Integrate Automated QDQ placement tool - part 2.1 (#844)

## What does this PR do?

This PR implements RegionPattern class. RegionPattern describes local
topology structure of a Region. Regions with same Pattern could be
autotune together. Best insertion points of a given pattern could also
be saved to accelerate the next QDQ autotuning.

**Overview:** ?

## Usage

```python
python -m modelopt.onnx.quantization.autotune.region_search --model model.onnx --verbose
```
```
    ├─ Region 212 (Level 0, Type: COMPOSITE)
    │  ├─ Direct nodes: 0
    │  ├─ Total nodes (recursive): 9
    │  ├─ Children: 1
    │  ├─ Inputs: 3 tensors
    │  │    - xxx
    │  │    - xxx
    │  │    - xxx
    │  └─ Outputs: 1 tensors
    │       - xxx
    │
    │  Child regions:
    │
      ├─ Region 209 (Level 2, Type: LEAF) 
      │  ├─ Direct nodes: 9
      │  ├─ Total nodes (recursive): 9
      │  ├─ Children: 0
      │  ├─ Inputs: 11 tensors
      │  │    - xxx
```

## Testing
<!-- Mention how have you tested your change if applicable. -->

## Before your PR is "*Ready for review*"
<!-- If you haven't finished some of the above items you can still open
`Draft` PR. -->

- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes
- **Did you write any new necessary tests?**: Yes
- **Did you add or update any necessary documentation?**: No, document
update is in Part 4
- **Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**:
CHANGELOG update could be done after all changes are ready.

## Additional Information
<!-- E.g. related issue. -->


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

## Release Notes

* **New Features**
* Enhanced ONNX quantization analysis with improved region pattern
matching and comparison capabilities.
* Added utility to identify quantized tensors in models for better
analysis.

* **Tests**
* Comprehensive test coverage for region pattern functionality and
quantization utilities.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Will Guo <willg@nvidia.com>

Author: willg-nv

modelopt/onnx/op_types.py

@@ -367,3 +367,22 @@ def get_set_ops():
         "Unique",
         "NonZero",
     }
+
+
+def get_symmetric_ops():
+    """Returns set of commutative/symmetric operations where operand order doesn't matter."""
+    return {
+        "Add",
+        "Mul",
+        "And",
+        "Or",
+        "Xor",
+        "Equal",
+        "Max",
+        "Min",
+        "Sum",
+        "Mean",
+        "BitwiseAnd",
+        "BitwiseOr",
+        "BitwiseXor",
+    }