forked from keras-team/keras
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathBUILD
134 lines (122 loc) · 3.87 KB
/
BUILD
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
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
load("@keras_deps//:requirements.bzl", "requirement")
py_library(
name = "expect_absl_installed",
# This is a dummy rule used as a absl dependency in open-source.
# We expect absl to already be installed on the system, e.g. via
# `pip install absl`
visibility = ["//visibility:public"],
deps = [
requirement("absl-py"),
],
)
py_library(
name = "expect_h5py_installed",
# This is a dummy rule used as a h5 dependency in open-source.
# We expect h5py to already be installed on the system, e.g. via
# `pip install h5py'
visibility = ["//visibility:public"],
deps = [
requirement("h5py"),
],
)
py_library(
name = "expect_keras_preprocessing_installed",
# This is a dummy rule used as a keras_preprocessing dependency in open-source.
# We expect keras_preprocessing to already be installed on the system, e.g. via
# `pip install keras_preprocessing`
visibility = ["//visibility:public"],
deps = [
requirement("keras_preprocessing"),
],
)
py_library(
name = "expect_numpy_installed",
# This is a dummy rule used as a numpy dependency in open-source.
# We expect numpy to already be installed on the system, e.g. via
# `pip install numpy`
visibility = ["//visibility:public"],
deps = [
requirement("numpy"),
],
)
py_library(
name = "expect_pandas_installed",
# This is a dummy rule used as a pandas dependency in open-source.
# We expect pandas to already be installed on the system, e.g. via
# `pip install pandas'
visibility = ["//visibility:public"],
deps = [
requirement("pandas"),
],
)
py_library(
name = "expect_pillow_installed",
# This is a dummy rule used as a pillow dependency in open-source.
# We expect pillow to already be installed on the system, e.g. via
# `pip install Pillow'
visibility = ["//visibility:public"],
deps = [
requirement("Pillow"),
],
)
# Note that this dependency is for testing only.
py_library(
name = "expect_portpicker_installed",
# This is a dummy rule used as a pandas dependency in open-source.
# We expect portpicker to already be installed on the system, e.g. via
# `pip install portpicker'
visibility = ["//visibility:public"],
deps = [
requirement("portpicker"),
],
)
py_library(
name = "expect_pydot_installed",
# This is a dummy rule used as a pydot dependency in open-source.
# We expect pydot to already be installed on the system, e.g. via
# `pip install pydot'
visibility = ["//visibility:public"],
deps = [
requirement("pydot"),
],
)
py_library(
name = "expect_scipy_installed",
# This is a dummy rule used as a scipy dependency in open-source.
# We expect scipy to already be installed on the system, e.g. via
# `pip install scipy'
visibility = ["//visibility:public"],
deps = [
requirement("scipy"),
],
)
py_library(
name = "expect_six_installed",
# This is a dummy rule used as a six dependency in open-source.
# We expect six to already be installed on the system, e.g. via
# `pip install six`
visibility = ["//visibility:public"],
deps = [
requirement("six"),
],
)
py_library(
name = "expect_tensorflow_installed",
# This is a dummy rule used as a tensorflow dependency in open-source.
# We expect tensorflow to already be installed on the system, e.g. via
# `pip install tensorflow` or `pip install tensorflow_gpu`
visibility = ["//visibility:public"],
deps = [
requirement("tf-nightly-gpu"),
],
)
py_library(
name = "expect_yaml_installed",
# This is a dummy rule used as a yaml dependency in open-source.
# We expect yaml to already be installed on the system, e.g. via
# `pip install yaml`
visibility = ["//visibility:public"],
deps = [
requirement("pyyaml"),
],
)