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PyTorch 1.8 Released With AMD ROCm Binaries

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  • #21
    Originally posted by Qaridarium
    i know you are not but really man you sound a little bit paranoid at this point...
    Nah, just curious.

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    • #22
      Originally posted by bridgman View Post
      AFAIK tensorflow support for ROCm has been upstream for over a year now, with regular builds off the upstream source code.



      The "tensorflow-rocm" repo is now called "tensorflow-upstream" and used for ongoing development. We do build "tensorflow-rocm" docker images, however.

      Pytorch upstream support is relatively new though.
      Nice!

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      • #23
        Originally posted by coder View Post
        Nah, just curious.
        It's fun seeing patterns in things.

        ...

        Broader support for hardware on these things are always good.

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        • #24
          Originally posted by plinkyplonky View Post
          I wasn't sure whether to go with Tensorflow or PyTorch. I hope that PyTorch supports AGPUs as well, like the laptop Zen+ CPUs with built-in GPU.
          TensorFlow is slowly dying in the academic community. I would advise against using it, unless you have a very specific reason for it:

          Papers With Code highlights trending Machine Learning research and the code to implement it.

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          • #25
            Originally posted by Sin2x View Post

            TensorFlow is slowly dying in the academic community. I would advise against using it, unless you have a very specific reason for it:

            https://paperswithcode.com/trends
            Oh, that link pokes an open wound with a salt-covered stick. I had great "fun" recently examining some options already available for a particular "AI" task, and more of 11 options, only two had public code.

            Why is TensorFlow losing ground, though? Inferior speed? More difficult to code? I've never used PyTorch, and only tinkered around with TensorFlow...

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            • #26
              Good to see support being added to different frameworks, too bad I still have no idea how to get ROCM to a working state in any distro that isn't the two supported ones. Has there been any news when it comes to packaging it?

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              • #27
                Originally posted by Sin2x View Post
                TensorFlow is slowly dying in the academic community. I would advise against using it, unless you have a very specific reason for it:

                https://paperswithcode.com/trends
                Wow, I'd gotten the sense that PyTorch was becoming more popular, but I didn't realize it was dominating!

                As for caffe2, isn't it part of PyTorch? I guess they're counting only what papers are directly using, but it makes me wonder whether libtorch or PyTorch always use it, or whether it's just an optional backend or something like that.

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