Merge pull request #143525 from junjihashimoto/bump-pytorch
This commit is contained in:
@@ -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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@@ -0,0 +1,52 @@
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{ lib
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, stdenv
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, buildPythonPackage
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, fetchurl
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, python
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, pytorch-bin
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, pythonOlder
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, pythonAtLeast
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}:
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buildPythonPackage rec {
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pname = "torchaudio";
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version = "0.10.0";
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format = "wheel";
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src =
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let pyVerNoDot = lib.replaceStrings [ "." ] [ "" ] python.pythonVersion;
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unsupported = throw "Unsupported system";
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srcs = (import ./binary-hashes.nix version)."${stdenv.system}-${pyVerNoDot}" or unsupported;
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in fetchurl srcs;
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disabled = ! (pythonAtLeast "3.7" && pythonOlder "3.10");
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propagatedBuildInputs = [
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pytorch-bin
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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 = [ "torchaudio" ];
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postFixup = ''
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# Note: after patchelf'ing, libcudart can still not be found. However, this should
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# not be an issue, because PyTorch is loaded before torchvision and brings
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# in the necessary symbols.
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patchelf --set-rpath "${lib.makeLibraryPath [ stdenv.cc.cc.lib ]}:${pytorch-bin}/${python.sitePackages}/torch/lib:" \
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"$out/${python.sitePackages}/torchaudio/_torchaudio.so"
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'';
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meta = with lib; {
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description = "PyTorch audio library";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/audio/releases/tag/v${version}";
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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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}
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@@ -0,0 +1,26 @@
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# Warning: Need to update at the same time as pytorch-bin
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#
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# Precompiled wheels can be found at:
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# https://download.pytorch.org/whl/torch_stable.html
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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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"0.10.0" = {
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x86_64-linux-37 = {
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name = "torchaudio-0.10.0-cp37-cp37m-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
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hash = "sha256-FspXTTODdkO0nPUJcJm8+vLIvckUa8gRfBPBT9LcKPw=";
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};
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x86_64-linux-38 = {
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name = "torchaudio-0.10.0-cp38-cp38-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
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hash = "sha256-Mf7QdXBSIIWRfT7ACthEwFA1V2ieid8legbMnRQnzqI=";
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};
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x86_64-linux-39 = {
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name = "torchaudio-0.10.0-cp39-cp39-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
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hash = "sha256-LMSGNdmku1iHRy1jCRTTOYcQlRL+Oc9jjZC1nx++skA=";
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};
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};
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}
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+37
@@ -0,0 +1,37 @@
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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/cu113"
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url_and_key_list=(
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"x86_64-linux-37 $bucket/torchaudio-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torchaudio-${version}-cp37-cp37m-linux_x86_64.whl"
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"x86_64-linux-38 $bucket/torchaudio-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torchaudio-${version}-cp38-cp38-linux_x86_64.whl"
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"x86_64-linux-39 $bucket/torchaudio-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torchaudio-${version}-cp39-cp39-linux_x86_64.whl"
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)
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hashfile=binary-hashes-"$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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key=$(echo "$url_and_key" | cut -d' ' -f1)
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url=$(echo "$url_and_key" | cut -d' ' -f2)
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name=$(echo "$url_and_key" | cut -d' ' -f3)
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echo "prefetching ${url}..."
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hash=$(nix hash to-sri --type sha256 `nix-prefetch-url "$url" --name "$name"`)
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echo " $key = {" >> $hashfile
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echo " name = \"$name\";" >> $hashfile
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echo " url = \"$url\";" >> $hashfile
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echo " hash = \"$hash\";" >> $hashfile
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echo " };" >> $hashfile
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echo
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done
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echo " };" >> $hashfile
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echo "done."
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@@ -15,7 +15,7 @@ let
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pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
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srcs = import ./binary-hashes.nix version;
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unsupported = throw "Unsupported system";
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version = "0.10.1";
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version = "0.11.1";
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in buildPythonPackage {
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inherit version;
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@@ -36,6 +36,9 @@ in buildPythonPackage {
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pytorch-bin
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];
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# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
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dontStrip = true;
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pythonImportsCheck = [ "torchvision" ];
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postFixup = let
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@@ -52,6 +55,9 @@ in buildPythonPackage {
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description = "PyTorch vision library";
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homepage = "https://pytorch.org/";
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changelog = "https://github.com/pytorch/vision/releases/tag/v${version}";
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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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@@ -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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"0.10.1" = {
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"0.11.1" = {
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x86_64-linux-37 = {
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name = "torchvision-0.10.1-cp37-cp37m-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu111/torchvision-0.10.1%2Bcu111-cp37-cp37m-linux_x86_64.whl";
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hash = "sha256-1MdsCrOLGkYpfbtv011/b6QG+yKaE+O0jUKeUVj2BJY=";
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name = "torchvision-0.11.1-cp37-cp37m-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp37-cp37m-linux_x86_64.whl";
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hash = "sha256-2xKWqWNKqmOMyVJnPfbtF+B9PQ7z4S66J1T3P8EvM0I=";
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};
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x86_64-linux-38 = {
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name = "torchvision-0.10.1-cp38-cp38-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu111/torchvision-0.10.1%2Bcu111-cp38-cp38-linux_x86_64.whl";
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hash = "sha256-LtmsnNSa9g3tCdjW1jhu7AZlGgfyYIVh5/2R+WwcxSo=";
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name = "torchvision-0.11.1-cp38-cp38-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp38-cp38-linux_x86_64.whl";
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hash = "sha256-bFxvJaNEomytXXANHng+oU8YSLGkuO/TSzkoDskkaIE=";
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};
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x86_64-linux-39 = {
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name = "torchvision-0.10.1-cp39-cp39-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu111/torchvision-0.10.1%2Bcu111-cp39-cp39-linux_x86_64.whl";
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hash = "sha256-ZOC/angyiLeOhe+7dAs0W6XlQRKK00T/iI+aBgFNpA0=";
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name = "torchvision-0.11.1-cp39-cp39-linux_x86_64.whl";
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url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp39-cp39-linux_x86_64.whl";
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hash = "sha256-ysN3LmSKR+FVKYGnCGQJqa8lVApVT5rPMO+NHmmazAc=";
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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 $bucket/torchvision-${version}%2Bcu111-cp37-cp37m-linux_x86_64.whl torchvision-${version}-cp37-cp37m-linux_x86_64.whl"
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"x86_64-linux-38 $bucket/torchvision-${version}%2Bcu111-cp38-cp38-linux_x86_64.whl torchvision-${version}-cp38-cp38-linux_x86_64.whl"
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"x86_64-linux-39 $bucket/torchvision-${version}%2Bcu111-cp39-cp39-linux_x86_64.whl torchvision-${version}-cp39-cp39-linux_x86_64.whl"
|
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"x86_64-linux-37 $bucket/torchvision-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torchvision-${version}-cp37-cp37m-linux_x86_64.whl"
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"x86_64-linux-38 $bucket/torchvision-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torchvision-${version}-cp38-cp38-linux_x86_64.whl"
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"x86_64-linux-39 $bucket/torchvision-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torchvision-${version}-cp39-cp39-linux_x86_64.whl"
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)
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hashfile=binary-hashes-"$version".nix
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rm -f $hashfile
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hashfile="binary-hashes-$version.nix"
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echo " \"$version\" = {" >> $hashfile
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|
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for url_and_key in "${url_and_key_list[@]}"; do
|
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|
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Reference in New Issue
Block a user