83 lines
2.1 KiB
Nix
83 lines
2.1 KiB
Nix
{
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lib,
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stdenv,
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buildPythonPackage,
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onnxruntime,
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autoPatchelfHook,
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# buildInputs
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oneDNN,
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re2,
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# dependencies
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coloredlogs,
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numpy,
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packaging,
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}:
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# onnxruntime requires an older protobuf.
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# Doing an override in protobuf in the python-packages set
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# can give you a functioning Python package but note not
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# all Python packages will be compatible then.
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#
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# Because protobuf is not always needed we remove it
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# as a runtime dependency from our wheel.
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#
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# We do include here the non-Python protobuf so the shared libs
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# link correctly. If you do also want to include the Python
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# protobuf, you can add it to your Python env, but be aware
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# the version likely mismatches with what is used here.
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buildPythonPackage {
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inherit (onnxruntime) pname version;
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format = "wheel";
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src = onnxruntime.dist;
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unpackPhase = ''
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cp -r $src dist
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chmod +w dist
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'';
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nativeBuildInputs = lib.optionals stdenv.hostPlatform.isLinux [ autoPatchelfHook ];
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# This project requires fairly large dependencies such as sympy which we really don't always need.
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pythonRemoveDeps = [
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"flatbuffers"
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"protobuf"
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"sympy"
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];
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# Libraries are not linked correctly.
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buildInputs = [
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oneDNN
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re2
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onnxruntime.protobuf
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# https://github.com/NixOS/nixpkgs/pull/357656 patches the onnx lib to ${pkgs.onnxruntime}/lib
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# but these files are copied into this package too. If the original non-python onnxruntime
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# package is GC-ed, cuda support in this python package will break.
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# Two options, rebuild onnxruntime twice with the different paths hard-coded, or just hold a runtime
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# dependency between the two. Option 2, because onnxruntime takes forever to build with cuda support.
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onnxruntime
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]
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++ lib.optionals onnxruntime.passthru.cudaSupport (
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with onnxruntime.passthru.cudaPackages;
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[
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libcublas # libcublasLt.so.XX libcublas.so.XX
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libcurand # libcurand.so.XX
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libcufft # libcufft.so.XX
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cudnn # libcudnn.soXX
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cuda_cudart # libcudart.so.XX
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nccl # libnccl.so.XX
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]
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);
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dependencies = [
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coloredlogs
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numpy
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packaging
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];
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meta = onnxruntime.meta;
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}
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