Python - PyTorch div() method

Python Pytorch ones() 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.ones() returns a tensor filled with the scalar value 1, with the shape defined by the variable argument size.

Syntax: torch.ones(size, out=None) Parameters: size: a sequence of integers defining the shape of the output tensor out (Tensor, optional): the output tensor Return type: A tensor filled with scalar value 1, of same shape as size.

Code #1:

Python3

# Importing the PyTorch library
import torch


# Applying the ones function and
# storing the resulting tensor in 't'
a = torch.ones([3, 4])
print("a = ", a)

b = torch.ones([1, 5])
print("b = ", b)

c = torch.ones([5, 1])
print("c = ", c)

d = torch.ones([3, 3, 2])
print("d = ", d)

Output:

a =  tensor([[1., 1., 1., 1.],
        [1., 1., 1., 1.],
        [1., 1., 1., 1.]])
b =  tensor([[1., 1., 1., 1., 1.]])
c =  tensor([[1.],
        [1.],
        [1.],
        [1.],
        [1.]])
d =  tensor([[[1., 1.],
         [1., 1.],
         [1., 1.]],

        [[1., 1.],
         [1., 1.],
         [1., 1.]],

        [[1., 1.],
         [1., 1.],
         [1., 1.]]])

Python - PyTorch div() method

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