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Update OpenBLAS to 0.3.28 (pytorch#137263)
This includes a number of performance improvements, such as threading optimisations and forwarding GEMM calls to GEMV for calls where N=1 or M=1. See: https://github.com/OpenMathLib/OpenBLAS/releases Pull Request resolved: pytorch#137263 Approved by: https://github.com/malfet
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.ci/docker/common/install_conda.sh

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# Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
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if [[ $(uname -m) == "aarch64" ]]; then
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conda_install "openblas==0.3.25=*openmp*"
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conda_install "openblas==0.3.28=*openmp*"
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else
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conda_install "mkl=2021.4.0 mkl-include=2021.4.0"
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fi

.ci/docker/common/install_openblas.sh

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set -ex
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cd /
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git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.25 --depth 1 --shallow-submodules
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git clone https://github.com/OpenMathLib/OpenBLAS.git -b v0.3.28 --depth 1 --shallow-submodules
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OPENBLAS_BUILD_FLAGS="

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