Interpretation of tensorflow serving catalogue
Tf_serving-WORKSPACE
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-tensorflow-serving/----BUILD
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| |-workspace.bzl |
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| |-example/-BUILD |
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| |-imagenet_lsvrc_2015_synsets.txt |
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| |-imagenet_metadata.txt |
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| |-inception_client.cc |
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| |-inception_client.py |
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| |-inception_k8s.yaml |
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| |-inception_saved_model.py |
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| |-mnist_client.py |
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| |-mnist_iput_data.py |
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| |-mnist_saved_model.py |
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-tensorflow/-BUILD
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| |-WORKSPACE |
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| |-tensorflow/-BUILD |
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| |-workspace.bzl |
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-tf_models/----WORKSPACE
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-official/
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-tutorials/
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-research/-inception/-WORKSPACE
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-inception/-BUILD
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-inception_train.py
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-inception_model.py
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-inception_eval.py
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-inception_distributed_train.py
Interpretation:
The project folder name is "tf_serving" and the WORKSPACE file is placed in the root directory of the "tf_serving" project folder
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Tf_serving/WORKSPACE interpretation:
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# declare the workspace name, consistent with the project name workspace (name = "tf_serving") # declare the name and path local_repository of the local warehouse 'tensorflow' (name = "org_tensorflow", path = "tensorflow",) # declare io_bazel_rules_closurehttp_archive (…) # add a new Tensorflow Serving dependency to workspace.bzlload ("/ / tensorflow_serving:workspace.bzl", "tf_serving_workspace") tf_serving_workspace () # specify the bazel minimum required version load ("@ org_tensorflow//tensorflow::workspace.bzl", "check_version") check_version ("0.5.4")
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Tf_serving/tensorflow_serving/workspace.bzl interpretation:
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# tensorFlow Serving external dependencies are loaded into the WORKSPACE file load ('@ org_tensorflow//tensorflow::workspace.bzl', 'tf_workspace') # here are external dependencies for all Tensorflow Serving. # workspace_dir is the absolute path of Tensorflow Serving repo, if it is a submodule# connection The path form should be'_ 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 depends on native.bind (name = "libssl") Actual = "@ boringssl//:ssl",) native.bind (name = "zlib", actual = "@ zlib_archive//:zlib")
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Tf_serving/tensorflow_serving/BUILD interpretation:
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# Tensorflow serving describes package (default_visibility= ["/ tensorflow_serving:internal"],) licenses (["notice"]) exports_files (["LICENSE"]) # Open Source tag package_group (name = "internal", package = ["/ / tensorflow_serving/...",],) filegroup (name = "all_files", srcs = glob (["* * /"], exclude = ["* * / METADATA", "* * / OWNERS", "g3doc/sitemap.md",],),)
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Tf_serving/tensorflow/tensorflow/workspace.bzl interpretation:
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# Tensorflow externally dependent load (...) that can be loaded in a WORKSPACE file Def _ is_windows ():... Def _ get_env_var ():... # parsing the bazel version string def _ parse_bazel_version (): from 'native.bazel_version' # check that you are using the specified version of bazeldef check_version ():... # support Tensorflow as the temporary workspace of submodule def _ temp_workaround_http_archive_impl ():... # if you exit with non-zero code, execute the command that specifies the parameter and call 'fail'def _ execute_and_check_ret_code ():... # apply the patch file def _ apply_patch (): … in the root directory of the repository # download the repository, and apply the patch def _ patched_http_archive_impl (): … in the root node # if the Tensorflow connection is submodule,path_prefix and is no longer used # tf_repo_name is considering def tf_workspace (): …
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Tf_serving/tensorflow/tensorflow/BUILD interpretation:
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Package (default_visibility = [": internal"]) licenses (["notice"]) exports_files (["LICENSE", "ACKNOWLEDGMENTS", # leakr file for / / 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") ) # various config settingconfig_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 (.)
