tjh.dev
Clone of https://github.com/NixOS/nixpkgs.git (to stress-test knotserver)
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 "0.14.1" = {
10 x86_64-linux-37 = {
11 name = "torchvision-0.14.1-cp37-cp37m-linux_x86_64.whl";
12 url = "https://download.pytorch.org/whl/cu116/torchvision-0.14.1%2Bcu116-cp37-cp37m-linux_x86_64.whl";
13 hash = "sha256-SYVxnGbJYS/0uy06U8P6r92TQVKyqHQU0nvceHSkNg8=";
14 };
15 x86_64-linux-38 = {
16 name = "torchvision-0.14.1-cp38-cp38-linux_x86_64.whl";
17 url = "https://download.pytorch.org/whl/cu116/torchvision-0.14.1%2Bcu116-cp38-cp38-linux_x86_64.whl";
18 hash = "sha256-R1k1helxw+DJgPq/v7iF61/wVHFrqlVWYMWwMEyeo50=";
19 };
20 x86_64-linux-39 = {
21 name = "torchvision-0.14.1-cp39-cp39-linux_x86_64.whl";
22 url = "https://download.pytorch.org/whl/cu116/torchvision-0.14.1%2Bcu116-cp39-cp39-linux_x86_64.whl";
23 hash = "sha256-qfw4BA4TPRd58TG0SXyu+DDp5pn6+JzTI81YeU/7MFs=";
24 };
25 x86_64-linux-310 = {
26 name = "torchvision-0.14.1-cp310-cp310-linux_x86_64.whl";
27 url = "https://download.pytorch.org/whl/cu116/torchvision-0.14.1%2Bcu116-cp310-cp310-linux_x86_64.whl";
28 hash = "sha256-/LWNQb+V3YuF04j6GWnR3K1V7sBV4xeYHWU6BcTKbYs=";
29 };
30 x86_64-darwin-37 = {
31 name = "torchvision-0.14.1-cp37-cp37m-macosx_10_9_x86_64.whl";
32 url = "https://download.pytorch.org/whl/torchvision-0.14.1-cp37-cp37m-macosx_10_9_x86_64.whl";
33 hash = "sha256-+3p5P9M84avsJLQneEGaP7HjFZ19/LJ0o8qPuMvECNw=";
34 };
35 x86_64-darwin-38 = {
36 name = "torchvision-0.14.1-cp38-cp38-macosx_10_9_x86_64.whl";
37 url = "https://download.pytorch.org/whl/torchvision-0.14.1-cp38-cp38-macosx_10_9_x86_64.whl";
38 hash = "sha256-aO0DNZ3NPanNIbirlNohFY34pqDFutC/SkLw5EjSjLM=";
39 };
40 x86_64-darwin-39 = {
41 name = "torchvision-0.14.1-cp39-cp39-macosx_10_9_x86_64.whl";
42 url = "https://download.pytorch.org/whl/torchvision-0.14.1-cp39-cp39-macosx_10_9_x86_64.whl";
43 hash = "sha256-xedE9W5fW0Ut61/A8/K6TS8AYS0U2NoNvv6o8JrHaQs=";
44 };
45 x86_64-darwin-310 = {
46 name = "torchvision-0.14.1-cp310-cp310-macosx_10_9_x86_64.whl";
47 url = "https://download.pytorch.org/whl/torchvision-0.14.1-cp310-cp310-macosx_10_9_x86_64.whl";
48 hash = "sha256-7rBd2d069UKP7lJUAHWdr42o5MrsRd3WkIz7NlcfZDM=";
49 };
50 aarch64-darwin-38 = {
51 name = "torchvision-0.14.1-cp38-cp38-macosx_11_0_arm64.whl";
52 url = "https://download.pytorch.org/whl/cpu/torchvision-0.14.1-cp38-cp38-macosx_11_0_arm64.whl";
53 hash = "sha256-MPzw6f5X1KxM5kJmWaV9zhmWN8y2xwvhEoZw8XdpJiQ=";
54 };
55 aarch64-darwin-39 = {
56 name = "torchvision-0.14.1-cp39-cp39-macosx_11_0_arm64.whl";
57 url = "https://download.pytorch.org/whl/cpu/torchvision-0.14.1-cp39-cp39-macosx_11_0_arm64.whl";
58 hash = "sha256-dYsg0HnoELR0C9YNHrFuSdqDDjNg+b43nrF37iIfpdQ=";
59 };
60 aarch64-darwin-310 = {
61 name = "torchvision-0.14.1-cp310-cp310-macosx_11_0_arm64.whl";
62 url = "https://download.pytorch.org/whl/cpu/torchvision-0.14.1-cp310-cp310-macosx_11_0_arm64.whl";
63 hash = "sha256-jQdm6pKv+nrySOMn3YX3yc/fUaV1MLQyEtThhYVI6dc=";
64 };
65 };
66}