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[Misc] Turn MOE_DP_CHUNK_SIZE into an env var #19506
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[Misc] Turn MOE_DP_CHUNK_SIZE into an env var #19506
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Signed-off-by: Varun Sundar Rabindranath <[email protected]>
Signed-off-by: Varun Sundar Rabindranath <[email protected]>
Signed-off-by: Varun Sundar Rabindranath <[email protected]>
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Summary of Changes
Hello @varun-sundar-rabindranath, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces an environment variable (VLLM_MOE_DP_CHUNK_SIZE
) to control the chunk size used in MoE layers when running with Data Parallelism. This change provides flexibility for users to tune performance and manage memory usage (specifically to avoid OOMs) without requiring code modifications, supporting easier experimentation and optimization.
Highlights
- Configurability: The
MOE_DP_CHUNK_SIZE
parameter, which affects the chunking of tokens processed by MoE layers in Data Parallel mode, is now configurable via theVLLM_MOE_DP_CHUNK_SIZE
environment variable. - Code Cleanup: Removed the hardcoded
MOE_DP_CHUNK_SIZE
constant fromvllm/model_executor/layers/fused_moe/layer.py
. - Usage Update: Updated the MoE layer implementation to read the chunk size from the new environment variable definition in
vllm.envs
.
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Code Review
This pull request makes MOE_DP_CHUNK_SIZE
configurable via an environment variable, which is beneficial for performance tuning and OOM prevention in MoE models. The changes are well-implemented by updating vllm.envs
and replacing the hardcoded constant in the MoE layer. Logging for the new configurable value has also been added.
My primary feedback is to suggest adding input validation for VLLM_MOE_DP_CHUNK_SIZE
to ensure it's a positive integer, enhancing robustness against misconfiguration.
Purpose
There is value in being able to try different MOE_DP_CHUNK_SIZE quickly, without code change,
Long-Term : Based on profile runs, set it to a constant-value / calculate at run-time based on profile runs.
Test Plan
Local Testing on H100.
Test Result
Verified that the value set via the env var is being printed correctly in the logs.