mirror of
https://github.com/saymrwulf/onnxruntime.git
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87cb6fd495
* model building * fix build * winml adapter model building api * model building * make build * make build again * add model building with audio op * inplace and inorder fft * add ifft * works! * cleanup * add comments * switch to iterative rather than recursive and use parallelization * batched parallelization * fft->dft * cleanup * window functions * add melweightmatrix op * updates to make spectrogram test work * push latest * add onesided * cleanup * Clean up building apis and fix mel * cleanup * cleanup * naive stft * fix test output * middle c complete * 3 tones * cleanup * signal def new line * Add save functionality * Perf improvements, 10x improvement * cleanup * use bitreverse lookup table for performance * implement constant initializers for tensors * small changes * add matmul tests * merge issues * support add attribute * add tests for double data type windowfunctions and minor cleanup * stft onesided/and not tests * cleanup * cleanup * clean up * cleanup * remove threading attribute * forward declare orttypeinfo * warnings * fwd declare * fix warnings * 1 more warning * remove saving to e drive... * cleanup and fix stft test * add opset picker * small additions * add onnxruntime tests * add signed/unsigned * fix warning * fix warning * finish onnxruntime tests * make windows namespace build succeed * add experimental flag * add experimental api into nuget package * add experimental api build flag and add to windows ai nuget package * turn experimental for tests * add minimum opset version to new experimental domain * api cleanup * disable ms experimental ops test when --ms_experimental is not enabled * add macro behind flag * remove unused x * pr feedback Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
25 lines
931 B
C++
25 lines
931 B
C++
#include "pch.h"
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#include "LearningModelOutputs.h"
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#include "LearningModelBuilder.h"
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#include "TensorFeatureDescriptor.h"
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namespace WINML_EXPERIMENTALP
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{
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LearningModelOutputs::LearningModelOutputs(winml_experimental::LearningModelBuilder builder) :
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builder_(builder),
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output_descriptors_(winrt::single_threaded_vector<winml::ILearningModelFeatureDescriptor>()) {
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}
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winml_experimental::LearningModelBuilder LearningModelOutputs::Add(winml::ILearningModelFeatureDescriptor const& output)
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{
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// Perform model update inside the builder
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auto model = builder_.as<winml_experimentalp::LearningModelBuilder>()->UseModel();
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auto descriptor_provider = output.as<_winml::IDescriptorInfoProvider>();
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auto name = _winml::Strings::UTF8FromHString(output.Name());
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model->AddModelOutput(name.c_str(), descriptor_provider.get());
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output_descriptors_.Append(output);
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return builder_;
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}
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} // namespace WINML_EXPERIMENTALP
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