Commit Graph

6 Commits

Author SHA1 Message Date
SsnL
e982e46de3 Add multiprocessing_context= argument to DataLoader (#22990)
Summary:
Fixes https://github.com/pytorch/pytorch/issues/22131
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22990

Differential Revision: D16539052

Pulled By: colesbury

fbshipit-source-id: b1c48ae2fb54065dd96a67be263254129e02eaa2
2019-07-29 12:58:40 -07:00
Pieter Noordhuis
220ce8046e Binding for prctl(PR_SET_PDEATHSIG) (#14491)
Summary:
If torch.multiprocessing.spawn is used to launch non-daemonic
processes (the default since #14391), the spawned children won't be
automatically terminated when the parent terminates.

On Linux, we can address this by setting PR_SET_PDEATHSIG, which
delivers a configurable signal to child processes when their parent
terminates.

Fixes #14394.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14491

Differential Revision: D13270374

Pulled By: pietern

fbshipit-source-id: 092c9d3c3cea2622c3766b467957bc27a1bd500c
2018-11-29 20:09:19 -08:00
Teng Li
ffbc3905a1 Fixed torch.multiprocessing.spawn for not being able to spawn like dataloader workers (#14391)
Summary:
Should fix: https://github.com/pytorch/pytorch/issues/14390

Now imagenet example works fine with multiprocessing and more than 1 dataloader worker
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14391

Reviewed By: calebho

Differential Revision: D13209800

Pulled By: teng-li

fbshipit-source-id: e8abc0fb38d4436cf3474dcbba0e28f4290e4d29
2018-11-27 12:37:41 -08:00
Teng Li
778e23606b multiprocessing.spawn python version check (#14039)
Summary:
This will be super helpful to the user
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14039

Differential Revision: D13089200

Pulled By: teng-li

fbshipit-source-id: 29e7507bd8fe5a0c58a85c52f976bfca282b4c1b
2018-11-16 18:53:23 -08:00
Pieter Noordhuis
1caa341c68 Add torch.multiprocessing.spawn docs
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/13846

Differential Revision: D13029595

Pulled By: pietern

fbshipit-source-id: b733b00f7070c18535c31801f20e6e717eec7748
2018-11-12 14:39:52 -08:00
Pieter Noordhuis
be424de869 Add torch.multiprocessing.spawn helper (#13518)
Summary:
This helper addresses a common pattern where one spawns N processes to
work on some common task (e.g. parallel preprocessing or multiple
training loops).

A straightforward approach is to use the multiprocessing API directly
and then consecutively call join on the resulting processes.

This pattern breaks down in the face of errors. If one of the
processes terminates with an exception or via some signal, and it is
not the first process that was launched, the join call on the first
process won't be affected. This helper seeks to solve this by waiting
on termination from any of the spawned processes. When any process
terminates with a non-zero exit status, it terminates the remaining
processes, and raises an exception in the parent process. If the
process terminated with an exception, it is propagated to the parent.
If the process terminated via a signal (e.g. SIGINT, SIGSEGV), this is
mentioned in the exception as well.

Requires Python >= 3.4.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13518

Reviewed By: orionr

Differential Revision: D12929045

Pulled By: pietern

fbshipit-source-id: 00df19fa16a568d1e22f37a2ba65677ab0cce3fd
2018-11-06 14:08:37 -08:00