[Cache] Cache Triton Autotune

[zhiyuan1i]

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[gemini-code-assist]

Summary of Changes

Hello @zhiyuan1i, 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 implements a comprehensive caching system for Triton autotune configurations, aiming to optimize kernel performance by reducing the need for repeated autotuning. It introduces a custom autotuner that prioritizes loading pre-saved optimal settings, alongside a utility script for extracting and managing these configurations. The changes also enhance system flexibility through new environment variables, allowing users to customize cache directories and control caching behavior.

Highlights

• Triton Autotune Caching Mechanism: Introduced a CachedAutotuner class that extends Triton's Autotuner. This new class attempts to load pre-computed best configurations for kernels from a custom directory (fla/configs/{GPU}/) before falling back to Triton's default autotuning process, significantly speeding up kernel initialization.
• New Environment Variables for Cache Control: Added several environment variables to provide fine-grained control over the caching behavior: FLA_CONFIG_DIR to override the config directory, FLA_DISABLE_CACHE to force autotuning, FLA_GPU_NAME to override GPU detection, and TRITON_CACHE_DIR to customize Triton's cache location.
• Configuration Extraction Script: A new script (scripts/demo_extract_configs.py) was added to extract best configurations from Triton's autotune cache and save them to the custom fla/configs/{GPU}/ directory. This script also includes logic to synchronize configurations across Hopper architecture GPUs (H100, H800, H20) due to their shared optimal settings.
• Documentation Update: The ENVs.md file has been updated to document the newly introduced environment variables, ensuring users are aware of the new configuration options.

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[gemini-code-assist]

Code Review

This pull request introduces a valuable caching mechanism for Triton autotune configurations, which will improve performance by avoiding redundant tuning. The implementation is well-structured, including the core caching logic, a utility script for extracting configurations, and updated documentation. My review focuses on enhancing GPU support, ensuring configuration consistency, and improving the maintainability of the provided script.

[gemini-code-assist]

Handling command-line arguments by checking sys.argv directly is less robust and clear than using argparse. Consider adding --extract-to-fla-configs as a boolean flag to your ArgumentParser and moving the logic into the main function. This would improve maintainability and provide a consistent command-line interface.