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# Python – PyTorch fmod() method

• Last Updated : 26 May, 2020

PyTorch `torch.fmod()` method gives the element-wise remainder of division by divisor. The divisor may be a number or a Tensor.

Syntax: `torch.fmod(input, div, out=None)`

Arguments

• input: This is input tensor.
• div: This may be a number or a 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``, ``6``, ``7``, ``4``])``print``(a)`` ` `# Applying the fmod function and ``# storing the result in 'out'``out ``=` `torch.fmod(a, ``3``)``print``(out)`

Output:

```5
6
7
4
[torch.FloatTensor of size 4]
2
0
1
1
[torch.FloatTensor of size 4]
```

Example 2:

 `# Importing the PyTorch library ``import` `torch ``   ` `# A constant tensor of size n``a ``=` `torch.FloatTensor([``5``, ``6``, ``7``, ``4``])``b ``=` `torch.FloatTensor([``2``, ``3``, ``4``, ``1``])``print``(a, b)`` ` `# Applying the fmod function and ``# storing the result in 'out'``out ``=` `torch.fmod(a, b)``print``(out)`

Output:

```5
6
7
4
[torch.FloatTensor of size 4]
2
3
4
1
[torch.FloatTensor of size 4]

1
0
3
0
[torch.FloatTensor of size 4]
```

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