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 "2.0.1" = {
10 x86_64-linux-38 = {
11 name = "torch-2.0.1-cp38-cp38-linux_x86_64.whl";
12 url = "https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp38-cp38-linux_x86_64.whl";
13 hash = "sha256-LOOKbk6nxLf1uqUeZSQ6X2h/bhmreRW6WypDEQX1C74=";
14 };
15 x86_64-linux-39 = {
16 name = "torch-2.0.1-cp39-cp39-linux_x86_64.whl";
17 url = "https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp39-cp39-linux_x86_64.whl";
18 hash = "sha256-61XynbV0TtqKlvVZTmN9rtDVIngnMAXedZlw5nz6alo=";
19 };
20 x86_64-linux-310 = {
21 name = "torch-2.0.1-cp310-cp310-linux_x86_64.whl";
22 url = "https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl";
23 hash = "sha256-p6SdRZv0hi9k97waaL7M+IgcL6nz4FaWCOFrpvhev3s=";
24 };
25 x86_64-linux-311 = {
26 name = "torch-2.0.1-cp311-cp311-linux_x86_64.whl";
27 url = "https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp311-cp311-linux_x86_64.whl";
28 hash = "sha256-FDtsZYwX1DN24t+6osEG01Y51hXl6N7EQpzx5RDdjWE=";
29 };
30 x86_64-darwin-38 = {
31 name = "torch-2.0.1-cp38-none-macosx_10_9_x86_64.whl";
32 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp38-none-macosx_10_9_x86_64.whl";
33 hash = "sha256-Gttg02nyZQysjpqVsdV1jiXVJqNICPdEjQvVmeSukHI=";
34 };
35 x86_64-darwin-39 = {
36 name = "torch-2.0.1-cp39-none-macosx_10_9_x86_64.whl";
37 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp39-none-macosx_10_9_x86_64.whl";
38 hash = "sha256-xi35k1K9buWlqNGDJFIRBDXReLUWTeRQgxo6jMFNxoA=";
39 };
40 x86_64-darwin-310 = {
41 name = "torch-2.0.1-cp310-none-macosx_10_9_x86_64.whl";
42 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp310-none-macosx_10_9_x86_64.whl";
43 hash = "sha256-Vn+E1lftxVgtcWkAVD5uYjU9videYc3DbtpJKeRt+ec=";
44 };
45 x86_64-darwin-311 = {
46 name = "torch-2.0.1-cp311-none-macosx_10_9_x86_64.whl";
47 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp311-none-macosx_10_9_x86_64.whl";
48 hash = "sha256-72VEJ9kWABKYZGRONd7qdh+x/hMXEBgLlSpvLiIHB14=";
49 };
50 aarch64-darwin-38 = {
51 name = "torch-2.0.1-cp38-none-macosx_11_0_arm64.whl";
52 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp38-none-macosx_11_0_arm64.whl";
53 hash = "sha256-G8/8FrieKWgmszuY21Fm+ZDjtyZUorkGc+gXsWxQ4ys=";
54 };
55 aarch64-darwin-39 = {
56 name = "torch-2.0.1-cp39-none-macosx_11_0_arm64.whl";
57 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp39-none-macosx_11_0_arm64.whl";
58 hash = "sha256-ZxolZeP2O4/o5Crj42rSSf5eVnQ16ie5TtqmcqfQxBY=";
59 };
60 aarch64-darwin-310 = {
61 name = "torch-2.0.1-cp310-none-macosx_11_0_arm64.whl";
62 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp310-none-macosx_11_0_arm64.whl";
63 hash = "sha256-eHtaeKp5F0Zem5Y5m4g5IMiKCPTrY7Wl0tGhbifS+Js=";
64 };
65 aarch64-darwin-311 = {
66 name = "torch-2.0.1-cp311-none-macosx_11_0_arm64.whl";
67 url = "https://download.pytorch.org/whl/cpu/torch-2.0.1-cp311-none-macosx_11_0_arm64.whl";
68 hash = "sha256-JapDyoDc3zLxPaBMUD7Hr9+Od+OgGD3YXNPlOyhC5Sc=";
69 };
70 aarch64-linux-38 = {
71 name = "torch-2.0.1-cp38-cp38-manylinux2014_aarch64.whl";
72 url = "https://download.pytorch.org/whl/torch-2.0.1-cp38-cp38-manylinux2014_aarch64.whl";
73 hash = "sha256-CIIkN1X/KIlejm3GvCbrz1qgkR7YGyoS8kH8SwkHWxM=";
74 };
75 aarch64-linux-39 = {
76 name = "torch-2.0.1-cp39-cp39-manylinux2014_aarch64.whl";
77 url = "https://download.pytorch.org/whl/torch-2.0.1-cp39-cp39-manylinux2014_aarch64.whl";
78 hash = "sha256-Qj4K4le3VrtFpLSQcgRnctGtDFkiZcUIAHDgdn2k5JA=";
79 };
80 aarch64-linux-310 = {
81 name = "torch-2.0.1-cp310-cp310-manylinux2014_aarch64.whl";
82 url = "https://download.pytorch.org/whl/torch-2.0.1-cp310-cp310-manylinux2014_aarch64.whl";
83 hash = "sha256-NZv6rZTRzaAqt3XcHMOG1YVxIym7R7h0FgfvbvSVB0c=";
84 };
85 aarch64-linux-311 = {
86 name = "torch-2.0.1-cp311-cp311-manylinux2014_aarch64.whl";
87 url = "https://download.pytorch.org/whl/torch-2.0.1-cp311-cp311-manylinux2014_aarch64.whl";
88 hash = "sha256-tgGbHeSXjpbaoh1qPrtB6IoLR0iY/iUf2WGJWHQIhz4=";
89 };
90 };
91}