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# Python – PyTorch frac() method

• Last Updated : 26 May, 2020

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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