Add entry for abs tensor operation

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

@@ -1,6 +1,6 @@
 ---
 Title: '.abs()'
-Description: 'Computes the adjoint of a 2D complex-valued tensor in PyTorch.'
+Description: 'Computes the absolute value of each element in a PyTorch tensor. For complex numbers, returns their magnitude.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
@@ -13,22 +13,49 @@ CatalogContent:
   - 'paths/data-science'
 ---
 
-The **`.abs()`** method in PyTorch
+The **`.abs()`** method in PyTorch calculates the absolute value (magnitude) of each element in a tensor. For real numbers, this returns their non-negative value. For complex numbers, it computes the magnitude using the formula √(real² + imag²). This operation is widely used in data preprocessing, signal processing, and mathematical transformations.
 
 ## Syntax
 
 ```pseudo
 tensor.abs()
 ```
 
+The `.abs()` method returns a tensor where each element is the absolute value of the corresponding element in the input tensor.
+
 ## Example
 
+This example shows how to use .abs() to compute absolute values for both real and complex tensors:
+
 ```py
 import torch
 
+# Define a tensor with real and complex numbers
+tensor = torch.tensor([[-3.0, 2.5], [1 - 2j, 3 + 4j]])
+
+# Compute absolute values
+abs_tensor = tensor.abs()
+
+print("Original Tensor:")
+print(tensor)
 
+print("\nAbsolute Values:")
+print(abs_tensor)
 ```
 
 This example results in the following output:
 
+```shell
+Original Tensor:
+tensor([[-3.0000+0.j,  2.5000+0.j],
+        [1.0000-2.j, 3.0000+4.j]])
+
+Absolute Values:
+tensor([[3.0000, 2.5000],
+        [2.2361, 5.0000]])
+```
+
 In this example:
+
+- **Real numbers**: -3.0 becomes 3.0, 2.5 remains 2.5.
+- **Complex numbers**: 1 - 2j → √(1² + (-2)²) ≈ 2.2361; 3 + 4j → √(3² + 4²) = 5.0