tf_serving-----WORKSPACE
|
-----tensorflow-serving/----BUILD
| |
| -----workspace.bzl
| |
| -----example/-------BUILD
| |
| --------imagenet_lsvrc_2015_synsets.txt
| |
| --------imagenet_metadata.txt
| |
| --------inception_client.cc
| |
| --------inception_client.py
| |
| --------inception_k8s.yaml
| |
| --------inception_saved_model.py
| |
| --------mnist_client.py
| |
| --------mnist_iput_data.py
| |
| --------mnist_saved_model.py
|
-----------tensorflow/-------BUILD
| |
| --------WORKSPACE
| |
| ----tensorflow/------BUILD
| |
| -------workspace.bzl
|
-----------tf_models/----WORKSPACE
|
-----official/
|
-----tutorials/
|
-----research/-------inception/-------------------WORKSPACE
|
-------------------inception/--------BUILD
|
---------inception_train.py
|
---------inception_model.py
|
---------inception_eval.py
|
---------inception_distributed_train.py
解讀：
項目文件夾名稱爲"tf_serving",WORKSPACE文件放在"tf_serving"項目文件夾的根目錄
*************************************************************************
tf_serving/WORKSPACE解讀：
*************************************************************************
#聲明工作空間名稱，與項目名稱一致
workspace(name = "tf_serving")
#聲明本地倉庫'tensorflow'的名稱及路徑
local_repository(name = "org_tensorflow", path = "tensorflow",)
#聲明io_bazel_rules_closure
http_archive(……)
#把新的Tensorflow Serving依賴加到workspace.bzl
load("//tensorflow_serving:workspace.bzl","tf_serving_workspace")
tf_serving_workspace()
#指定bazel最低要求版本
load("@org_tensorflow//tensorflow::workspace.bzl", "check_version")
check_version("0.5.4")*************************************************************************
tf_serving/tensorflow_serving/workspace.bzl解讀：
*************************************************************************
#tensorFlow Serving外部依賴加載到WORKSPACE文件
load('@org_tensorflow//tensorflow::workspace.bzl', 'tf_workspace')
#此處是所有Tensorflow Serving的外部依賴。
#workspace_dir是Tensorflow Serving repo的絕對路徑，如果是作爲submodule
#連接，路徑形式應該是'__workspace_dir__ + "serving"'
def tf_serving_workspace():
native.new_local_repository(
name = "inception_model",
path = "tf_models/research/inception",
build_file = "tf_models/research/inception/inception/BUILD",
)
tf_workspace(path_prefix = "", tf_repo_name = "org_tensorflow")
#gRPC依賴
native.bind(
name = "libssl",
actual = "@boringssl//:ssl",
)
native.bind(
name = "zlib",
actual = "@zlib_archive//:zlib")*************************************************************************
tf_serving/tensorflow_serving/BUILD解讀：
*************************************************************************
# Tensorflow serving描述 package( default_visibility=["//tensorflow_serving:internal"], ) licenses(["notice"]) exports_files(["LICENSE"]) #開放源代碼標記 package_group( name = "internal", package = [ "//tensorflow_serving/...", ], ) filegroup( name = "all_files", srcs = glob( ["**/*"], exclude = [ "**/METADATA", "**/OWNERS", "g3doc/sitemap.md", ], ), )
*************************************************************************
tf_serving/tensorflow/tensorflow/workspace.bzl解讀：
*************************************************************************
# 可以在WORKSPACE文件中加載的Tensorflow外部依賴 load(……) def _is_windows(): …… def _get_env_var(): …… # 從'native.bazel_version'中解析bazel版本字符串 def _parse_bazel_version(): …… # 檢查正在使用指定版本的bazel def check_version(): …… # 支持將Tensorflow作爲submodule的臨時工作區 def _temp_workaround_http_archive_impl(): …… # 如果非零code退出，則執行指定參數的命令並調用'fail' def _execute_and_check_ret_code(): …… # 在倉庫根目錄應用補丁文件 def _apply_patch(): …… # 下載倉庫，在根節點應用補丁 def _patched_http_archive_impl(): …… # 如果Tensorflow連接爲submodule，path_prefix不再使用 # tf_repo_name正在考慮中 def tf_workspace(): ……
*************************************************************************
tf_serving/tensorflow/tensorflow/BUILD解讀：
*************************************************************************
package(default_visibility = [":internal"])
licenses(["notice"])
exports_files([
"LICENSE",
"ACKNOWLEDGMENTS",
# leakr文件用於//third_party/cloud_tpu
"leakr_badwords.dic",
"leakr_badfiles.dic",
])
load("//tensorflow:tensorflow.bzl", "tf_cc_shared_object")
load("//tensorflow/core:platform/default/build_config.bzl",
"tf_additional_binary_deps",
)
# 各種config setting
config_setting()
package_group()
filegroup()
py_library()
filegroup(
name = "all_opensource_files",
data = [
":all_files",
"//tensorflow/c:all_files",
"//tensorflow/cc:all_files",
……],
visibility = [':__subpackages__'],
)
load("//third_party/mkl:build_defs.bzl",
"if_mkl",
)
filegroup(
name = "intel_binary_blob",
data = if_mkl(
[
"//third_party/mkl:intel_binary_blob",
],
),
)
filegroup(
name = "docs_src",
data = glob(["docs_src/**/*.md"]),
)
tf_cc_shared_object(
……
)