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TechHuggingFaceabout 10 hours ago
Profiling PyTorch Attention KernelsA PyTorch profiling series examines attention implementations on an NVIDIA A100 GPU. Naive attention launches 5 GPU kernels per forward pass. Switching to in-place masked_fill_ removes a Memcpy kernel. The SDPA math backend surprisingly launches 20 kernels per forward, more than the naive version.
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