Thanks for visiting The Cell Phone Junkie! I will be taking the time each week to discuss my favorite topic, cell phones. Any feedback is appreciated and welcome. You can email me at: questions (AT) thecellphonejunkie (DOT) com or call: 206-203-3734 Thanks and welcome!
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Asynchronous versus synchronous execution
Manage episode 298430836 series 2921809
Content provided by PyTorch, Edward Yang, and Team PyTorch. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PyTorch, Edward Yang, and Team PyTorch or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
CUDA is asynchronous, CPU is synchronous. Making them play well together can be one of the more thorny and easy to get wrong aspects of the PyTorch API. I talk about why non_blocking is difficult to use correctly, a hypothetical "asynchronous CPU" device which would help smooth over some of the API problems and also why it used to be difficult to implement async CPU (but it's not hard anymore!) At the end, I also briefly talk about how async/sync impedance can also show up in unusual places, namely the CUDA caching allocator.
Further reading.
- CUDA semantics which discuss non_blocking somewhat https://pytorch.org/docs/stable/notes/cuda.html
- Issue requesting async cpu https://github.com/pytorch/pytorch/issues/44343
83 episoade
Distribuie
Manage episode 298430836 series 2921809
Content provided by PyTorch, Edward Yang, and Team PyTorch. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PyTorch, Edward Yang, and Team PyTorch or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
CUDA is asynchronous, CPU is synchronous. Making them play well together can be one of the more thorny and easy to get wrong aspects of the PyTorch API. I talk about why non_blocking is difficult to use correctly, a hypothetical "asynchronous CPU" device which would help smooth over some of the API problems and also why it used to be difficult to implement async CPU (but it's not hard anymore!) At the end, I also briefly talk about how async/sync impedance can also show up in unusual places, namely the CUDA caching allocator.
Further reading.
- CUDA semantics which discuss non_blocking somewhat https://pytorch.org/docs/stable/notes/cuda.html
- Issue requesting async cpu https://github.com/pytorch/pytorch/issues/44343
83 episoade
All episodes
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Similar cu PyTorch Developer Podcast
Thanks for visiting The Cell Phone Junkie! I will be taking the time each week to discuss my favorite topic, cell phones. Any feedback is appreciated and welcome. You can email me at: questions (AT) thecellphonejunkie (DOT) com or call: 206-203-3734 Thanks and welcome!
…
continue reading
1
The Ticket: Discover the Future of Customer Service, Support, and Experience, with Intercom
Intercom
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On The Ticket, you'll hear Intercom's Customer Support team in conversation with the customer service leaders, renowned customer experience thinkers, and influential authors who are shaping the field of customer support. Follow The Ticket to get the weekly episodes and sign up for our twice-monthly newsletter bursting with all the insights, trends, tips, and assets your team needs to embrace the future of customer service. https://www.intercom.com/blog/newsletter 🏠 www.intercom.com
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continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
…
continue reading
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continue reading
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…
continue reading
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…
continue reading
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
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…
continue reading
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