Fix broken links

Author: smokestacklightnin

tensorflow_serving/g3doc/api/api_rest.md

@@ -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](https://www.tensorflow.org/tfx/serving/setup) to install
+[setup instructions](../../guide/setup) to install
 instead, and start the ModelServer with `--rest_api_port` option to export
 REST API endpoint (this is not needed when using Docker).
 

tensorflow_serving/g3doc/guide/custom_op.md

@@ -111,5 +111,5 @@ curl http://localhost:8501/v1/models/<model_name>:predict -X POST \
 -d '{"inputs": [[1,2], [3,4]]}'
 ```
 
-[This page](https://www.tensorflow.org/tfx/serving/api_rest#top_of_page)
+[This page](../../api/api_rest/)
 contains a more complete API for sending REST requests to the model server.

tensorflow_serving/g3doc/guide/serving.md

@@ -6,7 +6,6 @@ TensorFlow Serving is a flexible, high-performance serving system for machine le
 
 Detailed developer documentation on TensorFlow Serving is available:
 
-- Architecture Overview
+- [Architecture Overview](../architecture)
 - Server API
-- REST Client API
-<!-- TODO: fix the above bullet points with links -->
+- [REST Client API](../../api/api_rest)

tensorflow_serving/g3doc/tutorials/saved_model_warmup.md

@@ -43,10 +43,10 @@ Warmup data can be added in two ways:
     to write the PredictionLog entries into
     `YourSavedModel/assets.extra/tf_serving_warmup_requests`.
 *   By using TFX Infra Validator
-    [option to export a Saved Model with warmup](https://www.tensorflow.org/tfx/guide/infra_validator#producing_a_savedmodel_with_warmup).
+    [option to export a Saved Model with warmup](https://tensorflow.github.io/tfx/guide/infra_validator/#producing-a-savedmodel-with-warmup).
     With this option the TFX Infa Validator will populate
     `YourSavedModel/assets.extra/tf_serving_warmup_requests` based on the
     validation requests provided via
-    [RequestSpec](https://www.tensorflow.org/tfx/guide/infra_validator#requestspec).
+    [RequestSpec](https://tensorflow.github.io/tfx/guide/infra_validator/#requestspec).