Python - PyTorch log() method

Python - PyTorch ceil() method

Last Updated : 26 May, 2020

PyTorch torch.ceil() method returns a new tensor having the ceil value of the elements of input, Which is the smallest integer larger than or equal to each element.

Syntax: torch.ceil(inp, out=None) Arguments

inp: This is input tensor.

out: The output tensor.

Return: It returns a Tensor.

Let's see this concept with the help of few examples: Example 1:

Python3

# Importing the PyTorch library 
import torch 
  
# A constant tensor of size n
a = torch.FloatTensor([1.3, -5.6, 7.9, 10.1])
print(a)

# Applying the ceil function and 
# storing the result in 'out'
out = torch.ceil(a)
print(out)

Output:

  1.3000
 -5.6000
  7.9000
 10.1000
[torch.FloatTensor of size 4]
  2
 -5
  8
 11
[torch.FloatTensor of size 4]

Example 2:

Python3

# Importing the PyTorch library 
import torch 
  
# A constant tensor of size n
a = torch.FloatTensor([1.00001, -5.699, 7.100001, 10.0001])
print(a)

# Applying the ceil function and 
# storing the result in 'out'
out = torch.ceil(a)
print(out)

Output:

 1.0000
 -5.6990
  7.1000
 10.0001
[torch.FloatTensor of size 4]
  2
 -5
  8
 11
[torch.FloatTensor of size 4]

Python - PyTorch log() method

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