onnxruntime

Add InstanceNormalization operator to QNN EP (#14867)

### Description

QNN EP:
- Adds the
[InstanceNormalization](https://onnx.ai/onnx/operators/onnx__InstanceNormalization.html)
operator to QNN EP.
- Fixes graph composition bug when Transpose node is the last node in a
graph.
- Adds check for input shape when GetCapability is called (before and
after layout transformation)
- Should add similar checks for other layout sensitive ops (conv, pool,
...) in a separate PR
- Adds initial QNN op tests for QDQ conv and QDQ  InstanceNormalization
  - Should add tests for other ops in a separate PR

Optimizer:
- Makes InstanceNormalization a layout sensitive operator.
- Adds a custom QDQ group selector for InstanceNormalization.

Quantization tool:
- Adds QDQ support for InstanceNormalization operator.
- Adds python unit test for InstanceNormalization quantization.

### Motivation and Context
Needed to support stable diffusion models with QNN.

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Co-authored-by: Hector Li <hecli@microsoft.com>