Learn practical skills, build real-world projects, and advance your career
Created 4 years ago
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
# Import torch and other required modules
import torch
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