A quick overview of inplace operators in PyTorch

Inplace operations in PyTorch are marked with an underscore(_)
at the end of the function
and are exactly the same as their non-inplace counterparts,
with the exception that we don't need to assign their returned values
back to the original variables.

Here we present seven examples of the following inplace operators for tensors in PyTorch

zero_
fill_ and fill_diagonal_
uniform_
abs_
sigmoid_
sqrt_
clamp_

# Import torch and other required modules
import torch
import matplotlib.pyplot as plt
import seaborn as sns

Function 1 - zero_

Fills a tensor with zeros

We start by creating a new random tensor of dimensions 4*4

tensorA = torch.empty(4,4)
tensorA

tensor([[9.1837e-39, 4.6837e-39, 9.9184e-39, 9.0000e-39],
        [1.0561e-38, 1.0653e-38, 4.1327e-39, 8.9082e-39],
        [9.8265e-39, 9.4592e-39, 1.0561e-38, 1.0561e-38],
        [8.9082e-39, 1.0194e-38, 1.0102e-38, 1.0745e-38]])