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authorKshitij Sisodia <kshitij.sisodia@arm.com>2022-06-01 09:06:21 +0100
committerKshitij Sisodia <kshitij.sisodia@arm.com>2022-06-01 09:06:21 +0100
commit1ec169b7c9604ff70f873b3393d60cc9cd521678 (patch)
tree1bafff5dbdee9ddf64a1487a9857734de51da8dc /docs
parentc37220328952453018d6ba6bae2201197174a146 (diff)
downloadml-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
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@@ -134,6 +134,11 @@ Before proceeding, it is *essential* to ensure that the following prerequisites
*Ethos™-U55* NPU driver, and CMSIS. Instructions for downloading these are listed under:
[preparing build environment](./building.md#preparing-build-environment).
+> **NOTE**: A Docker image built from the `Dockerfile` provided will have all the above packages installed and
+> available for use. The GNU Embedded toolchain is available by default and the environment of the image will
+> have certain helper variables set for running the FVP within a non-interactive terminal. Run `env` to see the
+> list.
+
### Third-party build prerequisites
- The following software is needed by TensorFlow Lite Micro.