Python PyTorch log2() method

Python Pytorch full() method

Last Updated : 22 Apr, 2020

PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.full() returns a tensor of size size filled with fill_value.

Syntax: torch.ones(size, fill_value, out=None) Parameters: size: a sequence of integers defining the shape of the output tensor fill_value: the number to fill the output tensor with. out (Tensor, optional): the output tensor Return type: A tensor

Code #1:

Python3

# Importing the PyTorch library
import torch


# Applying the full function and
# storing the resulting tensor in 'a'
a = torch.full([3, 4], 3)
print("a = ", a)

b = torch.full([2, 5], 3.5)
print("b = ", b)

Output:

a =  tensor([[3., 3., 3., 3.],
        [3., 3., 3., 3.],
        [3., 3., 3., 3.]])
b =  tensor([[3.5000, 3.5000, 3.5000, 3.5000, 3.5000],
        [3.5000, 3.5000, 3.5000, 3.5000, 3.5000]])

Python PyTorch log2() method

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