I want to train context-net on the librispeech dataset. Here is my training script located in openspeech/scripts: (First time I set dataset.dataset_download=True to download the dataset).
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line
69, in _wrap
fn(i, *args)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/strategies/launchers
/multiprocessing.py", line 139, in _wrapping_function
results = function(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py",
line 645, in _fit_impl
self._run(model, ckpt_path=self.ckpt_path)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py",
line 1098, in _run
results = self._run_stage() File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py",
line 1177, in _run_stage
self._run_train()
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py",
line 1190, in _run_train self._run_sanity_check()
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py",
line 1262, in _run_sanity_check
val_loop.run()
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/loops/loop.py", line
199, in run
self.advance(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/loops/dataloader/eva
luation_loop.py", line 152, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/loops/loop.py", line
199, in run
self.advance(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/evaluati
on_epoch_loop.py", line 137, in advance
output = self._evaluation_step(**kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/evaluati
on_epoch_loop.py", line 234, in _evaluation_step
output = self.trainer._call_strategy_hook(hook_name, *kwargs.values())
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py",
line 1480, in _call_strategy_hook
output = fn(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/strategies/ddp_spawn
.py", line 288, in validation_step
return self.model(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", lin
e 1156, in forward
output = self._run_ddp_forward(*inputs, **kwargs) File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", lin
e 1110, in _run_ddp_forward
return module_to_run(*inputs[0], **kwargs[0]) # type: ignore[index]
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501
, in _call_impl
return forward_call(*args, **kwargs)
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/pytorch_lightning/overrides/base.py",
line 110, in forward
return self._forward_module.validation_step(*inputs, **kwargs)
File "/home/mnt/cftao/openspeech/openspeech/models/contextnet/model.py", line 133, in validation_step
return self.collect_outputs(
File "/home/mnt/cftao/openspeech/openspeech/models/openspeech_ctc_model.py", line 73, in collect_outputs
loss = self.criterion(
File "/home/mnt/cftao/anaconda3/envs/speech/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501
, in _call_impl
return forward_call(*args, **kwargs)
TypeError: forward() got an unexpected keyword argument 'log_probs'
Environment info
Information
I want to train context-net on the librispeech dataset. Here is my training script located in
openspeech/scripts
: (First time I set dataset.dataset_download=True to download the dataset).It returns
How to solve this problem? Thanks.