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Python – PyTorch floor() method
• Last Updated : 26 May, 2020

PyTorch `torch.floor()` method returns a new tensor which is floor of the elements of input, the largest integer less than or equal to each element. Syntax: `torch.floor(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([``1.5``, ``4.2``, ``6.7``, ``3.9``]) ` `print``(a) ` ` `  `# Applying the floor function and  ` `# storing the result in 'out' ` `out ``=` `torch.floor(a) ` `print``(out) `

Output:

``` 1.5000
4.2000
6.7000
3.9000
[torch.FloatTensor of size 4]

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

Example 2:

 `# Importing the PyTorch library  ` `import` `torch  ` `   `  `# A constant tensor of size n ` `a ``=` `torch.FloatTensor([``1.59``, ``4.5999``, ``6.78``, ``3.99999``]) ` `print``(a) ` ` `  `# Applying the floor function and  ` `# storing the result in 'out' ` `out ``=` `torch.floor(a) ` `print``(out) `

Output:

```1.5900
4.5999
6.7800
4.0000
[torch.FloatTensor of size 4]

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

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