The problem is basically fixed in [PR
#5382](https://github.com/apache/incubator-tvm/pull/5382), but I'm still not
very clear of the whole picture.
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Thanks for the RFC. While I'm also interested in the questions @zhiics raised,
I have a few more questions:
1. It seems like the major annotation process would be done by composite
functions. Will your flow use patterns to form composite functions only? Or you
will still have a list of suppor
@Leo-arm Thanks for the proposal and the interest in BYOC. I have a few
questions, 1) are you using the CSourceModule runtime/serialization or
something different? 2) Is the codegen toolchain ACL and do you plan to set the
CI for testing because I see there are several stages for testing?
## Motivation and Scope
The Arm Ethos-N series is an high throughput, low area neural network processor
for ML inference from cloud to edge to endpoint. This processor and software
driver stack supports a variety of popular neural networks, including CNNs and
RNNs, for classification, object
