[HF] drop set_seed usage from HF

[mayank31398]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @mayank31398, 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 centralizes the random seed management within the lm_engine project by introducing a custom set_seed function. This change aims to reduce external dependencies by moving seed initialization logic from the transformers library into an internal utility. The new function ensures consistent seed setting across various random number generators, improving control and maintainability of reproducibility settings.

Highlights

• Custom Seed Management: Introduced a new internal set_seed utility function within lm_engine.utils.random to manage random seeds across random, numpy, and torch.
• Dependency Reduction: Replaced all existing usages of transformers.set_seed with the newly implemented internal lm_engine.utils.set_seed function, reducing reliance on the transformers library for this specific utility.
• Code Refactoring: Refactored the instantiation of MegatronBatchSampler in lm_engine/data/megatron/__init__.py to improve code readability and maintainability.

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[gemini-code-assist]

Code Review

This pull request successfully refactors the set_seed functionality by moving its implementation from the transformers library to a new, internal utility module lm_engine/utils/random.py. This change centralizes seed management, reduces external dependencies for a core utility, and improves overall code modularity. The new set_seed function correctly initializes random seeds for random, numpy, and torch (including CUDA), ensuring reproducibility. All affected files have been updated to import the new utility. The changes are well-executed and enhance the project's maintainability.