - INFO - Best abs_rel is 0.2074 at 9600 iter. 2024-01-03 17:28:40,082 - mmseg - INFO - Iter(val) [82] a1: 0.6601, a2: 0.9135, a3: 0.9799, abs_rel: 0.20739297568798065, rmse: 0.6590589284896851, log_10: 0.08549457788467407, rmse_log: 0.2473447620868683, silog: 21.5190, sq_rel: 0.17381493747234344 2024-01-03 17:28:42,882 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:29:30, time: 0.161, data_time: 0.106, memory: 750, decode.loss_depth: 0.2018, decode.loss_grad: 0.0000, loss: 0.2018, grad_norm: 0.0461 2024-01-03 17:28:45,681 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:29:26, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2022, decode.loss_grad: 0.0000, loss: 0.2022, grad_norm: 0.0458 2024-01-03 17:28:48,533 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:29:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1992, decode.loss_grad: 0.0000, loss: 0.1992, grad_norm: 0.0459 2024-01-03 17:28:51,361 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:29:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1990, decode.loss_grad: 0.0000, loss: 0.1990, grad_norm: 0.0466 2024-01-03 17:28:54,205 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:29:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2015, decode.loss_grad: 0.0000, loss: 0.2015, grad_norm: 0.0453 2024-01-03 17:28:57,054 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:29:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0437 2024-01-03 17:28:59,875 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:29:07, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.2000, decode.loss_grad: 0.0000, loss: 0.2000, grad_norm: 0.0446 2024-01-03 17:29:02,712 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:02,712 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:29:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1980, decode.loss_grad: 0.0000, loss: 0.1980, grad_norm: 0.0445 2024-01-03 17:29:05,582 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:29:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2001, decode.loss_grad: 0.0000, loss: 0.2001, grad_norm: 0.0430 2024-01-03 17:29:08,429 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:28:56, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.0436 2024-01-03 17:29:11,281 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:28:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1956, decode.loss_grad: 0.0000, loss: 0.1956, grad_norm: 0.0429 2024-01-03 17:29:14,128 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:28:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1935, decode.loss_grad: 0.0000, loss: 0.1935, grad_norm: 0.0407 2024-01-03 17:29:16,963 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:28:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1986, decode.loss_grad: 0.0000, loss: 0.1986, grad_norm: 0.0440 2024-01-03 17:29:19,802 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:28:41, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1988, decode.loss_grad: 0.0000, loss: 0.1988, grad_norm: 0.0442 2024-01-03 17:29:22,652 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:28:38, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1977, decode.loss_grad: 0.0000, loss: 0.1977, grad_norm: 0.0410 2024-01-03 17:29:25,716 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:28:35, time: 0.061, data_time: 0.002, memory: 750, decode.loss_depth: 0.1944, decode.loss_grad: 0.0000, loss: 0.1944, grad_norm: 0.0441 2024-01-03 17:29:28,553 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:28:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1971, decode.loss_grad: 0.0000, loss: 0.1971, grad_norm: 0.0450 2024-01-03 17:29:31,407 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:28:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1954, decode.loss_grad: 0.0000, loss: 0.1954, grad_norm: 0.0413 2024-01-03 17:29:34,229 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:28:24, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1937, decode.loss_grad: 0.0000, loss: 0.1937, grad_norm: 0.0409 2024-01-03 17:29:39,165 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:28:25, time: 0.099, data_time: 0.043, memory: 750, decode.loss_depth: 0.1959, decode.loss_grad: 0.0000, loss: 0.1959, grad_norm: 0.0398 2024-01-03 17:29:42,028 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:28:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1927, decode.loss_grad: 0.0000, loss: 0.1927, grad_norm: 0.0393 2024-01-03 17:29:44,876 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:28:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.2008, decode.loss_grad: 0.0000, loss: 0.2008, grad_norm: 0.0420 2024-01-03 17:29:47,879 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:28:15, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1958, decode.loss_grad: 0.0000, loss: 0.1958, grad_norm: 0.0411 2024-01-03 17:29:50,733 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:28:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1943, decode.loss_grad: 0.0000, loss: 0.1943, grad_norm: 0.0411 2024-01-03 17:29:53,577 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:28:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1956, decode.loss_grad: 0.0000, loss: 0.1956, grad_norm: 0.0416 2024-01-03 17:29:56,402 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:28:04, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1944, decode.loss_grad: 0.0000, loss: 0.1944, grad_norm: 0.0412 2024-01-03 17:29:59,253 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:28:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.0402 2024-01-03 17:30:02,064 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:02,064 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:27:57, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1905, decode.loss_grad: 0.0000, loss: 0.1905, grad_norm: 0.0418 2024-01-03 17:30:04,911 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:27:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1951, decode.loss_grad: 0.0000, loss: 0.1951, grad_norm: 0.0413 2024-01-03 17:30:07,753 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:27:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1969, decode.loss_grad: 0.0000, loss: 0.1969, grad_norm: 0.0431 2024-01-03 17:30:10,605 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:27:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1926, decode.loss_grad: 0.0000, loss: 0.1926, grad_norm: 0.0379 2024-01-03 17:30:13,427 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:30:13,443 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:27:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1919, decode.loss_grad: 0.0000, loss: 0.1919, grad_norm: 0.0375 2024-01-03 17:30:16,245 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:27:39, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1902, decode.loss_grad: 0.0000, loss: 0.1902, grad_norm: 0.0410 2024-01-03 17:30:19,175 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:27:35, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1970, decode.loss_grad: 0.0000, loss: 0.1970, grad_norm: 0.0392 2024-01-03 17:30:22,008 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:27:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1940, decode.loss_grad: 0.0000, loss: 0.1940, grad_norm: 0.0392 2024-01-03 17:30:24,853 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:27:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0406 2024-01-03 17:30:27,695 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:27:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1959, decode.loss_grad: 0.0000, loss: 0.1959, grad_norm: 0.0388 2024-01-03 17:30:30,550 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:27:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1997, decode.loss_grad: 0.0000, loss: 0.1997, grad_norm: 0.0393 2024-01-03 17:30:33,369 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:27:18, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1923, decode.loss_grad: 0.0000, loss: 0.1923, grad_norm: 0.0390 2024-01-03 17:30:36,180 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:27:14, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1967, decode.loss_grad: 0.0000, loss: 0.1967, grad_norm: 0.0407 2024-01-03 17:30:39,029 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:27:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1957, decode.loss_grad: 0.0000, loss: 0.1957, grad_norm: 0.0391 2024-01-03 17:30:41,895 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:27:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0382 2024-01-03 17:30:44,743 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:27:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1936, decode.loss_grad: 0.0000, loss: 0.1936, grad_norm: 0.0372 2024-01-03 17:30:47,605 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:27:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1951, decode.loss_grad: 0.0000, loss: 0.1951, grad_norm: 0.0395 2024-01-03 17:30:50,551 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:26:57, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1937, decode.loss_grad: 0.0000, loss: 0.1937, grad_norm: 0.0386 2024-01-03 17:30:53,382 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:26:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1972, decode.loss_grad: 0.0000, loss: 0.1972, grad_norm: 0.0374 2024-01-03 17:30:56,224 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:26:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1918, decode.loss_grad: 0.0000, loss: 0.1918, grad_norm: 0.0387 2024-01-03 17:30:59,049 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:59,049 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:26:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1928, decode.loss_grad: 0.0000, loss: 0.1928, grad_norm: 0.0374 2024-01-03 17:31:02,043 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:26:43, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1943, decode.loss_grad: 0.0000, loss: 0.1943, grad_norm: 0.0360 2024-01-03 17:31:04,867 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:26:40, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1975, decode.loss_grad: 0.0000, loss: 0.1975, grad_norm: 0.0382 2024-01-03 17:31:09,815 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:26:41, time: 0.099, data_time: 0.044, memory: 750, decode.loss_depth: 0.1917, decode.loss_grad: 0.0000, loss: 0.1917, grad_norm: 0.0372 2024-01-03 17:31:12,620 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:26:37, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.0389 2024-01-03 17:31:15,441 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:26:34, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1919, decode.loss_grad: 0.0000, loss: 0.1919, grad_norm: 0.0366 2024-01-03 17:31:18,271 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:26:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1935, decode.loss_grad: 0.0000, loss: 0.1935, grad_norm: 0.0369 2024-01-03 17:31:21,101 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:26:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1920, decode.loss_grad: 0.0000, loss: 0.1920, grad_norm: 0.0370 2024-01-03 17:31:23,930 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:26:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1892, decode.loss_grad: 0.0000, loss: 0.1892, grad_norm: 0.0345 2024-01-03 17:31:26,775 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:26:20, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1940, decode.loss_grad: 0.0000, loss: 0.1940, grad_norm: 0.0360 2024-01-03 17:31:29,600 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:26:16, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1914, decode.loss_grad: 0.0000, loss: 0.1914, grad_norm: 0.0359 2024-01-03 17:31:32,440 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:26:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1921, decode.loss_grad: 0.0000, loss: 0.1921, grad_norm: 0.0368 2024-01-03 17:31:35,350 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:26:09, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1906, decode.loss_grad: 0.0000, loss: 0.1906, grad_norm: 0.0351 2024-01-03 17:31:38,186 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:26:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1951, decode.loss_grad: 0.0000, loss: 0.1951, grad_norm: 0.0367 2024-01-03 17:31:41,040 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:26:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.0360 2024-01-03 17:31:43,892 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:25:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1906, decode.loss_grad: 0.0000, loss: 0.1906, grad_norm: 0.0355 2024-01-03 17:31:46,726 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:31:46,740 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:25:56, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1910, decode.loss_grad: 0.0000, loss: 0.1910, grad_norm: 0.0352 2024-01-03 17:31:51,944 - mmseg - INFO - Summary: 2024-01-03 17:31:51,945 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6605 | 0.9155 | 0.9798 | 0.2117 | 0.6614 | 0.0855 | 0.248 | 21.5589 | 0.1819 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:31:51,945 - mmseg - INFO - Iter(val) [82] a1: 0.6605, a2: 0.9155, a3: 0.9798, abs_rel: 0.21168768405914307, rmse: 0.6614150404930115, log_10: 0.08546985685825348, rmse_log: 0.2480379194021225, silog: 21.5589, sq_rel: 0.18194442987442017 2024-01-03 17:31:54,749 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:26:02, time: 0.160, data_time: 0.106, memory: 750, decode.loss_depth: 0.1912, decode.loss_grad: 0.0000, loss: 0.1912, grad_norm: 0.0364 2024-01-03 17:31:57,577 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:25:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1941, decode.loss_grad: 0.0000, loss: 0.1941, grad_norm: 0.0376 2024-01-03 17:32:00,403 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:25:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1897, decode.loss_grad: 0.0000, loss: 0.1897, grad_norm: 0.0360 2024-01-03 17:32:03,234 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:03,234 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:25:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1929, decode.loss_grad: 0.0000, loss: 0.1929, grad_norm: 0.0360 2024-01-03 17:32:06,072 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:25:48, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1899, decode.loss_grad: 0.0000, loss: 0.1899, grad_norm: 0.0343 2024-01-03 17:32:08,912 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:25:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1907, decode.loss_grad: 0.0000, loss: 0.1907, grad_norm: 0.0355 2024-01-03 17:32:11,754 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:25:41, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1909, decode.loss_grad: 0.0000, loss: 0.1909, grad_norm: 0.0336 2024-01-03 17:32:14,583 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:25:38, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1911, decode.loss_grad: 0.0000, loss: 0.1911, grad_norm: 0.0345 2024-01-03 17:32:17,455 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:25:35, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1914, decode.loss_grad: 0.0000, loss: 0.1914, grad_norm: 0.0348 2024-01-03 17:32:20,297 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:25:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1920, decode.loss_grad: 0.0000, loss: 0.1920, grad_norm: 0.0347 2024-01-03 17:32:23,124 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:25:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1952, decode.loss_grad: 0.0000, loss: 0.1952, grad_norm: 0.0357 2024-01-03 17:32:25,944 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:25:24, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1913, decode.loss_grad: 0.0000, loss: 0.1913, grad_norm: 0.0351 2024-01-03 17:32:28,857 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:25:21, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1902, decode.loss_grad: 0.0000, loss: 0.1902, grad_norm: 0.0342 2024-01-03 17:32:31,701 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:25:17, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1897, decode.loss_grad: 0.0000, loss: 0.1897, grad_norm: 0.0346 2024-01-03 17:32:34,519 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:25:14, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1899, decode.loss_grad: 0.0000, loss: 0.1899, grad_norm: 0.0330 2024-01-03 17:32:37,444 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:25:11, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1931, decode.loss_grad: 0.0000, loss: 0.1931, grad_norm: 0.0345 2024-01-03 17:32:42,357 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:25:11, time: 0.098, data_time: 0.044, memory: 750, decode.loss_depth: 0.1858, decode.loss_grad: 0.0000, loss: 0.1858, grad_norm: 0.0318 2024-01-03 17:32:45,199 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:25:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1925, decode.loss_grad: 0.0000, loss: 0.1925, grad_norm: 0.0329 2024-01-03 17:32:48,208 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:25:04, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1888, decode.loss_grad: 0.0000, loss: 0.1888, grad_norm: 0.0342 2024-01-03 17:32:51,025 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:25:01, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1905, decode.loss_grad: 0.0000, loss: 0.1905, grad_norm: 0.0350 2024-01-03 17:32:53,868 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:24:58, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1868, decode.loss_grad: 0.0000, loss: 0.1868, grad_norm: 0.0332 2024-01-03 17:32:56,684 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:24:54, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1880, decode.loss_grad: 0.0000, loss: 0.1880, grad_norm: 0.0330 2024-01-03 17:32:59,501 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:24:51, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1894, decode.loss_grad: 0.0000, loss: 0.1894, grad_norm: 0.0318 2024-01-03 17:33:02,346 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:02,346 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:24:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1879, decode.loss_grad: 0.0000, loss: 0.1879, grad_norm: 0.0330 2024-01-03 17:33:05,196 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:24:44, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1883, decode.loss_grad: 0.0000, loss: 0.1883, grad_norm: 0.0339 2024-01-03 17:33:08,012 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:24:40, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1863, decode.loss_grad: 0.0000, loss: 0.1863, grad_norm: 0.0350 2024-01-03 17:33:10,945 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:24:37, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1878, decode.loss_grad: 0.0000, loss: 0.1878, grad_norm: 0.0343 2024-01-03 17:33:13,797 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:24:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1853, decode.loss_grad: 0.0000, loss: 0.1853, grad_norm: 0.0320 2024-01-03 17:33:16,593 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:24:30, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1870, decode.loss_grad: 0.0000, loss: 0.1870, grad_norm: 0.0326 2024-01-03 17:33:19,418 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:24:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1867, decode.loss_grad: 0.0000, loss: 0.1867, grad_norm: 0.0312 2024-01-03 17:33:22,269 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:24:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1842, decode.loss_grad: 0.0000, loss: 0.1842, grad_norm: 0.0314 2024-01-03 17:33:25,122 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:33:25,136 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:24:20, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1859, decode.loss_grad: 0.0000, loss: 0.1859, grad_norm: 0.0325 2024-01-03 17:33:27,957 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:24:17, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1919, decode.loss_grad: 0.0000, loss: 0.1919, grad_norm: 0.0337 2024-01-03 17:33:30,763 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:24:13, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1873, decode.loss_grad: 0.0000, loss: 0.1873, grad_norm: 0.0326 2024-01-03 17:33:33,580 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:24:10, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1898, decode.loss_grad: 0.0000, loss: 0.1898, grad_norm: 0.0346 2024-01-03 17:33:36,402 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:24:07, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1889, decode.loss_grad: 0.0000, loss: 0.1889, grad_norm: 0.0319 2024-01-03 17:33:39,240 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:24:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1875, decode.loss_grad: 0.0000, loss: 0.1875, grad_norm: 0.0334 2024-01-03 17:33:42,137 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:24:00, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1882, decode.loss_grad: 0.0000, loss: 0.1882, grad_norm: 0.0327 2024-01-03 17:33:44,972 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:23:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1910, decode.loss_grad: 0.0000, loss: 0.1910, grad_norm: 0.0317 2024-01-03 17:33:47,812 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:23:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1906, decode.loss_grad: 0.0000, loss: 0.1906, grad_norm: 0.0341 2024-01-03 17:33:50,664 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:23:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1839, decode.loss_grad: 0.0000, loss: 0.1839, grad_norm: 0.0307 2024-01-03 17:33:53,510 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:23:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1902, decode.loss_grad: 0.0000, loss: 0.1902, grad_norm: 0.0325 2024-01-03 17:33:56,368 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:23:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1865, decode.loss_grad: 0.0000, loss: 0.1865, grad_norm: 0.0317 2024-01-03 17:33:59,214 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:59,214 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:23:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1832, decode.loss_grad: 0.0000, loss: 0.1832, grad_norm: 0.0306 2024-01-03 17:34:02,055 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:23:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1842, decode.loss_grad: 0.0000, loss: 0.1842, grad_norm: 0.0318 2024-01-03 17:34:05,022 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:23:33, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1877, decode.loss_grad: 0.0000, loss: 0.1877, grad_norm: 0.0321 2024-01-03 17:34:09,932 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:23:33, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0319 2024-01-03 17:34:12,774 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:23:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1859, decode.loss_grad: 0.0000, loss: 0.1859, grad_norm: 0.0301 2024-01-03 17:34:15,650 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:23:27, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.0310 2024-01-03 17:34:18,487 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:23:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1819, decode.loss_grad: 0.0000, loss: 0.1819, grad_norm: 0.0317 2024-01-03 17:34:21,297 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:23:20, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1875, decode.loss_grad: 0.0000, loss: 0.1875, grad_norm: 0.0320 2024-01-03 17:34:24,206 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:23:17, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1847, decode.loss_grad: 0.0000, loss: 0.1847, grad_norm: 0.0312 2024-01-03 17:34:27,032 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:23:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0326 2024-01-03 17:34:29,850 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:23:10, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.0304 2024-01-03 17:34:32,669 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:23:07, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1843, decode.loss_grad: 0.0000, loss: 0.1843, grad_norm: 0.0324 2024-01-03 17:34:35,506 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:23:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1849, decode.loss_grad: 0.0000, loss: 0.1849, grad_norm: 0.0299 2024-01-03 17:34:38,360 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:23:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1853, decode.loss_grad: 0.0000, loss: 0.1853, grad_norm: 0.0322 2024-01-03 17:34:41,184 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:22:57, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1855, decode.loss_grad: 0.0000, loss: 0.1855, grad_norm: 0.0322 2024-01-03 17:34:44,007 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:22:53, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.0309 2024-01-03 17:34:46,837 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:22:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1874, decode.loss_grad: 0.0000, loss: 0.1874, grad_norm: 0.0319 2024-01-03 17:34:49,677 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:22:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.0330 2024-01-03 17:34:52,528 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:22:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0315 2024-01-03 17:34:55,367 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:22:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1822, decode.loss_grad: 0.0000, loss: 0.1822, grad_norm: 0.0301 2024-01-03 17:34:58,207 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:34:58,221 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:58,221 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:22:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1863, decode.loss_grad: 0.0000, loss: 0.1863, grad_norm: 0.0306 2024-01-03 17:35:03,428 - mmseg - INFO - Summary: 2024-01-03 17:35:03,429 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.6672 | 0.9168 | 0.981 | 0.2075 | 0.6536 | 0.0843 | 0.2449 | 21.3497 | 0.1755 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:35:03,429 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:03,429 - mmseg - INFO - Iter(val) [82] a1: 0.6672, a2: 0.9168, a3: 0.9810, abs_rel: 0.2075234055519104, rmse: 0.6535854935646057, log_10: 0.08428706228733063, rmse_log: 0.2449321746826172, silog: 21.3497, sq_rel: 0.17553311586380005 2024-01-03 17:35:06,246 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:22:41, time: 0.160, data_time: 0.106, memory: 750, decode.loss_depth: 0.1820, decode.loss_grad: 0.0000, loss: 0.1820, grad_norm: 0.0288 2024-01-03 17:35:09,071 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:22:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1821, decode.loss_grad: 0.0000, loss: 0.1821, grad_norm: 0.0305 2024-01-03 17:35:11,909 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:22:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1847, decode.loss_grad: 0.0000, loss: 0.1847, grad_norm: 0.0312 2024-01-03 17:35:14,761 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:22:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.0307 2024-01-03 17:35:17,627 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:22:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.0298 2024-01-03 17:35:20,453 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:22:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1824, decode.loss_grad: 0.0000, loss: 0.1824, grad_norm: 0.0307 2024-01-03 17:35:23,283 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:22:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1849, decode.loss_grad: 0.0000, loss: 0.1849, grad_norm: 0.0310 2024-01-03 17:35:26,100 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:22:17, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1820, decode.loss_grad: 0.0000, loss: 0.1820, grad_norm: 0.0309 2024-01-03 17:35:28,919 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:22:14, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.0304 2024-01-03 17:35:31,782 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:22:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1879, decode.loss_grad: 0.0000, loss: 0.1879, grad_norm: 0.0322 2024-01-03 17:35:34,635 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:22:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1820, decode.loss_grad: 0.0000, loss: 0.1820, grad_norm: 0.0320 2024-01-03 17:35:37,464 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:22:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1844, decode.loss_grad: 0.0000, loss: 0.1844, grad_norm: 0.0300 2024-01-03 17:35:40,477 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:22:01, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1810, decode.loss_grad: 0.0000, loss: 0.1810, grad_norm: 0.0308 2024-01-03 17:35:45,388 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:22:01, time: 0.098, data_time: 0.044, memory: 750, decode.loss_depth: 0.1800, decode.loss_grad: 0.0000, loss: 0.1800, grad_norm: 0.0303 2024-01-03 17:35:48,235 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:21:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0297 2024-01-03 17:35:51,089 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:21:54, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1823, decode.loss_grad: 0.0000, loss: 0.1823, grad_norm: 0.0305 2024-01-03 17:35:53,912 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:21:51, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.0304 2024-01-03 17:35:56,746 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:21:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1853, decode.loss_grad: 0.0000, loss: 0.1853, grad_norm: 0.0303 2024-01-03 17:35:59,588 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:21:44, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1777, decode.loss_grad: 0.0000, loss: 0.1777, grad_norm: 0.0288 2024-01-03 17:36:02,428 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:02,428 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:21:41, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1806, decode.loss_grad: 0.0000, loss: 0.1806, grad_norm: 0.0306 2024-01-03 17:36:05,281 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:21:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0290 2024-01-03 17:36:08,121 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:21:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.0300 2024-01-03 17:36:10,949 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:21:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0303 2024-01-03 17:36:13,801 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:21:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.0317 2024-01-03 17:36:16,614 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:21:24, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1833, decode.loss_grad: 0.0000, loss: 0.1833, grad_norm: 0.0315 2024-01-03 17:36:19,458 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:21:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0299 2024-01-03 17:36:22,309 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:21:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1810, decode.loss_grad: 0.0000, loss: 0.1810, grad_norm: 0.0299 2024-01-03 17:36:25,175 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:21:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1801, decode.loss_grad: 0.0000, loss: 0.1801, grad_norm: 0.0290 2024-01-03 17:36:28,027 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:21:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1833, decode.loss_grad: 0.0000, loss: 0.1833, grad_norm: 0.0314 2024-01-03 17:36:30,858 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:21:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1793, decode.loss_grad: 0.0000, loss: 0.1793, grad_norm: 0.0289 2024-01-03 17:36:33,700 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:21:05, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1817, decode.loss_grad: 0.0000, loss: 0.1817, grad_norm: 0.0282 2024-01-03 17:36:36,542 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:36:36,555 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:21:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1838, decode.loss_grad: 0.0000, loss: 0.1838, grad_norm: 0.0291 2024-01-03 17:36:39,377 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:20:58, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1827, decode.loss_grad: 0.0000, loss: 0.1827, grad_norm: 0.0310 2024-01-03 17:36:42,225 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:20:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1801, decode.loss_grad: 0.0000, loss: 0.1801, grad_norm: 0.0300 2024-01-03 17:36:45,193 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:20:52, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1837, decode.loss_grad: 0.0000, loss: 0.1837, grad_norm: 0.0297 2024-01-03 17:36:48,013 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:20:49, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1826, decode.loss_grad: 0.0000, loss: 0.1826, grad_norm: 0.0303 2024-01-03 17:36:50,842 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:20:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1790, decode.loss_grad: 0.0000, loss: 0.1790, grad_norm: 0.0292 2024-01-03 17:36:53,685 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:20:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1800, decode.loss_grad: 0.0000, loss: 0.1800, grad_norm: 0.0290 2024-01-03 17:36:56,536 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:20:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1834, decode.loss_grad: 0.0000, loss: 0.1834, grad_norm: 0.0308 2024-01-03 17:36:59,382 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:59,382 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:20:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1797, decode.loss_grad: 0.0000, loss: 0.1797, grad_norm: 0.0295 2024-01-03 17:37:02,221 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:20:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.0289 2024-01-03 17:37:05,041 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:20:29, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1773, decode.loss_grad: 0.0000, loss: 0.1773, grad_norm: 0.0286 2024-01-03 17:37:07,898 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:20:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1797, decode.loss_grad: 0.0000, loss: 0.1797, grad_norm: 0.0303 2024-01-03 17:37:12,810 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:20:25, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.0301 2024-01-03 17:37:15,622 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:20:22, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0298 2024-01-03 17:37:18,449 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:20:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0297 2024-01-03 17:37:21,285 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:20:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0284 2024-01-03 17:37:24,130 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:20:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.0298 2024-01-03 17:37:27,030 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:20:09, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0297 2024-01-03 17:37:29,876 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:20:05, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0282 2024-01-03 17:37:32,729 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:20:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0294 2024-01-03 17:37:35,562 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:19:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1744, decode.loss_grad: 0.0000, loss: 0.1744, grad_norm: 0.0291 2024-01-03 17:37:38,451 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:19:56, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0311 2024-01-03 17:37:41,282 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:19:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0303 2024-01-03 17:37:44,116 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:19:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1794, decode.loss_grad: 0.0000, loss: 0.1794, grad_norm: 0.0298 2024-01-03 17:37:46,939 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:19:46, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1807, decode.loss_grad: 0.0000, loss: 0.1807, grad_norm: 0.0292 2024-01-03 17:37:49,785 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:19:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1813, decode.loss_grad: 0.0000, loss: 0.1813, grad_norm: 0.0300 2024-01-03 17:37:52,622 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:19:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.0296 2024-01-03 17:37:55,432 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:19:36, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1803, decode.loss_grad: 0.0000, loss: 0.1803, grad_norm: 0.0303 2024-01-03 17:37:58,377 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:58,377 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:19:33, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1812, decode.loss_grad: 0.0000, loss: 0.1812, grad_norm: 0.0298 2024-01-03 17:38:01,197 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:19:30, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.0298 2024-01-03 17:38:04,048 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:19:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0298 2024-01-03 17:38:06,874 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:19:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1765, decode.loss_grad: 0.0000, loss: 0.1765, grad_norm: 0.0293 2024-01-03 17:38:09,842 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:38:09,858 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:19:21, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0286 2024-01-03 17:38:15,066 - mmseg - INFO - Summary: 2024-01-03 17:38:15,066 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.6652 | 0.9161 | 0.9809 | 0.201 | 0.6571 | 0.0846 | 0.2451 | 21.303 | 0.1688 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:38:15,068 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_9600.pth was removed 2024-01-03 17:38:15,078 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_19200.pth. 2024-01-03 17:38:15,078 - mmseg - INFO - Best abs_rel is 0.2010 at 19200 iter. 2024-01-03 17:38:15,078 - mmseg - INFO - Iter(val) [82] a1: 0.6652, a2: 0.9161, a3: 0.9809, abs_rel: 0.20103290677070618, rmse: 0.6570777297019958, log_10: 0.08455108106136322, rmse_log: 0.24509721994400024, silog: 21.3030, sq_rel: 0.16877397894859314 2024-01-03 17:38:17,892 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:19:23, time: 0.161, data_time: 0.106, memory: 750, decode.loss_depth: 0.1766, decode.loss_grad: 0.0000, loss: 0.1766, grad_norm: 0.0295 2024-01-03 17:38:20,861 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:19:19, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1781, decode.loss_grad: 0.0000, loss: 0.1781, grad_norm: 0.0305 2024-01-03 17:38:23,706 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:19:16, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.0294 2024-01-03 17:38:26,539 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:19:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1785, decode.loss_grad: 0.0000, loss: 0.1785, grad_norm: 0.0294 2024-01-03 17:38:29,372 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:19:10, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1816, decode.loss_grad: 0.0000, loss: 0.1816, grad_norm: 0.0298 2024-01-03 17:38:32,238 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:19:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0283 2024-01-03 17:38:35,087 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:19:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1786, decode.loss_grad: 0.0000, loss: 0.1786, grad_norm: 0.0296 2024-01-03 17:38:37,915 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:19:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1792, decode.loss_grad: 0.0000, loss: 0.1792, grad_norm: 0.0307 2024-01-03 17:38:40,743 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:18:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1770, decode.loss_grad: 0.0000, loss: 0.1770, grad_norm: 0.0300 2024-01-03 17:38:45,668 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:18:56, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0292 2024-01-03 17:38:48,486 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:18:52, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1768, decode.loss_grad: 0.0000, loss: 0.1768, grad_norm: 0.0287 2024-01-03 17:38:51,394 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:18:49, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1752, decode.loss_grad: 0.0000, loss: 0.1752, grad_norm: 0.0275 2024-01-03 17:38:54,262 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:18:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0294 2024-01-03 17:38:57,100 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:18:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1814, decode.loss_grad: 0.0000, loss: 0.1814, grad_norm: 0.0285 2024-01-03 17:38:59,926 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:18:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0286 2024-01-03 17:39:02,745 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:02,746 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:18:36, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0288 2024-01-03 17:39:05,582 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:18:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.0293 2024-01-03 17:39:08,432 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:18:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1773, decode.loss_grad: 0.0000, loss: 0.1773, grad_norm: 0.0295 2024-01-03 17:39:11,259 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:18:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1760, decode.loss_grad: 0.0000, loss: 0.1760, grad_norm: 0.0288 2024-01-03 17:39:14,104 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:18:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1772, decode.loss_grad: 0.0000, loss: 0.1772, grad_norm: 0.0280 2024-01-03 17:39:16,942 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:18:20, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0281 2024-01-03 17:39:19,765 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:18:17, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1752, decode.loss_grad: 0.0000, loss: 0.1752, grad_norm: 0.0289 2024-01-03 17:39:22,586 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:18:14, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0284 2024-01-03 17:39:25,566 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:18:11, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1776, decode.loss_grad: 0.0000, loss: 0.1776, grad_norm: 0.0283 2024-01-03 17:39:28,414 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:18:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1825, decode.loss_grad: 0.0000, loss: 0.1825, grad_norm: 0.0298 2024-01-03 17:39:31,216 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:18:04, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1773, decode.loss_grad: 0.0000, loss: 0.1773, grad_norm: 0.0293 2024-01-03 17:39:34,077 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:18:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1756, decode.loss_grad: 0.0000, loss: 0.1756, grad_norm: 0.0293 2024-01-03 17:39:36,945 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:17:58, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0290 2024-01-03 17:39:39,758 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:17:55, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0278 2024-01-03 17:39:42,578 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:17:52, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0291 2024-01-03 17:39:45,489 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:17:49, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0282 2024-01-03 17:39:48,341 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:39:48,354 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:17:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1780, decode.loss_grad: 0.0000, loss: 0.1780, grad_norm: 0.0288 2024-01-03 17:39:51,197 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:17:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0290 2024-01-03 17:39:54,060 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:17:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0288 2024-01-03 17:39:56,972 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:17:36, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1739, decode.loss_grad: 0.0000, loss: 0.1739, grad_norm: 0.0288 2024-01-03 17:39:59,826 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:59,826 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:17:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0291 2024-01-03 17:40:02,655 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:17:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.0294 2024-01-03 17:40:05,485 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:17:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1798, decode.loss_grad: 0.0000, loss: 0.1798, grad_norm: 0.0297 2024-01-03 17:40:08,405 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:17:23, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1736, decode.loss_grad: 0.0000, loss: 0.1736, grad_norm: 0.0283 2024-01-03 17:40:13,309 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:17:22, time: 0.098, data_time: 0.044, memory: 750, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0278 2024-01-03 17:40:16,148 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:17:19, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1723, decode.loss_grad: 0.0000, loss: 0.1723, grad_norm: 0.0276 2024-01-03 17:40:18,989 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:17:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1775, decode.loss_grad: 0.0000, loss: 0.1775, grad_norm: 0.0294 2024-01-03 17:40:21,815 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:17:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0300 2024-01-03 17:40:24,639 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:17:09, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.0287 2024-01-03 17:40:27,479 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:17:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.0287 2024-01-03 17:40:30,302 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:17:03, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.0290 2024-01-03 17:40:33,127 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:16:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0276 2024-01-03 17:40:35,957 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:16:56, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0291 2024-01-03 17:40:38,917 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:16:53, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1764, decode.loss_grad: 0.0000, loss: 0.1764, grad_norm: 0.0295 2024-01-03 17:40:41,763 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:16:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.0287 2024-01-03 17:40:44,600 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:16:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0277 2024-01-03 17:40:47,420 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:16:44, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0291 2024-01-03 17:40:50,434 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:16:41, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0286 2024-01-03 17:40:53,261 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:16:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.0289 2024-01-03 17:40:56,091 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:16:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0284 2024-01-03 17:40:58,923 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:58,923 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:16:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0271 2024-01-03 17:41:01,857 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:16:28, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.0288 2024-01-03 17:41:04,704 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:16:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1757, decode.loss_grad: 0.0000, loss: 0.1757, grad_norm: 0.0295 2024-01-03 17:41:07,539 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:16:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1734, decode.loss_grad: 0.0000, loss: 0.1734, grad_norm: 0.0282 2024-01-03 17:41:10,401 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:16:19, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1759, decode.loss_grad: 0.0000, loss: 0.1759, grad_norm: 0.0287 2024-01-03 17:41:13,223 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:16:15, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1727, decode.loss_grad: 0.0000, loss: 0.1727, grad_norm: 0.0285 2024-01-03 17:41:16,044 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:16:12, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1750, decode.loss_grad: 0.0000, loss: 0.1750, grad_norm: 0.0274 2024-01-03 17:41:18,908 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:16:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0289 2024-01-03 17:41:21,790 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:41:21,807 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:16:06, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.0291 2024-01-03 17:41:27,026 - mmseg - INFO - Summary: 2024-01-03 17:41:27,026 - mmseg - INFO - +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.671 | 0.9193 | 0.9826 | 0.1985 | 0.6494 | 0.0835 | 0.2422 | 21.2664 | 0.1641 | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:41:27,028 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/eva02_base_patch16_clip_224.merged2b/best_abs_rel_iter_19200.pth was removed 2024-01-03 17:41:27,039 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 17:41:27,039 - mmseg - INFO - Best abs_rel is 0.1985 at 22400 iter. 2024-01-03 17:41:27,039 - mmseg - INFO - Iter(val) [82] a1: 0.6710, a2: 0.9193, a3: 0.9826, abs_rel: 0.19851772487163544, rmse: 0.6494436264038086, log_10: 0.08345157653093338, rmse_log: 0.242204949259758, silog: 21.2664, sq_rel: 0.16405263543128967 2024-01-03 17:41:29,877 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:16:07, time: 0.161, data_time: 0.107, memory: 750, decode.loss_depth: 0.1758, decode.loss_grad: 0.0000, loss: 0.1758, grad_norm: 0.0290 2024-01-03 17:41:32,724 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:16:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.0293 2024-01-03 17:41:35,559 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:16:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1731, decode.loss_grad: 0.0000, loss: 0.1731, grad_norm: 0.0285 2024-01-03 17:41:38,421 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:15:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0283 2024-01-03 17:41:41,241 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:15:54, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1741, decode.loss_grad: 0.0000, loss: 0.1741, grad_norm: 0.0288 2024-01-03 17:41:44,184 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:15:51, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0284 2024-01-03 17:41:49,096 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:15:49, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0288 2024-01-03 17:41:51,943 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:15:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1751, decode.loss_grad: 0.0000, loss: 0.1751, grad_norm: 0.0280 2024-01-03 17:41:54,892 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:15:43, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0278 2024-01-03 17:41:57,727 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:15:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0273 2024-01-03 17:42:00,589 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:15:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0287 2024-01-03 17:42:03,420 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:03,420 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:15:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1735, decode.loss_grad: 0.0000, loss: 0.1735, grad_norm: 0.0282 2024-01-03 17:42:06,366 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:15:30, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1757, decode.loss_grad: 0.0000, loss: 0.1757, grad_norm: 0.0291 2024-01-03 17:42:09,204 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:15:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.0292 2024-01-03 17:42:12,039 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:15:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0288 2024-01-03 17:42:14,862 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:15:21, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.0275 2024-01-03 17:42:17,710 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:15:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.0291 2024-01-03 17:42:20,546 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:15:14, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1767, decode.loss_grad: 0.0000, loss: 0.1767, grad_norm: 0.0293 2024-01-03 17:42:23,391 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:15:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1726, decode.loss_grad: 0.0000, loss: 0.1726, grad_norm: 0.0276 2024-01-03 17:42:26,313 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:15:08, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0275 2024-01-03 17:42:29,142 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:15:05, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1736, decode.loss_grad: 0.0000, loss: 0.1736, grad_norm: 0.0288 2024-01-03 17:42:31,984 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:15:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0282 2024-01-03 17:42:34,823 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:14:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0297 2024-01-03 17:42:37,664 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:14:56, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0286 2024-01-03 17:42:40,497 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:14:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0284 2024-01-03 17:42:43,325 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:14:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1728, decode.loss_grad: 0.0000, loss: 0.1728, grad_norm: 0.0281 2024-01-03 17:42:46,165 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:14:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0281 2024-01-03 17:42:48,983 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:14:43, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0261 2024-01-03 17:42:51,840 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:14:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0276 2024-01-03 17:42:54,674 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:14:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1714, decode.loss_grad: 0.0000, loss: 0.1714, grad_norm: 0.0284 2024-01-03 17:42:57,678 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:14:34, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.0266 2024-01-03 17:43:00,543 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:43:00,557 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:00,557 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:14:31, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1752, decode.loss_grad: 0.0000, loss: 0.1752, grad_norm: 0.0288 2024-01-03 17:43:03,397 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:14:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.0279 2024-01-03 17:43:06,235 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:14:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1748, decode.loss_grad: 0.0000, loss: 0.1748, grad_norm: 0.0285 2024-01-03 17:43:09,152 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:14:21, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1732, decode.loss_grad: 0.0000, loss: 0.1732, grad_norm: 0.0283 2024-01-03 17:43:12,004 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:14:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1729, decode.loss_grad: 0.0000, loss: 0.1729, grad_norm: 0.0286 2024-01-03 17:43:16,912 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:14:16, time: 0.098, data_time: 0.044, memory: 750, decode.loss_depth: 0.1711, decode.loss_grad: 0.0000, loss: 0.1711, grad_norm: 0.0278 2024-01-03 17:43:19,749 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:14:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1713, decode.loss_grad: 0.0000, loss: 0.1713, grad_norm: 0.0266 2024-01-03 17:43:22,567 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:14:10, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1723, decode.loss_grad: 0.0000, loss: 0.1723, grad_norm: 0.0271 2024-01-03 17:43:25,412 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:14:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0277 2024-01-03 17:43:28,244 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:14:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0277 2024-01-03 17:43:31,187 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:14:01, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1724, decode.loss_grad: 0.0000, loss: 0.1724, grad_norm: 0.0281 2024-01-03 17:43:34,005 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:13:57, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1729, decode.loss_grad: 0.0000, loss: 0.1729, grad_norm: 0.0285 2024-01-03 17:43:36,843 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:13:54, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0286 2024-01-03 17:43:39,693 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:13:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.0281 2024-01-03 17:43:42,540 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:13:48, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0275 2024-01-03 17:43:45,352 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:13:45, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1744, decode.loss_grad: 0.0000, loss: 0.1744, grad_norm: 0.0274 2024-01-03 17:43:48,178 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:13:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0280 2024-01-03 17:43:51,009 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:13:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1754, decode.loss_grad: 0.0000, loss: 0.1754, grad_norm: 0.0283 2024-01-03 17:43:53,904 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:13:36, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1715, decode.loss_grad: 0.0000, loss: 0.1715, grad_norm: 0.0283 2024-01-03 17:43:56,746 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:13:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1716, decode.loss_grad: 0.0000, loss: 0.1716, grad_norm: 0.0281 2024-01-03 17:43:59,568 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:59,568 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:13:29, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0272 2024-01-03 17:44:02,490 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:13:26, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0280 2024-01-03 17:44:05,332 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:13:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0294 2024-01-03 17:44:08,144 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:13:20, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0291 2024-01-03 17:44:10,999 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:13:17, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0282 2024-01-03 17:44:13,830 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:13:14, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0280 2024-01-03 17:44:16,645 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:13:11, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0278 2024-01-03 17:44:19,503 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:13:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1670, decode.loss_grad: 0.0000, loss: 0.1670, grad_norm: 0.0283 2024-01-03 17:44:22,350 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:13:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0287 2024-01-03 17:44:25,297 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:13:01, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.0291 2024-01-03 17:44:28,119 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:12:58, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0276 2024-01-03 17:44:30,964 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:12:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1697, decode.loss_grad: 0.0000, loss: 0.1697, grad_norm: 0.0281 2024-01-03 17:44:33,829 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:44:33,845 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:12:52, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1725, decode.loss_grad: 0.0000, loss: 0.1725, grad_norm: 0.0287 2024-01-03 17:44:39,061 - mmseg - INFO - Summary: 2024-01-03 17:44:39,062 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6714 | 0.9193 | 0.9823 | 0.2015 | 0.6478 | 0.0834 | 0.2422 | 21.2169 | 0.1668 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:44:39,062 - mmseg - INFO - Iter(val) [82] a1: 0.6714, a2: 0.9193, a3: 0.9823, abs_rel: 0.20147766172885895, rmse: 0.6477845311164856, log_10: 0.08340192586183548, rmse_log: 0.2422306388616562, silog: 21.2169, sq_rel: 0.16683046519756317 2024-01-03 17:44:41,882 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:12:52, time: 0.161, data_time: 0.107, memory: 750, decode.loss_depth: 0.1700, decode.loss_grad: 0.0000, loss: 0.1700, grad_norm: 0.0290 2024-01-03 17:44:44,843 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:12:48, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1737, decode.loss_grad: 0.0000, loss: 0.1737, grad_norm: 0.0293 2024-01-03 17:44:49,830 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:12:46, time: 0.100, data_time: 0.044, memory: 750, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0285 2024-01-03 17:44:52,645 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:12:43, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.0280 2024-01-03 17:44:55,478 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:12:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1670, decode.loss_grad: 0.0000, loss: 0.1670, grad_norm: 0.0261 2024-01-03 17:44:58,333 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:12:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0277 2024-01-03 17:45:01,159 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:12:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0280 2024-01-03 17:45:04,008 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:04,008 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:12:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1706, decode.loss_grad: 0.0000, loss: 0.1706, grad_norm: 0.0282 2024-01-03 17:45:06,889 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:12:28, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0271 2024-01-03 17:45:09,703 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:12:25, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.0268 2024-01-03 17:45:12,528 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:12:21, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0277 2024-01-03 17:45:15,372 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:12:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.0284 2024-01-03 17:45:18,212 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:12:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0278 2024-01-03 17:45:21,029 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:12:12, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0272 2024-01-03 17:45:23,828 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:12:09, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0284 2024-01-03 17:45:26,663 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:12:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0284 2024-01-03 17:45:29,609 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:12:03, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0284 2024-01-03 17:45:32,439 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:12:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1682, decode.loss_grad: 0.0000, loss: 0.1682, grad_norm: 0.0269 2024-01-03 17:45:35,261 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:11:57, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1712, decode.loss_grad: 0.0000, loss: 0.1712, grad_norm: 0.0282 2024-01-03 17:45:38,118 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:11:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0274 2024-01-03 17:45:40,971 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:11:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1720, decode.loss_grad: 0.0000, loss: 0.1720, grad_norm: 0.0286 2024-01-03 17:45:43,800 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:11:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1676, decode.loss_grad: 0.0000, loss: 0.1676, grad_norm: 0.0287 2024-01-03 17:45:46,651 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:11:44, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0282 2024-01-03 17:45:49,604 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:11:41, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0285 2024-01-03 17:45:52,423 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:11:38, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1719, decode.loss_grad: 0.0000, loss: 0.1719, grad_norm: 0.0286 2024-01-03 17:45:55,277 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:11:35, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0286 2024-01-03 17:45:58,108 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:11:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1718, decode.loss_grad: 0.0000, loss: 0.1718, grad_norm: 0.0285 2024-01-03 17:46:00,998 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:00,998 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:11:29, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1687, decode.loss_grad: 0.0000, loss: 0.1687, grad_norm: 0.0282 2024-01-03 17:46:03,842 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:11:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0276 2024-01-03 17:46:06,679 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:11:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0279 2024-01-03 17:46:09,547 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:11:19, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0275 2024-01-03 17:46:12,457 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:46:12,470 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:11:16, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0269 2024-01-03 17:46:15,289 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:11:13, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0275 2024-01-03 17:46:20,177 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:11:11, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0280 2024-01-03 17:46:23,003 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:11:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1698, decode.loss_grad: 0.0000, loss: 0.1698, grad_norm: 0.0281 2024-01-03 17:46:25,852 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:11:05, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.0271 2024-01-03 17:46:28,700 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:11:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.0273 2024-01-03 17:46:31,517 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:10:59, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0275 2024-01-03 17:46:34,348 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:10:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1672, decode.loss_grad: 0.0000, loss: 0.1672, grad_norm: 0.0271 2024-01-03 17:46:37,175 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:10:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0277 2024-01-03 17:46:40,000 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:10:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0284 2024-01-03 17:46:42,916 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:10:46, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1645, decode.loss_grad: 0.0000, loss: 0.1645, grad_norm: 0.0282 2024-01-03 17:46:45,765 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:10:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0288 2024-01-03 17:46:48,597 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:10:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0282 2024-01-03 17:46:51,481 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:10:37, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1674, decode.loss_grad: 0.0000, loss: 0.1674, grad_norm: 0.0277 2024-01-03 17:46:54,340 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:10:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0274 2024-01-03 17:46:57,173 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:10:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0287 2024-01-03 17:47:00,007 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:47:00,008 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:10:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0270 2024-01-03 17:47:02,845 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:10:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1717, decode.loss_grad: 0.0000, loss: 0.1717, grad_norm: 0.0284 2024-01-03 17:47:05,739 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:10:22, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1692, decode.loss_grad: 0.0000, loss: 0.1692, grad_norm: 0.0278 2024-01-03 17:47:08,582 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:10:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0269 2024-01-03 17:47:11,414 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:10:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0279 2024-01-03 17:47:14,240 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:10:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0274 2024-01-03 17:47:17,073 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:10:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0278 2024-01-03 17:47:19,918 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:10:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1710, decode.loss_grad: 0.0000, loss: 0.1710, grad_norm: 0.0283 2024-01-03 17:47:22,773 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:10:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0283 2024-01-03 17:47:25,613 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:10:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1708, decode.loss_grad: 0.0000, loss: 0.1708, grad_norm: 0.0284 2024-01-03 17:47:28,473 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:09:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0280 2024-01-03 17:47:31,285 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:09:54, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0274 2024-01-03 17:47:34,111 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:09:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.0267 2024-01-03 17:47:37,156 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:09:48, time: 0.061, data_time: 0.002, memory: 750, decode.loss_depth: 0.1694, decode.loss_grad: 0.0000, loss: 0.1694, grad_norm: 0.0274 2024-01-03 17:47:40,001 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:09:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1722, decode.loss_grad: 0.0000, loss: 0.1722, grad_norm: 0.0285 2024-01-03 17:47:42,823 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:09:42, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1682, decode.loss_grad: 0.0000, loss: 0.1682, grad_norm: 0.0283 2024-01-03 17:47:47,731 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:47:47,747 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:09:39, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1671, decode.loss_grad: 0.0000, loss: 0.1671, grad_norm: 0.0278 2024-01-03 17:47:52,970 - mmseg - INFO - Summary: 2024-01-03 17:47:52,970 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6755 | 0.9208 | 0.9824 | 0.2024 | 0.6443 | 0.0828 | 0.2408 | 21.1156 | 0.168 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:47:52,970 - mmseg - INFO - Iter(val) [82] a1: 0.6755, a2: 0.9208, a3: 0.9824, abs_rel: 0.20241978764533997, rmse: 0.6443015933036804, log_10: 0.08277292549610138, rmse_log: 0.24082417786121368, silog: 21.1156, sq_rel: 0.16803927719593048 2024-01-03 17:47:55,806 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:09:38, time: 0.161, data_time: 0.107, memory: 750, decode.loss_depth: 0.1707, decode.loss_grad: 0.0000, loss: 0.1707, grad_norm: 0.0282 2024-01-03 17:47:58,736 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:09:35, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0274 2024-01-03 17:48:01,574 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:09:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1703, decode.loss_grad: 0.0000, loss: 0.1703, grad_norm: 0.0274 2024-01-03 17:48:04,449 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:48:04,449 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:09:29, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0265 2024-01-03 17:48:07,299 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:09:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0279 2024-01-03 17:48:10,149 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:09:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.0268 2024-01-03 17:48:12,984 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:09:19, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0267 2024-01-03 17:48:15,824 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:09:16, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1693, decode.loss_grad: 0.0000, loss: 0.1693, grad_norm: 0.0281 2024-01-03 17:48:18,729 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:09:13, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.0275 2024-01-03 17:48:21,530 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:09:10, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0276 2024-01-03 17:48:24,385 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:09:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1695, decode.loss_grad: 0.0000, loss: 0.1695, grad_norm: 0.0292 2024-01-03 17:48:27,235 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:09:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0273 2024-01-03 17:48:30,099 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:09:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0278 2024-01-03 17:48:32,923 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:58, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1639, decode.loss_grad: 0.0000, loss: 0.1639, grad_norm: 0.0266 2024-01-03 17:48:35,766 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1693, decode.loss_grad: 0.0000, loss: 0.1693, grad_norm: 0.0279 2024-01-03 17:48:38,579 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:08:52, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0272 2024-01-03 17:48:41,409 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:08:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0262 2024-01-03 17:48:44,249 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:08:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1660, decode.loss_grad: 0.0000, loss: 0.1660, grad_norm: 0.0277 2024-01-03 17:48:47,101 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:08:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0265 2024-01-03 17:48:49,911 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:08:39, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0288 2024-01-03 17:48:52,768 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:08:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0269 2024-01-03 17:48:55,621 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:08:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0264 2024-01-03 17:48:58,467 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:08:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1675, decode.loss_grad: 0.0000, loss: 0.1675, grad_norm: 0.0278 2024-01-03 17:49:01,340 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:49:01,340 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:08:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0274 2024-01-03 17:49:04,173 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:08:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.0267 2024-01-03 17:49:06,956 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:08:21, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0261 2024-01-03 17:49:09,788 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:08:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0277 2024-01-03 17:49:12,690 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:08:15, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1680, decode.loss_grad: 0.0000, loss: 0.1680, grad_norm: 0.0274 2024-01-03 17:49:15,544 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:08:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0261 2024-01-03 17:49:20,468 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:08:09, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0269 2024-01-03 17:49:23,327 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:08:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0276 2024-01-03 17:49:26,168 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:49:26,180 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:08:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0274 2024-01-03 17:49:29,014 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:08:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0271 2024-01-03 17:49:31,856 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1660, decode.loss_grad: 0.0000, loss: 0.1660, grad_norm: 0.0277 2024-01-03 17:49:34,741 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:54, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0275 2024-01-03 17:49:37,595 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1672, decode.loss_grad: 0.0000, loss: 0.1672, grad_norm: 0.0268 2024-01-03 17:49:40,443 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:48, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0279 2024-01-03 17:49:43,387 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:07:45, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.0269 2024-01-03 17:49:46,260 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0263 2024-01-03 17:49:49,108 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:07:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1667, decode.loss_grad: 0.0000, loss: 0.1667, grad_norm: 0.0267 2024-01-03 17:49:51,949 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:07:35, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1593, decode.loss_grad: 0.0000, loss: 0.1593, grad_norm: 0.0265 2024-01-03 17:49:54,791 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:07:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1691, decode.loss_grad: 0.0000, loss: 0.1691, grad_norm: 0.0267 2024-01-03 17:49:57,598 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:07:29, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0269 2024-01-03 17:50:00,404 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:50:00,404 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:07:26, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1699, decode.loss_grad: 0.0000, loss: 0.1699, grad_norm: 0.0276 2024-01-03 17:50:03,233 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:07:23, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1653, decode.loss_grad: 0.0000, loss: 0.1653, grad_norm: 0.0278 2024-01-03 17:50:06,051 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:07:20, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0268 2024-01-03 17:50:08,883 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:07:17, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0274 2024-01-03 17:50:11,734 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:07:14, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0281 2024-01-03 17:50:14,571 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:07:11, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0270 2024-01-03 17:50:17,421 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:07:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0259 2024-01-03 17:50:20,254 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:07:05, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1676, decode.loss_grad: 0.0000, loss: 0.1676, grad_norm: 0.0271 2024-01-03 17:50:23,085 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:07:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0268 2024-01-03 17:50:26,002 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:59, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0273 2024-01-03 17:50:28,862 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:56, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0269 2024-01-03 17:50:31,707 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0259 2024-01-03 17:50:34,539 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0272 2024-01-03 17:50:37,399 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:47, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1678, decode.loss_grad: 0.0000, loss: 0.1678, grad_norm: 0.0270 2024-01-03 17:50:40,238 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:44, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.0264 2024-01-03 17:50:43,102 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0267 2024-01-03 17:50:48,014 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:38, time: 0.098, data_time: 0.043, memory: 750, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0277 2024-01-03 17:50:50,873 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:06:35, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1622, decode.loss_grad: 0.0000, loss: 0.1622, grad_norm: 0.0272 2024-01-03 17:50:53,700 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:06:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0267 2024-01-03 17:50:56,536 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:06:29, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0269 2024-01-03 17:50:59,350 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:50:59,364 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:50:59,364 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:06:26, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1672, decode.loss_grad: 0.0000, loss: 0.1672, grad_norm: 0.0269 2024-01-03 17:51:04,584 - mmseg - INFO - Summary: 2024-01-03 17:51:04,585 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6738 | 0.9196 | 0.9818 | 0.2025 | 0.6456 | 0.0832 | 0.2419 | 21.1498 | 0.1681 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:51:04,585 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:51:04,585 - mmseg - INFO - Iter(val) [82] a1: 0.6738, a2: 0.9196, a3: 0.9818, abs_rel: 0.20254933834075928, rmse: 0.6456396579742432, log_10: 0.08319131284952164, rmse_log: 0.24186941981315613, silog: 21.1498, sq_rel: 0.16805271804332733 2024-01-03 17:51:07,429 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:24, time: 0.161, data_time: 0.106, memory: 750, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.0288 2024-01-03 17:51:10,257 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1693, decode.loss_grad: 0.0000, loss: 0.1693, grad_norm: 0.0268 2024-01-03 17:51:13,098 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:17, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0263 2024-01-03 17:51:15,960 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:06:14, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0264 2024-01-03 17:51:18,777 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:06:11, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0273 2024-01-03 17:51:21,647 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:06:08, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0269 2024-01-03 17:51:24,488 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:06:05, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1639, decode.loss_grad: 0.0000, loss: 0.1639, grad_norm: 0.0271 2024-01-03 17:51:27,337 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:06:02, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0276 2024-01-03 17:51:30,173 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0267 2024-01-03 17:51:33,012 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:56, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0259 2024-01-03 17:51:35,840 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:53, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1665, decode.loss_grad: 0.0000, loss: 0.1665, grad_norm: 0.0268 2024-01-03 17:51:38,677 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:50, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1673, decode.loss_grad: 0.0000, loss: 0.1673, grad_norm: 0.0277 2024-01-03 17:51:41,597 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:47, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0272 2024-01-03 17:51:44,461 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:44, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0268 2024-01-03 17:51:47,289 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:41, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0287 2024-01-03 17:51:50,129 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:38, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0279 2024-01-03 17:51:53,009 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:35, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0266 2024-01-03 17:51:55,842 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:32, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0268 2024-01-03 17:51:58,693 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:29, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1679, decode.loss_grad: 0.0000, loss: 0.1679, grad_norm: 0.0278 2024-01-03 17:52:01,517 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:52:01,517 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:26, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0255 2024-01-03 17:52:04,471 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:23, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.0273 2024-01-03 17:52:07,315 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:20, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1607, decode.loss_grad: 0.0000, loss: 0.1607, grad_norm: 0.0265 2024-01-03 17:52:10,178 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:16, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0270 2024-01-03 17:52:13,027 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:05:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0267 2024-01-03 17:52:15,843 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:05:10, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1668, decode.loss_grad: 0.0000, loss: 0.1668, grad_norm: 0.0275 2024-01-03 17:52:18,679 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:05:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1629, decode.loss_grad: 0.0000, loss: 0.1629, grad_norm: 0.0267 2024-01-03 17:52:23,701 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:05:05, time: 0.100, data_time: 0.044, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0266 2024-01-03 17:52:26,520 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:05:02, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0266 2024-01-03 17:52:29,367 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:59, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1683, decode.loss_grad: 0.0000, loss: 0.1683, grad_norm: 0.0268 2024-01-03 17:52:32,217 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.0269 2024-01-03 17:52:35,053 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0270 2024-01-03 17:52:37,862 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:52:37,875 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:49, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1643, decode.loss_grad: 0.0000, loss: 0.1643, grad_norm: 0.0257 2024-01-03 17:52:40,705 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:46, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0257 2024-01-03 17:52:43,540 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0260 2024-01-03 17:52:46,389 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0272 2024-01-03 17:52:49,232 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:37, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0278 2024-01-03 17:52:52,079 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:34, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1625, decode.loss_grad: 0.0000, loss: 0.1625, grad_norm: 0.0266 2024-01-03 17:52:54,927 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1625, decode.loss_grad: 0.0000, loss: 0.1625, grad_norm: 0.0263 2024-01-03 17:52:57,917 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:28, time: 0.060, data_time: 0.002, memory: 750, decode.loss_depth: 0.1616, decode.loss_grad: 0.0000, loss: 0.1616, grad_norm: 0.0253 2024-01-03 17:53:00,768 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:53:00,768 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1611, decode.loss_grad: 0.0000, loss: 0.1611, grad_norm: 0.0266 2024-01-03 17:53:03,584 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:22, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1687, decode.loss_grad: 0.0000, loss: 0.1687, grad_norm: 0.0271 2024-01-03 17:53:06,436 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:19, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1641, decode.loss_grad: 0.0000, loss: 0.1641, grad_norm: 0.0271 2024-01-03 17:53:09,281 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:16, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1626, decode.loss_grad: 0.0000, loss: 0.1626, grad_norm: 0.0261 2024-01-03 17:53:12,115 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:13, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0259 2024-01-03 17:53:14,963 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:10, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1686, decode.loss_grad: 0.0000, loss: 0.1686, grad_norm: 0.0276 2024-01-03 17:53:17,797 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:04:07, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0273 2024-01-03 17:53:20,618 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:04:04, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1655, decode.loss_grad: 0.0000, loss: 0.1655, grad_norm: 0.0263 2024-01-03 17:53:23,481 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:04:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0264 2024-01-03 17:53:26,335 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:58, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.0266 2024-01-03 17:53:29,160 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1648, decode.loss_grad: 0.0000, loss: 0.1648, grad_norm: 0.0264 2024-01-03 17:53:32,006 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:52, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0261 2024-01-03 17:53:34,838 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1631, decode.loss_grad: 0.0000, loss: 0.1631, grad_norm: 0.0267 2024-01-03 17:53:37,654 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:46, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0269 2024-01-03 17:53:40,557 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:43, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0273 2024-01-03 17:53:43,429 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1644, decode.loss_grad: 0.0000, loss: 0.1644, grad_norm: 0.0269 2024-01-03 17:53:46,261 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.0274 2024-01-03 17:53:51,191 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:34, time: 0.099, data_time: 0.044, memory: 750, decode.loss_depth: 0.1612, decode.loss_grad: 0.0000, loss: 0.1612, grad_norm: 0.0264 2024-01-03 17:53:54,028 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:31, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0266 2024-01-03 17:53:56,870 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:28, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0266 2024-01-03 17:53:59,709 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:53:59,709 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:25, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0260 2024-01-03 17:54:02,542 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:22, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1629, decode.loss_grad: 0.0000, loss: 0.1629, grad_norm: 0.0256 2024-01-03 17:54:05,386 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1635, decode.loss_grad: 0.0000, loss: 0.1635, grad_norm: 0.0262 2024-01-03 17:54:08,222 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0269 2024-01-03 17:54:11,054 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:54:11,070 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0267 2024-01-03 17:54:16,274 - mmseg - INFO - Summary: 2024-01-03 17:54:16,274 - mmseg - INFO - +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ | 0.6743 | 0.9205 | 0.9826 | 0.1991 | 0.645 | 0.0829 | 0.2408 | 21.1469 | 0.1635 | +--------+--------+--------+---------+-------+--------+----------+---------+--------+ 2024-01-03 17:54:16,275 - mmseg - INFO - Iter(val) [82] a1: 0.6743, a2: 0.9205, a3: 0.9826, abs_rel: 0.19906125962734222, rmse: 0.6450329422950745, log_10: 0.08289399743080139, rmse_log: 0.24083997309207916, silog: 21.1469, sq_rel: 0.16353484988212585 2024-01-03 17:54:19,099 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:10, time: 0.161, data_time: 0.106, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0267 2024-01-03 17:54:22,071 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:07, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1593, decode.loss_grad: 0.0000, loss: 0.1593, grad_norm: 0.0265 2024-01-03 17:54:24,922 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:03:04, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0261 2024-01-03 17:54:27,776 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:03:01, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1664, decode.loss_grad: 0.0000, loss: 0.1664, grad_norm: 0.0261 2024-01-03 17:54:30,618 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:58, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1688, decode.loss_grad: 0.0000, loss: 0.1688, grad_norm: 0.0277 2024-01-03 17:54:33,459 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:55, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0265 2024-01-03 17:54:36,281 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:52, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0267 2024-01-03 17:54:39,127 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:49, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0264 2024-01-03 17:54:42,019 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:46, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1623, decode.loss_grad: 0.0000, loss: 0.1623, grad_norm: 0.0266 2024-01-03 17:54:44,857 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:43, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.0260 2024-01-03 17:54:47,685 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:40, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1620, decode.loss_grad: 0.0000, loss: 0.1620, grad_norm: 0.0271 2024-01-03 17:54:50,540 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1653, decode.loss_grad: 0.0000, loss: 0.1653, grad_norm: 0.0271 2024-01-03 17:54:53,515 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:33, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0263 2024-01-03 17:54:56,352 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0264 2024-01-03 17:54:59,193 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1623, decode.loss_grad: 0.0000, loss: 0.1623, grad_norm: 0.0255 2024-01-03 17:55:02,030 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:55:02,031 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1626, decode.loss_grad: 0.0000, loss: 0.1626, grad_norm: 0.0261 2024-01-03 17:55:04,865 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:21, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1660, decode.loss_grad: 0.0000, loss: 0.1660, grad_norm: 0.0267 2024-01-03 17:55:07,701 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1669, decode.loss_grad: 0.0000, loss: 0.1669, grad_norm: 0.0263 2024-01-03 17:55:10,520 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:15, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0265 2024-01-03 17:55:13,367 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0268 2024-01-03 17:55:16,302 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:09, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1651, decode.loss_grad: 0.0000, loss: 0.1651, grad_norm: 0.0257 2024-01-03 17:55:19,140 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1646, decode.loss_grad: 0.0000, loss: 0.1646, grad_norm: 0.0271 2024-01-03 17:55:24,083 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:02:03, time: 0.099, data_time: 0.043, memory: 750, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0269 2024-01-03 17:55:26,921 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:02:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1649, decode.loss_grad: 0.0000, loss: 0.1649, grad_norm: 0.0259 2024-01-03 17:55:29,756 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1601, decode.loss_grad: 0.0000, loss: 0.1601, grad_norm: 0.0263 2024-01-03 17:55:32,605 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:54, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0266 2024-01-03 17:55:35,462 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1640, decode.loss_grad: 0.0000, loss: 0.1640, grad_norm: 0.0259 2024-01-03 17:55:38,304 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:48, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1668, decode.loss_grad: 0.0000, loss: 0.1668, grad_norm: 0.0269 2024-01-03 17:55:41,123 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:45, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.0259 2024-01-03 17:55:43,963 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1623, decode.loss_grad: 0.0000, loss: 0.1623, grad_norm: 0.0259 2024-01-03 17:55:46,909 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:39, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0259 2024-01-03 17:55:49,746 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:55:49,760 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0268 2024-01-03 17:55:52,598 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:33, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0266 2024-01-03 17:55:55,457 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:30, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1677, decode.loss_grad: 0.0000, loss: 0.1677, grad_norm: 0.0273 2024-01-03 17:55:58,313 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1632, decode.loss_grad: 0.0000, loss: 0.1632, grad_norm: 0.0266 2024-01-03 17:56:01,142 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:56:01,142 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1629, decode.loss_grad: 0.0000, loss: 0.1629, grad_norm: 0.0270 2024-01-03 17:56:03,946 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:21, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1628, decode.loss_grad: 0.0000, loss: 0.1628, grad_norm: 0.0256 2024-01-03 17:56:06,777 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1662, decode.loss_grad: 0.0000, loss: 0.1662, grad_norm: 0.0265 2024-01-03 17:56:09,837 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:15, time: 0.061, data_time: 0.002, memory: 750, decode.loss_depth: 0.1616, decode.loss_grad: 0.0000, loss: 0.1616, grad_norm: 0.0260 2024-01-03 17:56:12,678 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:12, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1661, decode.loss_grad: 0.0000, loss: 0.1661, grad_norm: 0.0275 2024-01-03 17:56:15,506 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0271 2024-01-03 17:56:18,454 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:06, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1696, decode.loss_grad: 0.0000, loss: 0.1696, grad_norm: 0.0277 2024-01-03 17:56:21,324 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0255 2024-01-03 17:56:24,153 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:00, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1637, decode.loss_grad: 0.0000, loss: 0.1637, grad_norm: 0.0267 2024-01-03 17:56:26,978 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:57, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0269 2024-01-03 17:56:29,857 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:54, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0260 2024-01-03 17:56:32,732 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:51, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.0256 2024-01-03 17:56:35,564 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:48, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0255 2024-01-03 17:56:38,399 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:45, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1658, decode.loss_grad: 0.0000, loss: 0.1658, grad_norm: 0.0271 2024-01-03 17:56:41,228 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:42, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1647, decode.loss_grad: 0.0000, loss: 0.1647, grad_norm: 0.0269 2024-01-03 17:56:44,083 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:39, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1659, decode.loss_grad: 0.0000, loss: 0.1659, grad_norm: 0.0260 2024-01-03 17:56:46,927 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:36, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.0271 2024-01-03 17:56:49,743 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:33, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1636, decode.loss_grad: 0.0000, loss: 0.1636, grad_norm: 0.0269 2024-01-03 17:56:54,696 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:30, time: 0.099, data_time: 0.044, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0266 2024-01-03 17:56:57,523 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:27, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1642, decode.loss_grad: 0.0000, loss: 0.1642, grad_norm: 0.0259 2024-01-03 17:57:00,350 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:57:00,350 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:24, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1663, decode.loss_grad: 0.0000, loss: 0.1663, grad_norm: 0.0269 2024-01-03 17:57:03,169 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:21, time: 0.056, data_time: 0.002, memory: 750, decode.loss_depth: 0.1641, decode.loss_grad: 0.0000, loss: 0.1641, grad_norm: 0.0262 2024-01-03 17:57:06,011 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:18, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0261 2024-01-03 17:57:08,863 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:15, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1610, decode.loss_grad: 0.0000, loss: 0.1610, grad_norm: 0.0260 2024-01-03 17:57:11,772 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:12, time: 0.058, data_time: 0.002, memory: 750, decode.loss_depth: 0.1638, decode.loss_grad: 0.0000, loss: 0.1638, grad_norm: 0.0261 2024-01-03 17:57:14,597 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:09, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1623, decode.loss_grad: 0.0000, loss: 0.1623, grad_norm: 0.0263 2024-01-03 17:57:17,432 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:06, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.0259 2024-01-03 17:57:20,271 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:03, time: 0.057, data_time: 0.002, memory: 750, decode.loss_depth: 0.1633, decode.loss_grad: 0.0000, loss: 0.1633, grad_norm: 0.0264 2024-01-03 17:57:23,210 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:57:23,226 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.059, data_time: 0.002, memory: 750, decode.loss_depth: 0.1690, decode.loss_grad: 0.0000, loss: 0.1690, grad_norm: 0.0274 2024-01-03 17:57:28,439 - mmseg - INFO - Summary: 2024-01-03 17:57:28,440 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6751 | 0.9207 | 0.9826 | 0.1989 | 0.6446 | 0.0828 | 0.2406 | 21.1347 | 0.1637 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:57:28,440 - mmseg - INFO - Iter(val) [82] a1: 0.6751, a2: 0.9207, a3: 0.9826, abs_rel: 0.19890226423740387, rmse: 0.6446254849433899, log_10: 0.08277478069067001, rmse_log: 0.2405884563922882, silog: 21.1347, sq_rel: 0.16373175382614136