[webgpu] Manually normalize Conv-Transpose dispatch group size for Intel GPUs - #25908
Merged
Conversation
Conv-Transpose dispatch group sizeConv-Transpose dispatch group size on Intel GPUs
Conv-Transpose dispatch group size on Intel GPUsConv-Transpose dispatch group size for Intel GPUs
Contributor
Author
qjia7
reviewed
Sep 2, 2025
guschmue
approved these changes
Sep 15, 2025
Contributor
Author
|
Looks like a network issue on the CI server. |
Contributor
|
/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 successfully started running 4 pipeline(s). |
Contributor
Author
|
@guschmue could you pls apply this PR? |
Contributor
|
sure |
guschmue
approved these changes
Sep 25, 2025
fs-eire
pushed a commit
that referenced
this pull request
Oct 24, 2025
…Intel GPUs (#25908) ### Description This PR improves the performance of `Conv-Transpose` by ~12x on Lunar Lake. For a specific shape: (3, 3, 2560, 1280), the default normalization produced a dispatch group size of (679, 679, 1) resulted in extremely slow performance on LNL (likely due to a driver issue). By manually normalize the dispatch group size to (5, 640, 160), we achieve a significant ~12x performance improvement on LNL. ### Motivation and Context See above. Co-authored-by: Yang, Wenqin <wenqin.yang@intel.com>
naomiOvad
pushed a commit
to naomiOvad/onnxruntime
that referenced
this pull request
Nov 2, 2025
…Intel GPUs (microsoft#25908) ### Description This PR improves the performance of `Conv-Transpose` by ~12x on Lunar Lake. For a specific shape: (3, 3, 2560, 1280), the default normalization produced a dispatch group size of (679, 679, 1) resulted in extremely slow performance on LNL (likely due to a driver issue). By manually normalize the dispatch group size to (5, 640, 160), we achieve a significant ~12x performance improvement on LNL. ### Motivation and Context See above. Co-authored-by: Yang, Wenqin <wenqin.yang@intel.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
This PR improves the performance of
Conv-Transposeby ~12x on Lunar Lake.For a specific shape: (3, 3, 2560, 1280), the default normalization produced a dispatch group size of (679, 679, 1) resulted in extremely slow performance on LNL (likely due to a driver issue). By manually normalize the dispatch group size to (5, 640, 160), we achieve a significant ~12x performance improvement on LNL.
Motivation and Context
See above.
Co-authored-by: Yang, Wenqin wenqin.yang@intel.com