This pull request introduces an experimental auxiliary output for the FA2 variable-length forward path, allowing users to obtain the sum of absolute attention scores (|scores|) before softmax for each head and token or per page in paged-KV mode. This feature is exposed via the vLLM wrapper and is primarily intended for numerical analysis and debugging. The implementation includes both Python/C++ and CUDA kernel changes to support this auxiliary return.

Feature: Auxiliary abs_s Output for FA2 Varlen Forward (Numerical Analysis/Debugging)

• Added an experimental auxiliary output to FA2 varlen forward, accessible via the vLLM wrapper (flash_attn_varlen_func) by setting return_aux=True. This output provides the sum of absolute pre-softmax attention scores, scaled by 1/sqrt(D), for each head and token (non-paged) or per page (paged-KV).
• Implemented a new C++/CUDA wrapper function varlen_fwd_with_abs_aux in flash_api_torch_lib.cpp, which computes and returns the auxiliary tensor (abs_s) alongside the usual outputs. Registered this function in the PyTorch extension. [1] [2]

Kernel/Parameter Changes for Per-Page Accumulation

• Extended the Flash_fwd_params struct in flash.h to include pointers and stride information for accumulating pre-softmax |S| per page, enabling efficient per-page statistics in the CUDA kernel.
• Added a device-side helper accumulate_abslogits_per_page in flash_fwd_kernel.h to atomically accumulate the absolute values of pre-softmax scores into the provided buffer for each batch, head, query, and page. This is called in all relevant kernel paths. [1] [2] [3] [4]

Developer Experience

• Added .vscode/settings.json to improve code navigation in VSCode by associating certain file types with C++.

Build Configuration

• Updated CMakeLists.txt to allow disabling FA3 via the FLASH_ATTN_DISABLE_FA3 environment variable, improving build flexibility for users who only want FA2.