1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
|
{ lib
, buildPythonPackage
, fetchFromGitHub
, fetchpatch
, jax
, jaxlib
, keras
, numpy
, parameterized
, pillow
, pytestCheckHook
, pythonOlder
, scipy
, setuptools
, tensorboard
, tensorflow
}:
buildPythonPackage rec {
pname = "objax";
version = "1.8.0";
pyproject = true;
disabled = pythonOlder "3.9";
src = fetchFromGitHub {
owner = "google";
repo = "objax";
rev = "refs/tags/v${version}";
hash = "sha256-WD+pmR8cEay4iziRXqF3sHUzCMBjmLJ3wZ3iYOD+hzk=";
};
nativeBuildInputs = [
setuptools
];
# Avoid propagating the dependency on `jaxlib`, see
# https://github.com/NixOS/nixpkgs/issues/156767
buildInputs = [
jaxlib
];
propagatedBuildInputs = [
jax
numpy
parameterized
pillow
scipy
tensorboard
];
pythonImportsCheck = [
"objax"
];
# This is necessay to ignore the presence of two protobufs version (tensorflow is bringing an
# older version).
catchConflicts = false;
nativeCheckInputs = [
keras
pytestCheckHook
tensorflow
];
pytestFlagsArray = [
"tests/*.py"
];
disabledTests = [
# Test requires internet access for prefetching some weights
"test_pretrained_keras_weight_0_ResNet50V2"
# ModuleNotFoundError: No module named 'tree'
"TestResNetV2Pretrained"
];
meta = with lib; {
description = "Machine learning framework that provides an Object Oriented layer for JAX";
homepage = "https://github.com/google/objax";
changelog = "https://github.com/google/objax/releases/tag/v${version}";
license = licenses.asl20;
maintainers = with maintainers; [ ndl ];
};
}
|