MLECO-1988: Add links to Ethos-U landing pages

Change-Id: Id6788b3fdc8ffae9079c99e95c459c5aa4abda7a
Signed-off-by: George Gekov <george.gekov@arm.com>

5 files changed, 12 insertions, 13 deletions

diff --git a/Readme.md b/Readme.md
index ddfb14b..66bbf66 100644
--- a/Readme.md
+++ b/Readme.md
@@ -45,7 +45,7 @@ The Ethos-U NPU software stack is described [here](https://developer.arm.com/doc
 All ML use cases, albeit illustrating a different application, have common code such as initializing the Hardware
 Abstraction Layer (HAL). The application common code can be run on x86 or Arm Cortex-M architecture thanks to the HAL.
 For the ML application-specific part, Google® TensorFlow™ Lite for Microcontrollers inference engine is used to schedule
-the neural networks models executions. TensorFlow Lite for Microcontrollers is integrated with the [Ethos-U55 driver](https://git.mlplatform.org/ml/ethos-u/ethos-u-core-driver.git)
+the neural networks models executions. TensorFlow Lite for Microcontrollers is integrated with the [Ethos-U55 driver](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-core-driver)
 and delegates execution of certain operators to the NPU or, if the neural network model operators are not supported on
 NPU, to the CPU. [CMSIS-NN](https://github.com/ARM-software/CMSIS_5) is used to optimise CPU workload execution
 with int8 data type.
diff --git a/docs/documentation.md b/docs/documentation.md
index 3ccdcbd..bb89c63 100644
--- a/docs/documentation.md
+++ b/docs/documentation.md
@@ -63,6 +63,8 @@ for additional information:
 
 - Arm® ML-Zoo: <https://github.com/ARM-software/ML-zoo/>
 
+- Arm® Ethos-U software: <https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u>
+
 To access Arm documentation online, please visit: <http://developer.arm.com>
 
 ## Repository structure
diff --git a/docs/sections/building.md b/docs/sections/building.md
index dccc712..d2e2546 100644
--- a/docs/sections/building.md
+++ b/docs/sections/building.md
@@ -136,16 +136,16 @@ The build parameters are:
   build. All the valid toolchain files are located in the scripts directory. For example, see:
   [bare-metal-gcc.cmake](../../scripts/cmake/toolchains/bare-metal-gcc.cmake).
 
-- `TENSORFLOW_SRC_PATH`: the path to the root of the TensorFlow directory. The default value points to the TensorFlow
-  submodule in the [ethos-u](https://git.mlplatform.org/ml/ethos-u/ethos-u.git/about/) `dependencies` folder.
+- `TENSORFLOW_SRC_PATH`: the path to the root of the TensorFlow directory. The default value points to the
+  `dependencies/tensorflow` git submodule. Respository is hosted here: [tensorflow](https://github.com/tensorflow/tensorflow)
 
 - `ETHOS_U55_DRIVER_SRC_PATH`: The path to the *Ethos-U55* NPU core driver sources. The default value points to the
-  `core_driver` submodule in the [ethos-u](https://git.mlplatform.org/ml/ethos-u/ethos-u.git/about/) `dependencies`
-  folder.
+  `dependencies/core-driver` git submodule. Repository is hosted here:
+  [ethos-u-core-driver](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-core-driver).
 
 - `CMSIS_SRC_PATH`: The path to the CMSIS sources to be used to build TensorFlow Lite Micro library. This parameter is
-  optional and is only valid for Arm® *Cortex®-M* CPU targeted configurations. The default value points to the `CMSIS`
-  submodule in the [ethos-u](https://git.mlplatform.org/ml/ethos-u/ethos-u.git/about/) `dependencies` folder.
+  optional and is only valid for Arm® *Cortex®-M* CPU targeted configurations. The default value points to the
+  `dependencies/cmsis` git submodule. Respository is hosted here: [CMSIS-5](https://github.com/ARM-software/CMSIS_5.git)
 
 - `ETHOS_U55_ENABLED`: Sets whether the use of *Ethos-U55* NPU is available for the deployment target. By default, this
   is set and therefore application is built with *Ethos-U55* NPU supported.
@@ -229,9 +229,6 @@ repository to link against.
 2. [Ethos-U55 NPU core driver repository](https://review.mlplatform.org/admin/repos/ml/ethos-u/ethos-u-core-driver)
 3. [CMSIS-5](https://github.com/ARM-software/CMSIS_5.git)
 
-These are part of the [ethos-u repository](https://git.mlplatform.org/ml/ethos-u/ethos-u.git/about/) and set as
-submodules of this project.
-
 > **Note:** If you are using non git project sources, run `python3 ./download_dependencies.py` and ignore further git
 > instructions. Proceed to [Fetching resource files](#fetching-resource-files) section.
 >
@@ -647,7 +644,7 @@ After compiling, your custom model has now replaced the default one in the appli
 
 > **Note:** This tool is not available within this project. It is a Python tool available from
 > <https://pypi.org/project/ethos-u-vela/>.\
-The source code is hosted on <https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/>.
+The source code is hosted on <https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela/>.
 
 The Vela compiler is a tool that can optimize a neural network model into a version that can run on an embedded system
 containing an *Ethos-U55* NPU.
diff --git a/docs/sections/troubleshooting.md b/docs/sections/troubleshooting.md
index 0ba6ced..e306d6f 100644
--- a/docs/sections/troubleshooting.md
+++ b/docs/sections/troubleshooting.md
@@ -22,7 +22,7 @@ Also, please check that the cmake parameters used match the input requirements o
 
 > **Note:** The Vela tool is not available within this software project. It is a separate Python tool that is available
 > from: <https://pypi.org/project/ethos-u-vela/>. The source code is hosted on
-> <https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/>.
+> <https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela/>.
 
 ## NPU configuration mismatch error when running inference
 
diff --git a/model_conditioning_examples/Readme.md b/model_conditioning_examples/Readme.md
index ede2c24..bb00b79 100644
--- a/model_conditioning_examples/Readme.md
+++ b/model_conditioning_examples/Readme.md
@@ -170,4 +170,4 @@ compiler for further optimizations before it can be used (see [Optimize model wi
 - [Quantization aware training](https://www.tensorflow.org/model_optimization/guide/quantization/training)
 - [Weight pruning](https://www.tensorflow.org/model_optimization/guide/pruning)
 - [Weight clustering](https://www.tensorflow.org/model_optimization/guide/clustering)
-- [Vela](https://git.mlplatform.org/ml/ethos-u/ethos-u-vela.git/about/)
+- [Vela](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela)