[MLAS/CPU EP] Improve performance of Silu activation path within the QuickGelu CPU kernel by hariharans29 · Pull Request #26753 · microsoft/onnxruntime

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@hariharans29 hariharans29 changed the title WIP: [MLAS] [DO NOT REVIEW] Implement vectorized fused Silu operation WIP: [MLAS] Improve performance of Silu activation path within the QuickGelu CPU kernel

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@hariharans29 hariharans29 changed the title WIP: [MLAS] Improve performance of Silu activation path within the QuickGelu CPU kernel WIP: [MLAS/CPU EP] Improve performance of Silu activation path within the QuickGelu CPU kernel

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@hariharans29 hariharans29 changed the title WIP: [MLAS/CPU EP] Improve performance of Silu activation path within the QuickGelu CPU kernel [MLAS/CPU EP] Improve performance of Silu activation path within the QuickGelu CPU kernel

Dec 11, 2025
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tianleiwu

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alex-spacemit pushed a commit to spacemit-com/onnxruntime that referenced this pull request

Jan 20, 2026
…QuickGelu CPU kernel (microsoft#26753)

### Description

The `Silu` activation is basically the same as `QuickGelu` but with the
scaling factor (`alpha`) as 1. In cusomer models containing `Silu`, the
graph optimizer suite correctly fuses the nodes into a QuickGelu with
alpha = 1. This optimizes the implementation of QuickGelu when alpha = 1
by avoiding the scaling and vectorizes the subsequent elementwise
multiplication.

**Tests:**
There are already tests for QuickGelu with alpha = 1 and there are no
new tests necessary
(https://github.com/microsoft/onnxruntime/blob/f98c756b45b81520c6e2a09c370575a013f02cce/onnxruntime/test/contrib_ops/activation_op_test.cc#L126)

**Performance improvements measured:**
Gives about 2.5% throughput boost for a customer model that has a lot of
Silu activations.

### Motivation and Context
Some low hanging fruit perf improvements that give instant easy perf
wins

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

tianleiwu pushed a commit that referenced this pull request

Jan 21, 2026
…QuickGelu CPU kernel (#26753)

### Description

The `Silu` activation is basically the same as `QuickGelu` but with the
scaling factor (`alpha`) as 1. In cusomer models containing `Silu`, the
graph optimizer suite correctly fuses the nodes into a QuickGelu with
alpha = 1. This optimizes the implementation of QuickGelu when alpha = 1
by avoiding the scaling and vectorizes the subsequent elementwise
multiplication.

**Tests:**
There are already tests for QuickGelu with alpha = 1 and there are no
new tests necessary
(https://github.com/microsoft/onnxruntime/blob/f98c756b45b81520c6e2a09c370575a013f02cce/onnxruntime/test/contrib_ops/activation_op_test.cc#L126)

**Performance improvements measured:**
Gives about 2.5% throughput boost for a customer model that has a lot of
Silu activations.

### Motivation and Context
Some low hanging fruit perf improvements that give instant easy perf
wins

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
(cherry picked from commit 2d2ba6b)

This was referenced

Jan 21, 2026

tianleiwu added a commit that referenced this pull request

Jan 23, 2026
### 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 |

---------

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