8e800cedaf
cudaPackages.cuda_compat: ignore missing libs provided at runtime cudaPackages.gpus: Jetson should never build by default cudaPackages.flags: don't build Jetson capabilities by default cudaPackages: re-introduce filter for pre-existing CUDA redist packages in overrides cudaPackages: only recurseIntoAttrs for the latest of each major version cudaPackages.nvccCompatabilities: use GCC 10 through CUDA 11.5 to avoid a GLIBC incompatability cudaPackages.cutensor: acquire libcublas through cudatoolkit prior to 11.4 cudaPackages.cuda_compat: mark as broken on aarch64-linux if not targeting Jetson cudaPackages.cutensor_1_4: fix build cudaPackages: adjust use of autoPatchelfIgnoreMissingDeps cudaPackages.cuda_nvprof: remove unecessary override to add addOpenGLRunpath cudaPackages: use getExe' to avoid patchelf warning about missing meta.mainProgram cudaPackages: fix evaluation with Nix 2.3 cudaPackages: fix platform detection for Jetson/non-Jetson aarch64-linux python3Packages.tensorrt: mark as broken if required packages are missing Note: evaluating the name of the derivation will fail if tensorrt is not present, which is why we wrap the value in `lib.optionalString`. cudaPackages.flags.getNixSystem: add guard based on jetsonTargets cudaPackages.cudnn: use explicit path to patchelf cudaPackages.tensorrt: use explicit path to patchelf
84 lines
2.2 KiB
Nix
84 lines
2.2 KiB
Nix
# NOTE: Though NCCL tests is called within the cudaPackages package set, we avoid passing in
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# the names of dependencies from that package set directly to avoid evaluation errors
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# in the case redistributable packages are not available.
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{
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config,
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cudaPackages,
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fetchFromGitHub,
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gitUpdater,
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lib,
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mpi,
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mpiSupport ? false,
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which,
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}:
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let
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inherit (cudaPackages)
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backendStdenv
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cuda_cccl
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cuda_cudart
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cuda_nvcc
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cudatoolkit
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cudaVersion
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nccl
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;
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in
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backendStdenv.mkDerivation (
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finalAttrs: {
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pname = "nccl-tests";
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version = "2.13.8";
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src = fetchFromGitHub {
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owner = "NVIDIA";
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repo = finalAttrs.pname;
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rev = "v${finalAttrs.version}";
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hash = "sha256-dxLoflsTHDBnZRTzoXdm30OyKpLlRa73b784YWALBHg=";
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};
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strictDeps = true;
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nativeBuildInputs =
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[which]
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++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit]
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++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [cuda_nvcc];
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buildInputs =
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[nccl]
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++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit]
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++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [
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cuda_nvcc.dev # crt/host_config.h
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cuda_cudart
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]
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++ lib.optionals (lib.versionAtLeast cudaVersion "12.0") [
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cuda_cccl.dev # <nv/target>
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]
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++ lib.optionals mpiSupport [mpi];
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makeFlags =
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["NCCL_HOME=${nccl}"]
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++ lib.optionals (lib.versionOlder cudaVersion "11.4") ["CUDA_HOME=${cudatoolkit}"]
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++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") ["CUDA_HOME=${cuda_nvcc}"]
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++ lib.optionals mpiSupport ["MPI=1"];
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enableParallelBuilding = true;
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installPhase = ''
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mkdir -p $out/bin
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cp -r build/* $out/bin/
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'';
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passthru.updateScript = gitUpdater {
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inherit (finalAttrs) pname version;
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rev-prefix = "v";
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};
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meta = with lib; {
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description = "Tests to check both the performance and the correctness of NVIDIA NCCL operations";
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homepage = "https://github.com/NVIDIA/nccl-tests";
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platforms = platforms.linux;
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license = licenses.bsd3;
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broken = !config.cudaSupport || (mpiSupport && mpi == null);
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maintainers = with maintainers; [jmillerpdt] ++ teams.cuda.members;
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};
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}
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)
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