Created .ceil() entry for PyTorch

content/pytorch/concepts/tensor-operations/terms/ceil/ceil.md

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+---
+Title: '.ceil()'
+Description: 'Returns a new tensor with the smallest integer greater than or equal to each element of the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Python'
+  - 'Machine Learning'
+  - 'Functions'
+  - 'Values'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.ceil()`** function returns a new tensor with the smallest integer greater than or equal to each element of the input tensor.
+
+## Syntax
+
+```pseudo
+torch.ceil(input,*, out=None)
+```
+
+- `input`: the primary parameter, representing the tensor whose elements you want to apply the ceiling operation to
+
+- `out`: an optional keyword argument. If you provide an existing tensor here, the result of the `ceil` operation will be stored in this `out`tensor. This can be useful for memory optimization if you want to reuse an existing tensor
+
+## Example
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1.2, -0.8, 3.0, -2.7, 5.5])
+
+# Apply the ceil operation
+y = torch.ceil(x)
+
+print(f"Original tensor: {x}")
+print(f"Ceil tensor: {y}")
+```
+
+The above program gives the following output:
+
+```shell
+Original tensor: tensor([1.2000, -0.8000, 3.0000, -2.7000, 5.5000])
+Ceil tensor: tensor([2., -0.0000, 3., -2., 6.])
+```