2024-01-03 17:10:25,578 - 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 17:10:25,579 - mmseg - INFO - Distributed training: True 2024-01-03 17:10:25,580 - 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_patch16_clip_384.laion2b_ft_in12k_in1k', 'gpu_ids': range(0, 1)} 2024-01-03 17:10:30,251 - mmseg - INFO - Loading backbone from vit_base_patch16_clip_384.laion2b_ft_in12k_in1k 2024-01-03 17:10:30,272 - 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 17:10:30,343 - mmseg - INFO - Loaded 24231 images. Totally 0 invalid pairs are filtered 2024-01-03 17:10:30,971 - mmseg - INFO - Loaded 654 images. Totally 0 invalid pairs are filtered 2024-01-03 17:10:30,971 - mmseg - INFO - Start running, host: root, work_dir: ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k 2024-01-03 17:10:30,971 - 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 17:10:30,971 - mmseg - INFO - workflow: [('train', 1)], max: 38400 iters 2024-01-03 17:10:30,971 - mmseg - INFO - Checkpoints will be saved to ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k by HardDiskBackend. 2024-01-03 17:10:48,798 - mmseg - INFO - Iter [50/38400] lr: 2.412e-05, eta: 1:19:48, time: 0.125, data_time: 0.004, memory: 751, decode.loss_depth: 0.2215, decode.loss_grad: 0.0000, loss: 0.2215, grad_norm: 0.5036 2024-01-03 17:10:51,390 - mmseg - INFO - Iter [100/38400] lr: 4.363e-05, eta: 0:56:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.0981, decode.loss_grad: 0.0000, loss: 0.0981, grad_norm: 0.3394 2024-01-03 17:10:54,003 - mmseg - INFO - Iter [150/38400] lr: 6.314e-05, eta: 0:48:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.4320, decode.loss_grad: 0.0000, loss: 0.4320, grad_norm: 0.2365 2024-01-03 17:10:56,583 - mmseg - INFO - Iter [200/38400] lr: 8.265e-05, eta: 0:44:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.3932, decode.loss_grad: 0.0000, loss: 0.3932, grad_norm: 0.2116 2024-01-03 17:10:59,186 - mmseg - INFO - Iter [250/38400] lr: 1.022e-04, eta: 0:42:17, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.3517, decode.loss_grad: 0.0000, loss: 0.3517, grad_norm: 0.2415 2024-01-03 17:11:01,752 - mmseg - INFO - Iter [300/38400] lr: 1.217e-04, eta: 0:40:37, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.3127, decode.loss_grad: 0.0000, loss: 0.3127, grad_norm: 0.2604 2024-01-03 17:11:04,338 - mmseg - INFO - Iter [350/38400] lr: 1.412e-04, eta: 0:39:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2914, decode.loss_grad: 0.0000, loss: 0.2914, grad_norm: 0.2837 2024-01-03 17:11:06,912 - mmseg - INFO - Iter [400/38400] lr: 1.607e-04, eta: 0:38:33, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2693, decode.loss_grad: 0.0000, loss: 0.2693, grad_norm: 0.2721 2024-01-03 17:11:09,492 - mmseg - INFO - Iter [450/38400] lr: 1.802e-04, eta: 0:37:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2548, decode.loss_grad: 0.0000, loss: 0.2548, grad_norm: 0.2751 2024-01-03 17:11:12,060 - mmseg - INFO - Iter [500/38400] lr: 1.996e-04, eta: 0:37:16, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2553, decode.loss_grad: 0.0000, loss: 0.2553, grad_norm: 0.2827 2024-01-03 17:11:14,635 - mmseg - INFO - Iter [550/38400] lr: 2.191e-04, eta: 0:36:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2532, decode.loss_grad: 0.0000, loss: 0.2532, grad_norm: 0.2618 2024-01-03 17:11:17,197 - mmseg - INFO - Iter [600/38400] lr: 2.386e-04, eta: 0:36:22, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2387, decode.loss_grad: 0.0000, loss: 0.2387, grad_norm: 0.2700 2024-01-03 17:11:19,762 - mmseg - INFO - Iter [650/38400] lr: 2.581e-04, eta: 0:36:00, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2403, decode.loss_grad: 0.0000, loss: 0.2403, grad_norm: 0.2637 2024-01-03 17:11:22,343 - mmseg - INFO - Iter [700/38400] lr: 2.775e-04, eta: 0:35:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2324, decode.loss_grad: 0.0000, loss: 0.2324, grad_norm: 0.2543 2024-01-03 17:11:24,915 - mmseg - INFO - Iter [750/38400] lr: 2.970e-04, eta: 0:35:26, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2262, decode.loss_grad: 0.0000, loss: 0.2262, grad_norm: 0.2460 2024-01-03 17:11:27,506 - mmseg - INFO - Iter [800/38400] lr: 3.165e-04, eta: 0:35:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2326, decode.loss_grad: 0.0000, loss: 0.2326, grad_norm: 0.2556 2024-01-03 17:11:30,056 - mmseg - INFO - Iter [850/38400] lr: 3.359e-04, eta: 0:34:58, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2219, decode.loss_grad: 0.0000, loss: 0.2219, grad_norm: 0.2433 2024-01-03 17:11:32,629 - mmseg - INFO - Iter [900/38400] lr: 3.553e-04, eta: 0:34:46, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2225, decode.loss_grad: 0.0000, loss: 0.2225, grad_norm: 0.2356 2024-01-03 17:11:35,200 - mmseg - INFO - Iter [950/38400] lr: 3.748e-04, eta: 0:34:35, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2201, decode.loss_grad: 0.0000, loss: 0.2201, grad_norm: 0.2273 2024-01-03 17:11:37,741 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:11:37,741 - mmseg - INFO - Iter [1000/38400] lr: 3.942e-04, eta: 0:34:23, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2172, decode.loss_grad: 0.0000, loss: 0.2172, grad_norm: 0.2336 2024-01-03 17:11:40,303 - mmseg - INFO - Iter [1050/38400] lr: 4.136e-04, eta: 0:34:14, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2150, decode.loss_grad: 0.0000, loss: 0.2150, grad_norm: 0.2417 2024-01-03 17:11:42,866 - mmseg - INFO - Iter [1100/38400] lr: 4.330e-04, eta: 0:34:05, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2167, decode.loss_grad: 0.0000, loss: 0.2167, grad_norm: 0.2213 2024-01-03 17:11:45,463 - mmseg - INFO - Iter [1150/38400] lr: 4.524e-04, eta: 0:33:57, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.2111, decode.loss_grad: 0.0000, loss: 0.2111, grad_norm: 0.2226 2024-01-03 17:11:48,016 - mmseg - INFO - Iter [1200/38400] lr: 4.718e-04, eta: 0:33:49, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2077, decode.loss_grad: 0.0000, loss: 0.2077, grad_norm: 0.2338 2024-01-03 17:11:50,578 - mmseg - INFO - Iter [1250/38400] lr: 4.911e-04, eta: 0:33:41, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2117, decode.loss_grad: 0.0000, loss: 0.2117, grad_norm: 0.2071 2024-01-03 17:11:53,132 - mmseg - INFO - Iter [1300/38400] lr: 5.105e-04, eta: 0:33:34, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2073, decode.loss_grad: 0.0000, loss: 0.2073, grad_norm: 0.2058 2024-01-03 17:11:55,712 - mmseg - INFO - Iter [1350/38400] lr: 5.298e-04, eta: 0:33:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2056, decode.loss_grad: 0.0000, loss: 0.2056, grad_norm: 0.1987 2024-01-03 17:11:58,285 - mmseg - INFO - Iter [1400/38400] lr: 5.491e-04, eta: 0:33:21, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2036, decode.loss_grad: 0.0000, loss: 0.2036, grad_norm: 0.1918 2024-01-03 17:12:00,849 - mmseg - INFO - Iter [1450/38400] lr: 5.684e-04, eta: 0:33:15, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.2009, decode.loss_grad: 0.0000, loss: 0.2009, grad_norm: 0.2039 2024-01-03 17:12:03,437 - mmseg - INFO - Iter [1500/38400] lr: 5.877e-04, eta: 0:33:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.2015, decode.loss_grad: 0.0000, loss: 0.2015, grad_norm: 0.1969 2024-01-03 17:12:08,112 - mmseg - INFO - Iter [1550/38400] lr: 6.070e-04, eta: 0:33:53, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1987, decode.loss_grad: 0.0000, loss: 0.1987, grad_norm: 0.1930 2024-01-03 17:12:10,682 - mmseg - INFO - Saving checkpoint at 1600 iterations 2024-01-03 17:12:10,699 - mmseg - INFO - Iter [1600/38400] lr: 6.263e-04, eta: 0:33:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1962, decode.loss_grad: 0.0000, loss: 0.1962, grad_norm: 0.1772 2024-01-03 17:12:13,246 - mmseg - INFO - Iter [1650/38400] lr: 6.456e-04, eta: 0:33:39, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1950, decode.loss_grad: 0.0000, loss: 0.1950, grad_norm: 0.1907 2024-01-03 17:12:15,852 - mmseg - INFO - Iter [1700/38400] lr: 6.648e-04, eta: 0:33:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1953, decode.loss_grad: 0.0000, loss: 0.1953, grad_norm: 0.1853 2024-01-03 17:12:18,444 - mmseg - INFO - Iter [1750/38400] lr: 6.840e-04, eta: 0:33:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1970, decode.loss_grad: 0.0000, loss: 0.1970, grad_norm: 0.1838 2024-01-03 17:12:21,049 - mmseg - INFO - Iter [1800/38400] lr: 7.032e-04, eta: 0:33:22, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1890, decode.loss_grad: 0.0000, loss: 0.1890, grad_norm: 0.1758 2024-01-03 17:12:23,644 - mmseg - INFO - Iter [1850/38400] lr: 7.224e-04, eta: 0:33:17, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1946, decode.loss_grad: 0.0000, loss: 0.1946, grad_norm: 0.1665 2024-01-03 17:12:26,212 - mmseg - INFO - Iter [1900/38400] lr: 7.416e-04, eta: 0:33:11, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1932, decode.loss_grad: 0.0000, loss: 0.1932, grad_norm: 0.1818 2024-01-03 17:12:28,835 - mmseg - INFO - Iter [1950/38400] lr: 7.607e-04, eta: 0:33:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1898, decode.loss_grad: 0.0000, loss: 0.1898, grad_norm: 0.1717 2024-01-03 17:12:31,439 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:12:31,439 - mmseg - INFO - Iter [2000/38400] lr: 7.798e-04, eta: 0:33:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1917, decode.loss_grad: 0.0000, loss: 0.1917, grad_norm: 0.1741 2024-01-03 17:12:34,006 - mmseg - INFO - Iter [2050/38400] lr: 7.990e-04, eta: 0:32:56, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1910, decode.loss_grad: 0.0000, loss: 0.1910, grad_norm: 0.1759 2024-01-03 17:12:36,584 - mmseg - INFO - Iter [2100/38400] lr: 8.180e-04, eta: 0:32:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1900, decode.loss_grad: 0.0000, loss: 0.1900, grad_norm: 0.1611 2024-01-03 17:12:39,170 - mmseg - INFO - Iter [2150/38400] lr: 8.371e-04, eta: 0:32:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1884, decode.loss_grad: 0.0000, loss: 0.1884, grad_norm: 0.1655 2024-01-03 17:12:41,777 - mmseg - INFO - Iter [2200/38400] lr: 8.562e-04, eta: 0:32:41, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1842, decode.loss_grad: 0.0000, loss: 0.1842, grad_norm: 0.1558 2024-01-03 17:12:44,376 - mmseg - INFO - Iter [2250/38400] lr: 8.752e-04, eta: 0:32:37, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1865, decode.loss_grad: 0.0000, loss: 0.1865, grad_norm: 0.1653 2024-01-03 17:12:46,962 - mmseg - INFO - Iter [2300/38400] lr: 8.942e-04, eta: 0:32:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1856, decode.loss_grad: 0.0000, loss: 0.1856, grad_norm: 0.1504 2024-01-03 17:12:49,578 - mmseg - INFO - Iter [2350/38400] lr: 9.132e-04, eta: 0:32:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1848, decode.loss_grad: 0.0000, loss: 0.1848, grad_norm: 0.1545 2024-01-03 17:12:52,158 - mmseg - INFO - Iter [2400/38400] lr: 9.321e-04, eta: 0:32:23, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1831, decode.loss_grad: 0.0000, loss: 0.1831, grad_norm: 0.1585 2024-01-03 17:12:54,758 - mmseg - INFO - Iter [2450/38400] lr: 9.511e-04, eta: 0:32:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1846, decode.loss_grad: 0.0000, loss: 0.1846, grad_norm: 0.1627 2024-01-03 17:12:57,344 - mmseg - INFO - Iter [2500/38400] lr: 9.700e-04, eta: 0:32:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1875, decode.loss_grad: 0.0000, loss: 0.1875, grad_norm: 0.1571 2024-01-03 17:12:59,983 - mmseg - INFO - Iter [2550/38400] lr: 9.889e-04, eta: 0:32:11, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1812, decode.loss_grad: 0.0000, loss: 0.1812, grad_norm: 0.1470 2024-01-03 17:13:02,555 - mmseg - INFO - Iter [2600/38400] lr: 1.008e-03, eta: 0:32:07, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1783, decode.loss_grad: 0.0000, loss: 0.1783, grad_norm: 0.1452 2024-01-03 17:13:05,137 - mmseg - INFO - Iter [2650/38400] lr: 1.027e-03, eta: 0:32:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1809, decode.loss_grad: 0.0000, loss: 0.1809, grad_norm: 0.1386 2024-01-03 17:13:07,684 - mmseg - INFO - Iter [2700/38400] lr: 1.045e-03, eta: 0:31:58, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1835, decode.loss_grad: 0.0000, loss: 0.1835, grad_norm: 0.1495 2024-01-03 17:13:10,272 - mmseg - INFO - Iter [2750/38400] lr: 1.064e-03, eta: 0:31:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1811, decode.loss_grad: 0.0000, loss: 0.1811, grad_norm: 0.1474 2024-01-03 17:13:12,838 - mmseg - INFO - Iter [2800/38400] lr: 1.083e-03, eta: 0:31:50, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1815, decode.loss_grad: 0.0000, loss: 0.1815, grad_norm: 0.1493 2024-01-03 17:13:15,433 - mmseg - INFO - Iter [2850/38400] lr: 1.102e-03, eta: 0:31:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1788, decode.loss_grad: 0.0000, loss: 0.1788, grad_norm: 0.1431 2024-01-03 17:13:17,995 - mmseg - INFO - Iter [2900/38400] lr: 1.120e-03, eta: 0:31:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1802, decode.loss_grad: 0.0000, loss: 0.1802, grad_norm: 0.1372 2024-01-03 17:13:20,580 - mmseg - INFO - Iter [2950/38400] lr: 1.139e-03, eta: 0:31:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1746, decode.loss_grad: 0.0000, loss: 0.1746, grad_norm: 0.1246 2024-01-03 17:13:23,149 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:13:23,149 - mmseg - INFO - Iter [3000/38400] lr: 1.158e-03, eta: 0:31:34, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1755, decode.loss_grad: 0.0000, loss: 0.1755, grad_norm: 0.1408 2024-01-03 17:13:27,791 - mmseg - INFO - Iter [3050/38400] lr: 1.176e-03, eta: 0:31:55, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1753, decode.loss_grad: 0.0000, loss: 0.1753, grad_norm: 0.1390 2024-01-03 17:13:30,381 - mmseg - INFO - Iter [3100/38400] lr: 1.195e-03, eta: 0:31:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1774, decode.loss_grad: 0.0000, loss: 0.1774, grad_norm: 0.1297 2024-01-03 17:13:32,931 - mmseg - INFO - Iter [3150/38400] lr: 1.213e-03, eta: 0:31:46, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1740, decode.loss_grad: 0.0000, loss: 0.1740, grad_norm: 0.1331 2024-01-03 17:13:35,510 - mmseg - INFO - Saving checkpoint at 3200 iterations 2024-01-03 17:13:35,520 - mmseg - INFO - Iter [3200/38400] lr: 1.232e-03, eta: 0:31:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1704, decode.loss_grad: 0.0000, loss: 0.1704, grad_norm: 0.1260 2024-01-03 17:13:48,836 - mmseg - INFO - Summary: 2024-01-03 17:13:48,837 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.6952 | 0.9358 | 0.9873 | 0.1981 | 0.6072 | 0.0788 | 0.2239 | 17.8158 | 0.1608 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:13:48,846 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_3200.pth. 2024-01-03 17:13:48,846 - mmseg - INFO - Best abs_rel is 0.1981 at 3200 iter. 2024-01-03 17:13:48,846 - mmseg - INFO - Iter(val) [82] a1: 0.6952, a2: 0.9358, a3: 0.9873, abs_rel: 0.19805492460727692, rmse: 0.6072224378585815, log_10: 0.07882323116064072, rmse_log: 0.223907008767128, silog: 17.8158, sq_rel: 0.16078457236289978 2024-01-03 17:13:51,456 - mmseg - INFO - Iter [3250/38400] lr: 1.251e-03, eta: 0:34:02, time: 0.319, data_time: 0.268, memory: 751, decode.loss_depth: 0.1736, decode.loss_grad: 0.0000, loss: 0.1736, grad_norm: 0.1260 2024-01-03 17:13:54,020 - mmseg - INFO - Iter [3300/38400] lr: 1.269e-03, eta: 0:33:56, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1749, decode.loss_grad: 0.0000, loss: 0.1749, grad_norm: 0.1331 2024-01-03 17:13:56,610 - mmseg - INFO - Iter [3350/38400] lr: 1.287e-03, eta: 0:33:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1738, decode.loss_grad: 0.0000, loss: 0.1738, grad_norm: 0.1276 2024-01-03 17:13:59,209 - mmseg - INFO - Iter [3400/38400] lr: 1.306e-03, eta: 0:33:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1761, decode.loss_grad: 0.0000, loss: 0.1761, grad_norm: 0.1307 2024-01-03 17:14:01,794 - mmseg - INFO - Iter [3450/38400] lr: 1.324e-03, eta: 0:33:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1743, decode.loss_grad: 0.0000, loss: 0.1743, grad_norm: 0.1225 2024-01-03 17:14:04,408 - mmseg - INFO - Iter [3500/38400] lr: 1.343e-03, eta: 0:33:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1721, decode.loss_grad: 0.0000, loss: 0.1721, grad_norm: 0.1189 2024-01-03 17:14:06,988 - mmseg - INFO - Iter [3550/38400] lr: 1.361e-03, eta: 0:33:26, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1733, decode.loss_grad: 0.0000, loss: 0.1733, grad_norm: 0.1262 2024-01-03 17:14:09,552 - mmseg - INFO - Iter [3600/38400] lr: 1.379e-03, eta: 0:33:20, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1721, decode.loss_grad: 0.0000, loss: 0.1721, grad_norm: 0.1211 2024-01-03 17:14:12,266 - mmseg - INFO - Iter [3650/38400] lr: 1.397e-03, eta: 0:33:16, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1666, decode.loss_grad: 0.0000, loss: 0.1666, grad_norm: 0.1140 2024-01-03 17:14:14,852 - mmseg - INFO - Iter [3700/38400] lr: 1.416e-03, eta: 0:33:10, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1709, decode.loss_grad: 0.0000, loss: 0.1709, grad_norm: 0.1139 2024-01-03 17:14:17,418 - mmseg - INFO - Iter [3750/38400] lr: 1.434e-03, eta: 0:33:05, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1684, decode.loss_grad: 0.0000, loss: 0.1684, grad_norm: 0.1138 2024-01-03 17:14:19,983 - mmseg - INFO - Iter [3800/38400] lr: 1.452e-03, eta: 0:32:59, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1730, decode.loss_grad: 0.0000, loss: 0.1730, grad_norm: 0.1220 2024-01-03 17:14:22,717 - mmseg - INFO - Iter [3850/38400] lr: 1.470e-03, eta: 0:32:55, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1693, decode.loss_grad: 0.0000, loss: 0.1693, grad_norm: 0.1132 2024-01-03 17:14:25,284 - mmseg - INFO - Iter [3900/38400] lr: 1.488e-03, eta: 0:32:50, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1701, decode.loss_grad: 0.0000, loss: 0.1701, grad_norm: 0.1132 2024-01-03 17:14:27,855 - mmseg - INFO - Iter [3950/38400] lr: 1.506e-03, eta: 0:32:44, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1670, decode.loss_grad: 0.0000, loss: 0.1670, grad_norm: 0.1059 2024-01-03 17:14:30,406 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:14:30,406 - mmseg - INFO - Iter [4000/38400] lr: 1.524e-03, eta: 0:32:39, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1645, decode.loss_grad: 0.0000, loss: 0.1645, grad_norm: 0.1051 2024-01-03 17:14:33,078 - mmseg - INFO - Iter [4050/38400] lr: 1.542e-03, eta: 0:32:35, time: 0.053, data_time: 0.003, memory: 751, decode.loss_depth: 0.1672, decode.loss_grad: 0.0000, loss: 0.1672, grad_norm: 0.1150 2024-01-03 17:14:35,708 - mmseg - INFO - Iter [4100/38400] lr: 1.560e-03, eta: 0:32:30, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1681, decode.loss_grad: 0.0000, loss: 0.1681, grad_norm: 0.1104 2024-01-03 17:14:38,296 - mmseg - INFO - Iter [4150/38400] lr: 1.578e-03, eta: 0:32:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1702, decode.loss_grad: 0.0000, loss: 0.1702, grad_norm: 0.1054 2024-01-03 17:14:40,869 - mmseg - INFO - Iter [4200/38400] lr: 1.596e-03, eta: 0:32:20, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1687, decode.loss_grad: 0.0000, loss: 0.1687, grad_norm: 0.1077 2024-01-03 17:14:43,493 - mmseg - INFO - Iter [4250/38400] lr: 1.613e-03, eta: 0:32:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1643, decode.loss_grad: 0.0000, loss: 0.1643, grad_norm: 0.1047 2024-01-03 17:14:46,068 - mmseg - INFO - Iter [4300/38400] lr: 1.631e-03, eta: 0:32:11, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1634, decode.loss_grad: 0.0000, loss: 0.1634, grad_norm: 0.1023 2024-01-03 17:14:48,677 - mmseg - INFO - Iter [4350/38400] lr: 1.649e-03, eta: 0:32:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1654, decode.loss_grad: 0.0000, loss: 0.1654, grad_norm: 0.1088 2024-01-03 17:14:51,267 - mmseg - INFO - Iter [4400/38400] lr: 1.666e-03, eta: 0:32:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1685, decode.loss_grad: 0.0000, loss: 0.1685, grad_norm: 0.1031 2024-01-03 17:14:53,853 - mmseg - INFO - Iter [4450/38400] lr: 1.684e-03, eta: 0:31:57, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1689, decode.loss_grad: 0.0000, loss: 0.1689, grad_norm: 0.1023 2024-01-03 17:14:56,431 - mmseg - INFO - Iter [4500/38400] lr: 1.702e-03, eta: 0:31:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1656, decode.loss_grad: 0.0000, loss: 0.1656, grad_norm: 0.0997 2024-01-03 17:15:01,097 - mmseg - INFO - Iter [4550/38400] lr: 1.719e-03, eta: 0:32:03, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1609, decode.loss_grad: 0.0000, loss: 0.1609, grad_norm: 0.0979 2024-01-03 17:15:03,671 - mmseg - INFO - Iter [4600/38400] lr: 1.737e-03, eta: 0:31:58, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1641, decode.loss_grad: 0.0000, loss: 0.1641, grad_norm: 0.0966 2024-01-03 17:15:06,542 - mmseg - INFO - Iter [4650/38400] lr: 1.754e-03, eta: 0:31:55, time: 0.057, data_time: 0.002, memory: 751, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0974 2024-01-03 17:15:09,122 - mmseg - INFO - Iter [4700/38400] lr: 1.772e-03, eta: 0:31:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1650, decode.loss_grad: 0.0000, loss: 0.1650, grad_norm: 0.0987 2024-01-03 17:15:11,717 - mmseg - INFO - Iter [4750/38400] lr: 1.789e-03, eta: 0:31:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1630, decode.loss_grad: 0.0000, loss: 0.1630, grad_norm: 0.0976 2024-01-03 17:15:14,291 - mmseg - INFO - Saving checkpoint at 4800 iterations 2024-01-03 17:15:14,306 - mmseg - INFO - Iter [4800/38400] lr: 1.806e-03, eta: 0:31:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1657, decode.loss_grad: 0.0000, loss: 0.1657, grad_norm: 0.0989 2024-01-03 17:15:16,887 - mmseg - INFO - Iter [4850/38400] lr: 1.824e-03, eta: 0:31:37, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1627, decode.loss_grad: 0.0000, loss: 0.1627, grad_norm: 0.0944 2024-01-03 17:15:19,476 - mmseg - INFO - Iter [4900/38400] lr: 1.841e-03, eta: 0:31:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1622, decode.loss_grad: 0.0000, loss: 0.1622, grad_norm: 0.0963 2024-01-03 17:15:22,086 - mmseg - INFO - Iter [4950/38400] lr: 1.858e-03, eta: 0:31:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0892 2024-01-03 17:15:24,659 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:15:24,659 - mmseg - INFO - Iter [5000/38400] lr: 1.875e-03, eta: 0:31:24, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.0932 2024-01-03 17:15:27,335 - mmseg - INFO - Iter [5050/38400] lr: 1.892e-03, eta: 0:31:20, time: 0.053, data_time: 0.004, memory: 751, decode.loss_depth: 0.1579, decode.loss_grad: 0.0000, loss: 0.1579, grad_norm: 0.0919 2024-01-03 17:15:29,883 - mmseg - INFO - Iter [5100/38400] lr: 1.909e-03, eta: 0:31:15, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1606, decode.loss_grad: 0.0000, loss: 0.1606, grad_norm: 0.0873 2024-01-03 17:15:32,456 - mmseg - INFO - Iter [5150/38400] lr: 1.926e-03, eta: 0:31:11, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1598, decode.loss_grad: 0.0000, loss: 0.1598, grad_norm: 0.0874 2024-01-03 17:15:35,056 - mmseg - INFO - Iter [5200/38400] lr: 1.943e-03, eta: 0:31:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1631, decode.loss_grad: 0.0000, loss: 0.1631, grad_norm: 0.0901 2024-01-03 17:15:37,662 - mmseg - INFO - Iter [5250/38400] lr: 1.960e-03, eta: 0:31:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1643, decode.loss_grad: 0.0000, loss: 0.1643, grad_norm: 0.0914 2024-01-03 17:15:40,262 - mmseg - INFO - Iter [5300/38400] lr: 1.977e-03, eta: 0:30:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1631, decode.loss_grad: 0.0000, loss: 0.1631, grad_norm: 0.0882 2024-01-03 17:15:42,838 - mmseg - INFO - Iter [5350/38400] lr: 1.994e-03, eta: 0:30:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1592, decode.loss_grad: 0.0000, loss: 0.1592, grad_norm: 0.0866 2024-01-03 17:15:45,414 - mmseg - INFO - Iter [5400/38400] lr: 2.011e-03, eta: 0:30:50, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1605, decode.loss_grad: 0.0000, loss: 0.1605, grad_norm: 0.0869 2024-01-03 17:15:48,079 - mmseg - INFO - Iter [5450/38400] lr: 2.027e-03, eta: 0:30:47, time: 0.053, data_time: 0.004, memory: 751, decode.loss_depth: 0.1582, decode.loss_grad: 0.0000, loss: 0.1582, grad_norm: 0.0861 2024-01-03 17:15:50,648 - mmseg - INFO - Iter [5500/38400] lr: 2.044e-03, eta: 0:30:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1590, decode.loss_grad: 0.0000, loss: 0.1590, grad_norm: 0.0814 2024-01-03 17:15:53,233 - mmseg - INFO - Iter [5550/38400] lr: 2.060e-03, eta: 0:30:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1579, decode.loss_grad: 0.0000, loss: 0.1579, grad_norm: 0.0828 2024-01-03 17:15:55,841 - mmseg - INFO - Iter [5600/38400] lr: 2.077e-03, eta: 0:30:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1587, decode.loss_grad: 0.0000, loss: 0.1587, grad_norm: 0.0813 2024-01-03 17:15:58,470 - mmseg - INFO - Iter [5650/38400] lr: 2.094e-03, eta: 0:30:31, time: 0.053, data_time: 0.003, memory: 751, decode.loss_depth: 0.1569, decode.loss_grad: 0.0000, loss: 0.1569, grad_norm: 0.0806 2024-01-03 17:16:01,046 - mmseg - INFO - Iter [5700/38400] lr: 2.110e-03, eta: 0:30:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1608, decode.loss_grad: 0.0000, loss: 0.1608, grad_norm: 0.0851 2024-01-03 17:16:03,639 - mmseg - INFO - Iter [5750/38400] lr: 2.126e-03, eta: 0:30:23, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1605, decode.loss_grad: 0.0000, loss: 0.1605, grad_norm: 0.0818 2024-01-03 17:16:06,223 - mmseg - INFO - Iter [5800/38400] lr: 2.143e-03, eta: 0:30:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1574, decode.loss_grad: 0.0000, loss: 0.1574, grad_norm: 0.0812 2024-01-03 17:16:08,817 - mmseg - INFO - Iter [5850/38400] lr: 2.159e-03, eta: 0:30:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1600, decode.loss_grad: 0.0000, loss: 0.1600, grad_norm: 0.0795 2024-01-03 17:16:11,407 - mmseg - INFO - Iter [5900/38400] lr: 2.175e-03, eta: 0:30:11, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1591, decode.loss_grad: 0.0000, loss: 0.1591, grad_norm: 0.0828 2024-01-03 17:16:14,002 - mmseg - INFO - Iter [5950/38400] lr: 2.191e-03, eta: 0:30:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1584, decode.loss_grad: 0.0000, loss: 0.1584, grad_norm: 0.0801 2024-01-03 17:16:16,595 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:16:16,595 - mmseg - INFO - Iter [6000/38400] lr: 2.208e-03, eta: 0:30:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1600, decode.loss_grad: 0.0000, loss: 0.1600, grad_norm: 0.0794 2024-01-03 17:16:19,203 - mmseg - INFO - Iter [6050/38400] lr: 2.224e-03, eta: 0:29:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.0751 2024-01-03 17:16:23,900 - mmseg - INFO - Iter [6100/38400] lr: 2.240e-03, eta: 0:30:07, time: 0.094, data_time: 0.043, memory: 751, decode.loss_depth: 0.1542, decode.loss_grad: 0.0000, loss: 0.1542, grad_norm: 0.0756 2024-01-03 17:16:26,487 - mmseg - INFO - Iter [6150/38400] lr: 2.256e-03, eta: 0:30:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1537, decode.loss_grad: 0.0000, loss: 0.1537, grad_norm: 0.0737 2024-01-03 17:16:29,057 - mmseg - INFO - Iter [6200/38400] lr: 2.272e-03, eta: 0:29:59, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1486, decode.loss_grad: 0.0000, loss: 0.1486, grad_norm: 0.0700 2024-01-03 17:16:31,635 - mmseg - INFO - Iter [6250/38400] lr: 2.287e-03, eta: 0:29:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.0736 2024-01-03 17:16:34,216 - mmseg - INFO - Iter [6300/38400] lr: 2.303e-03, eta: 0:29:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0769 2024-01-03 17:16:36,796 - mmseg - INFO - Iter [6350/38400] lr: 2.319e-03, eta: 0:29:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0702 2024-01-03 17:16:39,383 - mmseg - INFO - Saving checkpoint at 6400 iterations 2024-01-03 17:16:39,399 - mmseg - INFO - Iter [6400/38400] lr: 2.335e-03, eta: 0:29:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1537, decode.loss_grad: 0.0000, loss: 0.1537, grad_norm: 0.0726 2024-01-03 17:16:44,057 - mmseg - INFO - Summary: 2024-01-03 17:16:44,058 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.7168 | 0.9456 | 0.9903 | 0.1827 | 0.5834 | 0.0748 | 0.2136 | 17.333 | 0.1392 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:16:44,059 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_3200.pth was removed 2024-01-03 17:16:44,074 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_6400.pth. 2024-01-03 17:16:44,074 - mmseg - INFO - Best abs_rel is 0.1827 at 6400 iter. 2024-01-03 17:16:44,074 - mmseg - INFO - Iter(val) [82] a1: 0.7168, a2: 0.9456, a3: 0.9903, abs_rel: 0.18273597955703735, rmse: 0.5833668112754822, log_10: 0.07479874789714813, rmse_log: 0.21364927291870117, silog: 17.3330, sq_rel: 0.13917092978954315 2024-01-03 17:16:46,656 - mmseg - INFO - Iter [6450/38400] lr: 2.350e-03, eta: 0:30:03, time: 0.145, data_time: 0.096, memory: 751, decode.loss_depth: 0.1545, decode.loss_grad: 0.0000, loss: 0.1545, grad_norm: 0.0726 2024-01-03 17:16:49,262 - mmseg - INFO - Iter [6500/38400] lr: 2.366e-03, eta: 0:29:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1541, decode.loss_grad: 0.0000, loss: 0.1541, grad_norm: 0.0713 2024-01-03 17:16:51,879 - mmseg - INFO - Iter [6550/38400] lr: 2.381e-03, eta: 0:29:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1540, decode.loss_grad: 0.0000, loss: 0.1540, grad_norm: 0.0718 2024-01-03 17:16:54,478 - mmseg - INFO - Iter [6600/38400] lr: 2.397e-03, eta: 0:29:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1553, decode.loss_grad: 0.0000, loss: 0.1553, grad_norm: 0.0746 2024-01-03 17:16:57,072 - mmseg - INFO - Iter [6650/38400] lr: 2.412e-03, eta: 0:29:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1583, decode.loss_grad: 0.0000, loss: 0.1583, grad_norm: 0.0719 2024-01-03 17:16:59,665 - mmseg - INFO - Iter [6700/38400] lr: 2.427e-03, eta: 0:29:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1566, decode.loss_grad: 0.0000, loss: 0.1566, grad_norm: 0.0700 2024-01-03 17:17:02,510 - mmseg - INFO - Iter [6750/38400] lr: 2.443e-03, eta: 0:29:41, time: 0.057, data_time: 0.002, memory: 751, decode.loss_depth: 0.1560, decode.loss_grad: 0.0000, loss: 0.1560, grad_norm: 0.0688 2024-01-03 17:17:05,096 - mmseg - INFO - Iter [6800/38400] lr: 2.458e-03, eta: 0:29:37, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.0665 2024-01-03 17:17:07,667 - mmseg - INFO - Iter [6850/38400] lr: 2.473e-03, eta: 0:29:33, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1543, decode.loss_grad: 0.0000, loss: 0.1543, grad_norm: 0.0678 2024-01-03 17:17:10,229 - mmseg - INFO - Iter [6900/38400] lr: 2.488e-03, eta: 0:29:29, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1535, decode.loss_grad: 0.0000, loss: 0.1535, grad_norm: 0.0669 2024-01-03 17:17:12,814 - mmseg - INFO - Iter [6950/38400] lr: 2.503e-03, eta: 0:29:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1522, decode.loss_grad: 0.0000, loss: 0.1522, grad_norm: 0.0679 2024-01-03 17:17:15,422 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:17:15,422 - mmseg - INFO - Iter [7000/38400] lr: 2.518e-03, eta: 0:29:22, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1517, decode.loss_grad: 0.0000, loss: 0.1517, grad_norm: 0.0648 2024-01-03 17:17:17,982 - mmseg - INFO - Iter [7050/38400] lr: 2.533e-03, eta: 0:29:18, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1593, decode.loss_grad: 0.0000, loss: 0.1593, grad_norm: 0.0696 2024-01-03 17:17:20,590 - mmseg - INFO - Iter [7100/38400] lr: 2.548e-03, eta: 0:29:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1517, decode.loss_grad: 0.0000, loss: 0.1517, grad_norm: 0.0652 2024-01-03 17:17:23,190 - mmseg - INFO - Iter [7150/38400] lr: 2.563e-03, eta: 0:29:10, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1514, decode.loss_grad: 0.0000, loss: 0.1514, grad_norm: 0.0630 2024-01-03 17:17:25,757 - mmseg - INFO - Iter [7200/38400] lr: 2.577e-03, eta: 0:29:07, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1541, decode.loss_grad: 0.0000, loss: 0.1541, grad_norm: 0.0672 2024-01-03 17:17:28,323 - mmseg - INFO - Iter [7250/38400] lr: 2.592e-03, eta: 0:29:03, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1595, decode.loss_grad: 0.0000, loss: 0.1595, grad_norm: 0.0679 2024-01-03 17:17:30,924 - mmseg - INFO - Iter [7300/38400] lr: 2.606e-03, eta: 0:28:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1567, decode.loss_grad: 0.0000, loss: 0.1567, grad_norm: 0.0669 2024-01-03 17:17:33,551 - mmseg - INFO - Iter [7350/38400] lr: 2.621e-03, eta: 0:28:56, time: 0.053, data_time: 0.003, memory: 751, decode.loss_depth: 0.1507, decode.loss_grad: 0.0000, loss: 0.1507, grad_norm: 0.0620 2024-01-03 17:17:36,145 - mmseg - INFO - Iter [7400/38400] lr: 2.635e-03, eta: 0:28:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1516, decode.loss_grad: 0.0000, loss: 0.1516, grad_norm: 0.0614 2024-01-03 17:17:38,739 - mmseg - INFO - Iter [7450/38400] lr: 2.650e-03, eta: 0:28:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1541, decode.loss_grad: 0.0000, loss: 0.1541, grad_norm: 0.0620 2024-01-03 17:17:41,301 - mmseg - INFO - Iter [7500/38400] lr: 2.664e-03, eta: 0:28:45, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.0622 2024-01-03 17:17:43,935 - mmseg - INFO - Iter [7550/38400] lr: 2.678e-03, eta: 0:28:41, time: 0.053, data_time: 0.004, memory: 751, decode.loss_depth: 0.1530, decode.loss_grad: 0.0000, loss: 0.1530, grad_norm: 0.0629 2024-01-03 17:17:48,596 - mmseg - INFO - Iter [7600/38400] lr: 2.693e-03, eta: 0:28:46, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1507, decode.loss_grad: 0.0000, loss: 0.1507, grad_norm: 0.0595 2024-01-03 17:17:51,163 - mmseg - INFO - Iter [7650/38400] lr: 2.707e-03, eta: 0:28:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1466, decode.loss_grad: 0.0000, loss: 0.1466, grad_norm: 0.0616 2024-01-03 17:17:53,783 - mmseg - INFO - Iter [7700/38400] lr: 2.721e-03, eta: 0:28:39, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1521, decode.loss_grad: 0.0000, loss: 0.1521, grad_norm: 0.0620 2024-01-03 17:17:56,368 - mmseg - INFO - Iter [7750/38400] lr: 2.735e-03, eta: 0:28:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1475, decode.loss_grad: 0.0000, loss: 0.1475, grad_norm: 0.0583 2024-01-03 17:17:58,945 - mmseg - INFO - Iter [7800/38400] lr: 2.749e-03, eta: 0:28:31, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1498, decode.loss_grad: 0.0000, loss: 0.1498, grad_norm: 0.0599 2024-01-03 17:18:01,517 - mmseg - INFO - Iter [7850/38400] lr: 2.762e-03, eta: 0:28:28, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1551, decode.loss_grad: 0.0000, loss: 0.1551, grad_norm: 0.0656 2024-01-03 17:18:04,112 - mmseg - INFO - Iter [7900/38400] lr: 2.776e-03, eta: 0:28:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1517, decode.loss_grad: 0.0000, loss: 0.1517, grad_norm: 0.0589 2024-01-03 17:18:06,674 - mmseg - INFO - Iter [7950/38400] lr: 2.790e-03, eta: 0:28:20, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1539, decode.loss_grad: 0.0000, loss: 0.1539, grad_norm: 0.0605 2024-01-03 17:18:09,234 - mmseg - INFO - Saving checkpoint at 8000 iterations 2024-01-03 17:18:09,246 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:18:09,246 - mmseg - INFO - Iter [8000/38400] lr: 2.804e-03, eta: 0:28:17, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1476, decode.loss_grad: 0.0000, loss: 0.1476, grad_norm: 0.0553 2024-01-03 17:18:11,825 - mmseg - INFO - Iter [8050/38400] lr: 2.817e-03, eta: 0:28:13, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1459, decode.loss_grad: 0.0000, loss: 0.1459, grad_norm: 0.0554 2024-01-03 17:18:14,428 - mmseg - INFO - Iter [8100/38400] lr: 2.831e-03, eta: 0:28:10, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1484, decode.loss_grad: 0.0000, loss: 0.1484, grad_norm: 0.0559 2024-01-03 17:18:16,986 - mmseg - INFO - Iter [8150/38400] lr: 2.844e-03, eta: 0:28:06, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1497, decode.loss_grad: 0.0000, loss: 0.1497, grad_norm: 0.0550 2024-01-03 17:18:19,580 - mmseg - INFO - Iter [8200/38400] lr: 2.857e-03, eta: 0:28:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1503, decode.loss_grad: 0.0000, loss: 0.1503, grad_norm: 0.0544 2024-01-03 17:18:22,164 - mmseg - INFO - Iter [8250/38400] lr: 2.871e-03, eta: 0:27:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1513, decode.loss_grad: 0.0000, loss: 0.1513, grad_norm: 0.0580 2024-01-03 17:18:24,791 - mmseg - INFO - Iter [8300/38400] lr: 2.884e-03, eta: 0:27:56, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1509, decode.loss_grad: 0.0000, loss: 0.1509, grad_norm: 0.0576 2024-01-03 17:18:27,369 - mmseg - INFO - Iter [8350/38400] lr: 2.897e-03, eta: 0:27:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.0559 2024-01-03 17:18:29,972 - mmseg - INFO - Iter [8400/38400] lr: 2.910e-03, eta: 0:27:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1499, decode.loss_grad: 0.0000, loss: 0.1499, grad_norm: 0.0572 2024-01-03 17:18:32,577 - mmseg - INFO - Iter [8450/38400] lr: 2.923e-03, eta: 0:27:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1529, decode.loss_grad: 0.0000, loss: 0.1529, grad_norm: 0.0603 2024-01-03 17:18:35,172 - mmseg - INFO - Iter [8500/38400] lr: 2.936e-03, eta: 0:27:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1508, decode.loss_grad: 0.0000, loss: 0.1508, grad_norm: 0.0542 2024-01-03 17:18:37,747 - mmseg - INFO - Iter [8550/38400] lr: 2.949e-03, eta: 0:27:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1500, decode.loss_grad: 0.0000, loss: 0.1500, grad_norm: 0.0573 2024-01-03 17:18:40,314 - mmseg - INFO - Iter [8600/38400] lr: 2.962e-03, eta: 0:27:35, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1498, decode.loss_grad: 0.0000, loss: 0.1498, grad_norm: 0.0542 2024-01-03 17:18:42,915 - mmseg - INFO - Iter [8650/38400] lr: 2.974e-03, eta: 0:27:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1491, decode.loss_grad: 0.0000, loss: 0.1491, grad_norm: 0.0539 2024-01-03 17:18:45,496 - mmseg - INFO - Iter [8700/38400] lr: 2.987e-03, eta: 0:27:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1511, decode.loss_grad: 0.0000, loss: 0.1511, grad_norm: 0.0532 2024-01-03 17:18:48,090 - mmseg - INFO - Iter [8750/38400] lr: 3.000e-03, eta: 0:27:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1497, decode.loss_grad: 0.0000, loss: 0.1497, grad_norm: 0.0530 2024-01-03 17:18:50,688 - mmseg - INFO - Iter [8800/38400] lr: 3.012e-03, eta: 0:27:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1490, decode.loss_grad: 0.0000, loss: 0.1490, grad_norm: 0.0535 2024-01-03 17:18:53,267 - mmseg - INFO - Iter [8850/38400] lr: 3.025e-03, eta: 0:27:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1458, decode.loss_grad: 0.0000, loss: 0.1458, grad_norm: 0.0512 2024-01-03 17:18:55,852 - mmseg - INFO - Iter [8900/38400] lr: 3.037e-03, eta: 0:27:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.0514 2024-01-03 17:18:58,447 - mmseg - INFO - Iter [8950/38400] lr: 3.049e-03, eta: 0:27:11, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1457, decode.loss_grad: 0.0000, loss: 0.1457, grad_norm: 0.0515 2024-01-03 17:19:01,011 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:01,011 - mmseg - INFO - Iter [9000/38400] lr: 3.061e-03, eta: 0:27:08, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1490, decode.loss_grad: 0.0000, loss: 0.1490, grad_norm: 0.0503 2024-01-03 17:19:03,566 - mmseg - INFO - Iter [9050/38400] lr: 3.073e-03, eta: 0:27:04, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1458, decode.loss_grad: 0.0000, loss: 0.1458, grad_norm: 0.0489 2024-01-03 17:19:08,210 - mmseg - INFO - Iter [9100/38400] lr: 3.085e-03, eta: 0:27:08, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1462, decode.loss_grad: 0.0000, loss: 0.1462, grad_norm: 0.0504 2024-01-03 17:19:10,806 - mmseg - INFO - Iter [9150/38400] lr: 3.097e-03, eta: 0:27:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1473, decode.loss_grad: 0.0000, loss: 0.1473, grad_norm: 0.0504 2024-01-03 17:19:13,395 - mmseg - INFO - Iter [9200/38400] lr: 3.109e-03, eta: 0:27:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1442, decode.loss_grad: 0.0000, loss: 0.1442, grad_norm: 0.0494 2024-01-03 17:19:15,967 - mmseg - INFO - Iter [9250/38400] lr: 3.121e-03, eta: 0:26:57, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.0479 2024-01-03 17:19:18,717 - mmseg - INFO - Iter [9300/38400] lr: 3.133e-03, eta: 0:26:55, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1450, decode.loss_grad: 0.0000, loss: 0.1450, grad_norm: 0.0503 2024-01-03 17:19:21,285 - mmseg - INFO - Iter [9350/38400] lr: 3.145e-03, eta: 0:26:51, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.0493 2024-01-03 17:19:23,844 - mmseg - INFO - Iter [9400/38400] lr: 3.156e-03, eta: 0:26:48, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1487, decode.loss_grad: 0.0000, loss: 0.1487, grad_norm: 0.0487 2024-01-03 17:19:26,462 - mmseg - INFO - Iter [9450/38400] lr: 3.168e-03, eta: 0:26:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1449, decode.loss_grad: 0.0000, loss: 0.1449, grad_norm: 0.0459 2024-01-03 17:19:29,148 - mmseg - INFO - Iter [9500/38400] lr: 3.179e-03, eta: 0:26:41, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1465, decode.loss_grad: 0.0000, loss: 0.1465, grad_norm: 0.0470 2024-01-03 17:19:31,725 - mmseg - INFO - Iter [9550/38400] lr: 3.190e-03, eta: 0:26:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.0496 2024-01-03 17:19:34,329 - mmseg - INFO - Saving checkpoint at 9600 iterations 2024-01-03 17:19:34,348 - mmseg - INFO - Iter [9600/38400] lr: 3.202e-03, eta: 0:26:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1451, decode.loss_grad: 0.0000, loss: 0.1451, grad_norm: 0.0475 2024-01-03 17:19:39,021 - mmseg - INFO - Summary: 2024-01-03 17:19:39,022 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7209 | 0.9452 | 0.9895 | 0.1834 | 0.5768 | 0.0745 | 0.2128 | 17.3044 | 0.1378 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:19:39,022 - mmseg - INFO - Iter(val) [82] a1: 0.7209, a2: 0.9452, a3: 0.9895, abs_rel: 0.18339869379997253, rmse: 0.5767838358879089, log_10: 0.07446404546499252, rmse_log: 0.21275782585144043, silog: 17.3044, sq_rel: 0.1378132700920105 2024-01-03 17:19:41,602 - mmseg - INFO - Iter [9650/38400] lr: 3.213e-03, eta: 0:26:45, time: 0.145, data_time: 0.096, memory: 751, decode.loss_depth: 0.1469, decode.loss_grad: 0.0000, loss: 0.1469, grad_norm: 0.0483 2024-01-03 17:19:44,187 - mmseg - INFO - Iter [9700/38400] lr: 3.224e-03, eta: 0:26:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1469, decode.loss_grad: 0.0000, loss: 0.1469, grad_norm: 0.0463 2024-01-03 17:19:46,749 - mmseg - INFO - Iter [9750/38400] lr: 3.235e-03, eta: 0:26:39, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1474, decode.loss_grad: 0.0000, loss: 0.1474, grad_norm: 0.0473 2024-01-03 17:19:49,389 - mmseg - INFO - Iter [9800/38400] lr: 3.246e-03, eta: 0:26:35, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1460, decode.loss_grad: 0.0000, loss: 0.1460, grad_norm: 0.0488 2024-01-03 17:19:51,988 - mmseg - INFO - Iter [9850/38400] lr: 3.257e-03, eta: 0:26:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1490, decode.loss_grad: 0.0000, loss: 0.1490, grad_norm: 0.0481 2024-01-03 17:19:54,530 - mmseg - INFO - Iter [9900/38400] lr: 3.268e-03, eta: 0:26:28, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1437, decode.loss_grad: 0.0000, loss: 0.1437, grad_norm: 0.0454 2024-01-03 17:19:57,101 - mmseg - INFO - Iter [9950/38400] lr: 3.278e-03, eta: 0:26:25, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1465, decode.loss_grad: 0.0000, loss: 0.1465, grad_norm: 0.0458 2024-01-03 17:19:59,832 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:19:59,833 - mmseg - INFO - Iter [10000/38400] lr: 3.289e-03, eta: 0:26:22, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1452, decode.loss_grad: 0.0000, loss: 0.1452, grad_norm: 0.0455 2024-01-03 17:20:02,438 - mmseg - INFO - Iter [10050/38400] lr: 3.300e-03, eta: 0:26:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1479, decode.loss_grad: 0.0000, loss: 0.1479, grad_norm: 0.0466 2024-01-03 17:20:05,016 - mmseg - INFO - Iter [10100/38400] lr: 3.310e-03, eta: 0:26:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1447, decode.loss_grad: 0.0000, loss: 0.1447, grad_norm: 0.0448 2024-01-03 17:20:07,594 - mmseg - INFO - Iter [10150/38400] lr: 3.320e-03, eta: 0:26:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1434, decode.loss_grad: 0.0000, loss: 0.1434, grad_norm: 0.0451 2024-01-03 17:20:10,185 - mmseg - INFO - Iter [10200/38400] lr: 3.331e-03, eta: 0:26:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1444, decode.loss_grad: 0.0000, loss: 0.1444, grad_norm: 0.0452 2024-01-03 17:20:12,769 - mmseg - INFO - Iter [10250/38400] lr: 3.341e-03, eta: 0:26:05, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1455, decode.loss_grad: 0.0000, loss: 0.1455, grad_norm: 0.0426 2024-01-03 17:20:15,346 - mmseg - INFO - Iter [10300/38400] lr: 3.351e-03, eta: 0:26:02, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1455, decode.loss_grad: 0.0000, loss: 0.1455, grad_norm: 0.0465 2024-01-03 17:20:17,941 - mmseg - INFO - Iter [10350/38400] lr: 3.361e-03, eta: 0:25:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1462, decode.loss_grad: 0.0000, loss: 0.1462, grad_norm: 0.0457 2024-01-03 17:20:20,523 - mmseg - INFO - Iter [10400/38400] lr: 3.371e-03, eta: 0:25:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.0446 2024-01-03 17:20:23,096 - mmseg - INFO - Iter [10450/38400] lr: 3.381e-03, eta: 0:25:52, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1453, decode.loss_grad: 0.0000, loss: 0.1453, grad_norm: 0.0451 2024-01-03 17:20:25,664 - mmseg - INFO - Iter [10500/38400] lr: 3.391e-03, eta: 0:25:49, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1468, decode.loss_grad: 0.0000, loss: 0.1468, grad_norm: 0.0459 2024-01-03 17:20:28,237 - mmseg - INFO - Iter [10550/38400] lr: 3.401e-03, eta: 0:25:46, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0427 2024-01-03 17:20:32,897 - mmseg - INFO - Iter [10600/38400] lr: 3.410e-03, eta: 0:25:48, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1442, decode.loss_grad: 0.0000, loss: 0.1442, grad_norm: 0.0420 2024-01-03 17:20:35,446 - mmseg - INFO - Iter [10650/38400] lr: 3.420e-03, eta: 0:25:44, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1430, decode.loss_grad: 0.0000, loss: 0.1430, grad_norm: 0.0409 2024-01-03 17:20:38,012 - mmseg - INFO - Iter [10700/38400] lr: 3.429e-03, eta: 0:25:41, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1467, decode.loss_grad: 0.0000, loss: 0.1467, grad_norm: 0.0430 2024-01-03 17:20:40,616 - mmseg - INFO - Iter [10750/38400] lr: 3.439e-03, eta: 0:25:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1452, decode.loss_grad: 0.0000, loss: 0.1452, grad_norm: 0.0441 2024-01-03 17:20:43,242 - mmseg - INFO - Iter [10800/38400] lr: 3.448e-03, eta: 0:25:35, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1421, decode.loss_grad: 0.0000, loss: 0.1421, grad_norm: 0.0409 2024-01-03 17:20:45,857 - mmseg - INFO - Iter [10850/38400] lr: 3.457e-03, eta: 0:25:31, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1425, decode.loss_grad: 0.0000, loss: 0.1425, grad_norm: 0.0417 2024-01-03 17:20:48,432 - mmseg - INFO - Iter [10900/38400] lr: 3.466e-03, eta: 0:25:28, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0415 2024-01-03 17:20:51,000 - mmseg - INFO - Iter [10950/38400] lr: 3.475e-03, eta: 0:25:25, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1428, decode.loss_grad: 0.0000, loss: 0.1428, grad_norm: 0.0417 2024-01-03 17:20:53,598 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:20:53,598 - mmseg - INFO - Iter [11000/38400] lr: 3.484e-03, eta: 0:25:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1402, decode.loss_grad: 0.0000, loss: 0.1402, grad_norm: 0.0414 2024-01-03 17:20:56,198 - mmseg - INFO - Iter [11050/38400] lr: 3.493e-03, eta: 0:25:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0413 2024-01-03 17:20:58,793 - mmseg - INFO - Iter [11100/38400] lr: 3.502e-03, eta: 0:25:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0416 2024-01-03 17:21:01,371 - mmseg - INFO - Iter [11150/38400] lr: 3.511e-03, eta: 0:25:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.0424 2024-01-03 17:21:03,936 - mmseg - INFO - Saving checkpoint at 11200 iterations 2024-01-03 17:21:03,953 - mmseg - INFO - Iter [11200/38400] lr: 3.519e-03, eta: 0:25:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1430, decode.loss_grad: 0.0000, loss: 0.1430, grad_norm: 0.0414 2024-01-03 17:21:06,522 - mmseg - INFO - Iter [11250/38400] lr: 3.528e-03, eta: 0:25:05, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0406 2024-01-03 17:21:09,100 - mmseg - INFO - Iter [11300/38400] lr: 3.537e-03, eta: 0:25:02, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1448, decode.loss_grad: 0.0000, loss: 0.1448, grad_norm: 0.0416 2024-01-03 17:21:11,686 - mmseg - INFO - Iter [11350/38400] lr: 3.545e-03, eta: 0:24:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0413 2024-01-03 17:21:14,264 - mmseg - INFO - Iter [11400/38400] lr: 3.553e-03, eta: 0:24:56, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.0407 2024-01-03 17:21:16,855 - mmseg - INFO - Iter [11450/38400] lr: 3.561e-03, eta: 0:24:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0414 2024-01-03 17:21:19,436 - mmseg - INFO - Iter [11500/38400] lr: 3.570e-03, eta: 0:24:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1459, decode.loss_grad: 0.0000, loss: 0.1459, grad_norm: 0.0415 2024-01-03 17:21:22,036 - mmseg - INFO - Iter [11550/38400] lr: 3.578e-03, eta: 0:24:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1424, decode.loss_grad: 0.0000, loss: 0.1424, grad_norm: 0.0416 2024-01-03 17:21:24,634 - mmseg - INFO - Iter [11600/38400] lr: 3.586e-03, eta: 0:24:43, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1412, decode.loss_grad: 0.0000, loss: 0.1412, grad_norm: 0.0386 2024-01-03 17:21:27,205 - mmseg - INFO - Iter [11650/38400] lr: 3.593e-03, eta: 0:24:40, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1433, decode.loss_grad: 0.0000, loss: 0.1433, grad_norm: 0.0386 2024-01-03 17:21:29,809 - mmseg - INFO - Iter [11700/38400] lr: 3.601e-03, eta: 0:24:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.0407 2024-01-03 17:21:32,392 - mmseg - INFO - Iter [11750/38400] lr: 3.609e-03, eta: 0:24:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1439, decode.loss_grad: 0.0000, loss: 0.1439, grad_norm: 0.0399 2024-01-03 17:21:35,126 - mmseg - INFO - Iter [11800/38400] lr: 3.616e-03, eta: 0:24:30, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0387 2024-01-03 17:21:37,719 - mmseg - INFO - Iter [11850/38400] lr: 3.624e-03, eta: 0:24:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1419, decode.loss_grad: 0.0000, loss: 0.1419, grad_norm: 0.0387 2024-01-03 17:21:40,319 - mmseg - INFO - Iter [11900/38400] lr: 3.631e-03, eta: 0:24:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1424, decode.loss_grad: 0.0000, loss: 0.1424, grad_norm: 0.0393 2024-01-03 17:21:42,928 - mmseg - INFO - Iter [11950/38400] lr: 3.639e-03, eta: 0:24:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0396 2024-01-03 17:21:45,546 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:21:45,546 - mmseg - INFO - Iter [12000/38400] lr: 3.646e-03, eta: 0:24:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1396, decode.loss_grad: 0.0000, loss: 0.1396, grad_norm: 0.0375 2024-01-03 17:21:48,115 - mmseg - INFO - Iter [12050/38400] lr: 3.653e-03, eta: 0:24:15, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.0374 2024-01-03 17:21:50,708 - mmseg - INFO - Iter [12100/38400] lr: 3.660e-03, eta: 0:24:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1426, decode.loss_grad: 0.0000, loss: 0.1426, grad_norm: 0.0370 2024-01-03 17:21:55,415 - mmseg - INFO - Iter [12150/38400] lr: 3.667e-03, eta: 0:24:13, time: 0.094, data_time: 0.045, memory: 751, decode.loss_depth: 0.1379, decode.loss_grad: 0.0000, loss: 0.1379, grad_norm: 0.0380 2024-01-03 17:21:57,965 - mmseg - INFO - Iter [12200/38400] lr: 3.674e-03, eta: 0:24:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1410, decode.loss_grad: 0.0000, loss: 0.1410, grad_norm: 0.0382 2024-01-03 17:22:00,533 - mmseg - INFO - Iter [12250/38400] lr: 3.681e-03, eta: 0:24:07, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1394, decode.loss_grad: 0.0000, loss: 0.1394, grad_norm: 0.0384 2024-01-03 17:22:03,130 - mmseg - INFO - Iter [12300/38400] lr: 3.688e-03, eta: 0:24:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0366 2024-01-03 17:22:05,739 - mmseg - INFO - Iter [12350/38400] lr: 3.694e-03, eta: 0:24:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0386 2024-01-03 17:22:08,307 - mmseg - INFO - Iter [12400/38400] lr: 3.701e-03, eta: 0:23:57, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1399, decode.loss_grad: 0.0000, loss: 0.1399, grad_norm: 0.0364 2024-01-03 17:22:10,868 - mmseg - INFO - Iter [12450/38400] lr: 3.707e-03, eta: 0:23:54, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1403, decode.loss_grad: 0.0000, loss: 0.1403, grad_norm: 0.0368 2024-01-03 17:22:13,433 - mmseg - INFO - Iter [12500/38400] lr: 3.714e-03, eta: 0:23:51, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1397, decode.loss_grad: 0.0000, loss: 0.1397, grad_norm: 0.0365 2024-01-03 17:22:15,977 - mmseg - INFO - Iter [12550/38400] lr: 3.720e-03, eta: 0:23:48, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0364 2024-01-03 17:22:18,568 - mmseg - INFO - Iter [12600/38400] lr: 3.726e-03, eta: 0:23:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1412, decode.loss_grad: 0.0000, loss: 0.1412, grad_norm: 0.0370 2024-01-03 17:22:21,120 - mmseg - INFO - Iter [12650/38400] lr: 3.732e-03, eta: 0:23:41, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1422, decode.loss_grad: 0.0000, loss: 0.1422, grad_norm: 0.0365 2024-01-03 17:22:23,705 - mmseg - INFO - Iter [12700/38400] lr: 3.738e-03, eta: 0:23:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1417, decode.loss_grad: 0.0000, loss: 0.1417, grad_norm: 0.0359 2024-01-03 17:22:26,300 - mmseg - INFO - Iter [12750/38400] lr: 3.744e-03, eta: 0:23:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1400, decode.loss_grad: 0.0000, loss: 0.1400, grad_norm: 0.0387 2024-01-03 17:22:28,883 - mmseg - INFO - Saving checkpoint at 12800 iterations 2024-01-03 17:22:28,896 - mmseg - INFO - Iter [12800/38400] lr: 3.750e-03, eta: 0:23:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1378, decode.loss_grad: 0.0000, loss: 0.1378, grad_norm: 0.0344 2024-01-03 17:22:33,521 - mmseg - INFO - Summary: 2024-01-03 17:22:33,521 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7329 | 0.9508 | 0.9912 | 0.1725 | 0.5659 | 0.0722 | 0.2073 | 17.1342 | 0.1256 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:22:33,524 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_6400.pth was removed 2024-01-03 17:22:33,537 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_12800.pth. 2024-01-03 17:22:33,537 - mmseg - INFO - Best abs_rel is 0.1725 at 12800 iter. 2024-01-03 17:22:33,538 - mmseg - INFO - Iter(val) [82] a1: 0.7329, a2: 0.9508, a3: 0.9912, abs_rel: 0.17252467572689056, rmse: 0.5659171938896179, log_10: 0.0722094476222992, rmse_log: 0.2072901874780655, silog: 17.1342, sq_rel: 0.12563703954219818 2024-01-03 17:22:36,096 - mmseg - INFO - Iter [12850/38400] lr: 3.741e-03, eta: 0:23:38, time: 0.144, data_time: 0.095, memory: 751, decode.loss_depth: 0.1393, decode.loss_grad: 0.0000, loss: 0.1393, grad_norm: 0.0360 2024-01-03 17:22:38,677 - mmseg - INFO - Iter [12900/38400] lr: 3.732e-03, eta: 0:23:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1406, decode.loss_grad: 0.0000, loss: 0.1406, grad_norm: 0.0364 2024-01-03 17:22:41,250 - mmseg - INFO - Iter [12950/38400] lr: 3.724e-03, eta: 0:23:32, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1363, decode.loss_grad: 0.0000, loss: 0.1363, grad_norm: 0.0349 2024-01-03 17:22:43,850 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:22:43,850 - mmseg - INFO - Iter [13000/38400] lr: 3.715e-03, eta: 0:23:29, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1401, decode.loss_grad: 0.0000, loss: 0.1401, grad_norm: 0.0368 2024-01-03 17:22:46,439 - mmseg - INFO - Iter [13050/38400] lr: 3.706e-03, eta: 0:23:26, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0365 2024-01-03 17:22:49,038 - mmseg - INFO - Iter [13100/38400] lr: 3.697e-03, eta: 0:23:22, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1373, decode.loss_grad: 0.0000, loss: 0.1373, grad_norm: 0.0347 2024-01-03 17:22:51,618 - mmseg - INFO - Iter [13150/38400] lr: 3.688e-03, eta: 0:23:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1382, decode.loss_grad: 0.0000, loss: 0.1382, grad_norm: 0.0347 2024-01-03 17:22:54,190 - mmseg - INFO - Iter [13200/38400] lr: 3.679e-03, eta: 0:23:16, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1416, decode.loss_grad: 0.0000, loss: 0.1416, grad_norm: 0.0376 2024-01-03 17:22:56,775 - mmseg - INFO - Iter [13250/38400] lr: 3.670e-03, eta: 0:23:13, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1395, decode.loss_grad: 0.0000, loss: 0.1395, grad_norm: 0.0336 2024-01-03 17:22:59,393 - mmseg - INFO - Iter [13300/38400] lr: 3.661e-03, eta: 0:23:10, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1384, decode.loss_grad: 0.0000, loss: 0.1384, grad_norm: 0.0339 2024-01-03 17:23:01,970 - mmseg - INFO - Iter [13350/38400] lr: 3.652e-03, eta: 0:23:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1427, decode.loss_grad: 0.0000, loss: 0.1427, grad_norm: 0.0371 2024-01-03 17:23:04,551 - mmseg - INFO - Iter [13400/38400] lr: 3.642e-03, eta: 0:23:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1385, decode.loss_grad: 0.0000, loss: 0.1385, grad_norm: 0.0335 2024-01-03 17:23:07,133 - mmseg - INFO - Iter [13450/38400] lr: 3.633e-03, eta: 0:23:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1375, decode.loss_grad: 0.0000, loss: 0.1375, grad_norm: 0.0340 2024-01-03 17:23:09,732 - mmseg - INFO - Iter [13500/38400] lr: 3.624e-03, eta: 0:22:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1376, decode.loss_grad: 0.0000, loss: 0.1376, grad_norm: 0.0354 2024-01-03 17:23:12,323 - mmseg - INFO - Iter [13550/38400] lr: 3.615e-03, eta: 0:22:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1396, decode.loss_grad: 0.0000, loss: 0.1396, grad_norm: 0.0341 2024-01-03 17:23:14,892 - mmseg - INFO - Iter [13600/38400] lr: 3.606e-03, eta: 0:22:51, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1389, decode.loss_grad: 0.0000, loss: 0.1389, grad_norm: 0.0330 2024-01-03 17:23:19,715 - mmseg - INFO - Iter [13650/38400] lr: 3.597e-03, eta: 0:22:52, time: 0.096, data_time: 0.043, memory: 751, decode.loss_depth: 0.1356, decode.loss_grad: 0.0000, loss: 0.1356, grad_norm: 0.0329 2024-01-03 17:23:22,293 - mmseg - INFO - Iter [13700/38400] lr: 3.588e-03, eta: 0:22:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1391, decode.loss_grad: 0.0000, loss: 0.1391, grad_norm: 0.0337 2024-01-03 17:23:24,888 - mmseg - INFO - Iter [13750/38400] lr: 3.578e-03, eta: 0:22:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1342, decode.loss_grad: 0.0000, loss: 0.1342, grad_norm: 0.0330 2024-01-03 17:23:27,459 - mmseg - INFO - Iter [13800/38400] lr: 3.569e-03, eta: 0:22:43, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1377, decode.loss_grad: 0.0000, loss: 0.1377, grad_norm: 0.0338 2024-01-03 17:23:30,134 - mmseg - INFO - Iter [13850/38400] lr: 3.560e-03, eta: 0:22:40, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1366, decode.loss_grad: 0.0000, loss: 0.1366, grad_norm: 0.0340 2024-01-03 17:23:32,719 - mmseg - INFO - Iter [13900/38400] lr: 3.551e-03, eta: 0:22:37, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1377, decode.loss_grad: 0.0000, loss: 0.1377, grad_norm: 0.0350 2024-01-03 17:23:35,292 - mmseg - INFO - Iter [13950/38400] lr: 3.541e-03, eta: 0:22:34, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1390, decode.loss_grad: 0.0000, loss: 0.1390, grad_norm: 0.0340 2024-01-03 17:23:37,874 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:23:37,875 - mmseg - INFO - Iter [14000/38400] lr: 3.532e-03, eta: 0:22:31, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1357, decode.loss_grad: 0.0000, loss: 0.1357, grad_norm: 0.0322 2024-01-03 17:23:40,436 - mmseg - INFO - Iter [14050/38400] lr: 3.523e-03, eta: 0:22:28, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.0322 2024-01-03 17:23:43,007 - mmseg - INFO - Iter [14100/38400] lr: 3.513e-03, eta: 0:22:24, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0336 2024-01-03 17:23:45,566 - mmseg - INFO - Iter [14150/38400] lr: 3.504e-03, eta: 0:22:21, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1344, decode.loss_grad: 0.0000, loss: 0.1344, grad_norm: 0.0313 2024-01-03 17:23:48,159 - mmseg - INFO - Iter [14200/38400] lr: 3.495e-03, eta: 0:22:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1340, decode.loss_grad: 0.0000, loss: 0.1340, grad_norm: 0.0314 2024-01-03 17:23:50,869 - mmseg - INFO - Iter [14250/38400] lr: 3.485e-03, eta: 0:22:15, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1334, decode.loss_grad: 0.0000, loss: 0.1334, grad_norm: 0.0313 2024-01-03 17:23:53,457 - mmseg - INFO - Iter [14300/38400] lr: 3.476e-03, eta: 0:22:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.0307 2024-01-03 17:23:56,036 - mmseg - INFO - Iter [14350/38400] lr: 3.466e-03, eta: 0:22:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0316 2024-01-03 17:23:58,612 - mmseg - INFO - Saving checkpoint at 14400 iterations 2024-01-03 17:23:58,624 - mmseg - INFO - Iter [14400/38400] lr: 3.457e-03, eta: 0:22:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.0318 2024-01-03 17:24:01,304 - mmseg - INFO - Iter [14450/38400] lr: 3.447e-03, eta: 0:22:03, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1360, decode.loss_grad: 0.0000, loss: 0.1360, grad_norm: 0.0325 2024-01-03 17:24:03,893 - mmseg - INFO - Iter [14500/38400] lr: 3.438e-03, eta: 0:22:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1346, decode.loss_grad: 0.0000, loss: 0.1346, grad_norm: 0.0326 2024-01-03 17:24:06,487 - mmseg - INFO - Iter [14550/38400] lr: 3.428e-03, eta: 0:21:57, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1357, decode.loss_grad: 0.0000, loss: 0.1357, grad_norm: 0.0323 2024-01-03 17:24:09,065 - mmseg - INFO - Iter [14600/38400] lr: 3.419e-03, eta: 0:21:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1372, decode.loss_grad: 0.0000, loss: 0.1372, grad_norm: 0.0332 2024-01-03 17:24:11,807 - mmseg - INFO - Iter [14650/38400] lr: 3.409e-03, eta: 0:21:51, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1342, decode.loss_grad: 0.0000, loss: 0.1342, grad_norm: 0.0318 2024-01-03 17:24:14,404 - mmseg - INFO - Iter [14700/38400] lr: 3.400e-03, eta: 0:21:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1347, decode.loss_grad: 0.0000, loss: 0.1347, grad_norm: 0.0323 2024-01-03 17:24:16,949 - mmseg - INFO - Iter [14750/38400] lr: 3.390e-03, eta: 0:21:45, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1369, decode.loss_grad: 0.0000, loss: 0.1369, grad_norm: 0.0316 2024-01-03 17:24:19,536 - mmseg - INFO - Iter [14800/38400] lr: 3.381e-03, eta: 0:21:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1371, decode.loss_grad: 0.0000, loss: 0.1371, grad_norm: 0.0332 2024-01-03 17:24:22,098 - mmseg - INFO - Iter [14850/38400] lr: 3.371e-03, eta: 0:21:39, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1355, decode.loss_grad: 0.0000, loss: 0.1355, grad_norm: 0.0325 2024-01-03 17:24:24,695 - mmseg - INFO - Iter [14900/38400] lr: 3.362e-03, eta: 0:21:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1358, decode.loss_grad: 0.0000, loss: 0.1358, grad_norm: 0.0319 2024-01-03 17:24:27,271 - mmseg - INFO - Iter [14950/38400] lr: 3.352e-03, eta: 0:21:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1352, decode.loss_grad: 0.0000, loss: 0.1352, grad_norm: 0.0322 2024-01-03 17:24:29,841 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:24:29,841 - mmseg - INFO - Iter [15000/38400] lr: 3.342e-03, eta: 0:21:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1331, decode.loss_grad: 0.0000, loss: 0.1331, grad_norm: 0.0318 2024-01-03 17:24:32,407 - mmseg - INFO - Iter [15050/38400] lr: 3.333e-03, eta: 0:21:27, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1337, decode.loss_grad: 0.0000, loss: 0.1337, grad_norm: 0.0311 2024-01-03 17:24:35,011 - mmseg - INFO - Iter [15100/38400] lr: 3.323e-03, eta: 0:21:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0313 2024-01-03 17:24:39,668 - mmseg - INFO - Iter [15150/38400] lr: 3.313e-03, eta: 0:21:24, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1318, decode.loss_grad: 0.0000, loss: 0.1318, grad_norm: 0.0293 2024-01-03 17:24:42,254 - mmseg - INFO - Iter [15200/38400] lr: 3.304e-03, eta: 0:21:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1332, decode.loss_grad: 0.0000, loss: 0.1332, grad_norm: 0.0299 2024-01-03 17:24:44,833 - mmseg - INFO - Iter [15250/38400] lr: 3.294e-03, eta: 0:21:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0307 2024-01-03 17:24:47,423 - mmseg - INFO - Iter [15300/38400] lr: 3.284e-03, eta: 0:21:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1293, decode.loss_grad: 0.0000, loss: 0.1293, grad_norm: 0.0304 2024-01-03 17:24:50,024 - mmseg - INFO - Iter [15350/38400] lr: 3.275e-03, eta: 0:21:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1348, decode.loss_grad: 0.0000, loss: 0.1348, grad_norm: 0.0319 2024-01-03 17:24:52,680 - mmseg - INFO - Iter [15400/38400] lr: 3.265e-03, eta: 0:21:09, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1322, decode.loss_grad: 0.0000, loss: 0.1322, grad_norm: 0.0309 2024-01-03 17:24:55,275 - mmseg - INFO - Iter [15450/38400] lr: 3.255e-03, eta: 0:21:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1337, decode.loss_grad: 0.0000, loss: 0.1337, grad_norm: 0.0313 2024-01-03 17:24:57,857 - mmseg - INFO - Iter [15500/38400] lr: 3.245e-03, eta: 0:21:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0320 2024-01-03 17:25:00,449 - mmseg - INFO - Iter [15550/38400] lr: 3.236e-03, eta: 0:21:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1316, decode.loss_grad: 0.0000, loss: 0.1316, grad_norm: 0.0309 2024-01-03 17:25:03,145 - mmseg - INFO - Iter [15600/38400] lr: 3.226e-03, eta: 0:20:57, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0309 2024-01-03 17:25:05,766 - mmseg - INFO - Iter [15650/38400] lr: 3.216e-03, eta: 0:20:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1327, decode.loss_grad: 0.0000, loss: 0.1327, grad_norm: 0.0318 2024-01-03 17:25:08,361 - mmseg - INFO - Iter [15700/38400] lr: 3.206e-03, eta: 0:20:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1323, decode.loss_grad: 0.0000, loss: 0.1323, grad_norm: 0.0308 2024-01-03 17:25:10,962 - mmseg - INFO - Iter [15750/38400] lr: 3.196e-03, eta: 0:20:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0317 2024-01-03 17:25:13,534 - mmseg - INFO - Iter [15800/38400] lr: 3.187e-03, eta: 0:20:45, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1335, decode.loss_grad: 0.0000, loss: 0.1335, grad_norm: 0.0308 2024-01-03 17:25:16,128 - mmseg - INFO - Iter [15850/38400] lr: 3.177e-03, eta: 0:20:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1292, decode.loss_grad: 0.0000, loss: 0.1292, grad_norm: 0.0308 2024-01-03 17:25:18,706 - mmseg - INFO - Iter [15900/38400] lr: 3.167e-03, eta: 0:20:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1333, decode.loss_grad: 0.0000, loss: 0.1333, grad_norm: 0.0295 2024-01-03 17:25:21,293 - mmseg - INFO - Iter [15950/38400] lr: 3.157e-03, eta: 0:20:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1334, decode.loss_grad: 0.0000, loss: 0.1334, grad_norm: 0.0320 2024-01-03 17:25:23,881 - mmseg - INFO - Saving checkpoint at 16000 iterations 2024-01-03 17:25:23,895 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:23,895 - mmseg - INFO - Iter [16000/38400] lr: 3.147e-03, eta: 0:20:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1349, decode.loss_grad: 0.0000, loss: 0.1349, grad_norm: 0.0311 2024-01-03 17:25:28,503 - mmseg - INFO - Summary: 2024-01-03 17:25:28,503 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7356 | 0.9501 | 0.9913 | 0.1733 | 0.5622 | 0.0719 | 0.2067 | 17.1187 | 0.1257 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:25:28,504 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:25:28,504 - mmseg - INFO - Iter(val) [82] a1: 0.7356, a2: 0.9501, a3: 0.9913, abs_rel: 0.17330345511436462, rmse: 0.5622379183769226, log_10: 0.07188347727060318, rmse_log: 0.20666702091693878, silog: 17.1187, sq_rel: 0.12573173642158508 2024-01-03 17:25:31,079 - mmseg - INFO - Iter [16050/38400] lr: 3.137e-03, eta: 0:20:37, time: 0.144, data_time: 0.094, memory: 751, decode.loss_depth: 0.1320, decode.loss_grad: 0.0000, loss: 0.1320, grad_norm: 0.0300 2024-01-03 17:25:33,655 - mmseg - INFO - Iter [16100/38400] lr: 3.127e-03, eta: 0:20:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0312 2024-01-03 17:25:36,408 - mmseg - INFO - Iter [16150/38400] lr: 3.118e-03, eta: 0:20:31, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1314, decode.loss_grad: 0.0000, loss: 0.1314, grad_norm: 0.0297 2024-01-03 17:25:38,994 - mmseg - INFO - Iter [16200/38400] lr: 3.108e-03, eta: 0:20:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0313 2024-01-03 17:25:41,579 - mmseg - INFO - Iter [16250/38400] lr: 3.098e-03, eta: 0:20:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0292 2024-01-03 17:25:44,161 - mmseg - INFO - Iter [16300/38400] lr: 3.088e-03, eta: 0:20:22, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1315, decode.loss_grad: 0.0000, loss: 0.1315, grad_norm: 0.0308 2024-01-03 17:25:46,774 - mmseg - INFO - Iter [16350/38400] lr: 3.078e-03, eta: 0:20:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1332, decode.loss_grad: 0.0000, loss: 0.1332, grad_norm: 0.0306 2024-01-03 17:25:49,329 - mmseg - INFO - Iter [16400/38400] lr: 3.068e-03, eta: 0:20:16, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0309 2024-01-03 17:25:51,903 - mmseg - INFO - Iter [16450/38400] lr: 3.058e-03, eta: 0:20:13, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0289 2024-01-03 17:25:54,469 - mmseg - INFO - Iter [16500/38400] lr: 3.048e-03, eta: 0:20:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1336, decode.loss_grad: 0.0000, loss: 0.1336, grad_norm: 0.0301 2024-01-03 17:25:57,108 - mmseg - INFO - Iter [16550/38400] lr: 3.038e-03, eta: 0:20:07, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1298, decode.loss_grad: 0.0000, loss: 0.1298, grad_norm: 0.0308 2024-01-03 17:25:59,700 - mmseg - INFO - Iter [16600/38400] lr: 3.028e-03, eta: 0:20:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0294 2024-01-03 17:26:02,270 - mmseg - INFO - Iter [16650/38400] lr: 3.018e-03, eta: 0:20:01, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1306, decode.loss_grad: 0.0000, loss: 0.1306, grad_norm: 0.0294 2024-01-03 17:26:06,901 - mmseg - INFO - Iter [16700/38400] lr: 3.008e-03, eta: 0:20:01, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1266, decode.loss_grad: 0.0000, loss: 0.1266, grad_norm: 0.0282 2024-01-03 17:26:09,481 - mmseg - INFO - Iter [16750/38400] lr: 2.998e-03, eta: 0:19:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1304, decode.loss_grad: 0.0000, loss: 0.1304, grad_norm: 0.0294 2024-01-03 17:26:12,049 - mmseg - INFO - Iter [16800/38400] lr: 2.988e-03, eta: 0:19:54, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1300, decode.loss_grad: 0.0000, loss: 0.1300, grad_norm: 0.0302 2024-01-03 17:26:14,616 - mmseg - INFO - Iter [16850/38400] lr: 2.978e-03, eta: 0:19:51, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1285, decode.loss_grad: 0.0000, loss: 0.1285, grad_norm: 0.0295 2024-01-03 17:26:17,197 - mmseg - INFO - Iter [16900/38400] lr: 2.968e-03, eta: 0:19:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1328, decode.loss_grad: 0.0000, loss: 0.1328, grad_norm: 0.0303 2024-01-03 17:26:19,779 - mmseg - INFO - Iter [16950/38400] lr: 2.958e-03, eta: 0:19:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1282, decode.loss_grad: 0.0000, loss: 0.1282, grad_norm: 0.0283 2024-01-03 17:26:22,351 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:26:22,352 - mmseg - INFO - Iter [17000/38400] lr: 2.948e-03, eta: 0:19:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0302 2024-01-03 17:26:24,961 - mmseg - INFO - Iter [17050/38400] lr: 2.938e-03, eta: 0:19:40, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1303, decode.loss_grad: 0.0000, loss: 0.1303, grad_norm: 0.0295 2024-01-03 17:26:27,545 - mmseg - INFO - Iter [17100/38400] lr: 2.928e-03, eta: 0:19:37, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1263, decode.loss_grad: 0.0000, loss: 0.1263, grad_norm: 0.0288 2024-01-03 17:26:30,126 - mmseg - INFO - Iter [17150/38400] lr: 2.918e-03, eta: 0:19:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1283, decode.loss_grad: 0.0000, loss: 0.1283, grad_norm: 0.0293 2024-01-03 17:26:32,747 - mmseg - INFO - Iter [17200/38400] lr: 2.907e-03, eta: 0:19:31, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0303 2024-01-03 17:26:35,358 - mmseg - INFO - Iter [17250/38400] lr: 2.897e-03, eta: 0:19:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0292 2024-01-03 17:26:37,930 - mmseg - INFO - Iter [17300/38400] lr: 2.887e-03, eta: 0:19:25, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1290, decode.loss_grad: 0.0000, loss: 0.1290, grad_norm: 0.0290 2024-01-03 17:26:40,563 - mmseg - INFO - Iter [17350/38400] lr: 2.877e-03, eta: 0:19:22, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0296 2024-01-03 17:26:43,160 - mmseg - INFO - Iter [17400/38400] lr: 2.867e-03, eta: 0:19:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0288 2024-01-03 17:26:45,756 - mmseg - INFO - Iter [17450/38400] lr: 2.857e-03, eta: 0:19:16, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0289 2024-01-03 17:26:48,357 - mmseg - INFO - Iter [17500/38400] lr: 2.847e-03, eta: 0:19:13, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0286 2024-01-03 17:26:50,936 - mmseg - INFO - Iter [17550/38400] lr: 2.837e-03, eta: 0:19:10, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1309, decode.loss_grad: 0.0000, loss: 0.1309, grad_norm: 0.0314 2024-01-03 17:26:53,516 - mmseg - INFO - Saving checkpoint at 17600 iterations 2024-01-03 17:26:53,528 - mmseg - INFO - Iter [17600/38400] lr: 2.827e-03, eta: 0:19:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1325, decode.loss_grad: 0.0000, loss: 0.1325, grad_norm: 0.0290 2024-01-03 17:26:56,087 - mmseg - INFO - Iter [17650/38400] lr: 2.816e-03, eta: 0:19:04, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1298, decode.loss_grad: 0.0000, loss: 0.1298, grad_norm: 0.0290 2024-01-03 17:26:58,677 - mmseg - INFO - Iter [17700/38400] lr: 2.806e-03, eta: 0:19:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0286 2024-01-03 17:27:01,254 - mmseg - INFO - Iter [17750/38400] lr: 2.796e-03, eta: 0:18:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1313, decode.loss_grad: 0.0000, loss: 0.1313, grad_norm: 0.0295 2024-01-03 17:27:03,827 - mmseg - INFO - Iter [17800/38400] lr: 2.786e-03, eta: 0:18:55, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1288, decode.loss_grad: 0.0000, loss: 0.1288, grad_norm: 0.0289 2024-01-03 17:27:06,425 - mmseg - INFO - Iter [17850/38400] lr: 2.776e-03, eta: 0:18:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0302 2024-01-03 17:27:09,005 - mmseg - INFO - Iter [17900/38400] lr: 2.766e-03, eta: 0:18:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0281 2024-01-03 17:27:11,719 - mmseg - INFO - Iter [17950/38400] lr: 2.755e-03, eta: 0:18:46, time: 0.054, data_time: 0.004, memory: 751, decode.loss_depth: 0.1299, decode.loss_grad: 0.0000, loss: 0.1299, grad_norm: 0.0294 2024-01-03 17:27:14,275 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:27:14,275 - mmseg - INFO - Iter [18000/38400] lr: 2.745e-03, eta: 0:18:43, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1284, decode.loss_grad: 0.0000, loss: 0.1284, grad_norm: 0.0285 2024-01-03 17:27:16,860 - mmseg - INFO - Iter [18050/38400] lr: 2.735e-03, eta: 0:18:40, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0302 2024-01-03 17:27:19,465 - mmseg - INFO - Iter [18100/38400] lr: 2.725e-03, eta: 0:18:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0285 2024-01-03 17:27:22,063 - mmseg - INFO - Iter [18150/38400] lr: 2.715e-03, eta: 0:18:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1284, decode.loss_grad: 0.0000, loss: 0.1284, grad_norm: 0.0296 2024-01-03 17:27:26,753 - mmseg - INFO - Iter [18200/38400] lr: 2.705e-03, eta: 0:18:34, time: 0.094, data_time: 0.043, memory: 751, decode.loss_depth: 0.1296, decode.loss_grad: 0.0000, loss: 0.1296, grad_norm: 0.0296 2024-01-03 17:27:29,355 - mmseg - INFO - Iter [18250/38400] lr: 2.694e-03, eta: 0:18:31, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0295 2024-01-03 17:27:31,939 - mmseg - INFO - Iter [18300/38400] lr: 2.684e-03, eta: 0:18:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1295, decode.loss_grad: 0.0000, loss: 0.1295, grad_norm: 0.0300 2024-01-03 17:27:34,536 - mmseg - INFO - Iter [18350/38400] lr: 2.674e-03, eta: 0:18:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0272 2024-01-03 17:27:37,125 - mmseg - INFO - Iter [18400/38400] lr: 2.664e-03, eta: 0:18:22, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1279, decode.loss_grad: 0.0000, loss: 0.1279, grad_norm: 0.0294 2024-01-03 17:27:39,688 - mmseg - INFO - Iter [18450/38400] lr: 2.654e-03, eta: 0:18:19, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0279 2024-01-03 17:27:42,258 - mmseg - INFO - Iter [18500/38400] lr: 2.643e-03, eta: 0:18:16, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0288 2024-01-03 17:27:44,840 - mmseg - INFO - Iter [18550/38400] lr: 2.633e-03, eta: 0:18:13, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0287 2024-01-03 17:27:47,406 - mmseg - INFO - Iter [18600/38400] lr: 2.623e-03, eta: 0:18:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0295 2024-01-03 17:27:49,974 - mmseg - INFO - Iter [18650/38400] lr: 2.613e-03, eta: 0:18:07, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1277, decode.loss_grad: 0.0000, loss: 0.1277, grad_norm: 0.0296 2024-01-03 17:27:52,683 - mmseg - INFO - Iter [18700/38400] lr: 2.602e-03, eta: 0:18:05, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1259, decode.loss_grad: 0.0000, loss: 0.1259, grad_norm: 0.0283 2024-01-03 17:27:55,280 - mmseg - INFO - Iter [18750/38400] lr: 2.592e-03, eta: 0:18:02, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1270, decode.loss_grad: 0.0000, loss: 0.1270, grad_norm: 0.0271 2024-01-03 17:27:57,859 - mmseg - INFO - Iter [18800/38400] lr: 2.582e-03, eta: 0:17:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1281, decode.loss_grad: 0.0000, loss: 0.1281, grad_norm: 0.0281 2024-01-03 17:28:00,443 - mmseg - INFO - Iter [18850/38400] lr: 2.572e-03, eta: 0:17:56, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1279, decode.loss_grad: 0.0000, loss: 0.1279, grad_norm: 0.0291 2024-01-03 17:28:03,014 - mmseg - INFO - Iter [18900/38400] lr: 2.562e-03, eta: 0:17:53, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1286, decode.loss_grad: 0.0000, loss: 0.1286, grad_norm: 0.0291 2024-01-03 17:28:05,595 - mmseg - INFO - Iter [18950/38400] lr: 2.551e-03, eta: 0:17:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.0294 2024-01-03 17:28:08,207 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:28:08,207 - mmseg - INFO - Iter [19000/38400] lr: 2.541e-03, eta: 0:17:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0286 2024-01-03 17:28:10,780 - mmseg - INFO - Iter [19050/38400] lr: 2.531e-03, eta: 0:17:44, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0280 2024-01-03 17:28:13,421 - mmseg - INFO - Iter [19100/38400] lr: 2.521e-03, eta: 0:17:41, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0282 2024-01-03 17:28:16,017 - mmseg - INFO - Iter [19150/38400] lr: 2.510e-03, eta: 0:17:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1242, decode.loss_grad: 0.0000, loss: 0.1242, grad_norm: 0.0271 2024-01-03 17:28:18,587 - mmseg - INFO - Saving checkpoint at 19200 iterations 2024-01-03 17:28:18,605 - mmseg - INFO - Iter [19200/38400] lr: 2.500e-03, eta: 0:17:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1278, decode.loss_grad: 0.0000, loss: 0.1278, grad_norm: 0.0289 2024-01-03 17:28:23,225 - mmseg - INFO - Summary: 2024-01-03 17:28:23,226 - mmseg - INFO - +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ | 0.7401 | 0.953 | 0.9917 | 0.1681 | 0.5615 | 0.0711 | 0.2049 | 17.1078 | 0.1198 | +--------+-------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:28:23,227 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_12800.pth was removed 2024-01-03 17:28:23,239 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_19200.pth. 2024-01-03 17:28:23,239 - mmseg - INFO - Best abs_rel is 0.1681 at 19200 iter. 2024-01-03 17:28:23,239 - mmseg - INFO - Iter(val) [82] a1: 0.7401, a2: 0.9530, a3: 0.9917, abs_rel: 0.16814011335372925, rmse: 0.5615251064300537, log_10: 0.07114715129137039, rmse_log: 0.20485460758209229, silog: 17.1078, sq_rel: 0.11983326822519302 2024-01-03 17:28:25,818 - mmseg - INFO - Iter [19250/38400] lr: 2.490e-03, eta: 0:17:37, time: 0.144, data_time: 0.095, memory: 751, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.0284 2024-01-03 17:28:28,407 - mmseg - INFO - Iter [19300/38400] lr: 2.480e-03, eta: 0:17:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1267, decode.loss_grad: 0.0000, loss: 0.1267, grad_norm: 0.0282 2024-01-03 17:28:31,013 - mmseg - INFO - Iter [19350/38400] lr: 2.470e-03, eta: 0:17:31, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1264, decode.loss_grad: 0.0000, loss: 0.1264, grad_norm: 0.0290 2024-01-03 17:28:33,616 - mmseg - INFO - Iter [19400/38400] lr: 2.459e-03, eta: 0:17:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1260, decode.loss_grad: 0.0000, loss: 0.1260, grad_norm: 0.0289 2024-01-03 17:28:36,417 - mmseg - INFO - Iter [19450/38400] lr: 2.449e-03, eta: 0:17:26, time: 0.056, data_time: 0.004, memory: 751, decode.loss_depth: 0.1280, decode.loss_grad: 0.0000, loss: 0.1280, grad_norm: 0.0288 2024-01-03 17:28:39,012 - mmseg - INFO - Iter [19500/38400] lr: 2.439e-03, eta: 0:17:23, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0288 2024-01-03 17:28:41,563 - mmseg - INFO - Iter [19550/38400] lr: 2.429e-03, eta: 0:17:20, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1268, decode.loss_grad: 0.0000, loss: 0.1268, grad_norm: 0.0280 2024-01-03 17:28:44,153 - mmseg - INFO - Iter [19600/38400] lr: 2.418e-03, eta: 0:17:17, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0283 2024-01-03 17:28:46,730 - mmseg - INFO - Iter [19650/38400] lr: 2.408e-03, eta: 0:17:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1262, decode.loss_grad: 0.0000, loss: 0.1262, grad_norm: 0.0289 2024-01-03 17:28:51,390 - mmseg - INFO - Iter [19700/38400] lr: 2.398e-03, eta: 0:17:13, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1251, decode.loss_grad: 0.0000, loss: 0.1251, grad_norm: 0.0283 2024-01-03 17:28:53,948 - mmseg - INFO - Iter [19750/38400] lr: 2.388e-03, eta: 0:17:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1257, decode.loss_grad: 0.0000, loss: 0.1257, grad_norm: 0.0275 2024-01-03 17:28:56,584 - mmseg - INFO - Iter [19800/38400] lr: 2.378e-03, eta: 0:17:07, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1250, decode.loss_grad: 0.0000, loss: 0.1250, grad_norm: 0.0273 2024-01-03 17:28:59,176 - mmseg - INFO - Iter [19850/38400] lr: 2.367e-03, eta: 0:17:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1235, decode.loss_grad: 0.0000, loss: 0.1235, grad_norm: 0.0275 2024-01-03 17:29:01,784 - mmseg - INFO - Iter [19900/38400] lr: 2.357e-03, eta: 0:17:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1274, decode.loss_grad: 0.0000, loss: 0.1274, grad_norm: 0.0282 2024-01-03 17:29:04,391 - mmseg - INFO - Iter [19950/38400] lr: 2.347e-03, eta: 0:16:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1249, decode.loss_grad: 0.0000, loss: 0.1249, grad_norm: 0.0283 2024-01-03 17:29:06,987 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:06,987 - mmseg - INFO - Iter [20000/38400] lr: 2.337e-03, eta: 0:16:56, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1258, decode.loss_grad: 0.0000, loss: 0.1258, grad_norm: 0.0274 2024-01-03 17:29:09,566 - mmseg - INFO - Iter [20050/38400] lr: 2.326e-03, eta: 0:16:53, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0275 2024-01-03 17:29:12,148 - mmseg - INFO - Iter [20100/38400] lr: 2.316e-03, eta: 0:16:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0271 2024-01-03 17:29:14,731 - mmseg - INFO - Iter [20150/38400] lr: 2.306e-03, eta: 0:16:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1255, decode.loss_grad: 0.0000, loss: 0.1255, grad_norm: 0.0293 2024-01-03 17:29:17,324 - mmseg - INFO - Iter [20200/38400] lr: 2.296e-03, eta: 0:16:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1247, decode.loss_grad: 0.0000, loss: 0.1247, grad_norm: 0.0294 2024-01-03 17:29:19,919 - mmseg - INFO - Iter [20250/38400] lr: 2.286e-03, eta: 0:16:41, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0272 2024-01-03 17:29:22,499 - mmseg - INFO - Iter [20300/38400] lr: 2.276e-03, eta: 0:16:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1243, decode.loss_grad: 0.0000, loss: 0.1243, grad_norm: 0.0278 2024-01-03 17:29:25,044 - mmseg - INFO - Iter [20350/38400] lr: 2.265e-03, eta: 0:16:35, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1240, decode.loss_grad: 0.0000, loss: 0.1240, grad_norm: 0.0278 2024-01-03 17:29:27,731 - mmseg - INFO - Iter [20400/38400] lr: 2.255e-03, eta: 0:16:32, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1265, decode.loss_grad: 0.0000, loss: 0.1265, grad_norm: 0.0287 2024-01-03 17:29:30,315 - mmseg - INFO - Iter [20450/38400] lr: 2.245e-03, eta: 0:16:29, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1282, decode.loss_grad: 0.0000, loss: 0.1282, grad_norm: 0.0286 2024-01-03 17:29:32,887 - mmseg - INFO - Iter [20500/38400] lr: 2.235e-03, eta: 0:16:26, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1245, decode.loss_grad: 0.0000, loss: 0.1245, grad_norm: 0.0281 2024-01-03 17:29:35,472 - mmseg - INFO - Iter [20550/38400] lr: 2.225e-03, eta: 0:16:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.0279 2024-01-03 17:29:38,065 - mmseg - INFO - Iter [20600/38400] lr: 2.214e-03, eta: 0:16:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1240, decode.loss_grad: 0.0000, loss: 0.1240, grad_norm: 0.0271 2024-01-03 17:29:40,629 - mmseg - INFO - Iter [20650/38400] lr: 2.204e-03, eta: 0:16:18, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0286 2024-01-03 17:29:43,241 - mmseg - INFO - Iter [20700/38400] lr: 2.194e-03, eta: 0:16:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0277 2024-01-03 17:29:45,827 - mmseg - INFO - Iter [20750/38400] lr: 2.184e-03, eta: 0:16:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1232, decode.loss_grad: 0.0000, loss: 0.1232, grad_norm: 0.0270 2024-01-03 17:29:48,425 - mmseg - INFO - Saving checkpoint at 20800 iterations 2024-01-03 17:29:48,438 - mmseg - INFO - Iter [20800/38400] lr: 2.174e-03, eta: 0:16:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1252, decode.loss_grad: 0.0000, loss: 0.1252, grad_norm: 0.0279 2024-01-03 17:29:51,015 - mmseg - INFO - Iter [20850/38400] lr: 2.164e-03, eta: 0:16:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0274 2024-01-03 17:29:53,592 - mmseg - INFO - Iter [20900/38400] lr: 2.154e-03, eta: 0:16:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0282 2024-01-03 17:29:56,152 - mmseg - INFO - Iter [20950/38400] lr: 2.143e-03, eta: 0:16:00, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1234, decode.loss_grad: 0.0000, loss: 0.1234, grad_norm: 0.0285 2024-01-03 17:29:58,745 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:29:58,745 - mmseg - INFO - Iter [21000/38400] lr: 2.133e-03, eta: 0:15:57, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1241, decode.loss_grad: 0.0000, loss: 0.1241, grad_norm: 0.0298 2024-01-03 17:30:01,342 - mmseg - INFO - Iter [21050/38400] lr: 2.123e-03, eta: 0:15:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1238, decode.loss_grad: 0.0000, loss: 0.1238, grad_norm: 0.0280 2024-01-03 17:30:03,959 - mmseg - INFO - Iter [21100/38400] lr: 2.113e-03, eta: 0:15:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1273, decode.loss_grad: 0.0000, loss: 0.1273, grad_norm: 0.0299 2024-01-03 17:30:06,543 - mmseg - INFO - Iter [21150/38400] lr: 2.103e-03, eta: 0:15:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0279 2024-01-03 17:30:11,241 - mmseg - INFO - Iter [21200/38400] lr: 2.093e-03, eta: 0:15:48, time: 0.094, data_time: 0.045, memory: 751, decode.loss_depth: 0.1222, decode.loss_grad: 0.0000, loss: 0.1222, grad_norm: 0.0268 2024-01-03 17:30:13,823 - mmseg - INFO - Iter [21250/38400] lr: 2.083e-03, eta: 0:15:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1228, decode.loss_grad: 0.0000, loss: 0.1228, grad_norm: 0.0286 2024-01-03 17:30:16,416 - mmseg - INFO - Iter [21300/38400] lr: 2.073e-03, eta: 0:15:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1244, decode.loss_grad: 0.0000, loss: 0.1244, grad_norm: 0.0287 2024-01-03 17:30:18,995 - mmseg - INFO - Iter [21350/38400] lr: 2.063e-03, eta: 0:15:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1225, decode.loss_grad: 0.0000, loss: 0.1225, grad_norm: 0.0275 2024-01-03 17:30:21,582 - mmseg - INFO - Iter [21400/38400] lr: 2.053e-03, eta: 0:15:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0283 2024-01-03 17:30:24,174 - mmseg - INFO - Iter [21450/38400] lr: 2.043e-03, eta: 0:15:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1233, decode.loss_grad: 0.0000, loss: 0.1233, grad_norm: 0.0274 2024-01-03 17:30:26,748 - mmseg - INFO - Iter [21500/38400] lr: 2.033e-03, eta: 0:15:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0277 2024-01-03 17:30:29,341 - mmseg - INFO - Iter [21550/38400] lr: 2.023e-03, eta: 0:15:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0278 2024-01-03 17:30:31,912 - mmseg - INFO - Iter [21600/38400] lr: 2.012e-03, eta: 0:15:25, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0272 2024-01-03 17:30:34,466 - mmseg - INFO - Iter [21650/38400] lr: 2.002e-03, eta: 0:15:22, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1236, decode.loss_grad: 0.0000, loss: 0.1236, grad_norm: 0.0273 2024-01-03 17:30:37,046 - mmseg - INFO - Iter [21700/38400] lr: 1.992e-03, eta: 0:15:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.0264 2024-01-03 17:30:39,615 - mmseg - INFO - Iter [21750/38400] lr: 1.982e-03, eta: 0:15:16, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1208, decode.loss_grad: 0.0000, loss: 0.1208, grad_norm: 0.0266 2024-01-03 17:30:42,204 - mmseg - INFO - Iter [21800/38400] lr: 1.972e-03, eta: 0:15:13, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0272 2024-01-03 17:30:44,775 - mmseg - INFO - Iter [21850/38400] lr: 1.962e-03, eta: 0:15:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0266 2024-01-03 17:30:47,351 - mmseg - INFO - Iter [21900/38400] lr: 1.952e-03, eta: 0:15:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1248, decode.loss_grad: 0.0000, loss: 0.1248, grad_norm: 0.0269 2024-01-03 17:30:49,929 - mmseg - INFO - Iter [21950/38400] lr: 1.942e-03, eta: 0:15:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0273 2024-01-03 17:30:52,528 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:30:52,528 - mmseg - INFO - Iter [22000/38400] lr: 1.933e-03, eta: 0:15:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0261 2024-01-03 17:30:55,121 - mmseg - INFO - Iter [22050/38400] lr: 1.923e-03, eta: 0:14:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0265 2024-01-03 17:30:57,694 - mmseg - INFO - Iter [22100/38400] lr: 1.913e-03, eta: 0:14:56, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.0274 2024-01-03 17:31:00,272 - mmseg - INFO - Iter [22150/38400] lr: 1.903e-03, eta: 0:14:53, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0268 2024-01-03 17:31:02,882 - mmseg - INFO - Iter [22200/38400] lr: 1.893e-03, eta: 0:14:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1221, decode.loss_grad: 0.0000, loss: 0.1221, grad_norm: 0.0274 2024-01-03 17:31:05,472 - mmseg - INFO - Iter [22250/38400] lr: 1.883e-03, eta: 0:14:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1214, decode.loss_grad: 0.0000, loss: 0.1214, grad_norm: 0.0280 2024-01-03 17:31:08,059 - mmseg - INFO - Iter [22300/38400] lr: 1.873e-03, eta: 0:14:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1230, decode.loss_grad: 0.0000, loss: 0.1230, grad_norm: 0.0278 2024-01-03 17:31:10,653 - mmseg - INFO - Iter [22350/38400] lr: 1.863e-03, eta: 0:14:41, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1227, decode.loss_grad: 0.0000, loss: 0.1227, grad_norm: 0.0267 2024-01-03 17:31:13,250 - mmseg - INFO - Saving checkpoint at 22400 iterations 2024-01-03 17:31:13,271 - mmseg - INFO - Iter [22400/38400] lr: 1.853e-03, eta: 0:14:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1226, decode.loss_grad: 0.0000, loss: 0.1226, grad_norm: 0.0273 2024-01-03 17:31:17,886 - mmseg - INFO - Summary: 2024-01-03 17:31:17,886 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ | 0.7392 | 0.9534 | 0.9921 | 0.1678 | 0.5614 | 0.0711 | 0.2048 | 17.123 | 0.1195 | +--------+--------+--------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:31:17,888 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_19200.pth was removed 2024-01-03 17:31:17,898 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_22400.pth. 2024-01-03 17:31:17,899 - mmseg - INFO - Best abs_rel is 0.1678 at 22400 iter. 2024-01-03 17:31:17,899 - mmseg - INFO - Iter(val) [82] a1: 0.7392, a2: 0.9534, a3: 0.9921, abs_rel: 0.1678425818681717, rmse: 0.5614242553710938, log_10: 0.0710831880569458, rmse_log: 0.20482754707336426, silog: 17.1230, sq_rel: 0.11950267106294632 2024-01-03 17:31:20,487 - mmseg - INFO - Iter [22450/38400] lr: 1.843e-03, eta: 0:14:39, time: 0.144, data_time: 0.095, memory: 751, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0268 2024-01-03 17:31:23,167 - mmseg - INFO - Iter [22500/38400] lr: 1.833e-03, eta: 0:14:36, time: 0.054, data_time: 0.004, memory: 751, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0269 2024-01-03 17:31:25,739 - mmseg - INFO - Iter [22550/38400] lr: 1.824e-03, eta: 0:14:33, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0291 2024-01-03 17:31:28,311 - mmseg - INFO - Iter [22600/38400] lr: 1.814e-03, eta: 0:14:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0276 2024-01-03 17:31:30,895 - mmseg - INFO - Iter [22650/38400] lr: 1.804e-03, eta: 0:14:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1223, decode.loss_grad: 0.0000, loss: 0.1223, grad_norm: 0.0281 2024-01-03 17:31:33,500 - mmseg - INFO - Iter [22700/38400] lr: 1.794e-03, eta: 0:14:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0264 2024-01-03 17:31:38,155 - mmseg - INFO - Iter [22750/38400] lr: 1.784e-03, eta: 0:14:23, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0273 2024-01-03 17:31:40,749 - mmseg - INFO - Iter [22800/38400] lr: 1.774e-03, eta: 0:14:20, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0275 2024-01-03 17:31:43,320 - mmseg - INFO - Iter [22850/38400] lr: 1.765e-03, eta: 0:14:17, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0275 2024-01-03 17:31:45,899 - mmseg - INFO - Iter [22900/38400] lr: 1.755e-03, eta: 0:14:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0278 2024-01-03 17:31:48,476 - mmseg - INFO - Iter [22950/38400] lr: 1.745e-03, eta: 0:14:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1186, decode.loss_grad: 0.0000, loss: 0.1186, grad_norm: 0.0270 2024-01-03 17:31:51,075 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:31:51,075 - mmseg - INFO - Iter [23000/38400] lr: 1.735e-03, eta: 0:14:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0278 2024-01-03 17:31:53,780 - mmseg - INFO - Iter [23050/38400] lr: 1.726e-03, eta: 0:14:06, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1224, decode.loss_grad: 0.0000, loss: 0.1224, grad_norm: 0.0260 2024-01-03 17:31:56,362 - mmseg - INFO - Iter [23100/38400] lr: 1.716e-03, eta: 0:14:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1220, decode.loss_grad: 0.0000, loss: 0.1220, grad_norm: 0.0271 2024-01-03 17:31:58,931 - mmseg - INFO - Iter [23150/38400] lr: 1.706e-03, eta: 0:14:00, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0266 2024-01-03 17:32:01,506 - mmseg - INFO - Iter [23200/38400] lr: 1.697e-03, eta: 0:13:57, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0271 2024-01-03 17:32:04,101 - mmseg - INFO - Iter [23250/38400] lr: 1.687e-03, eta: 0:13:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1229, decode.loss_grad: 0.0000, loss: 0.1229, grad_norm: 0.0278 2024-01-03 17:32:06,694 - mmseg - INFO - Iter [23300/38400] lr: 1.677e-03, eta: 0:13:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1218, decode.loss_grad: 0.0000, loss: 0.1218, grad_norm: 0.0280 2024-01-03 17:32:09,295 - mmseg - INFO - Iter [23350/38400] lr: 1.668e-03, eta: 0:13:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0273 2024-01-03 17:32:11,884 - mmseg - INFO - Iter [23400/38400] lr: 1.658e-03, eta: 0:13:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0267 2024-01-03 17:32:14,511 - mmseg - INFO - Iter [23450/38400] lr: 1.648e-03, eta: 0:13:43, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0271 2024-01-03 17:32:17,080 - mmseg - INFO - Iter [23500/38400] lr: 1.639e-03, eta: 0:13:40, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1209, decode.loss_grad: 0.0000, loss: 0.1209, grad_norm: 0.0277 2024-01-03 17:32:19,635 - mmseg - INFO - Iter [23550/38400] lr: 1.629e-03, eta: 0:13:37, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0270 2024-01-03 17:32:22,184 - mmseg - INFO - Iter [23600/38400] lr: 1.620e-03, eta: 0:13:34, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0274 2024-01-03 17:32:24,744 - mmseg - INFO - Iter [23650/38400] lr: 1.610e-03, eta: 0:13:32, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1215, decode.loss_grad: 0.0000, loss: 0.1215, grad_norm: 0.0280 2024-01-03 17:32:27,386 - mmseg - INFO - Iter [23700/38400] lr: 1.600e-03, eta: 0:13:29, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0273 2024-01-03 17:32:29,967 - mmseg - INFO - Iter [23750/38400] lr: 1.591e-03, eta: 0:13:26, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1206, decode.loss_grad: 0.0000, loss: 0.1206, grad_norm: 0.0268 2024-01-03 17:32:32,537 - mmseg - INFO - Iter [23800/38400] lr: 1.581e-03, eta: 0:13:23, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0270 2024-01-03 17:32:35,125 - mmseg - INFO - Iter [23850/38400] lr: 1.572e-03, eta: 0:13:20, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1204, decode.loss_grad: 0.0000, loss: 0.1204, grad_norm: 0.0279 2024-01-03 17:32:37,981 - mmseg - INFO - Iter [23900/38400] lr: 1.562e-03, eta: 0:13:18, time: 0.057, data_time: 0.002, memory: 751, decode.loss_depth: 0.1202, decode.loss_grad: 0.0000, loss: 0.1202, grad_norm: 0.0269 2024-01-03 17:32:40,576 - mmseg - INFO - Iter [23950/38400] lr: 1.553e-03, eta: 0:13:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1194, decode.loss_grad: 0.0000, loss: 0.1194, grad_norm: 0.0273 2024-01-03 17:32:43,164 - mmseg - INFO - Saving checkpoint at 24000 iterations 2024-01-03 17:32:43,177 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:32:43,177 - mmseg - INFO - Iter [24000/38400] lr: 1.543e-03, eta: 0:13:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1213, decode.loss_grad: 0.0000, loss: 0.1213, grad_norm: 0.0272 2024-01-03 17:32:45,747 - mmseg - INFO - Iter [24050/38400] lr: 1.534e-03, eta: 0:13:09, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0273 2024-01-03 17:32:48,342 - mmseg - INFO - Iter [24100/38400] lr: 1.525e-03, eta: 0:13:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1216, decode.loss_grad: 0.0000, loss: 0.1216, grad_norm: 0.0289 2024-01-03 17:32:50,908 - mmseg - INFO - Iter [24150/38400] lr: 1.515e-03, eta: 0:13:03, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1205, decode.loss_grad: 0.0000, loss: 0.1205, grad_norm: 0.0269 2024-01-03 17:32:53,504 - mmseg - INFO - Iter [24200/38400] lr: 1.506e-03, eta: 0:13:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0292 2024-01-03 17:32:58,156 - mmseg - INFO - Iter [24250/38400] lr: 1.496e-03, eta: 0:12:59, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1185, decode.loss_grad: 0.0000, loss: 0.1185, grad_norm: 0.0260 2024-01-03 17:33:00,746 - mmseg - INFO - Iter [24300/38400] lr: 1.487e-03, eta: 0:12:56, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0273 2024-01-03 17:33:03,313 - mmseg - INFO - Iter [24350/38400] lr: 1.478e-03, eta: 0:12:53, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1198, decode.loss_grad: 0.0000, loss: 0.1198, grad_norm: 0.0268 2024-01-03 17:33:05,913 - mmseg - INFO - Iter [24400/38400] lr: 1.468e-03, eta: 0:12:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0281 2024-01-03 17:33:08,662 - mmseg - INFO - Iter [24450/38400] lr: 1.459e-03, eta: 0:12:47, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0267 2024-01-03 17:33:11,237 - mmseg - INFO - Iter [24500/38400] lr: 1.450e-03, eta: 0:12:45, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1193, decode.loss_grad: 0.0000, loss: 0.1193, grad_norm: 0.0258 2024-01-03 17:33:13,839 - mmseg - INFO - Iter [24550/38400] lr: 1.441e-03, eta: 0:12:42, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0263 2024-01-03 17:33:16,414 - mmseg - INFO - Iter [24600/38400] lr: 1.431e-03, eta: 0:12:39, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0256 2024-01-03 17:33:19,048 - mmseg - INFO - Iter [24650/38400] lr: 1.422e-03, eta: 0:12:36, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0264 2024-01-03 17:33:21,641 - mmseg - INFO - Iter [24700/38400] lr: 1.413e-03, eta: 0:12:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0278 2024-01-03 17:33:24,216 - mmseg - INFO - Iter [24750/38400] lr: 1.404e-03, eta: 0:12:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1212, decode.loss_grad: 0.0000, loss: 0.1212, grad_norm: 0.0260 2024-01-03 17:33:26,755 - mmseg - INFO - Iter [24800/38400] lr: 1.394e-03, eta: 0:12:28, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1184, decode.loss_grad: 0.0000, loss: 0.1184, grad_norm: 0.0258 2024-01-03 17:33:29,428 - mmseg - INFO - Iter [24850/38400] lr: 1.385e-03, eta: 0:12:25, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1211, decode.loss_grad: 0.0000, loss: 0.1211, grad_norm: 0.0276 2024-01-03 17:33:31,984 - mmseg - INFO - Iter [24900/38400] lr: 1.376e-03, eta: 0:12:22, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0265 2024-01-03 17:33:34,565 - mmseg - INFO - Iter [24950/38400] lr: 1.367e-03, eta: 0:12:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0272 2024-01-03 17:33:37,165 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:33:37,165 - mmseg - INFO - Iter [25000/38400] lr: 1.358e-03, eta: 0:12:16, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1191, decode.loss_grad: 0.0000, loss: 0.1191, grad_norm: 0.0265 2024-01-03 17:33:39,776 - mmseg - INFO - Iter [25050/38400] lr: 1.349e-03, eta: 0:12:13, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0271 2024-01-03 17:33:42,346 - mmseg - INFO - Iter [25100/38400] lr: 1.340e-03, eta: 0:12:11, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0267 2024-01-03 17:33:44,935 - mmseg - INFO - Iter [25150/38400] lr: 1.331e-03, eta: 0:12:08, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1182, decode.loss_grad: 0.0000, loss: 0.1182, grad_norm: 0.0260 2024-01-03 17:33:47,520 - mmseg - INFO - Iter [25200/38400] lr: 1.322e-03, eta: 0:12:05, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0277 2024-01-03 17:33:50,282 - mmseg - INFO - Iter [25250/38400] lr: 1.313e-03, eta: 0:12:02, time: 0.055, data_time: 0.003, memory: 751, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0270 2024-01-03 17:33:52,853 - mmseg - INFO - Iter [25300/38400] lr: 1.304e-03, eta: 0:11:59, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0269 2024-01-03 17:33:55,428 - mmseg - INFO - Iter [25350/38400] lr: 1.295e-03, eta: 0:11:57, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0270 2024-01-03 17:33:58,010 - mmseg - INFO - Iter [25400/38400] lr: 1.286e-03, eta: 0:11:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0262 2024-01-03 17:34:00,592 - mmseg - INFO - Iter [25450/38400] lr: 1.277e-03, eta: 0:11:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1199, decode.loss_grad: 0.0000, loss: 0.1199, grad_norm: 0.0270 2024-01-03 17:34:03,181 - mmseg - INFO - Iter [25500/38400] lr: 1.268e-03, eta: 0:11:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1176, decode.loss_grad: 0.0000, loss: 0.1176, grad_norm: 0.0266 2024-01-03 17:34:05,789 - mmseg - INFO - Iter [25550/38400] lr: 1.259e-03, eta: 0:11:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1190, decode.loss_grad: 0.0000, loss: 0.1190, grad_norm: 0.0274 2024-01-03 17:34:08,347 - mmseg - INFO - Saving checkpoint at 25600 iterations 2024-01-03 17:34:08,363 - mmseg - INFO - Iter [25600/38400] lr: 1.250e-03, eta: 0:11:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1192, decode.loss_grad: 0.0000, loss: 0.1192, grad_norm: 0.0260 2024-01-03 17:34:13,017 - mmseg - INFO - Summary: 2024-01-03 17:34:13,018 - mmseg - INFO - +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.741 | 0.9541 | 0.9923 | 0.1684 | 0.5585 | 0.0708 | 0.2041 | 17.0876 | 0.1196 | +-------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:34:13,019 - mmseg - INFO - Iter(val) [82] a1: 0.7410, a2: 0.9541, a3: 0.9923, abs_rel: 0.16844335198402405, rmse: 0.5585227608680725, log_10: 0.07076531648635864, rmse_log: 0.20409847795963287, silog: 17.0876, sq_rel: 0.11962972581386566 2024-01-03 17:34:15,609 - mmseg - INFO - Iter [25650/38400] lr: 1.241e-03, eta: 0:11:42, time: 0.145, data_time: 0.095, memory: 751, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0263 2024-01-03 17:34:18,208 - mmseg - INFO - Iter [25700/38400] lr: 1.233e-03, eta: 0:11:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1200, decode.loss_grad: 0.0000, loss: 0.1200, grad_norm: 0.0277 2024-01-03 17:34:22,872 - mmseg - INFO - Iter [25750/38400] lr: 1.224e-03, eta: 0:11:37, time: 0.093, data_time: 0.043, memory: 751, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0265 2024-01-03 17:34:25,462 - mmseg - INFO - Iter [25800/38400] lr: 1.215e-03, eta: 0:11:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0266 2024-01-03 17:34:28,051 - mmseg - INFO - Iter [25850/38400] lr: 1.206e-03, eta: 0:11:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0255 2024-01-03 17:34:30,623 - mmseg - INFO - Iter [25900/38400] lr: 1.197e-03, eta: 0:11:29, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0252 2024-01-03 17:34:33,192 - mmseg - INFO - Iter [25950/38400] lr: 1.189e-03, eta: 0:11:26, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0264 2024-01-03 17:34:35,763 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:34:35,763 - mmseg - INFO - Iter [26000/38400] lr: 1.180e-03, eta: 0:11:23, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1179, decode.loss_grad: 0.0000, loss: 0.1179, grad_norm: 0.0261 2024-01-03 17:34:38,330 - mmseg - INFO - Iter [26050/38400] lr: 1.171e-03, eta: 0:11:20, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0266 2024-01-03 17:34:40,911 - mmseg - INFO - Iter [26100/38400] lr: 1.163e-03, eta: 0:11:17, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0269 2024-01-03 17:34:43,490 - mmseg - INFO - Iter [26150/38400] lr: 1.154e-03, eta: 0:11:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0267 2024-01-03 17:34:46,075 - mmseg - INFO - Iter [26200/38400] lr: 1.145e-03, eta: 0:11:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0263 2024-01-03 17:34:48,640 - mmseg - INFO - Iter [26250/38400] lr: 1.137e-03, eta: 0:11:09, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0265 2024-01-03 17:34:51,228 - mmseg - INFO - Iter [26300/38400] lr: 1.128e-03, eta: 0:11:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0265 2024-01-03 17:34:53,963 - mmseg - INFO - Iter [26350/38400] lr: 1.120e-03, eta: 0:11:03, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0265 2024-01-03 17:34:56,569 - mmseg - INFO - Iter [26400/38400] lr: 1.111e-03, eta: 0:11:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0263 2024-01-03 17:34:59,147 - mmseg - INFO - Iter [26450/38400] lr: 1.103e-03, eta: 0:10:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0255 2024-01-03 17:35:01,752 - mmseg - INFO - Iter [26500/38400] lr: 1.094e-03, eta: 0:10:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0259 2024-01-03 17:35:04,353 - mmseg - INFO - Iter [26550/38400] lr: 1.086e-03, eta: 0:10:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0275 2024-01-03 17:35:06,946 - mmseg - INFO - Iter [26600/38400] lr: 1.077e-03, eta: 0:10:49, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0284 2024-01-03 17:35:09,528 - mmseg - INFO - Iter [26650/38400] lr: 1.069e-03, eta: 0:10:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0268 2024-01-03 17:35:12,108 - mmseg - INFO - Iter [26700/38400] lr: 1.061e-03, eta: 0:10:43, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0263 2024-01-03 17:35:14,764 - mmseg - INFO - Iter [26750/38400] lr: 1.052e-03, eta: 0:10:41, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0265 2024-01-03 17:35:17,360 - mmseg - INFO - Iter [26800/38400] lr: 1.044e-03, eta: 0:10:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1175, decode.loss_grad: 0.0000, loss: 0.1175, grad_norm: 0.0274 2024-01-03 17:35:19,940 - mmseg - INFO - Iter [26850/38400] lr: 1.036e-03, eta: 0:10:35, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1203, decode.loss_grad: 0.0000, loss: 0.1203, grad_norm: 0.0277 2024-01-03 17:35:22,525 - mmseg - INFO - Iter [26900/38400] lr: 1.027e-03, eta: 0:10:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0257 2024-01-03 17:35:25,086 - mmseg - INFO - Iter [26950/38400] lr: 1.019e-03, eta: 0:10:29, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0272 2024-01-03 17:35:27,680 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:35:27,680 - mmseg - INFO - Iter [27000/38400] lr: 1.011e-03, eta: 0:10:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1168, decode.loss_grad: 0.0000, loss: 0.1168, grad_norm: 0.0262 2024-01-03 17:35:30,262 - mmseg - INFO - Iter [27050/38400] lr: 1.003e-03, eta: 0:10:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0276 2024-01-03 17:35:32,833 - mmseg - INFO - Iter [27100/38400] lr: 9.945e-04, eta: 0:10:21, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1187, decode.loss_grad: 0.0000, loss: 0.1187, grad_norm: 0.0276 2024-01-03 17:35:35,432 - mmseg - INFO - Iter [27150/38400] lr: 9.864e-04, eta: 0:10:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0262 2024-01-03 17:35:38,021 - mmseg - INFO - Saving checkpoint at 27200 iterations 2024-01-03 17:35:38,032 - mmseg - INFO - Iter [27200/38400] lr: 9.783e-04, eta: 0:10:15, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0271 2024-01-03 17:35:40,621 - mmseg - INFO - Iter [27250/38400] lr: 9.702e-04, eta: 0:10:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0264 2024-01-03 17:35:45,288 - mmseg - INFO - Iter [27300/38400] lr: 9.621e-04, eta: 0:10:10, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1171, decode.loss_grad: 0.0000, loss: 0.1171, grad_norm: 0.0265 2024-01-03 17:35:47,850 - mmseg - INFO - Iter [27350/38400] lr: 9.540e-04, eta: 0:10:08, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0256 2024-01-03 17:35:50,400 - mmseg - INFO - Iter [27400/38400] lr: 9.460e-04, eta: 0:10:05, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0263 2024-01-03 17:35:52,970 - mmseg - INFO - Iter [27450/38400] lr: 9.380e-04, eta: 0:10:02, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0262 2024-01-03 17:35:55,555 - mmseg - INFO - Iter [27500/38400] lr: 9.300e-04, eta: 0:09:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0255 2024-01-03 17:35:58,125 - mmseg - INFO - Iter [27550/38400] lr: 9.221e-04, eta: 0:09:56, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0266 2024-01-03 17:36:00,704 - mmseg - INFO - Iter [27600/38400] lr: 9.142e-04, eta: 0:09:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1152, decode.loss_grad: 0.0000, loss: 0.1152, grad_norm: 0.0254 2024-01-03 17:36:03,283 - mmseg - INFO - Iter [27650/38400] lr: 9.063e-04, eta: 0:09:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0265 2024-01-03 17:36:06,073 - mmseg - INFO - Iter [27700/38400] lr: 8.984e-04, eta: 0:09:48, time: 0.056, data_time: 0.006, memory: 751, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0262 2024-01-03 17:36:08,652 - mmseg - INFO - Iter [27750/38400] lr: 8.906e-04, eta: 0:09:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0262 2024-01-03 17:36:11,216 - mmseg - INFO - Iter [27800/38400] lr: 8.828e-04, eta: 0:09:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0257 2024-01-03 17:36:13,783 - mmseg - INFO - Iter [27850/38400] lr: 8.750e-04, eta: 0:09:40, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0265 2024-01-03 17:36:16,435 - mmseg - INFO - Iter [27900/38400] lr: 8.672e-04, eta: 0:09:37, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0265 2024-01-03 17:36:19,068 - mmseg - INFO - Iter [27950/38400] lr: 8.595e-04, eta: 0:09:34, time: 0.053, data_time: 0.003, memory: 751, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0268 2024-01-03 17:36:21,622 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:36:21,622 - mmseg - INFO - Iter [28000/38400] lr: 8.518e-04, eta: 0:09:31, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0258 2024-01-03 17:36:24,194 - mmseg - INFO - Iter [28050/38400] lr: 8.441e-04, eta: 0:09:28, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1181, decode.loss_grad: 0.0000, loss: 0.1181, grad_norm: 0.0271 2024-01-03 17:36:26,768 - mmseg - INFO - Iter [28100/38400] lr: 8.365e-04, eta: 0:09:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1167, decode.loss_grad: 0.0000, loss: 0.1167, grad_norm: 0.0264 2024-01-03 17:36:29,496 - mmseg - INFO - Iter [28150/38400] lr: 8.288e-04, eta: 0:09:23, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0258 2024-01-03 17:36:32,074 - mmseg - INFO - Iter [28200/38400] lr: 8.213e-04, eta: 0:09:20, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1158, decode.loss_grad: 0.0000, loss: 0.1158, grad_norm: 0.0270 2024-01-03 17:36:34,630 - mmseg - INFO - Iter [28250/38400] lr: 8.137e-04, eta: 0:09:17, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0264 2024-01-03 17:36:37,213 - mmseg - INFO - Iter [28300/38400] lr: 8.062e-04, eta: 0:09:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0255 2024-01-03 17:36:40,067 - mmseg - INFO - Iter [28350/38400] lr: 7.986e-04, eta: 0:09:12, time: 0.057, data_time: 0.002, memory: 751, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0261 2024-01-03 17:36:42,644 - mmseg - INFO - Iter [28400/38400] lr: 7.912e-04, eta: 0:09:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1169, decode.loss_grad: 0.0000, loss: 0.1169, grad_norm: 0.0265 2024-01-03 17:36:45,235 - mmseg - INFO - Iter [28450/38400] lr: 7.837e-04, eta: 0:09:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1177, decode.loss_grad: 0.0000, loss: 0.1177, grad_norm: 0.0273 2024-01-03 17:36:47,935 - mmseg - INFO - Iter [28500/38400] lr: 7.763e-04, eta: 0:09:03, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0259 2024-01-03 17:36:50,565 - mmseg - INFO - Iter [28550/38400] lr: 7.689e-04, eta: 0:09:00, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1165, decode.loss_grad: 0.0000, loss: 0.1165, grad_norm: 0.0263 2024-01-03 17:36:53,145 - mmseg - INFO - Iter [28600/38400] lr: 7.615e-04, eta: 0:08:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1173, decode.loss_grad: 0.0000, loss: 0.1173, grad_norm: 0.0270 2024-01-03 17:36:55,732 - mmseg - INFO - Iter [28650/38400] lr: 7.542e-04, eta: 0:08:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0258 2024-01-03 17:36:58,488 - mmseg - INFO - Iter [28700/38400] lr: 7.469e-04, eta: 0:08:52, time: 0.055, data_time: 0.005, memory: 751, decode.loss_depth: 0.1180, decode.loss_grad: 0.0000, loss: 0.1180, grad_norm: 0.0258 2024-01-03 17:37:01,116 - mmseg - INFO - Iter [28750/38400] lr: 7.396e-04, eta: 0:08:49, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0260 2024-01-03 17:37:05,733 - mmseg - INFO - Saving checkpoint at 28800 iterations 2024-01-03 17:37:05,746 - mmseg - INFO - Iter [28800/38400] lr: 7.324e-04, eta: 0:08:47, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0251 2024-01-03 17:37:10,365 - mmseg - INFO - Summary: 2024-01-03 17:37:10,365 - mmseg - INFO - +--------+--------+-------+---------+--------+--------+----------+--------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+-------+---------+--------+--------+----------+--------+--------+ | 0.7378 | 0.9531 | 0.992 | 0.1692 | 0.5614 | 0.0714 | 0.2051 | 17.082 | 0.1206 | +--------+--------+-------+---------+--------+--------+----------+--------+--------+ 2024-01-03 17:37:10,366 - mmseg - INFO - Iter(val) [82] a1: 0.7378, a2: 0.9531, a3: 0.9920, abs_rel: 0.16916713118553162, rmse: 0.5613712072372437, log_10: 0.07135051488876343, rmse_log: 0.20508892834186554, silog: 17.0820, sq_rel: 0.12063416838645935 2024-01-03 17:37:12,955 - mmseg - INFO - Iter [28850/38400] lr: 7.252e-04, eta: 0:08:46, time: 0.144, data_time: 0.095, memory: 751, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0269 2024-01-03 17:37:15,542 - mmseg - INFO - Iter [28900/38400] lr: 7.180e-04, eta: 0:08:43, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0257 2024-01-03 17:37:18,092 - mmseg - INFO - Iter [28950/38400] lr: 7.108e-04, eta: 0:08:40, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1160, decode.loss_grad: 0.0000, loss: 0.1160, grad_norm: 0.0260 2024-01-03 17:37:20,690 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:37:20,690 - mmseg - INFO - Iter [29000/38400] lr: 7.037e-04, eta: 0:08:37, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0250 2024-01-03 17:37:23,260 - mmseg - INFO - Iter [29050/38400] lr: 6.966e-04, eta: 0:08:35, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1159, decode.loss_grad: 0.0000, loss: 0.1159, grad_norm: 0.0258 2024-01-03 17:37:25,844 - mmseg - INFO - Iter [29100/38400] lr: 6.895e-04, eta: 0:08:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0268 2024-01-03 17:37:28,463 - mmseg - INFO - Iter [29150/38400] lr: 6.825e-04, eta: 0:08:29, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1170, decode.loss_grad: 0.0000, loss: 0.1170, grad_norm: 0.0257 2024-01-03 17:37:31,080 - mmseg - INFO - Iter [29200/38400] lr: 6.755e-04, eta: 0:08:26, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0261 2024-01-03 17:37:33,660 - mmseg - INFO - Iter [29250/38400] lr: 6.685e-04, eta: 0:08:23, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0258 2024-01-03 17:37:36,236 - mmseg - INFO - Iter [29300/38400] lr: 6.616e-04, eta: 0:08:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0252 2024-01-03 17:37:38,823 - mmseg - INFO - Iter [29350/38400] lr: 6.546e-04, eta: 0:08:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1172, decode.loss_grad: 0.0000, loss: 0.1172, grad_norm: 0.0269 2024-01-03 17:37:41,477 - mmseg - INFO - Iter [29400/38400] lr: 6.478e-04, eta: 0:08:15, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0251 2024-01-03 17:37:44,050 - mmseg - INFO - Iter [29450/38400] lr: 6.409e-04, eta: 0:08:12, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0264 2024-01-03 17:37:46,627 - mmseg - INFO - Iter [29500/38400] lr: 6.341e-04, eta: 0:08:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0259 2024-01-03 17:37:49,213 - mmseg - INFO - Iter [29550/38400] lr: 6.273e-04, eta: 0:08:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1166, decode.loss_grad: 0.0000, loss: 0.1166, grad_norm: 0.0265 2024-01-03 17:37:51,813 - mmseg - INFO - Iter [29600/38400] lr: 6.205e-04, eta: 0:08:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1145, decode.loss_grad: 0.0000, loss: 0.1145, grad_norm: 0.0262 2024-01-03 17:37:54,419 - mmseg - INFO - Iter [29650/38400] lr: 6.138e-04, eta: 0:08:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0260 2024-01-03 17:37:56,997 - mmseg - INFO - Iter [29700/38400] lr: 6.071e-04, eta: 0:07:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0252 2024-01-03 17:37:59,584 - mmseg - INFO - Iter [29750/38400] lr: 6.004e-04, eta: 0:07:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0247 2024-01-03 17:38:02,176 - mmseg - INFO - Iter [29800/38400] lr: 5.938e-04, eta: 0:07:53, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0256 2024-01-03 17:38:04,753 - mmseg - INFO - Iter [29850/38400] lr: 5.872e-04, eta: 0:07:50, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1141, decode.loss_grad: 0.0000, loss: 0.1141, grad_norm: 0.0267 2024-01-03 17:38:07,331 - mmseg - INFO - Iter [29900/38400] lr: 5.806e-04, eta: 0:07:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0263 2024-01-03 17:38:09,913 - mmseg - INFO - Iter [29950/38400] lr: 5.741e-04, eta: 0:07:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0270 2024-01-03 17:38:12,536 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:38:12,537 - mmseg - INFO - Iter [30000/38400] lr: 5.676e-04, eta: 0:07:41, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0264 2024-01-03 17:38:15,120 - mmseg - INFO - Iter [30050/38400] lr: 5.611e-04, eta: 0:07:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0264 2024-01-03 17:38:17,704 - mmseg - INFO - Iter [30100/38400] lr: 5.547e-04, eta: 0:07:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0252 2024-01-03 17:38:20,295 - mmseg - INFO - Iter [30150/38400] lr: 5.483e-04, eta: 0:07:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0263 2024-01-03 17:38:22,869 - mmseg - INFO - Iter [30200/38400] lr: 5.419e-04, eta: 0:07:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0249 2024-01-03 17:38:25,453 - mmseg - INFO - Iter [30250/38400] lr: 5.356e-04, eta: 0:07:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0257 2024-01-03 17:38:30,142 - mmseg - INFO - Iter [30300/38400] lr: 5.293e-04, eta: 0:07:25, time: 0.094, data_time: 0.044, memory: 751, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0250 2024-01-03 17:38:32,733 - mmseg - INFO - Iter [30350/38400] lr: 5.230e-04, eta: 0:07:22, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0237 2024-01-03 17:38:35,362 - mmseg - INFO - Saving checkpoint at 30400 iterations 2024-01-03 17:38:35,373 - mmseg - INFO - Iter [30400/38400] lr: 5.167e-04, eta: 0:07:20, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0249 2024-01-03 17:38:37,936 - mmseg - INFO - Iter [30450/38400] lr: 5.105e-04, eta: 0:07:17, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0252 2024-01-03 17:38:40,495 - mmseg - INFO - Iter [30500/38400] lr: 5.044e-04, eta: 0:07:14, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0254 2024-01-03 17:38:43,089 - mmseg - INFO - Iter [30550/38400] lr: 4.982e-04, eta: 0:07:11, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0267 2024-01-03 17:38:45,700 - mmseg - INFO - Iter [30600/38400] lr: 4.921e-04, eta: 0:07:09, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0247 2024-01-03 17:38:48,249 - mmseg - INFO - Iter [30650/38400] lr: 4.860e-04, eta: 0:07:06, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0252 2024-01-03 17:38:50,806 - mmseg - INFO - Iter [30700/38400] lr: 4.800e-04, eta: 0:07:03, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0263 2024-01-03 17:38:53,383 - mmseg - INFO - Iter [30750/38400] lr: 4.740e-04, eta: 0:07:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0254 2024-01-03 17:38:56,097 - mmseg - INFO - Iter [30800/38400] lr: 4.680e-04, eta: 0:06:57, time: 0.054, data_time: 0.004, memory: 751, decode.loss_depth: 0.1148, decode.loss_grad: 0.0000, loss: 0.1148, grad_norm: 0.0254 2024-01-03 17:38:58,647 - mmseg - INFO - Iter [30850/38400] lr: 4.621e-04, eta: 0:06:55, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0245 2024-01-03 17:39:01,240 - mmseg - INFO - Iter [30900/38400] lr: 4.562e-04, eta: 0:06:52, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1163, decode.loss_grad: 0.0000, loss: 0.1163, grad_norm: 0.0257 2024-01-03 17:39:03,781 - mmseg - INFO - Iter [30950/38400] lr: 4.503e-04, eta: 0:06:49, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0260 2024-01-03 17:39:06,380 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:39:06,380 - mmseg - INFO - Iter [31000/38400] lr: 4.444e-04, eta: 0:06:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1164, decode.loss_grad: 0.0000, loss: 0.1164, grad_norm: 0.0261 2024-01-03 17:39:08,963 - mmseg - INFO - Iter [31050/38400] lr: 4.386e-04, eta: 0:06:43, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0255 2024-01-03 17:39:11,576 - mmseg - INFO - Iter [31100/38400] lr: 4.329e-04, eta: 0:06:41, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0254 2024-01-03 17:39:14,155 - mmseg - INFO - Iter [31150/38400] lr: 4.271e-04, eta: 0:06:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0261 2024-01-03 17:39:16,809 - mmseg - INFO - Iter [31200/38400] lr: 4.214e-04, eta: 0:06:35, time: 0.053, data_time: 0.004, memory: 751, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0268 2024-01-03 17:39:19,370 - mmseg - INFO - Iter [31250/38400] lr: 4.158e-04, eta: 0:06:32, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1153, decode.loss_grad: 0.0000, loss: 0.1153, grad_norm: 0.0261 2024-01-03 17:39:21,946 - mmseg - INFO - Iter [31300/38400] lr: 4.101e-04, eta: 0:06:29, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0265 2024-01-03 17:39:24,536 - mmseg - INFO - Iter [31350/38400] lr: 4.045e-04, eta: 0:06:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1144, decode.loss_grad: 0.0000, loss: 0.1144, grad_norm: 0.0267 2024-01-03 17:39:27,145 - mmseg - INFO - Iter [31400/38400] lr: 3.990e-04, eta: 0:06:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0252 2024-01-03 17:39:29,737 - mmseg - INFO - Iter [31450/38400] lr: 3.935e-04, eta: 0:06:21, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0245 2024-01-03 17:39:32,327 - mmseg - INFO - Iter [31500/38400] lr: 3.880e-04, eta: 0:06:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0250 2024-01-03 17:39:34,906 - mmseg - INFO - Iter [31550/38400] lr: 3.825e-04, eta: 0:06:16, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0253 2024-01-03 17:39:37,684 - mmseg - INFO - Iter [31600/38400] lr: 3.771e-04, eta: 0:06:13, time: 0.056, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0251 2024-01-03 17:39:40,255 - mmseg - INFO - Iter [31650/38400] lr: 3.717e-04, eta: 0:06:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0255 2024-01-03 17:39:42,832 - mmseg - INFO - Iter [31700/38400] lr: 3.664e-04, eta: 0:06:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1162, decode.loss_grad: 0.0000, loss: 0.1162, grad_norm: 0.0250 2024-01-03 17:39:45,390 - mmseg - INFO - Iter [31750/38400] lr: 3.611e-04, eta: 0:06:05, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1161, decode.loss_grad: 0.0000, loss: 0.1161, grad_norm: 0.0256 2024-01-03 17:39:50,113 - mmseg - INFO - Iter [31800/38400] lr: 3.558e-04, eta: 0:06:02, time: 0.094, data_time: 0.044, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0240 2024-01-03 17:39:52,692 - mmseg - INFO - Iter [31850/38400] lr: 3.505e-04, eta: 0:05:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0254 2024-01-03 17:39:55,278 - mmseg - INFO - Iter [31900/38400] lr: 3.453e-04, eta: 0:05:57, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0252 2024-01-03 17:39:58,016 - mmseg - INFO - Iter [31950/38400] lr: 3.402e-04, eta: 0:05:54, time: 0.055, data_time: 0.002, memory: 751, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0254 2024-01-03 17:40:00,613 - mmseg - INFO - Saving checkpoint at 32000 iterations 2024-01-03 17:40:00,629 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:00,630 - mmseg - INFO - Iter [32000/38400] lr: 3.350e-04, eta: 0:05:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0255 2024-01-03 17:40:05,281 - mmseg - INFO - Summary: 2024-01-03 17:40:05,281 - mmseg - INFO - +--------+-------+--------+---------+------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+-------+--------+---------+------+--------+----------+---------+--------+ | 0.7385 | 0.954 | 0.9922 | 0.1686 | 0.56 | 0.0711 | 0.2047 | 17.0812 | 0.1197 | +--------+-------+--------+---------+------+--------+----------+---------+--------+ 2024-01-03 17:40:05,282 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:05,282 - mmseg - INFO - Iter(val) [82] a1: 0.7385, a2: 0.9540, a3: 0.9922, abs_rel: 0.16855189204216003, rmse: 0.5600332617759705, log_10: 0.0711112916469574, rmse_log: 0.2047053873538971, silog: 17.0812, sq_rel: 0.1197417601943016 2024-01-03 17:40:07,903 - mmseg - INFO - Iter [32050/38400] lr: 3.299e-04, eta: 0:05:49, time: 0.145, data_time: 0.095, memory: 751, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0250 2024-01-03 17:40:10,476 - mmseg - INFO - Iter [32100/38400] lr: 3.249e-04, eta: 0:05:46, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0252 2024-01-03 17:40:13,052 - mmseg - INFO - Iter [32150/38400] lr: 3.199e-04, eta: 0:05:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0248 2024-01-03 17:40:15,620 - mmseg - INFO - Iter [32200/38400] lr: 3.149e-04, eta: 0:05:41, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0255 2024-01-03 17:40:18,169 - mmseg - INFO - Iter [32250/38400] lr: 3.099e-04, eta: 0:05:38, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0246 2024-01-03 17:40:20,803 - mmseg - INFO - Iter [32300/38400] lr: 3.050e-04, eta: 0:05:35, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0249 2024-01-03 17:40:23,368 - mmseg - INFO - Iter [32350/38400] lr: 3.001e-04, eta: 0:05:33, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0246 2024-01-03 17:40:25,944 - mmseg - INFO - Iter [32400/38400] lr: 2.953e-04, eta: 0:05:30, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0251 2024-01-03 17:40:28,519 - mmseg - INFO - Iter [32450/38400] lr: 2.905e-04, eta: 0:05:27, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0262 2024-01-03 17:40:31,088 - mmseg - INFO - Iter [32500/38400] lr: 2.857e-04, eta: 0:05:24, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0259 2024-01-03 17:40:33,658 - mmseg - INFO - Iter [32550/38400] lr: 2.810e-04, eta: 0:05:21, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1151, decode.loss_grad: 0.0000, loss: 0.1151, grad_norm: 0.0258 2024-01-03 17:40:36,279 - mmseg - INFO - Iter [32600/38400] lr: 2.763e-04, eta: 0:05:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0247 2024-01-03 17:40:38,868 - mmseg - INFO - Iter [32650/38400] lr: 2.716e-04, eta: 0:05:16, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0254 2024-01-03 17:40:41,484 - mmseg - INFO - Iter [32700/38400] lr: 2.670e-04, eta: 0:05:13, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0251 2024-01-03 17:40:44,036 - mmseg - INFO - Iter [32750/38400] lr: 2.625e-04, eta: 0:05:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0247 2024-01-03 17:40:46,592 - mmseg - INFO - Iter [32800/38400] lr: 2.579e-04, eta: 0:05:07, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0247 2024-01-03 17:40:49,173 - mmseg - INFO - Iter [32850/38400] lr: 2.534e-04, eta: 0:05:05, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1133, decode.loss_grad: 0.0000, loss: 0.1133, grad_norm: 0.0252 2024-01-03 17:40:51,735 - mmseg - INFO - Iter [32900/38400] lr: 2.489e-04, eta: 0:05:02, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0259 2024-01-03 17:40:54,334 - mmseg - INFO - Iter [32950/38400] lr: 2.445e-04, eta: 0:04:59, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0260 2024-01-03 17:40:56,905 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:40:56,906 - mmseg - INFO - Iter [33000/38400] lr: 2.401e-04, eta: 0:04:56, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0236 2024-01-03 17:40:59,481 - mmseg - INFO - Iter [33050/38400] lr: 2.358e-04, eta: 0:04:54, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1155, decode.loss_grad: 0.0000, loss: 0.1155, grad_norm: 0.0246 2024-01-03 17:41:02,060 - mmseg - INFO - Iter [33100/38400] lr: 2.314e-04, eta: 0:04:51, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0246 2024-01-03 17:41:04,644 - mmseg - INFO - Iter [33150/38400] lr: 2.272e-04, eta: 0:04:48, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0247 2024-01-03 17:41:07,256 - mmseg - INFO - Iter [33200/38400] lr: 2.229e-04, eta: 0:04:45, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0242 2024-01-03 17:41:09,854 - mmseg - INFO - Iter [33250/38400] lr: 2.187e-04, eta: 0:04:43, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0249 2024-01-03 17:41:12,476 - mmseg - INFO - Iter [33300/38400] lr: 2.146e-04, eta: 0:04:40, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0252 2024-01-03 17:41:17,138 - mmseg - INFO - Iter [33350/38400] lr: 2.104e-04, eta: 0:04:37, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0252 2024-01-03 17:41:19,708 - mmseg - INFO - Iter [33400/38400] lr: 2.063e-04, eta: 0:04:35, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0252 2024-01-03 17:41:22,294 - mmseg - INFO - Iter [33450/38400] lr: 2.023e-04, eta: 0:04:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1156, decode.loss_grad: 0.0000, loss: 0.1156, grad_norm: 0.0244 2024-01-03 17:41:24,871 - mmseg - INFO - Iter [33500/38400] lr: 1.983e-04, eta: 0:04:29, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1138, decode.loss_grad: 0.0000, loss: 0.1138, grad_norm: 0.0247 2024-01-03 17:41:27,460 - mmseg - INFO - Iter [33550/38400] lr: 1.943e-04, eta: 0:04:26, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1149, decode.loss_grad: 0.0000, loss: 0.1149, grad_norm: 0.0247 2024-01-03 17:41:30,051 - mmseg - INFO - Saving checkpoint at 33600 iterations 2024-01-03 17:41:30,063 - mmseg - INFO - Iter [33600/38400] lr: 1.904e-04, eta: 0:04:23, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0249 2024-01-03 17:41:32,634 - mmseg - INFO - Iter [33650/38400] lr: 1.865e-04, eta: 0:04:21, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0249 2024-01-03 17:41:35,231 - mmseg - INFO - Iter [33700/38400] lr: 1.826e-04, eta: 0:04:18, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0247 2024-01-03 17:41:37,799 - mmseg - INFO - Iter [33750/38400] lr: 1.788e-04, eta: 0:04:15, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0244 2024-01-03 17:41:40,388 - mmseg - INFO - Iter [33800/38400] lr: 1.750e-04, eta: 0:04:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0243 2024-01-03 17:41:42,963 - mmseg - INFO - Iter [33850/38400] lr: 1.713e-04, eta: 0:04:10, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0264 2024-01-03 17:41:45,557 - mmseg - INFO - Iter [33900/38400] lr: 1.676e-04, eta: 0:04:07, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0250 2024-01-03 17:41:48,135 - mmseg - INFO - Iter [33950/38400] lr: 1.639e-04, eta: 0:04:04, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1102, decode.loss_grad: 0.0000, loss: 0.1102, grad_norm: 0.0246 2024-01-03 17:41:50,748 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:41:50,748 - mmseg - INFO - Iter [34000/38400] lr: 1.603e-04, eta: 0:04:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0246 2024-01-03 17:41:53,412 - mmseg - INFO - Iter [34050/38400] lr: 1.567e-04, eta: 0:03:58, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1150, decode.loss_grad: 0.0000, loss: 0.1150, grad_norm: 0.0248 2024-01-03 17:41:55,974 - mmseg - INFO - Iter [34100/38400] lr: 1.532e-04, eta: 0:03:56, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0241 2024-01-03 17:41:58,525 - mmseg - INFO - Iter [34150/38400] lr: 1.497e-04, eta: 0:03:53, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1110, decode.loss_grad: 0.0000, loss: 0.1110, grad_norm: 0.0246 2024-01-03 17:42:01,090 - mmseg - INFO - Iter [34200/38400] lr: 1.462e-04, eta: 0:03:50, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0247 2024-01-03 17:42:03,719 - mmseg - INFO - Iter [34250/38400] lr: 1.428e-04, eta: 0:03:47, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1147, decode.loss_grad: 0.0000, loss: 0.1147, grad_norm: 0.0255 2024-01-03 17:42:06,271 - mmseg - INFO - Iter [34300/38400] lr: 1.394e-04, eta: 0:03:45, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0249 2024-01-03 17:42:08,841 - mmseg - INFO - Iter [34350/38400] lr: 1.360e-04, eta: 0:03:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1140, decode.loss_grad: 0.0000, loss: 0.1140, grad_norm: 0.0248 2024-01-03 17:42:11,416 - mmseg - INFO - Iter [34400/38400] lr: 1.327e-04, eta: 0:03:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0244 2024-01-03 17:42:14,002 - mmseg - INFO - Iter [34450/38400] lr: 1.295e-04, eta: 0:03:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1099, decode.loss_grad: 0.0000, loss: 0.1099, grad_norm: 0.0245 2024-01-03 17:42:16,601 - mmseg - INFO - Iter [34500/38400] lr: 1.262e-04, eta: 0:03:34, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0249 2024-01-03 17:42:19,174 - mmseg - INFO - Iter [34550/38400] lr: 1.231e-04, eta: 0:03:31, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0248 2024-01-03 17:42:21,755 - mmseg - INFO - Iter [34600/38400] lr: 1.199e-04, eta: 0:03:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0241 2024-01-03 17:42:24,375 - mmseg - INFO - Iter [34650/38400] lr: 1.168e-04, eta: 0:03:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1137, decode.loss_grad: 0.0000, loss: 0.1137, grad_norm: 0.0241 2024-01-03 17:42:27,267 - mmseg - INFO - Iter [34700/38400] lr: 1.137e-04, eta: 0:03:23, time: 0.058, data_time: 0.002, memory: 751, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0250 2024-01-03 17:42:29,851 - mmseg - INFO - Iter [34750/38400] lr: 1.107e-04, eta: 0:03:20, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0243 2024-01-03 17:42:32,448 - mmseg - INFO - Iter [34800/38400] lr: 1.077e-04, eta: 0:03:17, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1142, decode.loss_grad: 0.0000, loss: 0.1142, grad_norm: 0.0248 2024-01-03 17:42:37,127 - mmseg - INFO - Iter [34850/38400] lr: 1.048e-04, eta: 0:03:15, time: 0.094, data_time: 0.044, memory: 751, decode.loss_depth: 0.1096, decode.loss_grad: 0.0000, loss: 0.1096, grad_norm: 0.0243 2024-01-03 17:42:39,705 - mmseg - INFO - Iter [34900/38400] lr: 1.018e-04, eta: 0:03:12, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0243 2024-01-03 17:42:42,283 - mmseg - INFO - Iter [34950/38400] lr: 9.898e-05, eta: 0:03:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0247 2024-01-03 17:42:44,861 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:42:44,861 - mmseg - INFO - Iter [35000/38400] lr: 9.615e-05, eta: 0:03:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0257 2024-01-03 17:42:47,450 - mmseg - INFO - Iter [35050/38400] lr: 9.336e-05, eta: 0:03:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0240 2024-01-03 17:42:50,032 - mmseg - INFO - Iter [35100/38400] lr: 9.061e-05, eta: 0:03:01, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1120, decode.loss_grad: 0.0000, loss: 0.1120, grad_norm: 0.0246 2024-01-03 17:42:52,642 - mmseg - INFO - Iter [35150/38400] lr: 8.791e-05, eta: 0:02:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0245 2024-01-03 17:42:55,209 - mmseg - INFO - Saving checkpoint at 35200 iterations 2024-01-03 17:42:55,226 - mmseg - INFO - Iter [35200/38400] lr: 8.524e-05, eta: 0:02:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0250 2024-01-03 17:42:59,846 - mmseg - INFO - Summary: 2024-01-03 17:42:59,847 - mmseg - INFO - +--------+--------+--------+---------+------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+------+--------+----------+---------+--------+ | 0.7395 | 0.9545 | 0.9924 | 0.1675 | 0.56 | 0.0709 | 0.2042 | 17.0794 | 0.1189 | +--------+--------+--------+---------+------+--------+----------+---------+--------+ 2024-01-03 17:42:59,849 - mmseg - INFO - The previous best checkpoint ./work_dirs/depth_eval/nyu_paper/original/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k/best_abs_rel_iter_22400.pth was removed 2024-01-03 17:42:59,860 - mmseg - INFO - Now best checkpoint is saved as best_abs_rel_iter_35200.pth. 2024-01-03 17:42:59,860 - mmseg - INFO - Best abs_rel is 0.1675 at 35200 iter. 2024-01-03 17:42:59,860 - mmseg - INFO - Iter(val) [82] a1: 0.7395, a2: 0.9545, a3: 0.9924, abs_rel: 0.1675218939781189, rmse: 0.5600202083587646, log_10: 0.07090776413679123, rmse_log: 0.20419591665267944, silog: 17.0794, sq_rel: 0.1188947781920433 2024-01-03 17:43:02,424 - mmseg - INFO - Iter [35250/38400] lr: 8.261e-05, eta: 0:02:53, time: 0.144, data_time: 0.095, memory: 751, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0240 2024-01-03 17:43:04,997 - mmseg - INFO - Iter [35300/38400] lr: 8.002e-05, eta: 0:02:50, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1091, decode.loss_grad: 0.0000, loss: 0.1091, grad_norm: 0.0252 2024-01-03 17:43:07,602 - mmseg - INFO - Iter [35350/38400] lr: 7.748e-05, eta: 0:02:47, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1123, decode.loss_grad: 0.0000, loss: 0.1123, grad_norm: 0.0244 2024-01-03 17:43:10,198 - mmseg - INFO - Iter [35400/38400] lr: 7.497e-05, eta: 0:02:45, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0240 2024-01-03 17:43:12,760 - mmseg - INFO - Iter [35450/38400] lr: 7.251e-05, eta: 0:02:42, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1157, decode.loss_grad: 0.0000, loss: 0.1157, grad_norm: 0.0256 2024-01-03 17:43:15,336 - mmseg - INFO - Iter [35500/38400] lr: 7.008e-05, eta: 0:02:39, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0256 2024-01-03 17:43:17,899 - mmseg - INFO - Iter [35550/38400] lr: 6.770e-05, eta: 0:02:36, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0239 2024-01-03 17:43:20,503 - mmseg - INFO - Iter [35600/38400] lr: 6.535e-05, eta: 0:02:33, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1134, decode.loss_grad: 0.0000, loss: 0.1134, grad_norm: 0.0244 2024-01-03 17:43:23,073 - mmseg - INFO - Iter [35650/38400] lr: 6.305e-05, eta: 0:02:31, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0252 2024-01-03 17:43:25,651 - mmseg - INFO - Iter [35700/38400] lr: 6.079e-05, eta: 0:02:28, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0244 2024-01-03 17:43:28,228 - mmseg - INFO - Iter [35750/38400] lr: 5.857e-05, eta: 0:02:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0238 2024-01-03 17:43:30,777 - mmseg - INFO - Iter [35800/38400] lr: 5.639e-05, eta: 0:02:22, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0242 2024-01-03 17:43:33,377 - mmseg - INFO - Iter [35850/38400] lr: 5.425e-05, eta: 0:02:20, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0239 2024-01-03 17:43:35,972 - mmseg - INFO - Iter [35900/38400] lr: 5.215e-05, eta: 0:02:17, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1125, decode.loss_grad: 0.0000, loss: 0.1125, grad_norm: 0.0240 2024-01-03 17:43:38,556 - mmseg - INFO - Iter [35950/38400] lr: 5.009e-05, eta: 0:02:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0239 2024-01-03 17:43:41,113 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:43:41,114 - mmseg - INFO - Iter [36000/38400] lr: 4.808e-05, eta: 0:02:11, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1108, decode.loss_grad: 0.0000, loss: 0.1108, grad_norm: 0.0240 2024-01-03 17:43:43,714 - mmseg - INFO - Iter [36050/38400] lr: 4.610e-05, eta: 0:02:09, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0238 2024-01-03 17:43:46,309 - mmseg - INFO - Iter [36100/38400] lr: 4.417e-05, eta: 0:02:06, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0242 2024-01-03 17:43:48,914 - mmseg - INFO - Iter [36150/38400] lr: 4.227e-05, eta: 0:02:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0249 2024-01-03 17:43:51,494 - mmseg - INFO - Iter [36200/38400] lr: 4.042e-05, eta: 0:02:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0246 2024-01-03 17:43:54,076 - mmseg - INFO - Iter [36250/38400] lr: 3.861e-05, eta: 0:01:58, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1135, decode.loss_grad: 0.0000, loss: 0.1135, grad_norm: 0.0249 2024-01-03 17:43:56,660 - mmseg - INFO - Iter [36300/38400] lr: 3.684e-05, eta: 0:01:55, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0240 2024-01-03 17:44:01,319 - mmseg - INFO - Iter [36350/38400] lr: 3.511e-05, eta: 0:01:52, time: 0.093, data_time: 0.044, memory: 751, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0234 2024-01-03 17:44:03,889 - mmseg - INFO - Iter [36400/38400] lr: 3.343e-05, eta: 0:01:49, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0241 2024-01-03 17:44:06,452 - mmseg - INFO - Iter [36450/38400] lr: 3.178e-05, eta: 0:01:47, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1101, decode.loss_grad: 0.0000, loss: 0.1101, grad_norm: 0.0236 2024-01-03 17:44:09,039 - mmseg - INFO - Iter [36500/38400] lr: 3.017e-05, eta: 0:01:44, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1111, decode.loss_grad: 0.0000, loss: 0.1111, grad_norm: 0.0245 2024-01-03 17:44:11,638 - mmseg - INFO - Iter [36550/38400] lr: 2.861e-05, eta: 0:01:41, time: 0.052, data_time: 0.003, memory: 751, decode.loss_depth: 0.1126, decode.loss_grad: 0.0000, loss: 0.1126, grad_norm: 0.0241 2024-01-03 17:44:14,227 - mmseg - INFO - Iter [36600/38400] lr: 2.709e-05, eta: 0:01:38, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0254 2024-01-03 17:44:16,822 - mmseg - INFO - Iter [36650/38400] lr: 2.561e-05, eta: 0:01:36, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0241 2024-01-03 17:44:19,395 - mmseg - INFO - Iter [36700/38400] lr: 2.417e-05, eta: 0:01:33, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0241 2024-01-03 17:44:21,968 - mmseg - INFO - Iter [36750/38400] lr: 2.277e-05, eta: 0:01:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0240 2024-01-03 17:44:24,554 - mmseg - INFO - Saving checkpoint at 36800 iterations 2024-01-03 17:44:24,571 - mmseg - INFO - Iter [36800/38400] lr: 2.141e-05, eta: 0:01:27, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0239 2024-01-03 17:44:27,164 - mmseg - INFO - Iter [36850/38400] lr: 2.010e-05, eta: 0:01:25, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1112, decode.loss_grad: 0.0000, loss: 0.1112, grad_norm: 0.0235 2024-01-03 17:44:29,727 - mmseg - INFO - Iter [36900/38400] lr: 1.883e-05, eta: 0:01:22, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0241 2024-01-03 17:44:32,381 - mmseg - INFO - Iter [36950/38400] lr: 1.759e-05, eta: 0:01:19, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1121, decode.loss_grad: 0.0000, loss: 0.1121, grad_norm: 0.0250 2024-01-03 17:44:34,955 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:44:34,955 - mmseg - INFO - Iter [37000/38400] lr: 1.640e-05, eta: 0:01:16, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1105, decode.loss_grad: 0.0000, loss: 0.1105, grad_norm: 0.0240 2024-01-03 17:44:37,538 - mmseg - INFO - Iter [37050/38400] lr: 1.526e-05, eta: 0:01:14, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0242 2024-01-03 17:44:40,112 - mmseg - INFO - Iter [37100/38400] lr: 1.415e-05, eta: 0:01:11, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0239 2024-01-03 17:44:42,708 - mmseg - INFO - Iter [37150/38400] lr: 1.308e-05, eta: 0:01:08, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1109, decode.loss_grad: 0.0000, loss: 0.1109, grad_norm: 0.0244 2024-01-03 17:44:45,259 - mmseg - INFO - Iter [37200/38400] lr: 1.206e-05, eta: 0:01:05, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0245 2024-01-03 17:44:47,849 - mmseg - INFO - Iter [37250/38400] lr: 1.108e-05, eta: 0:01:03, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1136, decode.loss_grad: 0.0000, loss: 0.1136, grad_norm: 0.0241 2024-01-03 17:44:50,424 - mmseg - INFO - Iter [37300/38400] lr: 1.014e-05, eta: 0:01:00, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1130, decode.loss_grad: 0.0000, loss: 0.1130, grad_norm: 0.0252 2024-01-03 17:44:53,208 - mmseg - INFO - Iter [37350/38400] lr: 9.236e-06, eta: 0:00:57, time: 0.056, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0238 2024-01-03 17:44:55,786 - mmseg - INFO - Iter [37400/38400] lr: 8.379e-06, eta: 0:00:54, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1129, decode.loss_grad: 0.0000, loss: 0.1129, grad_norm: 0.0244 2024-01-03 17:44:58,356 - mmseg - INFO - Iter [37450/38400] lr: 7.563e-06, eta: 0:00:52, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0245 2024-01-03 17:45:00,919 - mmseg - INFO - Iter [37500/38400] lr: 6.789e-06, eta: 0:00:49, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0240 2024-01-03 17:45:03,526 - mmseg - INFO - Iter [37550/38400] lr: 6.057e-06, eta: 0:00:46, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1139, decode.loss_grad: 0.0000, loss: 0.1139, grad_norm: 0.0249 2024-01-03 17:45:06,105 - mmseg - INFO - Iter [37600/38400] lr: 5.366e-06, eta: 0:00:43, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1128, decode.loss_grad: 0.0000, loss: 0.1128, grad_norm: 0.0232 2024-01-03 17:45:08,645 - mmseg - INFO - Iter [37650/38400] lr: 4.717e-06, eta: 0:00:41, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1132, decode.loss_grad: 0.0000, loss: 0.1132, grad_norm: 0.0243 2024-01-03 17:45:11,204 - mmseg - INFO - Iter [37700/38400] lr: 4.110e-06, eta: 0:00:38, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1104, decode.loss_grad: 0.0000, loss: 0.1104, grad_norm: 0.0244 2024-01-03 17:45:13,845 - mmseg - INFO - Iter [37750/38400] lr: 3.545e-06, eta: 0:00:35, time: 0.053, data_time: 0.005, memory: 751, decode.loss_depth: 0.1143, decode.loss_grad: 0.0000, loss: 0.1143, grad_norm: 0.0244 2024-01-03 17:45:16,432 - mmseg - INFO - Iter [37800/38400] lr: 3.021e-06, eta: 0:00:32, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1127, decode.loss_grad: 0.0000, loss: 0.1127, grad_norm: 0.0243 2024-01-03 17:45:19,003 - mmseg - INFO - Iter [37850/38400] lr: 2.540e-06, eta: 0:00:30, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1103, decode.loss_grad: 0.0000, loss: 0.1103, grad_norm: 0.0236 2024-01-03 17:45:23,790 - mmseg - INFO - Iter [37900/38400] lr: 2.100e-06, eta: 0:00:27, time: 0.096, data_time: 0.044, memory: 751, decode.loss_depth: 0.1118, decode.loss_grad: 0.0000, loss: 0.1118, grad_norm: 0.0245 2024-01-03 17:45:26,372 - mmseg - INFO - Iter [37950/38400] lr: 1.702e-06, eta: 0:00:24, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1131, decode.loss_grad: 0.0000, loss: 0.1131, grad_norm: 0.0258 2024-01-03 17:45:28,937 - mmseg - INFO - Exp name: vitb_nyu_linear_norm5e-3_config.py 2024-01-03 17:45:28,938 - mmseg - INFO - Iter [38000/38400] lr: 1.345e-06, eta: 0:00:21, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1124, decode.loss_grad: 0.0000, loss: 0.1124, grad_norm: 0.0237 2024-01-03 17:45:31,514 - mmseg - INFO - Iter [38050/38400] lr: 1.031e-06, eta: 0:00:19, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0251 2024-01-03 17:45:34,216 - mmseg - INFO - Iter [38100/38400] lr: 7.580e-07, eta: 0:00:16, time: 0.054, data_time: 0.002, memory: 751, decode.loss_depth: 0.1114, decode.loss_grad: 0.0000, loss: 0.1114, grad_norm: 0.0238 2024-01-03 17:45:36,785 - mmseg - INFO - Iter [38150/38400] lr: 5.271e-07, eta: 0:00:13, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1095, decode.loss_grad: 0.0000, loss: 0.1095, grad_norm: 0.0240 2024-01-03 17:45:39,365 - mmseg - INFO - Iter [38200/38400] lr: 3.381e-07, eta: 0:00:10, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1119, decode.loss_grad: 0.0000, loss: 0.1119, grad_norm: 0.0244 2024-01-03 17:45:41,928 - mmseg - INFO - Iter [38250/38400] lr: 1.908e-07, eta: 0:00:08, time: 0.051, data_time: 0.002, memory: 751, decode.loss_depth: 0.1107, decode.loss_grad: 0.0000, loss: 0.1107, grad_norm: 0.0248 2024-01-03 17:45:44,507 - mmseg - INFO - Iter [38300/38400] lr: 8.540e-08, eta: 0:00:05, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1116, decode.loss_grad: 0.0000, loss: 0.1116, grad_norm: 0.0245 2024-01-03 17:45:47,106 - mmseg - INFO - Iter [38350/38400] lr: 2.181e-08, eta: 0:00:02, time: 0.052, data_time: 0.002, memory: 751, decode.loss_depth: 0.1117, decode.loss_grad: 0.0000, loss: 0.1117, grad_norm: 0.0243 2024-01-03 17:45:49,729 - mmseg - INFO - Saving checkpoint at 38400 iterations 2024-01-03 17:45:49,746 - mmseg - INFO - Iter [38400/38400] lr: 5.837e-11, eta: 0:00:00, time: 0.053, data_time: 0.002, memory: 751, decode.loss_depth: 0.1146, decode.loss_grad: 0.0000, loss: 0.1146, grad_norm: 0.0235 2024-01-03 17:45:54,382 - mmseg - INFO - Summary: 2024-01-03 17:45:54,383 - mmseg - INFO - +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ | 0.7394 | 0.9543 | 0.9923 | 0.1679 | 0.5598 | 0.0709 | 0.2043 | 17.0811 | 0.1192 | +--------+--------+--------+---------+--------+--------+----------+---------+--------+ 2024-01-03 17:45:54,383 - mmseg - INFO - Iter(val) [82] a1: 0.7394, a2: 0.9543, a3: 0.9923, abs_rel: 0.16785314679145813, rmse: 0.5597608685493469, log_10: 0.07093314081430435, rmse_log: 0.2043306827545166, silog: 17.0811, sq_rel: 0.11921395361423492