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 "0.20.1" = {
11 x86_64-linux-39 = {
12 name = "torchvision-0.20.1-cp39-cp39-linux_x86_64.whl";
13 url = "https://download.pytorch.org/whl/cu124/torchvision-0.20.1%2Bcu124-cp39-cp39-linux_x86_64.whl";
14 hash = "sha256-C/Tizgi8dJVzTcVAlTxlmQ5C67fJ7Sfi/3lRVLrvXMA=";
15 };
16 x86_64-linux-310 = {
17 name = "torchvision-0.20.1-cp310-cp310-linux_x86_64.whl";
18 url = "https://download.pytorch.org/whl/cu124/torchvision-0.20.1%2Bcu124-cp310-cp310-linux_x86_64.whl";
19 hash = "sha256-OgVeTpBAsSmHjVfDnbVfEX+XWJn/MN1wyPJiHZEXDb4=";
20 };
21 x86_64-linux-311 = {
22 name = "torchvision-0.20.1-cp311-cp311-linux_x86_64.whl";
23 url = "https://download.pytorch.org/whl/cu124/torchvision-0.20.1%2Bcu124-cp311-cp311-linux_x86_64.whl";
24 hash = "sha256-pffrXvIvNKfRj8vCe2wB993lzVMN8xHNvdMRafkcvZg=";
25 };
26 x86_64-linux-312 = {
27 name = "torchvision-0.20.1-cp312-cp312-linux_x86_64.whl";
28 url = "https://download.pytorch.org/whl/cu124/torchvision-0.20.1%2Bcu124-cp312-cp312-linux_x86_64.whl";
29 hash = "sha256-0QU+xQVFSefawmE7FRv/4yPzySSTnSlt9NfTSSWq860=";
30 };
31 aarch64-darwin-39 = {
32 name = "torchvision-0.20.1-cp39-cp39-macosx_11_0_arm64.whl";
33 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp39-cp39-macosx_11_0_arm64.whl";
34 hash = "sha256-LNWEBpeLgTGIz06RNbIYd1tX4LuG1KiPAzmHS4oiSBk=";
35 };
36 aarch64-darwin-310 = {
37 name = "torchvision-0.20.1-cp310-cp310-macosx_11_0_arm64.whl";
38 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp310-cp310-macosx_11_0_arm64.whl";
39 hash = "sha256-SHj++5bvKT0GwnIQkYrcg8OZ2fqvNM2lpj4Sn3cjKPE=";
40 };
41 aarch64-darwin-311 = {
42 name = "torchvision-0.20.1-cp311-cp311-macosx_11_0_arm64.whl";
43 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp311-cp311-macosx_11_0_arm64.whl";
44 hash = "sha256-NEsznhXmu7We4HAHcmFtCv79IJkgx2KxYENo2MNFgyI=";
45 };
46 aarch64-darwin-312 = {
47 name = "torchvision-0.20.1-cp312-cp312-macosx_11_0_arm64.whl";
48 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp312-cp312-macosx_11_0_arm64.whl";
49 hash = "sha256-GjElb/lF1k8Aa7MGgTp8laUx/ha/slNcg33UwQRTPXo=";
50 };
51 aarch64-linux-39 = {
52 name = "torchvision-0.20.1-cp39-cp39-linux_aarch64.whl";
53 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp39-cp39-linux_aarch64.whl";
54 hash = "sha256-q8uABd6Nw5Pb0TEOy2adxoq2ZLkQevbWmKY0HR0/LDw=";
55 };
56 aarch64-linux-310 = {
57 name = "torchvision-0.20.1-cp310-cp310-linux_aarch64.whl";
58 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp310-cp310-linux_aarch64.whl";
59 hash = "sha256-dfik1RpZPEurbJv311vdiGkbAKU7B2VmeLxVo6dT3XM=";
60 };
61 aarch64-linux-311 = {
62 name = "torchvision-0.20.1-cp311-cp311-linux_aarch64.whl";
63 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp311-cp311-linux_aarch64.whl";
64 hash = "sha256-pA12Y0WSdjnaMixpOTTl+RsboiGIRscQS4aN6iMUzo4=";
65 };
66 aarch64-linux-312 = {
67 name = "torchvision-0.20.1-cp312-cp312-linux_aarch64.whl";
68 url = "https://download.pytorch.org/whl/cpu/torchvision-0.20.1-cp312-cp312-linux_aarch64.whl";
69 hash = "sha256-n4U7pEl6xGkYFa1BtSPuI89bpPh7HOhp1wQFLiM8qLc=";
70 };
71 };
72}