It definitely feels like this is the general research consensus. Have you had troubles deploying with pytorch?
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Novi razgovor
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Why is stylegan2 in tensorflow then? Is it optional to choose framework but pytorch is preferred? Or pytorch for research and tensorflow for production?
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NVIDIA Research is bigger than Applied Deep Learning Research. The stylegan people make their own decisions about what framework to use. But in ADLR, we use PyTorch both for research and production.
Kraj razgovora
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Today, I told a teammate "I could try to explain this neural net idea in English, but I think I can express it better in PyTorch." For better or worse, I have never said that about any other neural net framework.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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It’s made it easier for us to move faster for sure! Though as always there’s a one time cost to the move.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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pytorch is fun indeed, i migrated to it for while, but the i came back to tensorflow aftef the v2.0 release! wonder if i've madr the right decision...
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As a polymath you made the right decision because you now know both.
- Još 2 druga odgovora
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@AetherBio we also standardized on
@PyTorch so far it’s made us more agile and helped us prototype our biological models quickly.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Glad to see, you all agree with me
https://twitter.com/altayphd/status/1082464582801604609 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Čini se da učitavanje traje već neko vrijeme.
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