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}