…ded but not constant. (#25544)

### Description
<!-- Describe your changes. -->

In DynamicQuantizeMatMul KleidiAI-specific prepacking logic, handle case
where B zero point input is provided but not constant. In this case, we
should not prepack.

Add some unit tests that test the prepacking code path.

Add check for ARM SME instructions in DynamicQuantizeMatMul before
calling `MlasDynamicQGemmBatch()` and associated functions.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

Follow up to #25187

…ded but not constant. (#25544)

### Description
<!-- Describe your changes. -->

In DynamicQuantizeMatMul KleidiAI-specific prepacking logic, handle case
where B zero point input is provided but not constant. In this case, we
should not prepack.

Add some unit tests that test the prepacking code path.

Add check for ARM SME instructions in DynamicQuantizeMatMul before
calling `MlasDynamicQGemmBatch()` and associated functions.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

Follow up to #25187

…KleidiAI (microsoft#25187)

This PR introduces the initial integration of KleidiAI-optimized
microkernels into ONNX Runtime's MLAS backend, focusing on support for:

- SGEMM
- IGEMM
- Dynamic Quantized MatMuls

Key changes:
Implements overrides for MlasGemmBatch, MlasGemmPackBSize, and
MlasGemmPackB using KleidiAI where applicable.
Applies dispatch logic based on TransA == CblasNoTrans and SME2
availability.
Supports float32 and int8 GEMM workloads with conditionally invoked SME2
paths.
Maintains fallback paths to default MLAS implementations to ensure
coverage and stability.

**Known Issues / Next Steps:**
Requesting feedback specifically on the API structure:
Does the new MLAS interface design align with long-term extensibility?
Are the dispatch points and override boundaries well-structured?

Indicative Performance figures:
The kernels added are particularly effective for Conv2D operators:
* Based on KleidiAI SME running mobilenet_v1_ssd_f32 on Mac Mini M4 on a
single thread
<img width="815" height="308" alt="image"
src="https://github.com/user-attachments/assets/e39a7fef-1370-4332-83a3-1f3a80b29da4"
/>

---------

Signed-off-by: Damien Dooley <[email protected]>
Co-authored-by: Jonathan Clohessy <[email protected]>
Co-authored-by: Declan Flavin <[email protected]>
Co-authored-by: Colm Donelan <[email protected]>
Co-authored-by: Damien Dooley <[email protected]>

…ded but not constant. (microsoft#25544)

### Description
<!-- Describe your changes. -->

In DynamicQuantizeMatMul KleidiAI-specific prepacking logic, handle case
where B zero point input is provided but not constant. In this case, we
should not prepack.

Add some unit tests that test the prepacking code path.

Add check for ARM SME instructions in DynamicQuantizeMatMul before
calling `MlasDynamicQGemmBatch()` and associated functions.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

Follow up to microsoft#25187

**Key changes**
This PR integrates KleidiAI SME1 FP32 kernels into the existing
kleidiai_sgemm.cpp implementation.

Adding SME2 flag in onnxruntime/core/common/cpuid_info.h &
onnxruntime/core/common/cpuid_info.cc
Previous SME2 kernels integrated were using SME(1) check, this change
will correctly distinguish between when SME1 and SME2 kernels are to be
used.

Bumping KleidiAI version to 1.10.0

**Indicative performance data**
Single thread Mac Mini M4 runs on various models using:
onnxruntime_perf_test -v -e cpu -I -m times -x 1 -y 1 -r 1
<img width="785" height="400" alt="image"
src="https://github.com/user-attachments/assets/37c0b271-14fb-4b76-b2a0-28c5dd9308aa"
/>

**Next steps**
Additional commits to come will address outstanding to-do issues from
previous PR linked below:
[ KleidiAI SGEMM/IGEMM/Quantized MatMul - Modular MLAS API Changes for
KleidiAI #25187](#25187)

Signed-off-by: Patryk Kaiser <[email protected]>

### Key changes
This patch contains logging macros for the KleidiAI kernels
It also contains changes / todos from a previous PR:
#25187

---------

Signed-off-by: Orlaith Monahan <[email protected]>
Co-authored-by: Edward Chen <[email protected]>

…soft#26146)

### Key changes
This patch contains logging macros for the KleidiAI kernels
It also contains changes / todos from a previous PR:
microsoft#25187

---------

Signed-off-by: Orlaith Monahan <[email protected]>
Co-authored-by: Edward Chen <[email protected]>