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Comments (6)

elch10 avatar elch10 commented on August 17, 2024

@zhufeijuanjuan did you solve the problem?
I've encountered the same problem

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zhufeijuanjuan avatar zhufeijuanjuan commented on August 17, 2024

@elch10 Not handled yet. Decrease batch size can avoid this issue.

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elch10 avatar elch10 commented on August 17, 2024

Maybe problem with mp.spawn or pytorch installation
I've created new environment with python3.11, pytorch2, because python3.10 has many sigsegv problems in pytorch repository. Then changed this line with

  children = []
  for i in range(n_gpus):
      subproc = mp.Process(target=run, args=(i, n_gpus, hps))
      children.append(subproc)
      subproc.start()

  for i in range(n_gpus):
      children[i].join()

And now there's no errors

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elch10 avatar elch10 commented on August 17, 2024

Also found with python -X faulthandler that there is error in cython monotonic_align. I just rewrite that in numba. It's slightly slower, but works without error

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zhufeijuanjuan avatar zhufeijuanjuan commented on August 17, 2024

@elch10 Respect!!!
so you mean update python, pytorch and rewrite monotonic_align can solve this issue?

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elch10 avatar elch10 commented on August 17, 2024

Yeah, of course, no errors

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