Commit 6016fa7d authored by Gaetan Lepage's avatar Gaetan Lepage
Browse files

python311Packages.torch-bin: 2.3.0 -> 2.3.1 

Diff: https://github.com/pytorch/pytorch/compare/v2.3.0...v2.3.1

Changelog: https://github.com/pytorch/pytorch/releases/tag/v2.3.1
parent 4801966c

pkgs/development/python-modules/torch/bin.nix

+6 −6
Original line number Diff line number Diff line
@@ -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;
@@ -75,7 +75,7 @@ buildPythonPackage { 
    "libcuda.so.1"

  ];



  propagatedBuildInputs = [

  dependencies = [

    future

    numpy

    pyyaml
@@ -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}";
@@ -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 ];

  };

}

pkgs/development/python-modules/torch/binary-hashes.nix

+46 −46
Original line number Diff line number Diff line
@@ -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=";

    };

  };

}