Reorganize guide and tutorial files and fix links

Author: smokestacklightnin

mkdocs.yml

@@ -108,19 +108,21 @@ watch:
   - tensorflow_serving
 nav:
   - Guide:
-      - serving.md
-      - docker.md
-      - setup.md
-      - serving_basic.md
-      - architecture.md
-      - serving_config.md
-      - serving_advanced.md
-      - serving_kubernetes.md
-      - custom_servable.md
-      - custom_source.md
-      - custom_op.md
-      - signature_defs.md
+      - guide/serving.md
+      - guide/docker.md
+      - guide/setup.md
+      - guide/serving_basic.md
+      - guide/architecture.md
+      - guide/serving_config.md
+      - guide/serving_advanced.md
+      - guide/serving_kubernetes.md
+      - guide/custom_servable.md
+      - guide/custom_source.md
+      - guide/custom_op.md
+      - guide/signature_defs.md
 
   - API:
       - Client API (REST): api/api_rest.md
       - Client API (gRPC): https://github.com/tensorflow/serving/tree/master/tensorflow_serving/apis
+      # - api/tensorflow_serving.md
+        

tensorflow_serving/g3doc/architecture.md renamed to tensorflow_serving/g3doc/guide/architecture.md

@@ -131,7 +131,7 @@ TensorFlow Serving Core treats servables and loaders as opaque objects.
 
 ## Life of a Servable
 
-![tf serving architecture diagram](images/serving_architecture.svg)
+![tf serving architecture diagram](../images/serving_architecture.svg)
 
 Broadly speaking:
 

tensorflow_serving/g3doc/custom_op.md renamed to tensorflow_serving/g3doc/guide/custom_op.md

@@ -22,7 +22,7 @@ curl -d '{"instances": [1.0, 2.0, 5.0]}' \
 # Returns => { "predictions": [2.5, 3.0, 4.5] }
 ```
 
-For additional serving endpoints, see the [Client REST API](api/api_rest.md).
+For additional serving endpoints, see the [Client REST API](../api/api_rest.md).
 
 ## Install Docker
 
@@ -209,7 +209,7 @@ This should return a set of values:
 { "predictions": [2.5, 3.0, 4.5] }
 ```
 
-More information on using the RESTful API can be found [here](api/api_rest.md).
+More information on using the RESTful API can be found [here](../api/api_rest.md).
 
 ## Serving with Docker using your GPU
 
@@ -302,9 +302,9 @@ GPU build of TensorFlow Model Server will result in an error that looks like:
 Cannot assign a device for operation 'a': Operation was explicitly assigned to /device:GPU:0
 ```
 
-More information on using the RESTful API can be found [here](api/api_rest.md).
+More information on using the RESTful API can be found [here](../api/api_rest.md).
 
 ## Developing with Docker
 
 For instructions on how to build and develop Tensorflow Serving, please refer to
-[Developing with Docker guide](building_with_docker.md).
+[Developing with Docker guide](../tutorials/building_with_docker.md).

tensorflow_serving/g3doc/custom_servable.md renamed to tensorflow_serving/g3doc/guide/custom_servable.md

@@ -283,6 +283,6 @@ notable ones. For a complete list, please refer to the
 *   `--file_system_poll_wait_seconds`: The period with which the server polls
     the filesystem for new model versions at each model's respective
     model_base_path
-*   `--enable_model_warmup`: Enables [model warmup](saved_model_warmup.md) using
+*   `--enable_model_warmup`: Enables [model warmup](../tutorials/saved_model_warmup.md) using
     user-provided PredictionLogs in assets.extra/ directory
 *   `--mixed_precision=bfloat16`: Enables BF16 Automatic Mixed Precision