The image sizes in your commend do not correspond to how they are stored in pytorch: The channel is before the size dimensions: batch_size x nb_channels x height x width.
Also I am not sure to understand what you want to do in the convolutional layers, I think you want the in_features for fc9 to be 192*7*7=9408. You can do that by adding a output = output.view(output.size(0), -1) in the forward pass and changing the in features when you declare it.