如何在Ubuntu - 20.04中从源代码构建Tensorflow服务？

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install -y build-essential curl git python3-dev python3-pip

# 添加 Bazel 的 apt 仓库
sudo apt install apt-transport-https curl gnupg -y
curl -fsSL https://bazel.build/bazel-release.pub.gpg | gpg --dearmor >bazel-archive-keyring.gpg
sudo mv bazel-archive-keyring.gpg /usr/share/keyrings

# 添加 Bazel 的 apt 源
echo "deb [signed-by=/usr/share/keyrings/bazel-archive-keyring.gpg] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list

# 更新 apt 并安装 Bazel
sudo apt update && sudo apt install bazel-5.0.0

git clone https://github.com/tensorflow/serving.git
cd serving

pip3 install -r tensorflow_serving/tools/pip_package/requirements.txt

bazel build -c opt tensorflow_serving/...

bazel build -c opt tensorflow_serving/tools/pip_package:build_pip_package

./bazel-bin/tensorflow_serving/tools/pip_package/build_pip_package /tmp/tensorflow_serving_pkg

pip3 install /tmp/tensorflow_serving_pkg/tensorflow_serving_api-*.whl

tensorflow_model_server --version

tensorflow_model_server --rest_api_port=8501 --model_name=my_model --model_base_path=/path/to/your/model