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}