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Copy file name to clipboardExpand all lines: tensorflow/lite/micro/kernels/ethos_u/README.md
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Arm(R) Ethos(TM)-U is a new class of machine learning processors, called a
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microNPU, specifically designed to accelerate ML inference in area-constrained
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embedded and IoT devices. This readme briefly describes how to integrate Ethos-U
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related hardware and software into TFLM. See also [Ethos-U ML Evaluation kit examples](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ml-embedded-evaluation-kit).
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related hardware and software into TFLM. See also [Ethos-U ML Evaluation kit examples](https://gitlab.arm.com/artificial-intelligence/ethos-u/ml-embedded-evaluation-kit).
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To enable the Ethos-U software stack, add `CO_PROCESSOR=ethos_u` to the make
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command. Use ETHOSU_ARCH to specify the architecture. See examples below.
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Ethos-U custom op in the tflite file. See an ASCII art example below.
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The Ethos-U custom op is added by a tool called Ethos-U Vela and contains
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information the Ethos-U hardware need to execute the workload. More info in the
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```
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Note that the `ethousu_init()` API of the Ethos-U driver need to be called at
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startup, before calling the TFLM API. More info in the [Ethos-U driver repo](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-core-driver).
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startup, before calling the TFLM API. More info in the [Ethos-U driver repo](https://gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver).
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For even more info regarding Vela and Ethos-U, checkout [Ethos-U landing page](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u/+/refs/heads/master).
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For even more info regarding Vela and Ethos-U, checkout [Ethos-U landing page](https://gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u/-/tree/main).
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# Some examples of compiling a binary and running a network with Ethos-U support.
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In order to run a test with Ethos-U55 enabled, a platform with corresponding
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