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6 changes: 3 additions & 3 deletions docs/README.md
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Expand Up @@ -4,12 +4,12 @@

* Intel-Optimized TensorFlow (*coming soon*)
* Intel-Optimized TensorFlow Serving:
* [Installation Guide](general/tensorflow_serving/InstallationGuide.md)
* [General Best Practices](general/tensorflow_serving/GeneralBestPractices.md)
* [Installation Guide](/docs/general/tensorflow_serving/InstallationGuide.md)
* [General Best Practices](/docs/general/tensorflow_serving/GeneralBestPractices.md)
## Tutorials by Use Case

* Intel-Optimized TensorFlow (*coming soon*)
* Intel-Optimized TensorFlow Serving:
* [Image Recognition](image_recognition/tensorflow_serving/Tutorial.md) (ResNet50 and InceptionV3)
* [Image Recognition](/docs/image_recognition/tensorflow_serving/Tutorial.md) (ResNet50 and InceptionV3)
* Object Detection (*coming soon*)

2 changes: 1 addition & 1 deletion docs/general/tensorflow_serving/GeneralBestPractices.md
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Expand Up @@ -86,5 +86,5 @@ Figure 1. NCHW format
- ***TENSORFLOW_SESSION_PARALLELISM*** = *num_physical_cores*/4
3. Use NCHW data format for images
4. See one of the hands-on tutorials for an advanced walkthrough of your use case:
* [Image Recognition](https://github.com/NervanaSystems/intel-models/blob/master/docs/image_recognition/tensorflow_serving/Tutorial.md) (ResNet50 and InceptionV3)
* [Image Recognition](/docs/image_recognition/tensorflow_serving/Tutorial.md) (ResNet50 and InceptionV3)
* Object Detection (*coming soon*)
12 changes: 6 additions & 6 deletions docs/image_recognition/tensorflow_serving/Tutorial.md
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Expand Up @@ -11,12 +11,12 @@ It also provides sample code that you can use to get your optimized TensorFlow m
## Prerequisites

This tutorial assumes you have already:
* [Installed TensorFlow Serving](https://github.com/NervanaSystems/intel-models/blob/master/docs/general/tensorflow_serving/InstallationGuide.md)
* Read and understood the [General Best Practices](https://github.com/NervanaSystems/intel-models/blob/master/docs/general/tensorflow_serving/GeneralBestPractices.md),
* [Installed TensorFlow Serving](/docs/general/tensorflow_serving/InstallationGuide.md)
* Read and understood the [General Best Practices](/docs/general/tensorflow_serving/GeneralBestPractices.md),
especially these sections:
* **Performance Metrics**
* **TensorFlow Serving Configuration Settings**
* Ran an example end-to-end using a GRPC client, such as the one in the [Installation Guide](https://github.com/NervanaSystems/intel-models/blob/master/docs/general/tensorflow_serving/InstallationGuide.md)
* Ran an example end-to-end using a GRPC client, such as the one in the [Installation Guide](/docs/general/tensorflow_serving/InstallationGuide.md#option-2-using-grpc-this-is-the-fastest-method-but-the-client-has-more-dependencies)

## Background

Expand All @@ -31,8 +31,8 @@ Tuning TensorFlow Serving to take full advantage of your hardware for image reco
## Hands-on Tutorial - ResNet50 or InceptionV3

For steps 1 and 2, refer to the Intel Model Zoo FP32 benchmarks:
* [ResNet50 README](https://github.com/NervanaSystems/intel-models/tree/master/benchmarks/image_recognition/tensorflow/resnet50#fp32-inference-instructions)
* [InceptionV3 README](https://github.com/NervanaSystems/intel-models/tree/master/benchmarks/image_recognition/tensorflow/inceptionv3#fp32-inference-instructions)
* [ResNet50 README](/benchmarks/image_recognition/tensorflow/resnet50#fp32-inference-instructions)
* [InceptionV3 README](/benchmarks/image_recognition/tensorflow/inceptionv3#fp32-inference-instructions)

1. **Download the Model**: Download and extract the ResNet50 or InceptionV3 pre-trained model (FP32), using the instructions in one of the READMEs above.

Expand Down Expand Up @@ -81,7 +81,7 @@ For steps 1 and 2, refer to the Intel Model Zoo FP32 benchmarks:
For example, for a machine with `Core(s) per socket: 28` and `Socket(s): 2`, *num_physical_cores* = 28 * 2 = 56.

7. **Start the server**: Now let's start up the TensorFlow model server. To optimize overall performance, use the following recommended settings from the
[General Best Practices](https://github.com/NervanaSystems/intel-models/blob/master/docs/general/tensorflow_serving/GeneralBestPractices.md):
[General Best Practices](/docs/general/tensorflow_serving/GeneralBestPractices.md):
* OMP_NUM_THREADS = *num_physical_cores*
* TENSORFLOW_SESSION_PARALLELISM = *num_physical_cores*/4

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