Hi, this is my second post on this community.
I would like to use TVM to optimise a tensorflow model that uses tensorflow 2.2
operators that are currently not being supported by the tensorflow frontend.
I then convert the tensorflow model to tensorflow lite model and tried to use
the tflite frontend:
~~~~
mod, params = relay.frontend.from_tflite(tflite_model,
shape_dict={input_tensor: input_shape},
dtype_dict={input_tensor: input_dtype})
~~~~
However, I got the following error information:
~~~~~
OpNotImplemented: The following operators are not supported in frontend TFLite:
'NON_MAX_SUPPRESSION_V5'
~~~~~
I looked into the source code of tflite and it seems to a bit learning curve on
implement 'NON_MAX_SUPPRESSION_V5'. I wonder if there is a plan to implement
this or any advce on how I can implement and test it by myself. Finally I
would like to contribute it back to the community.
Cheers.
---
[Visit
Topic](https://discuss.tvm.ai/t/support-for-new-operators-for-tflite-frontend/6972/1)
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