[Bugfix][Rocm]Aiter MoE re-uses existing tensor addresses after weight update.#40390
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Code Review
This pull request modifies the unquantized fused MoE method to support weight updates by using in-place copies, which helps preserve tensor addresses for CUDA graphs. Review feedback points out that the address preservation is currently incomplete as the caller function still reassigns tensors for ROCm and XPU backends. It is also recommended to avoid using the ".data" attribute and instead call ".copy_()" directly on the parameters for better safety.
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Signed-off-by: Yuankai Chen <yuankach@amd.com>
…hod.py Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Yuankai Chen <yuankach@amd.com>
Signed-off-by: Yuankai Chen <yuankach@amd.com>
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Signed-off-by: Yuankai Chen <yuankach@amd.com>
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@mgoin can I get a write-access approval from you? |
…t update. (vllm-project#40390) Signed-off-by: Yuankai Chen <yuankach@amd.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
…t update. (vllm-project#40390) Signed-off-by: Yuankai Chen <yuankach@amd.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Ifta Khairul Alam Adil <ikaadil007@gmail.com>
…t update. (vllm-project#40390) Signed-off-by: Yuankai Chen <yuankach@amd.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Libin Tang <libin.tang@intel.com>
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…t update. (vllm-project#40390) Signed-off-by: Yuankai Chen <yuankach@amd.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
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The AMD aiter FusedMoE requires model weights be shuffled before use. When using this feature in RL scenario, however, the MoE weights will be re-shuffled time and again whenever a weight update is carried out.
The issue is that the weight shuffle should NOT change the tensor addresses -- otherwise captured CUDA graph will not be able to use the new weights.
The fix in this PR is to preserve the weights' addresses if they already exist.
Purpose
Aiter MoE re-uses existing tensor addresses after weight update.
Test Plan
Test with "export VLLM_ROCM_USE_AITER_MOE=1" in RL setup (e.g. veRL + vLLM, enforce_eager=False).
Test Result
Without the fix, the generated responses are all gibberish. The fix restores the correctness.
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.