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* Dynamic onnx model fusion * empty node names shoudl remain empty * comments and cleanup * logic reversed for promoting_unlined_outputs * PR feedback * type * typo * fix model outputs with promote unlinked output * remove disembodied model Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
32 lines
1.2 KiB
C++
32 lines
1.2 KiB
C++
#include "lib/Api.Experimental/pch/pch.h"
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#include "LearningModelExperimental.h"
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#include "LearningModel.h"
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#include "LearningModelJoinOptions.h"
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namespace WINML_EXPERIMENTALP {
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LearningModelExperimental::LearningModelExperimental(Microsoft::AI::MachineLearning::LearningModel const& model) : model_(model)
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{}
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winml::LearningModel LearningModelExperimental::JoinModel(winml::LearningModel const& other, winml_experimental::LearningModelJoinOptions const& options) {
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telemetry_helper.LogApiUsage("LearningModelExperimental::JoinModel");
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auto modelp = model_.as<winmlp::LearningModel>();
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auto optionsp = options.as<winml_experimentalp::LearningModelJoinOptions>();
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modelp->JoinModel(other,
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optionsp->GetLinkages(),
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optionsp->PromoteUnlinkedOutputsToFusedOutputs(),
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optionsp->CloseModelOnJoin(),
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optionsp->JoinedNodePrefix());
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return model_;
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}
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void LearningModelExperimental::Save(hstring const& file_name) {
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telemetry_helper.LogApiUsage("LearningModelExperimental::Save");
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auto modelp = model_.as<winmlp::LearningModel>();
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modelp->SaveToFile(file_name);
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}
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}
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