Clone of https://github.com/NixOS/nixpkgs.git (to stress-test knotserver)
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 "0.22.1" = { 11 x86_64-linux-39 = { 12 name = "torchvision-0.22.1-cp39-cp39-linux_x86_64.whl"; 13 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.1%2Bcu128-cp39-cp39-manylinux_2_28_x86_64.whl"; 14 hash = "sha256-UfJbwdKLA32YoUFckXRBcmJE2KAJcZB+bfsA7MwxNl8="; 15 }; 16 x86_64-linux-310 = { 17 name = "torchvision-0.22.1-cp310-cp310-linux_x86_64.whl"; 18 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.1%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl"; 19 hash = "sha256-U49NtmcobZObTu4KZtMe0htRGGZoAGsOD/4gM47MfgA="; 20 }; 21 x86_64-linux-311 = { 22 name = "torchvision-0.22.1-cp311-cp311-linux_x86_64.whl"; 23 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.1%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl"; 24 hash = "sha256-klaKxGsTqMiLYViYALG5xGKb4JHqfOCA/G/GIuEeCRU="; 25 }; 26 x86_64-linux-312 = { 27 name = "torchvision-0.22.1-cp312-cp312-linux_x86_64.whl"; 28 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.1%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl"; 29 hash = "sha256-9k75u5HXGrNdg4SRKhn3QZ41koaFvGdUTVj0UUgzQ3M="; 30 }; 31 x86_64-linux-313 = { 32 name = "torchvision-0.22.1-cp313-cp313-linux_x86_64.whl"; 33 url = "https://download.pytorch.org/whl/cu128/torchvision-0.22.1%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl"; 34 hash = "sha256-vE/vGTkXtR22tAms0//eyShth3uqwK7l3Pu3JZLQC/w="; 35 }; 36 aarch64-darwin-39 = { 37 name = "torchvision-0.22.1-cp39-cp39-macosx_11_0_arm64.whl"; 38 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp39-cp39-macosx_11_0_arm64.whl"; 39 hash = "sha256-i+lBtNNcCrqBm+cP27vtjOtgQBzmmWuM+quhMAzmImM="; 40 }; 41 aarch64-darwin-310 = { 42 name = "torchvision-0.22.1-cp310-cp310-macosx_11_0_arm64.whl"; 43 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp310-cp310-macosx_11_0_arm64.whl"; 44 hash = "sha256-O0fYNp7laMBneVwNoLQHjzmp3+pvO8HzrIdTDf2h3VY="; 45 }; 46 aarch64-darwin-311 = { 47 name = "torchvision-0.22.1-cp311-cp311-macosx_11_0_arm64.whl"; 48 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp311-cp311-macosx_11_0_arm64.whl"; 49 hash = "sha256-St32JuK1f8Iv1tMpzxNG1HRJdnLmr4ODt7W2NvupSlM="; 50 }; 51 aarch64-darwin-312 = { 52 name = "torchvision-0.22.1-cp312-cp312-macosx_11_0_arm64.whl"; 53 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp312-cp312-macosx_11_0_arm64.whl"; 54 hash = "sha256-FT8XkOUFvW2hI+Ie7m6D4uFV3wXA/n1WNHMDBn2FQ8U="; 55 }; 56 aarch64-darwin-313 = { 57 name = "torchvision-0.22.1-cp313-cp313-macosx_11_0_arm64.whl"; 58 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp313-cp313-macosx_11_0_arm64.whl"; 59 hash = "sha256-nDrjMZYkxDzIEnAg9GwUqoeEBngfCJm7YoOuR0r+r78="; 60 }; 61 aarch64-linux-39 = { 62 name = "torchvision-0.22.1-cp39-cp39-linux_aarch64.whl"; 63 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp39-cp39-manylinux_2_28_aarch64.whl"; 64 hash = "sha256-FUor3DehYSLCAk8vd+ZfWYYCC0DAE1FcaUtdNX+smaE="; 65 }; 66 aarch64-linux-310 = { 67 name = "torchvision-0.22.1-cp310-cp310-linux_aarch64.whl"; 68 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp310-cp310-manylinux_2_28_aarch64.whl"; 69 hash = "sha256-mQ3k1lekHtcWgM2L4umOvKtVNx8wmT3JvS5nZEH3GA4="; 70 }; 71 aarch64-linux-311 = { 72 name = "torchvision-0.22.1-cp311-cp311-linux_aarch64.whl"; 73 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp311-cp311-manylinux_2_28_aarch64.whl"; 74 hash = "sha256-i0pTpgZ9Y626DFLyuN0ikNtknWQgIWdO5DwMki8Mamk="; 75 }; 76 aarch64-linux-312 = { 77 name = "torchvision-0.22.1-cp312-cp312-linux_aarch64.whl"; 78 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp312-cp312-manylinux_2_28_aarch64.whl"; 79 hash = "sha256-lkQU7vGUWdVaEOiG4vylBndVDiQ1htFnj2Xj9va6xHo="; 80 }; 81 aarch64-linux-313 = { 82 name = "torchvision-0.22.1-cp313-cp313-linux_aarch64.whl"; 83 url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1-cp313-cp313-manylinux_2_28_aarch64.whl"; 84 hash = "sha256-SmFKakCNLtdCCNDqbCii+7aCkOmn3yBsX+8/C2hl0wc="; 85 }; 86 }; 87}