Backend extensibility

PyTorch Developer Podcast

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محتوای ارائه شده توسط PyTorch, Edward Yang, and Team PyTorch. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط PyTorch, Edward Yang, and Team PyTorch یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

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What's the current state of backend extensibility? How did PyTorch evolve from being a CPU and CUDA only framework to also support AMD ROCm and XLA? What are some problems with adding an out-of-tree backend, and what's some work to make it better?

Further reading:

Script for HIPifying PyTorch's source when enabling ROCm https://github.com/pytorch/pytorch/blob/master/tools/amd_build/build_amd.py
PyTorch/XLA https://github.com/pytorch/xla/
Brian Hirsh's spec on what out-of-tree backend codegen looks like https://github.com/pytorch/xla/issues/2871

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#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

Backend extensibility

PyTorch Developer Podcast

32 subscribers

published ۴ سال پیش

اشتراک گذاری

MP3•خانه قسمت

Further reading:

Script for HIPifying PyTorch's source when enabling ROCm https://github.com/pytorch/pytorch/blob/master/tools/amd_build/build_amd.py
PyTorch/XLA https://github.com/pytorch/xla/
Brian Hirsh's spec on what out-of-tree backend codegen looks like https://github.com/pytorch/xla/issues/2871

83 قسمت

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

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