We have a convolutional network that takes a variable input size. The original network is created for a specific input size (e.g. 192x192), and before loading the network, a reshape is performed to match the new input size. We found that when loading the network, the program crashes for certain input sizes.
I have attached code and model files that replicate this problem. The model file simple2.bin is created for an input size of 192x192. if the input size is changed to 512x600, it crashes when executing the "ie.load_network()" command.
Please note that this does not happen for all sizes. For example 512x400 works fine. This was not a problem prior to 2019 R2 release (2019 R1 worked fine)