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@helloyongyang helloyongyang merged commit fb4a007 into main Feb 10, 2026
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@helloyongyang helloyongyang deleted the fix/recover_scheduler branch February 10, 2026 10:56
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Summary of Changes

Hello @wangshankun, 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 focuses on enhancing the scheduler within the lightx2v model. It introduces the initialization of infer_steps and caching_records to ensure the scheduler can properly recover and maintain state during the inference process. This change aims to improve the reliability and stability of the model's inference steps.

Highlights

  • Scheduler Recovery: This PR initializes infer_steps and caching_records in the scheduler to recover the scheduler's inference process.

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Changelog
  • scheduler.py
    • Initialized infer_steps and caching_records.
Activity
  • The author, wangshankun, has made changes to the scheduler.py file to initialize infer_steps and caching_records.
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Code Review

This pull request adds the infer_steps and caching_records attributes to the BaseScheduler, which appears to be a necessary fix. My review includes a suggestion to add validation for the infer_steps configuration value to improve the code's robustness against invalid inputs, ensuring it is always a positive integer.

Comment on lines +9 to +10
self.infer_steps = config["infer_steps"]
self.caching_records = [True] * config["infer_steps"]
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medium

For improved robustness, it's good practice to validate configuration values. This change uses config.get() to safely retrieve infer_steps and adds validation to ensure it's a positive integer. This prevents potential KeyError exceptions for missing keys and handles invalid values like zero, negative numbers, or non-integers, making the scheduler more resilient to configuration errors.

Suggested change
self.infer_steps = config["infer_steps"]
self.caching_records = [True] * config["infer_steps"]
self.infer_steps = config.get("infer_steps")
if not isinstance(self.infer_steps, int) or self.infer_steps <= 0:
raise ValueError(f"'infer_steps' must be a positive integer, but got {self.infer_steps!r}")
self.caching_records = [True] * self.infer_steps

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