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.github/workflows/cd-docs.yml

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README.md

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@@ -16,7 +16,7 @@ examples of struct2tensor in action and an introduction to the main
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concepts. You can
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[run the notebook in your browser](https://colab.research.google.com/github/google/struct2tensor/blob/master/examples/prensor_playground.ipynb)
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through Google's colab environment, or [download the
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file](https://github.com/google/struct2tensor/tree/master/g3doc/examples/prensor_playground.ipynb) to run it in your own Jupyter
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file](examples/prensor_playground.ipynb) to run it in your own Jupyter
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environment.
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a model with struct2tensor and wants to serve it with TensorFlow Serving, the
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TensorFlow Serving binary needs to link with those custom ops. We have a
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pre-built docker image that contains such a binary. The `Dockerfile` is
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available at [`tools/tf_serving_docker/Dockerfile`](https://github.com/google/struct2tensor/blob/master/struct2tensor/tools/tf_serving_docker/Dockerfile).
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The image is available at
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[`gcr.io/tfx-oss-public/s2t_tf_serving`](gcr.io/tfx-oss-public/s2t_tf_serving).
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available at `tools/tf_serving_docker/Dockerfile`. The image is available at
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`gcr.io/tfx-oss-public/s2t_tf_serving`.
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Please see the `Dockerfile` for details. But in brief, the image exposes port
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8500 as the gRPC endpoint and port 8501 as the REST endpoint. You can set

docs/api_docs/python/expression_impl/expression_impl.md

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docs/api_docs/python/expression_impl/index.md

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docs/api_docs/python/s2t/index.md

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docs/api_docs/python/s2t/s2t.md

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