f67ff2c2ff
While we are at it, also switch to using CUDA 11, and properly use the cuda toolkit stubs instead of improperly linking a specific version of the Nvidia drivers.
66 lines
1.3 KiB
Nix
66 lines
1.3 KiB
Nix
{ lib, buildPythonPackage
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, fetchPypi, isPy3k, cython
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, fastrlock, numpy, six, wheel, pytestCheckHook, mock, setuptools
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, cudatoolkit, cudnn, cutensor, nccl
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, addOpenGLRunpath
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}:
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buildPythonPackage rec {
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pname = "cupy";
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version = "8.5.0";
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disabled = !isPy3k;
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src = fetchPypi {
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inherit pname version;
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sha256 = "fb3f8d3b3454beb249b9880502a45fe493c5a44efacc4c72914cbe1a5dbdf803";
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};
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preConfigure = ''
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export CUDA_PATH=${cudatoolkit}
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'';
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nativeBuildInputs = [
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addOpenGLRunpath
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cython
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];
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LDFLAGS = "-L${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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six
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setuptools
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wheel
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];
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checkInputs = [
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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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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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