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Enable MoE TP with thunderfx #2611

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Enable MoE TP with thunderfx #2611

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@kshitij12345 kshitij12345 commented Oct 7, 2025 •
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Depends on #2598

Changes

  • Allow nvFuser executor to handle AsyncCollectiveTensor as it may show up when using programs with DTensor.
  • Update nvFuser executor to create separate fusion region (and FusionDefinition) for multi-device and single-device.
  • Update dtensor_mul to correctly handle broadcasting and type promotion.
  • Add dtensor_silu dtensor symbol composed of existing prims.
  • Enable thunderfx path for the distributed test_moe.py.

Generated trace from thunderfx - https://gist.github.com/kshitij12345/c02ecef47a9974216d8350bb0e0db4ca

@kshitij12345 kshitij12345 added the DTensor Issues about DTensor support in Thunder label Oct 7, 2025
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@mruberry mruberry Awaiting requested review from mruberry mruberry will be requested when the pull request is marked ready for review mruberry is a code owner

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