Merge pull request #189013 from mweinelt/torch-1.12.1

This commit is contained in:
Martin Weinelt
2022-09-01 00:13:52 +02:00
committed by GitHub
13 changed files with 160 additions and 171 deletions
@@ -20,7 +20,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "1.11.0";
version = "1.12.1";
in buildPythonPackage {
inherit version;
@@ -68,7 +68,7 @@ in buildPythonPackage {
pythonImportsCheck = [ "torch" ];
meta = with lib; {
description = "Open source, prototype-to-production deep learning platform";
description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration";
homepage = "https://pytorch.org/";
changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
# Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
@@ -6,61 +6,61 @@
# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
version : builtins.getAttr version {
"1.11.0" = {
"1.12.1" = {
x86_64-linux-37 = {
name = "torch-1.11.0-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-9WMzRw2uo8lweLN2B+ADXMz3L8XDb9hFRuGkuNmUTys=";
name = "torch-1.12.1-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-/JtHhuxUvmfqqLDHyZmeL0riuJocGOQd4VFaGQRAxpE=";
};
x86_64-linux-38 = {
name = "torch-1.11.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
hash = "sha256-tqeZvbbuPZFOXmK920J21KECSMGvTy0hdzjl+e4nSFs=";
name = "torch-1.12.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp38-cp38-linux_x86_64.whl";
hash = "sha256-3aMSkBIgiVCHzIPTZlRko9wXHQRGDGHDGvRj77+1SJY=";
};
x86_64-linux-39 = {
name = "torch-1.11.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
hash = "sha256-6RJrCl2VcEvuQKnQ7xy9gtjceGPkY4o3a+9wLf1lk3A=";
name = "torch-1.12.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp39-cp39-linux_x86_64.whl";
hash = "sha256-dyVCDavr/K9EmE7c4yg+6pH5jw99WHS8aMehZL2BJuM=";
};
x86_64-linux-310 = {
name = "torch-1.11.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp310-cp310-linux_x86_64.whl";
hash = "sha256-powzZXpUYTHrm8ROKpjS+nBKr66GFGCwUbgoE4Usy0Q=";
name = "torch-1.12.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp310-cp310-linux_x86_64.whl";
hash = "sha256-trwxJEqigYkp+7MMSDwiHfRx6dhW6AXFof9ysTGunns=";
};
x86_64-darwin-37 = {
name = "torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl";
hash = "sha256-aGCx0b8LsLZ6a9R/haDkyCW1GO6hO11hAZmdu8vVvAw=";
name = "torch-1.12.1-cp37-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp37-none-macosx_10_9_x86_64.whl";
hash = "sha256-ijSi+7qgfJIeGyA/WdPW4A7TefKzhERXc70U4yiltsg=";
};
x86_64-darwin-38 = {
name = "torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl";
hash = "sha256-DMyFzQYiej7fgJ4seV/Vdiw9Too4tcn3RMbnz4QTYbs=";
name = "torch-1.12.1-cp38-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp38-none-macosx_10_9_x86_64.whl";
hash = "sha256-qDILqa2H6AylpqAW5GraTRugxUYm4TXZmyEppFQcUJ0=";
};
x86_64-darwin-39 = {
name = "torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl";
hash = "sha256-UP2b+FxXjIccKPHLCs6d/GAkQBx/OZsXT7DzcImfRFQ=";
name = "torch-1.12.1-cp39-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp39-none-macosx_10_9_x86_64.whl";
hash = "sha256-v+woQ9qmVPBP2iO6gjrwPntvdlCoc823JnUtDjcY2to=";
};
x86_64-darwin-310 = {
name = "torch-1.11.0-cp310-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl";
hash = "sha256-UP2b+FxXjIccKPHLCs6d/GAkQBx/OZsXT7DzcImfRFQ=";
name = "torch-1.12.1-cp310-none-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp310-none-macosx_10_9_x86_64.whl";
hash = "sha256-l2w/mXzqOO6RoN08OkIyJ4VBR0jRdh75JreJ36l8YTQ=";
};
aarch64-darwin-38 = {
name = "torch-1.11.0-cp38-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp38-none-macosx_11_0_arm64.whl";
hash = "sha256-wVVOSddPGyw+cgLXcFa6LddGVDdYW6xkBitYD3FKROk=";
name = "torch-1.12.1-cp38-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp38-none-macosx_11_0_arm64.whl";
hash = "sha256-A+McN3Edss0gHgLeWCbeh1Up5FpVYx0xeq3OLx7UWqg=";
};
aarch64-darwin-39 = {
name = "torch-1.11.0-cp39-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-DkivZq11Xw+cXyZkAopBT1fEnWrcN+d+Bv4ABNpO22E=";
name = "torch-1.12.1-cp39-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-af4srnw5zK3WWhI3k9MODbiB8cGSeUVRnFwXMjExQ34=";
};
aarch64-darwin-310 = {
name = "torch-1.11.0-cp310-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-DkivZq11Xw+cXyZkAopBT1fEnWrcN+d+Bv4ABNpO22E=";
name = "torch-1.12.1-cp310-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-1.12.1-cp310-none-macosx_11_0_arm64.whl";
hash = "sha256-aBBORxWlXEuymoXGqNV9gg4HV9o2O+G6aA+ozFvhe1I=";
};
};
}
@@ -1,13 +0,0 @@
diff --git a/third_party/breakpad/src/client/linux/handler/exception_handler.cc b/third_party/breakpad/src/client/linux/handler/exception_handler.cc
index ca353c4099..499be0a986 100644
--- a/third_party/breakpad/src/client/linux/handler/exception_handler.cc
+++ b/third_party/breakpad/src/client/linux/handler/exception_handler.cc
@@ -138,7 +138,7 @@ void InstallAlternateStackLocked() {
// SIGSTKSZ may be too small to prevent the signal handlers from overrunning
// the alternative stack. Ensure that the size of the alternative stack is
// large enough.
- static const unsigned kSigStackSize = std::max(16384, SIGSTKSZ);
+ const unsigned kSigStackSize = std::max<unsigned>(16384, SIGSTKSZ);
// Only set an alternative stack if there isn't already one, or if the current
// one is too small.
@@ -122,31 +122,26 @@ let
in buildPythonPackage rec {
pname = "torch";
# Don't forget to update torch-bin to the same version.
version = "1.11.0";
version = "1.12.1";
format = "setuptools";
disabled = pythonOlder "3.7.0";
outputs = [
"out" # output standard python package
"dev" # output libtorch headers
"lib" # output libtorch libraries
"out" # output standard python package
"dev" # output libtorch headers
"lib" # output libtorch libraries
];
src = fetchFromGitHub {
owner = "pytorch";
repo = "pytorch";
rev = "v${version}";
owner = "pytorch";
repo = "pytorch";
rev = "refs/tags/v${version}";
fetchSubmodules = true;
sha256 = "sha256-CEu63tdRBAF8CTchO3Qu8gUNObQylX6U08yDTI4/c/0=";
hash = "sha256-8378BVOBFCRYRG1+yIYFSPKmb1rFOLgR+8pNZKt9NfI=";
};
patches = [
# Fix for a breakpad incompatibility with glibc>2.33
# https://github.com/pytorch/pytorch/issues/70297
# https://github.com/google/breakpad/commit/605c51ed96ad44b34c457bbca320e74e194c317e
./breakpad-sigstksz.patch
] ++ lib.optionals (stdenv.isDarwin && stdenv.isx86_64) [
patches = lib.optionals (stdenv.isDarwin && stdenv.isx86_64) [
# pthreadpool added support for Grand Central Dispatch in April
# 2020. However, this relies on functionality (DISPATCH_APPLY_AUTO)
# that is available starting with macOS 10.13. However, our current
@@ -208,7 +203,7 @@ in buildPythonPackage rec {
PYTORCH_BUILD_VERSION = version;
PYTORCH_BUILD_NUMBER = 0;
USE_SYSTEM_NCCL=setBool useSystemNccl; # don't build pytorch's third_party NCCL
USE_SYSTEM_NCCL = setBool useSystemNccl; # don't build pytorch's third_party NCCL
# Suppress a weird warning in mkl-dnn, part of ideep in pytorch
# (upstream seems to have fixed this in the wrong place?)
@@ -243,15 +238,17 @@ in buildPythonPackage rec {
pillow six future tensorboard protobuf
] ++ lib.optionals MPISupport [ mpi ];
checkInputs = [ hypothesis ninja psutil ];
# Tests take a long time and may be flaky, so just sanity-check imports
doCheck = false;
pythonImportsCheck = [
"torch"
];
checkInputs = [ hypothesis ninja psutil ];
checkPhase = with lib.versions; with lib.strings; concatStringsSep " " [
"runHook preCheck"
cudaStubEnv
"${python.interpreter} test/run_test.py"
"--exclude"
@@ -264,13 +261,15 @@ in buildPythonPackage rec {
# tensorboard has acceptable failures for pytorch 1.3.x due to dependencies on tensorboard-plugins
(optionalString (majorMinor version == "1.3" ) "tensorboard")
])
"runHook postCheck"
];
postInstall = ''
find "$out/${python.sitePackages}/torch/include" "$out/${python.sitePackages}/torch/lib" -type f -exec remove-references-to -t ${stdenv.cc} '{}' +
mkdir $dev
cp -r $out/${python.sitePackages}/torch/include $dev/include
cp -r $out/${python.sitePackages}/torch/share $dev/share
cp -r $out/${python.sitePackages}/torch/share $dev/share
# Fix up library paths for split outputs
substituteInPlace \
@@ -282,7 +281,7 @@ in buildPythonPackage rec {
--replace \''${_IMPORT_PREFIX}/lib "$lib/lib"
mkdir $lib
mv $out/${python.sitePackages}/torch/lib $lib/lib
mv $out/${python.sitePackages}/torch/lib $lib/lib
ln -s $lib/lib $out/${python.sitePackages}/torch/lib
'';
@@ -312,11 +311,12 @@ in buildPythonPackage rec {
};
meta = with lib; {
description = "Open source, prototype-to-production deep learning platform";
homepage = "https://pytorch.org/";
license = licenses.bsd3;
changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
# keep PyTorch in the description so the package can be found under that name on search.nixos.org
description = "PyTorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration";
homepage = "https://pytorch.org/";
license = licenses.bsd3;
maintainers = with maintainers; [ teh thoughtpolice tscholak ]; # tscholak esp. for darwin-related builds
platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
broken = stdenv.isLinux && stdenv.isAarch64;
platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
};
}
@@ -5,14 +5,15 @@ set -eou pipefail
version=$1
linux_bucket="https://download.pytorch.org/whl/cu113"
linux_cuda_version="cu116"
linux_bucket="https://download.pytorch.org/whl/${linux_cuda_version}"
darwin_bucket="https://download.pytorch.org/whl/cpu"
url_and_key_list=(
"x86_64-linux-37 $linux_bucket/torch-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torch-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $linux_bucket/torch-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $linux_bucket/torch-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-310 $linux_bucket/torch-${version}%2Bcu113-cp310-cp310-linux_x86_64.whl torch-${version}-cp310-cp310-linux_x86_64.whl"
"x86_64-linux-37 $linux_bucket/torch-${version}%2B${linux_cuda_version}-cp37-cp37m-linux_x86_64.whl torch-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $linux_bucket/torch-${version}%2B${linux_cuda_version}-cp38-cp38-linux_x86_64.whl torch-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $linux_bucket/torch-${version}%2B${linux_cuda_version}-cp39-cp39-linux_x86_64.whl torch-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-310 $linux_bucket/torch-${version}%2B${linux_cuda_version}-cp310-cp310-linux_x86_64.whl torch-${version}-cp310-cp310-linux_x86_64.whl"
"x86_64-darwin-37 $darwin_bucket/torch-${version}-cp37-none-macosx_10_9_x86_64.whl torch-${version}-cp37-none-macosx_10_9_x86_64.whl"
"x86_64-darwin-38 $darwin_bucket/torch-${version}-cp38-none-macosx_10_9_x86_64.whl torch-${version}-cp38-none-macosx_10_9_x86_64.whl"
"x86_64-darwin-39 $darwin_bucket/torch-${version}-cp39-none-macosx_10_9_x86_64.whl torch-${version}-cp39-none-macosx_10_9_x86_64.whl"
@@ -14,7 +14,7 @@
buildPythonPackage rec {
pname = "torchaudio";
version = "0.11.0";
version = "0.12.1";
format = "wheel";
src =
@@ -6,61 +6,61 @@
# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
version : builtins.getAttr version {
"0.11.0" = {
"0.12.1" = {
x86_64-linux-37 = {
name = "torchaudio-0.11.0-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.11.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-AdqgntXh2rTD7rBePshFAQ2tVl7b+734wG4r471/Y2U=";
name = "torchaudio-0.12.1-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchaudio-0.12.1%2Bcu116-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-8Z72lazhnV2ZBtnvpdm5ZHhiyE/wHwEpQ9UzZoi//mw=";
};
x86_64-linux-38 = {
name = "torchaudio-0.11.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.11.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
hash = "sha256-zuCHDpz3bkOUjYWprqX9VXoUbXfR8Vhdf1VFfOUg8z4=";
name = "torchaudio-0.12.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchaudio-0.12.1%2Bcu116-cp38-cp38-linux_x86_64.whl";
hash = "sha256-CCtZ6eUhs/6kaoU0HwDDaK4JTSFKkVJF+OMAu368Zno=";
};
x86_64-linux-39 = {
name = "torchaudio-0.11.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.11.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
hash = "sha256-btI9TpsOjeLnIz6J56avNv4poJTpXjjhDbMy6+ZFQvI=";
name = "torchaudio-0.12.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchaudio-0.12.1%2Bcu116-cp39-cp39-linux_x86_64.whl";
hash = "sha256-pNa5fV9vC1cXeDLhHTCscO7RO2lst2Vmm0K7NzINqgw=";
};
x86_64-linux-310 = {
name = "torchaudio-0.11.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchaudio-0.11.0%2Bcu113-cp310-cp310-linux_x86_64.whl";
hash = "sha256-Zk+AWytEXfJ+HM69BAPhVsvN6pgQwC6uaW7Xux2row4=";
name = "torchaudio-0.12.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchaudio-0.12.1%2Bcu116-cp310-cp310-linux_x86_64.whl";
hash = "sha256-KdeBVGBQ1lQxXxCQGwX17E1iptMis0Rfex++o4JmVog=";
};
x86_64-darwin-37 = {
name = "torchaudio-0.11.0-cp37-cp37m-macosx_10_15_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp37-cp37m-macosx_10_15_x86_64.whl";
hash = "sha256-uaTT4athEWHAZe0hBoBIM/9LhfZNhAIexZBGg2MWn50=";
name = "torchaudio-0.12.1-cp37-cp37m-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.12.1-cp37-cp37m-macosx_10_9_x86_64.whl";
hash = "sha256-I9vPN68vQdSRwDN8qUUB7H71iK2xdm4esoAz+sVJu9k=";
};
x86_64-darwin-38 = {
name = "torchaudio-0.11.0-cp38-cp38-macosx_10_15_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp38-cp38-macosx_10_15_x86_64.whl";
hash = "sha256-9OndqejTzgu9XnkZJiGfUFS4uFNlx5vi7pAzOs+a2/w=";
name = "torchaudio-0.12.1-cp38-cp38-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.12.1-cp38-cp38-macosx_10_9_x86_64.whl";
hash = "sha256-pMjBWx6BCpO7d7J/pJFZvqIlO1k++UA5lG7Emu9Rdk8=";
};
x86_64-darwin-39 = {
name = "torchaudio-0.11.0-cp39-cp39-macosx_10_15_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp39-cp39-macosx_10_15_x86_64.whl";
hash = "sha256-cNi8B/J3YI0jqaoI2z+68DVmAlS8EtmzYWQMRVZ3dVk=";
name = "torchaudio-0.12.1-cp39-cp39-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.12.1-cp39-cp39-macosx_10_9_x86_64.whl";
hash = "sha256-CPkrxTaC07rYYG3ttwpJ5aD3z5MGyRc/B027qXeFRC4=";
};
x86_64-darwin-310 = {
name = "torchaudio-0.11.0-cp310-cp310-macosx_10_15_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp310-cp310-macosx_10_15_x86_64.whl";
hash = "sha256-g2Pj2wqK9YIP19O/g5agryPcgiHJqdS2Di44mAVJKUQ=";
name = "torchaudio-0.12.1-cp310-cp310-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.12.1-cp310-cp310-macosx_10_9_x86_64.whl";
hash = "sha256-3BOL7gayMFRC/BMhcfKgHV9CUJ6qIb34fD0mpvSgn90=";
};
aarch64-darwin-38 = {
name = "torchaudio-0.11.0-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-MX/Y7Dn92zrx2tkGWTuezcPt9o5/V4DEL43pVlha5IA=";
name = "torchaudio-0.12.1-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-0.12.1-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-g8CLcabcjiPB17AHgKu55MKVKOR6bmRP497nrCJjgh4=";
};
aarch64-darwin-39 = {
name = "torchaudio-0.11.0-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-5eVRP83VeHAGGWW++/B2V4eyX0mcPgC1j02ETkQYMXc=";
name = "torchaudio-0.12.1-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-0.12.1-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-L8WivI6KrUdbxRnzyCuWSeFLXGV0h/+nEs98UUFD6dc=";
};
aarch64-darwin-310 = {
name = "torchaudio-0.11.0-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/torchaudio-0.11.0-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-06OyzOuV8E7ZNtozvFO9Zm2rBxWnnbM65HGYUiQdwtI=";
name = "torchaudio-0.12.1-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-0.12.1-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-HYH3GDfV1b5lHoXKn6k3fstFE7ASnd+wJVQOHCQG0+Y=";
};
};
}
@@ -5,21 +5,22 @@ set -eou pipefail
version=$1
linux_bucket="https://download.pytorch.org/whl/cu113"
linux_cuda_version="cu116"
linux_bucket="https://download.pytorch.org/whl/${linux_cuda_version}"
darwin_bucket="https://download.pytorch.org/whl"
url_and_key_list=(
"x86_64-linux-37 $linux_bucket/torchaudio-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torchaudio-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $linux_bucket/torchaudio-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torchaudio-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $linux_bucket/torchaudio-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torchaudio-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-310 $linux_bucket/torchaudio-${version}%2Bcu113-cp310-cp310-linux_x86_64.whl torchaudio-${version}-cp310-cp310-linux_x86_64.whl"
"x86_64-darwin-37 $darwin_bucket/torchaudio-${version}-cp37-cp37m-macosx_10_15_x86_64.whl torchaudio-${version}-cp37-cp37m-macosx_10_15_x86_64.whl"
"x86_64-darwin-38 $darwin_bucket/torchaudio-${version}-cp38-cp38-macosx_10_15_x86_64.whl torchaudio-${version}-cp38-cp38-macosx_10_15_x86_64.whl"
"x86_64-darwin-39 $darwin_bucket/torchaudio-${version}-cp39-cp39-macosx_10_15_x86_64.whl torchaudio-${version}-cp39-cp39-macosx_10_15_x86_64.whl"
"x86_64-darwin-310 $darwin_bucket/torchaudio-${version}-cp310-cp310-macosx_10_15_x86_64.whl torchaudio-${version}-cp310-cp310-macosx_10_15_x86_64.whl"
"aarch64-darwin-38 $darwin_bucket/torchaudio-${version}-cp38-cp38-macosx_11_0_arm64.whl torchaudio-${version}-cp38-cp38-macosx_11_0_arm64.whl"
"aarch64-darwin-39 $darwin_bucket/torchaudio-${version}-cp39-cp39-macosx_11_0_arm64.whl torchaudio-${version}-cp39-cp39-macosx_11_0_arm64.whl"
"aarch64-darwin-310 $darwin_bucket/torchaudio-${version}-cp310-cp310-macosx_11_0_arm64.whl torchaudio-${version}-cp310-cp310-macosx_11_0_arm64.whl"
"x86_64-linux-37 $linux_bucket/torchaudio-${version}%2B${linux_cuda_version}-cp37-cp37m-linux_x86_64.whl torchaudio-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $linux_bucket/torchaudio-${version}%2B${linux_cuda_version}-cp38-cp38-linux_x86_64.whl torchaudio-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $linux_bucket/torchaudio-${version}%2B${linux_cuda_version}-cp39-cp39-linux_x86_64.whl torchaudio-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-310 $linux_bucket/torchaudio-${version}%2B${linux_cuda_version}-cp310-cp310-linux_x86_64.whl torchaudio-${version}-cp310-cp310-linux_x86_64.whl"
"x86_64-darwin-37 $darwin_bucket/torchaudio-${version}-cp37-cp37m-macosx_10_9_x86_64.whl torchaudio-${version}-cp37-cp37m-macosx_10_9_x86_64.whl"
"x86_64-darwin-38 $darwin_bucket/torchaudio-${version}-cp38-cp38-macosx_10_9_x86_64.whl torchaudio-${version}-cp38-cp38-macosx_10_9_x86_64.whl"
"x86_64-darwin-39 $darwin_bucket/torchaudio-${version}-cp39-cp39-macosx_10_9_x86_64.whl torchaudio-${version}-cp39-cp39-macosx_10_9_x86_64.whl"
"x86_64-darwin-310 $darwin_bucket/torchaudio-${version}-cp310-cp310-macosx_10_9_x86_64.whl torchaudio-${version}-cp310-cp310-macosx_10_9_x86_64.whl"
"aarch64-darwin-38 $darwin_bucket/cpu/torchaudio-${version}-cp38-cp38-macosx_11_0_arm64.whl torchaudio-${version}-cp38-cp38-macosx_11_0_arm64.whl"
"aarch64-darwin-39 $darwin_bucket/cpu/torchaudio-${version}-cp39-cp39-macosx_11_0_arm64.whl torchaudio-${version}-cp39-cp39-macosx_11_0_arm64.whl"
"aarch64-darwin-310 $darwin_bucket/cpu/torchaudio-${version}-cp310-cp310-macosx_11_0_arm64.whl torchaudio-${version}-cp310-cp310-macosx_11_0_arm64.whl"
)
hashfile=binary-hashes-"$version".nix
@@ -16,7 +16,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "0.12.0";
version = "0.13.1";
in buildPythonPackage {
inherit version;
@@ -6,61 +6,61 @@
# To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
version : builtins.getAttr version {
"0.12.0" = {
"0.13.1" = {
x86_64-linux-37 = {
name = "torchvision-0.12.0-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.12.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-i/qktZT+5HQYQjtTHtxOV751DcsP9AHMsSV9/svsGzA=";
name = "torchvision-0.13.1-cp37-cp37m-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp37-cp37m-linux_x86_64.whl";
hash = "sha256-3PMvbZmEk+duwho4u7hWt0Ailc96Z/sJzlvefn5yV1Y=";
};
x86_64-linux-38 = {
name = "torchvision-0.12.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.12.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
hash = "sha256-NxM+jFsOwvAZmeWRFvbQ422a+xx/j1i9DD3ImW+DVBk=";
name = "torchvision-0.13.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp38-cp38-linux_x86_64.whl";
hash = "sha256-w86ys/RW8MmEr3HvVfhjfxeKKdw+E6ZvuwEM7q0okeE=";
};
x86_64-linux-39 = {
name = "torchvision-0.12.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.12.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
hash = "sha256-bGO5q+KEnv7SexmbbUWaIbsBcIxyDbL8pevZQbLwDbg=";
name = "torchvision-0.13.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp39-cp39-linux_x86_64.whl";
hash = "sha256-dZhqvlchOCWOuXlctM1z9Asr34N0/voa9v9rsNvJcsY=";
};
x86_64-linux-310 = {
name = "torchvision-0.12.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu113/torchvision-0.12.0%2Bcu113-cp310-cp310-linux_x86_64.whl";
hash = "sha256-ocsGOHa967HcZGV+1omD/xMHufmoi166Yg2Hr+SEhfE=";
name = "torchvision-0.13.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp310-cp310-linux_x86_64.whl";
hash = "sha256-DJorYFrDD89HXWD3m6N4rwBzoi3lhUU/jD3WwUUqubw=";
};
x86_64-darwin-37 = {
name = "torchvision-0.12.0-cp37-cp37m-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp37-cp37m-macosx_10_9_x86_64.whl";
hash = "sha256-GJM7xZf0VjmTJJcZqWqV28fTN0yQ+7MNPafVGPOv60I=";
name = "torchvision-0.13.1-cp37-cp37m-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp37-cp37m-macosx_10_9_x86_64.whl";
hash = "sha256-XmMSQb7jZh3mT4NhZlYiSvLjUS6yWA2nwI4IuMllqKw=";
};
x86_64-darwin-38 = {
name = "torchvision-0.12.0-cp38-cp38-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp38-cp38-macosx_10_9_x86_64.whl";
hash = "sha256-DWAuCb1Fc2/y55aOjduw7s6Vb/ltcVSLGxtIeP33S9g=";
name = "torchvision-0.13.1-cp38-cp38-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp38-cp38-macosx_10_9_x86_64.whl";
hash = "sha256-8jChpA7XDVHkY85D3yQ+xSCQL4cl3iUC5IXvxe6p2GQ=";
};
x86_64-darwin-39 = {
name = "torchvision-0.12.0-cp39-cp39-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp39-cp39-macosx_10_9_x86_64.whl";
hash = "sha256-RMye+ZLS4qtjsIg/fezrwiRNupO3JUe6EfV6yEUvbq0=";
name = "torchvision-0.13.1-cp39-cp39-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp39-cp39-macosx_10_9_x86_64.whl";
hash = "sha256-Api647Caw2GGYIhDQAjYK5nWRY/oiIyN+Qcg70s0fUQ=";
};
x86_64-darwin-310 = {
name = "torchvision-0.12.0-cp310-cp310-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp310-cp310-macosx_10_9_x86_64.whl";
hash = "sha256-aTZW5nkLarIeSm6H6BwpgrrZ5FW16yThS7ZyOC7GEw8=";
name = "torchvision-0.13.1-cp310-cp310-macosx_10_9_x86_64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp310-cp310-macosx_10_9_x86_64.whl";
hash = "sha256-GShqczxp3L1Be4Z5PfgHvSJ9tXhu14fBcpd0GpsND8c=";
};
aarch64-darwin-38 = {
name = "torchvision-0.12.0-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-n0JCD38LKc09YXdt8xV4JyV6DPFrLAJ3bcFslquxJW0=";
name = "torchvision-0.13.1-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.13.1-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-6aVjiU+fpAaS4k0apYw+8EBFABfP7TWY/5Y39ATz/js=";
};
aarch64-darwin-39 = {
name = "torchvision-0.12.0-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-adgvR7Z7rW3cu4eDO6WVCmwnG6l7quTAlVYQBxvwNPU=";
name = "torchvision-0.13.1-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.13.1-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-xe1gnIvIjFdSJkALIjLgMJCUR3yCrziVLgNz7e8AA/0=";
};
aarch64-darwin-310 = {
name = "torchvision-0.12.0-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/torchvision-0.12.0-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-oL5FAcoLobGVZEySQ/SaHEmiblKn83kkxCOdC/XsvY0=";
name = "torchvision-0.13.1-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchvision-0.13.1-cp310-cp310-macosx_11_0_arm64.whl";
hash = "sha256-CPWS6mGDbr7Otcl/TXqBO519xlG7985EAVY8z65qIfw=";
};
};
}
@@ -24,13 +24,13 @@ let
cudaArchStr = lib.optionalString cudaSupport lib.strings.concatStringsSep ";" torch.cudaArchList;
in buildPythonPackage rec {
pname = "torchvision";
version = "0.13.0";
version = "0.13.1";
src = fetchFromGitHub {
owner = "pytorch";
repo = "vision";
rev = "refs/tags/v${version}";
sha256 = "sha256-nIE1HvmAhRh3Hvj3qlF52sN9LGIorLiXlLtN7tzQxqU=";
hash = "sha256-QlUAFAG6zEDCDSXR5n2CznspU3fT0kbqySzofGLPgK4=";
};
nativeBuildInputs = [ libpng ninja which ]
@@ -5,21 +5,22 @@ set -eou pipefail
version=$1
linux_bucket="https://download.pytorch.org/whl/cu113"
linux_cuda_version="cu116"
linux_bucket="https://download.pytorch.org/whl/${linux_cuda_version}"
darwin_bucket="https://download.pytorch.org/whl"
url_and_key_list=(
"x86_64-linux-37 $linux_bucket/torchvision-${version}%2Bcu113-cp37-cp37m-linux_x86_64.whl torchvision-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $linux_bucket/torchvision-${version}%2Bcu113-cp38-cp38-linux_x86_64.whl torchvision-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $linux_bucket/torchvision-${version}%2Bcu113-cp39-cp39-linux_x86_64.whl torchvision-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-310 $linux_bucket/torchvision-${version}%2Bcu113-cp310-cp310-linux_x86_64.whl torchvision-${version}-cp310-cp310-linux_x86_64.whl"
"x86_64-linux-37 $linux_bucket/torchvision-${version}%2B${linux_cuda_version}-cp37-cp37m-linux_x86_64.whl torchvision-${version}-cp37-cp37m-linux_x86_64.whl"
"x86_64-linux-38 $linux_bucket/torchvision-${version}%2B${linux_cuda_version}-cp38-cp38-linux_x86_64.whl torchvision-${version}-cp38-cp38-linux_x86_64.whl"
"x86_64-linux-39 $linux_bucket/torchvision-${version}%2B${linux_cuda_version}-cp39-cp39-linux_x86_64.whl torchvision-${version}-cp39-cp39-linux_x86_64.whl"
"x86_64-linux-310 $linux_bucket/torchvision-${version}%2B${linux_cuda_version}-cp310-cp310-linux_x86_64.whl torchvision-${version}-cp310-cp310-linux_x86_64.whl"
"x86_64-darwin-37 $darwin_bucket/torchvision-${version}-cp37-cp37m-macosx_10_9_x86_64.whl torchvision-${version}-cp37-cp37m-macosx_10_9_x86_64.whl"
"x86_64-darwin-38 $darwin_bucket/torchvision-${version}-cp38-cp38-macosx_10_9_x86_64.whl torchvision-${version}-cp38-cp38-macosx_10_9_x86_64.whl"
"x86_64-darwin-39 $darwin_bucket/torchvision-${version}-cp39-cp39-macosx_10_9_x86_64.whl torchvision-${version}-cp39-cp39-macosx_10_9_x86_64.whl"
"x86_64-darwin-310 $darwin_bucket/torchvision-${version}-cp310-cp310-macosx_10_9_x86_64.whl torchvision-${version}-cp310-cp310-macosx_10_9_x86_64.whl"
"aarch64-darwin-38 $darwin_bucket/torchvision-${version}-cp38-cp38-macosx_11_0_arm64.whl torchvision-${version}-cp38-cp38-macosx_11_0_arm64.whl"
"aarch64-darwin-39 $darwin_bucket/torchvision-${version}-cp39-cp39-macosx_11_0_arm64.whl torchvision-${version}-cp39-cp39-macosx_11_0_arm64.whl"
"aarch64-darwin-310 $darwin_bucket/torchvision-${version}-cp310-cp310-macosx_11_0_arm64.whl torchvision-${version}-cp310-cp310-macosx_11_0_arm64.whl"
"aarch64-darwin-38 $darwin_bucket/cpu/torchvision-${version}-cp38-cp38-macosx_11_0_arm64.whl torchvision-${version}-cp38-cp38-macosx_11_0_arm64.whl"
"aarch64-darwin-39 $darwin_bucket/cpu/torchvision-${version}-cp39-cp39-macosx_11_0_arm64.whl torchvision-${version}-cp39-cp39-macosx_11_0_arm64.whl"
"aarch64-darwin-310 $darwin_bucket/cpu/torchvision-${version}-cp310-cp310-macosx_11_0_arm64.whl torchvision-${version}-cp310-cp310-macosx_11_0_arm64.whl"
)
hashfile="binary-hashes-$version.nix"
-1
View File
@@ -10929,7 +10929,6 @@ in {
torch-bin = callPackage ../development/python-modules/torch/bin.nix { };
torchWithCuda = self.torch.override {
cudaSupport = true;
};