Merge pull request #143525 from junjihashimoto/bump-pytorch

This commit is contained in:
Sandro
2021-11-16 10:38:14 +01:00
committed by GitHub
13 changed files with 245 additions and 91 deletions
@@ -18,7 +18,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "1.9.1";
version = "1.10.0";
in buildPythonPackage {
inherit version;
@@ -59,13 +59,19 @@ in buildPythonPackage {
done
'';
# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
dontStrip = true;
pythonImportsCheck = [ "torch" ];
meta = with lib; {
description = "Open source, prototype-to-production deep learning platform";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
license = licenses.unfree; # Includes CUDA and Intel MKL.
# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
# https://docs.nvidia.com/cuda/eula/index.html
# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
license = licenses.bsd3;
platforms = platforms.linux;
maintainers = with maintainers; [ junjihashimoto ];
};
@@ -6,21 +6,21 @@
# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
version : builtins.getAttr version {
"1.9.1" = {
"1.10.0" = {
x86_64-linux-37 = {
name = "torch-1.9.1-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-qzXbbpLX+ZlRv41oAyQRk3guU0n/6vuNzWw+nOieL6s=";
name = "torch-1.10.0-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-KpDbklee2HXSqgrWr1U1nj8EJqUjBWp7SbACw8xtKtg=";
};
x86_64-linux-38 = {
name = "torch-1.9.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp38-cp38-linux_x86_64.whl";
hash = "sha256-JUbcqugax08/iN1LKfXq0ohSpejmbKhbT0by7qMGAzw=";
name = "torch-1.10.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
hash = "sha256-zM3cMriUG9A+3in/ChzOLytRETpe4ju4uXkxasIRQYM=";
};
x86_64-linux-39 = {
name = "torch-1.9.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu111/torch-1.9.1%2Bcu111-cp39-cp39-linux_x86_64.whl";
hash = "sha256-wNLLtR9ZxKkVOTzwbAikM5H83pXyH+aPHVFyfrO4c1M=";
name = "torch-1.10.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
hash = "sha256-w8UJDh4b5cgDu7ZSvDoKzNH4hiXEyRfvpycNOg+wJOg=";
};
};
}
@@ -1,18 +1,19 @@
#!/usr/bin/env nix-shell
#!nix-shell -i bash -p nix-prefetch-scripts
set -eou pipefail
version=$1
bucket="https://download.pytorch.org/whl/cu111"
bucket="https://download.pytorch.org/whl/cu113"
url_and_key_list=(
"x86_64-linux-37 $bucket/torch-${version}%2Bcu111-cp37-cp37m-linux_x86_64.whl torch-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $bucket/torch-${version}%2Bcu111-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $bucket/torch-${version}%2Bcu111-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-37 $bucket/torch-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torch-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $bucket/torch-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $bucket/torch-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl"
)
hashfile=binary-hashes-"$version".nix
rm -f $hashfile
hashfile="binary-hashes-$version.nix"
echo " \"$version\" = {" >> $hashfile
for url_and_key in "${url_and_key_list[@]}"; do
@@ -0,0 +1,52 @@
{ lib
, stdenv
, buildPythonPackage
, fetchurl
, python
, pytorch-bin
, pythonOlder
, pythonAtLeast
}:
buildPythonPackage rec {
pname = "torchaudio";
version = "0.10.0";
format = "wheel";
src =
let pyVerNoDot = lib.replaceStrings [ "." ] [ "" ] python.pythonVersion;
unsupported = throw "Unsupported system";
srcs = (import ./binary-hashes.nix version)."${stdenv.system}-${pyVerNoDot}" or unsupported;
in fetchurl srcs;
disabled = ! (pythonAtLeast "3.7" && pythonOlder "3.10");
propagatedBuildInputs = [
pytorch-bin
];
# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
dontStrip = true;
pythonImportsCheck = [ "torchaudio" ];
postFixup = ''
# Note: after patchelf'ing, libcudart can still not be found. However, this should
# not be an issue, because PyTorch is loaded before torchvision and brings
# in the necessary symbols.
patchelf --set-rpath "${lib.makeLibraryPath [ stdenv.cc.cc.lib ]}:${pytorch-bin}/${python.sitePackages}/torch/lib:" \
"$out/${python.sitePackages}/torchaudio/_torchaudio.so"
'';
meta = with lib; {
description = "PyTorch audio library";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/audio/releases/tag/v${version}";
# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
# https://docs.nvidia.com/cuda/eula/index.html
# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
license = licenses.bsd3;
platforms = platforms.linux;
maintainers = with maintainers; [ junjihashimoto ];
};
}
@@ -0,0 +1,26 @@
# Warning: Need to update at the same time as pytorch-bin
#
# Precompiled wheels can be found at:
# https://download.pytorch.org/whl/torch_stable.html
# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
version : builtins.getAttr version {
"0.10.0" = {
x86_64-linux-37 = {
name = "torchaudio-0.10.0-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-FspXTTODdkO0nPUJcJm8+vLIvckUa8gRfBPBT9LcKPw=";
};
x86_64-linux-38 = {
name = "torchaudio-0.10.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
hash = "sha256-Mf7QdXBSIIWRfT7ACthEwFA1V2ieid8legbMnRQnzqI=";
};
x86_64-linux-39 = {
name = "torchaudio-0.10.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
hash = "sha256-LMSGNdmku1iHRy1jCRTTOYcQlRL+Oc9jjZC1nx++skA=";
};
};
}
+37
View File
@@ -0,0 +1,37 @@
#!/usr/bin/env nix-shell
#!nix-shell -i bash -p nix-prefetch-scripts
set -eou pipefail
version=$1
bucket="https://download.pytorch.org/whl/cu113"
url_and_key_list=(
"x86_64-linux-37 $bucket/torchaudio-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torchaudio-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $bucket/torchaudio-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torchaudio-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $bucket/torchaudio-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torchaudio-${version}-cp39-cp39-linux_x86_64.whl"
)
hashfile=binary-hashes-"$version".nix
echo " \"$version\" = {" >> $hashfile
for url_and_key in "${url_and_key_list[@]}"; do
key=$(echo "$url_and_key" | cut -d' ' -f1)
url=$(echo "$url_and_key" | cut -d' ' -f2)
name=$(echo "$url_and_key" | cut -d' ' -f3)
echo "prefetching ${url}..."
hash=$(nix hash to-sri --type sha256 `nix-prefetch-url "$url" --name "$name"`)
echo " $key = {" >> $hashfile
echo " name = \"$name\";" >> $hashfile
echo " url = \"$url\";" >> $hashfile
echo " hash = \"$hash\";" >> $hashfile
echo " };" >> $hashfile
echo
done
echo " };" >> $hashfile
echo "done."
@@ -15,7 +15,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "0.10.1";
version = "0.11.1";
in buildPythonPackage {
inherit version;
@@ -36,6 +36,9 @@ in buildPythonPackage {
pytorch-bin
];
# The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
dontStrip = true;
pythonImportsCheck = [ "torchvision" ];
postFixup = let
@@ -52,6 +55,9 @@ in buildPythonPackage {
description = "PyTorch vision library";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/vision/releases/tag/v${version}";
# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
# https://docs.nvidia.com/cuda/eula/index.html
# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
license = licenses.bsd3;
platforms = platforms.linux;
maintainers = with maintainers; [ junjihashimoto ];
@@ -6,21 +6,21 @@
# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
version : builtins.getAttr version {
"0.10.1" = {
"0.11.1" = {
x86_64-linux-37 = {
name = "torchvision-0.10.1-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu111/torchvision-0.10.1%2Bcu111-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-1MdsCrOLGkYpfbtv011/b6QG+yKaE+O0jUKeUVj2BJY=";
name = "torchvision-0.11.1-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-2xKWqWNKqmOMyVJnPfbtF+B9PQ7z4S66J1T3P8EvM0I=";
};
x86_64-linux-38 = {
name = "torchvision-0.10.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu111/torchvision-0.10.1%2Bcu111-cp38-cp38-linux_x86_64.whl";
hash = "sha256-LtmsnNSa9g3tCdjW1jhu7AZlGgfyYIVh5/2R+WwcxSo=";
name = "torchvision-0.11.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp38-cp38-linux_x86_64.whl";
hash = "sha256-bFxvJaNEomytXXANHng+oU8YSLGkuO/TSzkoDskkaIE=";
};
x86_64-linux-39 = {
name = "torchvision-0.10.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu111/torchvision-0.10.1%2Bcu111-cp39-cp39-linux_x86_64.whl";
hash = "sha256-ZOC/angyiLeOhe+7dAs0W6XlQRKK00T/iI+aBgFNpA0=";
name = "torchvision-0.11.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp39-cp39-linux_x86_64.whl";
hash = "sha256-ysN3LmSKR+FVKYGnCGQJqa8lVApVT5rPMO+NHmmazAc=";
};
};
}
@@ -1,18 +1,19 @@
#!/usr/bin/env nix-shell
#!nix-shell -i bash -p nix-prefetch-scripts
set -eou pipefail
version=$1
bucket="https://download.pytorch.org/whl/cu111"
bucket="https://download.pytorch.org/whl/cu113"
url_and_key_list=(
"x86_64-linux-37 $bucket/torchvision-${version}%2Bcu111-cp37-cp37m-linux_x86_64.whl torchvision-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $bucket/torchvision-${version}%2Bcu111-cp38-cp38-linux_x86_64.whl torchvision-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $bucket/torchvision-${version}%2Bcu111-cp39-cp39-linux_x86_64.whl torchvision-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-37 $bucket/torchvision-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torchvision-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $bucket/torchvision-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torchvision-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $bucket/torchvision-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torchvision-${version}-cp39-cp39-linux_x86_64.whl"
)
hashfile=binary-hashes-"$version".nix
rm -f $hashfile
hashfile="binary-hashes-$version.nix"
echo " \"$version\" = {" >> $hashfile
for url_and_key in "${url_and_key_list[@]}"; do