commit
f303d4de3b
@ -0,0 +1,34 @@ |
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# CUDA {#cuda} |
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|
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CUDA-only packages are stored in the `cudaPackages` packages set. This set |
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includes the `cudatoolkit`, portions of the toolkit in separate derivations, |
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`cudnn`, `cutensor` and `nccl`. |
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|
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A package set is available for each CUDA version, so for example |
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`cudaPackages_11_6`. Within each set is a matching version of the above listed |
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packages. Additionally, other versions of the packages that are packaged and |
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compatible are available as well. For example, there can be a |
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`cudaPackages.cudnn_8_3_2` package. |
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|
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To use one or more CUDA packages in an expression, give the expression a `cudaPackages` parameter, and in case CUDA is optional |
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```nix |
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cudaSupport ? false |
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cudaPackages ? {} |
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``` |
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|
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When using `callPackage`, you can choose to pass in a different variant, e.g. |
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when a different version of the toolkit suffices |
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```nix |
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mypkg = callPackage { cudaPackages = cudaPackages_11_5; } |
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``` |
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|
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If another version of say `cudnn` or `cutensor` is needed, you can override the |
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package set to make it the default. This guarantees you get a consistent package |
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set. |
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```nix |
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mypkg = let |
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cudaPackages = cudaPackages_11_5.overrideScope' (final: prev { |
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cudnn = prev.cudnn_8_3_2; |
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}}); |
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in callPackage { inherit cudaPackages; }; |
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``` |
@ -1,13 +0,0 @@ |
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diff --git a/retroarch.cfg b/retroarch.cfg
|
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index cdcb199c9f..ab72f3920f 100644
|
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--- a/retroarch.cfg
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+++ b/retroarch.cfg
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@@ -681,7 +681,7 @@
|
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# menu_show_online_updater = true
|
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|
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# If disabled, will hide the ability to update cores (and core info files) inside the menu.
|
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-# menu_show_core_updater = true
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+menu_show_core_updater = false
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|
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# If disabled, the libretro core will keep running in the background when we
|
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# are in the menu.
|
@ -1,7 +1,7 @@ |
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From 546b343294209abbb193883ab76b679b7f99c6d3 Mon Sep 17 00:00:00 2001
|
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From: Thiago Kenji Okada <thiagokokada@gmail.com>
|
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Date: Sat, 20 Nov 2021 16:03:50 -0300
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Subject: [PATCH 1/2] Disable "menu_show_core_updater"
|
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Subject: [PATCH] Disable "menu_show_core_updater"
|
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|
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---
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retroarch.cfg | 2 +-
|
@ -0,0 +1,14 @@ |
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# Run autoOpenGLRunpath on all files |
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echo "Sourcing auto-add-opengl-runpath-hook" |
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|
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autoAddOpenGLRunpathPhase () { |
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# TODO: support multiple outputs |
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for file in $(find ${out,lib,bin} -type f); do |
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addOpenGLRunpath $file |
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done |
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} |
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|
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if [ -z "${dontUseAutoAddOpenGLRunpath-}" ]; then |
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echo "Using autoAddOpenGLRunpathPhase" |
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postFixupHooks+=(autoAddOpenGLRunpathPhase) |
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fi |
@ -1,94 +0,0 @@ |
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{ callPackage |
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, fetchurl |
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, gcc7 |
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, gcc9 |
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, gcc10 |
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, lib |
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}: |
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|
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let |
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common = callPackage ./common.nix; |
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in |
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rec { |
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cudatoolkit_10_0 = common { |
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version = "10.0.130"; |
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url = "https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux"; |
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sha256 = "16p3bv1lwmyqpxil8r951h385sy9asc578afrc7lssa68c71ydcj"; |
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|
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gcc = gcc7; |
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}; |
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|
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cudatoolkit_10_1 = common { |
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version = "10.1.243"; |
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url = "https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run"; |
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sha256 = "0caxhlv2bdq863dfp6wj7nad66ml81vasq2ayf11psvq2b12vhp7"; |
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|
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gcc = gcc7; |
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}; |
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|
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cudatoolkit_10_2 = common { |
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version = "10.2.89"; |
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url = "http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run"; |
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sha256 = "04fasl9sjkb1jvchvqgaqxprnprcz7a8r52249zp2ijarzyhf3an"; |
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|
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gcc = gcc7; |
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}; |
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|
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cudatoolkit_10 = cudatoolkit_10_2; |
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|
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cudatoolkit_11_0 = common { |
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version = "11.0.3"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run"; |
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sha256 = "1h4c69nfrgm09jzv8xjnjcvpq8n4gnlii17v3wzqry5d13jc8ydh"; |
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|
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gcc = gcc9; |
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}; |
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|
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cudatoolkit_11_1 = common { |
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version = "11.1.1"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run"; |
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sha256 = "13yxv2fgvdnqqbwh1zb80x4xhyfkbajfkwyfpdg9493010kngbiy"; |
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gcc = gcc9; |
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}; |
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|
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cudatoolkit_11_2 = common { |
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version = "11.2.1"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/cuda_11.2.1_460.32.03_linux.run"; |
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sha256 = "sha256-HamMuJfMX1inRFpKZspPaSaGdwbLOvWKZpzc2Nw9F8g="; |
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gcc = gcc9; |
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}; |
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|
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cudatoolkit_11_3 = common { |
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version = "11.3.1"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run"; |
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sha256 = "0d19pwcqin76scbw1s5kgj8n0z1p4v1hyfldqmamilyfxycfm4xd"; |
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gcc = gcc9; |
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}; |
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|
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cudatoolkit_11_4 = common { |
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version = "11.4.2"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_470.57.02_linux.run"; |
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sha256 = "sha256-u9h8oOkT+DdFSnljZ0c1E83e9VUILk2G7Zo4ZZzIHwo="; |
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gcc = gcc10; # can bump to 11 along with stdenv.cc |
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}; |
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|
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cudatoolkit_11_5 = common { |
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version = "11.5.0"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run"; |
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sha256 = "sha256-rgoWk9lJfPPYHmlIlD43lGNpANtxyY1Y7v2sr38aHkw="; |
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gcc = gcc10; # can bump to 11 along with stdenv.cc |
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}; |
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|
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cudatoolkit_11_6 = common { |
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version = "11.6.1"; |
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url = "https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run"; |
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sha256 = "sha256-qyGa/OALdCABEyaYZvv/derQN7z8I1UagzjCaEyYTX4="; |
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gcc = gcc10; # can bump to 11 along with stdenv.cc |
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}; |
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|
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# Make sure to only ever update this to a version that is compatible with the |
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# latest cudnn, nccl, cutensor, etc! It sometimes happens that CUDA versions |
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# are released prior to compatibility with the rest of the ecosystem. And |
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# don't forget to request a review from @NixOS/cuda-maintainers! |
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cudatoolkit_11 = cudatoolkit_11_5; # update me to 11_6 when cudnn>=8.3.3 |
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} |
@ -0,0 +1,15 @@ |
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final: prev: let |
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### Cuda Toolkit |
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|
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# Function to build the class cudatoolkit package |
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buildCudaToolkitPackage = final.callPackage ./common.nix; |
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|
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# Version info for the classic cudatoolkit packages that contain everything that is in redist. |
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cudatoolkitVersions = final.lib.importTOML ./versions.toml; |
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|
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### Add classic cudatoolkit package |
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cudatoolkit = buildCudaToolkitPackage ((attrs: attrs // { gcc = prev.pkgs.${attrs.gcc}; }) cudatoolkitVersions.${final.cudaVersion}); |
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|
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in { |
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inherit cudatoolkit; |
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} |
@ -0,0 +1,51 @@ |
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{ lib |
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, stdenv |
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, fetchurl |
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, autoPatchelfHook |
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, autoAddOpenGLRunpathHook |
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}: |
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|
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pname: |
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attrs: |
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|
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let |
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arch = "linux-x86_64"; |
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in stdenv.mkDerivation { |
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inherit pname; |
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inherit (attrs) version; |
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|
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src = assert (lib.hasAttr arch attrs); fetchurl { |
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url = "https://developer.download.nvidia.com/compute/cuda/redist/${attrs.${arch}.relative_path}"; |
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inherit (attrs.${arch}) sha256; |
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}; |
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|
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nativeBuildInputs = [ |
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autoPatchelfHook |
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# This hook will make sure libcuda can be found |
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# in typically /lib/opengl-driver by adding that |
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# directory to the rpath of all ELF binaries. |
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# Check e.g. with `patchelf --print-rpath path/to/my/binary |
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autoAddOpenGLRunpathHook |
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]; |
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|
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buildInputs = [ |
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stdenv.cc.cc.lib |
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]; |
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|
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dontBuild = true; |
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|
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# TODO: choose whether to install static/dynamic libs |
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installPhase = '' |
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runHook preInstall |
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rm LICENSE |
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mkdir -p $out |
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mv * $out |
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runHook postInstall |
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''; |
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|
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meta = { |
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description = attrs.name; |
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license = lib.licenses.unfree; |
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platforms = lib.optionals (lib.hasAttr arch attrs) [ "x86_64-linux" ]; |
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}; |
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} |
@ -0,0 +1,32 @@ |
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final: prev: let |
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|
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inherit (final) callPackage; |
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inherit (prev) cudaVersion lib pkgs; |
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|
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### Cuda Toolkit Redist |
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|
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# Manifest files for redist cudatoolkit. These can be found at |
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# https://developer.download.nvidia.com/compute/cuda/redist/ |
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cudaToolkitRedistManifests = { |
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"11.4" = ./manifests/redistrib_11.4.4.json; |
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"11.5" = ./manifests/redistrib_11.5.2.json; |
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"11.6" = ./manifests/redistrib_11.6.2.json; |
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}; |
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|
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# Function to build a single cudatoolkit redist package |
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buildCudaToolkitRedistPackage = callPackage ./build-cuda-redist-package.nix { }; |
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|
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# Function that builds all cudatoolkit redist packages given a cuda version and manifest file |
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buildCudaToolkitRedistPackages = { version, manifest }: let |
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attrs = lib.filterAttrs (key: value: key != "release_date") (lib.importJSON manifest); |
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in lib.mapAttrs buildCudaToolkitRedistPackage attrs; |
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|
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redistExists = cudaToolkitRedistManifests ? "${cudaVersion}"; |
||||
|
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# All cudatoolkit redist packages for the current cuda version |
||||
cudaToolkitRedistPackages = if |
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lib.hasAttr cudaVersion cudaToolkitRedistManifests |
||||
then buildCudaToolkitRedistPackages { version = cudaVersion; manifest = cudaToolkitRedistManifests.${cudaVersion}; } |
||||
else {}; |
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|
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in cudaToolkitRedistPackages |
@ -0,0 +1,862 @@ |
||||
{ |
||||
"release_date": "2022-02-01", |
||||
"cuda_cccl": { |
||||
"name": "CXX Core Compute Libraries", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.4.122", |
||||
"linux-x86_64": { |
||||
"relative_path": "cuda_cccl/linux-x86_64/cuda_cccl-linux-x86_64-11.4.122-archive.tar.xz", |
||||
"sha256": "150b163bde4975154d6238ae1272c74df81b303dccca1f7637bd91027b65afc5", |
||||
"md5": "e0e41040716a4d6113410d7cb25c7906", |
||||
"size": "951832" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "cuda_cccl/linux-ppc64le/cuda_cccl-linux-ppc64le-11.4.122-archive.tar.xz", |
||||
"sha256": "0d1d729ac3f52bdd04f197a6cef295b3463c4975d70dbd97f4e1b08a4857f488", |
||||
"md5": "f615eccb3b8d694f4c7aa864c93959d7", |
||||
"size": "951780" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "cuda_cccl/linux-sbsa/cuda_cccl-linux-sbsa-11.4.122-archive.tar.xz", |
||||
"sha256": "98f495b99c68fae54fe728e72aa3b8e2e5b1d77c9fd4946370cec3b063a7fcf3", |
||||
"md5": "28692dd487b5936dbfac70ac56b65561", |
||||
"size": "951340" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-11.4.122-archive.zip", |
||||
"sha256": "d721c4bcc5bf8054eb944b7c3203ce5f593523f798559f3f4c1effdd8ed36f48", |
||||
"md5": "fa6bbf1291ebdd8f63f4f5176be4ae9c", |
||||
"size": "2422426" |
||||
} |
||||
}, |
||||
"cuda_cudart": { |
||||
"name": "CUDA Runtime (cudart)", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.4.148", |
||||
"linux-x86_64": { |
||||
"relative_path": "cuda_cudart/linux-x86_64/cuda_cudart-linux-x86_64-11.4.148-archive.tar.xz", |
||||
"sha256": "36bd6f1ea8711f69405ebd0b26d1f791a6ef6eb01cc3f01ba4231eb8ec09c208", |
||||
"md5": "b98036aa5e633eb19b7ef2e32e8811a7", |
||||
"size": "828732" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "cuda_cudart/linux-ppc64le/cuda_cudart-linux-ppc64le-11.4.148-archive.tar.xz", |
||||
"sha256": "fb70c6477dce2cfc3ee13d361b76453ad92671be36f98fab50e2510f657eb00e", |
||||
"md5": "594855b91ad5e9aa674d3a93d741431e", |
||||
"size": "777952" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "cuda_cudart/linux-sbsa/cuda_cudart-linux-sbsa-11.4.148-archive.tar.xz", |
||||
"sha256": "d013448f76c22614e458de94b5289807d2d0934b3a5deb073b621401a222c16f", |
||||
"md5": "2bcac7ef368ebeb804e33c4c7920ff78", |
||||
"size": "783344" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-11.4.148-archive.zip", |
||||
"sha256": "e889e38929a95845409ed7dcdb0e6189343af5d17442a3b8c9f2ba297f0d262e", |
||||
"md5": "c2fcccb16eec0cf4ed5807fcba2bd745", |
||||
"size": "2898471" |
||||
} |
||||
}, |
||||
"cuda_cuobjdump": { |
||||
"name": "cuobjdump", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.4.120", |
||||
"linux-x86_64": { |
||||
"relative_path": "cuda_cuobjdump/linux-x86_64/cuda_cuobjdump-linux-x86_64-11.4.120-archive.tar.xz", |
||||
"sha256": "dd9d51ca6d1772545ba77640f74bd1162ea4ffe223e17c8faa6e0a11ec9b5e2a", |
||||
"md5": "0a28c3ee87dbe294afc73b90ff0c8101", |
||||
"size": "110008" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "cuda_cuobjdump/linux-ppc64le/cuda_cuobjdump-linux-ppc64le-11.4.120-archive.tar.xz", |
||||
"sha256": "3f5013ecd3ad3ef1f90f981189826ae9e5aadb7549a99e834c0f6d77c897a7ff", |
||||
"md5": "56cabd1ef862f62c10a6fc9e47186797", |
||||
"size": "115060" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "cuda_cuobjdump/linux-sbsa/cuda_cuobjdump-linux-sbsa-11.4.120-archive.tar.xz", |
||||
"sha256": "7f5c5e38780d9d44084f05ae091be1ad8672f370a6da17cc3f0a9a55e998163a", |
||||
"md5": "5df0f75608960c20f5c2b3b11cb9a2d3", |
||||
"size": "99752" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "cuda_cuobjdump/windows-x86_64/cuda_cuobjdump-windows-x86_64-11.4.120-archive.zip", |
||||
"sha256": "e371440535fae634c625a5dd02d18cd4accd11b9166703f9d5a95f7b721f09b0", |
||||
"md5": "2d8a519c9ebe674a624b3b4cbfe91be3", |
||||
"size": "2535529" |
||||
} |
||||
}, |
||||
"cuda_cupti": { |
||||
"name": "CUPTI", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.4.120", |
||||
"linux-x86_64": { |
||||
"relative_path": "cuda_cupti/linux-x86_64/cuda_cupti-linux-x86_64-11.4.120-archive.tar.xz", |
||||
"sha256": "e589bd0955dc59cf7871dad3446e583316623dd899b67c34b808fbe14cde0209", |
||||
"md5": "e80232b5629d4c26376411f28ec41b05", |
||||
"size": "15499004" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "cuda_cupti/linux-ppc64le/cuda_cupti-linux-ppc64le-11.4.120-archive.tar.xz", |
||||
"sha256": "24687d171f15101109dc428bd2236889bda617377b2a29bdfc0173095bcf28a8", |
||||
"md5": "8a0aef6d201a0bb79af677d3aba9c790", |
||||
"size": "8092764" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "cuda_cupti/linux-sbsa/cuda_cupti-linux-sbsa-11.4.120-archive.tar.xz", |
||||
"sha256": "d66367c166d27ddd6d7ed07f7a492dfed77b6eae505a7037a29537ce3e15eeb3", |
||||
"md5": "81b11a7aac656df569ba5ab909d114c7", |
||||
"size": "7301688" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "cuda_cupti/windows-x86_64/cuda_cupti-windows-x86_64-11.4.120-archive.zip", |
||||
"sha256": "74545a99d9a35c53790003006b29b9af5ca52b48f8703fdbc003665b42f5ec39", |
||||
"md5": "745b2b131e2f421e65c7792547792b12", |
||||
"size": "10080557" |
||||
} |
||||
}, |
||||
"cuda_cuxxfilt": { |
||||
"name": "CUDA cuxxfilt (demangler)", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.4.120", |
||||
"linux-x86_64": { |
||||
"relative_path": "cuda_cuxxfilt/linux-x86_64/cuda_cuxxfilt-linux-x86_64-11.4.120-archive.tar.xz", |
||||
"sha256": "8dc88e398f976d20540e7c7b4f004f158b12cd9edf59a9ab988abbacc3e1452c", |
||||
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"relative_path": "libcufile/linux-x86_64/libcufile-linux-x86_64-1.2.1.4-archive.tar.xz", |
||||
"sha256": "ebc164ebffee7dbe87ae8cc3e37fcf6499750aa9f7003ea0cc4f3bc7c7f3a56d", |
||||
"md5": "ae8cd1900e9947cdb8acdd9726befe29", |
||||
"size": "46744444" |
||||
} |
||||
}, |
||||
"libcurand": { |
||||
"name": "CUDA cuRAND", |
||||
"license": "CUDA Toolkit", |
||||
"version": "10.2.9.124", |
||||
"linux-x86_64": { |
||||
"relative_path": "libcurand/linux-x86_64/libcurand-linux-x86_64-10.2.9.124-archive.tar.xz", |
||||
"sha256": "87b1d70ec749db31cabb79ae5034b05883666e1848aa3feca643ea4a68dea47e", |
||||
"md5": "e7657f67965d162b519c2471ca0f7c08", |
||||
"size": "82095344" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "libcurand/linux-ppc64le/libcurand-linux-ppc64le-10.2.9.124-archive.tar.xz", |
||||
"sha256": "162a42c9e98fd3809541a04dc67933b43f2a85d8d9a749ca247d2be049b7c4d8", |
||||
"md5": "ba67c380f521a245192fb589cc208edd", |
||||
"size": "82140836" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "libcurand/linux-sbsa/libcurand-linux-sbsa-10.2.9.124-archive.tar.xz", |
||||
"sha256": "c084db363510f6a2f628401494372edc1a841b0fabf95d80e86b852b27a299f5", |
||||
"md5": "5021f94b32de1099a52bbfd02d08be17", |
||||
"size": "82081332" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "libcurand/windows-x86_64/libcurand-windows-x86_64-10.2.9.124-archive.zip", |
||||
"sha256": "6bbb3c33f76813a96b1cec51d723d0d53704f3b7fedaf6c29f4c84f1bcb73a4e", |
||||
"md5": "4914ba32fc23a9076f51f8755909c258", |
||||
"size": "53645700" |
||||
} |
||||
}, |
||||
"libcusolver": { |
||||
"name": "CUDA cuSOLVER", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.3.4.124", |
||||
"linux-x86_64": { |
||||
"relative_path": "libcusolver/linux-x86_64/libcusolver-linux-x86_64-11.3.4.124-archive.tar.xz", |
||||
"sha256": "adbd0af1f84aea29859c217e028c1a74a5b3a90acce7d679790efd73aff28462", |
||||
"md5": "1f7211cc6ae6e8afd1387469a5e9a9a9", |
||||
"size": "77918104" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "libcusolver/linux-ppc64le/libcusolver-linux-ppc64le-11.3.4.124-archive.tar.xz", |
||||
"sha256": "6b9ab64258e970f6966c133dab767db03dac038cf047641fb677ce9334e53262", |
||||
"md5": "f8b2f8280e8863de318212199fe72494", |
||||
"size": "78066772" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "libcusolver/linux-sbsa/libcusolver-linux-sbsa-11.3.4.124-archive.tar.xz", |
||||
"sha256": "bb0dcef4d8c4e076a724d1a0a7258bffb6e9a9c49357716ed70466b3403eb4e3", |
||||
"md5": "8fced4d6324195575d28464026d26125", |
||||
"size": "77371768" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "libcusolver/windows-x86_64/libcusolver-windows-x86_64-11.3.4.124-archive.zip", |
||||
"sha256": "80d602eef188a19779b0beabb6f3fd9f8eb52ce8c8c61d31a792351d85053996", |
||||
"md5": "123c3e9a0e0933e4c414a28fd382ea7d", |
||||
"size": "110462365" |
||||
} |
||||
}, |
||||
"libcusparse": { |
||||
"name": "CUDA cuSPARSE", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.7.2.124", |
||||
"linux-x86_64": { |
||||
"relative_path": "libcusparse/linux-x86_64/libcusparse-linux-x86_64-11.7.2.124-archive.tar.xz", |
||||
"sha256": "744affcbe5ecc8ca9438f20cf93e43a1648d682f6badfa4494f76ae26a350edc", |
||||
"md5": "b663b089be7b8dba687da98ed9fcf1dd", |
||||
"size": "218747728" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "libcusparse/linux-ppc64le/libcusparse-linux-ppc64le-11.7.2.124-archive.tar.xz", |
||||
"sha256": "97a3abd633cb0c7ce941fdb4f98e82ddd064605c2a864ad4c35eabcca1bfe7c4", |
||||
"md5": "6468ea649e2cd9be3541abc0b5a9d7a9", |
||||
"size": "218901148" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "libcusparse/linux-sbsa/libcusparse-linux-sbsa-11.7.2.124-archive.tar.xz", |
||||
"sha256": "4962d79be52338c911fb5612bb2f7562aa41bda0ec474fc096524bf9dd762922", |
||||
"md5": "1c49c2c1b950b4c874f4254490da1b82", |
||||
"size": "218441052" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "libcusparse/windows-x86_64/libcusparse-windows-x86_64-11.7.2.124-archive.zip", |
||||
"sha256": "4c33673bb1de12005b26fbf5139b6b9e25fbf4490839205036e060af27c1f789", |
||||
"md5": "f32317cca576ab805ec381be38ef225c", |
||||
"size": "180394097" |
||||
} |
||||
}, |
||||
"libnpp": { |
||||
"name": "CUDA NPP", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.6.3.124", |
||||
"linux-x86_64": { |
||||
"relative_path": "libnpp/linux-x86_64/libnpp-linux-x86_64-11.6.3.124-archive.tar.xz", |
||||
"sha256": "be4afe097cc38eea91ef02aea233db9fa3ba7a31bc115fc287e10812441ee5c2", |
||||
"md5": "8300ad8d28a906c386f5338187aee660", |
||||
"size": "165187052" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "libnpp/linux-ppc64le/libnpp-linux-ppc64le-11.6.3.124-archive.tar.xz", |
||||
"sha256": "b55dc9d7e32319a007374cbb191dba1bce1973857a0ae0cc684a4c87e39ac23a", |
||||
"md5": "86e2f863047db392473fb438a9112206", |
||||
"size": "165756596" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "libnpp/linux-sbsa/libnpp-linux-sbsa-11.6.3.124-archive.tar.xz", |
||||
"sha256": "dd3fbe515b0bca6393de5829fb675f8fae9bfa23f0cd5e94a87643088935aa32", |
||||
"md5": "e62dd0d88f234764c097f8a112f61d35", |
||||
"size": "164248860" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "libnpp/windows-x86_64/libnpp-windows-x86_64-11.6.3.124-archive.zip", |
||||
"sha256": "647e78458636d462698fbdbd26c99d4956c917a25a7fd6d2e516a7035a52c857", |
||||
"md5": "bf43f99df8934740762e5dd6e1419198", |
||||
"size": "125797073" |
||||
} |
||||
}, |
||||
"libnvidia_nscq": { |
||||
"name": "NVIDIA NSCQ API", |
||||
"license": "NVIDIA Driver", |
||||
"version": "510.47.03", |
||||
"linux-x86_64": { |
||||
"relative_path": "libnvidia_nscq/linux-x86_64/libnvidia_nscq-linux-x86_64-510.47.03-archive.tar.xz", |
||||
"sha256": "187b07fc6dae26f43bd23276acaf8177f15b32831cde4d21df6abfd6915d30c4", |
||||
"md5": "d13ca7a0403dd22e9441434b617a2d5f", |
||||
"size": "316976" |
||||
} |
||||
}, |
||||
"libnvjpeg": { |
||||
"name": "CUDA nvJPEG", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.6.2.124", |
||||
"linux-x86_64": { |
||||
"relative_path": "libnvjpeg/linux-x86_64/libnvjpeg-linux-x86_64-11.6.2.124-archive.tar.xz", |
||||
"sha256": "ed9f4be96412134195aecbe15b281f3ac8e9b954e0fc62df9279169cf0e0f50b", |
||||
"md5": "dffc64101ced535bf63604421c4afaa8", |
||||
"size": "2045660" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "libnvjpeg/linux-ppc64le/libnvjpeg-linux-ppc64le-11.6.2.124-archive.tar.xz", |
||||
"sha256": "377f5acfc5c25a983b0c3043b6fb9da7077d4d571481b62b091e162d8d8fe3c5", |
||||
"md5": "04f6a60f6c53ce31671e2eeda8f0638e", |
||||
"size": "2077792" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "libnvjpeg/linux-sbsa/libnvjpeg-linux-sbsa-11.6.2.124-archive.tar.xz", |
||||
"sha256": "badbe50dab52403cd152c907c9be7271a25c7e0b2bf7377a1cee13bd63f6c008", |
||||
"md5": "7c7fa8c7ca5d129b2f7d775cb4ac96a1", |
||||
"size": "1864404" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "libnvjpeg/windows-x86_64/libnvjpeg-windows-x86_64-11.6.2.124-archive.zip", |
||||
"sha256": "9a04433b80bb5374c0dcf21e1988a66d6d61009dd431668e5ef412baf1167796", |
||||
"md5": "99d01192cc9c040b7d2a54ae2b7ea2a3", |
||||
"size": "2050577" |
||||
} |
||||
}, |
||||
"nsight_compute": { |
||||
"name": "Nsight Compute", |
||||
"license": "NVIDIA SLA", |
||||
"version": "2022.1.1.2", |
||||
"linux-x86_64": { |
||||
"relative_path": "nsight_compute/linux-x86_64/nsight_compute-linux-x86_64-2022.1.1.2-archive.tar.xz", |
||||
"sha256": "ce3248dc64ec05ad1eb174c7114dda02e3023a4ee9adfe457b662289e3134140", |
||||
"md5": "c1d851ebf7528107555861b4fbc83948", |
||||
"size": "410930844" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "nsight_compute/linux-ppc64le/nsight_compute-linux-ppc64le-2022.1.1.2-archive.tar.xz", |
||||
"sha256": "84c9fdad8865c2c3f505ee781f95b546a8ce5ef712cb43fc856c0c62be9bab24", |
||||
"md5": "4e0660c401e2861bd3a5fa81a44c6fbf", |
||||
"size": "123752204" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "nsight_compute/linux-sbsa/nsight_compute-linux-sbsa-2022.1.1.2-archive.tar.xz", |
||||
"sha256": "5016436938039b284d422a27a954e7483cc15a5d33c512525c2ded860c062747", |
||||
"md5": "241420674893c0dd375847ece4fa4abc", |
||||
"size": "121981328" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "nsight_compute/windows-x86_64/nsight_compute-windows-x86_64-2022.1.1.2-archive.zip", |
||||
"sha256": "4f709728da79048cc50c6079a5f5dd3b7e35c363163484e7f89f8a2595b8d633", |
||||
"md5": "27cdc4affc4d3227905901ae5895e0b4", |
||||
"size": "348353793" |
||||
} |
||||
}, |
||||
"nsight_nvtx": { |
||||
"name": "Nsight NVTX", |
||||
"license": "CUDA Toolkit", |
||||
"version": "1.21018621", |
||||
"windows-x86_64": { |
||||
"relative_path": "nsight_nvtx/windows-x86_64/nsight_nvtx-windows-x86_64-1.21018621-archive.zip", |
||||
"sha256": "d99b015bfb1308206f9d7c16ea401bf426fed3a5a99953b855fe4e68be5ed2d1", |
||||
"md5": "34ee04d45cfca1c4e3cbfba0ec8f6f80", |
||||
"size": "315692" |
||||
} |
||||
}, |
||||
"nsight_systems": { |
||||
"name": "Nsight Systems", |
||||
"license": "NVIDIA SLA", |
||||
"version": "2021.5.2.53", |
||||
"linux-x86_64": { |
||||
"relative_path": "nsight_systems/linux-x86_64/nsight_systems-linux-x86_64-2021.5.2.53-archive.tar.xz", |
||||
"sha256": "27b8c6a171efc5b815035f7e9c9229bdc2c239c1da1956df687f80f78c03c70c", |
||||
"md5": "20dcf79c9b387fcc66956182d56fa7ef", |
||||
"size": "161956304" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "nsight_systems/linux-ppc64le/nsight_systems-linux-ppc64le-2021.5.2.53-archive.tar.xz", |
||||
"sha256": "7c76f0b6e35add162be0a55cb8b673960e2d6e9907875379fd70345c6fbb05d4", |
||||
"md5": "5bc90d4adc83492fc65191c9a1e33d41", |
||||
"size": "47184992" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "nsight_systems/linux-sbsa/nsight_systems-linux-sbsa-2021.5.2.53-archive.tar.xz", |
||||
"sha256": "22bd8ec797d2734b701e5bf62ec095d82687a3eb5daf01a7657cd1aab896fc6d", |
||||
"md5": "1a4e2b8212f8cef37d16c23c9440f680", |
||||
"size": "47348636" |
||||
}, |
||||
"windows-x86_64": { |
||||
"relative_path": "nsight_systems/windows-x86_64/nsight_systems-windows-x86_64-2021.5.2.53-archive.zip", |
||||
"sha256": "6cd2caa431d703f1c54eb65cba2508c150ae115c0b20a58f6c96839bcbc23406", |
||||
"md5": "07582800aee2a476463f866aa25f8a0a", |
||||
"size": "304567470" |
||||
} |
||||
}, |
||||
"nsight_vse": { |
||||
"name": "Nsight Visual Studio Edition (VSE)", |
||||
"license": "NVIDIA SLA", |
||||
"version": "2022.1.1.22006", |
||||
"windows-x86_64": { |
||||
"relative_path": "nsight_vse/windows-x86_64/nsight_vse-windows-x86_64-2022.1.1.22006-archive.zip", |
||||
"sha256": "92c0a591401e085a2ade6688866fa93fb1562d98e4d8321a252b1143e364192a", |
||||
"md5": "67304f264ab92d5ac6706fb0bf3f6eac", |
||||
"size": "455973381" |
||||
} |
||||
}, |
||||
"nvidia_driver": { |
||||
"name": "NVIDIA Linux Driver", |
||||
"license": "NVIDIA Driver", |
||||
"version": "510.47.03", |
||||
"linux-x86_64": { |
||||
"relative_path": "nvidia_driver/linux-x86_64/nvidia_driver-linux-x86_64-510.47.03-archive.tar.xz", |
||||
"sha256": "668a653cb4e9b89279a31c2fac23306c80b8f2b4b27b4e066cfe322d9347e1b7", |
||||
"md5": "b9a80476a86e6186645c37b7a9a7791a", |
||||
"size": "327247384" |
||||
}, |
||||
"linux-ppc64le": { |
||||
"relative_path": "nvidia_driver/linux-ppc64le/nvidia_driver-linux-ppc64le-510.47.03-archive.tar.xz", |
||||
"sha256": "28c278660d10ba63420990e164aafd866a9907a66323db9570ad1a9ada37ae0f", |
||||
"md5": "0a3f82d50ea4ac361eb2def1d763947f", |
||||
"size": "73666716" |
||||
}, |
||||
"linux-sbsa": { |
||||
"relative_path": "nvidia_driver/linux-sbsa/nvidia_driver-linux-sbsa-510.47.03-archive.tar.xz", |
||||
"sha256": "1f2e0b90621f67477d5bfcd8ff28b01eca9cdb79a2ba911b07671953e44618ad", |
||||
"md5": "d555c62d414121623b4906ecb3de06e8", |
||||
"size": "211721052" |
||||
} |
||||
}, |
||||
"nvidia_fs": { |
||||
"name": "NVIDIA filesystem", |
||||
"license": "CUDA Toolkit", |
||||
"version": "2.11.0", |
||||
"linux-x86_64": { |
||||
"relative_path": "nvidia_fs/linux-x86_64/nvidia_fs-linux-x86_64-2.11.0-archive.tar.xz", |
||||
"sha256": "ea260e5e8c9df3d4f1448684350a0fa7931dd45918329bda96378b173ea63b24", |
||||
"md5": "676b88c768132bd4775c91291af90b55", |
||||
"size": "69588" |
||||
} |
||||
}, |
||||
"visual_studio_integration": { |
||||
"name": "CUDA Visual Studio Integration", |
||||
"license": "CUDA Toolkit", |
||||
"version": "11.6.124", |
||||
"windows-x86_64": { |
||||
"relative_path": "visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-11.6.124-archive.zip", |
||||
"sha256": "0a8e288bb604dc2af766f65042aeb4675a7b15629e71c7c3341d0fd8aab2de91", |
||||
"md5": "248f627cccca3ee81c561aaea5193271", |
||||
"size": "517139" |
||||
} |
||||
} |
||||
} |
@ -0,0 +1,72 @@ |
||||
final: prev: let |
||||
inherit (prev) lib pkgs; |
||||
in (lib.filterAttrs (attr: _: (prev ? "${attr}")) { |
||||
### Overrides to fix the components of cudatoolkit-redist |
||||
|
||||
# Attributes that don't exist in the previous set are removed. |
||||
# That means only overrides can go here, and not new expressions! |
||||
|
||||
libcufile = prev.libcufile.overrideAttrs (oldAttrs: { |
||||
buildInputs = oldAttrs.buildInputs ++ [ |
||||
prev.libcublas |
||||
pkgs.numactl |
||||
pkgs.rdma-core |
||||
]; |
||||
# libcuda needs to be resolved during runtime |
||||
autoPatchelfIgnoreMissingDeps = true; |
||||
}); |
||||
|
||||
libcusolver = final.addBuildInputs prev.libcusolver [ |
||||
prev.libcublas |
||||
]; |
||||
|
||||
cuda_nvprof = prev.cuda_nvprof.overrideAttrs (oldAttrs: { |
||||
nativeBuildInputs = oldAttrs.nativeBuildInputs ++ [ pkgs.addOpenGLRunpath ]; |
||||
buildInputs = oldAttrs.buildInputs ++ [ prev.cuda_cupti ]; |
||||
# libcuda needs to be resolved during runtime |
||||
autoPatchelfIgnoreMissingDeps = true; |
||||
}); |
||||
|
||||
cuda_demo_suite = final.addBuildInputs prev.cuda_demo_suite [ |
||||
pkgs.freeglut |
||||
pkgs.libGLU |
||||
pkgs.libglvnd |
||||
pkgs.mesa |
||||
prev.libcufft |
||||
prev.libcurand |
||||
]; |
||||
|
||||
nsight_compute = prev.nsight_compute.overrideAttrs (oldAttrs: { |
||||
nativeBuildInputs = oldAttrs.nativeBuildInputs ++ [ pkgs.qt5.wrapQtAppsHook ]; |
||||
buildInputs = oldAttrs.buildInputs ++ [ pkgs.libsForQt5.qt5.qtwebview ]; |
||||
}); |
||||
|
||||
nsight_systems = prev.nsight_systems.overrideAttrs (oldAttrs: { |
||||
nativeBuildInputs = oldAttrs.nativeBuildInputs ++ [ |
||||
pkgs.addOpenGLRunpath |
||||
pkgs.qt5.wrapQtAppsHook |
||||
]; |
||||
buildInputs = oldAttrs.buildInputs ++ [ |
||||
pkgs.alsa-lib |
||||
pkgs.e2fsprogs |
||||
pkgs.nss |
||||
pkgs.numactl |
||||
pkgs.pulseaudio |
||||
pkgs.wayland |
||||
pkgs.xorg.libXcursor |
||||
pkgs.xorg.libXdamage |
||||
pkgs.xorg.libXrandr |
||||
pkgs.xorg.libXtst |
||||
]; |
||||
# libcuda needs to be resolved during runtime |
||||
autoPatchelfIgnoreMissingDeps = true; |
||||
}); |
||||
|
||||
nvidia_driver = prev.nvidia_driver.overrideAttrs (oldAttrs: { |
||||
# libcuda needs to be resolved during runtime |
||||
autoPatchelfIgnoreMissingDeps = true; |
||||
# No need to support this package as we have drivers already |
||||
# in linuxPackages. |
||||
meta.broken = true; |
||||
}); |
||||
}) |
@ -0,0 +1,59 @@ |
||||
["10.0"] |
||||
version = "10.0.130" |
||||
url = "https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux" |
||||
sha256 = "16p3bv1lwmyqpxil8r951h385sy9asc578afrc7lssa68c71ydcj" |
||||
gcc = "gcc7" |
||||
|
||||
["10.1"] |
||||
version = "10.1.243" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run" |
||||
sha256 = "0caxhlv2bdq863dfp6wj7nad66ml81vasq2ayf11psvq2b12vhp7" |
||||
gcc = "gcc7" |
||||
|
||||
["10.2"] |
||||
version = "10.2.89" |
||||
url = "http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run" |
||||
sha256 = "04fasl9sjkb1jvchvqgaqxprnprcz7a8r52249zp2ijarzyhf3an" |
||||
gcc = "gcc7" |
||||
|
||||
["11.0"] |
||||
version = "11.0.3" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run" |
||||
sha256 = "1h4c69nfrgm09jzv8xjnjcvpq8n4gnlii17v3wzqry5d13jc8ydh" |
||||
gcc = "gcc9" |
||||
|
||||
["11.1"] |
||||
version = "11.1.1" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run" |
||||
sha256 = "13yxv2fgvdnqqbwh1zb80x4xhyfkbajfkwyfpdg9493010kngbiy" |
||||
gcc = "gcc9" |
||||
|
||||
["11.2"] |
||||
version = "11.2.1" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/cuda_11.2.1_460.32.03_linux.run" |
||||
sha256 = "sha256-HamMuJfMX1inRFpKZspPaSaGdwbLOvWKZpzc2Nw9F8g=" |
||||
gcc = "gcc9" |
||||
|
||||
["11.3"] |
||||
version = "11.3.1" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run" |
||||
sha256 = "0d19pwcqin76scbw1s5kgj8n0z1p4v1hyfldqmamilyfxycfm4xd" |
||||
gcc = "gcc9" |
||||
|
||||
["11.4"] |
||||
version = "11.4.2" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_470.57.02_linux.run" |
||||
sha256 = "sha256-u9h8oOkT+DdFSnljZ0c1E83e9VUILk2G7Zo4ZZzIHwo=" |
||||
gcc = "gcc10" # can bump to 11 along with stdenv.cc |
||||
|
||||
["11.5"] |
||||
version = "11.5.0" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run" |
||||
sha256 = "sha256-rgoWk9lJfPPYHmlIlD43lGNpANtxyY1Y7v2sr38aHkw=" |
||||
gcc = "gcc10" # can bump to 11 along with stdenv.cc |
||||
|
||||
["11.6"] |
||||
version = "11.6.1" |
||||
url = "https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run" |
||||
sha256 = "sha256-qyGa/OALdCABEyaYZvv/derQN7z8I1UagzjCaEyYTX4=" |
||||
gcc = "gcc10" # can bump to 11 along with stdenv.cc |
@ -0,0 +1,13 @@ |
||||
--- a/src/tools/rustfmt/src/ignore_path.rs
|
||||
+++ b/src/tools/rustfmt/src/ignore_path.rs
|
||||
@@ -37,9 +37,9 @@
|
||||
#[nightly_only_test]
|
||||
#[test]
|
||||
fn test_ignore_path_set() {
|
||||
- use std::path::{Path, PathBuf};
|
||||
use crate::config::{Config, FileName};
|
||||
use crate::ignore_path::IgnorePathSet;
|
||||
+ use std::path::{Path, PathBuf};
|
||||
|
||||
let config =
|
||||
Config::from_toml(r#"ignore = ["foo.rs", "bar_dir/*"]"#, Path::new("")).unwrap();
|
@ -1,114 +0,0 @@ |
||||
# The following version combinations are supported: |
||||
# * cuDNN 7.4.2, cudatoolkit 10.0 |
||||
# * cuDNN 7.6.5, cudatoolkit 10.0-10.1 |
||||
# * cuDNN 8.1.1, cudatoolkit 10.2-11.2 |
||||
# * cuDNN 8.3.2, cudatoolkit 10.2-11.5 |
||||
{ callPackage |
||||
, cudatoolkit_10 |
||||
, cudatoolkit_10_0 |
||||
, cudatoolkit_10_1 |
||||
, cudatoolkit_10_2 |
||||
, cudatoolkit_11 |
||||
, cudatoolkit_11_0 |
||||
, cudatoolkit_11_1 |
||||
, cudatoolkit_11_2 |
||||
, cudatoolkit_11_3 |
||||
, cudatoolkit_11_4 |
||||
, cudatoolkit_11_5 |
||||
, fetchurl |
||||
, lib |
||||
}: |
||||
|
||||
let |
||||
generic = args: callPackage (import ./generic.nix (removeAttrs args [ "cudatoolkit" ])) { |
||||
inherit (args) cudatoolkit; |
||||
}; |
||||
urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn"; |
||||
in |
||||
rec { |
||||
# cuDNN 7.x |
||||
# Still used by libtensorflow-bin. It should be upgraded at some point. |
||||
cudnn_7_4_cudatoolkit_10_0 = generic rec { |
||||
version = "7.4.2"; |
||||
cudatoolkit = cudatoolkit_10_0; |
||||
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_742/cudnn-support-matrix/index.html#cudnn-cuda-hardware-versions__table-cudnn-cuda-hardware-versions. |
||||
minCudaVersion = "9.2.88"; |
||||
maxCudaVersion = "10.0.99999"; |
||||
mkSrc = _: fetchurl { |
||||
url = "${urlPrefix}/v${version}/cudnn-10.0-linux-x64-v7.4.2.24.tgz"; |
||||
hash = "sha256-Lt/IagK1DRfojEeJVaMy5qHoF05+U6NFi06lH68C2qM="; |
||||
}; |
||||
}; |
||||
# The only overlap between supported and packaged CUDA versions is 10.0. |
||||
|
||||
cudnn_7_6_cudatoolkit_10_0 = generic rec { |
||||
version = "7.6.5"; |
||||
cudatoolkit = cudatoolkit_10_0; |
||||
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_765/cudnn-support-matrix/index.html#cudnn-versions-763-765. |
||||
minCudaVersion = "9.2.148"; |
||||
maxCudaVersion = "10.1.243"; |
||||
mkSrc = cudatoolkit: fetchurl { |
||||
url = "${urlPrefix}/v${version}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v7.6.5.32.tgz"; |
||||
hash = { |
||||
"10.0" = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro="; |
||||
"10.1" = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLM="; |
||||
}."${cudatoolkit.majorVersion}"; |
||||
}; |
||||
}; |
||||
cudnn_7_6_cudatoolkit_10_1 = cudnn_7_6_cudatoolkit_10_0.override { cudatoolkit = cudatoolkit_10_1; }; |
||||
|
||||
# cuDNN 8.x |
||||
# cuDNN 8.1 is still used by tensorflow at the time of writing (2022-02-17). |
||||
# See https://github.com/NixOS/nixpkgs/pull/158218 for more info. |
||||
cudnn_8_1_cudatoolkit_10_2 = generic rec { |
||||
version = "8.1.1"; |
||||
cudatoolkit = cudatoolkit_10_2; |
||||
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811. |
||||
minCudaVersion = "10.2.00000"; |
||||
maxCudaVersion = "11.2.99999"; |
||||
mkSrc = cudatoolkit: |
||||
let v = if lib.versions.majorMinor cudatoolkit.version == "10.2" then "10.2" else "11.2"; in |
||||
fetchurl { |
||||
url = "${urlPrefix}/v${version}/cudnn-${v}-linux-x64-v8.1.1.33.tgz"; |
||||
hash = { |
||||
"10.2" = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0="; |
||||
"11.2" = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo="; |
||||
}."${v}"; |
||||
}; |
||||
}; |
||||
cudnn_8_1_cudatoolkit_11_0 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_0; }; |
||||
cudnn_8_1_cudatoolkit_11_1 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_1; }; |
||||
cudnn_8_1_cudatoolkit_11_2 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_2; }; |
||||
|
||||
cudnn_8_1_cudatoolkit_10 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_10; }; |
||||
|
||||
# cuDNN 8.3 is necessary for the latest jaxlib, esp. jaxlib-bin. See |
||||
# https://github.com/google/jax/discussions/9455 for more info. |
||||
cudnn_8_3_cudatoolkit_10_2 = generic rec { |
||||
version = "8.3.2"; |
||||
cudatoolkit = cudatoolkit_10_2; |
||||
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-832/support-matrix/index.html#cudnn-cuda-hardware-versions. |
||||
minCudaVersion = "10.2.00000"; |
||||
maxCudaVersion = "11.5.99999"; |
||||
mkSrc = cudatoolkit: |
||||
let v = if lib.versions.majorMinor cudatoolkit.version == "10.2" then "10.2" else "11.5"; in |
||||
fetchurl { |
||||
# Starting at version 8.3.1 there's a new directory layout including |
||||
# a subdirectory `local_installers`. |
||||
url = "https://developer.download.nvidia.com/compute/redist/cudnn/v${version}/local_installers/${v}/cudnn-linux-x86_64-8.3.2.44_cuda${v}-archive.tar.xz"; |
||||
hash = { |
||||
"10.2" = "sha256-1vVu+cqM+PketzIQumw9ykm6REbBZhv6/lXB7EC2aaw="; |
||||
"11.5" = "sha256-VQCVPAjF5dHd3P2iNPnvvdzb5DpTsm3AqCxyP6FwxFc="; |
||||
}."${v}"; |
||||
}; |
||||
}; |
||||
cudnn_8_3_cudatoolkit_11_0 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_0; }; |
||||
cudnn_8_3_cudatoolkit_11_1 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_1; }; |
||||
cudnn_8_3_cudatoolkit_11_2 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_2; }; |
||||
cudnn_8_3_cudatoolkit_11_3 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_3; }; |
||||
cudnn_8_3_cudatoolkit_11_4 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_4; }; |
||||
cudnn_8_3_cudatoolkit_11_5 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_5; }; |
||||
|
||||
cudnn_8_3_cudatoolkit_10 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_10; }; |
||||
cudnn_8_3_cudatoolkit_11 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11; }; |
||||
} |
@ -0,0 +1,112 @@ |
||||
final: prev: let |
||||
|
||||
inherit (final) callPackage; |
||||
inherit (prev) cudatoolkit cudaVersion lib pkgs; |
||||
|
||||
### CuDNN |
||||
|
||||
buildCuDnnPackage = args: callPackage ./generic.nix {} args; |
||||
|
||||
toUnderscore = str: lib.replaceStrings ["."] ["_"] str; |
||||
|
||||
majorMinorPatch = str: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion str)); |
||||
|
||||
cuDnnPackages = with lib; let |
||||
# Check whether a file is supported for our cuda version |
||||
isSupported = fileData: elem cudaVersion fileData.supportedCudaVersions; |
||||
# Return the first file that is supported. In practice there should only ever be one anyway. |
||||
supportedFile = files: findFirst isSupported null files; |
||||
# Supported versions with versions as keys and file as value |
||||
supportedVersions = filterAttrs (version: file: file !=null ) (mapAttrs (version: files: supportedFile files) cuDnnVersions); |
||||
# Compute versioned attribute name to be used in this package set |
||||
computeName = version: "cudnn_${toUnderscore version}"; |
||||
# Add all supported builds as attributes |
||||
allBuilds = mapAttrs' (version: file: nameValuePair (computeName version) (buildCuDnnPackage (removeAttrs file ["fileVersion"]))) supportedVersions; |
||||
# Set the default attributes, e.g. cudnn = cudnn_8_3_1; |
||||
defaultBuild = { "cudnn" = allBuilds.${computeName cuDnnDefaultVersion}; }; |
||||
in allBuilds // defaultBuild; |
||||
|
||||
cuDnnVersions = let |
||||
urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn"; |
||||
in { |
||||
"7.4.2" = [ |
||||
rec { |
||||
fileVersion = "10.0"; |
||||
fullVersion = "7.4.2.24"; |
||||
sha256 = "18ys0apiz9afid2s6lvy9qbyi8g66aimb2a7ikl1f3dm09mciprf"; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-10.0-linux-x64-v${fullVersion}.tgz"; |
||||
supportedCudaVersions = [ "10.0" ]; |
||||
} |
||||
]; |
||||
"7.6.5" = [ |
||||
rec { |
||||
fileVersion = "10.0"; |
||||
fullVersion = "7.6.5.32"; |
||||
hash = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz"; |
||||
supportedCudaVersions = [ "10.0" ]; |
||||
} |
||||
rec { |
||||
fileVersion = "10.1"; |
||||
fullVersion = "7.6.5.32"; |
||||
hash = "sha256-YAJn8squ0v1Y6yFLpmnY6jXzlqfRm5SCLms2+fcIjCA="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz"; |
||||
supportedCudaVersions = [ "10.1" ]; |
||||
} |
||||
rec { |
||||
fileVersion = "10.2"; |
||||
fullVersion = "7.6.5.32"; |
||||
hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLN="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz"; |
||||
supportedCudaVersions = [ "10.2" ]; |
||||
} |
||||
]; |
||||
"8.1.1" = [ |
||||
rec { |
||||
fileVersion = "10.2"; |
||||
fullVersion = "8.1.1.33"; |
||||
hash = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz"; |
||||
supportedCudaVersions = [ "10.2" ]; |
||||
} |
||||
rec { |
||||
fileVersion = "11.2"; |
||||
fullVersion = "8.1.1.33"; |
||||
hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz"; |
||||
supportedCudaVersions = [ "11.2" ]; |
||||
} |
||||
]; |
||||
"8.3.2" = [ |
||||
rec { |
||||
fileVersion = "10.2"; |
||||
fullVersion = "8.3.2.44"; |
||||
hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz"; |
||||
supportedCudaVersions = [ "10.2" ]; |
||||
} |
||||
rec { |
||||
fileVersion = "11.5"; |
||||
fullVersion = "8.3.2.44"; |
||||
hash = "sha256-VQCVPAjF5dHd3P2iNPnvvdzb5DpTsm3AqCxyP6FwxFc="; |
||||
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz"; |
||||
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.4" "11.5" "11.6" ]; |
||||
} |
||||
]; |
||||
}; |
||||
|
||||
# Default attributes |
||||
cuDnnDefaultVersion = { |
||||
"10.0" = "7.4.2"; |
||||
"10.1" = "7.6.5"; |
||||
"10.2" = "8.3.2"; |
||||
"11.0" = "8.3.2"; |
||||
"11.1" = "8.3.2"; |
||||
"11.2" = "8.3.2"; |
||||
"11.3" = "8.3.2"; |
||||
"11.4" = "8.3.2"; |
||||
"11.5" = "8.3.2"; |
||||
"11.6" = "8.3.2"; |
||||
}.${cudaVersion}; |
||||
|
||||
in cuDnnPackages |
@ -1,48 +0,0 @@ |
||||
{ callPackage |
||||
, cudatoolkit_10_1 |
||||
, cudatoolkit_10_2 |
||||
, cudatoolkit_11 |
||||
, cudatoolkit_11_0 |
||||
, cudatoolkit_11_1 |
||||
, cudatoolkit_11_2 |
||||
, cudatoolkit_11_3 |
||||
, cudatoolkit_11_4 |
||||
, cudatoolkit_11_5 |
||||
, cudatoolkit_11_6 |
||||
}: |
||||
|
||||
rec { |
||||
cutensor_cudatoolkit_10_1 = callPackage ./generic.nix rec { |
||||
version = "1.2.2.5"; |
||||
libPath = "lib/10.1"; |
||||
cudatoolkit = cudatoolkit_10_1; |
||||
# 1.2.2 is compatible with CUDA 10.1, 10.2, and 11.x. |
||||
# See https://docs.nvidia.com/cuda/cutensor/release_notes.html#cutensor-v1-2-2. |
||||
hash = "sha256-lU7iK4DWuC/U3s1Ct/rq2Gr3w4F2U7RYYgpmF05bibY="; |
||||
}; |
||||
|
||||
cutensor_cudatoolkit_10_2 = cutensor_cudatoolkit_10_1.override { |
||||
version = "1.3.1.3"; |
||||
libPath = "lib/10.2"; |
||||
cudatoolkit = cudatoolkit_10_2; |
||||
# 1.3.1 is compatible with CUDA 10.2 and 11.x. |
||||
# See https://docs.nvidia.com/cuda/cutensor/release_notes.html#cutensor-v1-3-1. |
||||
hash = "sha256-mNlVnabB2IC3HnYY0mb06RLqQzDxN9ePGVeBy3hkBC8="; |
||||
}; |
||||
|
||||
cutensor_cudatoolkit_10 = cutensor_cudatoolkit_10_2; |
||||
|
||||
cutensor_cudatoolkit_11_0 = cutensor_cudatoolkit_10_2.override { |
||||
libPath = "lib/11"; |
||||
cudatoolkit = cudatoolkit_11_0; |
||||
}; |
||||
|
||||
cutensor_cudatoolkit_11_1 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_1; }; |
||||
cutensor_cudatoolkit_11_2 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_2; }; |
||||
cutensor_cudatoolkit_11_3 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_3; }; |
||||
cutensor_cudatoolkit_11_4 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_4; }; |
||||
cutensor_cudatoolkit_11_5 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_5; }; |
||||
cutensor_cudatoolkit_11_6 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_6; }; |
||||
|
||||
cutensor_cudatoolkit_11 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11; }; |
||||
} |
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,182 @@ |
||||
diff --git a/fipy/meshes/gmshMesh.py b/fipy/meshes/gmshMesh.py
|
||||
index fc3ff6c8..d529d532 100755
|
||||
--- a/fipy/meshes/gmshMesh.py
|
||||
+++ b/fipy/meshes/gmshMesh.py
|
||||
@@ -13,11 +13,11 @@ import sys
|
||||
import tempfile
|
||||
from textwrap import dedent
|
||||
import warnings
|
||||
-from distutils.version import StrictVersion
|
||||
|
||||
from fipy.tools import numerix as nx
|
||||
from fipy.tools import parallelComm
|
||||
from fipy.tools import serialComm
|
||||
+from fipy.tools.version import Version, parse_version
|
||||
from fipy.tests.doctestPlus import register_skipper
|
||||
|
||||
from fipy.meshes.mesh import Mesh
|
||||
@@ -38,7 +38,7 @@ def _checkForGmsh():
|
||||
hasGmsh = True
|
||||
try:
|
||||
version = _gmshVersion(communicator=parallelComm)
|
||||
- hasGmsh = version >= StrictVersion("2.0")
|
||||
+ hasGmsh = version >= Version("2.0")
|
||||
except Exception:
|
||||
hasGmsh = False
|
||||
return hasGmsh
|
||||
@@ -68,6 +68,7 @@ def gmshVersion(communicator=parallelComm):
|
||||
while True:
|
||||
try:
|
||||
# gmsh returns version in stderr (Why?!?)
|
||||
+ # (newer versions of gmsh return the version in stdout)
|
||||
# spyder on Windows throws
|
||||
# OSError: [WinError 6] The handle is invalid
|
||||
# if we don't PIPE stdout, too
|
||||
@@ -77,8 +78,11 @@ def gmshVersion(communicator=parallelComm):
|
||||
break
|
||||
|
||||
try:
|
||||
- out, verStr = p.communicate()
|
||||
- verStr = verStr.decode('ascii').strip()
|
||||
+ out, err = p.communicate()
|
||||
+ verStr = err.decode('ascii').strip()
|
||||
+ if not verStr:
|
||||
+ # newer versions of gmsh return the version in stdout
|
||||
+ verStr = out.decode('ascii').strip()
|
||||
break
|
||||
except IOError:
|
||||
# some weird conflict with things like PyQT can cause
|
||||
@@ -93,12 +97,12 @@ def gmshVersion(communicator=parallelComm):
|
||||
def _gmshVersion(communicator=parallelComm):
|
||||
version = gmshVersion(communicator) or "0.0"
|
||||
try:
|
||||
- version = StrictVersion(version)
|
||||
+ version = parse_version(version)
|
||||
except ValueError:
|
||||
# gmsh returns the version string in stderr,
|
||||
# which means it's often unparsable due to irrelevant warnings
|
||||
# assume it's OK and move on
|
||||
- version = StrictVersion("3.0")
|
||||
+ version = Version("3.0")
|
||||
|
||||
return version
|
||||
|
||||
@@ -133,7 +137,7 @@ def openMSHFile(name, dimensions=None, coordDimensions=None, communicator=parall
|
||||
|
||||
# Enforce gmsh version to be either >= 2 or 2.5, based on Nproc.
|
||||
version = _gmshVersion(communicator=communicator)
|
||||
- if version < StrictVersion("2.0"):
|
||||
+ if version < Version("2.0"):
|
||||
raise EnvironmentError("Gmsh version must be >= 2.0.")
|
||||
|
||||
# If we're being passed a .msh file, leave it be. Otherwise,
|
||||
@@ -176,9 +180,11 @@ def openMSHFile(name, dimensions=None, coordDimensions=None, communicator=parall
|
||||
gmshFlags = ["-%d" % dimensions, "-nopopup"]
|
||||
|
||||
if communicator.Nproc > 1:
|
||||
- if not (StrictVersion("2.5") < version <= StrictVersion("4.0")):
|
||||
- warnstr = "Cannot partition with Gmsh version < 2.5 or >= 4.0. " \
|
||||
- + "Reverting to serial."
|
||||
+ if ((version < Version("2.5"))
|
||||
+ or (Version("4.0") <= version < Version("4.5.2"))):
|
||||
+ warnstr = ("Cannot partition with Gmsh version < 2.5 "
|
||||
+ "or 4.0 <= version < 4.5.2. "
|
||||
+ "Reverting to serial.")
|
||||
warnings.warn(warnstr, RuntimeWarning, stacklevel=2)
|
||||
communicator = serialComm
|
||||
|
||||
@@ -188,13 +194,13 @@ def openMSHFile(name, dimensions=None, coordDimensions=None, communicator=parall
|
||||
raise ValueError("'dimensions' must be specified to generate a mesh from a geometry script")
|
||||
else: # gmsh version is adequate for partitioning
|
||||
gmshFlags += ["-part", "%d" % communicator.Nproc]
|
||||
- if version >= StrictVersion("4.0"):
|
||||
+ if version >= Version("4.0"):
|
||||
# Gmsh 4.x needs to be told to generate ghost cells
|
||||
- # Unfortunately, the ghosts are broken
|
||||
+ # Unfortunately, the ghosts are broken in Gmsh 4.0--4.5.1
|
||||
# https://gitlab.onelab.info/gmsh/gmsh/issues/733
|
||||
gmshFlags += ["-part_ghosts"]
|
||||
|
||||
- gmshFlags += ["-format", "msh2"]
|
||||
+ gmshFlags += ["-format", "msh2", "-smooth", "8"]
|
||||
|
||||
if background is not None:
|
||||
if communicator.procID == 0:
|
||||
@@ -1387,6 +1393,11 @@ class _GmshTopology(_MeshTopology):
|
||||
class Gmsh2D(Mesh2D):
|
||||
"""Construct a 2D Mesh using Gmsh
|
||||
|
||||
+ If called in parallel, the mesh will be partitioned based on the value
|
||||
+ of `parallelComm.Nproc`. If an `MSH` file is supplied, it must have
|
||||
+ been previously partitioned with the number of partitions matching
|
||||
+ `parallelComm.Nproc`.
|
||||
+
|
||||
>>> radius = 5.
|
||||
>>> side = 4.
|
||||
>>> squaredCircle = Gmsh2D('''
|
||||
@@ -1875,6 +1886,11 @@ class Gmsh2D(Mesh2D):
|
||||
class Gmsh2DIn3DSpace(Gmsh2D):
|
||||
"""Create a topologically 2D Mesh in 3D coordinates using Gmsh
|
||||
|
||||
+ If called in parallel, the mesh will be partitioned based on the value
|
||||
+ of `parallelComm.Nproc`. If an `MSH` file is supplied, it must have
|
||||
+ been previously partitioned with the number of partitions matching
|
||||
+ `parallelComm.Nproc`.
|
||||
+
|
||||
Parameters
|
||||
----------
|
||||
arg : str
|
||||
@@ -1959,6 +1975,11 @@ class Gmsh2DIn3DSpace(Gmsh2D):
|
||||
class Gmsh3D(Mesh):
|
||||
"""Create a 3D Mesh using Gmsh
|
||||
|
||||
+ If called in parallel, the mesh will be partitioned based on the value
|
||||
+ of `parallelComm.Nproc`. If an `MSH` file is supplied, it must have
|
||||
+ been previously partitioned with the number of partitions matching
|
||||
+ `parallelComm.Nproc`.
|
||||
+
|
||||
Parameters
|
||||
----------
|
||||
arg : str
|
||||
@@ -2225,7 +2246,7 @@ class GmshGrid2D(Gmsh2D):
|
||||
width = nx * dx
|
||||
numLayers = int(ny / float(dy))
|
||||
|
||||
- if _gmshVersion() < StrictVersion("2.7"):
|
||||
+ if _gmshVersion() < Version("2.7"):
|
||||
# kludge: must offset cellSize by `eps` to work properly
|
||||
eps = float(dx)/(nx * 10)
|
||||
else:
|
||||
@@ -2299,7 +2320,7 @@ class GmshGrid3D(Gmsh3D):
|
||||
width = nx * dx
|
||||
depth = nz * dz
|
||||
|
||||
- if _gmshVersion() < StrictVersion("2.7"):
|
||||
+ if _gmshVersion() < Version("2.7"):
|
||||
# kludge: must offset cellSize by `eps` to work properly
|
||||
eps = float(dx)/(nx * 10)
|
||||
else:
|
||||
diff --git a/fipy/tools/version.py b/fipy/tools/version.py
|
||||
new file mode 100644
|
||||
index 00000000..93d89c18
|
||||
--- /dev/null
|
||||
+++ b/fipy/tools/version.py
|
||||
@@ -0,0 +1,18 @@
|
||||
+"""Shim for version checking
|
||||
+
|
||||
+`distutils.version` is deprecated, but `packaging.version` is unavailable
|
||||
+in Python 2.7
|
||||
+"""
|
||||
+from __future__ import unicode_literals
|
||||
+
|
||||
+__docformat__ = 'restructuredtext'
|
||||
+
|
||||
+
|
||||
+__all__ = ["Version", "parse_version"]
|
||||
+from future.utils import text_to_native_str
|
||||
+__all__ = [text_to_native_str(n) for n in __all__]
|
||||
+
|
||||
+try:
|
||||
+ from packaging.version import Version, parse as parse_version
|
||||
+except ImportError:
|
||||
+ from distutils.version import StrictVersion as Version, StrictVersion as parse_version
|
@ -0,0 +1,13 @@ |
||||
#!/usr/bin/env nix-shell |
||||
#!nix-shell -i bash -p curl common-updater-scripts |
||||
|
||||
oldVersion="$(nix-instantiate --eval -E "with import ./. {}; lib.getVersion wiki-js" | tr -d '"')" |
||||
latestTag="$(git ls-remote --tags --sort="v:refname" https://github.com/Requarks/wiki.git | tail -1 | awk '{ print $2 }' | sed -E "s,^refs/tags/v(.*)$,\1,")" |
||||
|
||||
targetVersion="${1:-$latestTag}" |
||||
if [ ! "${oldVersion}" = "${targetVersion}" ]; then |
||||
update-source-version wiki-js "${targetVersion}" |
||||
nix-build -A wiki-js |
||||
else |
||||
echo "wiki-js is already up-to-date" |
||||
fi |
@ -1,52 +0,0 @@ |
||||
{ callPackage |
||||
, cudatoolkit_10_1, cudatoolkit_10_2 |
||||
, cudatoolkit_11_0, cudatoolkit_11_1, cudatoolkit_11_2, cudatoolkit_11_3, cudatoolkit_11_4 |
||||
, cutensor_cudatoolkit_10_1, cutensor_cudatoolkit_10_2 |
||||
, cutensor_cudatoolkit_11_0, cutensor_cudatoolkit_11_1, cutensor_cudatoolkit_11_2, cutensor_cudatoolkit_11_3, cutensor_cudatoolkit_11_4 |
||||
}: |
||||
|
||||
rec { |
||||
|
||||
cuda-library-samples_cudatoolkit_10_1 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_10_1; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_10_1; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_10_2 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_10_2; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_10_2; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_10 = |
||||
cuda-library-samples_cudatoolkit_10_2; |
||||
|
||||
## |
||||
|
||||
cuda-library-samples_cudatoolkit_11_0 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_0; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_11_0; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_11_1 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_1; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_11_1; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_11_2 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_2; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_11_2; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_11_3 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_3; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_11_3; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_11_4 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_4; |
||||
cutensor_cudatoolkit = cutensor_cudatoolkit_11_4; |
||||
}; |
||||
|
||||
cuda-library-samples_cudatoolkit_11 = |
||||
cuda-library-samples_cudatoolkit_11_4; |
||||
} |
@ -0,0 +1,3 @@ |
||||
final: prev: { |
||||
cuda-library-samples = final.callPackage ./generic.nix { }; |
||||
} |
@ -1,54 +0,0 @@ |
||||
{ callPackage |
||||
, cudatoolkit_10_0, cudatoolkit_10_1, cudatoolkit_10_2 |
||||
, cudatoolkit_11_0, cudatoolkit_11_1, cudatoolkit_11_2, cudatoolkit_11_3, cudatoolkit_11_4 |
||||
}: |
||||
|
||||
rec { |
||||
## |
||||
|
||||
cuda-samples_cudatoolkit_10_0 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_10_0; |
||||
sha256 = "1zvh4xsdyc59m87brpcmssxsjlp9dkynh4asnkcmc3g94f53l0jw"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_10_1 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_10_1; |
||||
sha256 = "1s8ka0hznrni36ajhzf2gqpdrl8kd8fi047qijxks5l2abc093qd"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_10_2 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_10_2; |
||||
sha256 = "01p1innzgh9siacpld6nsqimj8jkg93rk4gj8q4crn62pa5vhd94"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_10 = cuda-samples_cudatoolkit_10_2; |
||||
|
||||
## |
||||
|
||||
cuda-samples_cudatoolkit_11_0 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_0; |
||||
sha256 = "1n3vjc8c7zdig2xgl5fppavrphqzhdiv9m9nk6smh4f99fwi0705"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_11_1 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_1; |
||||
sha256 = "1kjixk50i8y1bkiwbdn5lkv342crvkmbvy1xl5j3lsa1ica21kwh"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_11_2 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_2; |
||||
sha256 = "1p1qjvfbm28l933mmnln02rqrf0cy9kbpsyb488d1haiqzvrazl1"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_11_3 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_3; |
||||
sha256 = "0kbibb6pgz8j5iq6284axcnmycaha9bw8qlmdp6yfwmnahq1v0yz"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_11_4 = callPackage ./generic.nix { |
||||
cudatoolkit = cudatoolkit_11_4; |
||||
sha256 = "082dkk5y34wyvjgj2p5j1d00rk8xaxb9z0mhvz16bd469r1bw2qk"; |
||||
}; |
||||
|
||||
cuda-samples_cudatoolkit_11 = cuda-samples_cudatoolkit_11_4; |
||||
} |
@ -0,0 +1,20 @@ |
||||
final: prev: let |
||||
|
||||
sha256 = { |
||||
"10.0" = "1zvh4xsdyc59m87brpcmssxsjlp9dkynh4asnkcmc3g94f53l0jw"; |
||||
"10.1" = "1s8ka0hznrni36ajhzf2gqpdrl8kd8fi047qijxks5l2abc093qd"; |
||||
"10.2" = "01p1innzgh9siacpld6nsqimj8jkg93rk4gj8q4crn62pa5vhd94"; |
||||
"11.0" = "1n3vjc8c7zdig2xgl5fppavrphqzhdiv9m9nk6smh4f99fwi0705"; |
||||
"11.1" = "1kjixk50i8y1bkiwbdn5lkv342crvkmbvy1xl5j3lsa1ica21kwh"; |
||||
"11.2" = "1p1qjvfbm28l933mmnln02rqrf0cy9kbpsyb488d1haiqzvrazl1"; |
||||
"11.3" = "0kbibb6pgz8j5iq6284axcnmycaha9bw8qlmdp6yfwmnahq1v0yz"; |
||||
"11.4" = "082dkk5y34wyvjgj2p5j1d00rk8xaxb9z0mhvz16bd469r1bw2qk"; |
||||
"11.5" = "sha256-AKRZbke0K59lakhTi8dX2cR2aBuWPZkiQxyKaZTvHrI="; |
||||
"11.6" = "sha256-AsLNmAplfuQbXg9zt09tXAuFJ524EtTYsQuUlV1tPkE="; |
||||
}.${prev.cudaVersion}; |
||||
|
||||
in { |
||||
cuda-samples = final.callPackage ./generic.nix { |
||||
inherit sha256; |
||||
}; |
||||
} |
@ -0,0 +1,25 @@ |
||||
{ lib |
||||
, rustPlatform |
||||
, fetchFromGitLab |
||||
}: |
||||
|
||||
rustPlatform.buildRustPackage rec { |
||||
pname = "swaysome"; |
||||
version = "1.1.2"; |
||||
|
||||
src = fetchFromGitLab { |
||||
owner = "hyask"; |
||||
repo = pname; |
||||
rev = version; |
||||
sha256 = "sha256-eX2Pzn5It4yf94ZWH/7yAJjwpayVYvpvbrvk7qvbimg="; |
||||
}; |
||||
|
||||
cargoSha256 = "sha256-WXjmXwqeWnQVyFs51t81kHHMMn9HQQjBRw1g1cU+6/M="; |
||||
|
||||
meta = with lib; { |
||||
description = "Helper to make sway behave more like awesomewm"; |
||||
homepage = "https://gitlab.com/hyask/swaysome"; |
||||
license = licenses.mit; |
||||
maintainers = with maintainers; [ esclear ]; |
||||
}; |
||||
} |
@ -0,0 +1,72 @@ |
||||
{ lib |
||||
, pkgs |
||||
, cudaVersion |
||||
}: |
||||
|
||||
with lib; |
||||
|
||||
let |
||||
|
||||
scope = makeScope pkgs.newScope (final: { |
||||
# Here we put package set configuration and utility functions. |
||||
inherit cudaVersion; |
||||
cudaMajorVersion = versions.major final.cudaVersion; |
||||
cudaMajorMinorVersion = lib.versions.majorMinor final.cudaVersion; |
||||
inherit lib pkgs; |
||||
|
||||
addBuildInputs = drv: buildInputs: drv.overrideAttrs (oldAttrs: { |
||||
buildInputs = (oldAttrs.buildInputs or []) ++ buildInputs; |
||||
}); |
||||
}); |
||||
|
||||
cutensorExtension = final: prev: let |
||||
### CuTensor |
||||
|
||||
buildCuTensorPackage = final.callPackage ../development/libraries/science/math/cutensor/generic.nix; |
||||
|
||||
cuTensorVersions = { |
||||
"1.2.2.5" = { |
||||
hash = "sha256-lU7iK4DWuC/U3s1Ct/rq2Gr3w4F2U7RYYgpmF05bibY="; |
||||
}; |
||||
"1.3.1.3" = { |
||||
hash = "sha256-mNlVnabB2IC3HnYY0mb06RLqQzDxN9ePGVeBy3hkBC8="; |
||||
}; |
||||
}; |
||||
|
||||
inherit (final) cudaMajorMinorVersion cudaMajorVersion; |
||||
|
||||
cutensor = buildCuTensorPackage rec { |
||||
version = if cudaMajorMinorVersion == "10.1" then "1.2.2.5" else "1.3.1.3"; |
||||
inherit (cuTensorVersions.${version}) hash; |
||||
# This can go into generic.nix |
||||
libPath = "lib/${if cudaMajorVersion == "10" then cudaMajorMinorVersion else cudaMajorVersion}"; |
||||
}; |
||||
in { inherit cutensor; }; |
||||
|
||||
extraPackagesExtension = final: prev: { |
||||
|
||||
nccl = final.callPackage ../development/libraries/science/math/nccl { }; |
||||
|
||||
autoAddOpenGLRunpathHook = final.callPackage ( { makeSetupHook, addOpenGLRunpath }: |
||||
makeSetupHook { |
||||
name = "auto-add-opengl-runpath-hook"; |
||||
deps = [ |
||||
addOpenGLRunpath |
||||
]; |
||||
} ../development/compilers/cudatoolkit/auto-add-opengl-runpath-hook.sh |
||||
) {}; |
||||
|
||||
}; |
||||
|
||||
composedExtension = composeManyExtensions [ |
||||
extraPackagesExtension |
||||
(import ../development/compilers/cudatoolkit/extension.nix) |
||||
(import ../development/compilers/cudatoolkit/redist/extension.nix) |
||||
(import ../development/compilers/cudatoolkit/redist/overrides.nix) |
||||
(import ../development/libraries/science/math/cudnn/extension.nix) |
||||
(import ../test/cuda/cuda-samples/extension.nix) |
||||
(import ../test/cuda/cuda-library-samples/extension.nix) |
||||
cutensorExtension |
||||
]; |
||||
|
||||
in (scope.overrideScope' composedExtension) |
@ -0,0 +1,55 @@ |
||||
/* |
||||
Test CUDA packages. |
||||
|
||||
This release file will not be tested on hydra.nixos.org |
||||
because it requires unfree software. |
||||
|
||||
Test for example like this: |
||||
|
||||
$ hydra-eval-jobs pkgs/top-level/release-cuda.nix --option restrict-eval false -I foo=. --arg nixpkgs '{ outPath = ./.; revCount = 0; shortRev = "aabbcc"; }' |
||||
|
||||
*/ |
||||
|
||||
{ # The platforms for which we build Nixpkgs. |
||||
supportedSystems ? [ |
||||
"x86_64-linux" |
||||
] |
||||
, # Attributes passed to nixpkgs. |
||||
nixpkgsArgs ? { config = { allowUnfree = true; inHydra = true; }; } |
||||
}: |
||||
|
||||
with import ./release-lib.nix {inherit supportedSystems nixpkgsArgs; }; |
||||
with lib; |
||||
|
||||
let |
||||
# Package sets to evaluate |
||||
packageSets = [ |
||||
"cudaPackages_10_0" |
||||
"cudaPackages_10_1" |
||||
"cudaPackages_10_2" |
||||
"cudaPackages_10" |
||||
"cudaPackages_11_0" |
||||
"cudaPackages_11_1" |
||||
"cudaPackages_11_2" |
||||
"cudaPackages_11_3" |
||||
"cudaPackages_11_4" |
||||
"cudaPackages_11_5" |
||||
"cudaPackages_11_6" |
||||
"cudaPackages_11" |
||||
"cudaPackages" |
||||
]; |
||||
|
||||
evalPackageSet = pset: mapTestOn { ${pset} = packagePlatforms pkgs.${pset}; }; |
||||
|
||||
jobs = (mapTestOn ({ |
||||
# Packages to evaluate |
||||
python3.pkgs.caffeWithCuda = linux; |
||||
python3.pkgs.jaxlibWithCuda = linux; |
||||
python3.pkgs.libgpuarray = linux; |
||||
python3.pkgs.tensorflowWithCuda = linux; |
||||
python3.pkgs.pyrealsense2WithCuda = linux; |
||||
python3.pkgs.pytorchWithCuda = linux; |
||||
python3.pkgs.jaxlib = linux; |
||||
}) // (genAttrs packageSets evalPackageSet)); |
||||
|
||||
in jobs |
Loading…
Reference in new issue