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Timestamps visible
2022-10-20 11:10:10
feature_estimator.shape=(376, 192), feature_vae.shape=(376, 192), gt.shape=(376, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(608, 192), feature_vae.shape=(608, 192), gt.shape=(608, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(486, 192), feature_vae.shape=(486, 192), gt.shape=(486, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(318, 192), feature_vae.shape=(318, 192), gt.shape=(318, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(321, 192), feature_vae.shape=(321, 192), gt.shape=(321, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(318, 192), feature_vae.shape=(318, 192), gt.shape=(318, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(221, 192), feature_vae.shape=(221, 192), gt.shape=(221, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(376, 192), feature_vae.shape=(376, 192), gt.shape=(376, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(291, 192), feature_vae.shape=(291, 192), gt.shape=(291, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(321, 192), feature_vae.shape=(321, 192), gt.shape=(321, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(318, 192), feature_vae.shape=(318, 192), gt.shape=(318, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(426, 192), feature_vae.shape=(426, 192), gt.shape=(426, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(302, 192), feature_vae.shape=(302, 192), gt.shape=(302, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(414, 192), feature_vae.shape=(414, 192), gt.shape=(414, 6, 21)
2022-10-20 11:10:10
feature_estimator.shape=(486, 192), feature_vae.shape=(486, 192), gt.shape=(486, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(369, 192), feature_vae.shape=(369, 192), gt.shape=(369, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(383, 192), feature_vae.shape=(383, 192), gt.shape=(383, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(470, 192), feature_vae.shape=(470, 192), gt.shape=(470, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(369, 192), feature_vae.shape=(369, 192), gt.shape=(369, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(363, 192), feature_vae.shape=(363, 192), gt.shape=(363, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(608, 192), feature_vae.shape=(608, 192), gt.shape=(608, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(383, 192), feature_vae.shape=(383, 192), gt.shape=(383, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(301, 192), feature_vae.shape=(301, 192), gt.shape=(301, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(346, 192), feature_vae.shape=(346, 192), gt.shape=(346, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(470, 192), feature_vae.shape=(470, 192), gt.shape=(470, 6, 21)
2022-10-20 11:10:12
feature_estimator.shape=(354, 192), feature_vae.shape=(354, 192), gt.shape=(354, 6, 21)
2022-10-20 11:10:12
batch=[None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None]
2022-10-20 11:10:16
Traceback (most recent call last):
2022-10-20 11:10:16
  File "src/train.py", line 76, in <module>
2022-10-20 11:10:16
    main(kwargs)
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  File "src/train.py", line 26, in main
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    step3(kwargs)
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  File "/data/group1/z44543r/vae_separation/src/step3.py", line 235, in step3
2022-10-20 11:10:16
    train(kwargs, use_pretrained_model, pretrained_time, pretrained_epoch, now, test_num, train_data_list,
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/src/step3.py", line 173, in train
2022-10-20 11:10:16
    trainer.fit(model, train_dataloaders=train_loader,
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 696, in fit
2022-10-20 11:10:16
    self._call_and_handle_interrupt(
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 648, in _call_and_handle_interrupt
2022-10-20 11:10:16
    return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, **kwargs)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch
2022-10-20 11:10:16
    return function(*args, **kwargs)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 735, in _fit_impl
2022-10-20 11:10:16
    results = self._run(model, ckpt_path=self.ckpt_path)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1166, in _run
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    results = self._run_stage()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1252, in _run_stage
2022-10-20 11:10:16
    return self._run_train()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1274, in _run_train
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    self._run_sanity_check()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1343, in _run_sanity_check
2022-10-20 11:10:16
    val_loop.run()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/loop.py", line 200, in run
2022-10-20 11:10:16
    self.advance(*args, **kwargs)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 155, in advance
2022-10-20 11:10:16
    dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/loop.py", line 200, in run
2022-10-20 11:10:16
    self.advance(*args, **kwargs)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 127, in advance
2022-10-20 11:10:16
    batch = next(data_fetcher)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 184, in __next__
2022-10-20 11:10:16
    return self.fetching_function()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 263, in fetching_function
2022-10-20 11:10:16
    self._fetch_next_batch(self.dataloader_iter)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/utilities/fetching.py", line 277, in _fetch_next_batch
2022-10-20 11:10:16
    batch = next(iterator)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 681, in __next__
2022-10-20 11:10:16
    data = self._next_data()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1376, in _next_data
2022-10-20 11:10:16
    return self._process_data(data)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1402, in _process_data
2022-10-20 11:10:16
    data.reraise()
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/_utils.py", line 461, in reraise
2022-10-20 11:10:16
    raise exception
2022-10-20 11:10:16
TypeError: Caught TypeError in DataLoader worker process 0.
2022-10-20 11:10:16
Original Traceback (most recent call last):
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
2022-10-20 11:10:16
    data = fetcher.fetch(index)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
2022-10-20 11:10:16
    return self.collate_fn(data)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/src/step3.py", line 46, in __call__
2022-10-20 11:10:16
    return self.pad_collate(batch)
2022-10-20 11:10:16
  File "/data/group1/z44543r/vae_separation/src/step3.py", line 27, in pad_collate
2022-10-20 11:10:16
    for i, (x1, x2, gt) in enumerate(batch):
2022-10-20 11:10:16
TypeError: cannot unpack non-iterable NoneType object