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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 "0.23.0" = { 11 x86_64-linux-39 = { 12 name = "torchvision-0.23.0-cp39-cp39-linux_x86_64.whl"; 13 url = "https://download.pytorch.org/whl/cu128/torchvision-0.23.0%2Bcu128-cp39-cp39-manylinux_2_28_x86_64.whl"; 14 hash = "sha256-eE/JDLlw5aKbJLZEHkYfW/YWhGMFuXk/o4cKnyltTA4="; 15 }; 16 x86_64-linux-310 = { 17 name = "torchvision-0.23.0-cp310-cp310-linux_x86_64.whl"; 18 url = "https://download.pytorch.org/whl/cu128/torchvision-0.23.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl"; 19 hash = "sha256-RgvI1w9jvbQzpzUd7MLBrhkD9/N45KdhT8joyXpcNqo="; 20 }; 21 x86_64-linux-311 = { 22 name = "torchvision-0.23.0-cp311-cp311-linux_x86_64.whl"; 23 url = "https://download.pytorch.org/whl/cu128/torchvision-0.23.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl"; 24 hash = "sha256-k/G19WsgzWhpvKQJQ95P08qczFbhtX9HxnHeHNqznNs="; 25 }; 26 x86_64-linux-312 = { 27 name = "torchvision-0.23.0-cp312-cp312-linux_x86_64.whl"; 28 url = "https://download.pytorch.org/whl/cu128/torchvision-0.23.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl"; 29 hash = "sha256-nLPBOZevy0QFfKENlDxsTLowaK/eDzcJZavOnIn8/6k="; 30 }; 31 x86_64-linux-313 = { 32 name = "torchvision-0.23.0-cp313-cp313-linux_x86_64.whl"; 33 url = "https://download.pytorch.org/whl/cu128/torchvision-0.23.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl"; 34 hash = "sha256-xjmC8Zc7pnezfmZj3w4Hy1OBRZtvBXLCypXuvY3+t0I="; 35 }; 36 aarch64-darwin-39 = { 37 name = "torchvision-0.23.0-cp39-cp39-macosx_11_0_arm64.whl"; 38 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp39-cp39-macosx_11_0_arm64.whl"; 39 hash = "sha256-sZDbIF+QIGwjD8L5HL39VzMzS6vA4NGb3bkKQLjPJsI="; 40 }; 41 aarch64-darwin-310 = { 42 name = "torchvision-0.23.0-cp310-cp310-macosx_11_0_arm64.whl"; 43 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp310-cp310-macosx_11_0_arm64.whl"; 44 hash = "sha256-cmaHHaygCtRtHAc+VdlyF50SpY+lya3smj25u+1xKEo="; 45 }; 46 aarch64-darwin-311 = { 47 name = "torchvision-0.23.0-cp311-cp311-macosx_11_0_arm64.whl"; 48 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp311-cp311-macosx_11_0_arm64.whl"; 49 hash = "sha256-Saog4h8MK9RYxx17RJd2y9XxZpPdWAcZWoIGEriiKbc="; 50 }; 51 aarch64-darwin-312 = { 52 name = "torchvision-0.23.0-cp312-cp312-macosx_11_0_arm64.whl"; 53 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp312-cp312-macosx_11_0_arm64.whl"; 54 hash = "sha256-4OLASpFAPo3Tr5dWxqAkodnA7ZwNWSqDFN7Y9P4w1EA="; 55 }; 56 aarch64-darwin-313 = { 57 name = "torchvision-0.23.0-cp313-cp313-macosx_11_0_arm64.whl"; 58 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp313-cp313-macosx_11_0_arm64.whl"; 59 hash = "sha256-HDfjJeCaGEtzDD71FCTzg+xXRTeNwOyiRFIKyilyJgA="; 60 }; 61 aarch64-linux-39 = { 62 name = "torchvision-0.23.0-cp39-cp39-linux_aarch64.whl"; 63 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp39-cp39-manylinux_2_28_aarch64.whl"; 64 hash = "sha256-bHTLwcvuJt1PNfmJzYDczEBBHyWN7kdrKYcd7ktIOvA="; 65 }; 66 aarch64-linux-310 = { 67 name = "torchvision-0.23.0-cp310-cp310-linux_aarch64.whl"; 68 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp310-cp310-manylinux_2_28_aarch64.whl"; 69 hash = "sha256-McWDuidCajoE7KjAVFBSQQXBVk20G+ZjL3U270BabeI="; 70 }; 71 aarch64-linux-311 = { 72 name = "torchvision-0.23.0-cp311-cp311-linux_aarch64.whl"; 73 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp311-cp311-manylinux_2_28_aarch64.whl"; 74 hash = "sha256-Adwz7iTHkUiu582880roo8naFnSlkeeBV3txbSM7H6Y="; 75 }; 76 aarch64-linux-312 = { 77 name = "torchvision-0.23.0-cp312-cp312-linux_aarch64.whl"; 78 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp312-cp312-manylinux_2_28_aarch64.whl"; 79 hash = "sha256-bdfE0ymg4DFXgDAxvIViIMYVXvCMJtT1u6yTis7PCUg="; 80 }; 81 aarch64-linux-313 = { 82 name = "torchvision-0.23.0-cp313-cp313-linux_aarch64.whl"; 83 url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0-cp313-cp313-manylinux_2_28_aarch64.whl"; 84 hash = "sha256-L3/WwV82l+gGJ7d5NPd3BfO8Dpgni5ibJlXeAfaQPh0="; 85 }; 86 }; 87}