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Jul 25, 2024
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Add Intel GPU prototype feature to PT2.4 release blog #1690

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7 changes: 7 additions & 0 deletions _posts/2024-07-24-pytorch2-4.md
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Expand Up @@ -105,6 +105,13 @@ Pipeline Parallelism is one of the primitive parallelism techniques for deep lea

For more information on this please refer to our [documentation](https://pytorch.org/docs/main/distributed.pipelining.html) and [tutorial](https://pytorch.org/tutorials/intermediate/pipelining_tutorial.html).

### [PROTOTYPE] Intel GPU is available through source build

Intel GPU in PyTorch on Linux systems offers fundamental functionalities on Intel® Data Center GPU Max Series: eager mode and torch.compile.

For eager mode, the commonly used Aten operators are implemented by using SYCL programming language. The most performance-critical graphs and operators are highly optimized by using oneAPI Deep Neural Network (oneDNN). For torch.compile mode, Intel GPU backend is integrated to Inductor on top of Triton.

For more information for Intel GPU source build please refer to our [blog post](https://www.intel.com/content/www/us/en/developer/articles/technical/pytorch-2-4-supports-gpus-accelerate-ai-workloads.html) and [documentation](https://pytorch.org/docs/main/notes/get_start_xpu.html).

## Performance Improvements

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