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Summary: * Add PyTorch 1.10 + CUDA 11.1 combination. * Change the CUDA 11.3 builds to happen in a separate docker image. * Update connection to AWS to use the official `aws` commands instead of the wrapper which is now gone. Reviewed By: patricklabatut Differential Revision: D33235489 fbshipit-source-id: 56401f27c002a512ae121b3ec5911d020bfab885
10 lines
479 B
Bash
10 lines
479 B
Bash
#!/usr/bin/bash
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# Copyright (c) Facebook, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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sudo docker run --rm -v "$PWD/../../:/inside" pytorch/conda-cuda bash inside/packaging/linux_wheels/inside.sh
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sudo docker run --rm -v "$PWD/../../:/inside" -e SELECTED_CUDA=cu113 pytorch/conda-builder:cuda113 bash inside/packaging/linux_wheels/inside.sh
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