Python - PyTorch clamp() 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:

# 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:

# 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 clamp() method

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