waichee · January 13, 2019 05:45 · alanmarazzi · Oct 2, 2017
diff --git a/build_ts_serving_source.sh b/build_ts_serving_source.sh

 mkdir -p /work/

 # Clone the source from Github
 cd /work/ && git clone — recurse-submodules https://github.com/tensorflow/serving

 # Pin the version of Tensorflow Serving and its submodule
 TENSOR_SERVING_COMMIT_HASH=85db9d3
 TENSORFLOW_COMMIT_HASH=dbe5e17
 cd /work/serving && git checkout $TENSOR_SERVING_COMMIT_HASH
 cd /work/serving/tensorflow && git checkout $TENSORFLOW_COMMIT_HASH
 cd /work/serving/tensorflow && ./configure

 #  Tensorflow Serving uses Bazel as the build tool. The Docker image already have Bazel installed in it. 
 # Run the following command to build the source with Bazel

 cd /work/serving && bazel build -c opt //tensorflow_serving/model_servers:tensorflow_model_server --jobs 10 --curses no --discard_analysis_cache
 # The following bazel option flags was added:
 # -c (compilation_mode): the compilation mode flag affects the the C++ generation. ‘opt’ compilation mode is selected to enable optimization and disable the assert calls.
 # — discard_analysis_cache: will discard the analysis cache immediately after the analysis phase completes. This reduces memory usage by ~10%, but makes further incremental builds slower. 
 # — jobs: The default number of jobs spawned by bazel is 200. Depending on the system configuration of your host, you might like to update this parameter. We tune ours to 10.

	mkdir -p /work/

	# Clone the source from Github
	cd /work/ && git clone — recurse-submodules https://github.com/tensorflow/serving

	# Pin the version of Tensorflow Serving and its submodule
	TENSOR_SERVING_COMMIT_HASH=85db9d3
	TENSORFLOW_COMMIT_HASH=dbe5e17
	cd /work/serving && git checkout $TENSOR_SERVING_COMMIT_HASH
	cd /work/serving/tensorflow && git checkout $TENSORFLOW_COMMIT_HASH
	cd /work/serving/tensorflow && ./configure

	# Tensorflow Serving uses Bazel as the build tool. The Docker image already have Bazel installed in it.
	# Run the following command to build the source with Bazel

	cd /work/serving && bazel build -c opt //tensorflow_serving/model_servers:tensorflow_model_server --jobs 10 --curses no --discard_analysis_cache
	# The following bazel option flags was added:
	# -c (compilation_mode): the compilation mode flag affects the the C++ generation. ‘opt’ compilation mode is selected to enable optimization and disable the assert calls.
	# — discard_analysis_cache: will discard the analysis cache immediately after the analysis phase completes. This reduces memory usage by ~10%, but makes further incremental builds slower.
	# — jobs: The default number of jobs spawned by bazel is 200. Depending on the system configuration of your host, you might like to update this parameter. We tune ours to 10.