PyTorch 2.4 now supports Intel® Data Center GPU Max Series and the SYCL software stack, making it easier to speed up your AI workflows for both training and inference. This update allows a consistent programming experience with minimal coding effort and extends PyTorch’s device and runtime capabilities, including device, stream, event, generator, allocator, and guard, to seamlessly support streaming devices. This enhancement simplifies deploying PyTorch on ubiquitous hardware, making it easier for you to integrate different hardware back ends.
PyTorch 2.4 using SYCL for Deep Learning on Intel GPUs
PyTorch 2.4 using SYCL for Deep Learning on Intel GPUs