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}