tjh.dev
nixpkgs mirror (for testing)
github.com/NixOS/nixpkgs
nix
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 "0.25.0" = {
11 x86_64-linux-310 = {
12 name = "torchvision-0.25.0-cp310-cp310-linux_x86_64.whl";
13 url = "https://download.pytorch.org/whl/cu128/torchvision-0.25.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl";
14 hash = "sha256-QzUMoRPp8iTe25Cw28MYU/3k8yJ5TL5KdYn8yrV2jww=";
15 };
16 x86_64-linux-311 = {
17 name = "torchvision-0.25.0-cp311-cp311-linux_x86_64.whl";
18 url = "https://download.pytorch.org/whl/cu128/torchvision-0.25.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl";
19 hash = "sha256-6/K0lcdgl3lrmi6skpDvvK6W4P2eWuUsQO/xiGELtEA=";
20 };
21 x86_64-linux-312 = {
22 name = "torchvision-0.25.0-cp312-cp312-linux_x86_64.whl";
23 url = "https://download.pytorch.org/whl/cu128/torchvision-0.25.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl";
24 hash = "sha256-ElWgyiv5h6z58QO5bFxM/jQV/Eoe7xf6CK9SegSk9XM=";
25 };
26 x86_64-linux-313 = {
27 name = "torchvision-0.25.0-cp313-cp313-linux_x86_64.whl";
28 url = "https://download.pytorch.org/whl/cu128/torchvision-0.25.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl";
29 hash = "sha256-qcDeiT3OnCkTyceuiKkWkQ+S0CuZ2hSWeIBtGOgHnyk=";
30 };
31 x86_64-linux-314 = {
32 name = "torchvision-0.25.0-cp314-cp314-linux_x86_64.whl";
33 url = "https://download.pytorch.org/whl/cu128/torchvision-0.25.0%2Bcu128-cp314-cp314-manylinux_2_28_x86_64.whl";
34 hash = "sha256-W3rT+2zwPvKi/WF8tLTkHvqbsBQ8Z/UGwqPmdlx7Eq0=";
35 };
36 aarch64-darwin-310 = {
37 name = "torchvision-0.25.0-cp310-cp310-macosx_11_0_arm64.whl";
38 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0-cp310-cp310-macosx_11_0_arm64.whl";
39 hash = "sha256-eBCEGRaiqHDL+1gfQIS1lHmQj7nbbt/feBOZMTkthnc=";
40 };
41 aarch64-darwin-311 = {
42 name = "torchvision-0.25.0-cp311-cp311-macosx_11_0_arm64.whl";
43 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0-cp311-cp311-macosx_11_0_arm64.whl";
44 hash = "sha256-p2znuNT84pGiVyHuL5IceDrMbb1Pwy3HQe0qHVqN3i8=";
45 };
46 aarch64-darwin-312 = {
47 name = "torchvision-0.25.0-cp312-cp312-macosx_11_0_arm64.whl";
48 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0-cp312-cp312-macosx_11_0_arm64.whl";
49 hash = "sha256-ck8hKlig0NdYZJziiGAQVrX0agHeVFcC9CvMxbJcsMw=";
50 };
51 aarch64-darwin-313 = {
52 name = "torchvision-0.25.0-cp313-cp313-macosx_12_0_arm64.whl";
53 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0-cp313-cp313-macosx_12_0_arm64.whl";
54 hash = "sha256-bERBGcavj6SLecWfFSn8FaRaK7+CPPhfhR5yA9hPcn8=";
55 };
56 aarch64-darwin-314 = {
57 name = "torchvision-0.25.0-cp314-cp314-macosx_11_0_arm64.whl";
58 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0-cp314-cp314-macosx_11_0_arm64.whl";
59 hash = "sha256-pkrlQ/4KBXqTlUr5TCOWKXI9sZbtZQkOZ3XxNnJrIvg=";
60 };
61 aarch64-linux-310 = {
62 name = "torchvision-0.25.0-cp310-cp310-linux_aarch64.whl";
63 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0%2Bcpu-cp310-cp310-manylinux_2_28_aarch64.whl";
64 hash = "sha256-c84E3qZJFP8REACDESBMNmEH1lHTsE+qDb7nfvtxM7c=";
65 };
66 aarch64-linux-311 = {
67 name = "torchvision-0.25.0-cp311-cp311-linux_aarch64.whl";
68 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0%2Bcpu-cp311-cp311-manylinux_2_28_aarch64.whl";
69 hash = "sha256-Wb6Z0cRw70cLE0Roqmr6b5aAgaUDrLTuiD1wMy+CLjU=";
70 };
71 aarch64-linux-312 = {
72 name = "torchvision-0.25.0-cp312-cp312-linux_aarch64.whl";
73 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0%2Bcpu-cp312-cp312-manylinux_2_28_aarch64.whl";
74 hash = "sha256-cnM06achz8GsKWzgv55p2UhoIb+lsedaj+tveAQdtIE=";
75 };
76 aarch64-linux-313 = {
77 name = "torchvision-0.25.0-cp313-cp313-linux_aarch64.whl";
78 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0%2Bcpu-cp313-cp313-manylinux_2_28_aarch64.whl";
79 hash = "sha256-/lTL1ZQs0LJqkPF0jw1EIcr2e+NcKBxsO4VzczoD1jA=";
80 };
81 aarch64-linux-314 = {
82 name = "torchvision-0.25.0-cp314-cp314-linux_aarch64.whl";
83 url = "https://download.pytorch.org/whl/cpu/torchvision-0.25.0%2Bcpu-cp314-cp314-manylinux_2_28_aarch64.whl";
84 hash = "sha256-DC0NqbwBGg/eHRJa85ao++lNmb7PnTE3ZPJMp2V6NEg=";
85 };
86 };
87}