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PyTorch 1.8 Released With AMD ROCm Binaries

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  • PyTorch 1.8 Released With AMD ROCm Binaries

    Phoronix: PyTorch 1.8 Released With AMD ROCm Binaries

    PyTorch 1.8 was released on Thursday as the newest version of this widely-used machine learning library. Exciting many will be easier AMD Radeon ROCm support with Python wheels now provided for that Radeon Open eCosystem support...

    http://www.phoronix.com/scan.php?pag...h-1.8-Released

  • #2
    Finally official Radeon support

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    • #3
      The AMD support is really huge! I hope, this will be a game changer in the AI market!

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      • #4
        Do you have the means to get some benchmarks against NVIDIA for the new ROCm binaries? This is exciting.

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        • #5
          Can we see some benchmarks on this? If its even remotely competitive with CUDA solutions (i.e. within say 80 - 90%) this will be a huge game changer as Radeon tends to be quite a bit cheaper for their performance.

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          • #6
            Originally posted by zexelon View Post
            Can we see some benchmarks on this? If its even remotely competitive with CUDA solutions (i.e. within say 80 - 90%) this will be a huge game changer as Radeon tends to be quite a bit cheaper for their performance.
            AFAIK, he lacks a MI100 and that's the only AMD GPU with Matrix Cores. Otherwise, your performance is going to be potentially quite a bit slower than any Nvidia GPU with Tensor cores.

            I mean, you could always just use fp32, but then it's no longer a very realistic benchmark (other than showing things like relative driver overhead of each stack).

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            • #7
              So, let me get this straight, boffo and Steffo both registered their accounts in 2013 and both have nearly the same # of posts? Interesting...

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              • #8
                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.

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                • #9
                  Originally posted by plinkyplonky View Post
                  I wasn't sure whether to go with Tensorflow or PyTorch.
                  Hmmm... Google vs. Facebook.

                  People used to say that Tensorflow had better training tools, but I don't know if that's still the case.

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                  • #10
                    Originally posted by coder View Post
                    Hmmm... Google vs. Facebook.

                    People used to say that Tensorflow had better training tools, but I don't know if that's still the case.
                    You can use tensorboard with pytorch too.

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