Python PyTorch zeros() 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.zeros() returns a tensor filled with the scalar value 0, with the shape defined by the variable argument size.
Syntax: torch.zeros(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 0, of same shape as size.
Code #1:
Python3
# Importing the PyTorch library
import torch
# Applying the zeros function and
# storing the resulting tensor in 't'
a = torch.zeros([3, 4])
print("a = ", a)
b = torch.zeros([1, 5])
print("b = ", b)
c = torch.zeros([5, 1])
print("c = ", c)
d = torch.zeros([3, 3, 2])
print("d = ", d)
Output:
a = tensor([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 0.]])
b = tensor([[0., 0., 0., 0., 0.]])
c = tensor([[0.],
[0.],
[0.],
[0.],
[0.]])
d = tensor([[[0., 0.],
[0., 0.],
[0., 0.]],
[[0., 0.],
[0., 0.],
[0., 0.]],
[[0., 0.],
[0., 0.],
[0., 0.]]])
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