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nixpkgs/pkgs/applications/science/math/mxnet/default.nix
Profpatsch 4a7f99d55d treewide: with stdenv.lib; in meta -> with lib;
Part of: https://github.com/NixOS/nixpkgs/issues/108938

meta = with stdenv.lib;

is a widely used pattern. We want to slowly remove
the `stdenv.lib` indirection and encourage people
to use `lib` directly. Thus let’s start with the meta
field.

This used a rewriting script to mostly automatically
replace all occurances of this pattern, and add the
`lib` argument to the package header if it doesn’t
exist yet.

The script in its current form is available at
https://cs.tvl.fyi/depot@2f807d7f141068d2d60676a89213eaa5353ca6e0/-/blob/users/Profpatsch/nixpkgs-rewriter/default.nix
2021-01-11 10:38:22 +01:00

54 lines
1.7 KiB
Nix

{ config, stdenv, lib, fetchurl, bash, cmake
, opencv3, gtest, blas, perl
, cudaSupport ? config.cudaSupport or false, cudatoolkit, nvidia_x11
, cudnnSupport ? cudaSupport, cudnn
}:
assert cudnnSupport -> cudaSupport;
stdenv.mkDerivation rec {
pname = "mxnet";
version = "1.6.0";
src = fetchurl {
url = "https://github.com/apache/incubator-mxnet/releases/download/${version}/apache-mxnet-src-${version}-incubating.tar.gz";
sha256 = "1vvdb7pfh63kb9fzs6gqp95q550a3ck4cj9mqxlk9wwhkh30dsq1";
};
nativeBuildInputs = [ cmake perl ];
buildInputs = [ opencv3 gtest blas.provider ]
++ lib.optionals cudaSupport [ cudatoolkit nvidia_x11 ]
++ lib.optional cudnnSupport cudnn;
cmakeFlags =
[ "-DUSE_MKL_IF_AVAILABLE=OFF" ]
++ (if cudaSupport then [
"-DUSE_OLDCMAKECUDA=ON" # see https://github.com/apache/incubator-mxnet/issues/10743
"-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
'';
meta = with 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;
};
}