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{ lib
, fetchFromGitHub
, buildBazelPackage
, buildPythonPackage
, git
, python
, six
, absl-py
, semantic-version
, contextlib2
, wrapt
, tensorflow
, tensorflow-probability
, tensorflow-estimator
}:
let
version = "1.33";
# first build all binaries and generate setup.py using bazel
bazel-build = buildBazelPackage {
name = "dm-sonnet-bazel-${version}";
src = fetchFromGitHub {
owner = "deepmind";
repo = "sonnet";
rev = "v${version}";
sha256 = "1nqsja1s8jrkq6v1whgh7smk17313mjr9vs3k5c1m8px4yblzhqc";
};
nativeBuildInputs = [
git # needed to fetch the bazel deps (protobuf in particular)
];
# see https://github.com/deepmind/sonnet/blob/master/docs/INSTALL.md
bazelTarget = ":install";
fetchAttrs = {
sha256 = "1xwrha692if7rwqc0qalgpx9b8indgdan8ppwlcs2v47wjvgg6h3";
};
bazelFlags = [
# https://github.com/deepmind/sonnet/issues/134
"--incompatible_disable_deprecated_attr_params=false"
];
buildAttrs = {
preBuild = ''
patchShebangs .
'';
installPhase = ''
# do not generate a wheel, instead just copy the generated files to $out to be installed by buildPythonPackage
sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/install
# the target directory "dist" does not actually matter since we're not generating a wheel
bazel-bin/install dist
'';
};
};
# now use pip to install the package prepared by bazel
in buildPythonPackage {
pname = "dm-sonnet";
inherit version;
src = bazel-build;
propagatedBuildInputs = [
six
absl-py
semantic-version
contextlib2
wrapt
tensorflow
tensorflow-probability
tensorflow-estimator
];
# not sure how to properly run the real test suite -- through bazel?
checkPhase = ''
${python.interpreter} -c "import sonnet"
'';
meta = with lib; {
description = "TensorFlow-based neural network library";
homepage = "https://sonnet.dev";
license = licenses.asl20;
maintainers = with maintainers; [ timokau ];
platforms = platforms.linux;
};
}
|