FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention
In theory, Attention is All You Need. In practice, however, we also need optimized attention implementations like FlashAttention. Although these fused attention implementations have substantially improved performance and enabled long contexts, this efficiency has come with a loss of flexibility. You can no longer try out a new attention variant by writing a few PyTorch operators - you often need t
Accelerating Generative AI with PyTorch II: GPT, Fast
by Team PyTorch This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of newly released PyTorch performance features alongside practical examples to see how far we can push PyTorch native performance. In part one, we showed how to accelerate Segment Anything over 8x using only pure, native
PyTorch 2.0: Our next generation release that is faster, more Pythonic and Dynamic as ever
*To see a full list of public 2.0, 1.13 and 1.12 feature submissions click here. Stable Features [Stable] Accelerated PyTorch 2 Transformers The PyTorch 2.0 release includes a new high-performance implementation of the PyTorch Transformer API. In releasing Accelerated PT2 Transformers, our goal is to make training and deployment of state-of-the-art Transformer models affordable across the industry
PyTorch 1.10 Release, including CUDA Graphs APIs, Frontend and Compiler Improvements
by Team PyTorch We are excited to announce the release of PyTorch 1.10. This release is composed of over 3,400 commits since 1.9, made by 426 contributors. We want to sincerely thank our community for continuously improving PyTorch. PyTorch 1.10 updates are focused on improving training and performance of PyTorch, and developer usability. The full release notes are available here. Highlights inclu
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Accelerating Generative AI with PyTorch II: GPT, Fast
Welcome to the ExecuTorch Documentation — ExecuTorch documentation
Performance Tuning Guide — PyTorch Tutorials 2.4.0+cu121 documentation
