MLECO-1988: Add links to Ethos-U landing pages
Change-Id: Id6788b3fdc8ffae9079c99e95c459c5aa4abda7a
Signed-off-by: George Gekov <george.gekov@arm.com>
diff --git a/Readme.md b/Readme.md
index ddfb14b..66bbf66 100644
--- a/Readme.md
+++ b/Readme.md
@@ -45,7 +45,7 @@
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 @@
- 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 @@
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 @@
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 @@
> **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 @@
> **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 @@
- [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)