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
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
|
# Description:
# Tools for building the TensorFlow pip package.
package(default_visibility = ["//visibility:private"])
load(
"//tensorflow:tensorflow.bzl",
"if_not_windows",
"if_windows",
"transitive_hdrs",
)
load("//third_party/mkl:build_defs.bzl", "if_mkl")
load("//tensorflow:tensorflow.bzl", "if_cuda")
load("@local_config_syslibs//:build_defs.bzl", "if_not_system_lib")
load("//tensorflow/core:platform/default/build_config_root.bzl", "tf_additional_license_deps")
# This returns a list of headers of all public header libraries (e.g.,
# framework, lib), and all of the transitive dependencies of those
# public headers. Not all of the headers returned by the filegroup
# are public (e.g., internal headers that are included by public
# headers), but the internal headers need to be packaged in the
# pip_package for the public headers to be properly included.
#
# Public headers are therefore defined by those that are both:
#
# 1) "publicly visible" as defined by bazel
# 2) Have documentation.
#
# This matches the policy of "public" for our python API.
transitive_hdrs(
name = "included_headers",
deps = [
"//tensorflow/core:core_cpu",
"//tensorflow/core:framework",
"//tensorflow/core:lib",
"//tensorflow/core:protos_all_cc",
"//tensorflow/core:stream_executor",
"//third_party/eigen3",
] + if_cuda([
"@local_config_cuda//cuda:cuda_headers",
]),
)
py_binary(
name = "simple_console",
srcs = ["simple_console.py"],
srcs_version = "PY2AND3",
deps = ["//tensorflow:tensorflow_py"],
)
COMMON_PIP_DEPS = [
":licenses",
"MANIFEST.in",
"README",
"setup.py",
":included_headers",
"//tensorflow:tensorflow_py",
"//tensorflow/contrib/autograph:autograph",
"//tensorflow/contrib/autograph/converters:converters",
"//tensorflow/contrib/autograph/core:core",
"//tensorflow/contrib/autograph/core:test_lib",
"//tensorflow/contrib/autograph/impl:impl",
"//tensorflow/contrib/autograph/lang:lang",
"//tensorflow/contrib/autograph/operators:operators",
"//tensorflow/contrib/autograph/pyct:pyct",
"//tensorflow/contrib/autograph/pyct/testing:testing",
"//tensorflow/contrib/autograph/pyct/static_analysis:static_analysis",
"//tensorflow/contrib/autograph/pyct/common_transformers:common_transformers",
"//tensorflow/contrib/boosted_trees:boosted_trees_pip",
"//tensorflow/contrib/cluster_resolver:cluster_resolver_pip",
"//tensorflow/contrib/constrained_optimization:constrained_optimization_pip",
"//tensorflow/contrib/data/python/kernel_tests/serialization:dataset_serialization_test_base",
"//tensorflow/contrib/data/python/kernel_tests:stats_dataset_test_base",
"//tensorflow/contrib/data/python/ops:contrib_op_loader",
"//tensorflow/contrib/eager/python/examples:examples_pip",
"//tensorflow/contrib/eager/python:evaluator",
"//tensorflow/contrib/gan:gan",
"//tensorflow/contrib/graph_editor:graph_editor_pip",
"//tensorflow/contrib/keras:keras",
"//tensorflow/contrib/labeled_tensor:labeled_tensor_pip",
"//tensorflow/contrib/nn:nn_py",
"//tensorflow/contrib/predictor:predictor_pip",
"//tensorflow/contrib/proto:proto",
"//tensorflow/contrib/receptive_field:receptive_field_pip",
"//tensorflow/contrib/rpc:rpc_pip",
"//tensorflow/contrib/session_bundle:session_bundle_pip",
"//tensorflow/contrib/signal:signal_py",
"//tensorflow/contrib/signal:test_util",
"//tensorflow/contrib/slim:slim",
"//tensorflow/contrib/slim/python/slim/data:data_pip",
"//tensorflow/contrib/slim/python/slim/nets:nets_pip",
"//tensorflow/contrib/specs:specs",
"//tensorflow/contrib/summary:summary_test_util",
"//tensorflow/contrib/tensor_forest:init_py",
"//tensorflow/contrib/tensor_forest/hybrid:hybrid_pip",
"//tensorflow/contrib/timeseries:timeseries_pip",
"//tensorflow/contrib/tpu",
"//tensorflow/examples/tutorials/mnist:package",
"//tensorflow/python:cond_v2",
"//tensorflow/python:distributed_framework_test_lib",
"//tensorflow/python:meta_graph_testdata",
"//tensorflow/python:spectral_ops_test_util",
"//tensorflow/python:util_example_parser_configuration",
"//tensorflow/python/debug:debug_pip",
"//tensorflow/python/eager:eager_pip",
"//tensorflow/python/kernel_tests/testdata:self_adjoint_eig_op_test_files",
"//tensorflow/python/saved_model:saved_model",
"//tensorflow/python/tools:tools_pip",
"//tensorflow/python/tools/api/generator:create_python_api",
"//tensorflow/python:test_ops",
"//tensorflow/tools/dist_test/server:grpc_tensorflow_server",
]
# On Windows, python binary is a zip file of runfiles tree.
# Add everything to its data dependency for generating a runfiles tree
# for building the pip package on Windows.
py_binary(
name = "simple_console_for_windows",
srcs = ["simple_console_for_windows.py"],
data = COMMON_PIP_DEPS,
srcs_version = "PY2AND3",
deps = ["//tensorflow:tensorflow_py"],
)
filegroup(
name = "licenses",
data = [
"//third_party/eigen3:LICENSE",
"//third_party/fft2d:LICENSE",
"//third_party/hadoop:LICENSE.txt",
"@absl_py//absl/flags:LICENSE",
"@arm_neon_2_x86_sse//:LICENSE",
"@astor_archive//:LICENSE",
"@aws//:LICENSE",
"@boringssl//:LICENSE",
"@com_github_googleapis_googleapis//:LICENSE",
"@com_github_googlecloudplatform_google_cloud_cpp//:LICENSE",
"@com_google_absl//:LICENSE",
"@com_googlesource_code_re2//:LICENSE",
"@cub_archive//:LICENSE.TXT",
"@curl//:COPYING",
"@double_conversion//:LICENSE",
"@eigen_archive//:COPYING.MPL2",
"@farmhash_archive//:COPYING",
"@fft2d//:fft/readme.txt",
"@flatbuffers//:LICENSE.txt",
"@gast_archive//:PKG-INFO",
"@gemmlowp//:LICENSE",
"@gif_archive//:COPYING",
"@highwayhash//:LICENSE",
"@jemalloc//:COPYING",
"@jpeg//:LICENSE.md",
"@kafka//:LICENSE",
"@libxsmm_archive//:LICENSE.md",
"@lmdb//:LICENSE",
"@local_config_nccl//:LICENSE",
"@local_config_sycl//sycl:LICENSE.text",
"@nasm//:LICENSE",
"@nsync//:LICENSE",
"@pcre//:LICENCE",
"@png_archive//:LICENSE",
"@protobuf_archive//:LICENSE",
"@six_archive//:LICENSE",
"@snappy//:COPYING",
"@swig//:LICENSE",
"@termcolor_archive//:COPYING.txt",
"@zlib_archive//:zlib.h",
"@org_python_pypi_backports_weakref//:LICENSE",
] + if_mkl([
"//third_party/mkl:LICENSE",
"//third_party/mkl_dnn:LICENSE",
]) + if_not_system_lib(
"grpc",
[
"@grpc//:LICENSE",
"@grpc//third_party/nanopb:LICENSE.txt",
"@grpc//third_party/address_sorting:LICENSE",
],
) + tf_additional_license_deps(),
)
sh_binary(
name = "build_pip_package",
srcs = ["build_pip_package.sh"],
data = select({
"//tensorflow:windows": [":simple_console_for_windows"],
"//tensorflow:windows_msvc": [":simple_console_for_windows"],
"//conditions:default": COMMON_PIP_DEPS + [
":simple_console",
"//tensorflow/contrib/lite/python:interpreter_test_data",
"//tensorflow/contrib/lite/python:tflite_convert",
"//tensorflow/contrib/lite/toco/python:toco_from_protos",
],
}) + if_mkl(["//third_party/mkl:intel_binary_blob"]),
)
# A genrule for generating a marker file for the pip package on Windows
#
# This only works on Windows, because :simple_console_for_windows is a
# python zip file containing everything we need for building the pip package.
# However, on other platforms, due to https://github.com/bazelbuild/bazel/issues/4223,
# when C++ extensions change, this generule doesn't rebuild.
genrule(
name = "win_pip_package_marker",
srcs = if_windows([
":build_pip_package",
":simple_console_for_windows",
]),
outs = ["win_pip_package_marker_file"],
cmd = select({
"//conditions:default": "touch $@",
"//tensorflow:windows": "md5sum $(locations :build_pip_package) $(locations :simple_console_for_windows) > $@",
}),
visibility = ["//visibility:public"],
)
|