2024-01-03 17:05:50,194 - 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 17:05:50,195 - mmseg - INFO - Distributed training: True 2024-01-03 17:05:50,196 - 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/vit_base_patch14_reg4_dinov2.lvd142m', 'gpu_ids': range(0, 1)} 2024-01-03 17:05:54,726 - mmseg - INFO - Loading backbone from vit_base_patch14_reg4_dinov2.lvd142m 2024-01-03 17:05:54,747 - 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 17:05:54,817 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:05:55,370 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:05:55,370 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_reg4_dinov2.lvd142m 2024-01-03 17:05:55,370 - 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 17:05:55,370 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:05:55,370 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_reg4_dinov2.lvd142m by HardDiskBackend. 2024-01-03 17:06:14,550 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:21:08, time: 0.127, data_time: 0.004, memory: 877, decode.loss_depth: 0.2344, decode.loss_grad: 0.0000, loss: 0.2344, grad_norm: 0.3604 2024-01-03 17:06:17,786 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 1:01:10, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.3032 2024-01-03 17:06:21,012 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:54:26, time: 0.065, data_time: 0.001, memory: 877, decode.loss_depth: 0.4287, decode.loss_grad: 0.0000, loss: 0.4287, grad_norm: 0.2600 2024-01-03 17:06:24,203 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:50:56, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.3649, decode.loss_grad: 0.0000, loss: 0.3649, grad_norm: 0.2337 2024-01-03 17:06:27,426 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:48:53, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.2996, decode.loss_grad: 0.0000, loss: 0.2996, grad_norm: 0.2491 2024-01-03 17:06:30,602 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:47:24, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.2525, decode.loss_grad: 0.0000, loss: 0.2525, grad_norm: 0.2371 2024-01-03 17:06:33,808 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:46:23, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.2297, decode.loss_grad: 0.0000, loss: 0.2297, grad_norm: 0.2347 2024-01-03 17:06:37,030 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:45:38, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.2088, decode.loss_grad: 0.0000, loss: 0.2088, grad_norm: 0.2137 2024-01-03 17:06:40,249 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:45:02, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1970, decode.loss_grad: 0.0000, loss: 0.1970, grad_norm: 0.2094 2024-01-03 17:06:43,472 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:44:33, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1961, decode.loss_grad: 0.0000, loss: 0.1961, grad_norm: 0.2117 2024-01-03 17:06:46,819 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:44:17, time: 0.067, data_time: 0.002, memory: 877, decode.loss_depth: 0.1910, decode.loss_grad: 0.0000, loss: 0.1910, grad_norm: 0.2054 2024-01-03 17:06:50,009 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:43:53, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1799, decode.loss_grad: 0.0000, loss: 0.1799, grad_norm: 0.2015 2024-01-03 17:06:53,236 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:43:35, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1805, decode.loss_grad: 0.0000, loss: 0.1805, grad_norm: 0.1979 2024-01-03 17:06:56,474 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:43:19, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1736, decode.loss_grad: 0.0000, loss: 0.1736, grad_norm: 0.1869 2024-01-03 17:06:59,678 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:43:03, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1652, decode.loss_grad: 0.0000, loss: 0.1652, grad_norm: 0.1863 2024-01-03 17:07:02,914 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:42:51, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.1819 2024-01-03 17:07:06,280 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:42:45, time: 0.067, data_time: 0.002, memory: 877, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.1888 2024-01-03 17:07:09,457 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:42:32, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1622, decode.loss_grad: 0.0000, loss: 0.1622, grad_norm: 0.1809 2024-01-03 17:07:12,666 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:42:21, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1596, decode.loss_grad: 0.0000, loss: 0.1596, grad_norm: 0.1691 2024-01-03 17:07:15,890 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:07:15,890 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:42:11, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1573, decode.loss_grad: 0.0000, loss: 0.1573, grad_norm: 0.1720 2024-01-03 17:07:19,096 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:42:01, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1546, decode.loss_grad: 0.0000, loss: 0.1546, grad_norm: 0.1747 2024-01-03 17:07:22,317 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:41:53, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1549, decode.loss_grad: 0.0000, loss: 0.1549, grad_norm: 0.1595 2024-01-03 17:07:25,517 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:41:44, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.1707 2024-01-03 17:07:28,729 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:41:36, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1477, decode.loss_grad: 0.0000, loss: 0.1477, grad_norm: 0.1673 2024-01-03 17:07:31,940 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:41:28, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1546, decode.loss_grad: 0.0000, loss: 0.1546, grad_norm: 0.1643 2024-01-03 17:07:35,181 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:41:22, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1516, decode.loss_grad: 0.0000, loss: 0.1516, grad_norm: 0.1610 2024-01-03 17:07:38,444 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:41:16, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1498, decode.loss_grad: 0.0000, loss: 0.1498, grad_norm: 0.1514 2024-01-03 17:07:41,656 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:41:09, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1467, decode.loss_grad: 0.0000, loss: 0.1467, grad_norm: 0.1471 2024-01-03 17:07:44,849 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:41:02, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1449, decode.loss_grad: 0.0000, loss: 0.1449, grad_norm: 0.1552 2024-01-03 17:07:48,023 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:40:55, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.1521 2024-01-03 17:07:53,249 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:41:37, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1446, decode.loss_grad: 0.0000, loss: 0.1446, grad_norm: 0.1509 2024-01-03 17:07:56,347 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:07:56,360 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:41:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1428, decode.loss_grad: 0.0000, loss: 0.1428, grad_norm: 0.1413 2024-01-03 17:07:59,453 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:41:17, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1404, decode.loss_grad: 0.0000, loss: 0.1404, grad_norm: 0.1442 2024-01-03 17:08:02,548 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:41:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1397, decode.loss_grad: 0.0000, loss: 0.1397, grad_norm: 0.1438 2024-01-03 17:08:05,646 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:40:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1437, decode.loss_grad: 0.0000, loss: 0.1437, grad_norm: 0.1464 2024-01-03 17:08:08,762 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:40:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1391, decode.loss_grad: 0.0000, loss: 0.1391, grad_norm: 0.1410 2024-01-03 17:08:11,875 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:40:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.1383 2024-01-03 17:08:14,987 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:40:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1391, decode.loss_grad: 0.0000, loss: 0.1391, grad_norm: 0.1363 2024-01-03 17:08:18,109 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:40:28, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.1360 2024-01-03 17:08:21,212 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:08:21,213 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:40:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1372, decode.loss_grad: 0.0000, loss: 0.1372, grad_norm: 0.1295 2024-01-03 17:08:24,328 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:40:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1370, decode.loss_grad: 0.0000, loss: 0.1370, grad_norm: 0.1312 2024-01-03 17:08:27,438 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:40:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.1305 2024-01-03 17:08:30,531 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:39:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1372, decode.loss_grad: 0.0000, loss: 0.1372, grad_norm: 0.1336 2024-01-03 17:08:33,640 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:39:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.1215 2024-01-03 17:08:36,738 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:39:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1353, decode.loss_grad: 0.0000, loss: 0.1353, grad_norm: 0.1274 2024-01-03 17:08:39,842 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:39:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1354, decode.loss_grad: 0.0000, loss: 0.1354, grad_norm: 0.1239 2024-01-03 17:08:42,928 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:39:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1350, decode.loss_grad: 0.0000, loss: 0.1350, grad_norm: 0.1210 2024-01-03 17:08:46,036 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:39:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1317, decode.loss_grad: 0.0000, loss: 0.1317, grad_norm: 0.1178 2024-01-03 17:08:49,135 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:39:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1318, decode.loss_grad: 0.0000, loss: 0.1318, grad_norm: 0.1145 2024-01-03 17:08:52,255 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:39:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.1185 2024-01-03 17:08:55,369 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:39:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.1152 2024-01-03 17:08:58,456 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:39:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1286, decode.loss_grad: 0.0000, loss: 0.1286, grad_norm: 0.1127 2024-01-03 17:09:01,562 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:38:58, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1359, decode.loss_grad: 0.0000, loss: 0.1359, grad_norm: 0.1248 2024-01-03 17:09:04,654 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:38:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.1125 2024-01-03 17:09:07,739 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:38:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1293, decode.loss_grad: 0.0000, loss: 0.1293, grad_norm: 0.1117 2024-01-03 17:09:10,853 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:38:42, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1306, decode.loss_grad: 0.0000, loss: 0.1306, grad_norm: 0.1171 2024-01-03 17:09:13,948 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:38:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1302, decode.loss_grad: 0.0000, loss: 0.1302, grad_norm: 0.1143 2024-01-03 17:09:17,035 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:38:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.1071 2024-01-03 17:09:20,135 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:38:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.1058 2024-01-03 17:09:23,222 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:09:23,222 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:38:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.1033 2024-01-03 17:09:28,418 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:38:40, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.1023 2024-01-03 17:09:31,524 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:38:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.1014 2024-01-03 17:09:34,609 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:38:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.1026 2024-01-03 17:09:37,716 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:09:37,726 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:38:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0984 2024-01-03 17:09:53,192 - mmseg - INFO - Summary: 2024-01-03 17:09:53,193 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8533 | 0.9829 | 0.9974 | 0.1299 | 0.4301 | 0.0539 | 0.1545 | 11.8528 | 0.0761 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:09:53,205 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:09:53,205 - mmseg - INFO - Best abs_rel is 0.1299 at 3200 iter. 2024-01-03 17:09:53,205 - mmseg - INFO - Iter(val) [82] a1: 0.8533, a2: 0.9829, a3: 0.9974, abs_rel: 0.12989163398742676, rmse: 0.4300842881202698, log_10: 0.05387348681688309, rmse_log: 0.15447214245796204, silog: 11.8528, sq_rel: 0.07612553983926773 2024-01-03 17:09:56,303 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:41:06, time: 0.372, data_time: 0.311, memory: 877, decode.loss_depth: 0.1256, decode.loss_grad: 0.0000, loss: 0.1256, grad_norm: 0.0987 2024-01-03 17:09:59,419 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:40:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.0998 2024-01-03 17:10:02,518 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:40:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0959 2024-01-03 17:10:05,620 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:40:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0992 2024-01-03 17:10:08,725 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:40:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1291, decode.loss_grad: 0.0000, loss: 0.1291, grad_norm: 0.0978 2024-01-03 17:10:11,822 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:40:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0987 2024-01-03 17:10:14,929 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:40:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0928 2024-01-03 17:10:18,016 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:40:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0937 2024-01-03 17:10:21,097 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:40:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0906 2024-01-03 17:10:24,217 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:40:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0918 2024-01-03 17:10:27,334 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:39:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.0913 2024-01-03 17:10:30,438 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:39:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1261, decode.loss_grad: 0.0000, loss: 0.1261, grad_norm: 0.0931 2024-01-03 17:10:33,547 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:39:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0861 2024-01-03 17:10:36,658 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:39:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1237, decode.loss_grad: 0.0000, loss: 0.1237, grad_norm: 0.0849 2024-01-03 17:10:39,753 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:39:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0837 2024-01-03 17:10:42,850 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:10:42,850 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:39:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0809 2024-01-03 17:10:45,958 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:39:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0851 2024-01-03 17:10:49,071 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:39:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1219, decode.loss_grad: 0.0000, loss: 0.1219, grad_norm: 0.0888 2024-01-03 17:10:52,191 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:39:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0831 2024-01-03 17:10:55,280 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:38:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0841 2024-01-03 17:10:58,394 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:38:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0771 2024-01-03 17:11:01,515 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:38:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0815 2024-01-03 17:11:04,628 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:38:40, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1195, decode.loss_grad: 0.0000, loss: 0.1195, grad_norm: 0.0838 2024-01-03 17:11:07,732 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:38:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0830 2024-01-03 17:11:10,858 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:38:28, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1231, decode.loss_grad: 0.0000, loss: 0.1231, grad_norm: 0.0781 2024-01-03 17:11:13,960 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:38:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0789 2024-01-03 17:11:19,140 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:38:33, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0792 2024-01-03 17:11:22,257 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:38:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0758 2024-01-03 17:11:25,347 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:38:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0786 2024-01-03 17:11:28,451 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:38:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1196, decode.loss_grad: 0.0000, loss: 0.1196, grad_norm: 0.0736 2024-01-03 17:11:31,542 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:38:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0711 2024-01-03 17:11:34,639 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:11:34,652 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:38:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0716 2024-01-03 17:11:37,766 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:37:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0676 2024-01-03 17:11:40,861 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:37:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0712 2024-01-03 17:11:43,941 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:37:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0700 2024-01-03 17:11:47,057 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:11:47,057 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:37:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0721 2024-01-03 17:11:50,170 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:37:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0704 2024-01-03 17:11:53,275 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:37:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0701 2024-01-03 17:11:56,376 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:37:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0682 2024-01-03 17:11:59,491 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:37:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0662 2024-01-03 17:12:02,604 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:37:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0683 2024-01-03 17:12:05,713 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:37:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0701 2024-01-03 17:12:08,824 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:37:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0646 2024-01-03 17:12:11,916 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:37:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0675 2024-01-03 17:12:15,039 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:36:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0687 2024-01-03 17:12:18,134 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:36:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0642 2024-01-03 17:12:21,223 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:36:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0678 2024-01-03 17:12:24,324 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:36:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0614 2024-01-03 17:12:27,438 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:36:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0651 2024-01-03 17:12:30,569 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:36:33, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0633 2024-01-03 17:12:33,658 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:36:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0611 2024-01-03 17:12:36,750 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:36:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0578 2024-01-03 17:12:39,851 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:36:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1174, decode.loss_grad: 0.0000, loss: 0.1174, grad_norm: 0.0625 2024-01-03 17:12:42,936 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:36:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0615 2024-01-03 17:12:46,025 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:36:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0619 2024-01-03 17:12:49,134 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:49,134 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:36:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0614 2024-01-03 17:12:52,226 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:36:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0557 2024-01-03 17:12:57,417 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:36:06, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0589 2024-01-03 17:13:00,544 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:36:02, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0540 2024-01-03 17:13:03,667 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:35:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1081, decode.loss_grad: 0.0000, loss: 0.1081, grad_norm: 0.0543 2024-01-03 17:13:06,756 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:35:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0565 2024-01-03 17:13:09,867 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:35:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0595 2024-01-03 17:13:12,976 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:35:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0562 2024-01-03 17:13:16,092 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:13:16,111 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:35:39, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0555 2024-01-03 17:13:22,029 - mmseg - INFO - Summary: 2024-01-03 17:13:22,029 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.8634 | 0.9853 | 0.9978 | 0.1241 | 0.4106 | 0.0519 | 0.149 | 11.512 | 0.0679 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:13:22,031 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:13:22,039 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:13:22,039 - mmseg - INFO - Best abs_rel is 0.1241 at 6400 iter. 2024-01-03 17:13:22,040 - mmseg - INFO - Iter(val) [82] a1: 0.8634, a2: 0.9853, a3: 0.9978, abs_rel: 0.12413550168275833, rmse: 0.4106345474720001, log_10: 0.05191223323345184, rmse_log: 0.14900438487529755, silog: 11.5120, sq_rel: 0.06792198121547699 2024-01-03 17:13:25,137 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:36:04, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0551 2024-01-03 17:13:28,258 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:35:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0532 2024-01-03 17:13:31,379 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:35:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0524 2024-01-03 17:13:34,478 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:35:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1115, decode.loss_grad: 0.0000, loss: 0.1115, grad_norm: 0.0559 2024-01-03 17:13:37,581 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:35:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0549 2024-01-03 17:13:40,688 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:35:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0520 2024-01-03 17:13:43,796 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:35:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0540 2024-01-03 17:13:46,897 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:35:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1090, decode.loss_grad: 0.0000, loss: 0.1090, grad_norm: 0.0527 2024-01-03 17:13:50,005 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:35:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0508 2024-01-03 17:13:53,127 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:35:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0508 2024-01-03 17:13:56,231 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:35:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0493 2024-01-03 17:13:59,342 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:13:59,343 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:35:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0496 2024-01-03 17:14:02,470 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:35:08, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0508 2024-01-03 17:14:05,682 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:35:04, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0505 2024-01-03 17:14:08,794 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:35:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0492 2024-01-03 17:14:11,922 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:34:56, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1122, decode.loss_grad: 0.0000, loss: 0.1122, grad_norm: 0.0481 2024-01-03 17:14:15,041 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:34:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0510 2024-01-03 17:14:18,164 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:34:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0517 2024-01-03 17:14:21,276 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:34:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0479 2024-01-03 17:14:24,386 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:34:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0472 2024-01-03 17:14:27,593 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:34:34, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0487 2024-01-03 17:14:30,719 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:34:30, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0487 2024-01-03 17:14:33,836 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:34:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1100, decode.loss_grad: 0.0000, loss: 0.1100, grad_norm: 0.0464 2024-01-03 17:14:39,016 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:34:30, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0460 2024-01-03 17:14:42,126 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:34:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0445 2024-01-03 17:14:45,241 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:34:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0463 2024-01-03 17:14:48,324 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:34:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1069, decode.loss_grad: 0.0000, loss: 0.1069, grad_norm: 0.0433 2024-01-03 17:14:51,463 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:34:12, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0445 2024-01-03 17:14:54,550 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:34:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0437 2024-01-03 17:14:57,669 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:34:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0451 2024-01-03 17:15:00,779 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:33:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0439 2024-01-03 17:15:03,889 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:15:03,900 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:03,900 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:33:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0429 2024-01-03 17:15:07,010 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:33:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0439 2024-01-03 17:15:10,143 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:33:47, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1084, decode.loss_grad: 0.0000, loss: 0.1084, grad_norm: 0.0413 2024-01-03 17:15:13,258 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:33:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1089, decode.loss_grad: 0.0000, loss: 0.1089, grad_norm: 0.0434 2024-01-03 17:15:16,386 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:33:38, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1113, decode.loss_grad: 0.0000, loss: 0.1113, grad_norm: 0.0431 2024-01-03 17:15:19,512 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:33:34, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0423 2024-01-03 17:15:22,630 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:33:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0415 2024-01-03 17:15:25,740 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:33:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1066, decode.loss_grad: 0.0000, loss: 0.1066, grad_norm: 0.0405 2024-01-03 17:15:28,853 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:33:22, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1076, decode.loss_grad: 0.0000, loss: 0.1076, grad_norm: 0.0408 2024-01-03 17:15:31,960 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:33:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0393 2024-01-03 17:15:35,081 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:33:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1081, decode.loss_grad: 0.0000, loss: 0.1081, grad_norm: 0.0411 2024-01-03 17:15:38,186 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:33:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1106, decode.loss_grad: 0.0000, loss: 0.1106, grad_norm: 0.0425 2024-01-03 17:15:41,302 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:33:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0434 2024-01-03 17:15:44,398 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:33:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1087, decode.loss_grad: 0.0000, loss: 0.1087, grad_norm: 0.0404 2024-01-03 17:15:47,530 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:32:57, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1098, decode.loss_grad: 0.0000, loss: 0.1098, grad_norm: 0.0403 2024-01-03 17:15:50,625 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:32:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1068, decode.loss_grad: 0.0000, loss: 0.1068, grad_norm: 0.0378 2024-01-03 17:15:53,723 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:32:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0400 2024-01-03 17:15:56,832 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:32:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0413 2024-01-03 17:15:59,972 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:32:41, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0386 2024-01-03 17:16:03,093 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:32:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1066, decode.loss_grad: 0.0000, loss: 0.1066, grad_norm: 0.0393 2024-01-03 17:16:06,209 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:06,209 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:32:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0369 2024-01-03 17:16:09,326 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:32:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0372 2024-01-03 17:16:14,647 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:32:32, time: 0.106, data_time: 0.043, memory: 877, decode.loss_depth: 0.1041, decode.loss_grad: 0.0000, loss: 0.1041, grad_norm: 0.0369 2024-01-03 17:16:17,766 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:32:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0366 2024-01-03 17:16:21,000 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:32:24, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0364 2024-01-03 17:16:24,125 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:32:20, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0378 2024-01-03 17:16:27,262 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:32:16, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1039, decode.loss_grad: 0.0000, loss: 0.1039, grad_norm: 0.0357 2024-01-03 17:16:30,362 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:32:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0382 2024-01-03 17:16:33,634 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:32:09, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0378 2024-01-03 17:16:36,741 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:32:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1070, decode.loss_grad: 0.0000, loss: 0.1070, grad_norm: 0.0364 2024-01-03 17:16:39,865 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:32:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1059, decode.loss_grad: 0.0000, loss: 0.1059, grad_norm: 0.0358 2024-01-03 17:16:43,005 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:31:57, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0351 2024-01-03 17:16:46,106 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:16:46,122 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:31:53, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0358 2024-01-03 17:16:52,042 - mmseg - INFO - Summary: 2024-01-03 17:16:52,043 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ | 0.8643 | 0.9854 | 0.998 | 0.1258 | 0.4119 | 0.0521 | 0.1498 | 11.5259 | 0.068 | +--------+--------+-------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:16:52,044 - mmseg - INFO - Iter(val) [82] a1: 0.8643, a2: 0.9854, a3: 0.9980, abs_rel: 0.12577880918979645, rmse: 0.41187140345573425, log_10: 0.05212840810418129, rmse_log: 0.14979605376720428, silog: 11.5259, sq_rel: 0.06797509640455246 2024-01-03 17:16:55,137 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:32:07, time: 0.180, data_time: 0.120, memory: 877, decode.loss_depth: 0.1072, decode.loss_grad: 0.0000, loss: 0.1072, grad_norm: 0.0362 2024-01-03 17:16:58,238 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:32:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0341 2024-01-03 17:17:01,332 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:31:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1063, decode.loss_grad: 0.0000, loss: 0.1063, grad_norm: 0.0337 2024-01-03 17:17:04,488 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:31:55, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0350 2024-01-03 17:17:07,594 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:31:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0386 2024-01-03 17:17:10,724 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:31:47, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1060, decode.loss_grad: 0.0000, loss: 0.1060, grad_norm: 0.0354 2024-01-03 17:17:13,835 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:31:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0349 2024-01-03 17:17:16,936 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:16,936 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:31:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1053, decode.loss_grad: 0.0000, loss: 0.1053, grad_norm: 0.0343 2024-01-03 17:17:20,032 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:31:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1079, decode.loss_grad: 0.0000, loss: 0.1079, grad_norm: 0.0350 2024-01-03 17:17:23,120 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:31:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1057, decode.loss_grad: 0.0000, loss: 0.1057, grad_norm: 0.0338 2024-01-03 17:17:26,232 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:31:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1035, decode.loss_grad: 0.0000, loss: 0.1035, grad_norm: 0.0330 2024-01-03 17:17:29,344 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:31:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0326 2024-01-03 17:17:32,448 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:31:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1051, decode.loss_grad: 0.0000, loss: 0.1051, grad_norm: 0.0328 2024-01-03 17:17:35,540 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:31:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0336 2024-01-03 17:17:38,692 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:31:11, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1056, decode.loss_grad: 0.0000, loss: 0.1056, grad_norm: 0.0319 2024-01-03 17:17:41,798 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:31:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1030, decode.loss_grad: 0.0000, loss: 0.1030, grad_norm: 0.0327 2024-01-03 17:17:44,951 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:31:03, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0329 2024-01-03 17:17:48,078 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:30:59, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1062, decode.loss_grad: 0.0000, loss: 0.1062, grad_norm: 0.0334 2024-01-03 17:17:51,200 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:30:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1029, decode.loss_grad: 0.0000, loss: 0.1029, grad_norm: 0.0310 2024-01-03 17:17:56,368 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:30:57, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.1048, decode.loss_grad: 0.0000, loss: 0.1048, grad_norm: 0.0316 2024-01-03 17:17:59,485 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:30:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1037, decode.loss_grad: 0.0000, loss: 0.1037, grad_norm: 0.0315 2024-01-03 17:18:02,586 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:30:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1073, decode.loss_grad: 0.0000, loss: 0.1073, grad_norm: 0.0321 2024-01-03 17:18:05,697 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:30:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0319 2024-01-03 17:18:08,787 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:30:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0307 2024-01-03 17:18:11,898 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:30:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1026, decode.loss_grad: 0.0000, loss: 0.1026, grad_norm: 0.0302 2024-01-03 17:18:15,002 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:30:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0311 2024-01-03 17:18:18,109 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:30:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1028, decode.loss_grad: 0.0000, loss: 0.1028, grad_norm: 0.0315 2024-01-03 17:18:21,196 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:18:21,196 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:30:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1018, decode.loss_grad: 0.0000, loss: 0.1018, grad_norm: 0.0314 2024-01-03 17:18:24,307 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:30:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1047, decode.loss_grad: 0.0000, loss: 0.1047, grad_norm: 0.0313 2024-01-03 17:18:27,424 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:30:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1024, decode.loss_grad: 0.0000, loss: 0.1024, grad_norm: 0.0300 2024-01-03 17:18:30,539 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:30:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1012, decode.loss_grad: 0.0000, loss: 0.1012, grad_norm: 0.0303 2024-01-03 17:18:33,650 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:18:33,661 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:30:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1025, decode.loss_grad: 0.0000, loss: 0.1025, grad_norm: 0.0289 2024-01-03 17:18:36,749 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:30:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0307 2024-01-03 17:18:39,879 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:30:02, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1058, decode.loss_grad: 0.0000, loss: 0.1058, grad_norm: 0.0297 2024-01-03 17:18:42,985 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:29:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0284 2024-01-03 17:18:46,098 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:29:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0299 2024-01-03 17:18:49,217 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:29:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0300 2024-01-03 17:18:52,319 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:29:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1044, decode.loss_grad: 0.0000, loss: 0.1044, grad_norm: 0.0301 2024-01-03 17:18:55,424 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:29:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0295 2024-01-03 17:18:58,514 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:29:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1031, decode.loss_grad: 0.0000, loss: 0.1031, grad_norm: 0.0292 2024-01-03 17:19:01,635 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:29:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1065, decode.loss_grad: 0.0000, loss: 0.1065, grad_norm: 0.0305 2024-01-03 17:19:04,739 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:29:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1017, decode.loss_grad: 0.0000, loss: 0.1017, grad_norm: 0.0294 2024-01-03 17:19:07,861 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:29:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1036, decode.loss_grad: 0.0000, loss: 0.1036, grad_norm: 0.0291 2024-01-03 17:19:10,976 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:29:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1017, decode.loss_grad: 0.0000, loss: 0.1017, grad_norm: 0.0289 2024-01-03 17:19:14,080 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:29:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0290 2024-01-03 17:19:17,197 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:29:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1045, decode.loss_grad: 0.0000, loss: 0.1045, grad_norm: 0.0287 2024-01-03 17:19:20,309 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:29:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1022, decode.loss_grad: 0.0000, loss: 0.1022, grad_norm: 0.0283 2024-01-03 17:19:23,411 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:23,411 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:29:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1008, decode.loss_grad: 0.0000, loss: 0.1008, grad_norm: 0.0276 2024-01-03 17:19:26,496 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:29:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1049, decode.loss_grad: 0.0000, loss: 0.1049, grad_norm: 0.0286 2024-01-03 17:19:29,615 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:29:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1038, decode.loss_grad: 0.0000, loss: 0.1038, grad_norm: 0.0270 2024-01-03 17:19:34,807 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:29:02, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0279 2024-01-03 17:19:37,916 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:28:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1019, decode.loss_grad: 0.0000, loss: 0.1019, grad_norm: 0.0278 2024-01-03 17:19:41,141 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:28:55, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0274 2024-01-03 17:19:44,258 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:28:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0278 2024-01-03 17:19:47,363 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:28:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1009, decode.loss_grad: 0.0000, loss: 0.1009, grad_norm: 0.0278 2024-01-03 17:19:50,453 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:28:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1020, decode.loss_grad: 0.0000, loss: 0.1020, grad_norm: 0.0269 2024-01-03 17:19:53,579 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:28:40, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0275 2024-01-03 17:19:56,675 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:28:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1011, decode.loss_grad: 0.0000, loss: 0.1011, grad_norm: 0.0267 2024-01-03 17:19:59,769 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:28:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0251 2024-01-03 17:20:02,891 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:28:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1006, decode.loss_grad: 0.0000, loss: 0.1006, grad_norm: 0.0266 2024-01-03 17:20:05,999 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:28:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0267 2024-01-03 17:20:09,120 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:28:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0271 2024-01-03 17:20:12,361 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:28:18, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0270 2024-01-03 17:20:15,458 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:20:15,474 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:28:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1014, decode.loss_grad: 0.0000, loss: 0.1014, grad_norm: 0.0265 2024-01-03 17:20:21,386 - mmseg - INFO - Summary: 2024-01-03 17:20:21,386 - mmseg - INFO - +-------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.874 | 0.986 | 0.9977 | 0.1206 | 0.4029 | 0.0504 | 0.1455 | 11.3619 | 0.0654 | +-------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:20:21,388 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_6400.pth was removed 2024-01-03 17:20:21,399 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:20:21,399 - mmseg - INFO - Best abs_rel is 0.1206 at 12800 iter. 2024-01-03 17:20:21,399 - mmseg - INFO - Iter(val) [82] a1: 0.8740, a2: 0.9860, a3: 0.9977, abs_rel: 0.12060634046792984, rmse: 0.4028806984424591, log_10: 0.0503850057721138, rmse_log: 0.14545944333076477, silog: 11.3619, sq_rel: 0.06538547575473785 2024-01-03 17:20:24,469 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:28:22, time: 0.180, data_time: 0.120, memory: 877, decode.loss_depth: 0.0999, decode.loss_grad: 0.0000, loss: 0.0999, grad_norm: 0.0272 2024-01-03 17:20:27,565 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:28:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1023, decode.loss_grad: 0.0000, loss: 0.1023, grad_norm: 0.0270 2024-01-03 17:20:30,655 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:28:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0256 2024-01-03 17:20:33,847 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:33,847 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:28:11, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.1021, decode.loss_grad: 0.0000, loss: 0.1021, grad_norm: 0.0264 2024-01-03 17:20:36,979 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:28:07, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0983, decode.loss_grad: 0.0000, loss: 0.0983, grad_norm: 0.0252 2024-01-03 17:20:40,114 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:28:03, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0253 2024-01-03 17:20:43,228 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:28:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0242 2024-01-03 17:20:46,339 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:27:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1000, decode.loss_grad: 0.0000, loss: 0.1000, grad_norm: 0.0257 2024-01-03 17:20:49,428 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:27:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1027, decode.loss_grad: 0.0000, loss: 0.1027, grad_norm: 0.0277 2024-01-03 17:20:52,546 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:27:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0252 2024-01-03 17:20:55,648 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:27:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1005, decode.loss_grad: 0.0000, loss: 0.1005, grad_norm: 0.0267 2024-01-03 17:20:58,759 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:27:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0995, decode.loss_grad: 0.0000, loss: 0.0995, grad_norm: 0.0245 2024-01-03 17:21:01,872 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:27:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0988, decode.loss_grad: 0.0000, loss: 0.0988, grad_norm: 0.0243 2024-01-03 17:21:04,979 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:27:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0252 2024-01-03 17:21:08,096 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:27:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1003, decode.loss_grad: 0.0000, loss: 0.1003, grad_norm: 0.0245 2024-01-03 17:21:11,203 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:27:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1007, decode.loss_grad: 0.0000, loss: 0.1007, grad_norm: 0.0247 2024-01-03 17:21:16,374 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:27:26, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0243 2024-01-03 17:21:19,462 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:27:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1010, decode.loss_grad: 0.0000, loss: 0.1010, grad_norm: 0.0244 2024-01-03 17:21:22,589 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:27:19, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0962, decode.loss_grad: 0.0000, loss: 0.0962, grad_norm: 0.0247 2024-01-03 17:21:25,684 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:27:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0996, decode.loss_grad: 0.0000, loss: 0.0996, grad_norm: 0.0241 2024-01-03 17:21:28,769 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:27:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.0239 2024-01-03 17:21:31,869 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:27:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0979, decode.loss_grad: 0.0000, loss: 0.0979, grad_norm: 0.0243 2024-01-03 17:21:34,968 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:27:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0243 2024-01-03 17:21:38,078 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:38,078 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:27:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0994, decode.loss_grad: 0.0000, loss: 0.0994, grad_norm: 0.0249 2024-01-03 17:21:41,170 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:26:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0251 2024-01-03 17:21:44,263 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:26:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0258 2024-01-03 17:21:47,377 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:26:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0245 2024-01-03 17:21:50,482 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:26:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0243 2024-01-03 17:21:53,570 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:26:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0970, decode.loss_grad: 0.0000, loss: 0.0970, grad_norm: 0.0246 2024-01-03 17:21:56,676 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:26:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0991, decode.loss_grad: 0.0000, loss: 0.0991, grad_norm: 0.0248 2024-01-03 17:21:59,774 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:26:34, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0249 2024-01-03 17:22:02,883 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:22:02,894 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:26:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0231 2024-01-03 17:22:05,991 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:26:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0992, decode.loss_grad: 0.0000, loss: 0.0992, grad_norm: 0.0240 2024-01-03 17:22:09,099 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:26:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0228 2024-01-03 17:22:12,231 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:26:20, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0985, decode.loss_grad: 0.0000, loss: 0.0985, grad_norm: 0.0232 2024-01-03 17:22:15,335 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:26:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0237 2024-01-03 17:22:18,448 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:26:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0244 2024-01-03 17:22:21,552 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:26:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0978, decode.loss_grad: 0.0000, loss: 0.0978, grad_norm: 0.0242 2024-01-03 17:22:24,673 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:26:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.1002, decode.loss_grad: 0.0000, loss: 0.1002, grad_norm: 0.0229 2024-01-03 17:22:27,769 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:26:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0971, decode.loss_grad: 0.0000, loss: 0.0971, grad_norm: 0.0232 2024-01-03 17:22:30,853 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:25:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0240 2024-01-03 17:22:33,949 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:25:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0989, decode.loss_grad: 0.0000, loss: 0.0989, grad_norm: 0.0237 2024-01-03 17:22:37,045 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:25:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0967, decode.loss_grad: 0.0000, loss: 0.0967, grad_norm: 0.0231 2024-01-03 17:22:40,116 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:22:40,116 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:25:47, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0965, decode.loss_grad: 0.0000, loss: 0.0965, grad_norm: 0.0235 2024-01-03 17:22:43,230 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:25:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0975, decode.loss_grad: 0.0000, loss: 0.0975, grad_norm: 0.0230 2024-01-03 17:22:46,326 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:25:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0236 2024-01-03 17:22:51,519 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:25:39, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0227 2024-01-03 17:22:54,601 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:25:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0969, decode.loss_grad: 0.0000, loss: 0.0969, grad_norm: 0.0223 2024-01-03 17:22:57,698 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:25:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0220 2024-01-03 17:23:00,824 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:25:28, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0224 2024-01-03 17:23:03,912 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:25:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0964, decode.loss_grad: 0.0000, loss: 0.0964, grad_norm: 0.0226 2024-01-03 17:23:07,010 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:25:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0227 2024-01-03 17:23:10,093 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:25:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0982, decode.loss_grad: 0.0000, loss: 0.0982, grad_norm: 0.0247 2024-01-03 17:23:13,187 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:25:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0977, decode.loss_grad: 0.0000, loss: 0.0977, grad_norm: 0.0234 2024-01-03 17:23:16,280 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:25:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0234 2024-01-03 17:23:19,424 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:25:07, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0221 2024-01-03 17:23:22,527 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:25:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0230 2024-01-03 17:23:25,631 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:24:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0950, decode.loss_grad: 0.0000, loss: 0.0950, grad_norm: 0.0224 2024-01-03 17:23:28,737 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:24:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0937, decode.loss_grad: 0.0000, loss: 0.0937, grad_norm: 0.0222 2024-01-03 17:23:31,844 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:24:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0225 2024-01-03 17:23:34,948 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:24:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0229 2024-01-03 17:23:38,055 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:24:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0963, decode.loss_grad: 0.0000, loss: 0.0963, grad_norm: 0.0224 2024-01-03 17:23:41,140 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:24:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0973, decode.loss_grad: 0.0000, loss: 0.0973, grad_norm: 0.0238 2024-01-03 17:23:44,235 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:23:44,248 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:44,248 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:24:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0986, decode.loss_grad: 0.0000, loss: 0.0986, grad_norm: 0.0231 2024-01-03 17:23:50,223 - mmseg - INFO - Summary: 2024-01-03 17:23:50,225 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8686 | 0.9854 | 0.9979 | 0.1234 | 0.4031 | 0.051 | 0.1469 | 11.2953 | 0.0664 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:23:50,226 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:50,226 - mmseg - INFO - Iter(val) [82] a1: 0.8686, a2: 0.9854, a3: 0.9979, abs_rel: 0.1234390065073967, rmse: 0.4031009078025818, log_10: 0.05102449283003807, rmse_log: 0.14688044786453247, silog: 11.2953, sq_rel: 0.06644116342067719 2024-01-03 17:23:53,297 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:24:43, time: 0.181, data_time: 0.121, memory: 877, decode.loss_depth: 0.0953, decode.loss_grad: 0.0000, loss: 0.0953, grad_norm: 0.0221 2024-01-03 17:23:56,393 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:24:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0226 2024-01-03 17:23:59,510 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:24:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0942, decode.loss_grad: 0.0000, loss: 0.0942, grad_norm: 0.0219 2024-01-03 17:24:02,642 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:24:32, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0948, decode.loss_grad: 0.0000, loss: 0.0948, grad_norm: 0.0225 2024-01-03 17:24:05,751 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:24:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0952, decode.loss_grad: 0.0000, loss: 0.0952, grad_norm: 0.0214 2024-01-03 17:24:08,849 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:24:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0951, decode.loss_grad: 0.0000, loss: 0.0951, grad_norm: 0.0225 2024-01-03 17:24:11,964 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:24:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0972, decode.loss_grad: 0.0000, loss: 0.0972, grad_norm: 0.0231 2024-01-03 17:24:15,060 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:24:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0218 2024-01-03 17:24:18,192 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:24:14, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0220 2024-01-03 17:24:21,296 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:24:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0968, decode.loss_grad: 0.0000, loss: 0.0968, grad_norm: 0.0226 2024-01-03 17:24:24,402 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:24:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0221 2024-01-03 17:24:27,487 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:24:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0956, decode.loss_grad: 0.0000, loss: 0.0956, grad_norm: 0.0220 2024-01-03 17:24:30,609 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:24:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0946, decode.loss_grad: 0.0000, loss: 0.0946, grad_norm: 0.0219 2024-01-03 17:24:35,808 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:23:59, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0220 2024-01-03 17:24:38,914 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:23:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0213 2024-01-03 17:24:42,013 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:23:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0216 2024-01-03 17:24:45,107 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:23:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0222 2024-01-03 17:24:48,218 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:23:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0955, decode.loss_grad: 0.0000, loss: 0.0955, grad_norm: 0.0221 2024-01-03 17:24:51,325 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:23:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0217 2024-01-03 17:24:54,411 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:54,411 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:23:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0219 2024-01-03 17:24:57,502 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:23:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0936, decode.loss_grad: 0.0000, loss: 0.0936, grad_norm: 0.0218 2024-01-03 17:25:00,606 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:23:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0216 2024-01-03 17:25:03,682 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:23:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0916, decode.loss_grad: 0.0000, loss: 0.0916, grad_norm: 0.0206 2024-01-03 17:25:06,796 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:23:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0217 2024-01-03 17:25:09,941 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:23:19, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0945, decode.loss_grad: 0.0000, loss: 0.0945, grad_norm: 0.0223 2024-01-03 17:25:13,083 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:23:16, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0931, decode.loss_grad: 0.0000, loss: 0.0931, grad_norm: 0.0212 2024-01-03 17:25:16,198 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:23:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0932, decode.loss_grad: 0.0000, loss: 0.0932, grad_norm: 0.0217 2024-01-03 17:25:19,300 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:23:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0224 2024-01-03 17:25:22,390 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:23:05, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0217 2024-01-03 17:25:25,524 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:23:02, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0206 2024-01-03 17:25:28,636 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:22:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0940, decode.loss_grad: 0.0000, loss: 0.0940, grad_norm: 0.0218 2024-01-03 17:25:31,724 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:25:31,736 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:22:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0957, decode.loss_grad: 0.0000, loss: 0.0957, grad_norm: 0.0208 2024-01-03 17:25:34,829 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:22:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0933, decode.loss_grad: 0.0000, loss: 0.0933, grad_norm: 0.0220 2024-01-03 17:25:38,012 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:22:48, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0213 2024-01-03 17:25:41,115 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:22:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0944, decode.loss_grad: 0.0000, loss: 0.0944, grad_norm: 0.0213 2024-01-03 17:25:44,201 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:22:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0227 2024-01-03 17:25:47,294 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:22:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0929, decode.loss_grad: 0.0000, loss: 0.0929, grad_norm: 0.0209 2024-01-03 17:25:50,380 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:22:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0208 2024-01-03 17:25:53,489 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:22:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0943, decode.loss_grad: 0.0000, loss: 0.0943, grad_norm: 0.0221 2024-01-03 17:25:56,571 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:56,571 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:22:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0217 2024-01-03 17:25:59,679 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:22:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0924, decode.loss_grad: 0.0000, loss: 0.0924, grad_norm: 0.0218 2024-01-03 17:26:02,785 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:22:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0938, decode.loss_grad: 0.0000, loss: 0.0938, grad_norm: 0.0219 2024-01-03 17:26:05,882 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:22:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0939, decode.loss_grad: 0.0000, loss: 0.0939, grad_norm: 0.0219 2024-01-03 17:26:11,094 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:22:15, time: 0.104, data_time: 0.044, memory: 877, decode.loss_depth: 0.0930, decode.loss_grad: 0.0000, loss: 0.0930, grad_norm: 0.0220 2024-01-03 17:26:14,187 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:22:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0900, decode.loss_grad: 0.0000, loss: 0.0900, grad_norm: 0.0208 2024-01-03 17:26:17,291 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:22:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0941, decode.loss_grad: 0.0000, loss: 0.0941, grad_norm: 0.0220 2024-01-03 17:26:20,397 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:22:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0909, decode.loss_grad: 0.0000, loss: 0.0909, grad_norm: 0.0212 2024-01-03 17:26:23,537 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:22:00, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0208 2024-01-03 17:26:26,646 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:21:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0206 2024-01-03 17:26:29,773 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:21:53, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0214 2024-01-03 17:26:32,869 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:21:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0898, decode.loss_grad: 0.0000, loss: 0.0898, grad_norm: 0.0211 2024-01-03 17:26:35,968 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:21:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0213 2024-01-03 17:26:39,076 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:21:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0208 2024-01-03 17:26:42,187 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:21:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0904, decode.loss_grad: 0.0000, loss: 0.0904, grad_norm: 0.0209 2024-01-03 17:26:45,288 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:21:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0204 2024-01-03 17:26:48,390 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:21:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0203 2024-01-03 17:26:51,481 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:21:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0209 2024-01-03 17:26:54,587 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:21:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0907, decode.loss_grad: 0.0000, loss: 0.0907, grad_norm: 0.0206 2024-01-03 17:26:57,681 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:21:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0912, decode.loss_grad: 0.0000, loss: 0.0912, grad_norm: 0.0206 2024-01-03 17:27:00,787 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:00,787 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:21:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0918, decode.loss_grad: 0.0000, loss: 0.0918, grad_norm: 0.0212 2024-01-03 17:27:03,861 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:21:15, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0906, decode.loss_grad: 0.0000, loss: 0.0906, grad_norm: 0.0203 2024-01-03 17:27:06,957 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:21:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0913, decode.loss_grad: 0.0000, loss: 0.0913, grad_norm: 0.0211 2024-01-03 17:27:10,159 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:21:08, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0903, decode.loss_grad: 0.0000, loss: 0.0903, grad_norm: 0.0212 2024-01-03 17:27:13,266 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:27:13,283 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:21:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0199 2024-01-03 17:27:19,213 - mmseg - INFO - Summary: 2024-01-03 17:27:19,213 - mmseg - INFO - +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.869 | 0.9855 | 0.9978 | 0.1244 | 0.4078 | 0.0514 | 0.1476 | 11.2431 | 0.0676 | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:27:19,214 - mmseg - INFO - Iter(val) [82] a1: 0.8690, a2: 0.9855, a3: 0.9978, abs_rel: 0.12444233149290085, rmse: 0.4078083634376526, log_10: 0.051399488002061844, rmse_log: 0.1475822925567627, silog: 11.2431, sq_rel: 0.06760792434215546 2024-01-03 17:27:22,319 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:21:07, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.0884, decode.loss_grad: 0.0000, loss: 0.0884, grad_norm: 0.0211 2024-01-03 17:27:25,440 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:21:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0921, decode.loss_grad: 0.0000, loss: 0.0921, grad_norm: 0.0219 2024-01-03 17:27:28,538 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:21:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0216 2024-01-03 17:27:31,650 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:20:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0925, decode.loss_grad: 0.0000, loss: 0.0925, grad_norm: 0.0223 2024-01-03 17:27:34,783 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:20:53, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0920, decode.loss_grad: 0.0000, loss: 0.0920, grad_norm: 0.0210 2024-01-03 17:27:37,873 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:20:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0203 2024-01-03 17:27:40,994 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:20:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0909, decode.loss_grad: 0.0000, loss: 0.0909, grad_norm: 0.0206 2024-01-03 17:27:44,106 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:20:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0217 2024-01-03 17:27:47,205 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:20:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0917, decode.loss_grad: 0.0000, loss: 0.0917, grad_norm: 0.0215 2024-01-03 17:27:52,387 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:20:37, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0911, decode.loss_grad: 0.0000, loss: 0.0911, grad_norm: 0.0220 2024-01-03 17:27:55,493 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:20:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0910, decode.loss_grad: 0.0000, loss: 0.0910, grad_norm: 0.0204 2024-01-03 17:27:58,602 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:20:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0899, decode.loss_grad: 0.0000, loss: 0.0899, grad_norm: 0.0200 2024-01-03 17:28:01,702 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:20:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0889, decode.loss_grad: 0.0000, loss: 0.0889, grad_norm: 0.0204 2024-01-03 17:28:04,841 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:20:23, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0926, decode.loss_grad: 0.0000, loss: 0.0926, grad_norm: 0.0208 2024-01-03 17:28:07,967 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:20:20, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0905, decode.loss_grad: 0.0000, loss: 0.0905, grad_norm: 0.0209 2024-01-03 17:28:11,076 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:11,076 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:20:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0915, decode.loss_grad: 0.0000, loss: 0.0915, grad_norm: 0.0215 2024-01-03 17:28:14,199 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:20:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0884, decode.loss_grad: 0.0000, loss: 0.0884, grad_norm: 0.0220 2024-01-03 17:28:17,369 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:20:10, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0892, decode.loss_grad: 0.0000, loss: 0.0892, grad_norm: 0.0203 2024-01-03 17:28:20,490 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:20:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0890, decode.loss_grad: 0.0000, loss: 0.0890, grad_norm: 0.0208 2024-01-03 17:28:23,647 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:20:03, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0890, decode.loss_grad: 0.0000, loss: 0.0890, grad_norm: 0.0207 2024-01-03 17:28:26,779 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:19:59, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0204 2024-01-03 17:28:29,875 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:19:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0204 2024-01-03 17:28:33,027 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:19:52, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0205 2024-01-03 17:28:36,193 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:19:49, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0914, decode.loss_grad: 0.0000, loss: 0.0914, grad_norm: 0.0208 2024-01-03 17:28:39,348 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:19:45, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0923, decode.loss_grad: 0.0000, loss: 0.0923, grad_norm: 0.0203 2024-01-03 17:28:42,482 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:19:42, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0889, decode.loss_grad: 0.0000, loss: 0.0889, grad_norm: 0.0203 2024-01-03 17:28:45,613 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:19:39, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0888, decode.loss_grad: 0.0000, loss: 0.0888, grad_norm: 0.0207 2024-01-03 17:28:48,722 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:19:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0904, decode.loss_grad: 0.0000, loss: 0.0904, grad_norm: 0.0210 2024-01-03 17:28:51,848 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:19:32, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0205 2024-01-03 17:28:54,965 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:19:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0888, decode.loss_grad: 0.0000, loss: 0.0888, grad_norm: 0.0209 2024-01-03 17:28:58,082 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:19:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0210 2024-01-03 17:29:01,200 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:29:01,214 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:19:21, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0895, decode.loss_grad: 0.0000, loss: 0.0895, grad_norm: 0.0213 2024-01-03 17:29:04,342 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:19:18, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0889, decode.loss_grad: 0.0000, loss: 0.0889, grad_norm: 0.0205 2024-01-03 17:29:07,469 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:19:14, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0876, decode.loss_grad: 0.0000, loss: 0.0876, grad_norm: 0.0212 2024-01-03 17:29:10,573 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:19:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0216 2024-01-03 17:29:13,711 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:13,711 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:19:07, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0879, decode.loss_grad: 0.0000, loss: 0.0879, grad_norm: 0.0207 2024-01-03 17:29:16,833 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:19:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0887, decode.loss_grad: 0.0000, loss: 0.0887, grad_norm: 0.0202 2024-01-03 17:29:19,976 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:19:01, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0904, decode.loss_grad: 0.0000, loss: 0.0904, grad_norm: 0.0208 2024-01-03 17:29:23,124 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:18:57, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0200 2024-01-03 17:29:28,345 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:18:55, time: 0.104, data_time: 0.042, memory: 877, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0210 2024-01-03 17:29:31,478 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:18:52, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0878, decode.loss_grad: 0.0000, loss: 0.0878, grad_norm: 0.0207 2024-01-03 17:29:34,581 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:18:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0902, decode.loss_grad: 0.0000, loss: 0.0902, grad_norm: 0.0218 2024-01-03 17:29:37,706 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:18:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0209 2024-01-03 17:29:40,827 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:18:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0202 2024-01-03 17:29:43,938 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:18:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0189 2024-01-03 17:29:47,070 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:18:35, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0212 2024-01-03 17:29:50,212 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:18:31, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0199 2024-01-03 17:29:53,367 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:18:28, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0201 2024-01-03 17:29:56,484 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:18:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0896, decode.loss_grad: 0.0000, loss: 0.0896, grad_norm: 0.0203 2024-01-03 17:29:59,616 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:18:21, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0885, decode.loss_grad: 0.0000, loss: 0.0885, grad_norm: 0.0210 2024-01-03 17:30:02,774 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:18:18, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0208 2024-01-03 17:30:05,897 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:18:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0208 2024-01-03 17:30:09,025 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:18:11, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0199 2024-01-03 17:30:12,153 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:18:07, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0901, decode.loss_grad: 0.0000, loss: 0.0901, grad_norm: 0.0206 2024-01-03 17:30:15,256 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:18:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0197 2024-01-03 17:30:18,370 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:18,370 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:18:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0196 2024-01-03 17:30:21,483 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:17:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0213 2024-01-03 17:30:24,619 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:17:54, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0891, decode.loss_grad: 0.0000, loss: 0.0891, grad_norm: 0.0223 2024-01-03 17:30:27,753 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:17:50, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0202 2024-01-03 17:30:30,866 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:17:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0201 2024-01-03 17:30:33,970 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:17:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0876, decode.loss_grad: 0.0000, loss: 0.0876, grad_norm: 0.0216 2024-01-03 17:30:37,095 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:17:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0888, decode.loss_grad: 0.0000, loss: 0.0888, grad_norm: 0.0200 2024-01-03 17:30:40,295 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:17:37, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0884, decode.loss_grad: 0.0000, loss: 0.0884, grad_norm: 0.0195 2024-01-03 17:30:43,407 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:30:43,422 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:17:33, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0895, decode.loss_grad: 0.0000, loss: 0.0895, grad_norm: 0.0208 2024-01-03 17:30:49,365 - mmseg - INFO - Summary: 2024-01-03 17:30:49,366 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8788 | 0.9868 | 0.9981 | 0.1183 | 0.3967 | 0.0494 | 0.1432 | 11.2949 | 0.0627 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:30:49,367 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch14_reg4_dinov2.lvd142m/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:30:49,378 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 17:30:49,378 - mmseg - INFO - Best abs_rel is 0.1183 at 22400 iter. 2024-01-03 17:30:49,378 - mmseg - INFO - Iter(val) [82] a1: 0.8788, a2: 0.9868, a3: 0.9981, abs_rel: 0.11825976520776749, rmse: 0.39669445157051086, log_10: 0.04942101985216141, rmse_log: 0.14321327209472656, silog: 11.2949, sq_rel: 0.06272300332784653 2024-01-03 17:30:52,513 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:17:34, time: 0.182, data_time: 0.121, memory: 877, decode.loss_depth: 0.0881, decode.loss_grad: 0.0000, loss: 0.0881, grad_norm: 0.0207 2024-01-03 17:30:55,630 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:17:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0202 2024-01-03 17:30:58,740 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:17:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0204 2024-01-03 17:31:01,861 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:17:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0876, decode.loss_grad: 0.0000, loss: 0.0876, grad_norm: 0.0202 2024-01-03 17:31:04,958 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:17:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0200 2024-01-03 17:31:08,057 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:17:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0886, decode.loss_grad: 0.0000, loss: 0.0886, grad_norm: 0.0199 2024-01-03 17:31:13,229 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:17:15, time: 0.103, data_time: 0.042, memory: 877, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0209 2024-01-03 17:31:16,322 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:17:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0197 2024-01-03 17:31:19,444 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:17:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0203 2024-01-03 17:31:22,542 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:17:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0205 2024-01-03 17:31:25,670 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:17:01, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0202 2024-01-03 17:31:28,779 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:28,779 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:16:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0870, decode.loss_grad: 0.0000, loss: 0.0870, grad_norm: 0.0204 2024-01-03 17:31:31,870 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:16:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0875, decode.loss_grad: 0.0000, loss: 0.0875, grad_norm: 0.0198 2024-01-03 17:31:34,969 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:16:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0879, decode.loss_grad: 0.0000, loss: 0.0879, grad_norm: 0.0198 2024-01-03 17:31:38,092 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:16:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0208 2024-01-03 17:31:41,200 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:16:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0205 2024-01-03 17:31:44,307 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:16:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0883, decode.loss_grad: 0.0000, loss: 0.0883, grad_norm: 0.0221 2024-01-03 17:31:47,422 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:16:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0882, decode.loss_grad: 0.0000, loss: 0.0882, grad_norm: 0.0216 2024-01-03 17:31:50,563 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:16:34, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0879, decode.loss_grad: 0.0000, loss: 0.0879, grad_norm: 0.0207 2024-01-03 17:31:53,693 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:16:30, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0196 2024-01-03 17:31:56,798 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:16:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0194 2024-01-03 17:31:59,897 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:16:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0205 2024-01-03 17:32:03,001 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:16:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0853, decode.loss_grad: 0.0000, loss: 0.0853, grad_norm: 0.0204 2024-01-03 17:32:06,084 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:16:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0209 2024-01-03 17:32:09,150 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:16:13, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0866, decode.loss_grad: 0.0000, loss: 0.0866, grad_norm: 0.0205 2024-01-03 17:32:12,263 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:16:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0877, decode.loss_grad: 0.0000, loss: 0.0877, grad_norm: 0.0212 2024-01-03 17:32:15,396 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:16:06, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0871, decode.loss_grad: 0.0000, loss: 0.0871, grad_norm: 0.0208 2024-01-03 17:32:18,499 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:16:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0204 2024-01-03 17:32:21,616 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:15:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0859, decode.loss_grad: 0.0000, loss: 0.0859, grad_norm: 0.0207 2024-01-03 17:32:24,713 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:15:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0867, decode.loss_grad: 0.0000, loss: 0.0867, grad_norm: 0.0206 2024-01-03 17:32:27,819 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:15:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0199 2024-01-03 17:32:30,920 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:32:30,933 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:30,933 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:15:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0874, decode.loss_grad: 0.0000, loss: 0.0874, grad_norm: 0.0210 2024-01-03 17:32:34,035 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:15:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0195 2024-01-03 17:32:37,135 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:15:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0869, decode.loss_grad: 0.0000, loss: 0.0869, grad_norm: 0.0205 2024-01-03 17:32:40,222 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:15:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0864, decode.loss_grad: 0.0000, loss: 0.0864, grad_norm: 0.0198 2024-01-03 17:32:43,315 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:15:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0199 2024-01-03 17:32:48,489 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:15:33, time: 0.103, data_time: 0.044, memory: 877, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0205 2024-01-03 17:32:51,596 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:15:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0863, decode.loss_grad: 0.0000, loss: 0.0863, grad_norm: 0.0212 2024-01-03 17:32:54,683 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:15:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0862, decode.loss_grad: 0.0000, loss: 0.0862, grad_norm: 0.0195 2024-01-03 17:32:57,786 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:15:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0200 2024-01-03 17:33:00,891 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:15:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0210 2024-01-03 17:33:03,997 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:15:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0202 2024-01-03 17:33:07,095 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:15:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0860, decode.loss_grad: 0.0000, loss: 0.0860, grad_norm: 0.0205 2024-01-03 17:33:10,207 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:15:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0196 2024-01-03 17:33:13,310 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:15:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0857, decode.loss_grad: 0.0000, loss: 0.0857, grad_norm: 0.0205 2024-01-03 17:33:16,425 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:15:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0216 2024-01-03 17:33:19,512 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:14:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0872, decode.loss_grad: 0.0000, loss: 0.0872, grad_norm: 0.0202 2024-01-03 17:33:22,591 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:14:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0852, decode.loss_grad: 0.0000, loss: 0.0852, grad_norm: 0.0197 2024-01-03 17:33:25,713 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:14:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0873, decode.loss_grad: 0.0000, loss: 0.0873, grad_norm: 0.0204 2024-01-03 17:33:28,810 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:14:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0858, decode.loss_grad: 0.0000, loss: 0.0858, grad_norm: 0.0206 2024-01-03 17:33:31,901 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:14:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0851, decode.loss_grad: 0.0000, loss: 0.0851, grad_norm: 0.0211 2024-01-03 17:33:35,000 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:35,000 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:14:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0207 2024-01-03 17:33:38,175 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:14:39, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0200 2024-01-03 17:33:41,273 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:14:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0843, decode.loss_grad: 0.0000, loss: 0.0843, grad_norm: 0.0200 2024-01-03 17:33:44,355 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:14:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0200 2024-01-03 17:33:47,442 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:14:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0853, decode.loss_grad: 0.0000, loss: 0.0853, grad_norm: 0.0204 2024-01-03 17:33:50,534 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:14:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0201 2024-01-03 17:33:53,633 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:14:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0194 2024-01-03 17:33:56,727 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:14:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0194 2024-01-03 17:33:59,822 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:14:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0200 2024-01-03 17:34:02,920 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:14:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0856, decode.loss_grad: 0.0000, loss: 0.0856, grad_norm: 0.0201 2024-01-03 17:34:06,013 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:14:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0193 2024-01-03 17:34:09,114 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:14:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0853, decode.loss_grad: 0.0000, loss: 0.0853, grad_norm: 0.0204 2024-01-03 17:34:12,220 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:34:12,251 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:14:01, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0865, decode.loss_grad: 0.0000, loss: 0.0865, grad_norm: 0.0202 2024-01-03 17:34:18,174 - mmseg - INFO - Summary: 2024-01-03 17:34:18,175 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8795 | 0.9862 | 0.9981 | 0.1189 | 0.3973 | 0.0495 | 0.1434 | 11.2879 | 0.0634 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:34:18,175 - mmseg - INFO - Iter(val) [82] a1: 0.8795, a2: 0.9862, a3: 0.9981, abs_rel: 0.11894649267196655, rmse: 0.3973335921764374, log_10: 0.04947524517774582, rmse_log: 0.1433948129415512, silog: 11.2879, sq_rel: 0.06343970447778702 2024-01-03 17:34:21,279 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:14:01, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.0849, decode.loss_grad: 0.0000, loss: 0.0849, grad_norm: 0.0205 2024-01-03 17:34:24,374 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:13:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0863, decode.loss_grad: 0.0000, loss: 0.0863, grad_norm: 0.0203 2024-01-03 17:34:29,542 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:13:55, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0848, decode.loss_grad: 0.0000, loss: 0.0848, grad_norm: 0.0207 2024-01-03 17:34:32,639 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:13:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0186 2024-01-03 17:34:35,756 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:13:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0824, decode.loss_grad: 0.0000, loss: 0.0824, grad_norm: 0.0186 2024-01-03 17:34:38,864 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:13:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0197 2024-01-03 17:34:41,984 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:13:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0840, decode.loss_grad: 0.0000, loss: 0.0840, grad_norm: 0.0203 2024-01-03 17:34:45,084 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:45,084 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:13:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0854, decode.loss_grad: 0.0000, loss: 0.0854, grad_norm: 0.0209 2024-01-03 17:34:48,182 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:13:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0199 2024-01-03 17:34:51,326 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:13:32, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0201 2024-01-03 17:34:54,413 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:13:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0206 2024-01-03 17:34:57,498 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:13:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0846, decode.loss_grad: 0.0000, loss: 0.0846, grad_norm: 0.0203 2024-01-03 17:35:00,602 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:13:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0200 2024-01-03 17:35:03,699 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:13:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0201 2024-01-03 17:35:06,781 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:13:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0198 2024-01-03 17:35:09,882 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:13:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0199 2024-01-03 17:35:12,978 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:13:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0195 2024-01-03 17:35:16,090 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:13:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0200 2024-01-03 17:35:19,183 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:13:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0198 2024-01-03 17:35:22,275 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:12:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0841, decode.loss_grad: 0.0000, loss: 0.0841, grad_norm: 0.0200 2024-01-03 17:35:25,367 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:12:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0198 2024-01-03 17:35:28,469 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:12:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0830, decode.loss_grad: 0.0000, loss: 0.0830, grad_norm: 0.0199 2024-01-03 17:35:31,566 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:12:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0198 2024-01-03 17:35:34,684 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:12:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0201 2024-01-03 17:35:37,788 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:12:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0855, decode.loss_grad: 0.0000, loss: 0.0855, grad_norm: 0.0198 2024-01-03 17:35:40,885 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:12:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0194 2024-01-03 17:35:43,996 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:12:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0850, decode.loss_grad: 0.0000, loss: 0.0850, grad_norm: 0.0203 2024-01-03 17:35:47,094 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:47,094 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:12:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0205 2024-01-03 17:35:50,187 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:12:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0196 2024-01-03 17:35:53,269 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:12:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0201 2024-01-03 17:35:56,386 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:12:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0197 2024-01-03 17:35:59,473 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:35:59,484 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:12:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0198 2024-01-03 17:36:02,567 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:12:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0192 2024-01-03 17:36:07,776 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:12:11, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0197 2024-01-03 17:36:10,868 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:12:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0194 2024-01-03 17:36:13,973 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:12:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0194 2024-01-03 17:36:17,072 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:12:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0195 2024-01-03 17:36:20,179 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:11:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0196 2024-01-03 17:36:23,261 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:11:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0202 2024-01-03 17:36:26,344 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:11:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0196 2024-01-03 17:36:29,415 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:11:48, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0199 2024-01-03 17:36:32,521 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:11:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0198 2024-01-03 17:36:35,637 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:11:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0195 2024-01-03 17:36:38,729 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:11:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0205 2024-01-03 17:36:41,815 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:11:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0196 2024-01-03 17:36:44,923 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:11:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0194 2024-01-03 17:36:48,037 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:11:27, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0201 2024-01-03 17:36:51,133 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:51,133 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:11:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0202 2024-01-03 17:36:54,208 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:11:21, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0853, decode.loss_grad: 0.0000, loss: 0.0853, grad_norm: 0.0209 2024-01-03 17:36:57,303 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:11:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0837, decode.loss_grad: 0.0000, loss: 0.0837, grad_norm: 0.0195 2024-01-03 17:37:00,402 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:11:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0199 2024-01-03 17:37:03,493 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:11:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0198 2024-01-03 17:37:06,592 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:11:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0199 2024-01-03 17:37:09,703 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:11:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0842, decode.loss_grad: 0.0000, loss: 0.0842, grad_norm: 0.0195 2024-01-03 17:37:12,781 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:11:00, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0200 2024-01-03 17:37:15,899 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:10:57, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0833, decode.loss_grad: 0.0000, loss: 0.0833, grad_norm: 0.0198 2024-01-03 17:37:18,992 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:10:54, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0200 2024-01-03 17:37:22,108 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:10:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0194 2024-01-03 17:37:25,206 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:10:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0193 2024-01-03 17:37:28,295 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:10:44, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0845, decode.loss_grad: 0.0000, loss: 0.0845, grad_norm: 0.0198 2024-01-03 17:37:31,393 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:10:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0199 2024-01-03 17:37:34,475 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:10:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0847, decode.loss_grad: 0.0000, loss: 0.0847, grad_norm: 0.0202 2024-01-03 17:37:37,566 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:10:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0198 2024-01-03 17:37:42,736 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:37:42,751 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:10:31, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0199 2024-01-03 17:37:48,683 - mmseg - INFO - Summary: 2024-01-03 17:37:48,684 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8774 | 0.9862 | 0.9981 | 0.1191 | 0.3974 | 0.0496 | 0.1436 | 11.2881 | 0.0635 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:37:48,684 - mmseg - INFO - Iter(val) [82] a1: 0.8774, a2: 0.9862, a3: 0.9981, abs_rel: 0.11914452165365219, rmse: 0.39736780524253845, log_10: 0.049604035913944244, rmse_log: 0.1436353623867035, silog: 11.2881, sq_rel: 0.06346739083528519 2024-01-03 17:37:51,789 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:10:30, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0195 2024-01-03 17:37:54,897 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:10:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0195 2024-01-03 17:37:57,981 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:10:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0198 2024-01-03 17:38:01,079 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:01,079 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:10:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0188 2024-01-03 17:38:04,177 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:10:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0831, decode.loss_grad: 0.0000, loss: 0.0831, grad_norm: 0.0197 2024-01-03 17:38:07,297 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:10:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0201 2024-01-03 17:38:10,393 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:10:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0839, decode.loss_grad: 0.0000, loss: 0.0839, grad_norm: 0.0197 2024-01-03 17:38:13,495 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:10:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0196 2024-01-03 17:38:16,595 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:10:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0190 2024-01-03 17:38:19,678 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:09:59, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0190 2024-01-03 17:38:22,795 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:09:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0838, decode.loss_grad: 0.0000, loss: 0.0838, grad_norm: 0.0198 2024-01-03 17:38:25,905 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:09:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0196 2024-01-03 17:38:29,020 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:09:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0835, decode.loss_grad: 0.0000, loss: 0.0835, grad_norm: 0.0200 2024-01-03 17:38:32,320 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:09:46, time: 0.066, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0189 2024-01-03 17:38:35,455 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:09:43, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0193 2024-01-03 17:38:38,567 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:09:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0816, decode.loss_grad: 0.0000, loss: 0.0816, grad_norm: 0.0196 2024-01-03 17:38:41,682 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:09:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0192 2024-01-03 17:38:44,819 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:09:33, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0190 2024-01-03 17:38:47,951 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:09:29, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0189 2024-01-03 17:38:51,133 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:09:26, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0193 2024-01-03 17:38:54,311 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:09:23, time: 0.064, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0199 2024-01-03 17:38:57,427 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:09:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0198 2024-01-03 17:39:00,537 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:09:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0196 2024-01-03 17:39:03,675 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:03,676 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:09:13, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0196 2024-01-03 17:39:06,783 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:09:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0192 2024-01-03 17:39:09,918 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:09:06, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0185 2024-01-03 17:39:13,036 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:09:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0194 2024-01-03 17:39:16,152 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:08:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0195 2024-01-03 17:39:19,281 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:08:56, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0189 2024-01-03 17:39:24,472 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:08:53, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0194 2024-01-03 17:39:27,587 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:08:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0191 2024-01-03 17:39:30,707 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:39:30,722 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:08:46, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0192 2024-01-03 17:39:33,980 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:08:43, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0194 2024-01-03 17:39:37,105 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:08:40, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0187 2024-01-03 17:39:40,265 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:08:36, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0197 2024-01-03 17:39:43,396 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:08:33, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0195 2024-01-03 17:39:46,520 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:08:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0191 2024-01-03 17:39:49,661 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:08:26, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0189 2024-01-03 17:39:52,783 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:08:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0197 2024-01-03 17:39:55,871 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:08:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0194 2024-01-03 17:39:58,978 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:08:16, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0187 2024-01-03 17:40:02,105 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:08:13, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0195 2024-01-03 17:40:05,225 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:08:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0199 2024-01-03 17:40:08,337 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:08,337 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:08:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0832, decode.loss_grad: 0.0000, loss: 0.0832, grad_norm: 0.0189 2024-01-03 17:40:11,451 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:08:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0187 2024-01-03 17:40:14,596 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:08:00, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0196 2024-01-03 17:40:17,749 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:07:57, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0186 2024-01-03 17:40:20,860 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:07:53, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0190 2024-01-03 17:40:23,970 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:07:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0197 2024-01-03 17:40:27,100 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:07:47, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0193 2024-01-03 17:40:30,205 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:07:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0186 2024-01-03 17:40:33,299 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:07:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0187 2024-01-03 17:40:36,409 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:07:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0188 2024-01-03 17:40:39,540 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:07:33, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0191 2024-01-03 17:40:42,641 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:07:30, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0196 2024-01-03 17:40:45,736 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:07:27, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0190 2024-01-03 17:40:49,007 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:07:23, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0829, decode.loss_grad: 0.0000, loss: 0.0829, grad_norm: 0.0196 2024-01-03 17:40:52,101 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:07:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0834, decode.loss_grad: 0.0000, loss: 0.0834, grad_norm: 0.0193 2024-01-03 17:40:55,228 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:07:17, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0836, decode.loss_grad: 0.0000, loss: 0.0836, grad_norm: 0.0192 2024-01-03 17:41:00,400 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:07:14, time: 0.103, data_time: 0.043, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0195 2024-01-03 17:41:03,479 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:07:10, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0782, decode.loss_grad: 0.0000, loss: 0.0782, grad_norm: 0.0189 2024-01-03 17:41:06,583 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:07:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0186 2024-01-03 17:41:09,683 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:07:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0200 2024-01-03 17:41:12,782 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:41:12,796 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:12,796 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:07:00, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0190 2024-01-03 17:41:18,722 - mmseg - INFO - Summary: 2024-01-03 17:41:18,723 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8794 | 0.9863 | 0.9981 | 0.1183 | 0.3969 | 0.0495 | 0.1433 | 11.3215 | 0.0628 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:41:18,723 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:18,723 - mmseg - INFO - Iter(val) [82] a1: 0.8794, a2: 0.9863, a3: 0.9981, abs_rel: 0.11834518611431122, rmse: 0.3968952000141144, log_10: 0.049458518624305725, rmse_log: 0.1433466672897339, silog: 11.3215, sq_rel: 0.06277765333652496 2024-01-03 17:41:21,823 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:06:58, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.0828, decode.loss_grad: 0.0000, loss: 0.0828, grad_norm: 0.0195 2024-01-03 17:41:24,922 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:06:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0822, decode.loss_grad: 0.0000, loss: 0.0822, grad_norm: 0.0185 2024-01-03 17:41:28,039 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:06:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0191 2024-01-03 17:41:31,118 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:06:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0197 2024-01-03 17:41:34,225 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:06:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0197 2024-01-03 17:41:37,319 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:06:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0189 2024-01-03 17:41:40,418 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:06:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0188 2024-01-03 17:41:43,524 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:06:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0189 2024-01-03 17:41:46,660 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:06:32, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0186 2024-01-03 17:41:49,747 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:06:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0198 2024-01-03 17:41:52,856 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:06:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0189 2024-01-03 17:41:55,958 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:06:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0186 2024-01-03 17:41:59,065 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:06:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0188 2024-01-03 17:42:02,176 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:06:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0187 2024-01-03 17:42:05,271 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:06:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0823, decode.loss_grad: 0.0000, loss: 0.0823, grad_norm: 0.0189 2024-01-03 17:42:08,356 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:06:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0194 2024-01-03 17:42:11,463 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:06:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0184 2024-01-03 17:42:14,559 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:06:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0190 2024-01-03 17:42:17,679 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:05:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0194 2024-01-03 17:42:20,780 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:20,780 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:05:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0825, decode.loss_grad: 0.0000, loss: 0.0825, grad_norm: 0.0193 2024-01-03 17:42:23,899 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:05:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0182 2024-01-03 17:42:27,006 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:05:48, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0185 2024-01-03 17:42:30,105 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:05:45, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0817, decode.loss_grad: 0.0000, loss: 0.0817, grad_norm: 0.0191 2024-01-03 17:42:33,204 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:05:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0191 2024-01-03 17:42:36,302 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:05:38, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0191 2024-01-03 17:42:39,407 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:05:35, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0183 2024-01-03 17:42:44,585 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:05:32, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0187 2024-01-03 17:42:47,679 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:05:29, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0186 2024-01-03 17:42:50,778 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:05:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0179 2024-01-03 17:42:53,871 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:05:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0814, decode.loss_grad: 0.0000, loss: 0.0814, grad_norm: 0.0194 2024-01-03 17:42:56,985 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:05:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0827, decode.loss_grad: 0.0000, loss: 0.0827, grad_norm: 0.0190 2024-01-03 17:43:00,091 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:43:00,109 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:05:15, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0188 2024-01-03 17:43:03,214 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:05:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0189 2024-01-03 17:43:06,322 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:05:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0191 2024-01-03 17:43:09,452 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:05:06, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0183 2024-01-03 17:43:12,570 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:05:02, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0186 2024-01-03 17:43:15,690 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0184 2024-01-03 17:43:18,778 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0185 2024-01-03 17:43:21,872 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0185 2024-01-03 17:43:24,979 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:24,979 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0180 2024-01-03 17:43:28,076 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:04:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0826, decode.loss_grad: 0.0000, loss: 0.0826, grad_norm: 0.0188 2024-01-03 17:43:31,182 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:04:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0187 2024-01-03 17:43:34,275 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:04:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0189 2024-01-03 17:43:37,374 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:04:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0188 2024-01-03 17:43:40,466 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:04:32, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0190 2024-01-03 17:43:43,541 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:04:29, time: 0.061, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0189 2024-01-03 17:43:46,632 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:04:26, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0190 2024-01-03 17:43:49,745 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:04:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0179 2024-01-03 17:43:52,861 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:04:19, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0186 2024-01-03 17:43:56,133 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:04:16, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0193 2024-01-03 17:43:59,240 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:04:13, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0180 2024-01-03 17:44:02,367 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:04:09, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0183 2024-01-03 17:44:05,461 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:04:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0812, decode.loss_grad: 0.0000, loss: 0.0812, grad_norm: 0.0186 2024-01-03 17:44:08,554 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:04:03, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0183 2024-01-03 17:44:11,671 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0178 2024-01-03 17:44:14,762 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:56, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0193 2024-01-03 17:44:19,954 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:53, time: 0.104, data_time: 0.044, memory: 877, decode.loss_depth: 0.0783, decode.loss_grad: 0.0000, loss: 0.0783, grad_norm: 0.0182 2024-01-03 17:44:23,039 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:50, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0182 2024-01-03 17:44:26,141 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:46, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0176 2024-01-03 17:44:29,256 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:29,256 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:43, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0185 2024-01-03 17:44:32,346 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:40, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0181 2024-01-03 17:44:35,455 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0188 2024-01-03 17:44:38,567 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:03:33, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0186 2024-01-03 17:44:41,650 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:44:41,664 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:03:30, time: 0.062, data_time: 0.001, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0185 2024-01-03 17:44:47,610 - mmseg - INFO - Summary: 2024-01-03 17:44:47,611 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8792 | 0.9862 | 0.9981 | 0.1186 | 0.3962 | 0.0494 | 0.1433 | 11.2927 | 0.063 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:44:47,611 - mmseg - INFO - Iter(val) [82] a1: 0.8792, a2: 0.9862, a3: 0.9981, abs_rel: 0.11862441897392273, rmse: 0.3962113857269287, log_10: 0.049438685178756714, rmse_log: 0.14328338205814362, silog: 11.2927, sq_rel: 0.06295393407344818 2024-01-03 17:44:50,695 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:03:27, time: 0.181, data_time: 0.120, memory: 877, decode.loss_depth: 0.0804, decode.loss_grad: 0.0000, loss: 0.0804, grad_norm: 0.0190 2024-01-03 17:44:53,786 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:03:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0183 2024-01-03 17:44:56,896 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:03:20, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0185 2024-01-03 17:45:00,016 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:03:17, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0801, decode.loss_grad: 0.0000, loss: 0.0801, grad_norm: 0.0185 2024-01-03 17:45:03,104 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:03:14, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0188 2024-01-03 17:45:06,221 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:03:10, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0796, decode.loss_grad: 0.0000, loss: 0.0796, grad_norm: 0.0179 2024-01-03 17:45:09,330 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:03:07, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0818, decode.loss_grad: 0.0000, loss: 0.0818, grad_norm: 0.0191 2024-01-03 17:45:12,437 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:03:04, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0811, decode.loss_grad: 0.0000, loss: 0.0811, grad_norm: 0.0185 2024-01-03 17:45:15,573 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:03:01, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0178 2024-01-03 17:45:18,716 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:57, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0185 2024-01-03 17:45:21,949 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:54, time: 0.065, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0182 2024-01-03 17:45:25,073 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0187 2024-01-03 17:45:28,170 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:47, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0182 2024-01-03 17:45:31,308 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:44, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0180 2024-01-03 17:45:34,428 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0786, decode.loss_grad: 0.0000, loss: 0.0786, grad_norm: 0.0186 2024-01-03 17:45:37,539 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:37,539 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:37, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0189 2024-01-03 17:45:40,662 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:34, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0186 2024-01-03 17:45:43,784 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:31, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0182 2024-01-03 17:45:46,893 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:28, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0807, decode.loss_grad: 0.0000, loss: 0.0807, grad_norm: 0.0186 2024-01-03 17:45:49,988 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:24, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0799, decode.loss_grad: 0.0000, loss: 0.0799, grad_norm: 0.0186 2024-01-03 17:45:53,120 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:02:21, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0188 2024-01-03 17:45:56,246 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:02:18, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0180 2024-01-03 17:46:01,422 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:02:14, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0177 2024-01-03 17:46:04,540 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:02:11, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0177 2024-01-03 17:46:07,640 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:02:08, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0186 2024-01-03 17:46:10,765 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:02:05, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0781, decode.loss_grad: 0.0000, loss: 0.0781, grad_norm: 0.0181 2024-01-03 17:46:13,863 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:02:01, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0805, decode.loss_grad: 0.0000, loss: 0.0805, grad_norm: 0.0181 2024-01-03 17:46:16,974 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:58, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0810, decode.loss_grad: 0.0000, loss: 0.0810, grad_norm: 0.0189 2024-01-03 17:46:20,100 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:55, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0175 2024-01-03 17:46:23,222 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:51, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0176 2024-01-03 17:46:26,374 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:48, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0178 2024-01-03 17:46:29,504 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:46:29,515 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:45, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0798, decode.loss_grad: 0.0000, loss: 0.0798, grad_norm: 0.0184 2024-01-03 17:46:32,621 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:41, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0183 2024-01-03 17:46:35,753 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:38, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0183 2024-01-03 17:46:38,888 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:35, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0187 2024-01-03 17:46:42,022 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:46:42,023 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:32, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0790, decode.loss_grad: 0.0000, loss: 0.0790, grad_norm: 0.0192 2024-01-03 17:46:45,187 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:28, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0789, decode.loss_grad: 0.0000, loss: 0.0789, grad_norm: 0.0177 2024-01-03 17:46:48,287 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:25, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0809, decode.loss_grad: 0.0000, loss: 0.0809, grad_norm: 0.0184 2024-01-03 17:46:51,395 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:22, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0788, decode.loss_grad: 0.0000, loss: 0.0788, grad_norm: 0.0184 2024-01-03 17:46:54,496 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:18, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0797, decode.loss_grad: 0.0000, loss: 0.0797, grad_norm: 0.0180 2024-01-03 17:46:57,626 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:15, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0185 2024-01-03 17:47:00,736 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:12, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0802, decode.loss_grad: 0.0000, loss: 0.0802, grad_norm: 0.0186 2024-01-03 17:47:03,852 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:01:09, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0821, decode.loss_grad: 0.0000, loss: 0.0821, grad_norm: 0.0185 2024-01-03 17:47:06,965 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:01:05, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0800, decode.loss_grad: 0.0000, loss: 0.0800, grad_norm: 0.0187 2024-01-03 17:47:10,099 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:01:02, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0180 2024-01-03 17:47:13,220 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:59, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0181 2024-01-03 17:47:16,329 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:55, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0819, decode.loss_grad: 0.0000, loss: 0.0819, grad_norm: 0.0181 2024-01-03 17:47:19,453 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:52, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0183 2024-01-03 17:47:22,574 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:49, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0808, decode.loss_grad: 0.0000, loss: 0.0808, grad_norm: 0.0178 2024-01-03 17:47:25,709 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:45, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0787, decode.loss_grad: 0.0000, loss: 0.0787, grad_norm: 0.0185 2024-01-03 17:47:28,833 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:42, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0815, decode.loss_grad: 0.0000, loss: 0.0815, grad_norm: 0.0183 2024-01-03 17:47:31,947 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:39, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0806, decode.loss_grad: 0.0000, loss: 0.0806, grad_norm: 0.0179 2024-01-03 17:47:35,055 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:36, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0179 2024-01-03 17:47:40,255 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:32, time: 0.104, data_time: 0.043, memory: 877, decode.loss_depth: 0.0794, decode.loss_grad: 0.0000, loss: 0.0794, grad_norm: 0.0183 2024-01-03 17:47:43,388 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:29, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0803, decode.loss_grad: 0.0000, loss: 0.0803, grad_norm: 0.0185 2024-01-03 17:47:46,537 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:47:46,537 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:26, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0813, decode.loss_grad: 0.0000, loss: 0.0813, grad_norm: 0.0181 2024-01-03 17:47:49,649 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:23, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0182 2024-01-03 17:47:52,785 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:19, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0793, decode.loss_grad: 0.0000, loss: 0.0793, grad_norm: 0.0183 2024-01-03 17:47:55,928 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:16, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0774, decode.loss_grad: 0.0000, loss: 0.0774, grad_norm: 0.0181 2024-01-03 17:47:59,073 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:13, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0795, decode.loss_grad: 0.0000, loss: 0.0795, grad_norm: 0.0178 2024-01-03 17:48:02,232 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:09, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0780, decode.loss_grad: 0.0000, loss: 0.0780, grad_norm: 0.0181 2024-01-03 17:48:05,343 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:06, time: 0.062, data_time: 0.002, memory: 877, decode.loss_depth: 0.0791, decode.loss_grad: 0.0000, loss: 0.0791, grad_norm: 0.0186 2024-01-03 17:48:08,482 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:03, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0792, decode.loss_grad: 0.0000, loss: 0.0792, grad_norm: 0.0176 2024-01-03 17:48:11,601 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:48:11,620 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.063, data_time: 0.002, memory: 877, decode.loss_depth: 0.0820, decode.loss_grad: 0.0000, loss: 0.0820, grad_norm: 0.0188 2024-01-03 17:48:17,545 - mmseg - INFO - Summary: 2024-01-03 17:48:17,546 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.8786 | 0.9862 | 0.9981 | 0.119 | 0.3969 | 0.0495 | 0.1435 | 11.2967 | 0.0633 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:48:17,546 - mmseg - INFO - Iter(val) [82] a1: 0.8786, a2: 0.9862, a3: 0.9981, abs_rel: 0.11903964728116989, rmse: 0.39692357182502747, log_10: 0.049537017941474915, rmse_log: 0.1435038149356842, silog: 11.2967, sq_rel: 0.06334052979946136