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[ML] Upgrade to PyTorch 1.11 on Linux
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
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Original file line number | Diff line number | Diff line change |
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@@ -1,2 +1,2 @@ | ||
name,version,revision,url,license,copyright,sourceURL | ||
PyTorch,1.8.0,37c1f4a7fef115d719104e871d0cf39434aa9d56,https://pytorch.org,BSD-3-Clause,, | ||
PyTorch,1.11.0,bc2c6edaf163b1a1330e37a6e34caf8c553e4755,https://pytorch.org,BSD-3-Clause,, |
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