1{ lib
2, fetchFromGitHub
3, bazel_0_26
4, buildBazelPackage
5, buildPythonPackage
6, git
7, python
8, six
9, absl-py
10, semantic-version
11, contextlib2
12, wrapt
13, tensorflow
14, tensorflow-probability
15, tensorflow-estimator
16}:
17
18let
19 version = "1.33";
20
21 # first build all binaries and generate setup.py using bazel
22 bazel-build = buildBazelPackage {
23 bazel = bazel_0_26;
24
25 name = "dm-sonnet-bazel-${version}";
26
27 src = fetchFromGitHub {
28 owner = "deepmind";
29 repo = "sonnet";
30 rev = "v${version}";
31 sha256 = "1nqsja1s8jrkq6v1whgh7smk17313mjr9vs3k5c1m8px4yblzhqc";
32 };
33
34 nativeBuildInputs = [
35 git # needed to fetch the bazel deps (protobuf in particular)
36 ];
37
38 # see https://github.com/deepmind/sonnet/blob/master/docs/INSTALL.md
39 bazelTarget = ":install";
40
41 fetchAttrs = {
42 sha256 = "09dzxs2v5wpiaxrz7qj257q1fbx0gxwbk0jyx58n81m5kys7yj9k";
43 };
44
45 buildAttrs = {
46 preBuild = ''
47 patchShebangs .
48 '';
49
50 installPhase = ''
51 # do not generate a wheel, instead just copy the generated files to $out to be installed by buildPythonPackage
52 sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/install
53
54 # the target directory "dist" does not actually matter since we're not generating a wheel
55 bazel-bin/install dist
56 '';
57 };
58 };
59
60# now use pip to install the package prepared by bazel
61in buildPythonPackage {
62 pname = "dm-sonnet";
63 inherit version;
64
65 src = bazel-build;
66
67 propagatedBuildInputs = [
68 six
69 absl-py
70 semantic-version
71 contextlib2
72 wrapt
73 tensorflow
74 tensorflow-probability
75 tensorflow-estimator
76 ];
77
78 # not sure how to properly run the real test suite -- through bazel?
79 checkPhase = ''
80 ${python.interpreter} -c "import sonnet"
81 '';
82
83 meta = with lib; {
84 description = "TensorFlow-based neural network library";
85 homepage = "https://sonnet.dev";
86 license = licenses.asl20;
87 maintainers = with maintainers; [ timokau ];
88 platforms = platforms.linux;
89 };
90}