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 : builtins.getAttr version {
9 "0.15.2" = {
10 x86_64-linux-38 = {
11 name = "torchvision-0.15.2-cp38-cp38-linux_x86_64.whl";
12 url = "https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp38-cp38-linux_x86_64.whl";
13 hash = "sha256-r2gH1eWZ/lOByRYjWlWBQH6FDrd8PUOJnzehUR/4HMA=";
14 };
15 x86_64-linux-39 = {
16 name = "torchvision-0.15.2-cp39-cp39-linux_x86_64.whl";
17 url = "https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp39-cp39-linux_x86_64.whl";
18 hash = "sha256-8sb1oQC8+QILgvXUyHzX4mrwQJzzO5D7eXsRJ9zULeY=";
19 };
20 x86_64-linux-310 = {
21 name = "torchvision-0.15.2-cp310-cp310-linux_x86_64.whl";
22 url = "https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-linux_x86_64.whl";
23 hash = "sha256-GcpKtdYXm75Tz/ed8ahV7mUzwoYd3HOJ9oNJ2Ln4MCo=";
24 };
25 x86_64-linux-311 = {
26 name = "torchvision-0.15.2-cp311-cp311-linux_x86_64.whl";
27 url = "https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp311-cp311-linux_x86_64.whl";
28 hash = "sha256-3vmvR+vCytVcWqLa0SMNz0Jhgz7W34pz6Dm8Izdk8J4=";
29 };
30 x86_64-darwin-38 = {
31 name = "torchvision-0.15.2-cp38-cp38-macosx_10_9_x86_64.whl";
32 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp38-cp38-macosx_10_9_x86_64.whl";
33 hash = "sha256-jxJBW2htuohPsIb1OsgD9pK+WlzdinWPUIErMP/+ouQ=";
34 };
35 x86_64-darwin-39 = {
36 name = "torchvision-0.15.2-cp39-cp39-macosx_10_9_x86_64.whl";
37 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp39-cp39-macosx_10_9_x86_64.whl";
38 hash = "sha256-R5AmD89HikHH7MYKbVIAqIFZ/djXVunynw+MWcSmemg=";
39 };
40 x86_64-darwin-310 = {
41 name = "torchvision-0.15.2-cp310-cp310-macosx_10_9_x86_64.whl";
42 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp310-cp310-macosx_10_9_x86_64.whl";
43 hash = "sha256-d1QIh3ToEMVnKxQqRdzyCxvZhqWn2pD4ZgxD3EP7hQw=";
44 };
45 x86_64-darwin-311 = {
46 name = "torchvision-0.15.2-cp311-cp311-macosx_10_9_x86_64.whl";
47 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp311-cp311-macosx_10_9_x86_64.whl";
48 hash = "sha256-XzX2vVvMRWjmUi5BN/pg/McvT6PmFTIcJs2H6FWs05g=";
49 };
50 aarch64-darwin-38 = {
51 name = "torchvision-0.15.2-cp38-cp38-macosx_11_0_arm64.whl";
52 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp38-cp38-macosx_11_0_arm64.whl";
53 hash = "sha256-MSEcAfi47DO4pjgye1RjIS55oD5DyJX4gEn5evG9Ev0=";
54 };
55 aarch64-darwin-39 = {
56 name = "torchvision-0.15.2-cp39-cp39-macosx_11_0_arm64.whl";
57 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp39-cp39-macosx_11_0_arm64.whl";
58 hash = "sha256-mHq2IiW0FRoR5T/QYVDFJYztJKydfFR+Dkq2+8qSpc4=";
59 };
60 aarch64-darwin-310 = {
61 name = "torchvision-0.15.2-cp310-cp310-macosx_11_0_arm64.whl";
62 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp310-cp310-macosx_11_0_arm64.whl";
63 hash = "sha256-N+sTjhP2ISU3owCawhhpVIOmNcQEtswdjg0Nl4AmqG0=";
64 };
65 aarch64-darwin-311 = {
66 name = "torchvision-0.15.2-cp311-cp311-macosx_11_0_arm64.whl";
67 url = "https://download.pytorch.org/whl/cpu/torchvision-0.15.2-cp311-cp311-macosx_11_0_arm64.whl";
68 hash = "sha256-dXUFoKsr5wlsudK/RyMgLJcczt23LHlSp+h393PeD4o=";
69 };
70 };
71}