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

   1 # Warning: use the same CUDA version as torch-bin.
   2 #
   3 # Precompiled wheels can be found at:
   4 # https://download.pytorch.org/whl/torch_stable.html
   5
   6 # To add a new version, run "prefetch.sh 'new-version'" to paste the generated file as follows.
   7
   8 version:
   9 builtins.getAttr version {
  10   "2.5.1" = {
  11     x86_64-linux-39 = {
  12       name = "torch-2.5.1-cp39-cp39-linux_x86_64.whl";
  13       url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp39-cp39-linux_x86_64.whl";
  14       hash = "sha256-1oG4vj/cLNQREjENs8OQT3xqCaeuKNBCrgrzrwHI/No=";
  15     };
  16     x86_64-linux-310 = {
  17       name = "torch-2.5.1-cp310-cp310-linux_x86_64.whl";
  18       url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp310-cp310-linux_x86_64.whl";
  19       hash = "sha256-nd4w85nKIhN0Vcyk1HFA37f0F24tFqlyn8BE7r+tsTo=";
  20     };
  21     x86_64-linux-311 = {
  22       name = "torch-2.5.1-cp311-cp311-linux_x86_64.whl";
  23       url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp311-cp311-linux_x86_64.whl";
  24       hash = "sha256-aylm7emv/i/WngdlaRynI+yHDgw0x3YfTVuOMYOD/a8=";
  25     };
  26     x86_64-linux-312 = {
  27       name = "torch-2.5.1-cp312-cp312-linux_x86_64.whl";
  28       url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp312-cp312-linux_x86_64.whl";
  29       hash = "sha256-v2SEv+W8T5KkoaG/VTBBUF4ZqRH3FwZTMOsGGv4OFNc=";
  30     };
  31     aarch64-darwin-39 = {
  32       name = "torch-2.5.1-cp39-none-macosx_11_0_arm64.whl";
  33       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp39-none-macosx_11_0_arm64.whl";
  34       hash = "sha256-gEZ2i39tNbhdEBtLOMuoqi881RlSvEwGpJWA8s5oIpE=";
  35     };
  36     aarch64-darwin-310 = {
  37       name = "torch-2.5.1-cp310-none-macosx_11_0_arm64.whl";
  38       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp310-none-macosx_11_0_arm64.whl";
  39       hash = "sha256-I9Biv3B3aj0E2+dNuVDbKlJF4bpPJyCKh/DXQ7DQboY=";
  40     };
  41     aarch64-darwin-311 = {
  42       name = "torch-2.5.1-cp311-none-macosx_11_0_arm64.whl";
  43       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp311-none-macosx_11_0_arm64.whl";
  44       hash = "sha256-MfjDlmCWL5rk7uyZXjBJtUkutzYN1PBzd2WO9Nco+kw=";
  45     };
  46     aarch64-darwin-312 = {
  47       name = "torch-2.5.1-cp312-none-macosx_11_0_arm64.whl";
  48       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp312-none-macosx_11_0_arm64.whl";
  49       hash = "sha256-jHEt9hEBlk6xGRCoRlFAEfC29ZIMVdv1Z7/4o0Fj1bE=";
  50     };
  51     aarch64-linux-39 = {
  52       name = "torch-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  53       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  54       hash = "sha256-x09z2hefp+qiFnqwtJPyZ65IGmwAckniZ0y9C69KXME=";
  55     };
  56     aarch64-linux-310 = {
  57       name = "torch-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  58       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  59       hash = "sha256-JpsQw0Qwqo6WQ9vgNdxSXEqbHWcc09vI7Lyu0oCuMi0=";
  60     };
  61     aarch64-linux-311 = {
  62       name = "torch-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  63       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  64       hash = "sha256-1bMgPxkbxAeDyZSI0ud23Pk6xDGllJHWJ6HKWzriCyI=";
  65     };
  66     aarch64-linux-312 = {
  67       name = "torch-2.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  68       url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
  69       hash = "sha256-NtG+mSgbb2Atljm9CvPuAAbnqrFvZxjYb3CdOVtvJiw=";
  70     };
  71   };
  72 }