onnxruntime/winml/lib/Api.Experimental/LearningModelOperator.cpp

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Add LearningModelBuilder to WinML Experimental Namespace along with various Audio operators (#6623) * 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>
2021-02-12 22:17:10 +00:00
#include "pch.h"
#include "LearningModelOperator.h"
namespace WINML_EXPERIMENTALP {
static uint32_t c_operator_index = 0;
LearningModelOperator::LearningModelOperator(hstring const& type) :
LearningModelOperator(type, L"")
{}
LearningModelOperator::LearningModelOperator(hstring const& type, hstring const& domain) :
type_(type),
domain_(domain) {
constant_input_mapping_ = winrt::single_threaded_map<winrt::hstring, wf::IInspectable>();
input_mapping_ = winrt::single_threaded_map<winrt::hstring, winrt::hstring>();
output_mapping_ = winrt::single_threaded_map<winrt::hstring, winrt::hstring>();
attribute_values_ = winrt::single_threaded_map<winrt::hstring, wf::IInspectable>();
SetName(L"");
}
winml_experimental::LearningModelOperator LearningModelOperator::SetName(hstring const& name) {
if (name.empty()) {
std::wostringstream name_stream;
name_stream << type_.c_str() << "_" << c_operator_index++;
name_ = name_stream.str().c_str();
} else {
name_ = name;
}
return *this;
}
winml_experimental::LearningModelOperator LearningModelOperator::SetInput(
hstring const& operator_input_name, hstring const& input_name) {
// TODO Validate against allowed operator input NAMES. The types are not deduced.
input_mapping_.Insert(operator_input_name, input_name);
return *this;
}
winml_experimental::LearningModelOperator LearningModelOperator::SetConstant(
hstring const& operator_input_name, wf::IInspectable const& value) {
// TODO Validate against allowed operator input NAMES. The types are not deduced.
auto constant_name = name_ + L"." + operator_input_name;
input_mapping_.Insert(operator_input_name, constant_name);
constant_input_mapping_.Insert(constant_name, value);
return *this;
}
winml_experimental::LearningModelOperator LearningModelOperator::SetOutput(
hstring const& operator_output_name, hstring const& output_name) {
// TODO Validate against allowed operator output NAMES. The types are not deduced.
output_mapping_.Insert(operator_output_name, output_name);
return *this;
}
winml_experimental::LearningModelOperator LearningModelOperator::SetAttribute(
hstring const& name, Windows::Foundation::IInspectable const& value) {
attribute_values_.Insert(name, value);
return *this;
}
hstring LearningModelOperator::Name() {
return name_;
}
hstring LearningModelOperator::Type() {
return type_;
}
hstring LearningModelOperator::Domain() {
return domain_;
}
wfc::IMap<winrt::hstring, winrt::hstring> LearningModelOperator::InputMapping(){
return input_mapping_;
}
wfc::IMap<winrt::hstring, wf::IInspectable> LearningModelOperator::ConstantInputMapping() {
return constant_input_mapping_;
}
wfc::IMap<winrt::hstring, winrt::hstring> LearningModelOperator::OutputMapping() {
return output_mapping_;
}
wfc::IMap<winrt::hstring, wf::IInspectable> LearningModelOperator::AttributeMap() {
return attribute_values_;
}
} // namespace WINML_EXPERIMENTALP