[Fix] [TRL] load_lora for multi line llm.chat/generate

[Datta0]

This change from trl happened to break our code. The PR aims to fix it

[gemini-code-assist]

Summary of Changes

Hello @Datta0, 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 integration and compatibility between Unsloth and the TRL (Transformer Reinforcement Learning) library. It refines the process of loading LoRA models by improving the regex used for injecting lora_request into llm.chat and llm.generate calls, making it more resilient to code formatting. Additionally, it addresses specific interactions with TRL's reload_weights and wake_up mechanisms, removing redundant or conflicting calls to ensure Unsloth's optimized LoRA handling and memory management operate without interference, particularly within the openenv experimental module.

Highlights

• Improved LoRA Loading Regex: The regular expression used to inject lora_request into self.llm.generate and self.llm.chat calls has been made more robust. It now correctly handles multi-line function calls and variations in whitespace or trailing commas, ensuring load_lora is applied consistently.
• TRL reload_weights Removal: Unnecessary collective_rpc("reload_weights") calls from TRL's _generate_single_turn function and trl.experimental.openenv.utils.generate_rollout_completions have been removed. This prevents conflicts with Unsloth's internal weight management, which handles LoRA loading differently.
• TRL openenv wake_up Fix: The wake_up call within TRL's openenv module has been adjusted from wake_up(tags=["kv_cache"]) to wake_up(). This ensures all necessary components are woken up, preventing double wake_up issues and ensuring compatibility with Unsloth's memory allocator.
• New Patching Mechanism for openenv: A new mechanism, RL_ADDITIONAL_FUNCTIONS, has been introduced to allow for more modular and flexible patching of functions within TRL's openenv module, improving maintainability and extensibility of Unsloth's integrations.

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[gemini-code-assist]

Code Review

This pull request improves the patching mechanism for TRL by updating a regular expression to handle multi-line llm.chat and llm.generate calls. It also introduces new patching capabilities for openenv and adds patches to remove reload_weights calls, which are not needed for Unsloth's LoRA use case.

My review found a critical issue in the construction of the replacement string for the llm.chat/generate patching, which could lead to syntax errors and runtime failures. The rest of the changes look good and are consistent with the project's patching style.