depot/third_party/nixpkgs/pkgs/development/python-modules/tensorflow-probability/default.nix

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{ lib
, stdenv
, fetchFromGitHub
, bazel_6
, buildBazelPackage
, buildPythonPackage
, cctools
, python
, setuptools
, wheel
, absl-py
, tensorflow
, six
, numpy
, dm-tree
, keras
, decorator
, cloudpickle
, gast
, hypothesis
, scipy
, pandas
, mpmath
, matplotlib
, mock
, pytest
}:
let
version = "0.19.0";
pname = "tensorflow_probability";
# first build all binaries and generate setup.py using bazel
bazel-wheel = buildBazelPackage {
name = "${pname}-${version}-py2.py3-none-any.whl";
src = fetchFromGitHub {
owner = "tensorflow";
repo = "probability";
rev = "v" + version;
hash = "sha256-ZkQ20Qt/RF/leVP6Kc38tGgPz+C6lEuHvoL+s97oksE=";
};
nativeBuildInputs = [
# needed to create the output wheel in installPhase
python
setuptools
wheel
absl-py
tensorflow
];
bazel = bazel_6;
bazelTargets = [ ":pip_pkg" ];
LIBTOOL = lib.optionalString stdenv.isDarwin "${cctools}/bin/libtool";
fetchAttrs = {
sha256 = "sha256-tMiZsX5OyVw6VVImn4nWwEFdBw+TKKbE7oACibQC0oA=";
};
buildAttrs = {
preBuild = ''
patchShebangs .
'';
installPhase = ''
# work around timestamp issues
# https://github.com/NixOS/nixpkgs/issues/270#issuecomment-467583872
export SOURCE_DATE_EPOCH=315532800
# First build, then move. Otherwise pip_pkg would create the dir $out
# and then put the wheel in that directory. However we want $out to
# point directly to the wheel file.
./bazel-bin/pip_pkg . --release
mv *.whl "$out"
'';
};
};
in buildPythonPackage {
inherit version pname;
format = "wheel";
src = bazel-wheel;
propagatedBuildInputs = [
tensorflow
six
numpy
decorator
cloudpickle
gast
dm-tree
keras
];
# Listed here:
# https://github.com/tensorflow/probability/blob/f3777158691787d3658b5e80883fe1a933d48989/testing/dependency_install_lib.sh#L83
nativeCheckInputs = [
hypothesis
pytest
scipy
pandas
mpmath
matplotlib
mock
];
# Ideally, we run unit tests with pytest, but in checkPhase, only the Bazel-build wheel is available.
# But it seems not guaranteed that running the tests with pytest will even work, see
# https://github.com/tensorflow/probability/blob/c2a10877feb2c4c06a4dc58281e69c37a11315b9/CONTRIBUTING.md?plain=1#L69
# Ideally, tests would be run using Bazel. For now, lets's do a...
# sanity check
pythonImportsCheck = [ "tensorflow_probability" ];
meta = with lib; {
description = "Library for probabilistic reasoning and statistical analysis";
homepage = "https://www.tensorflow.org/probability/";
license = licenses.asl20;
maintainers = with maintainers; []; # This package is maintainerless.
};
}