JovianML - ZerotoGAN - Assignment 1

Some useful methods from Pytorch tensor class

Here I will be discussing some of the useful pytorch methods that will be useful for your datascience projects.

• torch.add
• torch.cat
• apply_
• torch.abs
• torch.arange

torch.tensor() always copies data. If you have a Tensor data and just want to change its requires_grad flag, use requires_grad_() or detach() to avoid a copy. If you have a numpy array and want to avoid a copy, use torch.as_tensor().

Function 1 - torch.add

Add a scalar or tensor to self tensor. If both alpha and other are specified, each element of other is scaled by alpha before being used.

When other is a tensor, the shape of other must be broadcastable with the shape of the underlying tensor