November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Setting up TensorFlow Serving
In your production server, you need to install TensorFlow Serving and its prerequisites. You can visit the official website of TensorFlow Serving at https://tensorflow.github.io/serving/setup. Next, we will use the standard TensorFlow Model Server provided in TensorFlow Serving to serve the model. First, we need to build the tensorflow_model_server with the following command:
bazel build //tensorflow_serving/model_servers:tensorflow_model_server
Copy all the files from /home/ubuntu/models/pet_model in your training server into your production server. In our setup, we choose /home/ubuntu/productions as our folder to store all the production models. The productions folder will have the following structure:
- /home/ubuntu/productions/ ...
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