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// Copyright (C) 2018-2019 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "ext_list.hpp"
#include "ext_base.hpp"
#include <cmath>
#include <string>
#include <vector>
namespace InferenceEngine {
namespace Extensions {
namespace Cpu {
class PowerFileImpl: public ExtLayerBase {
public:
explicit PowerFileImpl(const CNNLayer* layer) {
try {
if (layer->insData.size() != 1 || layer->outData.empty())
THROW_IE_EXCEPTION << "Incorrect number of input/output edges!";
// TODO: load this from some file or as blob?
shift_.push_back(1);
shift_.push_back(0);
shift_.push_back(0);
shift_.push_back(0);
shift_.push_back(1);
shift_.push_back(0);
addConfig(layer, {DataConfigurator(ConfLayout::PLN)}, {DataConfigurator(ConfLayout::PLN)});
} catch (InferenceEngine::details::InferenceEngineException &ex) {
errorMsg = ex.what();
}
}
StatusCode execute(std::vector<Blob::Ptr>& inputs, std::vector<Blob::Ptr>& outputs,
ResponseDesc *resp) noexcept override {
if (inputs.size() != 1 || outputs.empty()) {
if (resp) {
std::string errorMsg = "Incorrect number of input or output edges!";
errorMsg.copy(resp->msg, sizeof(resp->msg) - 1);
}
return GENERAL_ERROR;
}
float* src_data = inputs[0]->buffer();
float* dst_data = outputs[0]->buffer();
for (size_t i = 0; i < inputs[0]->size(); i++) {
size_t shift_idx = i % shift_.size();
dst_data[i] = src_data[i] + shift_[shift_idx];
}
return OK;
}
private:
std::vector<int> shift_;
};
REG_FACTORY_FOR(ImplFactory<PowerFileImpl>, PowerFile);
} // namespace Cpu
} // namespace Extensions
} // namespace InferenceEngine
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