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Manage episode 330183216 series 2921809
Контент предоставлен PyTorch, Edward Yang, and Team PyTorch. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией PyTorch, Edward Yang, and Team PyTorch или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
Mike Ruberry has an RFC about stride-agnostic operator semantics (https://github.com/pytorch/pytorch/issues/78050), so let's talk about strides. What are they? How are they used to implement views and memory format? How do you handle them properly when writing kernels? In what sense are strides overspecified, and therefore, not worth slavishly reimplementing in a system like PrimTorch? What does Edward think we should do about them?
My blog post that covers strides along with other topics can be found at http://blog.ezyang.com/2019/05/pytorch-internals/
83 эпизодов
Поделиться
Manage episode 330183216 series 2921809
Контент предоставлен PyTorch, Edward Yang, and Team PyTorch. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией PyTorch, Edward Yang, and Team PyTorch или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
Mike Ruberry has an RFC about stride-agnostic operator semantics (https://github.com/pytorch/pytorch/issues/78050), so let's talk about strides. What are they? How are they used to implement views and memory format? How do you handle them properly when writing kernels? In what sense are strides overspecified, and therefore, not worth slavishly reimplementing in a system like PrimTorch? What does Edward think we should do about them?
My blog post that covers strides along with other topics can be found at http://blog.ezyang.com/2019/05/pytorch-internals/
83 эпизодов
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Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Player FM - приложение для подкастов
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