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Move docs to standard location; fix links
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peytondmurray committed Oct 2, 2024
1 parent f2dbc9d commit 36e085f
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Expand Up @@ -427,7 +427,7 @@ $ git clone --depth=1 https://github.com/tensorflow/serving

We will use Docker to run the ModelServer. If you want to install ModelServer
natively on your system, follow
[setup instructions](../../guide/setup) to install
[setup instructions](../guide/setup.md) to install
instead, and start the ModelServer with `--rest_api_port` option to export
REST API endpoint (this is not needed when using Docker).

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Expand Up @@ -111,5 +111,5 @@ curl http://localhost:8501/v1/models/<model_name>:predict -X POST \
-d '{"inputs": [[1,2], [3,4]]}'
```

[This page](../../api/api_rest/)
[This page](../api/api_rest.md)
contains a more complete API for sending REST requests to the model server.
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8 changes: 4 additions & 4 deletions tensorflow_serving/g3doc/index.md → docs/index.md
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@@ -1,11 +1,11 @@
# Serving Models
# Serving Models

## Introduction

TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. TensorFlow Serving makes it easy to deploy new algorithms and experiments, while keeping the same server architecture and APIs. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data.

Detailed developer documentation on TensorFlow Serving is available:

- [Architecture Overview](../architecture)
- [Server API](../../api/tensorflow_serving)
- [REST Client API](../../api/api_rest)
- [Architecture Overview](./guide/architecture.md)
- [Server API](./api/tensorflow_serving.md)
- [REST Client API](./api/api_rest.md)
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6 changes: 3 additions & 3 deletions mkdocs.yml
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Expand Up @@ -2,8 +2,6 @@ site_name: "Serving"
repo_name: "Serving Models"
repo_url: https://github.com/tensorflow/serving

docs_dir: tensorflow_serving/g3doc

theme:
name: material
palette:
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watch:
- tensorflow_serving
nav:
- Overview:
- index.md

- Guide:
- guide/docker.md
- guide/setup.md
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- Client API (REST): api/api_rest.md
- Client API (gRPC): https://github.com/tensorflow/serving/tree/master/tensorflow_serving/apis
- Server API (C++): api/tensorflow_serving.md

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