ROCm/flash-attention
Jun 2026 – Jul 2026
2 Months active
Languages Used
No languages
Technical Skills
CUDAMemory ManagementPythonTensor OperationsBackend DevelopmentC++
Yunwei Li
PROFILE
Yunwei Li
Worked on the ROCm/flash-attention repository to address critical memory safety and stability issues in GPU kernels. Focused on backend development using C++, CUDA, and Python, the work involved enforcing full contiguity for input and output tensors in the BlackwellFusedMultiHeadAttentionForward kernel to prevent memory corruption when handling non-contiguous data. Additionally, implemented host-side bounds checks and regression tests for the paged-KV cache path, ensuring out-of-bounds accesses were caught before kernel execution. Enhanced code documentation and collaborated on test coverage to improve debuggability and maintainability, resulting in more robust memory management and safer tensor operations throughout the codebase.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
93
Activity Months2
Your Network
66 peopleWork History
July 2026
1 Commits
Jul 1, 2026July 2026: Stability hardening for the paged-KV cache path in ROCm/flash-attention. Implemented a host-side bounds check to prevent out-of-bounds access in the split-KV kernel, and added a regression test suite to validate safety against sequence length overflows and cache behavior. This work reduces runtime risk and improves debuggability by enforcing a clear caller contract before kernel execution.
1 Commits
Jul 1, 2026July 2026: Stability hardening for the paged-KV cache path in ROCm/flash-attention. Implemented a host-side bounds check to prevent out-of-bounds access in the split-KV kernel, and added a regression test suite to validate safety against sequence length overflows and cache behavior. This work reduces runtime risk and improves debuggability by enforcing a clear caller contract before kernel execution.
July 2026
June 2026
1 Commits
Jun 1, 2026June 2026 monthly summary for ROCm/flash-attention: Delivered a critical memory safety fix for the BlackwellFusedMultiHeadAttentionForward kernel on SM100 GPUs and updated contiguity checks across the forward/backward paths for the hd256 kernel. This ensures that input tensors (q, k, v) and the output are fully contiguous, preventing memory corruption when inputs are non-contiguous (e.g., after transposition). The change preserves performance by guarding against invalid memory accesses while relying on hardcoded strides, and is implemented with explicit contiguity checks in both the forward and backward passes.
June 2026
1 Commits
Jun 1, 2026June 2026 monthly summary for ROCm/flash-attention: Delivered a critical memory safety fix for the BlackwellFusedMultiHeadAttentionForward kernel on SM100 GPUs and updated contiguity checks across the forward/backward paths for the hd256 kernel. This ensures that input tensors (q, k, v) and the output are fully contiguous, preventing memory corruption when inputs are non-contiguous (e.g., after transposition). The change preserves performance by guarding against invalid memory accesses while relying on hardcoded strides, and is implemented with explicit contiguity checks in both the forward and backward passes.
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
No languages yet
Technical Skills
Backend DevelopmentC++CUDAMemory ManagementPyTorchPythonTensor Operations
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