[QNN EP] Support non-quantized Op on HTP (#17194)
### Description
[QNN EP] Support non-quantized Op on HTP
1. Remove the limitation in GetCapability that always require QDQ node
unit group to partition the node on NPU backend. So that we can support
non-quantized Slice op with int32 data input on HTP.
2. Enable Where QDQ node unit
3. Separate out the flag is_npu_backend & is_quantized_node to make it
clear
4. Separate output QuantizeLinear, DequantizeLinear to QdqOpBuilder to
better identify quantized/un-quantized input/output tensor
5. Separate out a TransposeOpBuilder to make it simple for Transpose
node processing. Especially for Single Transpose node in QDQ model, for
case like Q->Tranpose->DQ, Transpose is not QDQ node unit group, it's
single node. But we should treat it as quantized node. Output should has
same data type and quantization parameter with input. Another case is to
support non-quantized data for Transpose in QDQ model.
6. Remove is_npu_backend flag from OpBuilder interface. Set the backend
type in QnnBackendManager, QnnMOdel & QnnModelWrapper, so that
OpBuilders can always get it from QnnModelWrapper.
7. Add unit tests for quantized/non-quantized Transpose (int32, float32)
on HTP backend
