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

content/pytorch/concepts/tensor-operations/terms/row-stack/row-stack.md

@@ -0,0 +1,51 @@
+---
+Title: '.row_stack()'
+Description: 'Stacks or arranges a sequence of tensors vertically (row-wise).'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Data Types'
+  - 'Deep Learning'
+  - 'Functions'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+In PyTorch, the **`.row_stack()`** function stacks or arranges a sequence of [tensors](https://www.codecademy.com/resources/docs/pytorch/tensors) vertically (row-wise). It is an alias or alternative for the **`.vstack()`** function.
+
+## Syntax
+
+```pseudo
+torch.row_stack(tensors, *, out=None)
+```
+
+- `tensors`: The sequence of tensors to be stacked vertically.
+- `out` (Optional): A tensor to store the output. It must have the correct shape to accommodate the result.
+
+## Example
+
+The following example demonstrates the usage of the `.row_stack()` function:
+
+```py
+import torch
+
+# Create two tensors
+ten1 = torch.tensor([12, 23, 34])
+ten2 = torch.tensor([45, 56, 67])
+
+# Stack the tensors vertically
+res = torch.row_stack((ten1, ten2))
+
+# Print the resultant tensor
+print(res)
+```
+
+The above code produces the following output:
+
+```shell
+tensor([[12, 23, 34],
+        [45, 56, 67]])
+```