chayliu-ecarx commented on issue #17193:
URL: https://github.com/apache/tvm/issues/17193#issuecomment-2247222962
Ok，I will add this to readme.
However, there are some other questions:
1. Can we import other framework model such as onnx?
2. Can we import a float32 model and using AIMET quantify encoding
information?
3. Can we use qnn as the runtime by BYOC?
4. After import the inceptionv4 TFLITE model，and then trying to building for
it as:
```
mod, params = relay.frontend.from_tflite(tflite_model)
target = tvm.target.hexagon('v66', hvx=0)
with tvm.transform.PassContext(opt_level=3):
lib = relay.build(mod, tvm.target.Target(target, host=target),
params=params, mod_name="default")
```
there is an error: `LLVM ERROR: Do not know how to split the result of this
operator!`
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