75f57351e3
python310Packages.cupy: 11.4.0 -> 11.5.0
83 lines
1.8 KiB
Nix
83 lines
1.8 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchPypi
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, cython
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, fastrlock
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, numpy
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, wheel
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, pytestCheckHook
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, mock
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, setuptools
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, cudaPackages
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, addOpenGLRunpath
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, pythonOlder
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}:
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let
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inherit (cudaPackages) cudatoolkit cudnn cutensor nccl;
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in buildPythonPackage rec {
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pname = "cupy";
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version = "11.5.0";
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disabled = pythonOlder "3.7";
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src = fetchPypi {
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inherit pname version;
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hash = "sha256-S8hWW97SLMibIQ/Z+0il1TFvMHAeErsjhSpgMU4fn24=";
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};
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# See https://docs.cupy.dev/en/v10.2.0/reference/environment.html. Seting both
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# CUPY_NUM_BUILD_JOBS and CUPY_NUM_NVCC_THREADS to NIX_BUILD_CORES results in
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# a small amount of thrashing but it turns out there are a large number of
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# very short builds and a few extremely long ones, so setting both ends up
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# working nicely in practice.
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preConfigure = ''
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export CUDA_PATH=${cudatoolkit}
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export CUPY_NUM_BUILD_JOBS="$NIX_BUILD_CORES"
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export CUPY_NUM_NVCC_THREADS="$NIX_BUILD_CORES"
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'';
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nativeBuildInputs = [
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addOpenGLRunpath
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cython
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];
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LDFLAGS = "-L${cudatoolkit}/lib/stubs";
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propagatedBuildInputs = [
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cudatoolkit
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cudnn
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cutensor
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nccl
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fastrlock
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numpy
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setuptools
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wheel
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];
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nativeCheckInputs = [
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pytestCheckHook
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mock
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];
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# Won't work with the GPU, whose drivers won't be accessible from the build
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# sandbox
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doCheck = false;
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postFixup = ''
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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addOpenGLRunpath "$lib"
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done
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'';
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enableParallelBuilding = true;
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meta = with lib; {
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description = "A NumPy-compatible matrix library accelerated by CUDA";
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homepage = "https://cupy.chainer.org/";
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changelog = "https://github.com/cupy/cupy/releases/tag/v${version}";
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license = licenses.mit;
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platforms = [ "x86_64-linux" ];
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maintainers = with maintainers; [ hyphon81 ];
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};
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}
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