[QNN-EP] Translate FP-to-Bool Cast by NotEqual.#24466
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adrianlizarraga merged 1 commit intomicrosoft:mainfrom Apr 21, 2025
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[QNN-EP] Translate FP-to-Bool Cast by NotEqual.#24466adrianlizarraga merged 1 commit intomicrosoft:mainfrom
adrianlizarraga merged 1 commit intomicrosoft:mainfrom
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@microsoft-github-policy-service agree company="Qualcomm" |
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/azp run Linux QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows ARM64 QNN CI Pipeline,Linux Android Emulator QNN CI Pipeline |
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Azure Pipelines successfully started running 4 pipeline(s). |
HectorSVC
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Apr 18, 2025
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please fix the Windows build error and code format issue |
HTP currently does not support FP-to-Bool Cast due to some limitations. To unblock CLIP models, replace such Cast with NotEqual to achieve the same functionality. Test: Add UT testcase for FP/FP16 to Bool.
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jywu-msft
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Apr 21, 2025
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/azp run Linux QNN CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows x64 QNN CI Pipeline |
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Azure Pipelines successfully started running 5 pipeline(s). |
adrianlizarraga
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Apr 21, 2025
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/azp run web_Debug / build_onnxruntime_web, web_Release / build_onnxruntime_web |
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No pipelines are associated with this pull request. |
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/azp run "web_Debug / build_onnxruntime_web", "web_Release / build_onnxruntime_web" |
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Hi @vraspar FYI, to be cherry-picked for ORT 1.22.0 |
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### Description Removes unnecessary std::move on an r-value expression. This caused a compiler warning/error in the Linux Android QNN pipeline. ### Motivation and Context Introduced by PR: #24466
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### Description <!-- Describe your changes. --> For QNN-EP, build FP-to-Bool Cast into NotEqual. ### 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. --> HTP currently does not support FP-to-Bool Cast due to some limitations. To unblock CLIP models, replace such Cast with NotEqual to achieve the same functionality. Co-authored-by: minfhong-quic <[email protected]> Signed-off-by: bfilipek <[email protected]>
intbf
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Apr 25, 2025
…#24493) ### Description Removes unnecessary std::move on an r-value expression. This caused a compiler warning/error in the Linux Android QNN pipeline. ### Motivation and Context Introduced by PR: microsoft#24466 Signed-off-by: bfilipek <[email protected]>
vraspar
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### Description <!-- Describe your changes. --> For QNN-EP, build FP-to-Bool Cast into NotEqual. ### 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. --> HTP currently does not support FP-to-Bool Cast due to some limitations. To unblock CLIP models, replace such Cast with NotEqual to achieve the same functionality. Co-authored-by: minfhong-quic <[email protected]>
vraspar
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Apr 28, 2025
### Description Removes unnecessary std::move on an r-value expression. This caused a compiler warning/error in the Linux Android QNN pipeline. ### Motivation and Context Introduced by PR: #24466
jywu-msft
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Apr 30, 2025
### Description Cherry pick the following into [rel-1.22.0](https://github.com/microsoft/onnxruntime/tree/rel-1.22.0) - (#24487) - (#24466) - (#24493) - (#24484) - (#24494) - (#24489) - (#24504) - (#24510) - (#24456) - (#24537) - (#24501) - (#24519) - (#24513) - (#24539) - (#24514) - (#24542) - (#24585) Not added: Planning to cherry pick Cuda Matmulnbits PRs once the fix for failing cuda pipeline is ready - (#24491) - (#24509) - (#24564) --------- Co-authored-by: Adrian Lizarraga <[email protected]> Co-authored-by: minfhong-quic <[email protected]> Co-authored-by: minfhong-quic <[email protected]> Co-authored-by: Justin Chu <[email protected]> Co-authored-by: Prathik Rao <[email protected]> Co-authored-by: Edward Chen <[email protected]> Co-authored-by: Ankan Banerjee <[email protected]> Co-authored-by: Maximilian Müller <[email protected]> Co-authored-by: Gaurav Garg <[email protected]> Co-authored-by: iraut <[email protected]> Co-authored-by: Hrishikesh Manohar <[email protected]> Co-authored-by: Maximilian Müller <[email protected]> Co-authored-by: Scott McKay <[email protected]> Co-authored-by: Jiajia Qin <[email protected]> Co-authored-by: kunal-vaishnavi <[email protected]> Co-authored-by: xhcao <[email protected]>
jatinwadhwa921
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Apr 30, 2025
### Description Cherry pick the following into [rel-1.22.0](https://github.com/microsoft/onnxruntime/tree/rel-1.22.0) - (microsoft#24487) - (microsoft#24466) - (microsoft#24493) - (microsoft#24484) - (microsoft#24494) - (microsoft#24489) - (microsoft#24504) - (microsoft#24510) - (microsoft#24456) - (microsoft#24537) - (microsoft#24501) - (microsoft#24519) - (microsoft#24513) - (microsoft#24539) - (microsoft#24514) - (microsoft#24542) - (microsoft#24585) Not added: Planning to cherry pick Cuda Matmulnbits PRs once the fix for failing cuda pipeline is ready - (microsoft#24491) - (microsoft#24509) - (microsoft#24564) --------- Co-authored-by: vraspar <[email protected]> Co-authored-by: Adrian Lizarraga <[email protected]> Co-authored-by: minfhong-quic <[email protected]> Co-authored-by: minfhong-quic <[email protected]> Co-authored-by: Justin Chu <[email protected]> Co-authored-by: Prathik Rao <[email protected]> Co-authored-by: Edward Chen <[email protected]> Co-authored-by: Ankan Banerjee <[email protected]> Co-authored-by: Maximilian Müller <[email protected]> Co-authored-by: Gaurav Garg <[email protected]> Co-authored-by: iraut <[email protected]> Co-authored-by: Hrishikesh Manohar <[email protected]> Co-authored-by: Maximilian Müller <[email protected]> Co-authored-by: Scott McKay <[email protected]> Co-authored-by: Jiajia Qin <[email protected]> Co-authored-by: kunal-vaishnavi <[email protected]> Co-authored-by: xhcao <[email protected]>
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Description
For QNN-EP, build FP-to-Bool Cast into NotEqual.
Motivation and Context
HTP currently does not support FP-to-Bool Cast due to some limitations. To unblock CLIP models, replace such Cast with NotEqual to achieve the same functionality.