at 25.11-pre 4.5 kB view raw
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 8version: 9builtins.getAttr version { 10 "0.22.0" = { 11 x86_64-linux-39 = { 12 name = "torchvision-0.22.0-cp39-cp39-linux_x86_64.whl"; 13 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.0%2Bcu128-cp39-cp39-manylinux_2_28_x86_64.whl"; 14 hash = "sha256-ySo1P/gtszEmRLWybUELWGtylptTWUjVhMJHVp91YFw="; 15 }; 16 x86_64-linux-310 = { 17 name = "torchvision-0.22.0-cp310-cp310-linux_x86_64.whl"; 18 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl"; 19 hash = "sha256-Wd9aVQETqAzlIwRwZuqu2xaMaUgtqIw6skZxarRboJI="; 20 }; 21 x86_64-linux-311 = { 22 name = "torchvision-0.22.0-cp311-cp311-linux_x86_64.whl"; 23 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl"; 24 hash = "sha256-86xSfVi0wgQ+uNnin8Vs0XUfNvKqptx1407FTJUby5w="; 25 }; 26 x86_64-linux-312 = { 27 name = "torchvision-0.22.0-cp312-cp312-linux_x86_64.whl"; 28 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl"; 29 hash = "sha256-BsEB9A4f+UhpvhRIfJH9U1LjdvIC/er7j1PFjO4vvrU="; 30 }; 31 x86_64-linux-313 = { 32 name = "torchvision-0.22.0-cp313-cp313-linux_x86_64.whl"; 33 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl"; 34 hash = "sha256-7k+m1AUtmuJcEjMomUf7+kuI0jcQJUqxdysQjB/F+00="; 35 }; 36 aarch64-darwin-39 = { 37 name = "torchvision-0.22.0-cp39-cp39-macosx_11_0_arm64.whl"; 38 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp39-cp39-macosx_11_0_arm64.whl"; 39 hash = "sha256-LvOKOX8bnPYoRvsgZZy5kQH502HejEXXkoTuRcb0DVA="; 40 }; 41 aarch64-darwin-310 = { 42 name = "torchvision-0.22.0-cp310-cp310-macosx_11_0_arm64.whl"; 43 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp310-cp310-macosx_11_0_arm64.whl"; 44 hash = "sha256-ciVvHX/1ELFsn7TdSIWE0Gk/QMeS8oapYgZ0Q4qBzMo="; 45 }; 46 aarch64-darwin-311 = { 47 name = "torchvision-0.22.0-cp311-cp311-macosx_11_0_arm64.whl"; 48 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp311-cp311-macosx_11_0_arm64.whl"; 49 hash = "sha256-GR6igyH8Ji2Koaf+ecQf8oSIZL84L59upFxB3egxN5I="; 50 }; 51 aarch64-darwin-312 = { 52 name = "torchvision-0.22.0-cp312-cp312-macosx_11_0_arm64.whl"; 53 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp312-cp312-macosx_11_0_arm64.whl"; 54 hash = "sha256-McMWVBj+IcPYH+NFnlEHfC+UiAG4kz7RgWn1RlJ5ag8="; 55 }; 56 aarch64-darwin-313 = { 57 name = "torchvision-0.22.0-cp313-cp313-macosx_11_0_arm64.whl"; 58 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp313-cp313-macosx_11_0_arm64.whl"; 59 hash = "sha256-7OF5lYV90yhIXJwCfAsg/8UtsjLjDIT/bJWrdyAREsU="; 60 }; 61 aarch64-linux-39 = { 62 name = "torchvision-0.22.0-cp39-cp39-linux_aarch64.whl"; 63 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp39-cp39-manylinux_2_28_aarch64.whl"; 64 hash = "sha256-QJX6wrLkmpww9wHgnsG989EbHkiwBqdqkBWi7Ys5VW4="; 65 }; 66 aarch64-linux-310 = { 67 name = "torchvision-0.22.0-cp310-cp310-linux_aarch64.whl"; 68 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp310-cp310-manylinux_2_28_aarch64.whl"; 69 hash = "sha256-gQ6krzvGPPOeg0+R9CGP9ZmSccqv/iRWJH35BQAr1sA="; 70 }; 71 aarch64-linux-311 = { 72 name = "torchvision-0.22.0-cp311-cp311-linux_aarch64.whl"; 73 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp311-cp311-manylinux_2_28_aarch64.whl"; 74 hash = "sha256-bFYg4Q/+OI629HRJYhBu188VCNJub9+gwQUi0ySa6iQ="; 75 }; 76 aarch64-linux-312 = { 77 name = "torchvision-0.22.0-cp312-cp312-linux_aarch64.whl"; 78 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp312-cp312-manylinux_2_28_aarch64.whl"; 79 hash = "sha256-jxFryC4MB25wund25hHtOSuWZqpENmLmh4CLCJk9Jq8="; 80 }; 81 aarch64-linux-313 = { 82 name = "torchvision-0.22.0-cp313-cp313-linux_aarch64.whl"; 83 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.0-cp313-cp313-manylinux_2_28_aarch64.whl"; 84 hash = "sha256-Rxxt11u5hMbr5PYDIolKKQvz1LGV52nYB1TzaJzX8jg="; 85 }; 86 }; 87}