Hi NVES,
thanks for your reply. I am using trtexec.
The onnx model checker works fine:
Python 3.6.9 (default, Oct 8 2020, 12:12:24)
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import onnx
>>> import sys
>>> filename = "saved_model_dialog_nlu.onnx"
>>> model = onnx.load(filename)
>>> onnx.checker.check_model(model)
>>>
>>>
>>>
>>> exit()
This is a large Bert model that I converted from keras to onnx and the conversion was successful.
You can pull the onnx model here:
Let me know if you need more information.
When I look at the table of supported operations for trtexec conversion I see this:
Could that be the issue? Any idea how to workaround it?