Check the total number of parameters in a PyTorch model
How do I count the total number of parameters in a PyTorch model? Something similar to model.count_params() in Keras.

PyTorch doesn't have a function to calculate the total number of parameters as Keras does, but it's possible to sum the number of elements for every parameter group:

pytorch_total_params = sum(p.numel() for p in model.parameters())


If you want to calculate only the trainable parameters:

pytorch_total_params = sum(p.numel() for p in model.parameters() if p.requires_grad)


Answer inspired by this answer on PyTorch Forums.

Note: I'm answering my own question. If anyone has a better solution, please share with us.
