nixpkgs mirror (for testing)
github.com/NixOS/nixpkgs
nix
1# Warning: use the same CUDA version as pytorch-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 "1.11.0" = {
10 x86_64-linux-37 = {
11 name = "torch-1.11.0-cp37-cp37m-linux_x86_64.whl";
12 url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp37-cp37m-linux_x86_64.whl";
13 hash = "sha256-9WMzRw2uo8lweLN2B+ADXMz3L8XDb9hFRuGkuNmUTys=";
14 };
15 x86_64-linux-38 = {
16 name = "torch-1.11.0-cp38-cp38-linux_x86_64.whl";
17 url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp38-cp38-linux_x86_64.whl";
18 hash = "sha256-tqeZvbbuPZFOXmK920J21KECSMGvTy0hdzjl+e4nSFs=";
19 };
20 x86_64-linux-39 = {
21 name = "torch-1.11.0-cp39-cp39-linux_x86_64.whl";
22 url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp39-cp39-linux_x86_64.whl";
23 hash = "sha256-6RJrCl2VcEvuQKnQ7xy9gtjceGPkY4o3a+9wLf1lk3A=";
24 };
25 x86_64-linux-310 = {
26 name = "torch-1.11.0-cp310-cp310-linux_x86_64.whl";
27 url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp310-cp310-linux_x86_64.whl";
28 hash = "sha256-powzZXpUYTHrm8ROKpjS+nBKr66GFGCwUbgoE4Usy0Q=";
29 };
30 x86_64-darwin-37 = {
31 name = "torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl";
32 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp37-none-macosx_10_9_x86_64.whl";
33 hash = "sha256-aGCx0b8LsLZ6a9R/haDkyCW1GO6hO11hAZmdu8vVvAw=";
34 };
35 x86_64-darwin-38 = {
36 name = "torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl";
37 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp38-none-macosx_10_9_x86_64.whl";
38 hash = "sha256-DMyFzQYiej7fgJ4seV/Vdiw9Too4tcn3RMbnz4QTYbs=";
39 };
40 x86_64-darwin-39 = {
41 name = "torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl";
42 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl";
43 hash = "sha256-UP2b+FxXjIccKPHLCs6d/GAkQBx/OZsXT7DzcImfRFQ=";
44 };
45 x86_64-darwin-310 = {
46 name = "torch-1.11.0-cp310-none-macosx_10_9_x86_64.whl";
47 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_10_9_x86_64.whl";
48 hash = "sha256-UP2b+FxXjIccKPHLCs6d/GAkQBx/OZsXT7DzcImfRFQ=";
49 };
50 aarch64-darwin-38 = {
51 name = "torch-1.11.0-cp38-none-macosx_11_0_arm64.whl";
52 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp38-none-macosx_11_0_arm64.whl";
53 hash = "sha256-wVVOSddPGyw+cgLXcFa6LddGVDdYW6xkBitYD3FKROk=";
54 };
55 aarch64-darwin-39 = {
56 name = "torch-1.11.0-cp39-none-macosx_11_0_arm64.whl";
57 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_11_0_arm64.whl";
58 hash = "sha256-DkivZq11Xw+cXyZkAopBT1fEnWrcN+d+Bv4ABNpO22E=";
59 };
60 aarch64-darwin-310 = {
61 name = "torch-1.11.0-cp310-none-macosx_11_0_arm64.whl";
62 url = "https://download.pytorch.org/whl/cpu/torch-1.11.0-cp39-none-macosx_11_0_arm64.whl";
63 hash = "sha256-DkivZq11Xw+cXyZkAopBT1fEnWrcN+d+Bv4ABNpO22E=";
64 };
65 };
66}