pkgs/development/python-modules/torchvision/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 : builtins.getAttr version {
   9   "0.13.1" = {
  10     x86_64-linux-37 = {
  11       name = "torchvision-0.13.1-cp37-cp37m-linux_x86_64.whl";
  12       url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp37-cp37m-linux_x86_64.whl";
  13       hash = "sha256-3PMvbZmEk+duwho4u7hWt0Ailc96Z/sJzlvefn5yV1Y=";
  14     };
  15     x86_64-linux-38 = {
  16       name = "torchvision-0.13.1-cp38-cp38-linux_x86_64.whl";
  17       url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp38-cp38-linux_x86_64.whl";
  18       hash = "sha256-w86ys/RW8MmEr3HvVfhjfxeKKdw+E6ZvuwEM7q0okeE=";
  19     };
  20     x86_64-linux-39 = {
  21       name = "torchvision-0.13.1-cp39-cp39-linux_x86_64.whl";
  22       url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp39-cp39-linux_x86_64.whl";
  23       hash = "sha256-dZhqvlchOCWOuXlctM1z9Asr34N0/voa9v9rsNvJcsY=";
  24     };
  25     x86_64-linux-310 = {
  26       name = "torchvision-0.13.1-cp310-cp310-linux_x86_64.whl";
  27       url = "https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp310-cp310-linux_x86_64.whl";
  28       hash = "sha256-DJorYFrDD89HXWD3m6N4rwBzoi3lhUU/jD3WwUUqubw=";
  29     };
  30     x86_64-darwin-37 = {
  31       name = "torchvision-0.13.1-cp37-cp37m-macosx_10_9_x86_64.whl";
  32       url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp37-cp37m-macosx_10_9_x86_64.whl";
  33       hash = "sha256-XmMSQb7jZh3mT4NhZlYiSvLjUS6yWA2nwI4IuMllqKw=";
  34     };
  35     x86_64-darwin-38 = {
  36       name = "torchvision-0.13.1-cp38-cp38-macosx_10_9_x86_64.whl";
  37       url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp38-cp38-macosx_10_9_x86_64.whl";
  38       hash = "sha256-8jChpA7XDVHkY85D3yQ+xSCQL4cl3iUC5IXvxe6p2GQ=";
  39     };
  40     x86_64-darwin-39 = {
  41       name = "torchvision-0.13.1-cp39-cp39-macosx_10_9_x86_64.whl";
  42       url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp39-cp39-macosx_10_9_x86_64.whl";
  43       hash = "sha256-Api647Caw2GGYIhDQAjYK5nWRY/oiIyN+Qcg70s0fUQ=";
  44     };
  45     x86_64-darwin-310 = {
  46       name = "torchvision-0.13.1-cp310-cp310-macosx_10_9_x86_64.whl";
  47       url = "https://download.pytorch.org/whl/torchvision-0.13.1-cp310-cp310-macosx_10_9_x86_64.whl";
  48       hash = "sha256-GShqczxp3L1Be4Z5PfgHvSJ9tXhu14fBcpd0GpsND8c=";
  49     };
  50     aarch64-darwin-38 = {
  51       name = "torchvision-0.13.1-cp38-cp38-macosx_11_0_arm64.whl";
  52       url = "https://download.pytorch.org/whl/cpu/torchvision-0.13.1-cp38-cp38-macosx_11_0_arm64.whl";
  53       hash = "sha256-6aVjiU+fpAaS4k0apYw+8EBFABfP7TWY/5Y39ATz/js=";
  54     };
  55     aarch64-darwin-39 = {
  56       name = "torchvision-0.13.1-cp39-cp39-macosx_11_0_arm64.whl";
  57       url = "https://download.pytorch.org/whl/cpu/torchvision-0.13.1-cp39-cp39-macosx_11_0_arm64.whl";
  58       hash = "sha256-xe1gnIvIjFdSJkALIjLgMJCUR3yCrziVLgNz7e8AA/0=";
  59     };
  60     aarch64-darwin-310 = {
  61       name = "torchvision-0.13.1-cp310-cp310-macosx_11_0_arm64.whl";
  62       url = "https://download.pytorch.org/whl/cpu/torchvision-0.13.1-cp310-cp310-macosx_11_0_arm64.whl";
  63       hash = "sha256-CPWS6mGDbr7Otcl/TXqBO519xlG7985EAVY8z65qIfw=";
  64     };
  65   };
  66 }