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Summary of Changes

Hello @Jintao-Huang, 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 primarily addresses compatibility concerns by updating a key dependency and adapting the initialization of the SGLang inference engine. It broadens the acceptable version range for the trl library and refactors how the enable_ep_moe parameter is handled during ServerArgs construction, specifically to align with changes introduced in sglang 0.5.3. These changes ensure the system remains functional and robust with updated library versions.

Highlights

  • Dependency Update: The trl library dependency has been updated to allow for versions up to <0.24, expanding compatibility.
  • SGLang Compatibility: The sglang_engine initialization logic has been modified to dynamically check for the enable_ep_moe parameter in ServerArgs's signature, ensuring compatibility with sglang 0.5.3.
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Code Review

This pull request updates the trl dependency and modifies sglang_engine.py to enhance compatibility with sglang 0.5.3. The changes are logical and improve the robustness of the engine's initialization. I have provided one suggestion to refactor a section of the code for improved maintainability.

Comment on lines 74 to +77
if 'pp_size' in parameters:
engine_kwargs['pp_size'] = pp_size
if 'enable_ep_moe' in parameters:
engine_kwargs['enable_ep_moe'] = enable_ep_moe
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medium

To improve code maintainability and reduce repetition, this block can be refactored to handle conditional keyword arguments more generically by iterating over a list of parameter names and their corresponding values.

Suggested change
if 'pp_size' in parameters:
engine_kwargs['pp_size'] = pp_size
if 'enable_ep_moe' in parameters:
engine_kwargs['enable_ep_moe'] = enable_ep_moe
for param, value in [('pp_size', pp_size), ('enable_ep_moe', enable_ep_moe)]:
if param in parameters:
engine_kwargs[param] = value

@Jintao-Huang Jintao-Huang merged commit 0116769 into modelscope:main Oct 9, 2025
1 of 2 checks passed
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3 participants