IVGCVSW-5939 Fixing broken links in IntegrateDelegateIntoPython.md

* Fixing broken links in IntegrateDelegateIntoPython.md
* Adding TFLite Model Benchmark Tool to BuildGuidenative.md

Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I41b7e1fb1dc7b5a95a5ab2a1ad2207150251e835

2 files changed, 33 insertions, 5 deletions

diff --git a/delegate/BuildGuideNative.md b/delegate/BuildGuideNative.md
index ec1dc4994d..62aa5c0eda 100644
--- a/delegate/BuildGuideNative.md
+++ b/delegate/BuildGuideNative.md
@@ -175,7 +175,6 @@ If you have built for Gpu acceleration as well you might want to change your tes
 ./DelegateUnitTests --test-suite=*CpuAcc*,*GpuAcc*
 ```
 
-
 # Build the Delegate together with Arm NN
 
 In the introduction it was mentioned that there is a way to integrate the delegate build into Arm NN. This is
@@ -208,6 +207,34 @@ make
 ```
 The delegate library can then be found in `build/armnn/delegate`.
 
+# Test the Arm NN delegate using the [TFLite Model Benchmark Tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/benchmark)
+
+The TFLite Model Benchmark Tool has a useful command line interface to test delegates. We can use this to demonstrate the use of the Arm NN delegate and its options.
+
+Some examples of this can be viewed in this [YouTube demonstration](https://www.youtube.com/watch?v=NResQ1kbm-M&t=920s).
+
+## Download the TFLite Model Benchmark Tool
+
+Binary builds of the benchmarking tool for various platforms are available [here](https://www.tensorflow.org/lite/performance/measurement#native_benchmark_binary). In this example I will target an aarch64 Linux environment. I will also download a sample uint8 tflite model from the [Arm ML Model Zoo](https://github.com/ARM-software/ML-zoo).
+
+```bash
+mkdir $BASEDIR/benchmarking
+cd $BASEDIR/benchmarking
+# Get the benchmarking binary.
+wget https://storage.googleapis.com/tensorflow-nightly-public/prod/tensorflow/release/lite/tools/nightly/latest/linux_aarch64_benchmark_model -O benchmark_model
+# Make it executable.
+chmod +x benchmark_model
+# and a sample model from model zoo.
+wget https://github.com/ARM-software/ML-zoo/blob/master/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8/mobilenet_v2_1.0_224_quantized_1_default_1.tflite?raw=true -O mobilenet_v2_1.0_224_quantized_1_default_1.tflite
+```
+
+## Execute the benchmarking tool with the Arm NN delegate
+```bash
+cd $BASEDIR/benchmarking
+LD_LIBRARY_PATH=../armnn/build ./benchmark_model --graph=mobilenet_v2_1.0_224_quantized_1_default_1.tflite --external_delegate_path="../armnn/build/delegate/libarmnnDelegate.so" --external_delegate_options="backends:CpuAcc;logging-severity:info"
+```
+The "external_delegate_options" here are specific to the Arm NN delegate. They are used to specify a target Arm NN backend or to enable/disable various options in Arm NN. A full description can be found in the parameters of function [tflite_plugin_create_delegate](namespacetflite.xhtml).
+
 # Integrate the Arm NN TfLite Delegate into your project
 
 The delegate can be integrated into your c++ project by creating a TfLite Interpreter and 
@@ -228,5 +255,7 @@ std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDele
 // Instruct the Interpreter to use the armnnDelegate
 armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get());
 ```
-For further information on using TfLite Delegates 
-please visit the [tensorflow website](https://www.tensorflow.org/lite/guide)
+
+For further information on using TfLite Delegates please visit the [tensorflow website](https://www.tensorflow.org/lite/guide)
+
+For more details of the kind of options you can pass to the Arm NN delegate please check the parameters of function [tflite_plugin_create_delegate](namespacetflite.xhtml).
diff --git a/delegate/IntegrateDelegateIntoPython.md b/delegate/IntegrateDelegateIntoPython.md
index e8624e8f64..967b9e30e9 100644
--- a/delegate/IntegrateDelegateIntoPython.md
+++ b/delegate/IntegrateDelegateIntoPython.md
@@ -109,8 +109,7 @@ INFO: TfLiteArmnnDelegate: Created TfLite ArmNN delegate.
 Info: Shutdown time: 0.28 ms
 ```
 
-For more details on what kind of options you can pass to the Arm NN delegate please check 
-[armnn_delegate_adaptor.cpp](src/armnn_external_delegate.cpp).
+For more details of the kind of options you can pass to the Arm NN delegate please check the parameters of function [tflite_plugin_create_delegate](namespacetflite.xhtml).
 
 You can also test the functionality of the external delegate adaptor by running some unit tests:
 ```bash