Description
I have .pb ai model trained using Tensorflow1x and cpp code was written to run the model in TX2 board now we have to move to Orin nano board with TF2x, in which we are facing error to run the model using cpp code
error: “failed to run the session” and Segmentation Fault
can I get any guideline how to run the pb model using cpp code in Orin nano with TF2x how to load pb as graph and initiate session to start model prediction
Environment
CUDA Version 10.4:
Operating System ubuntu 22 Orin Nano:
Python Version 3.10.12):
TensorFlow Version 2.16.1:
Error faced eager execution, loading pb model as graphdef and using it as session for prediction
bazel command used to build binary and run the binary file
