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Timestamps visible
2022-10-11 05:44:23
GPU available: True (cuda), used: True
2022-10-11 05:44:23
TPU available: False, using: 0 TPU cores
2022-10-11 05:44:23
IPU available: False, using: 0 IPUs
2022-10-11 05:44:23
HPU available: False, using: 0 HPUs
2022-10-11 05:44:23
wandb: logging graph, to disable use `wandb.watch(log_graph=False)`
2022-10-11 05:44:33
Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/4
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----------------------------------------------------------------------------------------------------
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distributed_backend=nccl
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All distributed processes registered. Starting with 4 processes
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----------------------------------------------------------------------------------------------------
2022-10-11 05:44:43
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
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  | Name                   | Type             | Params
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------------------------------------------------------------
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0 | conv_stack             | ConvStack        | 1.6 M
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1 | z_linear               | Sequential       | 524 K
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2 | self_attention_block   | ConformerEncoder | 2.6 M
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3 | frame_tab_output_layer | Sequential       | 81.9 K
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4 | softmax_by_string      | Softmax          | 0
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------------------------------------------------------------
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4.8 M     Trainable params
2022-10-11 05:44:43
0         Non-trainable params
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4.8 M     Total params
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19.117    Total estimated model params size (MB)
2022-10-11 05:44:48
Sanity Checking DataLoader 0:   0%|                                                                                                                                                                    | 0/1 [00:00<?, ?it/s]
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Traceback (most recent call last):
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  File "src/train.py", line 63, in <module>
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    main(kwargs)
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  File "src/train.py", line 23, in main
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    step3(kwargs)
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  File "/data/group1/z44543r/vae_separation/src/step3.py", line 191, in step3
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    train(kwargs, use_pretrained_model, pretrained_time, pretrained_epoch, now, test_num, train_data_list,
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  File "/data/group1/z44543r/vae_separation/src/step3.py", line 145, in train
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    trainer.fit(model, train_dataloaders=train_loader,
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 696, in fit
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    self._call_and_handle_interrupt(
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 648, in _call_and_handle_interrupt
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    return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch
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    return function(*args, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 735, in _fit_impl
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    results = self._run(model, ckpt_path=self.ckpt_path)
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  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()
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1252, in _run_stage
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    return self._run_train()
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  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()
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1343, in _run_sanity_check
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    val_loop.run()
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/loop.py", line 200, in run
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    self.advance(*args, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 155, in advance
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    dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/loop.py", line 200, in run
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    self.advance(*args, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 143, in advance
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    output = self._evaluation_step(**kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 240, in _evaluation_step
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    output = self.trainer._call_strategy_hook(hook_name, *kwargs.values())
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1704, in _call_strategy_hook
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    output = fn(*args, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/strategies/ddp.py", line 358, in validation_step
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    return self.model(*args, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
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    return forward_call(*input, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 1008, in forward
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    output = self._run_ddp_forward(*inputs, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 969, in _run_ddp_forward
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    return module_to_run(*inputs[0], **kwargs[0])
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
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    return forward_call(*input, **kwargs)
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  File "/data/group1/z44543r/vae_separation/venv/lib/python3.8/site-packages/pytorch_lightning/overrides/base.py", line 90, in forward
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    return self.module.validation_step(*inputs, **kwargs)
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  File "/data/group1/z44543r/vae_separation/src/models.py", line 647, in validation_step
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    y_hat, mu, logvar = self.forward(x1, x2, ilens)
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  File "/data/group1/z44543r/vae_separation/src/models.py", line 635, in forward
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    return y_hat, mu, logvar
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NameError: name 'mu' is not defined