Add documentation for .aminmax() method

Fixes #8238

Author: abdultalha0862

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

@@ -0,0 +1,61 @@
+---
+Title: '.aminmax()'
+Description: 'Returns both the minimum and maximum values of a tensor along a specified dimension or across the entire tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Deep Learning'
+  - 'Methods'
+  - 'Programming'
+  - 'PyTorch'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.aminmax()`** method in PyTorch computes both the minimum and maximum values of a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) in a single operation. This method is more efficient than calling `.amin()` and `.amax()` separately, as it requires only one pass through the data. It can operate on the entire tensor or along a specific dimension, making it useful for data analysis, normalization, and monitoring value ranges in neural networks.
+
+## Syntax
+
+```pseudo
+torch.aminmax(input)
+```
+
+**Parameters:**
+
+- `input`: The input tensor to find the minimum and maximum values from.
+  **Return value:**
+
+The `.aminmax()` method returns a named tuple `(min, max)` containing two tensors: the minimum values in the `min` field and the maximum values in the `max` field.
+
+## Example
+
+This example shows how to use the `.aminmax()` method to find the minimum and maximum values of a tensor:
+
+```py
+import torch
+
+# Create a sample tensor
+tensor = torch.tensor([[3.5, 1.2, 8.7],
+                       [4.1, 9.3, 2.6],
+                       [7.0, 5.4, 6.2]])
+
+# Find minimum and maximum values of the entire tensor
+result = torch.aminmax(tensor)
+print("Result:", result)
+print("Minimum value:", result.min)
+print("Maximum value:", result.max)
+```
+
+This example results in the following output:
+
+```shell
+torch.return_types.aminmax(min=tensor(1.2000),
+                            max=tensor(9.3000)
+                        )
+Minimum value: tensor(1.2000)
+Maximum value: tensor(9.3000)
+```
+
+In this example the maximum value is `9.3000` and the minimum value is `1.2000`.