Hi! I have a model which was serailized using Python and now I want to use the same model to do the same serializing job but in C++. However, when I have finished my code I found that the model gave me an extreme wired result and every time I ran the same inference code, the result will change.
I have checked the pre-process and post-process code, which was using opencv to do the image transformation and there is no random variable used. Then the only doubt whould be the deserialized model.
So I wonder if the model converted using python will not reproduce the same answer while using C++? Even if the Device and environment stay the same.
TensorRT Version: 7.2.2
GPU Type: TITAN V
Nvidia Driver Version: 450.51.05
CUDA Version: 11.0
CUDNN Version: 8.0.5
Operating System + Version: Ubuntu 18.04
Python Version (if applicable): 3.6
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):