The speaker-change-detection's discuss from hhousen

TypeError: cannot pickle '_thread.RLock' object

Hi, thanks for your code.
But I got error when run the code.
I setup the AMI dataset by AMI-diarization-setup and didn't change any code.
Run python train.py and got following error messages:

GPU available: True, used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
Traceback (most recent call last):
  File "train.py", line 41, in <module>
    trainer.fit(model, datamodule=dm)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 770, in fit
    self._call_and_handle_interrupt(
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 721, in _call_and_handle_interrupt
    return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, **kwargs)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/site-packages/pytorch_lightning/strategies/launchers/spawn.py", line 78, in launch
    mp.spawn(
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 240, in spawn
    return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 189, in start_processes
    process.start()
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/multiprocessing/context.py", line 284, in _Popen
    return Popen(process_obj)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch
    reduction.dump(process_obj, fp)
  File "/home/trainer/miniconda3/envs/ulypy38/lib/python3.8/multiprocessing/reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_thread.RLock' object

Please help me to solve this problem.
Thank you.

Problem with auroc classifier constructor

I got the following error when running train.py

Traceback (most recent call last):
  File "c:\Users\USER\speaker-change-detection\train.py", line 24, in <module>
    model = SSCDModel(batch_size=BATCH_SIZE, scd=DO_SCD, use_transformer=False)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "c:\Users\USER\speaker-change-detection\model.py", line 94, in __init__
    AUROC(
  File "C:\Users\USER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torchmetrics\classification\auroc.py", line 370, in __new__
    raise ValueError(
ValueError: Expected argument `task` to either be `'binary'`, `'multiclass'` or `'multilabel'` but got 293

When clicking on the error line I found the following code:

AUROC(
                    self.num_frames if self.scd else self.num_classes,
                    pos_label=1,
                    average="macro",
                    compute_on_step=False,
                ),

and the AUROC constructor requires 'task' parameter which must be one of ["binary", "multiclass", "multilabel"]

hhousen / speaker-change-detection Goto Github PK

speaker-change-detection's Issues

can you provice the "short_scd_bigdata.ckpt"?

TypeError: cannot pickle '_thread.RLock' object

Problem with auroc classifier constructor

can you provide short_scd_bigdata.ckpt ?

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