aten.alias.default operation is not supported by Coremltools converter.

## 🌱 Describe your Feature Request
- Please provide a description of your feature request, clear and consise.
- If this is a feature request for the Core ML Framework or Xcode, please instead submit your feature request using the Feedback Assistant for Developers:
https://developer.apple.com/bug-reporting/

aten.alias.default operation is not supported by Coremltools converter.

## How can this feature be used?
Please provide some examples where this feature can be used.

Trying to convert complex model from Torch to CoreML model.

## Describe alternatives you've considered
NO alternative.

## Additional context
Stack trace:
```
File "/opt/anaconda3/envs/uat/lib/python3.11/site-packages/coremltools/converters/mil/frontend/torch/converter.py", line 633, in __init__
self.graph = InternalTorchIRGraph.from_exir(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/uat/lib/python3.11/site-packages/coremltools/converters/mil/frontend/torch/internal_graph.py", line 590, in from_exir
nodes.append(InternalTorchIRNode.from_exir_node(node=node))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/anaconda3/envs/uat/lib/python3.11/site-packages/coremltools/converters/mil/frontend/torch/internal_graph.py", line 289, in from_exir_node
raise ValueError(f"Unsupported fx node {str(node)}, kind {kind}")
ValueError: Unsupported fx node alias, kind alias
```

Start in converters/mil/frontend/torch/internal_graph.py at InternalTorchIRNode.from_exir_node, then trace how converter.py builds the graph. Reproduce the Torch-to-Core ML conversion that emits aten.alias.default and verify it no longer raises the unsupported FX node error.

Written by the indexing model from the issue text.