Hi I am going through PyTorch tutorial at
http://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html#training 8.
Inside the train() function the network parameters are updated with gradients using the below line.
p.data.add_(-learning_rate, p.grad.data)
the add function I saw in the source code accepts only one argument. How does the function accepts 2 arguments and multiplies the learning rate with gradients and add that to the tensor data.