File: distributed.algorithms.join.rst

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (20 lines) | stat: -rw-r--r-- 725 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
.. role:: hidden
    :class: hidden-section

Generic Join Context Manager
============================
The generic join context manager facilitates distributed training on uneven
inputs. This page outlines the API of the relevant classes: :class:`Join`,
:class:`Joinable`, and :class:`JoinHook`. For a tutorial, see
`Distributed Training with Uneven Inputs Using the Join Context Manager`_.

.. autoclass:: torch.distributed.algorithms.Join
    :members:

.. autoclass:: torch.distributed.algorithms.Joinable
    :members:

.. autoclass:: torch.distributed.algorithms.JoinHook
    :members:

.. _Distributed Training with Uneven Inputs Using the Join Context Manager: https://pytorch.org/tutorials/advanced/generic_join.html