Adds comprehensive API reference documentation #34
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Provides detailed documentation for the Flash Dynamic Mask Attention API including installation instructions, parameter specifications, usage examples, and troubleshooting guides. Covers all function parameters with type information, constraints, and behavioral descriptions to help developers integrate the CUDA-accelerated attention implementation effectively. Includes practical examples for basic usage, performance optimization tips, and debug mode instructions to support both initial adoption and advanced use cases.
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Pull Request Overview
This PR adds comprehensive API reference documentation for the Flash Dynamic Mask Attention API. The documentation covers installation instructions, detailed parameter descriptions including type information and constraints, practical usage examples, and performance optimization and debug mode guidelines.
Comments suppressed due to low confidence (1)
docs/api_reference.md:194
- The 'Returns' section documents the attention weights as 'p', but in the debug example they are named 'attn_weights'. Consider standardizing the naming convention for clarity.
output, softmax_lse, attn_weights, _ = flash_dma.fwd(
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Provides detailed documentation for the Flash Dynamic Mask Attention API including installation instructions, parameter specifications, usage examples, and troubleshooting guides.
Covers all function parameters with type information, constraints, and behavioral descriptions to help developers integrate the CUDA-accelerated attention implementation effectively.
Includes practical examples for basic usage, performance optimization tips, and debug mode instructions to support both initial adoption and advanced use cases.