[QNN-EP] Add MatMulNBits translation for GPU by quic-tirupath · Pull Request #26340 · microsoft/onnxruntime

quic-tirupath · 2025-10-17T16:25:38Z

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.

quic-tirupath · 2025-10-17T16:34:04Z

Chi Lo (@chilo-ms)
Could you please trigger CI ?

Edward Chen (edgchen1) · 2025-10-17T22:36:42Z

/azp run Windows ARM64 QNN CI Pipeline

azure-pipelines · 2025-10-17T22:36:51Z

Azure Pipelines successfully started running 1 pipeline(s).

Edward Chen (edgchen1) · 2025-10-21T00:07:32Z

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows GPU Doc Gen CI Pipeline

azure-pipelines · 2025-10-21T00:07:46Z

Azure Pipelines successfully started running 3 pipeline(s).

John Paul (johnpaultaken) · 2025-10-21T12:07:16Z

Edward Chen (@edgchen1) Please holdoff on merging this pull request. There might be an issue with this change.

John Paul (johnpaultaken) · 2025-10-21T12:30:03Z

We are seeing NaN outputs for Qwen and DeepSeek 1.5B using MatmulNBits that was triaged to this change.

skadaver-qti · 2025-11-03T04:35:56Z

We are seeing NaN outputs for Qwen and DeepSeek 1.5B using MatmulNBits that was triaged to this change.

The NaN issue is identified and fixed from Qnn Gpu backend. Confirmed that there are no issues with this PR

John Paul (johnpaultaken) · 2025-11-03T07:43:34Z

We are seeing NaN outputs for Qwen and DeepSeek 1.5B using MatmulNBits that was triaged to this change.

The NaN issue is identified and fixed from Qnn Gpu backend. Confirmed that there are no issues with this PR

I tested with the next release of Qnn Gpu 2.40. The issue still seems to be present. Lets discuss offline and clarify things before this change is merged.

John Paul (johnpaultaken) · 2025-11-19T01:24:56Z

Edward Chen (@edgchen1) Please holdoff on merging this pull request. There might be an issue with this change.

Edward Chen (@edgchen1) Thanks for holding off. This issue is verified as fixed with QNN SDK 2.41. Please procced with the merge.

quic-tirupath · 2025-12-13T03:01:07Z

Edward Chen (@edgchen1)
Thanks for the review and suggestions. We addressed the comments and rebased the PR.
Could you please kindly review and approve the PR. Please help to trigger CI as well.

Edward Chen (edgchen1) · 2025-12-16T21:49:44Z

/azp run Linux QNN CI Pipeline,Windows ARM64 QNN CI Pipeline

azure-pipelines · 2025-12-16T21:49:52Z

Command 'Linux' is not supported by Azure Pipelines. Supported commands help: Get descriptions, examples and documentation about supported commands Example: help "command_name" list: List all pipelines for this repository using a comment. Example: "list" run: Run all pipelines or specific pipelines for this repository using a comment. Use this command by itself to trigger all related pipelines, or specify specific pipelines to run. Example: "run" or "run pipeline_name, pipeline_name, pipeline_name" where: Report back the Azure DevOps orgs that are related to this repository and org Example: "where" See additional documentation.

azure-pipelines · 2025-12-16T22:00:28Z

Azure Pipelines successfully started running 2 pipeline(s).

Edward Chen (edgchen1) · 2025-12-16T22:01:01Z

/azp run Linux QNN CI Pipeline,Windows ARM64 QNN CI Pipeline

azure-pipelines · 2025-12-16T22:01:13Z

Azure Pipelines successfully started running 2 pipeline(s).

Edward Chen (edgchen1) · 2025-12-18T19:47:03Z

/azp run Linux QNN CI Pipeline,Windows ARM64 QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows GPU Doc Gen CI Pipeline

azure-pipelines · 2025-12-18T19:47:22Z

Azure Pipelines successfully started running 4 pipeline(s).

tirupath-qti · 2026-01-06T18:47:42Z

Edward Chen (@edgchen1) and devang-ml
Could you please merge this PR.

- Also fix unit test failure.

tirupath-qti · 2026-01-15T22:33:02Z

a rebase (merge) from main.

When i rebased it against code_linaro/master, i don't see any conflicts.
btw, i rebased the PR on tip and pushed.

tirupath-qti · 2026-01-15T22:34:45Z

seems code_linaro mirror has some delay.
btw i resolved the conflict from github interface and rebased the PR.

could you please trigger CI.

Dmitri Smirnov (yuslepukhin) · 2026-01-15T22:50:00Z

/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU CUDA CI Pipeline, Windows GPU DML CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows OpenVINO CI Pipeline, Windows x64 QNN CI Pipeline

azure-pipelines · 2026-01-15T22:50:20Z

Azure Pipelines successfully started running 4 pipeline(s).

Dmitri Smirnov (yuslepukhin)

Dmitri Smirnov (yuslepukhin) · 2026-01-15T23:21:32Z

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline

azure-pipelines · 2026-01-15T23:21:49Z

Azure Pipelines successfully started running 4 pipeline(s).

Edward Chen (edgchen1) · 2026-01-15T23:47:08Z

/azp run Windows ARM64 QNN CI Pipeline

azure-pipelines · 2026-01-15T23:47:17Z

Azure Pipelines successfully started running 1 pipeline(s).

### 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> Signed-off-by: bfilipek <bartlomiej.filipek@intel.com> Signed-off-by: dependabot[bot] <support@github.com> Signed-off-by: Jonathan Clohessy <jonathan.clohessy@arm.com> Signed-off-by: Christian Bourjau <christian.bourjau@quantco.com> Signed-off-by: melkap01 <melike.kaptan@arm.com> Co-authored-by: vraspar <vrajang@outlook.com> Co-authored-by: tirupath-qti <tirupath@qti.qualcomm.com> Co-authored-by: Ashwath Shankarnarayan <ashwshan@qti.qualcomm.com> Co-authored-by: Liqun Fu <liqun.fu@microsoft.com> Co-authored-by: carzh <wolfivyaura@gmail.com> Co-authored-by: Hector Li <hecli@microsoft.com> Co-authored-by: carzh <carolinezhu@microsoft.com> Co-authored-by: Vrajang Parikh <vrparikh@microsoft.com> Co-authored-by: Hariharan Seshadri <shariharan91@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: Yuduo Wu <yuduow@qti.qualcomm.com> Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com> Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com> Co-authored-by: jatinwadhwa921 <110383850+jatinwadhwa921@users.noreply.github.com> Co-authored-by: jatinwadhwa921 <jatin.wadhwa@intel.com> Co-authored-by: saurabh <saurabh1.kale@intel.com> Co-authored-by: Ankit Maheshkar <ankit.maheshkar@intel.com> Co-authored-by: sfatimar <sahar.fatima@intel.com> Co-authored-by: Javier Martinez <javier.e.martinez@intel.com> Co-authored-by: Bartlomiej Filipek <bartlomiej.filipek@intel.com> Co-authored-by: bopeng1234 <bo.peng@intel.com> Co-authored-by: Eric Crawford <eric.r.crawford@intel.com> Co-authored-by: MayureshV1 <47039074+MayureshV1@users.noreply.github.com> Co-authored-by: TejalKhade28 <tejal.khade@intel.com> Co-authored-by: Vishnudas Thaniel S <vishnudas.thaniel.s@intel.com> Co-authored-by: Yaru Du <yaru.du@intel.com> Co-authored-by: Ryan Metcalfe <107415876+RyanMetcalfeInt8@users.noreply.github.com> Co-authored-by: Dvoretckii, Mikhail <mikhail.dvoretckii@intel.com> Co-authored-by: Pallavi Gupta <pallavi.gupta@intel.com> Co-authored-by: Jianhui Dai <jianhui.j.dai@intel.com> Co-authored-by: Jiajia Qin <jiajiaqin@microsoft.com> Co-authored-by: Changming Sun <chasun@microsoft.com> Co-authored-by: Fei Chen <feich@microsoft.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Akupadhye <aupadhye@qti.qualcomm.com> Co-authored-by: Wang Ning <ning4.wang@intel.com> Co-authored-by: Maximilian Müller <44298237+gedoensmax@users.noreply.github.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com> Co-authored-by: George Wu <jywu@microsoft.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Wanming Lin <wanming.lin@intel.com> Co-authored-by: quic-calvnguy <quic_calvnguy@quicinc.com> Co-authored-by: Jie Chen <jie.a.chen@intel.com> Co-authored-by: xhcao <xinghua.cao@intel.com> Co-authored-by: Wei-Sheng Chin <wschin@outlook.com> Co-authored-by: quic-hungjuiw <quic_hungjuiw@quicinc.com> Co-authored-by: Ian Hunter <ianfhunter@gmail.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com> Co-authored-by: Jeff Kilpatrick <jkilpatrick@qti.qualcomm.com> Co-authored-by: Jeff Kilpatrick <jkilpat@qti.qualcomm.com> Co-authored-by: Scott McKay <skottmckay@gmail.com> Co-authored-by: Nenad Banfic <46795300+nenad1002@users.noreply.github.com> Co-authored-by: derdeljan-msft <derdeljan@microsoft.com> Co-authored-by: n1harika <niharika.sathish@intel.com> Co-authored-by: Ryan Metcalfe <ryan.metcalfe@intel.com> Co-authored-by: Jaswanth Gannamaneni <jaswanth.gannamaneni@intel.com> Co-authored-by: Klimenko, Mikhail <mikhail.klimenko@intel.com> Co-authored-by: liang <gxgaoliang@126.com> Co-authored-by: Garth Long <garth.long@intel.com> Co-authored-by: Jonathan Clohessy <jonathan.clohessy@arm.com> Co-authored-by: Akshay Sonawane <111780983+apsonawane@users.noreply.github.com> Co-authored-by: Christopher Warrington <chwarr@microsoft.com> Co-authored-by: Ishwar Raut <iraut@nvidia.com> Co-authored-by: Gaurav Garg <gaugarg@nvidia.com> Co-authored-by: Xinpeng Dou <15529241576@163.com> Co-authored-by: adrastogi <aditya.rastogi@microsoft.com> Co-authored-by: Aditya Rastogi <adityar@ntdev.microsoft.com> Co-authored-by: qti-hungjuiw <hungjuiw@qti.qualcomm.com> Co-authored-by: Pradeep Sakhamoori <psakhamoori@microsoft.com> Co-authored-by: Adam Pocock <adam.pocock@oracle.com> Co-authored-by: mingyue <131847423+mingyueliuh@users.noreply.github.com> Co-authored-by: Susanta Bhattacharjee <susanta.bhattacharjee@intel.com> Co-authored-by: Jozef Wludzik <jozef.wludzik@intel.com> Co-authored-by: Rajeev Sekar <rajeevsekar21@gmail.com> Co-authored-by: Mayuresh M Varerkar <mayuresh.m.varerkar@intel.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: Wenqin Yang <wenqin.yang@intel.com> Co-authored-by: xieofxie <xieofxie@126.com> Co-authored-by: hualxie <hualxie@microsoft.com> Co-authored-by: Joshua Lochner <admin@xenova.com> Co-authored-by: Christian Bourjau <cbourjau@users.noreply.github.com> Co-authored-by: Xiaofei Han <xiaofeihan@microsoft.com> Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com> Co-authored-by: chunghow-qti <chunghow@qti.qualcomm.com> Co-authored-by: Guenther Schmuelling <guschmue@microsoft.com> Co-authored-by: Jiawei Shao <jiawei.shao@intel.com> Co-authored-by: czekun <chen.zekun@intel.com> Co-authored-by: Jaskaran Singh Nagi <jaskaran.singh.nagi@intel.com> Co-authored-by: quic-tirupath <quic_tirupath@quicinc.com> Co-authored-by: qti-mattsinc <mattsinc@qti.qualcomm.com> Co-authored-by: Melike Kaptan <melike.kaptan@arm.com> Co-authored-by: Damien Dooley <damien.dooley@arm.com> Co-authored-by: qti-vaiskv <vaiskv@qti.qualcomm.com> Co-authored-by: Rohanjames1997 <rohan.james4@gmail.com> Co-authored-by: eserscor <erscor@microsoft.com> Co-authored-by: eserscor <247253654+eserscor@users.noreply.github.com> Co-authored-by: Nick Eubanks <nieubank@microsoft.com> Co-authored-by: adrastogi <8368026+adrastogi@users.noreply.github.com> Co-authored-by: Rohanjames1997 <rohanjms@amazon.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>

Jambay Kinley (jambayk) reviewed Oct 17, 2025

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Comment thread onnxruntime/core/providers/qnn/builder/op_builder_factory.cc

Edward Chen (edgchen1) reviewed Oct 17, 2025

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Comment thread onnxruntime/core/providers/qnn/builder/qnn_utils.cc Outdated

Edward Chen (edgchen1) reviewed Oct 17, 2025

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Edward Chen (edgchen1) reviewed Oct 20, 2025

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John Paul (johnpaultaken) approved these changes Nov 19, 2025

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Edward Chen (edgchen1) reviewed Nov 20, 2025

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Edward Chen (edgchen1) added the ep:QNN issues related to QNN exeution provider label Dec 12, 2025

quic-tirupath force-pushed the dev/tirupath/matmulnbits_gpu branch from e83f6e5 to b654efe Compare December 13, 2025 02:48

Edward Chen (edgchen1) reviewed Dec 16, 2025

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tirupath-qti force-pushed the dev/tirupath/matmulnbits_gpu branch from b654efe to c40029e Compare December 18, 2025 06:28

Edward Chen (edgchen1) reviewed Jan 8, 2026

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Comment thread onnxruntime/core/providers/qnn/builder/qnn_utils.cc Outdated

Comment thread onnxruntime/test/contrib_ops/matmul_4bits_test.cc Outdated

quic-tirupath and others added 8 commits January 15, 2026 14:31

[QNN Ep] Fix minor issues in MatMulNBits translation for GPU

5546791

[QNN EP] Fix overflow and type casting issues

2d6ced3

Fix variable name

a4d710c

Fix bias input exist check in MatMulNBits op builder

3c04545

fix review comments

010ee59

Fix the copilot suggestion

df39d49

update unique_ptr to be of type uint32_t and Qnn_ScaleOffset_t

374aae2

- Also fix unit test failure.

Add additional check on input configuration

9a8747f

tirupath-qti force-pushed the dev/tirupath/matmulnbits_gpu branch from 6c3325e to 9a8747f Compare January 15, 2026 22:32

Merge branch 'main' into dev/tirupath/matmulnbits_gpu

736855a

tirupath-qti dismissed Edward Chen (edgchen1)’s stale review via 736855a January 15, 2026 22:33

Dmitri Smirnov (yuslepukhin) approved these changes Jan 15, 2026

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Dmitri Smirnov (yuslepukhin) enabled auto-merge (squash) January 15, 2026 22:54

Dmitri Smirnov (yuslepukhin) merged commit ba11af4 into microsoft:main Jan 16, 2026
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This was referenced Jan 21, 2026

1.24.0 release cherry-pick round 1 #27103

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1.24.0 release cherry-pick round 1 #27104

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Tianlei Wu (tianleiwu) added cherry-picked Cherry-picked for a cherrypicks branch and removed release:1.24.0 labels Jan 23, 2026

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