Added term for .pow() in pytorch. (#7929)

* Added term for `.pow()` in pytorch.

* Update pow.md

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Author: Rupa-Rd

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

@@ -0,0 +1,57 @@
+---
+Title: '.pow()'
+Description: 'Raises each element of the input tensor to the specified power and returns a new tensor with the computed values.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Elements'
+  - 'Methods'
+  - 'PyTorch'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.pow()`** method in PyTorch computes the power of each [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) element by raising it to a specified exponent.
+
+## Syntax
+
+```pseudo
+torch.pow(input, exponent, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor whose elements are to be raised to a power.
+- `exponent`: The exponent value(s). If a tensor, it must be broadcastable to the shape of `input`.
+- `out` (Optional): A tensor to store the output. If provided, it must have the same shape as `input`.
+
+**Return value:**
+
+Returns a new tensor containing the element-wise results of raising each input element to the specified power.
+
+## Example
+
+The following example demonstrates the usage of the `.pow()` function:
+
+```py
+import torch
+
+# Define a tensor
+input_tensor = torch.tensor([1.0, 0.5, 3.0, 5.5, 11.0])
+
+# Compute the exponent of each element in the input tensor
+output_tensor = torch.pow(input_tensor, 3)
+
+# Print the resultant tensor
+print(output_tensor)
+```
+
+The above code produces the following output:
+
+```shell
+tensor([1.0000e+00, 1.2500e-01, 2.7000e+01, 1.6638e+02, 1.3310e+03])
+```