- Also fix unit test failure.

### Description  
Add support for translation of MatMulNBits contrib op to
  QNN with FullyConnected operation with INT4 BlockQuantized weights

Implementation details:
 - Translate MatMulNBits to FullyConnected in OpBuilder
 - Support QNN_QUANTIZATION_ENCODING_BLOCK for INT4 weights
- Pass INT4 weights and quant params as BlockQuantization encoding
params in QNN

Testing:
 - Added new unit tests for MNB -> QNN-GPU
 - Validated all OnnxRuntime tests
- Validated the following LLMs through Olive and ORT-GenAI execution
flow
   - LlaMA3.2 1B
   - Qwen2.5
   - DeepSeek-R1-Qwen 1.5b
   - Phi3.5-mini-instruct

### Motivation and Context
LLMs with INT4 quantization pass in Olive will generate a model with
MatMulMBits contrib ops.
To run these ops via QNN-EP, MatMulNBits is translated to QNN
FullyConnected op with INT4 weights.

---------

Co-authored-by: tirupath-qti <tirupath@qti.qualcomm.com>

### Description
Add support for translation of MatMulNBits contrib op to
  QNN with FullyConnected operation with INT4 BlockQuantized weights

Implementation details:
 - Translate MatMulNBits to FullyConnected in OpBuilder
 - Support QNN_QUANTIZATION_ENCODING_BLOCK for INT4 weights
- Pass INT4 weights and quant params as BlockQuantization encoding
params in QNN

Testing:
 - Added new unit tests for MNB -> QNN-GPU
 - Validated all OnnxRuntime tests
- Validated the following LLMs through Olive and ORT-GenAI execution
flow
   - LlaMA3.2 1B
   - Qwen2.5
   - DeepSeek-R1-Qwen 1.5b
   - Phi3.5-mini-instruct

### Motivation and Context
LLMs with INT4 quantization pass in Olive will generate a model with
MatMulMBits contrib ops.
To run these ops via QNN-EP, MatMulNBits is translated to QNN
FullyConnected op with INT4 weights.

---------

Co-authored-by: tirupath-qti <tirupath@qti.qualcomm.com>
(cherry picked from commit ba11af4)

### Description
This PR cherry-picks the following changes for the 1.24.0 release.

### Cherry-picked Commits
| Commit | Commit Title | Author |
|---|---|---|
| 744e7fe | Add type definitions, registration, utilities for
INT2/UINT2 support (#26824) | vraspar |
| 530a1fb | [QNN EP] Add BFloat16 dtype support in QNN EP (#26987) |
tirupath-qti |
| 8e050d1 | Implement new experimental lookup-based matrix
multiplication method(TMAC) (#26695) | vraspar |
| 2d2ba6b | [MLAS/CPU EP] Improve performance of Silu activation path
within the QuickGelu CPU kernel (#26753) | Hariharan Seshadri |
| 1c02b79 | [QNN EP] Add support for handling 0-dimension for Concat
Op (#27000) | Ashwath Shankarnarayan |
| cc2b01b | Fix ClipQuantFusion crash when Clip has multiple input
edges (#27016) | Edward Chen |
| bbd3850 | [QNN EP] Support quantized BatchNorm with per-channel DQ
params on QNN HTP (#26959) | qti-yuduo |
| d8f0318 | Add API to get ep graph partitioning info (#26781) |
Adrian Lizarraga |
| b912b18 | [OVEP] OpenVINO EP Features and bug-fixes for ORT-1.24 -
Follow up (#27007) | Preetha Veeramalai |
| ba11af4 | [QNN-EP] Add MatMulNBits translation for GPU (#26340) |
quic-tirupath |
| c03c419 | [MLAS/NEON] Add dedicated kernel for depthwise
convolution for ARM64 using NEON intrinsics (#26688) | Hariharan
Seshadri |
| e7dfd69 | [QNN-EP] Support alternate Layernorm fusion pattern in
QNN preprocess (#26060) | qti-mattsinc |
| 4013dc1 | Implement multithreading in qgemm_kleidi (#26301) |
Melike Kaptan |
| 9f06181 | [CXX] Enable users to specify custom OrtSyncStream via
RunOptions (#26988) | Dmitri Smirnov |
| cfccd64 | Added support for QMX kernels in MLAS (#26849) |
qti-vaiskv |
| 29d9b2f | Tweak external resource importer handle structs (#27040)
| Scott McKay |
| 9d108d0 | [QNN EP] Add QuickGELU operator support for QNN provider
(#27034) | tirupath-qti |
| b35688f | Add INT2 and UINT2 support for QDQ, transpose and cast
ops (#27022) | vraspar |
| 6d34aba | Introducing BF16 Pointwise NCHWc Convolution for Arm64
(#26838) | Rohanjames1997 |
| 36017ad | [EP ABI] Add CreateCustomOpDomains() API for plugin EP to
register custom ops (#27050) | Chi Lo |
| 50a03e4 | Add a new pipeline for CUDA 13 nuget builds (#27023) |
eserscor |
| a0d4439 | [EP ABI] Update Graph_GetGraphView() implementation
(#26711) | Chi Lo |
| 34bb209 | [webgpu] Fix a bug for im2col (#27069) | Wenqin Yang |
| 46e8d45 | [QNN EP] Add FusedMatMul operator support (#27044) |
tirupath-qti |
| 5e7e7a3 | Disable Float32_2Bits_Asymmetric_256x256 test (#27046) |
vraspar |
| 39f966e | Fix Doxygen documentation build error in
onnxruntime_c_api.h (#27083) | Nick Eubanks |
| 8a7a797 | Print tensor for new packed type of 2 bits (#27064) |
Tianlei Wu |
| 01f40e6 | Fix GPU JAR testing on Linux (#27011) | eserscor |
| b6ed7f3 | Fix warning around ununsed code in QNN Android Emulator
builds by clang (#27026) | Hariharan Seshadri |
| d7daa45 | Raise the timeout for the ios simulator job (#27045) |
Hariharan Seshadri |
| 7e1d818 | upgrade emsdk to 4.0.23 (#27029) | Yulong Wang |
| 347b990 | Fix failing mainline build on Arm64 linux (#27101) |
Rohanjames1997 |
| f481b17 | Add dedicated API to support extracting compatibility
string from model metadata (#27015) | adrastogi |

---------

Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
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### Description  
Add support for translation of MatMulNBits contrib op to
  QNN with FullyConnected operation with INT4 BlockQuantized weights

Implementation details:
 - Translate MatMulNBits to FullyConnected in OpBuilder
 - Support QNN_QUANTIZATION_ENCODING_BLOCK for INT4 weights
- Pass INT4 weights and quant params as BlockQuantization encoding
params in QNN

Testing:
 - Added new unit tests for MNB -> QNN-GPU
 - Validated all OnnxRuntime tests
- Validated the following LLMs through Olive and ORT-GenAI execution
flow
   - LlaMA3.2 1B
   - Qwen2.5
   - DeepSeek-R1-Qwen 1.5b
   - Phi3.5-mini-instruct

### Motivation and Context
LLMs with INT4 quantization pass in Olive will generate a model with
MatMulMBits contrib ops.
To run these ops via QNN-EP, MatMulNBits is translated to QNN
FullyConnected op with INT4 weights.

---------

Co-authored-by: tirupath-qti <tirupath@qti.qualcomm.com>