Martin Weinelt
93 lines
2.0 KiB
Nix
93 lines
2.0 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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ninja,
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setuptools,
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torch,
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cudaPackages,
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rocmPackages,
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config,
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cudaSupport ? config.cudaSupport,
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rocmSupport ? config.rocmSupport,
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rocmGpuTargets ? rocmPackages.clr.localGpuTargets or rocmPackages.clr.gpuTargets,
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which,
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}:
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buildPythonPackage rec {
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pname = "causal-conv1d";
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version = "1.6.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "Dao-AILab";
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repo = "causal-conv1d";
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tag = "v${version}";
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hash = "sha256-hFaF/oMdScDpdq+zq8WppWe9GONWppEEx2pIcnaALiI=";
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};
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build-system = [
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ninja
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setuptools
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torch
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];
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nativeBuildInputs = [ which ] ++ lib.optionals rocmSupport [ rocmPackages.clr ];
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buildInputs =
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lib.optionals cudaSupport (
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with cudaPackages;
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[
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cuda_cudart # cuda_runtime.h, -lcudart
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cuda_cccl
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libcusparse # cusparse.h
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libcusolver # cusolverDn.h
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cuda_nvcc
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libcublas
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]
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)
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++ lib.optionals rocmSupport (
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with rocmPackages;
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[
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rocm-core
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rocm-device-libs
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rocm-runtime
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rocm-comgr
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hipblas
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rocblas
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hipcub
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rocprim
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]
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);
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dependencies = [
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torch
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];
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# pytest tests not enabled due to GPU dependency
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pythonImportsCheck = [ "causal_conv1d" ];
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env = {
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CAUSAL_CONV1D_FORCE_BUILD = "TRUE";
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}
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// lib.optionalAttrs cudaSupport { CUDA_HOME = "${lib.getDev cudaPackages.cuda_nvcc}"; }
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// lib.optionalAttrs rocmSupport {
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ROCM_PATH = "${rocmPackages.clr}";
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HIP_ARCHITECTURES = builtins.concatStringsSep "," rocmGpuTargets;
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CPLUS_INCLUDE_PATH = lib.makeSearchPath "include" [
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rocmPackages.hipcub
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rocmPackages.rocprim
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];
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};
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meta = {
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description = "Causal depthwise conv1d in CUDA with a PyTorch interface";
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homepage = "https://github.com/Dao-AILab/causal-conv1d";
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license = lib.licenses.bsd3;
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# The package requires either CUDA or ROCm.
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# It doesn't work without either, nor with both.
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broken = cudaSupport == rocmSupport;
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};
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}
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