aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/contrib/kafka/BUILD
blob: 1c3974871c62911c0cb47677eb92d28286837142 (plain)
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
135
package(default_visibility = ["//tensorflow:internal"])

licenses(["notice"])  # Apache 2.0

exports_files(["LICENSE"])

load(
    "//tensorflow:tensorflow.bzl",
    "tf_gen_op_wrapper_py",
    "tf_kernel_library",
    "tf_custom_op_library",
    "tf_custom_op_py_library",
    "tf_gen_op_libs",
    "tf_py_test",
)

py_library(
    name = "kafka",
    srcs = ["__init__.py"],
    srcs_version = "PY2AND3",
    deps = [
        ":dataset_ops",
    ],
)

tf_custom_op_library(
    name = "_dataset_ops.so",
    srcs = ["ops/dataset_ops.cc"],
    deps = [":dataset_kernels"],
)

tf_gen_op_libs(
    op_lib_names = ["dataset_ops"],
)

cc_library(
    name = "dataset_kernels",
    srcs = ["kernels/kafka_dataset_ops.cc"],
    deps = [
        "//tensorflow/core:framework_headers_lib",
        "//third_party/eigen3",
        "@kafka",
        "@protobuf_archive//:protobuf_headers",
    ],
    alwayslink = 1,
)

py_library(
    name = "dataset_ops",
    srcs = [
        "python/ops/kafka_dataset_ops.py",
    ],
    srcs_version = "PY2AND3",
    deps = [
        ":kafka_op_loader",
        "//tensorflow/python:dataset_ops_gen",
        "//tensorflow/python:util",
        "//tensorflow/python/data/ops:dataset_ops",
        "//tensorflow/python/data/util:nest",
    ],
)

tf_gen_op_wrapper_py(
    name = "gen_dataset_ops",
    out = "python/ops/gen_dataset_ops.py",
    deps = ["//tensorflow/contrib/kafka:dataset_ops_op_lib"],
)

tf_kernel_library(
    name = "dataset_ops_kernels",
    deps = [
        ":dataset_kernels",
        "//tensorflow/core:framework",
    ],
    alwayslink = 1,
)

tf_custom_op_py_library(
    name = "kafka_op_loader",
    srcs = ["python/ops/kafka_op_loader.py"],
    dso = ["//tensorflow/contrib/kafka:_dataset_ops.so"],
    kernels = [
        ":dataset_ops_kernels",
        "//tensorflow/contrib/kafka:dataset_ops_op_lib",
    ],
    srcs_version = "PY2AND3",
    deps = [
        ":gen_dataset_ops",
        "//tensorflow/contrib/util:util_py",
        "//tensorflow/python:platform",
    ],
)

# The Kafka server has to be setup before running the test.
# The Kafka server is setup through Docker so the Docker engine
# has to be installed.
#
# Once the Docker engine is ready:
# To setup the Kafka server:
# $ bash tensorflow/contrib/kafka/python/kernel_tests/kafka_test.sh start kafka
#
# After the test is complete:
# To team down the Kafka server:
# $ bash tensorflow/contrib/kafka/python/kernel_tests/kafka_test.sh stop kafka
tf_py_test(
    name = "kafka_test",
    srcs = ["python/kernel_tests/kafka_test.py"],
    additional_deps = [
        ":kafka",
        "//third_party/py/numpy",
        "//tensorflow/python:client_testlib",
        "//tensorflow/python:framework",
        "//tensorflow/python:framework_test_lib",
        "//tensorflow/python:platform_test",
    ],
    tags = [
        "manual",
        "no_windows",
        "notap",
    ],
)

filegroup(
    name = "all_files",
    srcs = glob(
        include = [
            "**/*",
        ],
        exclude = [
            "**/METADATA",
            "**/OWNERS",
        ],
    ),
    visibility = ["//tensorflow:__subpackages__"],
)