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Merge pull request #317576 from GaetanLepage/torch
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python311Packages.{torch,torch-bin}: 2.3.0 -> 2.3.1
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@GaetanLepage
GaetanLepage authored Jun 10, 2024
2 parents c6c3e42 + 6f0e154 commit a8ff362
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Showing 9 changed files with 175 additions and 175 deletions.
12 changes: 6 additions & 6 deletions pkgs/development/python-modules/torch/bin.nix
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "2.3.0";
version = "2.3.1";
in
buildPythonPackage {
inherit version;
Expand Down Expand Up @@ -75,7 +75,7 @@ buildPythonPackage {
"libcuda.so.1"
];

propagatedBuildInputs = [
dependencies = [
future
numpy
pyyaml
Expand All @@ -102,7 +102,7 @@ buildPythonPackage {

pythonImportsCheck = [ "torch" ];

meta = with lib; {
meta = {
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}";
Expand All @@ -111,18 +111,18 @@ buildPythonPackage {
# https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
# torch's license is BSD3.
# torch-bin used to vendor CUDA. It still links against CUDA and MKL.
license = with licenses; [
license = with lib.licenses; [
bsd3
issl
unfreeRedistributable
];
sourceProvenance = with sourceTypes; [ binaryNativeCode ];
sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ];
platforms = [
"aarch64-darwin"
"aarch64-linux"
"x86_64-linux"
];
hydraPlatforms = [ ]; # output size 3.2G on 1.11.0
maintainers = with maintainers; [ junjihashimoto ];
maintainers = with lib.maintainers; [ junjihashimoto ];
};
}
92 changes: 46 additions & 46 deletions pkgs/development/python-modules/torch/binary-hashes.nix
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Original file line number Diff line number Diff line change
Expand Up @@ -7,81 +7,81 @@

version:
builtins.getAttr version {
"2.3.0" = {
"2.3.1" = {
x86_64-linux-38 = {
name = "torch-2.3.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-lZi5WfVk7j6+NgOwugHSQXTKgBb+ypgQTwMB8UkGF8o=";
name = "torch-2.3.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-TkEPNC/YbHO+oO0kVQnV/15od72lSySfdaM9U1yHfy8=";
};
x86_64-linux-39 = {
name = "torch-2.3.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-PMFeTCaCqFUYEhogUNa+eXbZj8SEO7wTtvW+4nWhtu4=";
name = "torch-2.3.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-3+phA2LA4qX/KNMi1qpl1l4D4TNJlhGaWjdwx9GCGsQ=";
};
x86_64-linux-310 = {
name = "torch-2.3.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-ChKqmqa8RC3/iCOsi0jZkf0HcVYuqjhZP5yBltZfcAc=";
name = "torch-2.3.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-8N610vkypo7VRiW6FA7dvyryK+l47hm5tjyYat1kJbI=";
};
x86_64-linux-311 = {
name = "torch-2.3.0-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-XffjyzlhAYqJHk7e8eC8HzMEqNlD+BskqMa/aHykmmc=";
name = "torch-2.3.1-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-kl40rwkFBipItPgtDmZWNBrU1iaDSmqCRe9OruU3XJg=";
};
x86_64-linux-312 = {
name = "torch-2.3.0-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-8VtvVJ7rxuayKyZ1Tk8dfkRpvNLUuh6qtXJorYC8ypY=";
name = "torch-2.3.1-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-s8WG9Ksl6D7//M+5cHnpEyUym8IoFmVVxLuTlXdT1Oo=";
};
aarch64-darwin-38 = {
name = "torch-2.3.0-cp38-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp38-none-macosx_11_0_arm64.whl";
hash = "sha256-aun2SwlRa6pO+JCvBnLcmBwgsfDYKc4RXUQgokfoj7o=";
name = "torch-2.3.1-cp38-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-none-macosx_11_0_arm64.whl";
hash = "sha256-vuC9M9xYqo/Ip1J4dum5oOgSrQgSIFSlv/LOWr8AWxA=";
};
aarch64-darwin-39 = {
name = "torch-2.3.0-cp39-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-dg+L7f9QbOnm4QNJj5senhWAngCDaFlMOma/dKilE4A=";
name = "torch-2.3.1-cp39-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-none-macosx_11_0_arm64.whl";
hash = "sha256-K7WveAxVvmj+EA/rBSjS7eus4dVcsuNR3nNYCbpzkes=";
};
aarch64-darwin-310 = {
name = "torch-2.3.0-cp310-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp310-none-macosx_11_0_arm64.whl";
hash = "sha256-dY75ON6HomU7unS5H3A0WMFVafFWK/S2xjxi2cWgwfU=";
name = "torch-2.3.1-cp310-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-none-macosx_11_0_arm64.whl";
hash = "sha256-fAmpQ2J3hChIS8+ZX2AEsElSEGruDvRf8LS6tIT1SY0=";
};
aarch64-darwin-311 = {
name = "torch-2.3.0-cp311-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp311-none-macosx_11_0_arm64.whl";
hash = "sha256-0k4ygibY4q98+A/LHS8dEI4N4yd3+rSqorN7l2XYvnM=";
name = "torch-2.3.1-cp311-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-none-macosx_11_0_arm64.whl";
hash = "sha256-p91O04itHz1QK/CUU9X+WWx7Eh3n4M+soeIBd4Lpu6w=";
};
aarch64-darwin-312 = {
name = "torch-2.3.0-cp312-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp312-none-macosx_11_0_arm64.whl";
hash = "sha256-3KmGIUJns0Blp5AAzuVCMuYrQd/x7Cyrmrw/yLPe4K0=";
name = "torch-2.3.1-cp312-none-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp312-none-macosx_11_0_arm64.whl";
hash = "sha256-PDM9wuvBiVYVFO2gboHfIr+Ptk4jhHRrLLnwT5bR1Mg=";
};
aarch64-linux-38 = {
name = "torch-2.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-RunxqfQgKcBuY/v5yXE0PYsqCIZyO8T/McZ6m3pHNXM=";
name = "torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-O3wUmPkE9n6x4zHy6+h0J3GiznG57pvAHelnJX6IHH0=";
};
aarch64-linux-39 = {
name = "torch-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-N7zdkm811ccvGm0oIpczJEuyZTqPp3nEwQ3ZfjMNa6I=";
name = "torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-22v/S6YnO1muRD3gS1rcNtakC7KJiGYTO/8tUvJ26v4=";
};
aarch64-linux-310 = {
name = "torch-2.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-fiTBOMO6zIxRHGuCEfCcO/VH08vjdWMhrOwb3OQP7Gs=";
name = "torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-ZUT98pAYZowKbUobzJVZgsGtpwgGKBsBDLqTvc+9zyI=";
};
aarch64-linux-311 = {
name = "torch-2.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-FHmS068B4/KncqaId+iTeYnlfEIluCpJidPNlYLIvNE=";
name = "torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-Kq8ON3NMvF/mv8yBraNuy7iZ1N2+E0mL2EqsqKkchig=";
};
aarch64-linux-312 = {
name = "torch-2.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-bhOCYa8GzZAqgmUmCCreU0tmCTudj2/y1AHOQ5qiNQw=";
name = "torch-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
hash = "sha256-d9LeGklaHAf1ksM4oNWS5VzAudL4ADCeRqDqLA46KRk=";
};
};
}
14 changes: 7 additions & 7 deletions pkgs/development/python-modules/torch/default.nix
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Original file line number Diff line number Diff line change
Expand Up @@ -207,7 +207,7 @@ in
buildPythonPackage rec {
pname = "torch";
# Don't forget to update torch-bin to the same version.
version = "2.3.0";
version = "2.3.1";
pyproject = true;

disabled = pythonOlder "3.8.0";
Expand All @@ -225,7 +225,7 @@ buildPythonPackage rec {
repo = "pytorch";
rev = "refs/tags/v${version}";
fetchSubmodules = true;
hash = "sha256-UmH4Mv5QL7Mz4Y4pvxn8F1FGBR/UzYZjE2Ys8Oc0FWQ=";
hash = "sha256-vpgtOqzIDKgRuqdT8lB/g6j+oMIH1RPxdbjtlzZFjV8=";
};

patches =
Expand Down Expand Up @@ -499,7 +499,7 @@ buildPythonPackage rec {
++ lib.optionals MPISupport [ mpi ]
++ lib.optionals rocmSupport [ rocmtoolkit_joined ];

propagatedBuildInputs = [
dependencies = [
astunparse
cffi
click
Expand Down Expand Up @@ -629,18 +629,18 @@ buildPythonPackage rec {
cudaCapabilities = if cudaSupport then supportedCudaCapabilities else [ ];
};

meta = with lib; {
meta = {
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; [
license = lib.licenses.bsd3;
maintainers = with lib.maintainers; [
teh
thoughtpolice
tscholak
]; # tscholak esp. for darwin-related builds
platforms = with platforms; linux ++ lib.optionals (!cudaSupport && !rocmSupport) darwin;
platforms = with lib.platforms; linux ++ lib.optionals (!cudaSupport && !rocmSupport) darwin;
broken = builtins.any trivial.id (builtins.attrValues brokenConditions);
};
}
10 changes: 5 additions & 5 deletions pkgs/development/python-modules/torchaudio/bin.nix
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@

buildPythonPackage rec {
pname = "torchaudio";
version = "2.3.0";
version = "2.3.1";
format = "wheel";

src =
Expand Down Expand Up @@ -68,20 +68,20 @@ buildPythonPackage rec {

pythonImportsCheck = [ "torchaudio" ];

meta = with lib; {
meta = {
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;
sourceProvenance = with sourceTypes; [ binaryNativeCode ];
license = lib.licenses.bsd3;
sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ];
platforms = [
"aarch64-linux"
"x86_64-linux"
"aarch64-darwin"
];
maintainers = with maintainers; [ junjihashimoto ];
maintainers = with lib.maintainers; [ junjihashimoto ];
};
}
92 changes: 46 additions & 46 deletions pkgs/development/python-modules/torchaudio/binary-hashes.nix
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Original file line number Diff line number Diff line change
Expand Up @@ -7,81 +7,81 @@

version:
builtins.getAttr version {
"2.3.0" = {
"2.3.1" = {
x86_64-linux-38 = {
name = "torchaudio-2.3.0-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-Q/Iv/36izuH9uzAqE26aC51XFTUXaaYn1JDGfKzsCfQ=";
name = "torchaudio-2.3.1-cp38-cp38-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp38-cp38-linux_x86_64.whl";
hash = "sha256-4QoP0bNR6EnnzZ4ekw3KP/uMow+WI5vqEx8YP2WUXNs=";
};
x86_64-linux-39 = {
name = "torchaudio-2.3.0-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-4n2qE/jPQ8sLyq81TIEj7qlpBsg/FDNCZiCSvMH7atc=";
name = "torchaudio-2.3.1-cp39-cp39-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp39-cp39-linux_x86_64.whl";
hash = "sha256-bOv8CdkcpAPASLnPKuPWS09UzzGghYTQ0/v3+VAewNw=";
};
x86_64-linux-310 = {
name = "torchaudio-2.3.0-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-OLSTk/jDItyqKdGeWsv1oLGXjPG3GURatnDx+0huOqY=";
name = "torchaudio-2.3.1-cp310-cp310-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp310-cp310-linux_x86_64.whl";
hash = "sha256-C0I/SuM1bxH2cj6MdyCKw/k2Gk+UHkzAjYbDLBN1lLw=";
};
x86_64-linux-311 = {
name = "torchaudio-2.3.0-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-jdZpE+ewjGPHayGwcGEwwkruTtStwLwS+NYt+YtcbqA=";
name = "torchaudio-2.3.1-cp311-cp311-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp311-cp311-linux_x86_64.whl";
hash = "sha256-LZE2vzybarltxC8m9suDbUXRFfV2bhav9Sg1yOfN5WU=";
};
x86_64-linux-312 = {
name = "torchaudio-2.3.0-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-IA7PUlHYPRTook/X9V3odqrSVR/5jqvxzdhCeQXJXFU=";
name = "torchaudio-2.3.1-cp312-cp312-linux_x86_64.whl";
url = "https://download.pytorch.org/whl/cu121/torchaudio-2.3.1%2Bcu121-cp312-cp312-linux_x86_64.whl";
hash = "sha256-sAdz3eOqMNmxuYh1ZQQo+/tp/jC5jrtc7/vY/GHegSU=";
};
aarch64-darwin-38 = {
name = "torchaudio-2.3.0-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.0-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-e6kyZUVdw2M4XpjAz8rrWGt0Aa+KLIJIEe4UZhNKTzA=";
name = "torchaudio-2.3.1-cp38-cp38-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp38-cp38-macosx_11_0_arm64.whl";
hash = "sha256-zkXgWs1URpbGpvAj1P6GFK3ldRV5mhEDskGOhUg41KU=";
};
aarch64-darwin-39 = {
name = "torchaudio-2.3.0-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.0-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-9Lkzd28go2r13cV5aPyz2jTdA4gduNZ2Dz4RdoA7nPg=";
name = "torchaudio-2.3.1-cp39-cp39-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.1-cp39-cp39-macosx_11_0_arm64.whl";
hash = "sha256-NujAtlMlccJ6CKQNrkKM00ryJQB/FbzXcnJkO2JmuB0=";
};
aarch64-darwin-310 = {
name = "torchaudio-2.3.0-cp310-cp310-macosx_11_0_arm64.whl";
url = "https://download.pytorch.org/whl/cpu/torchaudio-2.3.0-cp310-cp310-macosx_11_0_arm64.whl";
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};
};
}
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