[ML] Upgrade to PyTorch 1.11 on macOS #2235
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It's now possible to use the MKLDNN library on macOS on ARM. There are no other changes to the build process since 1.9. I've added a comment to say we should upgrade the version of Python we use to build PyTorch before the next upgrade, as this seems to be the root cause of the difficulties with correct architecture detection on ARM.
dimitris-athanasiou
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Mar 21, 2022
droberts195
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Mar 22, 2022
Together with elastic#2233 and elastic#2235 this completes the upgrade to PyTorch 1.11 for all platforms. A small change to the way things are done is that we now copy all MKL libraries into the Docker images, then copy the required subset into our release distribution. This means we can change the subset of MKL libraries that we redistribute without having to rebuild our Docker images. Fixes elastic#2126
droberts195
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Mar 30, 2022
Together with #2233 and #2235 this completes the upgrade to PyTorch 1.11 for all platforms. A small change to the way things are done is that we now copy all MKL libraries into the Docker images, then copy the required subset into our release distribution. This means we can change the subset of MKL libraries that we redistribute without having to rebuild our Docker images. Fixes #2126
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It's now possible to use the MKLDNN library on macOS on ARM.
There are no other changes to the build process since 1.9.
I've added a comment to say we should upgrade the version of
Python we use to build PyTorch before the next upgrade, as
this seems to be the root cause of the difficulties with
correct architecture detection on ARM.