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| author | Cisco Cervellera <cisco.cervellera@arm.com> | 2021-08-02 09:32:07 +0100 |
|---|---|---|
| committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2021-08-03 16:10:16 +0100 |
| commit | f085fa5a2859178741f39563b4d9d68ca41d916a (patch) | |
| tree | 62fd8411c63a853be4c32683a3ada0b6affb0399 /docs/quick_start.md | |
| parent | 81c4c9178598e5c26af7373eca67842a8fe4179f (diff) | |
| download | ml-embedded-evaluation-kit-f085fa5a2859178741f39563b4d9d68ca41d916a.tar.gz | |
MLECO-2051: Work with Corstone-300 + Ethos-U65
Change-Id: I64ab930a1de5210f435f91bed7600a700581946f
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://eu-gerrit-2.euhpc.arm.com/c/ml/ecosystem/ml-embedded-evaluation-kit/+/459126
Tested-by: mlecosys <mlecosys@arm.com>
Tested-by: George Gekov <george.gekov@arm.com>
Reviewed-by: George Gekov <george.gekov@arm.com>
Reviewed-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'docs/quick_start.md')
| -rw-r--r-- | docs/quick_start.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/quick_start.md b/docs/quick_start.md index 9d059fe..d1039fe 100644 --- a/docs/quick_start.md +++ b/docs/quick_start.md @@ -3,14 +3,14 @@ This is a quick start guide that shows you how to run the keyword spotting example application. The aim of this quick start guide is to enable you to run an application quickly on the Fixed Virtual Platform (FVP). -This documentation assumes that your Arm® *Ethos™-U55* NPU is configured to use 128 Multiply-Accumulate units, and is +This documentation assumes that you are using an Arm® *Ethos™-U55* NPU, it is configured to use 128 Multiply-Accumulate units, and is sharing SRAM with the Arm® *Cortex®-M55*. To get started quickly, please follow these steps: 1. First, verify that you have installed [the required prerequisites](sections/building.md#Build-prerequisites). -2. Clone the *Ethos-U55* evaluation kit repository: +2. Clone the *Ethos-U* evaluation kit repository: ```commandline git clone "https://review.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit" @@ -28,7 +28,7 @@ To get started quickly, please follow these steps: [Vela](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela) is an open-source Python tool. Vela converts a TensorFlow Lite for Microcontrollers neural network model into an optimized model that can run on an - embedded system that contains an *Ethos-U55* NPU. + embedded system that contains an *Ethos-U* NPU. It is worth noting that to take full advantage of the capabilities of the NPU, the neural network operators must be [supported by Vela](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela/+/HEAD/SUPPORTED_OPS.md). |