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- a2fseg18_fold1/huggingface/a2fseg18_fold1/config.json +7 -0
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a2fseg18_fold1/huggingface/a2fseg18_fold1/config.json
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{
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"mimose_model_name": "A2FSeg",
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"model_class": "A2FSeg",
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"model_kwargs": {
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"num_cls": 4
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}
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}
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a2fseg18_fold1/wandb/debug-internal.log
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a2fseg18_fold1/wandb/debug.log
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2026-07-14 23:09:57,911 INFO MainThread:817719 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-07-14 23:09:57,912 INFO MainThread:817719 [wandb_setup.py:_flush():81] Configure stats pid to 817719
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2026-07-14 23:09:57,912 INFO MainThread:817719 [wandb_setup.py:_flush():81] Loading settings from environment variables
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2026-07-14 23:09:57,912 INFO MainThread:817719 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /work/phd_mimose/runs/a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/logs/debug.log
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2026-07-14 23:09:57,913 INFO MainThread:817719 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/logs/debug-internal.log
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2026-07-14 23:09:57,913 INFO MainThread:817719 [wandb_init.py:init():850] calling init triggers
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2026-07-14 23:09:57,913 INFO MainThread:817719 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
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config: {'input_dir': '/work/phd_mimose/a2fseg-preprocessed', 'output_dir': '/work/phd_mimose/runs/a2fseg18_fold1', 'num_epochs': 300, 'validation_every': 10, 'batch_size': 8, 'num_workers': 8, 'fp16': True, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'patch_size': 80, 'debug': False, 'transform_kind': 'imfuse', 'train_masking_mode': 'random', 'val_masking_mode': 'validation', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 1}, 'model_class': 'A2FSeg', 'model_kwargs': {'num_cls': 4}, 'optimizer_class': 'SGD', 'optimizer': {'lr': 0.01, 'weight_decay': 3e-05, 'betas': None, 'momentum': 0.99, 'eps': None}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 300, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS18: 'brats18'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 0, 'patch_size': 80, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', '_wandb': {}}
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2026-07-14 23:09:57,913 INFO MainThread:817719 [wandb_init.py:init():898] starting backend
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2026-07-14 23:09:58,294 INFO MainThread:817719 [wandb_init.py:init():913] sending inform_init request
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2026-07-14 23:09:58,761 INFO MainThread:817719 [wandb_init.py:init():918] backend started and connected
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2026-07-14 23:09:58,765 INFO MainThread:817719 [wandb_init.py:init():988] updated telemetry
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2026-07-14 23:09:58,798 INFO MainThread:817719 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
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2026-07-14 23:09:59,591 INFO MainThread:817719 [wandb_init.py:init():1051] run resumed
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2026-07-14 23:09:59,595 INFO MainThread:817719 [wandb_init.py:init():1056] starting run threads in backend
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2026-07-14 23:09:59,894 INFO MainThread:817719 [wandb_run.py:_console_start():2554] atexit reg
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2026-07-14 23:09:59,895 INFO MainThread:817719 [wandb_run.py:_redirect():2472] Wrapping output streams.
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2026-07-14 23:09:59,895 INFO MainThread:817719 [wandb_run.py:_redirect():2495] Redirects installed.
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2026-07-14 23:09:59,901 INFO MainThread:817719 [wandb_init.py:init():1094] run started, returning control to user process
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2026-07-15 04:22:11,235 INFO MainThread:817719 [wandb_run.py:_finish():2321] finishing run homarone-unimore/MiMoSe/tppcsufz
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2026-07-15 04:22:11,237 INFO MainThread:817719 [wandb_run.py:_atexit_cleanup():2520] got exitcode: 0
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2026-07-15 04:22:11,243 INFO MainThread:817719 [wandb_run.py:_restore():2502] restore
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2026-07-15 04:22:11,243 INFO MainThread:817719 [wandb_run.py:_restore():2508] restore done
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a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/files/output.log
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[2K[1;36mTrain 15/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.8233 avg 3.1870[0m[0m [35mloss 3.0354 avg 3.2028[0m
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[2K[1;36mTrain 16/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.0239 avg 3.2736[0m[0m [35mloss 3.6192 avg 3.2845[0m
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[2K[1;36mTrain 17/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.5758 avg 3.3016[0m[0m [35mloss 2.9580 avg 3.2897[0m
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[2K[1;36mTrain 18/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.1996 avg 3.1550[0m[0m [35mloss 3.1544 avg 3.1531[0m
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[2K[1;36mTrain 19/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7482 avg 3.1580[0m[0m [35mloss 3.1758 avg 3.1758[0m
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[2K[1;36mTrain 20/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7337 avg 3.2915[0m[0m [35mloss 3.2963 avg 3.3158[0m
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[2K[1;36mVal 20/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m29/29[0m [33m0:03:04[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 0.7662 avg 0.6242[0m avg 0.6191[0m avg 0.6193[0m017[0m
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[2K[1;36mTrain 21/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.9534 avg 3.1647[0m[0m [35mloss 2.9792 avg 3.1739[0m
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[2K[1;36mTrain 22/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.2432 avg 3.2561[0m[0m [35mloss 3.1764 avg 3.2566[0m
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[2K[1;36mTrain 23/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.1999 avg 3.0599[0m[0m [35mloss 2.9559 avg 3.0538[0m
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[2K[1;36mTrain 24/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.1135 avg 3.2100[0m[0m [35mloss 3.0166 avg 3.2142[0m
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[2K[1;36mTrain 25/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.1966 avg 3.2131[0m[0m [35mloss 3.2031 avg 3.2138[0m
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[2K[1;36mTrain 26/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.0228 avg 3.2243[0m[0m [35mloss 2.8396 avg 3.2330[0m
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[2K[1;36mTrain 27/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.3757 avg 3.1432[0m[0m [35mloss 2.8358 avg 3.1331[0m
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[2K[1;36mTrain 28/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7291 avg 3.1338[0m[0m [35mloss 3.2130 avg 3.1514[0m
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[2K[1;36mTrain 29/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.5626 avg 3.1134[0m[0m [35mloss 3.0878 avg 3.1374[0m
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[2K[1;36mTrain 30/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.0817 avg 2.9954[0m[0m [35mloss 3.1594 avg 2.9916[0m
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[2K[1;36mVal 30/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m29/29[0m [33m0:02:49[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 0.7444 avg 0.6034[0m avg 0.5984[0m avg 0.6003[0m919[0m
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[2K[1;36mTrain 31/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.6395 avg 3.0686[0m[0m [35mloss 2.7082 avg 3.0872[0m
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[2K[1;36mTrain 32/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.6612 avg 3.0897[0m[0m [35mloss 2.8868 avg 3.1083[0m
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[2K[1;36mTrain 33/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.8955 avg 3.0161[0m[0m [35mloss 2.7174 avg 3.0213[0m
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[2K[1;36mTrain 34/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.6719 avg 2.9466[0m[0m [35mloss 2.9111 avg 2.9586[0m
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[2K[1;36mTrain 35/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.1069 avg 3.0329[0m[0m [35mloss 2.8412 avg 3.0297[0m
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[2K[1;36mTrain 36/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.5347 avg 2.9321[0m[0m [35mloss 3.2082 avg 2.9059[0m
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[2K[1;36mTrain 37/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.8443 avg 3.0681[0m[0m [35mloss 3.1370 avg 3.0778[0m
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[2K[1;36mTrain 38/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.3276 avg 2.9961[0m[0m [35mloss 2.5786 avg 3.0252[0m
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[2K[1;36mTrain 39/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.9367 avg 2.9775[0m[0m [35mloss 2.8443 avg 2.9792[0m
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[2K[1;36mTrain 40/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.8530 avg 2.9287[0m[0m [35mloss 2.8909 avg 2.9320[0m
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| 44 |
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[2K[1;36mVal 40/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m29/29[0m [33m0:03:00[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 0.7320 avg 0.5828[0m avg 0.5775[0m avg 0.5793[0m703[0m
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| 59 |
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[2K[1;36mTrain 54/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.8196 avg 2.9254[0m[0m [35mloss 2.7044 avg 2.9300[0m
|
| 60 |
+
[2K[1;36mTrain 55/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.6684 avg 2.7970[0m[0m [35mloss 2.5662 avg 2.8026[0m
|
| 61 |
+
[2K[1;36mTrain 56/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.0679 avg 2.8091[0m[0m [35mloss 3.0990 avg 2.7978[0m
|
| 62 |
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[2K[1;36mTrain 57/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7784 avg 2.7638[0m[0m [35mloss 3.3017 avg 2.7632[0m
|
| 63 |
+
[2K[1;36mTrain 58/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.0364 avg 2.8834[0m[0m [35mloss 2.7594 avg 2.9202[0m
|
| 64 |
+
[2K[1;36mTrain 59/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.5800 avg 2.7951[0m[0m [35mloss 2.3212 avg 2.8045[0m
|
| 65 |
+
[2K[1;36mTrain 60/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.7541 avg 2.7996[0m[0m [35mloss 2.7450 avg 2.7581[0m
|
| 66 |
+
[2K[1;36mVal 60/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m29/29[0m [33m0:03:07[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 0.6280 avg 0.5702[0m avg 0.5682[0m avg 0.5688[0m632[0m
|
| 67 |
+
[2K[1;36mTrain 61/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:04[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.4702 avg 2.8466[0m[0m [35mloss 2.7545 avg 2.8630[0m
|
| 68 |
+
[2K[1;36mTrain 62/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.5006 avg 2.7681[0m[0m [35mloss 3.6500 avg 2.7797[0m
|
| 69 |
+
[2K[1;36mTrain 63/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.3275 avg 2.8228[0m[0m [35mloss 2.6563 avg 2.8009[0m
|
| 70 |
+
[2K[1;36mTrain 64/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.9371 avg 2.8040[0m[0m [35mloss 2.5198 avg 2.7983[0m
|
| 71 |
+
[2K[1;36mTrain 65/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━��[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7140 avg 2.8369[0m[0m [35mloss 2.7869 avg 2.8423[0m
|
| 72 |
+
[2K[1;36mTrain 66/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7036 avg 2.8090[0m[0m [35mloss 3.4150 avg 2.8136[0m
|
| 73 |
+
[2K[1;36mTrain 67/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.9950 avg 2.7595[0m[0m [35mloss 2.5465 avg 2.7493[0m
|
| 74 |
+
[2K[1;36mTrain 68/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.3698 avg 2.7163[0m[0m [35mloss 2.5915 avg 2.7313[0m
|
| 75 |
+
[2K[1;36mTrain 69/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.2292 avg 2.8269[0m[0m [35mloss 2.6739 avg 2.8529[0m
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| 76 |
+
[2K[1;36mTrain 70/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.5359 avg 2.6988[0m[0m [35mloss 3.0048 avg 2.7059[0m
|
| 77 |
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[2K[1;36mVal 70/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m29/29[0m [33m0:02:54[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 0.6422 avg 0.5661[0m avg 0.5634[0m avg 0.5659[0m517[0m
|
| 78 |
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[2K[1;36mTrain 71/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:04[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7467 avg 2.6632[0m[0m [35mloss 3.0724 avg 2.6596[0m
|
| 79 |
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[2K[1;36mTrain 72/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:04[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.2336 avg 2.7426[0m[0m [35mloss 2.5371 avg 2.7212[0m
|
| 80 |
+
[2K[1;36mTrain 73/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7114 avg 2.6645[0m[0m [35mloss 2.5786 avg 2.6625[0m
|
| 81 |
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[2K[1;36mTrain 74/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.5324 avg 2.6915[0m[0m [35mloss 2.7368 avg 2.6984[0m
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| 82 |
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[2K[1;36mTrain 75/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.5848 avg 2.6225[0m[0m [35mloss 2.2939 avg 2.6242[0m
|
| 83 |
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[2K[1;36mTrain 76/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.3227 avg 2.6885[0m[0m [35mloss 2.6420 avg 2.7044[0m
|
| 84 |
+
[2K[1;36mTrain 77/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.6415 avg 2.6149[0m[0m [35mloss 2.4605 avg 2.6137[0m
|
| 85 |
+
[2K[1;36mTrain 78/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.6913 avg 2.7818[0m[0m [35mloss 2.8410 avg 2.7858[0m
|
| 86 |
+
[2K[1;36mTrain 79/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:02[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 3.4162 avg 2.6190[0m[0m [35mloss 2.6502 avg 2.5844[0m
|
| 87 |
+
[2K[1;36mTrain 80/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.4964 avg 2.5778[0m[0m [35mloss 2.8634 avg 2.5813[0m
|
| 88 |
+
[2K[1;36mVal 80/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m29/29[0m [33m0:03:01[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 0.6003 avg 0.5473[0m avg 0.5454[0m avg 0.5481[0m392[0m
|
| 89 |
+
[2K[1;36mTrain 81/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:11[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7336 avg 2.6978[0m[0m [35mloss 2.3675 avg 2.6963[0m
|
| 90 |
+
[2K[1;36mTrain 82/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.7505 avg 2.6801[0m[0m [35mloss 2.6482 avg 2.6771[0m
|
| 91 |
+
[2K[1;36mTrain 83/300[0m [38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━[0m [35m100%[0m [32m24/24[0m [33m0:01:03[0m [36m0:00:00[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.4894 avg 2.6540[0m[0m [35mloss 2.3093 avg 2.6612[0m
|
| 92 |
+
[2K[1;36mTrain 84/300[0m [38;2;249;38;114m━━━━[0m[38;5;237m╺[0m[38;5;237m━━━━━━━━━━━━━━━━━━━━[0m [35m 17%[0m [32m 4/24[0m [33m0:00:14[0m [36m0:00:51[0m [33mVRAM 30.3GiB/44.4GiB[0m [35mloss 2.2662 avg 2.7461[0m
|
a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
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| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
nvidia-nccl-cu12==2.27.5
|
| 6 |
+
regex==2026.6.28
|
| 7 |
+
ml_dtypes==0.5.4
|
| 8 |
+
simpleitk==2.5.4
|
| 9 |
+
kiwisolver==1.5.0
|
| 10 |
+
idna==3.13
|
| 11 |
+
annotated-types==0.7.0
|
| 12 |
+
nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
+
cycler==0.12.1
|
| 14 |
+
ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
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Jinja2==3.1.6
|
| 29 |
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dynamic_network_architectures==0.4.3
|
| 30 |
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contourpy==1.3.3
|
| 31 |
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pydantic_core==2.46.3
|
| 32 |
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nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
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GitPython==3.1.49
|
| 35 |
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gitdb==4.0.12
|
| 36 |
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nvidia-cusparselt-cu12==0.7.1
|
| 37 |
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nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
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z3-solver==4.15.4.0
|
| 39 |
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nvidia-nvtx-cu12==12.8.90
|
| 40 |
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nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
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nvidia-cufft-cu12==11.3.3.83
|
| 42 |
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httpcore==1.0.9
|
| 43 |
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cuda-python==13.3.1
|
| 44 |
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MiMoSe==0.0.2
|
| 45 |
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nvidia-cublas-cu12==12.8.4.1
|
| 46 |
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nodeocc==1.0.26
|
| 47 |
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MarkupSafe==3.0.3
|
| 48 |
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timm==1.0.22
|
| 49 |
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charset-normalizer==3.4.7
|
| 50 |
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thop==0.1.1-2209072238
|
| 51 |
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shellingham==1.5.4
|
| 52 |
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threadpoolctl==3.6.0
|
| 53 |
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anyio==4.13.0
|
| 54 |
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nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
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smmap==5.0.3
|
| 56 |
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nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
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nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
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typer==0.25.0
|
| 59 |
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typing_extensions==4.15.0
|
| 60 |
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causal-conv1d==1.6.2.post1
|
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requests==2.33.1
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mamba-ssm==2.3.2.post1
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| 63 |
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psutil==7.2.2
|
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filelock==3.29.0
|
| 65 |
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httpx==0.28.1
|
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nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
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markdown-it-py==4.0.0
|
| 68 |
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urllib3==2.6.3
|
| 69 |
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h11==0.16.0
|
| 70 |
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nvidia-nvshmem-cu12==3.3.20
|
| 71 |
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pyparsing==3.3.2
|
| 72 |
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annotated-doc==0.0.4
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hf-xet==1.4.3
|
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cuda-pathfinder==1.5.6
|
| 75 |
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platformdirs==4.9.6
|
| 76 |
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MedPy==0.5.2
|
| 77 |
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einops==0.8.2
|
| 78 |
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wheel==0.47.0
|
| 79 |
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tqdm==4.67.3
|
| 80 |
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h5py==3.16.0
|
| 81 |
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protobuf==6.33.6
|
| 82 |
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nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
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fsspec==2026.4.0
|
| 84 |
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ttkbootstrap==1.20.2
|
| 85 |
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nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
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mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
+
pillow==12.2.0
|
| 89 |
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cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
+
prompt_toolkit==3.0.52
|
| 92 |
+
joblib==1.5.3
|
| 93 |
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pydantic==2.13.3
|
| 94 |
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nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
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openpyxl==3.1.5
|
| 96 |
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huggingface_hub==1.13.0
|
| 97 |
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torchvision==0.24.1
|
| 98 |
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sentry-sdk==2.58.0
|
| 99 |
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cuda-core==1.0.1
|
| 100 |
+
apache-tvm-ffi==0.1.9
|
| 101 |
+
wandb==0.26.1
|
| 102 |
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fonttools==4.62.1
|
| 103 |
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Pygments==2.20.0
|
| 104 |
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triton==3.5.1
|
| 105 |
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setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
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matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
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scikit-learn==1.8.0
|
| 110 |
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scipy==1.17.1
|
| 111 |
+
pandas==3.0.2
|
| 112 |
+
sympy==1.14.0
|
| 113 |
+
transformers==5.12.1
|
| 114 |
+
tilelang==0.1.8
|
| 115 |
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torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
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iniconfig==2.3.0
|
| 118 |
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pluggy==1.6.0
|
| 119 |
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ruff==0.15.12
|
| 120 |
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librt==0.9.0
|
| 121 |
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pathspec==1.1.1
|
| 122 |
+
pytest==9.0.3
|
| 123 |
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mypy==1.20.2
|
| 124 |
+
MiMoSe==0.0.2
|
a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/files/wandb-metadata.json
ADDED
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
| 3 |
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"python": "CPython 3.12.13",
|
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"startedAt": "2026-07-12T12:12:16.330839Z",
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| 5 |
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"args": [
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| 6 |
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"train",
|
| 7 |
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| 8 |
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|
| 9 |
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"--fold",
|
| 10 |
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"1",
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| 11 |
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"--run-suffix",
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| 12 |
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"fold1",
|
| 13 |
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| 14 |
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| 15 |
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|
| 16 |
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| 19 |
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| 21 |
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"job_name": "bash",
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| 98 |
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a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/logs/debug-core.log
ADDED
|
@@ -0,0 +1,7 @@
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|
|
|
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{"time":"2026-07-12T12:12:16.92646548Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp9qb6cxdy/port-3088253.txt","pid":3088253,"detached":false,"idle-timeout":600000000000,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
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{"time":"2026-07-12T12:12:16.927264925Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":3088253}
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{"time":"2026-07-12T12:12:16.927229383Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-3088253-3088313-2050154970/socket","Net":"unix"}}
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{"time":"2026-07-12T12:12:17.103691402Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
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{"time":"2026-07-12T12:12:17.123364371Z","level":"INFO","msg":"handleInformInit: received","streamId":"tppcsufz","id":"1(@)"}
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{"time":"2026-07-12T12:12:17.442695241Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"tppcsufz","id":"1(@)"}
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{"time":"2026-07-12T12:12:23.071803283Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"b75s161kc7h3"}
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a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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|
|
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|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
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|
|
| 1 |
+
2026-07-12 12:12:16,592 INFO MainThread:3088253 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-07-12 12:12:16,593 INFO MainThread:3088253 [wandb_setup.py:_flush():81] Configure stats pid to 3088253
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| 3 |
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2026-07-12 12:12:16,593 INFO MainThread:3088253 [wandb_setup.py:_flush():81] Loading settings from environment variables
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2026-07-12 12:12:16,593 INFO MainThread:3088253 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /work/phd_mimose/runs/a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/logs/debug.log
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| 5 |
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2026-07-12 12:12:16,594 INFO MainThread:3088253 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/a2fseg18_fold1/wandb/run-20260712_121216-tppcsufz/logs/debug-internal.log
|
| 6 |
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2026-07-12 12:12:16,594 INFO MainThread:3088253 [wandb_init.py:init():850] calling init triggers
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| 7 |
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2026-07-12 12:12:16,594 INFO MainThread:3088253 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
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| 8 |
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config: {'input_dir': '/work/phd_mimose/a2fseg-preprocessed', 'output_dir': '/work/phd_mimose/runs/a2fseg18_fold1', 'num_epochs': 300, 'validation_every': 10, 'batch_size': 8, 'num_workers': 8, 'fp16': True, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'patch_size': 80, 'debug': False, 'transform_kind': 'imfuse', 'train_masking_mode': 'random', 'val_masking_mode': 'validation', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 1}, 'model_class': 'A2FSeg', 'model_kwargs': {'num_cls': 4}, 'optimizer_class': 'SGD', 'optimizer': {'lr': 0.01, 'weight_decay': 3e-05, 'betas': None, 'momentum': 0.99, 'eps': None}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 300, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS18: 'brats18'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 0, 'patch_size': 80, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', '_wandb': {}}
|
| 9 |
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2026-07-12 12:12:16,594 INFO MainThread:3088253 [wandb_init.py:init():898] starting backend
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2026-07-12 12:12:17,104 INFO MainThread:3088253 [wandb_init.py:init():913] sending inform_init request
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2026-07-12 12:12:17,447 INFO MainThread:3088253 [wandb_init.py:init():988] updated telemetry
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2026-07-12 12:12:17,793 INFO MainThread:3088253 [wandb_init.py:init():1056] starting run threads in backend
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| 15 |
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2026-07-12 12:12:18,069 INFO MainThread:3088253 [wandb_run.py:_console_start():2554] atexit reg
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2026-07-12 12:12:18,069 INFO MainThread:3088253 [wandb_run.py:_redirect():2472] Wrapping output streams.
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| 18 |
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2026-07-12 12:12:18,069 INFO MainThread:3088253 [wandb_run.py:_redirect():2495] Redirects installed.
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2026-07-12 12:12:18,073 INFO MainThread:3088253 [wandb_init.py:init():1094] run started, returning control to user process
|
a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/files/config.yaml
ADDED
|
@@ -0,0 +1,191 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
|
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|
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|
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|
|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.26.1
|
| 4 |
+
e:
|
| 5 |
+
bo5ogsy715klswzuzqdemlikg7906fqo:
|
| 6 |
+
args:
|
| 7 |
+
- train
|
| 8 |
+
- --config
|
| 9 |
+
- a2fseg_18.yaml
|
| 10 |
+
- --fold
|
| 11 |
+
- "1"
|
| 12 |
+
- --run-suffix
|
| 13 |
+
- fold1
|
| 14 |
+
- --seed
|
| 15 |
+
- "0"
|
| 16 |
+
- --try-resume
|
| 17 |
+
codePath: .venv/bin/mimose
|
| 18 |
+
codePathLocal: .venv/bin/mimose
|
| 19 |
+
cpu_count: 24
|
| 20 |
+
cpu_count_logical: 48
|
| 21 |
+
cudaVersion: "13.2"
|
| 22 |
+
disk:
|
| 23 |
+
/:
|
| 24 |
+
total: "214643507200"
|
| 25 |
+
used: "37793415168"
|
| 26 |
+
executable: /homes/ocarpentiero/MiMoSe/.venv/bin/python3
|
| 27 |
+
git:
|
| 28 |
+
commit: dbe44d0ffb90725da1a815f387c2bc6d29c1acea
|
| 29 |
+
remote: https://github.com/AImageLab-zip/IM-Fuse.git
|
| 30 |
+
gpu: NVIDIA L40S
|
| 31 |
+
gpu_count: 1
|
| 32 |
+
gpu_nvidia:
|
| 33 |
+
- architecture: Ada
|
| 34 |
+
cudaCores: 18176
|
| 35 |
+
memoryTotal: "48305799168"
|
| 36 |
+
name: NVIDIA L40S
|
| 37 |
+
uuid: GPU-31e25d25-ac61-f404-7ecf-ba2d88fe150a
|
| 38 |
+
host: franco
|
| 39 |
+
memory:
|
| 40 |
+
total: "540712640512"
|
| 41 |
+
os: Linux-5.15.0-181-generic-x86_64-with-glibc2.35
|
| 42 |
+
program: /homes/ocarpentiero/MiMoSe/.venv/bin/mimose
|
| 43 |
+
python: CPython 3.12.13
|
| 44 |
+
root: /work/phd_mimose/runs/a2fseg18_fold1
|
| 45 |
+
slurm:
|
| 46 |
+
cluster_name: aimagelab
|
| 47 |
+
conf: /etc/slurm/slurm.conf
|
| 48 |
+
cpus_on_node: "8"
|
| 49 |
+
cpus_per_task: "8"
|
| 50 |
+
gpus_on_node: "1"
|
| 51 |
+
gtids: "0"
|
| 52 |
+
job_account: phd_mimose
|
| 53 |
+
job_cpus_per_node: "8"
|
| 54 |
+
job_dependency: singleton
|
| 55 |
+
job_end_time: "1784149775"
|
| 56 |
+
job_gid: "502"
|
| 57 |
+
job_gpus: "2"
|
| 58 |
+
job_id: "64462"
|
| 59 |
+
job_name: A2FSEG18_FOLD_1
|
| 60 |
+
job_nodelist: franco
|
| 61 |
+
job_num_nodes: "1"
|
| 62 |
+
job_partition: boost_usr_prod
|
| 63 |
+
job_qos: normal
|
| 64 |
+
job_start_time: "1784063375"
|
| 65 |
+
job_uid: "92375"
|
| 66 |
+
job_user: ocarpentiero
|
| 67 |
+
jobid: "64462"
|
| 68 |
+
localid: "0"
|
| 69 |
+
mem_per_node: "102400"
|
| 70 |
+
nnodes: "1"
|
| 71 |
+
nodeid: "0"
|
| 72 |
+
nodelist: franco
|
| 73 |
+
nprocs: "1"
|
| 74 |
+
ntasks: "1"
|
| 75 |
+
oom_kill_step: "0"
|
| 76 |
+
prio_process: "0"
|
| 77 |
+
procid: "0"
|
| 78 |
+
submit_dir: /homes/ocarpentiero/MiMoSe
|
| 79 |
+
submit_host: ailb-login-02
|
| 80 |
+
task_pid: "817716"
|
| 81 |
+
tasks_per_node: "1"
|
| 82 |
+
topology_addr: franco
|
| 83 |
+
topology_addr_pattern: node
|
| 84 |
+
tres_per_task: cpu=8
|
| 85 |
+
startedAt: "2026-07-14T21:09:56.845593Z"
|
| 86 |
+
writerId: bo5ogsy715klswzuzqdemlikg7906fqo
|
| 87 |
+
m: []
|
| 88 |
+
python_version: 3.12.13
|
| 89 |
+
t:
|
| 90 |
+
"1":
|
| 91 |
+
- 1
|
| 92 |
+
- 5
|
| 93 |
+
- 11
|
| 94 |
+
- 49
|
| 95 |
+
- 53
|
| 96 |
+
"2":
|
| 97 |
+
- 1
|
| 98 |
+
- 5
|
| 99 |
+
- 11
|
| 100 |
+
- 49
|
| 101 |
+
- 53
|
| 102 |
+
"3":
|
| 103 |
+
- 2
|
| 104 |
+
- 5
|
| 105 |
+
- 13
|
| 106 |
+
- 14
|
| 107 |
+
- 16
|
| 108 |
+
- 62
|
| 109 |
+
"4": 3.12.13
|
| 110 |
+
"5": 0.26.1
|
| 111 |
+
"6": 5.12.1
|
| 112 |
+
"12": 0.26.1
|
| 113 |
+
"13": linux-x86_64
|
| 114 |
+
batch_size:
|
| 115 |
+
value: 8
|
| 116 |
+
compile:
|
| 117 |
+
value: false
|
| 118 |
+
custom_trainer_kwargs:
|
| 119 |
+
value:
|
| 120 |
+
debug: false
|
| 121 |
+
fold: 1
|
| 122 |
+
iter_per_epoch: null
|
| 123 |
+
patch_size: 80
|
| 124 |
+
split_file: /homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json
|
| 125 |
+
train_masking_mode: random
|
| 126 |
+
transform_kind: imfuse
|
| 127 |
+
val_masking_mode: validation
|
| 128 |
+
dataset_type:
|
| 129 |
+
value: BRATS18
|
| 130 |
+
debug:
|
| 131 |
+
value: false
|
| 132 |
+
fp16:
|
| 133 |
+
value: true
|
| 134 |
+
hf_repo:
|
| 135 |
+
value: AImageLab-Zip/MiMoSe
|
| 136 |
+
input_dir:
|
| 137 |
+
value: /work/phd_mimose/a2fseg-preprocessed
|
| 138 |
+
iter_per_epoch:
|
| 139 |
+
value: null
|
| 140 |
+
loss_class:
|
| 141 |
+
value: IMFuseLoss
|
| 142 |
+
loss_kwargs:
|
| 143 |
+
value:
|
| 144 |
+
eps: 0.001
|
| 145 |
+
fuse_weight: 1
|
| 146 |
+
log_clamp_min: 0.005
|
| 147 |
+
num_classes: null
|
| 148 |
+
prm_weight: 1
|
| 149 |
+
sep_weight: 1
|
| 150 |
+
model_class:
|
| 151 |
+
value: A2FSeg
|
| 152 |
+
model_kwargs:
|
| 153 |
+
value:
|
| 154 |
+
num_cls: 4
|
| 155 |
+
num_epochs:
|
| 156 |
+
value: 300
|
| 157 |
+
num_workers:
|
| 158 |
+
value: 8
|
| 159 |
+
optimizer:
|
| 160 |
+
value:
|
| 161 |
+
betas: null
|
| 162 |
+
eps: null
|
| 163 |
+
lr: 0.01
|
| 164 |
+
momentum: 0.99
|
| 165 |
+
weight_decay: 3e-05
|
| 166 |
+
optimizer_class:
|
| 167 |
+
value: SGD
|
| 168 |
+
output_dir:
|
| 169 |
+
value: /work/phd_mimose/runs/a2fseg18_fold1
|
| 170 |
+
patch_size:
|
| 171 |
+
value: 80
|
| 172 |
+
push_to_hf:
|
| 173 |
+
value: true
|
| 174 |
+
region_fusion_start_epoch:
|
| 175 |
+
value: 0
|
| 176 |
+
scheduler_class:
|
| 177 |
+
value: PolynomialLR
|
| 178 |
+
scheduler_kwargs:
|
| 179 |
+
value:
|
| 180 |
+
power: 0.9
|
| 181 |
+
total_iters: 300
|
| 182 |
+
seed:
|
| 183 |
+
value: 0
|
| 184 |
+
split_file:
|
| 185 |
+
value: /homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json
|
| 186 |
+
train_masking_mode:
|
| 187 |
+
value: RANDOM
|
| 188 |
+
val_masking_mode:
|
| 189 |
+
value: VALIDATION
|
| 190 |
+
validation_every:
|
| 191 |
+
value: 10
|
a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/files/output.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Processing Files (1 / 1) : 100%|██████████| 28.6MB / 28.6MB, 7.93MB/s
|
| 2 |
+
New Data Upload : 100%|██████████| 28.6MB / 28.6MB, 7.93MB/s
|
| 3 |
+
..._weights_only.safetensors: 100%|██████████| 28.6MB / 28.6MB
|
a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
nvidia-nccl-cu12==2.27.5
|
| 6 |
+
regex==2026.6.28
|
| 7 |
+
ml_dtypes==0.5.4
|
| 8 |
+
simpleitk==2.5.4
|
| 9 |
+
kiwisolver==1.5.0
|
| 10 |
+
idna==3.13
|
| 11 |
+
annotated-types==0.7.0
|
| 12 |
+
nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
+
cycler==0.12.1
|
| 14 |
+
ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
+
Jinja2==3.1.6
|
| 29 |
+
dynamic_network_architectures==0.4.3
|
| 30 |
+
contourpy==1.3.3
|
| 31 |
+
pydantic_core==2.46.3
|
| 32 |
+
nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
+
GitPython==3.1.49
|
| 35 |
+
gitdb==4.0.12
|
| 36 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 37 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
+
z3-solver==4.15.4.0
|
| 39 |
+
nvidia-nvtx-cu12==12.8.90
|
| 40 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 42 |
+
httpcore==1.0.9
|
| 43 |
+
cuda-python==13.3.1
|
| 44 |
+
MiMoSe==0.0.2
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 46 |
+
nodeocc==1.0.26
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
timm==1.0.22
|
| 49 |
+
charset-normalizer==3.4.7
|
| 50 |
+
thop==0.1.1-2209072238
|
| 51 |
+
shellingham==1.5.4
|
| 52 |
+
threadpoolctl==3.6.0
|
| 53 |
+
anyio==4.13.0
|
| 54 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
+
smmap==5.0.3
|
| 56 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
+
nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
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typer==0.25.0
|
| 59 |
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typing_extensions==4.15.0
|
| 60 |
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causal-conv1d==1.6.2.post1
|
| 61 |
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requests==2.33.1
|
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mamba-ssm==2.3.2.post1
|
| 63 |
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psutil==7.2.2
|
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httpx==0.28.1
|
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nvidia-cusolver-cu12==11.7.3.90
|
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markdown-it-py==4.0.0
|
| 68 |
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urllib3==2.6.3
|
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h11==0.16.0
|
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nvidia-nvshmem-cu12==3.3.20
|
| 71 |
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pyparsing==3.3.2
|
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annotated-doc==0.0.4
|
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hf-xet==1.4.3
|
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cuda-pathfinder==1.5.6
|
| 75 |
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platformdirs==4.9.6
|
| 76 |
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MedPy==0.5.2
|
| 77 |
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einops==0.8.2
|
| 78 |
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wheel==0.47.0
|
| 79 |
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tqdm==4.67.3
|
| 80 |
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h5py==3.16.0
|
| 81 |
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protobuf==6.33.6
|
| 82 |
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nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
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fsspec==2026.4.0
|
| 84 |
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ttkbootstrap==1.20.2
|
| 85 |
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nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
+
mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
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pillow==12.2.0
|
| 89 |
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cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
+
prompt_toolkit==3.0.52
|
| 92 |
+
joblib==1.5.3
|
| 93 |
+
pydantic==2.13.3
|
| 94 |
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nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
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openpyxl==3.1.5
|
| 96 |
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huggingface_hub==1.13.0
|
| 97 |
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torchvision==0.24.1
|
| 98 |
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sentry-sdk==2.58.0
|
| 99 |
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cuda-core==1.0.1
|
| 100 |
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apache-tvm-ffi==0.1.9
|
| 101 |
+
wandb==0.26.1
|
| 102 |
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fonttools==4.62.1
|
| 103 |
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Pygments==2.20.0
|
| 104 |
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triton==3.5.1
|
| 105 |
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setuptools==82.0.1
|
| 106 |
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networkx==3.6.1
|
| 107 |
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matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
+
scikit-learn==1.8.0
|
| 110 |
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scipy==1.17.1
|
| 111 |
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pandas==3.0.2
|
| 112 |
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sympy==1.14.0
|
| 113 |
+
transformers==5.12.1
|
| 114 |
+
tilelang==0.1.8
|
| 115 |
+
torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
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iniconfig==2.3.0
|
| 118 |
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pluggy==1.6.0
|
| 119 |
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ruff==0.15.12
|
| 120 |
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librt==0.9.0
|
| 121 |
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pathspec==1.1.1
|
| 122 |
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pytest==9.0.3
|
| 123 |
+
mypy==1.20.2
|
| 124 |
+
MiMoSe==0.0.2
|
a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/files/wandb-metadata.json
ADDED
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
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|
|
|
|
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|
|
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|
|
|
| 1 |
+
{
|
| 2 |
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"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
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|
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"train",
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|
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|
| 9 |
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"--fold",
|
| 10 |
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"1",
|
| 11 |
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"--run-suffix",
|
| 12 |
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"fold1",
|
| 13 |
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"--seed",
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| 14 |
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| 15 |
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"--try-resume"
|
| 16 |
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],
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| 17 |
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| 20 |
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| 21 |
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| 23 |
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},
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| 24 |
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| 25 |
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"job_partition": "boost_usr_prod",
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"job_qos": "normal",
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| 69 |
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"job_start_time": "1784063375",
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| 70 |
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| 78 |
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},
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| 91 |
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| 92 |
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a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/files/wandb-summary.json
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a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/logs/debug-core.log
ADDED
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a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/logs/debug-internal.log
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a2fseg18_fold1/wandb/run-20260714_230956-tppcsufz/logs/debug.log
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|
| 1 |
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2026-07-14 23:09:57,911 INFO MainThread:817719 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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| 5 |
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| 6 |
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2026-07-14 23:09:57,913 INFO MainThread:817719 [wandb_init.py:init():850] calling init triggers
|
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2026-07-14 23:09:57,913 INFO MainThread:817719 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
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| 16 |
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2026-07-14 23:09:59,894 INFO MainThread:817719 [wandb_run.py:_console_start():2554] atexit reg
|
| 17 |
+
2026-07-14 23:09:59,894 INFO MainThread:817719 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 18 |
+
2026-07-14 23:09:59,895 INFO MainThread:817719 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 19 |
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2026-07-14 23:09:59,895 INFO MainThread:817719 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 20 |
+
2026-07-14 23:09:59,901 INFO MainThread:817719 [wandb_init.py:init():1094] run started, returning control to user process
|
| 21 |
+
2026-07-15 04:22:11,235 INFO MainThread:817719 [wandb_run.py:_finish():2321] finishing run homarone-unimore/MiMoSe/tppcsufz
|
| 22 |
+
2026-07-15 04:22:11,237 INFO MainThread:817719 [wandb_run.py:_atexit_cleanup():2520] got exitcode: 0
|
| 23 |
+
2026-07-15 04:22:11,243 INFO MainThread:817719 [wandb_run.py:_restore():2502] restore
|
| 24 |
+
2026-07-15 04:22:11,243 INFO MainThread:817719 [wandb_run.py:_restore():2508] restore done
|
a2fseg23_fold1/huggingface/a2fseg23_fold1/config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"mimose_model_name": "A2FSeg",
|
| 3 |
+
"model_class": "A2FSeg",
|
| 4 |
+
"model_kwargs": {
|
| 5 |
+
"num_cls": 4
|
| 6 |
+
}
|
| 7 |
+
}
|
a2fseg23_fold1/wandb/debug-internal.log
ADDED
|
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|
|
|
a2fseg23_fold1/wandb/debug.log
ADDED
|
@@ -0,0 +1,24 @@
|
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|
| 1 |
+
2026-07-18 19:59:13,713 INFO MainThread:2283057 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-07-18 19:59:13,713 INFO MainThread:2283057 [wandb_setup.py:_flush():81] Configure stats pid to 2283057
|
| 3 |
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2026-07-18 19:59:13,713 INFO MainThread:2283057 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
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2026-07-18 19:59:13,715 INFO MainThread:2283057 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /work/phd_mimose/runs/a2fseg23_fold1/wandb/run-20260718_195913-9x5bc56v/logs/debug.log
|
| 5 |
+
2026-07-18 19:59:13,717 INFO MainThread:2283057 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/a2fseg23_fold1/wandb/run-20260718_195913-9x5bc56v/logs/debug-internal.log
|
| 6 |
+
2026-07-18 19:59:13,717 INFO MainThread:2283057 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-18 19:59:13,717 INFO MainThread:2283057 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'input_dir': '/work/phd_mimose/a2fseg-preprocessed', 'output_dir': '/work/phd_mimose/runs/a2fseg23_fold1', 'num_epochs': 300, 'validation_every': 10, 'batch_size': 8, 'num_workers': 8, 'fp16': True, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'patch_size': 80, 'debug': False, 'transform_kind': 'imfuse', 'train_masking_mode': 'random', 'val_masking_mode': 'validation', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 1}, 'model_class': 'A2FSeg', 'model_kwargs': {'num_cls': 4}, 'optimizer_class': 'SGD', 'optimizer': {'lr': 0.01, 'weight_decay': 3e-05, 'betas': None, 'momentum': 0.99, 'eps': None}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 300, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS23: 'brats23'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 0, 'patch_size': 80, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', '_wandb': {}}
|
| 9 |
+
2026-07-18 19:59:13,717 INFO MainThread:2283057 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-07-18 19:59:14,370 INFO MainThread:2283057 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-18 19:59:15,742 INFO MainThread:2283057 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-18 19:59:15,747 INFO MainThread:2283057 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-18 19:59:15,841 INFO MainThread:2283057 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-18 19:59:16,294 INFO MainThread:2283057 [wandb_init.py:init():1051] run resumed
|
| 15 |
+
2026-07-18 19:59:16,298 INFO MainThread:2283057 [wandb_init.py:init():1056] starting run threads in backend
|
| 16 |
+
2026-07-18 19:59:16,892 INFO MainThread:2283057 [wandb_run.py:_console_start():2554] atexit reg
|
| 17 |
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2026-07-18 19:59:16,892 INFO MainThread:2283057 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 18 |
+
2026-07-18 19:59:16,893 INFO MainThread:2283057 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 19 |
+
2026-07-18 19:59:16,893 INFO MainThread:2283057 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 20 |
+
2026-07-18 19:59:16,906 INFO MainThread:2283057 [wandb_init.py:init():1094] run started, returning control to user process
|
| 21 |
+
2026-07-19 02:40:33,393 INFO MainThread:2283057 [wandb_run.py:_finish():2321] finishing run homarone-unimore/MiMoSe/9x5bc56v
|
| 22 |
+
2026-07-19 02:40:33,395 INFO MainThread:2283057 [wandb_run.py:_atexit_cleanup():2520] got exitcode: 0
|
| 23 |
+
2026-07-19 02:40:33,400 INFO MainThread:2283057 [wandb_run.py:_restore():2502] restore
|
| 24 |
+
2026-07-19 02:40:33,400 INFO MainThread:2283057 [wandb_run.py:_restore():2508] restore done
|
a2fseg23_fold1/wandb/run-20260717_095124-9x5bc56v/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
nvidia-nccl-cu12==2.27.5
|
| 6 |
+
regex==2026.6.28
|
| 7 |
+
ml_dtypes==0.5.4
|
| 8 |
+
simpleitk==2.5.4
|
| 9 |
+
kiwisolver==1.5.0
|
| 10 |
+
idna==3.13
|
| 11 |
+
annotated-types==0.7.0
|
| 12 |
+
nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
+
cycler==0.12.1
|
| 14 |
+
ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
+
Jinja2==3.1.6
|
| 29 |
+
dynamic_network_architectures==0.4.3
|
| 30 |
+
contourpy==1.3.3
|
| 31 |
+
pydantic_core==2.46.3
|
| 32 |
+
nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
+
GitPython==3.1.49
|
| 35 |
+
gitdb==4.0.12
|
| 36 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 37 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
+
z3-solver==4.15.4.0
|
| 39 |
+
nvidia-nvtx-cu12==12.8.90
|
| 40 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 42 |
+
httpcore==1.0.9
|
| 43 |
+
cuda-python==13.3.1
|
| 44 |
+
MiMoSe==0.0.2
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 46 |
+
nodeocc==1.0.26
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
timm==1.0.22
|
| 49 |
+
charset-normalizer==3.4.7
|
| 50 |
+
thop==0.1.1-2209072238
|
| 51 |
+
shellingham==1.5.4
|
| 52 |
+
threadpoolctl==3.6.0
|
| 53 |
+
anyio==4.13.0
|
| 54 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
+
smmap==5.0.3
|
| 56 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
+
nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
+
typer==0.25.0
|
| 59 |
+
typing_extensions==4.15.0
|
| 60 |
+
causal-conv1d==1.6.2.post1
|
| 61 |
+
requests==2.33.1
|
| 62 |
+
mamba-ssm==2.3.2.post1
|
| 63 |
+
psutil==7.2.2
|
| 64 |
+
filelock==3.29.0
|
| 65 |
+
httpx==0.28.1
|
| 66 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
urllib3==2.6.3
|
| 69 |
+
h11==0.16.0
|
| 70 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 71 |
+
pyparsing==3.3.2
|
| 72 |
+
annotated-doc==0.0.4
|
| 73 |
+
hf-xet==1.4.3
|
| 74 |
+
cuda-pathfinder==1.5.6
|
| 75 |
+
platformdirs==4.9.6
|
| 76 |
+
MedPy==0.5.2
|
| 77 |
+
einops==0.8.2
|
| 78 |
+
wheel==0.47.0
|
| 79 |
+
tqdm==4.67.3
|
| 80 |
+
h5py==3.16.0
|
| 81 |
+
protobuf==6.33.6
|
| 82 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
+
fsspec==2026.4.0
|
| 84 |
+
ttkbootstrap==1.20.2
|
| 85 |
+
nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
+
mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
+
pillow==12.2.0
|
| 89 |
+
cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
+
prompt_toolkit==3.0.52
|
| 92 |
+
joblib==1.5.3
|
| 93 |
+
pydantic==2.13.3
|
| 94 |
+
nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
+
openpyxl==3.1.5
|
| 96 |
+
huggingface_hub==1.13.0
|
| 97 |
+
torchvision==0.24.1
|
| 98 |
+
sentry-sdk==2.58.0
|
| 99 |
+
cuda-core==1.0.1
|
| 100 |
+
apache-tvm-ffi==0.1.9
|
| 101 |
+
wandb==0.26.1
|
| 102 |
+
fonttools==4.62.1
|
| 103 |
+
Pygments==2.20.0
|
| 104 |
+
triton==3.5.1
|
| 105 |
+
setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
+
matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
+
scikit-learn==1.8.0
|
| 110 |
+
scipy==1.17.1
|
| 111 |
+
pandas==3.0.2
|
| 112 |
+
sympy==1.14.0
|
| 113 |
+
transformers==5.12.1
|
| 114 |
+
tilelang==0.1.8
|
| 115 |
+
torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
+
pluggy==1.6.0
|
| 119 |
+
ruff==0.15.12
|
| 120 |
+
librt==0.9.0
|
| 121 |
+
pathspec==1.1.1
|
| 122 |
+
pytest==9.0.3
|
| 123 |
+
mypy==1.20.2
|
| 124 |
+
MiMoSe==0.0.2
|
a2fseg23_fold1/wandb/run-20260717_095124-9x5bc56v/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.12.13",
|
| 4 |
+
"startedAt": "2026-07-17T09:51:24.419644Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"train",
|
| 7 |
+
"--config",
|
| 8 |
+
"a2fseg_23.yaml",
|
| 9 |
+
"--fold",
|
| 10 |
+
"1",
|
| 11 |
+
"--run-suffix",
|
| 12 |
+
"fold1",
|
| 13 |
+
"--seed",
|
| 14 |
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"0",
|
| 15 |
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|
| 16 |
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| 17 |
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a2fseg23_fold1/wandb/run-20260717_095124-9x5bc56v/logs/debug-core.log
ADDED
|
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a2fseg23_fold1/wandb/run-20260717_095124-9x5bc56v/logs/debug-internal.log
ADDED
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The diff for this file is too large to render.
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a2fseg23_fold1/wandb/run-20260717_095124-9x5bc56v/logs/debug.log
ADDED
|
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2026-07-17 09:51:28,756 INFO MainThread:377321 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-07-17 09:51:28,758 INFO MainThread:377321 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/a2fseg23_fold1/wandb/run-20260717_095124-9x5bc56v/logs/debug-internal.log
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| 6 |
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2026-07-17 09:51:28,758 INFO MainThread:377321 [wandb_init.py:init():850] calling init triggers
|
| 7 |
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2026-07-17 09:51:28,758 INFO MainThread:377321 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
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config: {'input_dir': '/work/phd_mimose/a2fseg-preprocessed', 'output_dir': '/work/phd_mimose/runs/a2fseg23_fold1', 'num_epochs': 300, 'validation_every': 10, 'batch_size': 8, 'num_workers': 8, 'fp16': True, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'patch_size': 80, 'debug': False, 'transform_kind': 'imfuse', 'train_masking_mode': 'random', 'val_masking_mode': 'validation', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 1}, 'model_class': 'A2FSeg', 'model_kwargs': {'num_cls': 4}, 'optimizer_class': 'SGD', 'optimizer': {'lr': 0.01, 'weight_decay': 3e-05, 'betas': None, 'momentum': 0.99, 'eps': None}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 300, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS23: 'brats23'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 0, 'patch_size': 80, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', '_wandb': {}}
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2026-07-17 09:51:28,758 INFO MainThread:377321 [wandb_init.py:init():898] starting backend
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2026-07-17 09:51:29,360 INFO MainThread:377321 [wandb_init.py:init():913] sending inform_init request
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2026-07-17 09:51:30,582 INFO MainThread:377321 [wandb_init.py:init():918] backend started and connected
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2026-07-17 09:51:30,585 INFO MainThread:377321 [wandb_init.py:init():988] updated telemetry
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2026-07-17 09:51:31,354 INFO MainThread:377321 [wandb_init.py:init():1056] starting run threads in backend
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2026-07-17 09:51:31,650 INFO MainThread:377321 [wandb_run.py:_console_start():2554] atexit reg
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2026-07-17 09:51:31,650 INFO MainThread:377321 [wandb_run.py:_redirect():2403] redirect: wrap_raw
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2026-07-17 09:51:31,650 INFO MainThread:377321 [wandb_run.py:_redirect():2472] Wrapping output streams.
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2026-07-17 09:51:31,650 INFO MainThread:377321 [wandb_run.py:_redirect():2495] Redirects installed.
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| 19 |
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2026-07-17 09:51:31,656 INFO MainThread:377321 [wandb_init.py:init():1094] run started, returning control to user process
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a2fseg23_fold1/wandb/run-20260718_195913-9x5bc56v/files/config.yaml
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| 1 |
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_wandb:
|
| 2 |
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value:
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cli_version: 0.26.1
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| 4 |
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e:
|
| 5 |
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m0tjc2ry1vff62f1766il94me1i6nbus:
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| 6 |
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args:
|
| 7 |
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- train
|
| 8 |
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- --config
|
| 9 |
+
- a2fseg_23.yaml
|
| 10 |
+
- --fold
|
| 11 |
+
- "1"
|
| 12 |
+
- --run-suffix
|
| 13 |
+
- fold1
|
| 14 |
+
- --seed
|
| 15 |
+
- "0"
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| 16 |
+
- --try-resume
|
| 17 |
+
codePath: .venv/bin/mimose
|
| 18 |
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codePathLocal: .venv/bin/mimose
|
| 19 |
+
cpu_count: 72
|
| 20 |
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cpu_count_logical: 144
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cudaVersion: "13.2"
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disk:
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total: "105089261568"
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used: "15947919360"
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executable: /homes/ocarpentiero/MiMoSe/.venv/bin/python3
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| 27 |
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git:
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| 28 |
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commit: 210b4b036fc8ef05a1259b830025b1633fe5fb48
|
| 29 |
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remote: https://github.com/AImageLab-zip/IM-Fuse.git
|
| 30 |
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gpu: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 31 |
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gpu_count: 1
|
| 32 |
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gpu_nvidia:
|
| 33 |
+
- architecture: Blackwell
|
| 34 |
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cudaCores: 24064
|
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memoryTotal: "102641958912"
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name: NVIDIA RTX PRO 6000 Blackwell Server Edition
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uuid: GPU-b60e2cfb-f288-fdb6-61a4-b5cee2898779
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host: aldo
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memory:
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total: "540631519232"
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os: Linux-5.15.0-181-generic-x86_64-with-glibc2.35
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| 42 |
+
program: /homes/ocarpentiero/MiMoSe/.venv/bin/mimose
|
| 43 |
+
python: CPython 3.12.13
|
| 44 |
+
root: /work/phd_mimose/runs/a2fseg23_fold1
|
| 45 |
+
slurm:
|
| 46 |
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cluster_name: aimagelab
|
| 47 |
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conf: /etc/slurm/slurm.conf
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| 48 |
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cpus_on_node: "8"
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| 49 |
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cpus_per_task: "8"
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gpus_on_node: "1"
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gtids: "0"
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job_account: phd_mimose
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job_end_time: "1784483912"
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job_gpus: "1"
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job_name: A2FSEG23_FOLD_1
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job_num_nodes: "1"
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job_partition: boost_usr_prod
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submit_host: ailb-login-03
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topology_addr: aldo
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topology_addr_pattern: node
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tres_per_task: cpu=8
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startedAt: "2026-07-18T17:59:13.444889Z"
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writerId: m0tjc2ry1vff62f1766il94me1i6nbus
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m: []
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| 88 |
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python_version: 3.12.13
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| 89 |
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t:
|
| 90 |
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"1":
|
| 91 |
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- 1
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- 5
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| 93 |
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- 11
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| 94 |
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- 49
|
| 95 |
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- 53
|
| 96 |
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"2":
|
| 97 |
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- 1
|
| 98 |
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|
| 99 |
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- 11
|
| 100 |
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- 49
|
| 101 |
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- 53
|
| 102 |
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"3":
|
| 103 |
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- 2
|
| 104 |
+
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|
| 105 |
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- 13
|
| 106 |
+
- 14
|
| 107 |
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- 16
|
| 108 |
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- 62
|
| 109 |
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"4": 3.12.13
|
| 110 |
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"5": 0.26.1
|
| 111 |
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"6": 5.12.1
|
| 112 |
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"12": 0.26.1
|
| 113 |
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"13": linux-x86_64
|
| 114 |
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batch_size:
|
| 115 |
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value: 8
|
| 116 |
+
compile:
|
| 117 |
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value: false
|
| 118 |
+
custom_trainer_kwargs:
|
| 119 |
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value:
|
| 120 |
+
debug: false
|
| 121 |
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fold: 1
|
| 122 |
+
iter_per_epoch: null
|
| 123 |
+
patch_size: 80
|
| 124 |
+
split_file: /homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json
|
| 125 |
+
train_masking_mode: random
|
| 126 |
+
transform_kind: imfuse
|
| 127 |
+
val_masking_mode: validation
|
| 128 |
+
dataset_type:
|
| 129 |
+
value: BRATS23
|
| 130 |
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debug:
|
| 131 |
+
value: false
|
| 132 |
+
fp16:
|
| 133 |
+
value: true
|
| 134 |
+
hf_repo:
|
| 135 |
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value: AImageLab-Zip/MiMoSe
|
| 136 |
+
input_dir:
|
| 137 |
+
value: /work/phd_mimose/a2fseg-preprocessed
|
| 138 |
+
iter_per_epoch:
|
| 139 |
+
value: null
|
| 140 |
+
loss_class:
|
| 141 |
+
value: IMFuseLoss
|
| 142 |
+
loss_kwargs:
|
| 143 |
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value:
|
| 144 |
+
eps: 0.001
|
| 145 |
+
fuse_weight: 1
|
| 146 |
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log_clamp_min: 0.005
|
| 147 |
+
num_classes: null
|
| 148 |
+
prm_weight: 1
|
| 149 |
+
sep_weight: 1
|
| 150 |
+
model_class:
|
| 151 |
+
value: A2FSeg
|
| 152 |
+
model_kwargs:
|
| 153 |
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value:
|
| 154 |
+
num_cls: 4
|
| 155 |
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num_epochs:
|
| 156 |
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value: 300
|
| 157 |
+
num_workers:
|
| 158 |
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value: 8
|
| 159 |
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optimizer:
|
| 160 |
+
value:
|
| 161 |
+
betas: null
|
| 162 |
+
eps: null
|
| 163 |
+
lr: 0.01
|
| 164 |
+
momentum: 0.99
|
| 165 |
+
weight_decay: 3e-05
|
| 166 |
+
optimizer_class:
|
| 167 |
+
value: SGD
|
| 168 |
+
output_dir:
|
| 169 |
+
value: /work/phd_mimose/runs/a2fseg23_fold1
|
| 170 |
+
patch_size:
|
| 171 |
+
value: 80
|
| 172 |
+
push_to_hf:
|
| 173 |
+
value: true
|
| 174 |
+
region_fusion_start_epoch:
|
| 175 |
+
value: 0
|
| 176 |
+
scheduler_class:
|
| 177 |
+
value: PolynomialLR
|
| 178 |
+
scheduler_kwargs:
|
| 179 |
+
value:
|
| 180 |
+
power: 0.9
|
| 181 |
+
total_iters: 300
|
| 182 |
+
seed:
|
| 183 |
+
value: 0
|
| 184 |
+
split_file:
|
| 185 |
+
value: /homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json
|
| 186 |
+
train_masking_mode:
|
| 187 |
+
value: RANDOM
|
| 188 |
+
val_masking_mode:
|
| 189 |
+
value: VALIDATION
|
| 190 |
+
validation_every:
|
| 191 |
+
value: 10
|
a2fseg23_fold1/wandb/run-20260718_195913-9x5bc56v/files/output.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Processing Files (1 / 1) : 100%|██████████| 28.6MB / 28.6MB, 7.93MB/s
|
| 2 |
+
New Data Upload : 100%|██████████| 28.6MB / 28.6MB, 7.93MB/s
|
| 3 |
+
..._weights_only.safetensors: 100%|██████████| 28.6MB / 28.6MB
|
a2fseg23_fold1/wandb/run-20260718_195913-9x5bc56v/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
six==1.17.0
|
| 2 |
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nvidia-cutlass-dsl==4.6.0
|
| 3 |
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et_xmlfile==2.0.0
|
| 4 |
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certifi==2026.4.22
|
| 5 |
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nvidia-nccl-cu12==2.27.5
|
| 6 |
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regex==2026.6.28
|
| 7 |
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ml_dtypes==0.5.4
|
| 8 |
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simpleitk==2.5.4
|
| 9 |
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kiwisolver==1.5.0
|
| 10 |
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idna==3.13
|
| 11 |
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annotated-types==0.7.0
|
| 12 |
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nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
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cycler==0.12.1
|
| 14 |
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ptflops==0.7.5
|
| 15 |
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typing-inspection==0.4.2
|
| 16 |
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ninja==1.13.0
|
| 17 |
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nvidia-cufile-cu12==1.13.1.3
|
| 18 |
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nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
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cloudpickle==3.1.2
|
| 20 |
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python-dateutil==2.9.0.post0
|
| 21 |
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tokenizers==0.22.2
|
| 22 |
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packaging==26.2
|
| 23 |
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wcwidth==0.6.0
|
| 24 |
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safetensors==0.7.0
|
| 25 |
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torch_c_dlpack_ext==0.1.5
|
| 26 |
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mdurl==0.1.2
|
| 27 |
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click==8.3.3
|
| 28 |
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Jinja2==3.1.6
|
| 29 |
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dynamic_network_architectures==0.4.3
|
| 30 |
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contourpy==1.3.3
|
| 31 |
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pydantic_core==2.46.3
|
| 32 |
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nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
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GitPython==3.1.49
|
| 35 |
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gitdb==4.0.12
|
| 36 |
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nvidia-cusparselt-cu12==0.7.1
|
| 37 |
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nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
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z3-solver==4.15.4.0
|
| 39 |
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nvidia-nvtx-cu12==12.8.90
|
| 40 |
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nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
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nvidia-cufft-cu12==11.3.3.83
|
| 42 |
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httpcore==1.0.9
|
| 43 |
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cuda-python==13.3.1
|
| 44 |
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MiMoSe==0.0.2
|
| 45 |
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nvidia-cublas-cu12==12.8.4.1
|
| 46 |
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nodeocc==1.0.26
|
| 47 |
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MarkupSafe==3.0.3
|
| 48 |
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timm==1.0.22
|
| 49 |
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charset-normalizer==3.4.7
|
| 50 |
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thop==0.1.1-2209072238
|
| 51 |
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shellingham==1.5.4
|
| 52 |
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threadpoolctl==3.6.0
|
| 53 |
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anyio==4.13.0
|
| 54 |
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nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
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smmap==5.0.3
|
| 56 |
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nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
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nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
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typer==0.25.0
|
| 59 |
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typing_extensions==4.15.0
|
| 60 |
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causal-conv1d==1.6.2.post1
|
| 61 |
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requests==2.33.1
|
| 62 |
+
mamba-ssm==2.3.2.post1
|
| 63 |
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psutil==7.2.2
|
| 64 |
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filelock==3.29.0
|
| 65 |
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httpx==0.28.1
|
| 66 |
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nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
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markdown-it-py==4.0.0
|
| 68 |
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urllib3==2.6.3
|
| 69 |
+
h11==0.16.0
|
| 70 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 71 |
+
pyparsing==3.3.2
|
| 72 |
+
annotated-doc==0.0.4
|
| 73 |
+
hf-xet==1.4.3
|
| 74 |
+
cuda-pathfinder==1.5.6
|
| 75 |
+
platformdirs==4.9.6
|
| 76 |
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MedPy==0.5.2
|
| 77 |
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einops==0.8.2
|
| 78 |
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wheel==0.47.0
|
| 79 |
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tqdm==4.67.3
|
| 80 |
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h5py==3.16.0
|
| 81 |
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protobuf==6.33.6
|
| 82 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
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fsspec==2026.4.0
|
| 84 |
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ttkbootstrap==1.20.2
|
| 85 |
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nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
+
mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
+
pillow==12.2.0
|
| 89 |
+
cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
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prompt_toolkit==3.0.52
|
| 92 |
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joblib==1.5.3
|
| 93 |
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pydantic==2.13.3
|
| 94 |
+
nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
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openpyxl==3.1.5
|
| 96 |
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huggingface_hub==1.13.0
|
| 97 |
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torchvision==0.24.1
|
| 98 |
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sentry-sdk==2.58.0
|
| 99 |
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cuda-core==1.0.1
|
| 100 |
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apache-tvm-ffi==0.1.9
|
| 101 |
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wandb==0.26.1
|
| 102 |
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fonttools==4.62.1
|
| 103 |
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Pygments==2.20.0
|
| 104 |
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triton==3.5.1
|
| 105 |
+
setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
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matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
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scikit-learn==1.8.0
|
| 110 |
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scipy==1.17.1
|
| 111 |
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pandas==3.0.2
|
| 112 |
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sympy==1.14.0
|
| 113 |
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transformers==5.12.1
|
| 114 |
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tilelang==0.1.8
|
| 115 |
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torch==2.9.1
|
| 116 |
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mypy_extensions==1.1.0
|
| 117 |
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iniconfig==2.3.0
|
| 118 |
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pluggy==1.6.0
|
| 119 |
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ruff==0.15.12
|
| 120 |
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librt==0.9.0
|
| 121 |
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pathspec==1.1.1
|
| 122 |
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pytest==9.0.3
|
| 123 |
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mypy==1.20.2
|
| 124 |
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MiMoSe==0.0.2
|
a2fseg23_fold1/wandb/run-20260718_195913-9x5bc56v/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
| 3 |
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"python": "CPython 3.12.13",
|
| 4 |
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"startedAt": "2026-07-18T17:59:13.444889Z",
|
| 5 |
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"args": [
|
| 6 |
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"train",
|
| 7 |
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"--config",
|
| 8 |
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"a2fseg_23.yaml",
|
| 9 |
+
"--fold",
|
| 10 |
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"1",
|
| 11 |
+
"--run-suffix",
|
| 12 |
+
"fold1",
|
| 13 |
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"--seed",
|
| 14 |
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"0",
|
| 15 |
+
"--try-resume"
|
| 16 |
+
],
|
| 17 |
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"program": "/homes/ocarpentiero/MiMoSe/.venv/bin/mimose",
|
| 18 |
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"codePath": ".venv/bin/mimose",
|
| 19 |
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"codePathLocal": ".venv/bin/mimose",
|
| 20 |
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"git": {
|
| 21 |
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"remote": "https://github.com/AImageLab-zip/IM-Fuse.git",
|
| 22 |
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"commit": "210b4b036fc8ef05a1259b830025b1633fe5fb48"
|
| 23 |
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},
|
| 24 |
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"root": "/work/phd_mimose/runs/a2fseg23_fold1",
|
| 25 |
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"host": "aldo",
|
| 26 |
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"executable": "/homes/ocarpentiero/MiMoSe/.venv/bin/python3",
|
| 27 |
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"cpu_count": 72,
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| 28 |
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"cpu_count_logical": 144,
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| 29 |
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"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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| 30 |
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"gpu_count": 1,
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| 31 |
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"disk": {
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"/": {
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| 33 |
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"memory": {
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| 38 |
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| 40 |
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"gpu_nvidia": [
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| 41 |
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{
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| 42 |
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| 43 |
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"memoryTotal": "102641958912",
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| 47 |
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| 48 |
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| 49 |
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"cudaVersion": "13.2",
|
| 50 |
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"slurm": {
|
| 51 |
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"cluster_name": "aimagelab",
|
| 52 |
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"conf": "/etc/slurm/slurm.conf",
|
| 53 |
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
nvidia-nccl-cu12==2.27.5
|
| 6 |
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regex==2026.6.28
|
| 7 |
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ml_dtypes==0.5.4
|
| 8 |
+
simpleitk==2.5.4
|
| 9 |
+
kiwisolver==1.5.0
|
| 10 |
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idna==3.13
|
| 11 |
+
annotated-types==0.7.0
|
| 12 |
+
nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
+
cycler==0.12.1
|
| 14 |
+
ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
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nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
+
Jinja2==3.1.6
|
| 29 |
+
dynamic_network_architectures==0.4.3
|
| 30 |
+
contourpy==1.3.3
|
| 31 |
+
pydantic_core==2.46.3
|
| 32 |
+
nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
+
GitPython==3.1.49
|
| 35 |
+
gitdb==4.0.12
|
| 36 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 37 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
+
z3-solver==4.15.4.0
|
| 39 |
+
nvidia-nvtx-cu12==12.8.90
|
| 40 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 42 |
+
httpcore==1.0.9
|
| 43 |
+
cuda-python==13.3.1
|
| 44 |
+
MiMoSe==0.0.2
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 46 |
+
nodeocc==1.0.26
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
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timm==1.0.22
|
| 49 |
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charset-normalizer==3.4.7
|
| 50 |
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thop==0.1.1-2209072238
|
| 51 |
+
shellingham==1.5.4
|
| 52 |
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threadpoolctl==3.6.0
|
| 53 |
+
anyio==4.13.0
|
| 54 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
+
smmap==5.0.3
|
| 56 |
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nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
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nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
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typer==0.25.0
|
| 59 |
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typing_extensions==4.15.0
|
| 60 |
+
causal-conv1d==1.6.2.post1
|
| 61 |
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requests==2.33.1
|
| 62 |
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mamba-ssm==2.3.2.post1
|
| 63 |
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psutil==7.2.2
|
| 64 |
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filelock==3.29.0
|
| 65 |
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httpx==0.28.1
|
| 66 |
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nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
urllib3==2.6.3
|
| 69 |
+
h11==0.16.0
|
| 70 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 71 |
+
pyparsing==3.3.2
|
| 72 |
+
annotated-doc==0.0.4
|
| 73 |
+
hf-xet==1.4.3
|
| 74 |
+
cuda-pathfinder==1.5.6
|
| 75 |
+
platformdirs==4.9.6
|
| 76 |
+
MedPy==0.5.2
|
| 77 |
+
einops==0.8.2
|
| 78 |
+
wheel==0.47.0
|
| 79 |
+
tqdm==4.67.3
|
| 80 |
+
h5py==3.16.0
|
| 81 |
+
protobuf==6.33.6
|
| 82 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
+
fsspec==2026.4.0
|
| 84 |
+
ttkbootstrap==1.20.2
|
| 85 |
+
nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
+
mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
+
pillow==12.2.0
|
| 89 |
+
cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
+
prompt_toolkit==3.0.52
|
| 92 |
+
joblib==1.5.3
|
| 93 |
+
pydantic==2.13.3
|
| 94 |
+
nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
+
openpyxl==3.1.5
|
| 96 |
+
huggingface_hub==1.13.0
|
| 97 |
+
torchvision==0.24.1
|
| 98 |
+
sentry-sdk==2.58.0
|
| 99 |
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cuda-core==1.0.1
|
| 100 |
+
apache-tvm-ffi==0.1.9
|
| 101 |
+
wandb==0.26.1
|
| 102 |
+
fonttools==4.62.1
|
| 103 |
+
Pygments==2.20.0
|
| 104 |
+
triton==3.5.1
|
| 105 |
+
setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
+
matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
+
scikit-learn==1.8.0
|
| 110 |
+
scipy==1.17.1
|
| 111 |
+
pandas==3.0.2
|
| 112 |
+
sympy==1.14.0
|
| 113 |
+
transformers==5.12.1
|
| 114 |
+
tilelang==0.1.8
|
| 115 |
+
torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
+
pluggy==1.6.0
|
| 119 |
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ruff==0.15.12
|
| 120 |
+
librt==0.9.0
|
| 121 |
+
pathspec==1.1.1
|
| 122 |
+
pytest==9.0.3
|
| 123 |
+
mypy==1.20.2
|
| 124 |
+
MiMoSe==0.0.2
|
dcseg23_fold3/wandb/run-20260719_061604-e2ufy71b/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.12.13",
|
| 4 |
+
"startedAt": "2026-07-19T04:16:04.279390Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"train",
|
| 7 |
+
"--config",
|
| 8 |
+
"dcseg_23.yaml",
|
| 9 |
+
"--fold",
|
| 10 |
+
"3",
|
| 11 |
+
"--run-suffix",
|
| 12 |
+
"fold3",
|
| 13 |
+
"--seed",
|
| 14 |
+
"0",
|
| 15 |
+
"--try-resume"
|
| 16 |
+
],
|
| 17 |
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"program": "/homes/ocarpentiero/MiMoSe/.venv/bin/mimose",
|
| 18 |
+
"codePath": ".venv/bin/mimose",
|
| 19 |
+
"codePathLocal": ".venv/bin/mimose",
|
| 20 |
+
"git": {
|
| 21 |
+
"remote": "https://github.com/AImageLab-zip/IM-Fuse.git",
|
| 22 |
+
"commit": "b4457229edb5d8df157e65944d915dc74901348c"
|
| 23 |
+
},
|
| 24 |
+
"root": "/work/phd_mimose/runs/dcseg23_fold3",
|
| 25 |
+
"host": "remigio",
|
| 26 |
+
"executable": "/homes/ocarpentiero/MiMoSe/.venv/bin/python3",
|
| 27 |
+
"cpu_count": 40,
|
| 28 |
+
"cpu_count_logical": 80,
|
| 29 |
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"gpu": "NVIDIA L40S",
|
| 30 |
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"gpu_count": 1,
|
| 31 |
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"disk": {
|
| 32 |
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"/": {
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| 33 |
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"total": "105089261568",
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| 34 |
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"used": "19374063616"
|
| 35 |
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| 36 |
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| 37 |
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"memory": {
|
| 38 |
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"total": "540708646912"
|
| 39 |
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| 40 |
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"gpu_nvidia": [
|
| 41 |
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{
|
| 42 |
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"name": "NVIDIA L40S",
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| 43 |
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"memoryTotal": "48305799168",
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| 44 |
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"cudaCores": 18176,
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| 45 |
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"architecture": "Ada",
|
| 46 |
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"uuid": "GPU-43cb960b-9a7d-7bfb-a94a-82ba78fe9bc2"
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| 47 |
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}
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| 48 |
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],
|
| 49 |
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"cudaVersion": "13.2",
|
| 50 |
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"slurm": {
|
| 51 |
+
"cluster_name": "aimagelab",
|
| 52 |
+
"conf": "/etc/slurm/slurm.conf",
|
| 53 |
+
"cpus_on_node": "8",
|
| 54 |
+
"cpus_per_task": "8",
|
| 55 |
+
"gpus_on_node": "1",
|
| 56 |
+
"gtids": "0",
|
| 57 |
+
"job_account": "phd_mimose",
|
| 58 |
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"job_cpus_per_node": "8",
|
| 59 |
+
"job_dependency": "singleton",
|
| 60 |
+
"job_end_time": "1784520932",
|
| 61 |
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"job_gid": "502",
|
| 62 |
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"job_gpus": "0",
|
| 63 |
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"job_id": "67863",
|
| 64 |
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"job_name": "DCSEG23_FOLD_3",
|
| 65 |
+
"job_nodelist": "remigio",
|
| 66 |
+
"job_num_nodes": "1",
|
| 67 |
+
"job_partition": "boost_usr_prod",
|
| 68 |
+
"job_qos": "normal",
|
| 69 |
+
"job_start_time": "1784434532",
|
| 70 |
+
"job_uid": "92375",
|
| 71 |
+
"job_user": "ocarpentiero",
|
| 72 |
+
"jobid": "67863",
|
| 73 |
+
"localid": "0",
|
| 74 |
+
"mem_per_node": "102400",
|
| 75 |
+
"nnodes": "1",
|
| 76 |
+
"nodeid": "0",
|
| 77 |
+
"nodelist": "remigio",
|
| 78 |
+
"nprocs": "1",
|
| 79 |
+
"ntasks": "1",
|
| 80 |
+
"oom_kill_step": "0",
|
| 81 |
+
"prio_process": "0",
|
| 82 |
+
"procid": "0",
|
| 83 |
+
"submit_dir": "/homes/ocarpentiero/MiMoSe",
|
| 84 |
+
"submit_host": "ailb-login-03",
|
| 85 |
+
"task_pid": "3843606",
|
| 86 |
+
"tasks_per_node": "1",
|
| 87 |
+
"topology_addr": "remigio",
|
| 88 |
+
"topology_addr_pattern": "node",
|
| 89 |
+
"tres_per_task": "cpu=8"
|
| 90 |
+
},
|
| 91 |
+
"writerId": "ocpqrfu8nxkobxxen0f7jjdnrke7z1n6"
|
| 92 |
+
}
|
dcseg23_fold3/wandb/run-20260719_061604-e2ufy71b/logs/debug-core.log
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-07-19T06:16:04.575841301+02:00","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp6cuye4na/port-3843609.txt","pid":3843609,"detached":false,"idle-timeout":600000000000,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-07-19T06:16:04.57688818+02:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":3843609}
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| 3 |
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{"time":"2026-07-19T06:16:04.576765645+02:00","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-3843609-3843642-504722624/socket","Net":"unix"}}
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| 4 |
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{"time":"2026-07-19T06:16:04.738682493+02:00","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
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| 5 |
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{"time":"2026-07-19T06:16:04.769801517+02:00","level":"INFO","msg":"handleInformInit: received","streamId":"e2ufy71b","id":"1(@)"}
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| 6 |
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{"time":"2026-07-19T06:16:05.213099962+02:00","level":"INFO","msg":"handleInformInit: stream started","streamId":"e2ufy71b","id":"1(@)"}
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| 7 |
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{"time":"2026-07-19T06:16:11.014871917+02:00","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"yx0cib41cos2"}
|
dcseg23_fold3/wandb/run-20260719_061604-e2ufy71b/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
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|
|
|
dcseg23_fold3/wandb/run-20260719_061604-e2ufy71b/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-07-19 06:16:04,387 INFO MainThread:3843609 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
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2026-07-19 06:16:04,387 INFO MainThread:3843609 [wandb_setup.py:_flush():81] Configure stats pid to 3843609
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| 3 |
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2026-07-19 06:16:04,387 INFO MainThread:3843609 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-19 06:16:04,388 INFO MainThread:3843609 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /work/phd_mimose/runs/dcseg23_fold3/wandb/run-20260719_061604-e2ufy71b/logs/debug.log
|
| 5 |
+
2026-07-19 06:16:04,389 INFO MainThread:3843609 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/dcseg23_fold3/wandb/run-20260719_061604-e2ufy71b/logs/debug-internal.log
|
| 6 |
+
2026-07-19 06:16:04,389 INFO MainThread:3843609 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-19 06:16:04,389 INFO MainThread:3843609 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'input_dir': '/work/phd_mimose/dcseg-preprocessed', 'output_dir': '/work/phd_mimose/runs/dcseg23_fold3', 'num_epochs': 500, 'validation_every': 10, 'batch_size': 3, 'num_workers': 8, 'fp16': True, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'region_fusion_start_epoch': 20, 'patch_size': 80, 'debug': False, 'transform_kind': 'imfuse', 'train_masking_mode': 'random', 'val_masking_mode': 'validation', 'use_recon_loss': True, 'use_reg_loss': True, 'use_ana_contrastive': True, 'use_mod_contrastive': True, 'regularization_alpha': 0.1, 'anatomy_contrastive_method': 'ssim', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 3}, 'model_class': 'DCSeg', 'model_kwargs': {'num_cls': 4, 'fusion_type': 'RFM'}, 'optimizer_class': 'Adam', 'optimizer': {'lr': 0.0003, 'weight_decay': 0.0001, 'betas': (0.9, 0.999), 'momentum': None, 'eps': 1e-08}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 500, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS23: 'brats23'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 20, 'patch_size': 80, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'use_recon_loss': True, 'use_reg_loss': True, 'use_ana_contrastive': True, 'use_mod_contrastive': True, 'regularization_alpha': 0.1, 'anatomy_contrastive_method': 'ssim', '_wandb': {}}
|
| 9 |
+
2026-07-19 06:16:04,389 INFO MainThread:3843609 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-07-19 06:16:04,739 INFO MainThread:3843609 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-19 06:16:05,214 INFO MainThread:3843609 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-19 06:16:05,219 INFO MainThread:3843609 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-19 06:16:05,306 INFO MainThread:3843609 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-19 06:16:05,647 INFO MainThread:3843609 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-07-19 06:16:06,004 INFO MainThread:3843609 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
+
2026-07-19 06:16:06,004 INFO MainThread:3843609 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
+
2026-07-19 06:16:06,004 INFO MainThread:3843609 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
+
2026-07-19 06:16:06,005 INFO MainThread:3843609 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-07-19 06:16:06,012 INFO MainThread:3843609 [wandb_init.py:init():1094] run started, returning control to user process
|
dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
|
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|
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|
|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
nvidia-nccl-cu12==2.27.5
|
| 6 |
+
regex==2026.6.28
|
| 7 |
+
ml_dtypes==0.5.4
|
| 8 |
+
simpleitk==2.5.4
|
| 9 |
+
kiwisolver==1.5.0
|
| 10 |
+
idna==3.13
|
| 11 |
+
annotated-types==0.7.0
|
| 12 |
+
nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
+
cycler==0.12.1
|
| 14 |
+
ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
+
Jinja2==3.1.6
|
| 29 |
+
dynamic_network_architectures==0.4.3
|
| 30 |
+
contourpy==1.3.3
|
| 31 |
+
pydantic_core==2.46.3
|
| 32 |
+
nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
+
GitPython==3.1.49
|
| 35 |
+
gitdb==4.0.12
|
| 36 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 37 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
+
z3-solver==4.15.4.0
|
| 39 |
+
nvidia-nvtx-cu12==12.8.90
|
| 40 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 42 |
+
httpcore==1.0.9
|
| 43 |
+
cuda-python==13.3.1
|
| 44 |
+
MiMoSe==0.0.2
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 46 |
+
nodeocc==1.0.26
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
timm==1.0.22
|
| 49 |
+
charset-normalizer==3.4.7
|
| 50 |
+
thop==0.1.1-2209072238
|
| 51 |
+
shellingham==1.5.4
|
| 52 |
+
threadpoolctl==3.6.0
|
| 53 |
+
anyio==4.13.0
|
| 54 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
+
smmap==5.0.3
|
| 56 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
+
nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
+
typer==0.25.0
|
| 59 |
+
typing_extensions==4.15.0
|
| 60 |
+
causal-conv1d==1.6.2.post1
|
| 61 |
+
requests==2.33.1
|
| 62 |
+
mamba-ssm==2.3.2.post1
|
| 63 |
+
psutil==7.2.2
|
| 64 |
+
filelock==3.29.0
|
| 65 |
+
httpx==0.28.1
|
| 66 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
urllib3==2.6.3
|
| 69 |
+
h11==0.16.0
|
| 70 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 71 |
+
pyparsing==3.3.2
|
| 72 |
+
annotated-doc==0.0.4
|
| 73 |
+
hf-xet==1.4.3
|
| 74 |
+
cuda-pathfinder==1.5.6
|
| 75 |
+
platformdirs==4.9.6
|
| 76 |
+
MedPy==0.5.2
|
| 77 |
+
einops==0.8.2
|
| 78 |
+
wheel==0.47.0
|
| 79 |
+
tqdm==4.67.3
|
| 80 |
+
h5py==3.16.0
|
| 81 |
+
protobuf==6.33.6
|
| 82 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
+
fsspec==2026.4.0
|
| 84 |
+
ttkbootstrap==1.20.2
|
| 85 |
+
nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
+
mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
+
pillow==12.2.0
|
| 89 |
+
cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
+
prompt_toolkit==3.0.52
|
| 92 |
+
joblib==1.5.3
|
| 93 |
+
pydantic==2.13.3
|
| 94 |
+
nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
+
openpyxl==3.1.5
|
| 96 |
+
huggingface_hub==1.13.0
|
| 97 |
+
torchvision==0.24.1
|
| 98 |
+
sentry-sdk==2.58.0
|
| 99 |
+
cuda-core==1.0.1
|
| 100 |
+
apache-tvm-ffi==0.1.9
|
| 101 |
+
wandb==0.26.1
|
| 102 |
+
fonttools==4.62.1
|
| 103 |
+
Pygments==2.20.0
|
| 104 |
+
triton==3.5.1
|
| 105 |
+
setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
+
matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
+
scikit-learn==1.8.0
|
| 110 |
+
scipy==1.17.1
|
| 111 |
+
pandas==3.0.2
|
| 112 |
+
sympy==1.14.0
|
| 113 |
+
transformers==5.12.1
|
| 114 |
+
tilelang==0.1.8
|
| 115 |
+
torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
+
pluggy==1.6.0
|
| 119 |
+
ruff==0.15.12
|
| 120 |
+
librt==0.9.0
|
| 121 |
+
pathspec==1.1.1
|
| 122 |
+
pytest==9.0.3
|
| 123 |
+
mypy==1.20.2
|
| 124 |
+
MiMoSe==0.0.2
|
dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.12.13",
|
| 4 |
+
"startedAt": "2026-07-20T08:08:16.852635Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"train",
|
| 7 |
+
"--config",
|
| 8 |
+
"dcseg_23.yaml",
|
| 9 |
+
"--fold",
|
| 10 |
+
"3",
|
| 11 |
+
"--run-suffix",
|
| 12 |
+
"fold3",
|
| 13 |
+
"--seed",
|
| 14 |
+
"0",
|
| 15 |
+
"--try-resume"
|
| 16 |
+
],
|
| 17 |
+
"program": "/homes/ocarpentiero/MiMoSe/.venv/bin/mimose",
|
| 18 |
+
"codePath": ".venv/bin/mimose",
|
| 19 |
+
"codePathLocal": ".venv/bin/mimose",
|
| 20 |
+
"git": {
|
| 21 |
+
"remote": "https://github.com/AImageLab-zip/IM-Fuse.git",
|
| 22 |
+
"commit": "939910fa6af8dc33e599ae158677254c2e760bc3"
|
| 23 |
+
},
|
| 24 |
+
"root": "/work/phd_mimose/runs/dcseg23_fold3",
|
| 25 |
+
"host": "bimbogigi",
|
| 26 |
+
"executable": "/homes/ocarpentiero/MiMoSe/.venv/bin/python3",
|
| 27 |
+
"cpu_count": 40,
|
| 28 |
+
"cpu_count_logical": 80,
|
| 29 |
+
"gpu": "NVIDIA L40S",
|
| 30 |
+
"gpu_count": 1,
|
| 31 |
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"disk": {
|
| 32 |
+
"/": {
|
| 33 |
+
"total": "105089261568",
|
| 34 |
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"used": "20195270656"
|
| 35 |
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}
|
| 36 |
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},
|
| 37 |
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"memory": {
|
| 38 |
+
"total": "540709269504"
|
| 39 |
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},
|
| 40 |
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"gpu_nvidia": [
|
| 41 |
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{
|
| 42 |
+
"name": "NVIDIA L40S",
|
| 43 |
+
"memoryTotal": "48305799168",
|
| 44 |
+
"cudaCores": 18176,
|
| 45 |
+
"architecture": "Ada",
|
| 46 |
+
"uuid": "GPU-2fedc147-c289-e56c-a2b1-3d90c32b0831"
|
| 47 |
+
}
|
| 48 |
+
],
|
| 49 |
+
"cudaVersion": "13.2",
|
| 50 |
+
"slurm": {
|
| 51 |
+
"cluster_name": "aimagelab",
|
| 52 |
+
"conf": "/etc/slurm/slurm.conf",
|
| 53 |
+
"cpus_on_node": "8",
|
| 54 |
+
"cpus_per_task": "8",
|
| 55 |
+
"gpus_on_node": "1",
|
| 56 |
+
"gtids": "0",
|
| 57 |
+
"job_account": "phd_mimose",
|
| 58 |
+
"job_cpus_per_node": "8",
|
| 59 |
+
"job_dependency": "singleton",
|
| 60 |
+
"job_end_time": "1784621252",
|
| 61 |
+
"job_gid": "502",
|
| 62 |
+
"job_gpus": "1",
|
| 63 |
+
"job_id": "67864",
|
| 64 |
+
"job_name": "DCSEG23_FOLD_3",
|
| 65 |
+
"job_nodelist": "bimbogigi",
|
| 66 |
+
"job_num_nodes": "1",
|
| 67 |
+
"job_partition": "boost_usr_prod",
|
| 68 |
+
"job_qos": "normal",
|
| 69 |
+
"job_start_time": "1784534852",
|
| 70 |
+
"job_uid": "92375",
|
| 71 |
+
"job_user": "ocarpentiero",
|
| 72 |
+
"jobid": "67864",
|
| 73 |
+
"localid": "0",
|
| 74 |
+
"mem_per_node": "102400",
|
| 75 |
+
"nnodes": "1",
|
| 76 |
+
"nodeid": "0",
|
| 77 |
+
"nodelist": "bimbogigi",
|
| 78 |
+
"nprocs": "1",
|
| 79 |
+
"ntasks": "1",
|
| 80 |
+
"oom_kill_step": "0",
|
| 81 |
+
"prio_process": "0",
|
| 82 |
+
"procid": "0",
|
| 83 |
+
"submit_dir": "/homes/ocarpentiero/MiMoSe",
|
| 84 |
+
"submit_host": "ailb-login-03",
|
| 85 |
+
"task_pid": "561846",
|
| 86 |
+
"tasks_per_node": "1",
|
| 87 |
+
"topology_addr": "bimbogigi",
|
| 88 |
+
"topology_addr_pattern": "node",
|
| 89 |
+
"tres_per_task": "cpu=8"
|
| 90 |
+
},
|
| 91 |
+
"writerId": "9oucthnlwujf86ptodjooztet0i80rqs"
|
| 92 |
+
}
|
dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/logs/debug-core.log
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-07-20T08:08:21.020677295Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmp338z4136/port-561849.txt","pid":561849,"detached":false,"idle-timeout":600000000000,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-07-20T08:08:21.021243473Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":561849}
|
| 3 |
+
{"time":"2026-07-20T08:08:21.0211964Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-561849-561886-868057999/socket","Net":"unix"}}
|
| 4 |
+
{"time":"2026-07-20T08:08:21.201967091Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
|
| 5 |
+
{"time":"2026-07-20T08:08:21.277739372Z","level":"INFO","msg":"handleInformInit: received","streamId":"e2ufy71b","id":"1(@)"}
|
| 6 |
+
{"time":"2026-07-20T08:08:23.18282023Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"e2ufy71b","id":"1(@)"}
|
| 7 |
+
{"time":"2026-07-20T08:08:29.101520235Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"2tuv2te0m1h2"}
|
dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/logs/debug.log
ADDED
|
@@ -0,0 +1,20 @@
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|
| 1 |
+
2026-07-20 08:08:20,830 INFO MainThread:561849 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
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2026-07-20 08:08:20,830 INFO MainThread:561849 [wandb_setup.py:_flush():81] Configure stats pid to 561849
|
| 3 |
+
2026-07-20 08:08:20,831 INFO MainThread:561849 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-20 08:08:20,832 INFO MainThread:561849 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /work/phd_mimose/runs/dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/logs/debug.log
|
| 5 |
+
2026-07-20 08:08:20,832 INFO MainThread:561849 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/dcseg23_fold3/wandb/run-20260720_080816-e2ufy71b/logs/debug-internal.log
|
| 6 |
+
2026-07-20 08:08:20,832 INFO MainThread:561849 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-20 08:08:20,832 INFO MainThread:561849 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'input_dir': '/work/phd_mimose/dcseg-preprocessed', 'output_dir': '/work/phd_mimose/runs/dcseg23_fold3', 'num_epochs': 500, 'validation_every': 10, 'batch_size': 3, 'num_workers': 8, 'fp16': True, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'region_fusion_start_epoch': 20, 'patch_size': 80, 'debug': False, 'transform_kind': 'imfuse', 'train_masking_mode': 'random', 'val_masking_mode': 'validation', 'use_recon_loss': True, 'use_reg_loss': True, 'use_ana_contrastive': True, 'use_mod_contrastive': True, 'regularization_alpha': 0.1, 'anatomy_contrastive_method': 'ssim', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 3}, 'model_class': 'DCSeg', 'model_kwargs': {'num_cls': 4, 'fusion_type': 'RFM'}, 'optimizer_class': 'Adam', 'optimizer': {'lr': 0.0003, 'weight_decay': 0.0001, 'betas': (0.9, 0.999), 'momentum': None, 'eps': 1e-08}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 500, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS23: 'brats23'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 20, 'patch_size': 80, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'use_recon_loss': True, 'use_reg_loss': True, 'use_ana_contrastive': True, 'use_mod_contrastive': True, 'regularization_alpha': 0.1, 'anatomy_contrastive_method': 'ssim', '_wandb': {}}
|
| 9 |
+
2026-07-20 08:08:20,832 INFO MainThread:561849 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-07-20 08:08:21,202 INFO MainThread:561849 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-07-20 08:08:23,184 INFO MainThread:561849 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-07-20 08:08:23,187 INFO MainThread:561849 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-07-20 08:08:23,239 INFO MainThread:561849 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-07-20 08:08:23,691 INFO MainThread:561849 [wandb_init.py:init():1051] run resumed
|
| 15 |
+
2026-07-20 08:08:23,695 INFO MainThread:561849 [wandb_init.py:init():1056] starting run threads in backend
|
| 16 |
+
2026-07-20 08:08:24,092 INFO MainThread:561849 [wandb_run.py:_console_start():2554] atexit reg
|
| 17 |
+
2026-07-20 08:08:24,092 INFO MainThread:561849 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 18 |
+
2026-07-20 08:08:24,092 INFO MainThread:561849 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 19 |
+
2026-07-20 08:08:24,092 INFO MainThread:561849 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 20 |
+
2026-07-20 08:08:24,098 INFO MainThread:561849 [wandb_init.py:init():1094] run started, returning control to user process
|
imfuse18_fold1/wandb/run-20260710_165014-eers4akr/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
+
nvidia-nccl-cu12==2.27.5
|
| 6 |
+
regex==2026.6.28
|
| 7 |
+
ml_dtypes==0.5.4
|
| 8 |
+
simpleitk==2.5.4
|
| 9 |
+
kiwisolver==1.5.0
|
| 10 |
+
idna==3.13
|
| 11 |
+
annotated-types==0.7.0
|
| 12 |
+
nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
+
cycler==0.12.1
|
| 14 |
+
ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
+
Jinja2==3.1.6
|
| 29 |
+
dynamic_network_architectures==0.4.3
|
| 30 |
+
contourpy==1.3.3
|
| 31 |
+
pydantic_core==2.46.3
|
| 32 |
+
nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
+
GitPython==3.1.49
|
| 35 |
+
gitdb==4.0.12
|
| 36 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 37 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
+
z3-solver==4.15.4.0
|
| 39 |
+
nvidia-nvtx-cu12==12.8.90
|
| 40 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 42 |
+
httpcore==1.0.9
|
| 43 |
+
cuda-python==13.3.1
|
| 44 |
+
MiMoSe==0.0.2
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 46 |
+
nodeocc==1.0.26
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
timm==1.0.22
|
| 49 |
+
charset-normalizer==3.4.7
|
| 50 |
+
thop==0.1.1-2209072238
|
| 51 |
+
shellingham==1.5.4
|
| 52 |
+
threadpoolctl==3.6.0
|
| 53 |
+
anyio==4.13.0
|
| 54 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
+
smmap==5.0.3
|
| 56 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
+
nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
+
typer==0.25.0
|
| 59 |
+
typing_extensions==4.15.0
|
| 60 |
+
causal-conv1d==1.6.2.post1
|
| 61 |
+
requests==2.33.1
|
| 62 |
+
mamba-ssm==2.3.2.post1
|
| 63 |
+
psutil==7.2.2
|
| 64 |
+
filelock==3.29.0
|
| 65 |
+
httpx==0.28.1
|
| 66 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
urllib3==2.6.3
|
| 69 |
+
h11==0.16.0
|
| 70 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 71 |
+
pyparsing==3.3.2
|
| 72 |
+
annotated-doc==0.0.4
|
| 73 |
+
hf-xet==1.4.3
|
| 74 |
+
cuda-pathfinder==1.5.6
|
| 75 |
+
platformdirs==4.9.6
|
| 76 |
+
MedPy==0.5.2
|
| 77 |
+
einops==0.8.2
|
| 78 |
+
wheel==0.47.0
|
| 79 |
+
tqdm==4.67.3
|
| 80 |
+
h5py==3.16.0
|
| 81 |
+
protobuf==6.33.6
|
| 82 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
+
fsspec==2026.4.0
|
| 84 |
+
ttkbootstrap==1.20.2
|
| 85 |
+
nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
+
mpmath==1.3.0
|
| 87 |
+
rich==15.0.0
|
| 88 |
+
pillow==12.2.0
|
| 89 |
+
cuda-bindings==13.3.1
|
| 90 |
+
quack-kernels==0.6.0
|
| 91 |
+
prompt_toolkit==3.0.52
|
| 92 |
+
joblib==1.5.3
|
| 93 |
+
pydantic==2.13.3
|
| 94 |
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nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
+
openpyxl==3.1.5
|
| 96 |
+
huggingface_hub==1.13.0
|
| 97 |
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torchvision==0.24.1
|
| 98 |
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sentry-sdk==2.58.0
|
| 99 |
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cuda-core==1.0.1
|
| 100 |
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apache-tvm-ffi==0.1.9
|
| 101 |
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wandb==0.26.1
|
| 102 |
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fonttools==4.62.1
|
| 103 |
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Pygments==2.20.0
|
| 104 |
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triton==3.5.1
|
| 105 |
+
setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
+
matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
+
scikit-learn==1.8.0
|
| 110 |
+
scipy==1.17.1
|
| 111 |
+
pandas==3.0.2
|
| 112 |
+
sympy==1.14.0
|
| 113 |
+
transformers==5.12.1
|
| 114 |
+
tilelang==0.1.8
|
| 115 |
+
torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
+
iniconfig==2.3.0
|
| 118 |
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pluggy==1.6.0
|
| 119 |
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ruff==0.15.12
|
| 120 |
+
librt==0.9.0
|
| 121 |
+
pathspec==1.1.1
|
| 122 |
+
pytest==9.0.3
|
| 123 |
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mypy==1.20.2
|
| 124 |
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MiMoSe==0.0.2
|
imfuse18_fold1/wandb/run-20260710_165014-eers4akr/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-181-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.12.13",
|
| 4 |
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"startedAt": "2026-07-10T16:50:14.811751Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"train",
|
| 7 |
+
"--config",
|
| 8 |
+
"imfuse_18.yaml",
|
| 9 |
+
"--fold",
|
| 10 |
+
"1",
|
| 11 |
+
"--run-suffix",
|
| 12 |
+
"fold1",
|
| 13 |
+
"--seed",
|
| 14 |
+
"0",
|
| 15 |
+
"--try-resume"
|
| 16 |
+
],
|
| 17 |
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"program": "/homes/ocarpentiero/MiMoSe/.venv/bin/mimose",
|
| 18 |
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"codePath": ".venv/bin/mimose",
|
| 19 |
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"codePathLocal": ".venv/bin/mimose",
|
| 20 |
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"git": {
|
| 21 |
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"remote": "https://github.com/AImageLab-zip/IM-Fuse.git",
|
| 22 |
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"commit": "e46b66f7f11297b665f08beb875e1f5b08a6e6a1"
|
| 23 |
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},
|
| 24 |
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"root": "/work/phd_mimose/runs/imfuse18_fold1",
|
| 25 |
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"host": "dracula",
|
| 26 |
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"executable": "/homes/ocarpentiero/MiMoSe/.venv/bin/python3",
|
| 27 |
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"cpu_count": 40,
|
| 28 |
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"cpu_count_logical": 80,
|
| 29 |
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"gpu": "NVIDIA L40S",
|
| 30 |
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|
| 31 |
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"disk": {
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| 32 |
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| 41 |
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| 42 |
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"cudaCores": 18176,
|
| 45 |
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"architecture": "Ada",
|
| 46 |
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"uuid": "GPU-2712d05b-b5ce-c533-53ea-4bd7d0e31cf7"
|
| 47 |
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}
|
| 48 |
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],
|
| 49 |
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"cudaVersion": "13.2",
|
| 50 |
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"slurm": {
|
| 51 |
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"cluster_name": "aimagelab",
|
| 52 |
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"conf": "/etc/slurm/slurm.conf",
|
| 53 |
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"cpus_on_node": "8",
|
| 54 |
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"cpus_per_task": "8",
|
| 55 |
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"gpus_on_node": "1",
|
| 56 |
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"gtids": "0",
|
| 57 |
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"job_account": "phd_mimose",
|
| 58 |
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"job_cpus_per_node": "8",
|
| 59 |
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"job_dependency": "singleton",
|
| 60 |
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"job_end_time": "1783788542",
|
| 61 |
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"job_gid": "502",
|
| 62 |
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"job_gpus": "0",
|
| 63 |
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"job_id": "63412",
|
| 64 |
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"job_name": "IM_FUSO18_FOLD_1",
|
| 65 |
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"job_nodelist": "dracula",
|
| 66 |
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"job_num_nodes": "1",
|
| 67 |
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"job_partition": "boost_usr_prod",
|
| 68 |
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"job_qos": "normal",
|
| 69 |
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"job_start_time": "1783702142",
|
| 70 |
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"job_uid": "92375",
|
| 71 |
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"job_user": "ocarpentiero",
|
| 72 |
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"jobid": "63412",
|
| 73 |
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"localid": "0",
|
| 74 |
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"mem_per_node": "102400",
|
| 75 |
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"nnodes": "1",
|
| 76 |
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"nodeid": "0",
|
| 77 |
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"nodelist": "dracula",
|
| 78 |
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"nprocs": "1",
|
| 79 |
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"ntasks": "1",
|
| 80 |
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"oom_kill_step": "0",
|
| 81 |
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"prio_process": "0",
|
| 82 |
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"procid": "0",
|
| 83 |
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"submit_dir": "/homes/ocarpentiero/MiMoSe/sbatch_files",
|
| 84 |
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"submit_host": "ailb-login-02",
|
| 85 |
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"task_pid": "2630934",
|
| 86 |
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"tasks_per_node": "1",
|
| 87 |
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"topology_addr": "dracula",
|
| 88 |
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"topology_addr_pattern": "node",
|
| 89 |
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"tres_per_task": "cpu=8"
|
| 90 |
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},
|
| 91 |
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"writerId": "f6vq5n68db5icav06tbd65gn09rpaawb"
|
| 92 |
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}
|
imfuse18_fold1/wandb/run-20260710_165014-eers4akr/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
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|
|
|
imfuse18_fold1/wandb/run-20260710_165014-eers4akr/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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| 1 |
+
2026-07-10 16:50:15,116 INFO MainThread:2630937 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-07-10 16:50:15,117 INFO MainThread:2630937 [wandb_setup.py:_flush():81] Configure stats pid to 2630937
|
| 3 |
+
2026-07-10 16:50:15,117 INFO MainThread:2630937 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-07-10 16:50:15,118 INFO MainThread:2630937 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /work/phd_mimose/runs/imfuse18_fold1/wandb/run-20260710_165014-eers4akr/logs/debug.log
|
| 5 |
+
2026-07-10 16:50:15,120 INFO MainThread:2630937 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /work/phd_mimose/runs/imfuse18_fold1/wandb/run-20260710_165014-eers4akr/logs/debug-internal.log
|
| 6 |
+
2026-07-10 16:50:15,120 INFO MainThread:2630937 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-07-10 16:50:15,120 INFO MainThread:2630937 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'input_dir': '/work/phd_mimose/imfuse-preprocessed', 'output_dir': '/work/phd_mimose/runs/imfuse18_fold1', 'num_epochs': 1000, 'validation_every': 10, 'batch_size': 2, 'num_workers': 8, 'fp16': False, 'compile': False, 'seed': 0, 'custom_trainer_kwargs': {'iter_per_epoch': None, 'region_fusion_start_epoch': 0, 'patch_size': 128, 'debug': False, 'transform_kind': 'imfuse', 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', 'fold': 1}, 'model_class': 'IMFuse', 'model_kwargs': {'interleaved_tokenization': True, 'mamba_skip': True, 'num_cls': 4}, 'optimizer_class': 'RAdam', 'optimizer': {'lr': 0.0004, 'weight_decay': 3e-05, 'betas': (0.9, 0.999), 'momentum': None, 'eps': 1e-08}, 'loss_class': 'IMFuseLoss', 'loss_kwargs': {'num_classes': None, 'fuse_weight': 1.0, 'sep_weight': 1.0, 'prm_weight': 1.0, 'eps': 0.001, 'log_clamp_min': 0.005}, 'scheduler_class': 'PolynomialLR', 'scheduler_kwargs': {'total_iters': 1000, 'power': 0.9}, 'push_to_hf': True, 'hf_repo': 'AImageLab-Zip/MiMoSe', 'dataset_type': <DatasetType.BRATS18: 'brats18'>, 'iter_per_epoch': None, 'region_fusion_start_epoch': 0, 'patch_size': 128, 'debug': False, 'train_masking_mode': <MaskingMode.RANDOM: 'random'>, 'val_masking_mode': <MaskingMode.VALIDATION: 'validation'>, 'split_file': '/homes/ocarpentiero/MiMoSe/src/mimose/data/splits/splits_5fold.json', '_wandb': {}}
|
| 9 |
+
2026-07-10 16:50:15,120 INFO MainThread:2630937 [wandb_init.py:init():898] starting backend
|
| 10 |
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2026-07-10 16:50:15,584 INFO MainThread:2630937 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
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2026-07-10 16:50:16,025 INFO MainThread:2630937 [wandb_init.py:init():918] backend started and connected
|
| 12 |
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2026-07-10 16:50:16,028 INFO MainThread:2630937 [wandb_init.py:init():988] updated telemetry
|
| 13 |
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2026-07-10 16:50:16,103 INFO MainThread:2630937 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
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2026-07-10 16:50:17,161 INFO MainThread:2630937 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
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2026-07-10 16:50:17,531 INFO MainThread:2630937 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
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2026-07-10 16:50:17,531 INFO MainThread:2630937 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
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2026-07-10 16:50:17,531 INFO MainThread:2630937 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
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2026-07-10 16:50:17,531 INFO MainThread:2630937 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
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2026-07-10 16:50:17,541 INFO MainThread:2630937 [wandb_init.py:init():1094] run started, returning control to user process
|
imfuse18_fold1/wandb/run-20260711_173639-eers4akr/files/requirements.txt
ADDED
|
@@ -0,0 +1,124 @@
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
six==1.17.0
|
| 2 |
+
nvidia-cutlass-dsl==4.6.0
|
| 3 |
+
et_xmlfile==2.0.0
|
| 4 |
+
certifi==2026.4.22
|
| 5 |
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nvidia-nccl-cu12==2.27.5
|
| 6 |
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regex==2026.6.28
|
| 7 |
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ml_dtypes==0.5.4
|
| 8 |
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simpleitk==2.5.4
|
| 9 |
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kiwisolver==1.5.0
|
| 10 |
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idna==3.13
|
| 11 |
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annotated-types==0.7.0
|
| 12 |
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nvidia-cutlass-dsl-libs-cu12==4.6.0
|
| 13 |
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cycler==0.12.1
|
| 14 |
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ptflops==0.7.5
|
| 15 |
+
typing-inspection==0.4.2
|
| 16 |
+
ninja==1.13.0
|
| 17 |
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nvidia-cufile-cu12==1.13.1.3
|
| 18 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
python-dateutil==2.9.0.post0
|
| 21 |
+
tokenizers==0.22.2
|
| 22 |
+
packaging==26.2
|
| 23 |
+
wcwidth==0.6.0
|
| 24 |
+
safetensors==0.7.0
|
| 25 |
+
torch_c_dlpack_ext==0.1.5
|
| 26 |
+
mdurl==0.1.2
|
| 27 |
+
click==8.3.3
|
| 28 |
+
Jinja2==3.1.6
|
| 29 |
+
dynamic_network_architectures==0.4.3
|
| 30 |
+
contourpy==1.3.3
|
| 31 |
+
pydantic_core==2.46.3
|
| 32 |
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nvidia-curand-cu12==10.3.9.90
|
| 33 |
+
PyYAML==6.0.3
|
| 34 |
+
GitPython==3.1.49
|
| 35 |
+
gitdb==4.0.12
|
| 36 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 37 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 38 |
+
z3-solver==4.15.4.0
|
| 39 |
+
nvidia-nvtx-cu12==12.8.90
|
| 40 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 41 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 42 |
+
httpcore==1.0.9
|
| 43 |
+
cuda-python==13.3.1
|
| 44 |
+
MiMoSe==0.0.2
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 46 |
+
nodeocc==1.0.26
|
| 47 |
+
MarkupSafe==3.0.3
|
| 48 |
+
timm==1.0.22
|
| 49 |
+
charset-normalizer==3.4.7
|
| 50 |
+
thop==0.1.1-2209072238
|
| 51 |
+
shellingham==1.5.4
|
| 52 |
+
threadpoolctl==3.6.0
|
| 53 |
+
anyio==4.13.0
|
| 54 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 55 |
+
smmap==5.0.3
|
| 56 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 57 |
+
nvidia-cuda-nvdisasm==13.3.73
|
| 58 |
+
typer==0.25.0
|
| 59 |
+
typing_extensions==4.15.0
|
| 60 |
+
causal-conv1d==1.6.2.post1
|
| 61 |
+
requests==2.33.1
|
| 62 |
+
mamba-ssm==2.3.2.post1
|
| 63 |
+
psutil==7.2.2
|
| 64 |
+
filelock==3.29.0
|
| 65 |
+
httpx==0.28.1
|
| 66 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
urllib3==2.6.3
|
| 69 |
+
h11==0.16.0
|
| 70 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 71 |
+
pyparsing==3.3.2
|
| 72 |
+
annotated-doc==0.0.4
|
| 73 |
+
hf-xet==1.4.3
|
| 74 |
+
cuda-pathfinder==1.5.6
|
| 75 |
+
platformdirs==4.9.6
|
| 76 |
+
MedPy==0.5.2
|
| 77 |
+
einops==0.8.2
|
| 78 |
+
wheel==0.47.0
|
| 79 |
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tqdm==4.67.3
|
| 80 |
+
h5py==3.16.0
|
| 81 |
+
protobuf==6.33.6
|
| 82 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 83 |
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fsspec==2026.4.0
|
| 84 |
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ttkbootstrap==1.20.2
|
| 85 |
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nvidia-cutlass-dsl-libs-base==4.6.0
|
| 86 |
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mpmath==1.3.0
|
| 87 |
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rich==15.0.0
|
| 88 |
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pillow==12.2.0
|
| 89 |
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cuda-bindings==13.3.1
|
| 90 |
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quack-kernels==0.6.0
|
| 91 |
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prompt_toolkit==3.0.52
|
| 92 |
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joblib==1.5.3
|
| 93 |
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pydantic==2.13.3
|
| 94 |
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nvidia-cutlass-dsl-libs-core==4.6.0
|
| 95 |
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openpyxl==3.1.5
|
| 96 |
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huggingface_hub==1.13.0
|
| 97 |
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torchvision==0.24.1
|
| 98 |
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sentry-sdk==2.58.0
|
| 99 |
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cuda-core==1.0.1
|
| 100 |
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apache-tvm-ffi==0.1.9
|
| 101 |
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wandb==0.26.1
|
| 102 |
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fonttools==4.62.1
|
| 103 |
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Pygments==2.20.0
|
| 104 |
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triton==3.5.1
|
| 105 |
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setuptools==82.0.1
|
| 106 |
+
networkx==3.6.1
|
| 107 |
+
matplotlib==3.10.9
|
| 108 |
+
numpy==2.4.4
|
| 109 |
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scikit-learn==1.8.0
|
| 110 |
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scipy==1.17.1
|
| 111 |
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pandas==3.0.2
|
| 112 |
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sympy==1.14.0
|
| 113 |
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transformers==5.12.1
|
| 114 |
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tilelang==0.1.8
|
| 115 |
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torch==2.9.1
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
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iniconfig==2.3.0
|
| 118 |
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pluggy==1.6.0
|
| 119 |
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ruff==0.15.12
|
| 120 |
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librt==0.9.0
|
| 121 |
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pathspec==1.1.1
|
| 122 |
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pytest==9.0.3
|
| 123 |
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mypy==1.20.2
|
| 124 |
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MiMoSe==0.0.2
|