manupa-arm commented on a change in pull request #11:
URL: https://github.com/apache/tvm-rfcs/pull/11#discussion_r673836392



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File path: rfcs/0011_Arm_Ethos-U_Integration.md
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+    Feature Name: Arm® Ethos™-U Integration
+    Start Date: 2020 May
+    RFC PR: https://github.com/apache/tvm-rfcs/pull/11
+    GitHub Issue: https://github.com/apache/tvm/issues/8482
+
+# Motivation
+
+Arm® Ethos™-U is a series of NPUs that will enable low-cost and highly 
efficient AI solutions for a wide range of embedded devices. This RFC 
introduces the port of Ethos-U into the uTVM compilation flow. The process of 
compilation relies on the multiple levels of abstraction in TVM and a variety 
of analysis and optimisation passes to produce c output. In the process of 
compilation, we rely on the many levels of TVM's IR (and the passes) to perform 
optimizations to create c-sources that can work with current microTVM 
deployments.
+
+## Scope:
+
+### Ethos™-U55
+
+![](./assets/0011/ethosu_hw.png)
+
+Ethos™-U55 is a NPU that is designed to uplift ML performance by working as an 
offload target for micro-controllers. It can accelerate quantized ML operators 
such as Convolution2D, Depthwise Convolution, Pooling and Elementwise 
Operators.  For convolution-type operators, Ethos-U55 supports hardware enabled 
loseless de-compression of weights to increase inference performance and reduce 
power.
+
+The scope for this RFC is to add support for offloading to the Arm Ethos-U55 
NPU. The initial machine learning framework that we use for testing this is 
TensorFlow Lite. Future RFCs and pull requests will address additional NPUs, 
such as the Ethos-U65, and other frameworks as the port evolves.
+
+Please refer to Technical Reference Manual (TRM) for more details – 
https://developer.arm.com/documentation/102420/0200.

Review comment:
       Ack




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