1d63f89caa
There are many different versions of the `cudatoolkit` and related
cuda packages, and it can be tricky to ensure they remain compatible.
- `cudaPackages` is now a package set with `cudatoolkit`, `cudnn`, `cutensor`, `nccl`, as well as `cudatoolkit` split into smaller packages ("redist");
- expressions should now use `cudaPackages` as parameter instead of the individual cuda packages;
- `makeScope` is now used, so it is possible to use `.overrideScope'` to set e.g. a different `cudnn` version;
- `release-cuda.nix` is introduced to easily evaluate cuda packages using hydra.
80 lines
1.9 KiB
Nix
80 lines
1.9 KiB
Nix
{ lib
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, stdenv
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, pythonAtLeast
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, pythonOlder
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, fetchPypi
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, python
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, buildPythonPackage
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, numpy
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, llvmlite
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, setuptools
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, libcxx
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, substituteAll
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# CUDA-only dependencies:
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, addOpenGLRunpath ? null
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, cudaPackages ? {}
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# CUDA flags:
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, cudaSupport ? false
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}:
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let
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inherit (cudaPackages) cudatoolkit;
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in buildPythonPackage rec {
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version = "0.55.1";
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pname = "numba";
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disabled = pythonOlder "3.6" || pythonAtLeast "3.10";
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src = fetchPypi {
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inherit pname version;
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sha256 = "sha256-A+kGmiZm0chPk7ANvXFvuP7d6Lssbvr6LwSEKkZELqM=";
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};
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postPatch = ''
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# numpy
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substituteInPlace setup.py \
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--replace "1.22" "2"
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substituteInPlace numba/__init__.py \
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--replace "(1, 21)" "(2, 0)"
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'';
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NIX_CFLAGS_COMPILE = lib.optionalString stdenv.isDarwin "-I${lib.getDev libcxx}/include/c++/v1";
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propagatedBuildInputs = [ numpy llvmlite setuptools ] ++ lib.optionals cudaSupport [ cudatoolkit cudatoolkit.lib ];
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nativeBuildInputs = lib.optional cudaSupport [ addOpenGLRunpath ];
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patches = lib.optionals cudaSupport [
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(substituteAll {
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src = ./cuda_path.patch;
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cuda_toolkit_path = cudatoolkit;
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cuda_toolkit_lib_path = cudatoolkit.lib;
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})
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];
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postFixup = lib.optionalString cudaSupport ''
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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addOpenGLRunpath "$lib"
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patchelf --set-rpath "${cudatoolkit}/lib:${cudatoolkit.lib}/lib:$(patchelf --print-rpath "$lib")" "$lib"
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done
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'';
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# Copy test script into $out and run the test suite.
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checkPhase = ''
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${python.interpreter} -m numba.runtests
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'';
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# ImportError: cannot import name '_typeconv'
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doCheck = false;
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pythonImportsCheck = [ "numba" ];
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meta = with lib; {
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homepage = "https://numba.pydata.org/";
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license = licenses.bsd2;
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description = "Compiling Python code using LLVM";
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maintainers = with maintainers; [ fridh ];
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};
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}
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