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{ stdenv, lib, fetchurl, bash, cmake
, opencv, gtest, openblas, liblapack, perl
, cudaSupport ? false, cudatoolkit, nvidia_x11
, cudnnSupport ? false, cudnn
}:
assert cudnnSupport -> cudaSupport;
stdenv.mkDerivation rec {
name = "mxnet-${version}";
version = "1.2.1";
# Fetching from git does not work at the time (1.2.1) due to an
# incorrect hash in one of the submodules. The provided tarballs
# contain all necessary sources.
src = fetchurl {
url = "https://github.com/apache/incubator-mxnet/releases/download/${version}/apache-mxnet-src-${version}-incubating.tar.gz";
sha256 = "053zbdgs4j8l79ipdz461zc7wyfbfcflmi5bw7lj2q08zm1glnb2";
};
nativeBuildInputs = [ cmake perl ];
buildInputs = [ opencv gtest openblas liblapack ]
++ lib.optionals cudaSupport [ cudatoolkit nvidia_x11 ]
++ lib.optional cudnnSupport cudnn;
cmakeFlags =
(if cudaSupport then [
"-DCUDA_ARCH_NAME=All"
"-DCUDA_HOST_COMPILER=${cudatoolkit.cc}/bin/cc"
] else [ "-DUSE_CUDA=OFF" ])
++ lib.optional (!cudnnSupport) "-DUSE_CUDNN=OFF";
postPatch = ''
substituteInPlace 3rdparty/mkldnn/tests/CMakeLists.txt \
--replace "/bin/bash" "${bash}/bin/bash"
# Build against the system version of OpenMP.
# https://github.com/apache/incubator-mxnet/pull/12160
rm -rf 3rdparty/openmp
'';
postInstall = ''
rm "$out"/lib/*.a
'';
enableParallelBuilding = true;
meta = with stdenv.lib; {
description = "Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler";
homepage = https://mxnet.incubator.apache.org/;
maintainers = with maintainers; [ abbradar ];
license = licenses.asl20;
platforms = platforms.linux;
};
}
|