Hi, I have networks consisting of LSTM, Convolutional and Dense layers, and some BatchNormalization and Concatenate layers. There is also a lambda layer which performs a very simple function - picking one value out of N values in a layer. I am having an issue where the model results from the same data are different when I run the model in Python or in C++ with cppflow. The results are not horribly off, but they are different enough to degrade my model's performance a significant amount, since this si for prediction with high accuracy.

I cannot share details of the model since it's proprietary for my work, but I was hoping someone had run into a similar issue with these layers. Would appreciate any insight!