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python3Packages.pytorch-bin: 1.9.1 -> 1.10.0
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parent
14c30c8521
commit
207b16af90
3 changed files with 25 additions and 18 deletions
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@ -18,7 +18,7 @@ let
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pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
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srcs = import ./binary-hashes.nix version;
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unsupported = throw "Unsupported system";
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version = "1.9.1";
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version = "1.10.0";
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in buildPythonPackage {
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inherit version;
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@ -59,13 +59,19 @@ in buildPythonPackage {
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done
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'';
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# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
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dontStrip = true;
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pythonImportsCheck = [ "torch" ];
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meta = with lib; {
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description = "Open source, prototype-to-production deep learning platform";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
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license = licenses.unfree; # Includes CUDA and Intel MKL.
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# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
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# https://docs.nvidia.com/cuda/eula/index.html
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# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
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license = licenses.bsd3;
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platforms = platforms.linux;
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maintainers = with maintainers; [ junjihashimoto ];
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};
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@ -6,21 +6,21 @@
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# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
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version : builtins.getAttr version {
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"1.9.1" = {
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"1.10.0" = {
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x86_64-linux-37 = {
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name = "torch-1.9.1-cp37-cp37m-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp37-cp37m-linux_x86_64.whl";
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hash = "sha256-qzXbbpLX+ZlRv41oAyQRk3guU0n/6vuNzWw+nOieL6s=";
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name = "torch-1.10.0-cp37-cp37m-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
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hash = "sha256-KpDbklee2HXSqgrWr1U1nj8EJqUjBWp7SbACw8xtKtg=";
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};
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x86_64-linux-38 = {
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name = "torch-1.9.1-cp38-cp38-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp38-cp38-linux_x86_64.whl";
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hash = "sha256-JUbcqugax08/iN1LKfXq0ohSpejmbKhbT0by7qMGAzw=";
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name = "torch-1.10.0-cp38-cp38-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
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hash = "sha256-zM3cMriUG9A+3in/ChzOLytRETpe4ju4uXkxasIRQYM=";
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};
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x86_64-linux-39 = {
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name = "torch-1.9.1-cp39-cp39-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp39-cp39-linux_x86_64.whl";
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hash = "sha256-wNLLtR9ZxKkVOTzwbAikM5H83pXyH+aPHVFyfrO4c1M=";
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name = "torch-1.10.0-cp39-cp39-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
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hash = "sha256-w8UJDh4b5cgDu7ZSvDoKzNH4hiXEyRfvpycNOg+wJOg=";
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};
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};
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}
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@ -1,18 +1,19 @@
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#!/usr/bin/env nix-shell
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#!nix-shell -i bash -p nix-prefetch-scripts
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set -eou pipefail
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version=$1
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bucket="https://download.pytorch.org/whl/cu111"
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bucket="https://download.pytorch.org/whl/cu113"
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url_and_key_list=(
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"x86_64-linux-37 $bucket/torch-${version}%2Bcu111-cp37-cp37m-linux_x86_64.whl torch-${version}-cp37-cp37m-linux_x86_64.whl"
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"x86_64-linux-38 $bucket/torch-${version}%2Bcu111-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl"
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"x86_64-linux-39 $bucket/torch-${version}%2Bcu111-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl"
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"x86_64-linux-37 $bucket/torch-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torch-${version}-cp37-cp37m-linux_x86_64.whl"
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"x86_64-linux-38 $bucket/torch-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl"
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"x86_64-linux-39 $bucket/torch-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl"
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)
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hashfile=binary-hashes-"$version".nix
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rm -f $hashfile
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hashfile="binary-hashes-$version.nix"
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echo " \"$version\" = {" >> $hashfile
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for url_and_key in "${url_and_key_list[@]}"; do
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