at 24.05-pre 4.5 kB view raw
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}