Python - PyTorch is_tensor() method

Python – PyTorch trunc() method

Last Updated : 26 May, 2020

PyTorch torch.trunc() method returns a new tensor with the truncated integer values of the elements of input/ after removing the decimal portion of the number.

Syntax: torch.trunc(input, out=None)

Arguments

input: 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.randn(6) 
print(a) 
  
# Applying the trunc function and  
# storing the result in 'out' 
out = torch.trunc(a) 
print(out) 

Output:

 1.1257
 0.4493
-0.7309
 1.5523
-0.2877
 0.1155
[torch.FloatTensor of size 6]
 1
 0
-0
 1
-0
 0
[torch.FloatTensor of size 6]

Example 2:

# Importing the PyTorch library  
import torch  
    
# A constant tensor of size n 
a = torch.FloatTensor([1.5, 3.9, -6.9, 3.678]) 
print(a) 
  
# Applying the trunc function and  
# storing the result in 'out' 
out = torch.trunc(a) 
print(out) 

Output:

 1.5000
 3.9000
-6.9000
 3.6780
[torch.FloatTensor of size 4]
 1
 3
-6
 3
[torch.FloatTensor of size 4]

Python - PyTorch is_tensor() method

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