Hello, We are also working on this. Perhaps we can discuss and learn this
progress together?
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@chiuchiu ， Hello， have you solved this problem? I want to get some suggestions
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thanks for your suggestion! I will read the tvm source code for more
information.
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See this blog post about BYOC:
https://tvm.apache.org/2020/07/15/how-to-bring-your-own-codegen-to-tvm
For more examples, you can search "BYOC" in pull request titles of the upstream
TVM. Usually the PR with title `[BYOC] XXX integration` is the one that
introduces a new backend.
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Thanks for your reply so much!
But I'm a little confused about your answer, sorry for my ignorance about DNN
compiler.
1) > Firstly, you should implement your own quantization algorithm...
what's mean about "quantization algorithm", and what for?
2) Is there any prject or example about addin
I assume you don't have your own NPU accelerate library, so you couldn't go TVM
BYOC.
Firstly, you should implement your own quantization algorithm based on your NPU
(not all operation / data type could be provided on your NPU, like int64)
Secondly, you should consider provide your own relay
Hi all,
we design an NPU for our SOC which is not like VTA, how should we do to run TVM
on this AI core?
this NPU has its own ISA, but we have not yet implemented any LLVM backend for
it.
anyone can give the suggestion(guide) that the main steps(tasks) to enable TVM
running on the chip?
Than
