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Python – PyTorch ceil() method

• Last Updated : 26 May, 2020

PyTorch `torch.ceil()` method returns a new tensor having the ceil value of the elements of input, Which is the smallest integer larger than or equal to each element.

Syntax: `torch.ceil(inp, out=None)`

Arguments

• inp: 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([``1.3``, ``-``5.6``, ``7.9``, ``10.1``])``print``(a)`` ` `# Applying the ceil function and ``# storing the result in 'out'``out ``=` `torch.ceil(a)``print``(out)`

Output:

```  1.3000
-5.6000
7.9000
10.1000
[torch.FloatTensor of size 4]
2
-5
8
11
[torch.FloatTensor of size 4]
```

Example 2:

 `# Importing the PyTorch library ``import` `torch ``   ` `# A constant tensor of size n``a ``=` `torch.FloatTensor([``1.00001``, ``-``5.699``, ``7.100001``, ``10.0001``])``print``(a)`` ` `# Applying the ceil function and ``# storing the result in 'out'``out ``=` `torch.ceil(a)``print``(out) `

Output:

``` 1.0000
-5.6990
7.1000
10.0001
[torch.FloatTensor of size 4]
2
-5
8
11
[torch.FloatTensor of size 4]
```

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