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@Chenyaaang Chenyaaang commented Nov 12, 2025

Description

The implementation for Pipeline Parallelism are splitted into the following small PRs.

This PR is to enable PP on Ray path.

  • The previous behavior of tpu_inference's Ray is to start #num_hosts of ray workers, each worker controls all the devices on that host. The new behavior is to start #PP ray workers, each of the worker controls #TP number of workers.

Tests

E2E test has verified the whole PP implementation works properly.

Checklist

Before submitting this PR, please make sure:

  • I have performed a self-review of my code.
  • I have necessary comments in my code, particularly in hard-to-understand areas.
  • I have made or will make corresponding changes to any relevant documentation.

Signed-off-by: Chenyaaang <[email protected]>
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Description

Start with a short description of what the PR does and how this is a change from
the past.

The rest of the description includes relevant details and context, examples:

  • why is this change being made,
  • the problem being solved and any relevant context,
  • why this is a good solution,
  • some information about the specific implementation,
  • shortcomings of the solution and possible future improvements.

If the change fixes a bug or a Github issue, please include a link, e.g.,:
FIXES: b/123456
FIXES: #123456

Tests

Please describe how you tested this change, and include any instructions and/or
commands to reproduce.

Checklist

Before submitting this PR, please make sure:

  • I have performed a self-review of my code.
  • I have necessary comments in my code, particularly in hard-to-understand areas.
  • I have made or will make corresponding changes to any relevant documentation.

@Chenyaaang Chenyaaang changed the title Enable Pipeline Parallelism on torchax path Enable Pipeline Parallelism on Ray Nov 12, 2025
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2 participants