2024/03/15 07:29:26 - patchstitcher - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.18 | packaged by conda-forge | (default, Oct 10 2023, 15:44:36) [GCC 12.3.0] CUDA available: True numpy_random_seed: 621 GPU 0,1,2,3: NVIDIA A100-SXM4-80GB CUDA_HOME: /sw/rl9g/cuda/11.8/rl9_binary NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (GCC) 11.3.1 20220421 (Red Hat 11.3.1-2) PyTorch: 2.1.2 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.1-Product Build 20220311 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.8 - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.7 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -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 -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -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=2.1.2, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.16.2 OpenCV: 4.8.1 MMEngine: 0.10.2 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'forkserver'} dist_cfg: {'backend': 'nccl'} seed: 621 Distributed launcher: pytorch Distributed training: True GPU number: 4 ------------------------------------------------------------ 2024/03/15 07:29:26 - patchstitcher - INFO - Config: collect_input_args = [ 'image_lr', 'crops_image_hr', 'depth_gt', 'crop_depths', 'bboxs', 'image_hr', ] convert_syncbn = True debug = False env_cfg = dict( cudnn_benchmark=True, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='forkserver')) find_unused_parameters = True general_dataloader = dict( batch_size=1, dataset=dict( dataset_name='', gt_dir=None, rgb_image_dir='', type='ImageDataset'), num_workers=2) launcher = 'pytorch' log_name = 'patchfusion' max_depth = 80 min_depth = 0.001 model = dict( coarse_branch=dict( attractor_alpha=1000, attractor_gamma=2, attractor_kind='mean', attractor_type='inv', aug=True, bin_centers_type='softplus', bin_embedding_dim=128, clip_grad=0.1, dataset='nyu', depth_anything=True, distributed=True, do_resize=False, force_keep_ar=True, freeze_midas_bn=True, gpu='NULL', img_size=[ 392, 518, ], inverse_midas=False, log_images_every=0.1, max_depth=80, max_temp=50.0, max_translation=100, memory_efficient=True, midas_model_type='vits', min_depth=0.001, min_temp=0.0212, model='zoedepth', n_attractors=[ 16, 8, 4, 1, ], n_bins=64, name='ZoeDepth', notes='', output_distribution='logbinomial', prefetch=False, pretrained_resource='local::./work_dir/DepthAnything_vits.pt', print_losses=False, project='ZoeDepth', random_crop=False, random_translate=False, root='.', save_dir='', shared_dict='NULL', tags='', train_midas=True, translate_prob=0.2, type='DA-ZoeDepth', uid='NULL', use_amp=False, use_pretrained_midas=True, use_shared_dict=False, validate_every=0.25, version_name='v1', workers=16), fine_branch=dict( attractor_alpha=1000, attractor_gamma=2, attractor_kind='mean', attractor_type='inv', aug=True, bin_centers_type='softplus', bin_embedding_dim=128, clip_grad=0.1, dataset='nyu', depth_anything=True, distributed=True, do_resize=False, force_keep_ar=True, freeze_midas_bn=True, gpu='NULL', img_size=[ 392, 518, ], inverse_midas=False, log_images_every=0.1, max_depth=80, max_temp=50.0, max_translation=100, memory_efficient=True, midas_model_type='vits', min_depth=0.001, min_temp=0.0212, model='zoedepth', n_attractors=[ 16, 8, 4, 1, ], n_bins=64, name='ZoeDepth', notes='', output_distribution='logbinomial', prefetch=False, pretrained_resource='local::./work_dir/DepthAnything_vits.pt', print_losses=False, project='ZoeDepth', random_crop=False, random_translate=False, root='.', save_dir='', shared_dict='NULL', tags='', train_midas=True, translate_prob=0.2, type='DA-ZoeDepth', uid='NULL', use_amp=False, use_pretrained_midas=True, use_shared_dict=False, validate_every=0.25, version_name='v1', workers=16), guided_fusion=dict( g2l=True, in_channels=[ 32, 64, 64, 64, 64, 64, ], n_channels=5, num_patches=[ 203056, 66304, 16576, 4144, 1036, 266, ], patch_process_shape=( 392, 518, ), type='GuidedFusionPatchFusion'), max_depth=80, min_depth=0.001, patch_process_shape=( 392, 518, ), pretrain_model=[ './work_dir/depthanything_vits_u4k/coarse_pretrain/checkpoint_24.pth', './work_dir/depthanything_vits_u4k/fine_pretrain/checkpoint_24.pth', ], sigloss=dict(type='SILogLoss'), type='PatchFusion') optim_wrapper = dict( clip_grad=dict(max_norm=0.1, norm_type=2, type='norm'), optimizer=dict(lr=0.0001, type='AdamW', weight_decay=0.001), paramwise_cfg=dict(bypass_duplicate=True, custom_keys=dict())) param_scheduler = dict( base_momentum=0.85, cycle_momentum=True, div_factor=10, final_div_factor=10000, max_momentum=0.95, pct_start=0.25, three_phase=False) project = 'patchfusion' tags = [ 'patchfusion', 'da', 'vits', ] test_in_dataloader = dict( batch_size=1, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='infer', split='./data/u4k/splits/test.txt', transform_cfg=dict(network_process_size=[ 384, 512, ]), type='UnrealStereo4kDataset'), num_workers=2) test_out_dataloader = dict( batch_size=1, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='infer', split='./data/u4k/splits/test_out.txt', transform_cfg=dict(network_process_size=[ 384, 512, ]), type='UnrealStereo4kDataset'), num_workers=2) train_cfg = dict( eval_start=0, log_interval=100, max_epochs=16, save_checkpoint_interval=16, train_log_img_interval=500, val_interval=2, val_log_img_interval=50, val_type='epoch_base') train_dataloader = dict( batch_size=4, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='train', resize_mode='depth-anything', split='./data/u4k/splits/train.txt', transform_cfg=dict( degree=1.0, network_process_size=[ 392, 518, ], random_crop=True), type='UnrealStereo4kDataset'), num_workers=4) val_dataloader = dict( batch_size=1, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='infer', resize_mode='depth-anything', split='./data/u4k/splits/val.txt', transform_cfg=dict(degree=1.0, network_process_size=[ 392, 518, ]), type='UnrealStereo4kDataset'), num_workers=2) work_dir = './work_dir/depthanything_vits_u4k/patchfusion' zoe_depth_config = dict( attractor_alpha=1000, attractor_gamma=2, attractor_kind='mean', attractor_type='inv', aug=True, bin_centers_type='softplus', bin_embedding_dim=128, clip_grad=0.1, dataset='nyu', depth_anything=True, distributed=True, do_resize=False, force_keep_ar=True, freeze_midas_bn=True, gpu='NULL', img_size=[ 392, 518, ], inverse_midas=False, log_images_every=0.1, max_depth=80, max_temp=50.0, max_translation=100, memory_efficient=True, midas_model_type='vits', min_depth=0.001, min_temp=0.0212, model='zoedepth', n_attractors=[ 16, 8, 4, 1, ], n_bins=64, name='ZoeDepth', notes='', output_distribution='logbinomial', prefetch=False, pretrained_resource='local::./work_dir/DepthAnything_vits.pt', print_losses=False, project='ZoeDepth', random_crop=False, random_translate=False, root='.', save_dir='', shared_dict='NULL', tags='', train_midas=True, translate_prob=0.2, type='DA-ZoeDepth', uid='NULL', use_amp=False, use_pretrained_midas=True, use_shared_dict=False, validate_every=0.25, version_name='v1', workers=16) 2024/03/15 07:29:27 - patchstitcher - INFO - Loading deepnet from local::./work_dir/DepthAnything_vits.pt 2024/03/15 07:29:27 - patchstitcher - INFO - Current zoedepth.core.prep.resizer is 2024/03/15 07:29:27 - patchstitcher - INFO - Loading coarse_branch from ./work_dir/depthanything_vits_u4k/coarse_pretrain/checkpoint_24.pth 2024/03/15 07:29:27 - patchstitcher - INFO - 2024/03/15 07:29:27 - patchstitcher - INFO - Loading deepnet from local::./work_dir/DepthAnything_vits.pt 2024/03/15 07:29:27 - patchstitcher - INFO - Current zoedepth.core.prep.resizer is 2024/03/15 07:29:27 - patchstitcher - INFO - Loading fine_branch from ./work_dir/depthanything_vits_u4k/fine_pretrain/checkpoint_24.pth 2024/03/15 07:29:27 - patchstitcher - INFO - 2024/03/15 07:29:28 - patchstitcher - INFO - DistributedDataParallel( (module): PatchFusion( (coarse_branch): ZoeDepth( (core): DepthAnythingCore( (core): DPT_DINOv2( (pretrained): DinoVisionTransformer( (patch_embed): PatchEmbed( (proj): Conv2d(3, 384, kernel_size=(14, 14), stride=(14, 14)) (norm): Identity() ) (blocks): ModuleList( (0-11): 12 x NestedTensorBlock( (norm1): LayerNorm((384,), eps=1e-06, elementwise_affine=True) (attn): MemEffAttention( (qkv): Linear(in_features=384, out_features=1152, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=384, out_features=384, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (ls1): LayerScale() (drop_path1): Identity() (norm2): LayerNorm((384,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=1536, out_features=384, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): Identity() ) ) (norm): LayerNorm((384,), eps=1e-06, elementwise_affine=True) (head): Identity() ) (depth_head): DPTHead( (projects): ModuleList( (0): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1)) (1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1)) (2): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1)) (3): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1)) ) (resize_layers): ModuleList( (0): ConvTranspose2d(48, 48, kernel_size=(4, 4), stride=(4, 4)) (1): ConvTranspose2d(96, 96, kernel_size=(2, 2), stride=(2, 2)) (2): Identity() (3): Conv2d(384, 384, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) ) (scratch): Module( (layer1_rn): Conv2d(48, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer2_rn): Conv2d(96, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer3_rn): Conv2d(192, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer4_rn): Conv2d(384, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (refinenet1): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet2): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet3): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet4): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (output_conv1): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (output_conv2): Sequential( (0): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(32, 1, kernel_size=(1, 1), stride=(1, 1)) (3): ReLU(inplace=True) (4): Identity() ) ) ) ) ) (conv2): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (seed_bin_regressor): SeedBinRegressorUnnormed( (_net): Sequential( (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (seed_projector): Projector( (_net): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) (projectors): ModuleList( (0-3): 4 x Projector( (_net): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (attractors): ModuleList( (0): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (1): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (2): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (3): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 1, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (conditional_log_binomial): ConditionalLogBinomial( (log_binomial_transform): LogBinomial() (mlp): Sequential( (0): Conv2d(161, 80, kernel_size=(1, 1), stride=(1, 1)) (1): GELU(approximate='none') (2): Conv2d(80, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (fine_branch): ZoeDepth( (core): DepthAnythingCore( (core): DPT_DINOv2( (pretrained): DinoVisionTransformer( (patch_embed): PatchEmbed( (proj): Conv2d(3, 384, kernel_size=(14, 14), stride=(14, 14)) (norm): Identity() ) (blocks): ModuleList( (0-11): 12 x NestedTensorBlock( (norm1): LayerNorm((384,), eps=1e-06, elementwise_affine=True) (attn): MemEffAttention( (qkv): Linear(in_features=384, out_features=1152, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=384, out_features=384, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (ls1): LayerScale() (drop_path1): Identity() (norm2): LayerNorm((384,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=384, out_features=1536, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=1536, out_features=384, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): Identity() ) ) (norm): LayerNorm((384,), eps=1e-06, elementwise_affine=True) (head): Identity() ) (depth_head): DPTHead( (projects): ModuleList( (0): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1)) (1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1)) (2): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1)) (3): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1)) ) (resize_layers): ModuleList( (0): ConvTranspose2d(48, 48, kernel_size=(4, 4), stride=(4, 4)) (1): ConvTranspose2d(96, 96, kernel_size=(2, 2), stride=(2, 2)) (2): Identity() (3): Conv2d(384, 384, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) ) (scratch): Module( (layer1_rn): Conv2d(48, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer2_rn): Conv2d(96, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer3_rn): Conv2d(192, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer4_rn): Conv2d(384, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (refinenet1): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet2): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet3): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet4): FeatureFusionBlock( (out_conv): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (output_conv1): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (output_conv2): Sequential( (0): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(32, 1, kernel_size=(1, 1), stride=(1, 1)) (3): ReLU(inplace=True) (4): Identity() ) ) ) ) ) (conv2): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1)) (seed_bin_regressor): SeedBinRegressorUnnormed( (_net): Sequential( (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (seed_projector): Projector( (_net): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) (projectors): ModuleList( (0-3): 4 x Projector( (_net): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (attractors): ModuleList( (0): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (1): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (2): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (3): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 1, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (conditional_log_binomial): ConditionalLogBinomial( (log_binomial_transform): LogBinomial() (mlp): Sequential( (0): Conv2d(161, 80, kernel_size=(1, 1), stride=(1, 1)) (1): GELU(approximate='none') (2): Conv2d(80, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (sigloss): SILogLoss() (fusion_conv_list): ModuleList( (0-4): 5 x Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (5): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (guided_fusion): GuidedFusionPatchFusion( (inc): DoubleConv( (double_conv): Sequential( (0): Conv2d(5, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (1): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) ) ) (down_conv_list): ModuleList( (0): Down( (maxpool_conv): Sequential( (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (1): DoubleConv( (double_conv): Sequential( (0): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) ) ) ) ) (1-4): 4 x Down( (maxpool_conv): Sequential( (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (1): DoubleConv( (double_conv): Sequential( (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) ) ) ) ) ) (up_conv_list): ModuleList( (0-3): 4 x Upv1( (conv): DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(192, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) ) (4): Upv1( (conv): DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(160, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) ) ) (g2l_att): ModuleList() (g2l_list): ModuleList( (0-1): 2 x G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-3): 4 x SwinTransformerBlock( (norm1): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=64, window_size=(12, 12), num_heads=32 (qkv): Linear(in_features=64, out_features=192, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=64, out_features=64, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=64, out_features=256, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=256, out_features=64, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 64, kernel_size=(1, 1), stride=(1, 1)) ) (2-3): 2 x G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-2): 3 x SwinTransformerBlock( (norm1): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=64, window_size=(12, 12), num_heads=16 (qkv): Linear(in_features=64, out_features=192, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=64, out_features=64, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=64, out_features=256, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=256, out_features=64, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 64, kernel_size=(1, 1), stride=(1, 1)) ) (4): G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-1): 2 x SwinTransformerBlock( (norm1): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=64, window_size=(12, 12), num_heads=8 (qkv): Linear(in_features=64, out_features=192, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=64, out_features=64, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=64, out_features=256, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=256, out_features=64, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 64, kernel_size=(1, 1), stride=(1, 1)) ) (5): G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-1): 2 x SwinTransformerBlock( (norm1): LayerNorm((32,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=32, window_size=(12, 12), num_heads=8 (qkv): Linear(in_features=32, out_features=96, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=32, out_features=32, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((32,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=32, out_features=128, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=128, out_features=32, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((32,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 32, kernel_size=(1, 1), stride=(1, 1)) ) ) (convs): ModuleList( (0-4): 5 x DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) (5): DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) ) ) (seed_bin_regressor): SeedBinRegressorUnnormed( (_net): Sequential( (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (seed_projector): Projector( (_net): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) (projectors): ModuleList( (0-3): 4 x Projector( (_net): Sequential( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (attractors): ModuleList( (0): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (1): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (2): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (3): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 1, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (conditional_log_binomial): ConditionalLogBinomial( (log_binomial_transform): LogBinomial() (mlp): Sequential( (0): Conv2d(161, 80, kernel_size=(1, 1), stride=(1, 1)) (1): GELU(approximate='none') (2): Conv2d(80, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) ) 2024/03/15 07:29:34 - patchstitcher - INFO - successfully init trainer 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.fusion_conv_list.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.fusion_conv_list.0.bias 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module.seed_bin_regressor._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.seed_bin_regressor._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.seed_projector._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.seed_projector._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.seed_projector._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.seed_projector._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.0._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.0._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.0._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.0._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.1._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.1._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.1._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.1._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.2._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.2._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.2._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.2._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.3._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.3._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.3._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.projectors.3._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.0._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.0._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.0._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.0._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.1._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.1._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.1._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.1._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.2._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.2._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.2._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.2._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.3._net.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.3._net.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.3._net.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.attractors.3._net.2.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.0.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.0.bias 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.2.weight 2024/03/15 07:29:34 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.2.bias 2024/03/15 07:32:01 - patchstitcher - INFO - Epoch: [01/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 9.088951110839844 - sig_loss: 9.088951110839844 2024/03/15 07:33:51 - patchstitcher - INFO - Epoch: [01/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 10.186747550964355 - sig_loss: 10.186747550964355 2024/03/15 07:35:43 - patchstitcher - INFO - Epoch: [01/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 5.8057050704956055 - sig_loss: 5.8057050704956055 2024/03/15 07:37:34 - patchstitcher - INFO - Epoch: [01/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 3.507359266281128 - sig_loss: 3.507359266281128 2024/03/15 07:40:57 - patchstitcher - INFO - Epoch: [02/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 3.601012706756592 - sig_loss: 3.601012706756592 2024/03/15 07:42:48 - patchstitcher - INFO - Epoch: [02/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 2.0724120140075684 - sig_loss: 2.0724120140075684 2024/03/15 07:44:37 - patchstitcher - INFO - Epoch: [02/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.867066502571106 - sig_loss: 1.867066502571106 2024/03/15 07:46:29 - patchstitcher - INFO - Epoch: [02/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 1.2382856607437134 - sig_loss: 1.2382856607437134 2024/03/15 07:48:24 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+----------+-----------+-----------+-----------+-----------+------------+-----------+----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+----------+-----------+-----------+-----------+-----------+------------+-----------+----------+ | 0.8245014 | 0.9536317 | 0.978513 | 0.1458762 | 3.0784135 | 0.0653375 | 0.2124487 | 18.7477429 | 0.5830149 | 2.158933 | +-----------+-----------+----------+-----------+-----------+-----------+-----------+------------+-----------+----------+ 2024/03/15 07:50:21 - patchstitcher - INFO - Epoch: [03/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 2.246709108352661 - sig_loss: 2.246709108352661 2024/03/15 07:52:12 - patchstitcher - INFO - Epoch: [03/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 1.2398436069488525 - sig_loss: 1.2398436069488525 2024/03/15 07:54:07 - patchstitcher - INFO - Epoch: [03/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.1895811557769775 - sig_loss: 1.1895811557769775 2024/03/15 07:56:01 - patchstitcher - INFO - Epoch: [03/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 1.1725659370422363 - sig_loss: 1.1725659370422363 2024/03/15 07:59:17 - patchstitcher - INFO - Epoch: [04/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 1.5296531915664673 - sig_loss: 1.5296531915664673 2024/03/15 08:01:06 - patchstitcher - INFO - Epoch: [04/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.6554194688796997 - sig_loss: 0.6554194688796997 2024/03/15 08:02:58 - patchstitcher - INFO - Epoch: [04/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.7219275832176208 - sig_loss: 0.7219275832176208 2024/03/15 08:04:46 - patchstitcher - INFO - Epoch: [04/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.5855780839920044 - sig_loss: 0.5855780839920044 2024/03/15 08:06:32 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+----------+ | 0.9364886 | 0.9916468 | 0.9968784 | 0.1269969 | 1.5382671 | 0.0514243 | 0.1438391 | 9.4389619 | 0.1894025 | 1.258988 | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+----------+ 2024/03/15 08:08:29 - patchstitcher - INFO - Epoch: [05/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.7347273230552673 - sig_loss: 0.7347273230552673 2024/03/15 08:10:22 - patchstitcher - INFO - Epoch: [05/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.5039417147636414 - sig_loss: 0.5039417147636414 2024/03/15 08:12:11 - patchstitcher - INFO - Epoch: [05/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.7847908735275269 - sig_loss: 0.7847908735275269 2024/03/15 08:14:03 - patchstitcher - INFO - Epoch: [05/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.3898926079273224 - sig_loss: 0.3898926079273224 2024/03/15 08:17:23 - patchstitcher - INFO - Epoch: [06/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 1.0257811546325684 - sig_loss: 1.0257811546325684 2024/03/15 08:19:11 - patchstitcher - INFO - Epoch: [06/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.8458202481269836 - sig_loss: 0.8458202481269836 2024/03/15 08:21:03 - patchstitcher - INFO - Epoch: [06/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.567626416683197 - sig_loss: 0.567626416683197 2024/03/15 08:22:55 - patchstitcher - INFO - Epoch: [06/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.5519287586212158 - sig_loss: 0.5519287586212158 2024/03/15 08:24:41 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9724073 | 0.9928337 | 0.9971162 | 0.0579427 | 1.3093408 | 0.0253313 | 0.0904551 | 8.3986621 | 0.1335955 | 1.0827504 | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 08:26:36 - patchstitcher - INFO - Epoch: [07/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.34281089901924133 - sig_loss: 0.34281089901924133 2024/03/15 08:28:27 - patchstitcher - INFO - Epoch: [07/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 1.1112661361694336 - sig_loss: 1.1112661361694336 2024/03/15 08:30:21 - patchstitcher - INFO - Epoch: [07/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.302087426185608 - sig_loss: 1.302087426185608 2024/03/15 08:32:09 - patchstitcher - INFO - Epoch: [07/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.8661139607429504 - sig_loss: 0.8661139607429504 2024/03/15 08:35:25 - patchstitcher - INFO - Epoch: [08/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.27660903334617615 - sig_loss: 0.27660903334617615 2024/03/15 08:37:16 - patchstitcher - INFO - Epoch: [08/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.283405601978302 - sig_loss: 0.283405601978302 2024/03/15 08:39:05 - patchstitcher - INFO - Epoch: [08/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.42920011281967163 - sig_loss: 0.42920011281967163 2024/03/15 08:40:53 - patchstitcher - INFO - Epoch: [08/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 1.6047943830490112 - sig_loss: 1.6047943830490112 2024/03/15 08:42:38 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9769595 | 0.9933058 | 0.9971508 | 0.0515932 | 1.2690557 | 0.0225415 | 0.0835451 | 7.6818873 | 0.1229265 | 0.9774805 | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 08:44:34 - patchstitcher - INFO - Epoch: [09/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.4381069540977478 - sig_loss: 0.4381069540977478 2024/03/15 08:46:25 - patchstitcher - INFO - Epoch: [09/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.5580072999000549 - sig_loss: 0.5580072999000549 2024/03/15 08:48:17 - patchstitcher - INFO - Epoch: [09/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.5283715724945068 - sig_loss: 0.5283715724945068 2024/03/15 08:50:07 - patchstitcher - INFO - Epoch: [09/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.4349801242351532 - sig_loss: 0.4349801242351532 2024/03/15 08:53:21 - patchstitcher - INFO - Epoch: [10/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.31138694286346436 - sig_loss: 0.31138694286346436 2024/03/15 08:55:13 - patchstitcher - INFO - Epoch: [10/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.4804566204547882 - sig_loss: 0.4804566204547882 2024/03/15 08:57:04 - patchstitcher - INFO - Epoch: [10/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.249344825744629 - sig_loss: 1.249344825744629 2024/03/15 08:58:54 - patchstitcher - INFO - Epoch: [10/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.709969699382782 - sig_loss: 0.709969699382782 2024/03/15 09:00:40 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9774357 | 0.9933226 | 0.9971929 | 0.0527099 | 1.2487739 | 0.0231302 | 0.0840302 | 7.6349905 | 0.1197366 | 0.9869539 | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 09:02:42 - patchstitcher - INFO - Epoch: [11/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 1.0747475624084473 - sig_loss: 1.0747475624084473 2024/03/15 09:04:31 - patchstitcher - INFO - Epoch: [11/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.8598241806030273 - sig_loss: 0.8598241806030273 2024/03/15 09:06:21 - patchstitcher - INFO - Epoch: [11/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.2119524478912354 - sig_loss: 1.2119524478912354 2024/03/15 09:08:09 - patchstitcher - INFO - Epoch: [11/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.6661930084228516 - sig_loss: 0.6661930084228516 2024/03/15 09:11:28 - patchstitcher - INFO - Epoch: [12/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.9896361231803894 - sig_loss: 0.9896361231803894 2024/03/15 09:13:23 - patchstitcher - INFO - Epoch: [12/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.5676484107971191 - sig_loss: 0.5676484107971191 2024/03/15 09:15:13 - patchstitcher - INFO - Epoch: [12/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.756153404712677 - sig_loss: 0.756153404712677 2024/03/15 09:17:04 - patchstitcher - INFO - Epoch: [12/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.7506179213523865 - sig_loss: 0.7506179213523865 2024/03/15 09:18:50 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+ | 0.9779995 | 0.9934567 | 0.997205 | 0.0477499 | 1.2371548 | 0.020665 | 0.0797043 | 7.4628689 | 0.1182562 | 0.9688643 | +-----------+-----------+----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+ 2024/03/15 09:20:47 - patchstitcher - INFO - Epoch: [13/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 1.8093539476394653 - sig_loss: 1.8093539476394653 2024/03/15 09:22:38 - patchstitcher - INFO - Epoch: [13/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.5200282335281372 - sig_loss: 0.5200282335281372 2024/03/15 09:24:29 - patchstitcher - INFO - Epoch: [13/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.3394041061401367 - sig_loss: 1.3394041061401367 2024/03/15 09:26:19 - patchstitcher - INFO - Epoch: [13/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.21983280777931213 - sig_loss: 0.21983280777931213 2024/03/15 09:29:33 - patchstitcher - INFO - Epoch: [14/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.2869156002998352 - sig_loss: 0.2869156002998352 2024/03/15 09:31:27 - patchstitcher - INFO - Epoch: [14/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.4588187336921692 - sig_loss: 0.4588187336921692 2024/03/15 09:33:15 - patchstitcher - INFO - Epoch: [14/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.29478126764297485 - sig_loss: 0.29478126764297485 2024/03/15 09:35:06 - patchstitcher - INFO - Epoch: [14/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.40359240770339966 - sig_loss: 0.40359240770339966 2024/03/15 09:36:52 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9782872 | 0.9936157 | 0.9972659 | 0.0477206 | 1.2295696 | 0.0205395 | 0.0790254 | 7.4115142 | 0.1175734 | 0.9644176 | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 09:38:46 - patchstitcher - INFO - Epoch: [15/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.33154720067977905 - sig_loss: 0.33154720067977905 2024/03/15 09:40:36 - patchstitcher - INFO - Epoch: [15/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.8081605434417725 - sig_loss: 0.8081605434417725 2024/03/15 09:42:25 - patchstitcher - INFO - Epoch: [15/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.1970497369766235 - sig_loss: 1.1970497369766235 2024/03/15 09:44:19 - patchstitcher - INFO - Epoch: [15/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.2877902388572693 - sig_loss: 0.2877902388572693 2024/03/15 09:47:39 - patchstitcher - INFO - Epoch: [16/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.7490944266319275 - sig_loss: 0.7490944266319275 2024/03/15 09:49:27 - patchstitcher - INFO - Epoch: [16/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.496704638004303 - sig_loss: 0.496704638004303 2024/03/15 09:51:18 - patchstitcher - INFO - Epoch: [16/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.5354593992233276 - sig_loss: 0.5354593992233276 2024/03/15 09:53:04 - patchstitcher - INFO - Epoch: [16/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.9501898884773254 - sig_loss: 0.9501898884773254 2024/03/15 09:54:50 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+-----------+-----------+ | 0.9783667 | 0.9935431 | 0.997246 | 0.0478827 | 1.2350241 | 0.0206808 | 0.0793662 | 7.402013 | 0.1158019 | 0.9521085 | +-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+-----------+-----------+ 2024/03/15 09:54:50 - patchstitcher - INFO - Saving ckp, but use the inner get_save_dict fuction to get model_dict 2024/03/15 09:54:50 - patchstitcher - INFO - For saving space. Would you like to save base model several times? :> 2024/03/15 09:54:50 - patchstitcher - INFO - save checkpoint_16.pth at ./work_dir/depthanything_vits_u4k/patchfusion