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Python – PyTorch frac() method

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  • Last Updated : 26 May, 2020
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PyTorch torch.frac() method computes the fractional portion of each element in input.

Syntax: torch.frac(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.FloatTensor([-5.4, 6.6, -7.1099, 4.4567])
print(a)
  
# Applying the frac function and 
# storing the result in 'out'
out = torch.frac(a)
print(out)

Output:

-5.4000
 6.6000
-7.1099
 4.4567
[torch.FloatTensor of size 4]

-0.4000
 0.6000
-0.1099
 0.4567
[torch.FloatTensor of size 4]

Example 2:




# Importing the PyTorch library 
import torch 
    
# A constant tensor of size n
a = torch.randn(6)
print(a)
  
# Applying the frac function and 
# storing the result in 'out'
out = torch.frac(a)
print(out)

Output:

-0.5260
-1.8843
 0.8062
 1.2264
-0.1505
-0.3217
[torch.FloatTensor of size 6]

-0.5260
-0.8843
 0.8062
 0.2264
-0.1505
-0.3217
[torch.FloatTensor of size 6]
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