[Term Entry] PyTorch Tensor Operations: .is_tensor()

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

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+---
+Title: '.is_tensor()'
+Description: 'Checks if the given object is a PyTorch tensor.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Deep Learning'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.is_tensor()`** function checks if the given object is a PyTorch [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It returns `True` if the object is a tensor; otherwise, it returns `False`. This function is part of the `torch` module.
+
+## Syntax
+
+```pseudo
+torch.is_tensor(obj)
+```
+
+- `obj`: The object to check whether it is a PyTorch tensor.
+
+## Example
+
+The following example demonstrates the usage of the `.is_tensor()` function:
+
+```py
+import torch
+
+# Define objects
+tensor_obj = torch.tensor([11, 22, 33, 44, 55])  # Tensor object
+list_obj = [11, 22, 33, 44, 55]  # Non-tensor object
+
+# Check if the objects are PyTorch tensors
+print(torch.is_tensor(tensor_obj))  # True
+print(torch.is_tensor(list_obj))    # False
+```
+
+The above code produces the following output:
+
+```shell
+True
+False
+```