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outputRange.hpp 2.18 KiB
/**
* \file execTime.hpp
* \brief execTime structure
* \version file 1.0.0
* \date Creation 27 June 2023
* \date 27 June 2023
* \par ChangeLog
* \par
* v1.0.0, 27 June 2023<br>
* - Initial version.
* \author ik243221
* \copyright
* Copyright (c) 2023 CEA, LIST, Embedded Artificial Intelligence Laboratory. All
* rights reserved.
*/
#ifndef AIDGE_CORE_HOOK_OUTPUTRANGE_H_
#define AIDGE_CORE_HOOK_OUTPUTRANGE_H_
#include "aidge/operator/Operator.hpp"
#include "aidge/hook/hook.hpp"
#include <memory>
#include <chrono>
#include <vector>
#include <cmath>
namespace Aidge {
class OutputRange : public Hook {
private:
std::vector<float> registeredOutputs = std::vector<float>();
public:
OutputRange(const std::shared_ptr<Operator> op) : Hook(op) {}
~OutputRange() = default;
void call() override final {
//std::cout << "call() outputRange hook " << std::endl;
//this assumes there is only 1 output possible
std::shared_ptr<Tensor> tensor = mOperator->getOutput(0);
//tensor->print();
//std::cout << "call() outputRange hook : tensor printed" << std::endl;
float max_value = 0.;
float * casted_tensor = static_cast<float *>(tensor->getImpl()->rawPtr());
//find the absolute max value in the tensor, save it to registered outputs
for(std::size_t i = 0; i < tensor->size(); ++i) {
//std::cout << "call() outputRange hook : casted_tensor[i] = " << casted_tensor[i] << std::endl;
if(std::abs(casted_tensor[i]) > max_value){
max_value = std::abs(casted_tensor[i]);
}
}
//std::cout << "call() outputRange hook : max_value = " << max_value << std::endl;
registeredOutputs.push_back(max_value);
}
static std::shared_ptr<OutputRange> create(const std::shared_ptr<Operator> op)
{
return std::make_shared<OutputRange>(op);
}
std::vector<float> getOutputs() {
return registeredOutputs;
}
float getOutput(size_t idx) {
return registeredOutputs[idx];
}
};
namespace {
static Registrar<Hook> registrarHook_OutputRange({"output_range"}, Aidge::OutputRange::create);
}
}
#endif /* outputRange_H_ */