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 "2.10.0" = {
11 x86_64-linux-310 = {
12 name = "torch-2.10.0-cp310-cp310-linux_x86_64.whl";
13 url = "https://download.pytorch.org/whl/cu128/torch-2.10.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl";
14 hash = "sha256-NjaFB7VuqlGsvTyWrIiTu5qGmR/80Gmf6joadKK4vcs=";
15 };
16 x86_64-linux-311 = {
17 name = "torch-2.10.0-cp311-cp311-linux_x86_64.whl";
18 url = "https://download.pytorch.org/whl/cu128/torch-2.10.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl";
19 hash = "sha256-HQH/rr9kcVwPUHo5RjFJyxnllv9wK9S8+GJgHyiB2rw=";
20 };
21 x86_64-linux-312 = {
22 name = "torch-2.10.0-cp312-cp312-linux_x86_64.whl";
23 url = "https://download.pytorch.org/whl/cu128/torch-2.10.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl";
24 hash = "sha256-Yo6JvVEQztfevuKlfGmVlyW3+8ZOq4GjndcORsfii6U=";
25 };
26 x86_64-linux-313 = {
27 name = "torch-2.10.0-cp313-cp313-linux_x86_64.whl";
28 url = "https://download.pytorch.org/whl/cu128/torch-2.10.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl";
29 hash = "sha256-e0vSPtY96XRW/MgcJv6p8C7gLOERIRHE2sDYz+V0sj4=";
30 };
31 x86_64-linux-314 = {
32 name = "torch-2.10.0-cp314-cp314-linux_x86_64.whl";
33 url = "https://download.pytorch.org/whl/cu128/torch-2.10.0%2Bcu128-cp314-cp314-manylinux_2_28_x86_64.whl";
34 hash = "sha256-N9cf7qBod2hVaGoVEgWN8/GfbwQKFR8FWqdGYBZ4dE8=";
35 };
36 aarch64-darwin-310 = {
37 name = "torch-2.10.0-cp310-none-macosx_11_0_arm64.whl";
38 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0-cp310-none-macosx_11_0_arm64.whl";
39 hash = "sha256-LRar/ObJJYTO6wDDsmZdV5hCTdntI16mm3LgRc1Trpc=";
40 };
41 aarch64-darwin-311 = {
42 name = "torch-2.10.0-cp311-none-macosx_11_0_arm64.whl";
43 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0-cp311-none-macosx_11_0_arm64.whl";
44 hash = "sha256-RYSrFnmVwEefaCHj3OrxmcgWbIEdOtu6XY7tu/pnZP0=";
45 };
46 aarch64-darwin-312 = {
47 name = "torch-2.10.0-cp312-none-macosx_11_0_arm64.whl";
48 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0-cp312-none-macosx_11_0_arm64.whl";
49 hash = "sha256-RaHFBXYpRErrHEUsGCmPp/MPL3rq3U3EH500CYApRAc=";
50 };
51 aarch64-darwin-313 = {
52 name = "torch-2.10.0-cp313-none-macosx_11_0_arm64.whl";
53 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0-cp313-none-macosx_11_0_arm64.whl";
54 hash = "sha256-hANR2lnO23vLxRmBiABQgTwZ72uJin/s9zo6/HGv8/4=";
55 };
56 aarch64-darwin-314 = {
57 name = "torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl";
58 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl";
59 hash = "sha256-yIsRKf1OFPD4gpY8ZygxXKrjXS9HN00X7e7R7cdpdJc=";
60 };
61 aarch64-linux-310 = {
62 name = "torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl";
63 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0%2Bcpu-cp310-cp310-manylinux_2_28_aarch64.whl";
64 hash = "sha256-1j7mqAmC/XP+RLtw2X0pduAQMS/224HXv7kWewbdRbk=";
65 };
66 aarch64-linux-311 = {
67 name = "torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl";
68 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0%2Bcpu-cp311-cp311-manylinux_2_28_aarch64.whl";
69 hash = "sha256-HPy5sVWMblLf/Q1O/86DsTxa5dlzOBZMNyBIwh+c/Ms=";
70 };
71 aarch64-linux-312 = {
72 name = "torch-2.10.0-cp312-cp312-manylinux_2_28_aarch64.whl";
73 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0%2Bcpu-cp312-cp312-manylinux_2_28_aarch64.whl";
74 hash = "sha256-F5RRcWSH+MsJtWRZZn+h9cTAlGwedfvq53z8QKV2jYc=";
75 };
76 aarch64-linux-313 = {
77 name = "torch-2.10.0-cp313-cp313-manylinux_2_28_aarch64.whl";
78 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0%2Bcpu-cp313-cp313-manylinux_2_28_aarch64.whl";
79 hash = "sha256-5RmUSSzbdu3OKdqI3jZyowIvnvD/2QNFQ2lI1Jkr4sc=";
80 };
81 aarch64-linux-314 = {
82 name = "torch-2.10.0-cp314-cp314-manylinux_2_28_aarch64.whl";
83 url = "https://download.pytorch.org/whl/cpu/torch-2.10.0%2Bcpu-cp314-cp314-manylinux_2_28_aarch64.whl";
84 hash = "sha256-oo/bz6L7rP/sgTAPJN0b7SsMz9vtEHqCPP8SvB2wcPY=";
85 };
86 };
87}