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| author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-06-01 09:06:21 +0100 |
|---|---|---|
| committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-06-01 09:06:21 +0100 |
| commit | 1ec169b7c9604ff70f873b3393d60cc9cd521678 (patch) | |
| tree | 1bafff5dbdee9ddf64a1487a9857734de51da8dc /Readme.md | |
| parent | c37220328952453018d6ba6bae2201197174a146 (diff) | |
| download | ml-embedded-evaluation-kit-1ec169b7c9604ff70f873b3393d60cc9cd521678.tar.gz | |
MLECO-2968 Create a docker image with all requirements
Added a Dockerfile to setup and install requirements for
the ml-embedded-evaluation-kit repository.
Also included minor change (MLCE-859) for NPU components'
source file.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I621fb2991218a451a0e8c33e14032b9c9e36709e
Diffstat (limited to 'Readme.md')
| -rw-r--r-- | Readme.md | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -99,6 +99,7 @@ could be used in all tools/IDEs (for example, To run an ML application on the Cortex-M and Ethos-U NPU, please, follow these steps: 1. Set up your environment by installing [the required prerequisites](./docs/sections/building.md#Build-prerequisites). +> **NOTE**: A Docker image built from the `Dockerfile` provided will have all the required packages installed. 2. Generate an optimized neural network model for Ethos-U with a Vela compiler by following instructions [here](./docs/sections/building.md#Add-custom-model). 3. [Configure the build system](./docs/sections/building.md#Build-process). 4. [Compile the project](./docs/sections/building.md#Building-the-configured-project) with a `make` command. |