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 "2.5.1" = {
11 x86_64-linux-39 = {
12 name = "torch-2.5.1-cp39-cp39-linux_x86_64.whl";
13 url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp39-cp39-linux_x86_64.whl";
14 hash = "sha256-1oG4vj/cLNQREjENs8OQT3xqCaeuKNBCrgrzrwHI/No=";
15 };
16 x86_64-linux-310 = {
17 name = "torch-2.5.1-cp310-cp310-linux_x86_64.whl";
18 url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp310-cp310-linux_x86_64.whl";
19 hash = "sha256-nd4w85nKIhN0Vcyk1HFA37f0F24tFqlyn8BE7r+tsTo=";
20 };
21 x86_64-linux-311 = {
22 name = "torch-2.5.1-cp311-cp311-linux_x86_64.whl";
23 url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp311-cp311-linux_x86_64.whl";
24 hash = "sha256-aylm7emv/i/WngdlaRynI+yHDgw0x3YfTVuOMYOD/a8=";
25 };
26 x86_64-linux-312 = {
27 name = "torch-2.5.1-cp312-cp312-linux_x86_64.whl";
28 url = "https://download.pytorch.org/whl/cu124/torch-2.5.1%2Bcu124-cp312-cp312-linux_x86_64.whl";
29 hash = "sha256-v2SEv+W8T5KkoaG/VTBBUF4ZqRH3FwZTMOsGGv4OFNc=";
30 };
31 aarch64-darwin-39 = {
32 name = "torch-2.5.1-cp39-none-macosx_11_0_arm64.whl";
33 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp39-none-macosx_11_0_arm64.whl";
34 hash = "sha256-gEZ2i39tNbhdEBtLOMuoqi881RlSvEwGpJWA8s5oIpE=";
35 };
36 aarch64-darwin-310 = {
37 name = "torch-2.5.1-cp310-none-macosx_11_0_arm64.whl";
38 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp310-none-macosx_11_0_arm64.whl";
39 hash = "sha256-I9Biv3B3aj0E2+dNuVDbKlJF4bpPJyCKh/DXQ7DQboY=";
40 };
41 aarch64-darwin-311 = {
42 name = "torch-2.5.1-cp311-none-macosx_11_0_arm64.whl";
43 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp311-none-macosx_11_0_arm64.whl";
44 hash = "sha256-MfjDlmCWL5rk7uyZXjBJtUkutzYN1PBzd2WO9Nco+kw=";
45 };
46 aarch64-darwin-312 = {
47 name = "torch-2.5.1-cp312-none-macosx_11_0_arm64.whl";
48 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp312-none-macosx_11_0_arm64.whl";
49 hash = "sha256-jHEt9hEBlk6xGRCoRlFAEfC29ZIMVdv1Z7/4o0Fj1bE=";
50 };
51 aarch64-linux-39 = {
52 name = "torch-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
53 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
54 hash = "sha256-x09z2hefp+qiFnqwtJPyZ65IGmwAckniZ0y9C69KXME=";
55 };
56 aarch64-linux-310 = {
57 name = "torch-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
58 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
59 hash = "sha256-JpsQw0Qwqo6WQ9vgNdxSXEqbHWcc09vI7Lyu0oCuMi0=";
60 };
61 aarch64-linux-311 = {
62 name = "torch-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
63 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
64 hash = "sha256-1bMgPxkbxAeDyZSI0ud23Pk6xDGllJHWJ6HKWzriCyI=";
65 };
66 aarch64-linux-312 = {
67 name = "torch-2.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
68 url = "https://download.pytorch.org/whl/cpu/torch-2.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl";
69 hash = "sha256-NtG+mSgbb2Atljm9CvPuAAbnqrFvZxjYb3CdOVtvJiw=";
70 };
71 };
72}