Clone of https://github.com/NixOS/nixpkgs.git (to stress-test knotserver)
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 "2.3.1" = { 11 x86_64-linux-38 = { 12 name = "torch-2.3.1-cp38-cp38-linux_x86_64.whl"; 13 url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp38-cp38-linux_x86_64.whl"; 14 hash = "sha256-TkEPNC/YbHO+oO0kVQnV/15od72lSySfdaM9U1yHfy8="; 15 }; 16 x86_64-linux-39 = { 17 name = "torch-2.3.1-cp39-cp39-linux_x86_64.whl"; 18 url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp39-cp39-linux_x86_64.whl"; 19 hash = "sha256-3+phA2LA4qX/KNMi1qpl1l4D4TNJlhGaWjdwx9GCGsQ="; 20 }; 21 x86_64-linux-310 = { 22 name = "torch-2.3.1-cp310-cp310-linux_x86_64.whl"; 23 url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp310-cp310-linux_x86_64.whl"; 24 hash = "sha256-8N610vkypo7VRiW6FA7dvyryK+l47hm5tjyYat1kJbI="; 25 }; 26 x86_64-linux-311 = { 27 name = "torch-2.3.1-cp311-cp311-linux_x86_64.whl"; 28 url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp311-cp311-linux_x86_64.whl"; 29 hash = "sha256-kl40rwkFBipItPgtDmZWNBrU1iaDSmqCRe9OruU3XJg="; 30 }; 31 x86_64-linux-312 = { 32 name = "torch-2.3.1-cp312-cp312-linux_x86_64.whl"; 33 url = "https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp312-cp312-linux_x86_64.whl"; 34 hash = "sha256-s8WG9Ksl6D7//M+5cHnpEyUym8IoFmVVxLuTlXdT1Oo="; 35 }; 36 aarch64-darwin-38 = { 37 name = "torch-2.3.1-cp38-none-macosx_11_0_arm64.whl"; 38 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-none-macosx_11_0_arm64.whl"; 39 hash = "sha256-vuC9M9xYqo/Ip1J4dum5oOgSrQgSIFSlv/LOWr8AWxA="; 40 }; 41 aarch64-darwin-39 = { 42 name = "torch-2.3.1-cp39-none-macosx_11_0_arm64.whl"; 43 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-none-macosx_11_0_arm64.whl"; 44 hash = "sha256-K7WveAxVvmj+EA/rBSjS7eus4dVcsuNR3nNYCbpzkes="; 45 }; 46 aarch64-darwin-310 = { 47 name = "torch-2.3.1-cp310-none-macosx_11_0_arm64.whl"; 48 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-none-macosx_11_0_arm64.whl"; 49 hash = "sha256-fAmpQ2J3hChIS8+ZX2AEsElSEGruDvRf8LS6tIT1SY0="; 50 }; 51 aarch64-darwin-311 = { 52 name = "torch-2.3.1-cp311-none-macosx_11_0_arm64.whl"; 53 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-none-macosx_11_0_arm64.whl"; 54 hash = "sha256-p91O04itHz1QK/CUU9X+WWx7Eh3n4M+soeIBd4Lpu6w="; 55 }; 56 aarch64-darwin-312 = { 57 name = "torch-2.3.1-cp312-none-macosx_11_0_arm64.whl"; 58 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp312-none-macosx_11_0_arm64.whl"; 59 hash = "sha256-PDM9wuvBiVYVFO2gboHfIr+Ptk4jhHRrLLnwT5bR1Mg="; 60 }; 61 aarch64-linux-38 = { 62 name = "torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 63 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 64 hash = "sha256-O3wUmPkE9n6x4zHy6+h0J3GiznG57pvAHelnJX6IHH0="; 65 }; 66 aarch64-linux-39 = { 67 name = "torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 68 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 69 hash = "sha256-22v/S6YnO1muRD3gS1rcNtakC7KJiGYTO/8tUvJ26v4="; 70 }; 71 aarch64-linux-310 = { 72 name = "torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 73 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 74 hash = "sha256-ZUT98pAYZowKbUobzJVZgsGtpwgGKBsBDLqTvc+9zyI="; 75 }; 76 aarch64-linux-311 = { 77 name = "torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 78 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 79 hash = "sha256-Kq8ON3NMvF/mv8yBraNuy7iZ1N2+E0mL2EqsqKkchig="; 80 }; 81 aarch64-linux-312 = { 82 name = "torch-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 83 url = "https://download.pytorch.org/whl/cpu/torch-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"; 84 hash = "sha256-d9LeGklaHAf1ksM4oNWS5VzAudL4ADCeRqDqLA46KRk="; 85 }; 86 }; 87}