# TFServing Build and Install ## Setup **CPU Base Docker Image** | GCC Version | Python Version | IMAGE | | ----------- | -------------- | --------------------------------------------------------- | | 7.5.0 | 3.6.9 | alideeprec/deeprec-base:deeprec-base-cpu-py36-ubuntu18.04 | | 9.4.0 | 3.8.10 | alideeprec/deeprec-base:deeprec-base-cpu-py38-ubuntu20.04 | | 11.2.0 | 3.8.6 | alideeprec/deeprec-base:deeprec-base-cpu-py38-ubuntu22.04 | **GPU Base Docker Image** | GCC Version | Python Version | CUDA VERSION | IMAGE | | ----------- | -------------- | ------------ | --------------------------------------------------------------- | | 7.5.0 | 3.6.9 | CUDA 11.6.1 | alideeprec/deeprec-base:deeprec-base-gpu-py36-cu116-ubuntu18.04 | | 9.4.0 | 3.8.10 | CUDA 11.6.2 | alideeprec/deeprec-base:deeprec-base-gpu-py38-cu116-ubuntu20.04 | | 11.2.0 | 3.8.6 | CUDA 11.7.1 | alideeprec/deeprec-base:deeprec-base-gpu-py38-cu117-ubuntu22.04 | **CPU Dev Docker (with bazel cache)** | GCC Version | Python Version | IMAGE | | ----------- | -------------- | --------------------------------------------------------- | | 7.5.0 | 3.6.9 | alideeprec/deeprec-build:deeprec-dev-cpu-py36-ubuntu18.04 | | 9.4.0 | 3.8.10 | alideeprec/deeprec-build:deeprec-dev-cpu-py38-ubuntu20.04 | **GPU(cuda11.6) Dev Docker (with bazel cache)** | GCC Version | Python Version | CUDA VERSION | IMAGE | | ----------- | -------------- | ------------ | --------------------------------------------------------------- | | 7.5.0 | 3.6.9 | CUDA 11.6.1 | alideeprec/deeprec-build:deeprec-dev-gpu-py36-cu116-ubuntu18.04 | | 9.4.0 | 3.8.10 | CUDA 11.6.2 | alideeprec/deeprec-build:deeprec-dev-gpu-py38-cu116-ubuntu20.04 | ## TFServing Source Code We provide optimized TFServing which could highly improve performance in inference, such as SessionGroup, CUDA multi-stream, etc. Source Code: [https://github.com/DeepRec-AI/serving](https://github.com/DeepRec-AI/serving) Develop Branch: master, Latest Release Branch: deeprec2402 ## TFServing Build **Build Package Builder-CPU** ```bash bazel build -c opt tensorflow_serving/... ``` **Build CPU Package Builder with OneDNN + Eigen Threadpool** ```bash bazel build -c opt --config=mkl_threadpool --define build_with_mkl_dnn_v1_only=true tensorflow_serving/... ``` **Build Package Builder-GPU** ```bash bazel build -c opt --config=cuda tensorflow_serving/... ``` **Build Package** ```bash bazel-bin/tensorflow_serving/tools/pip_package/build_pip_package /tmp/tf_serving_client_whl ``` **Server Bin** Server Bin would generated in following directory: ```bash bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server ```