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// Copyright (C) 2018 Intel Corporation
//
// SPDX-License-Identifier: Apache-2.0
//
#include <algorithm>
#include <map>
#include <vector>
#include <string>
#include "ie_layers_internal.hpp"
namespace InferenceEngine {
Paddings getConvPaddings(const ConvolutionLayer &convLayer) {
std::string errorPrefix = "Failed to calculate padding for Convolution: ";
const std::map<std::string, std::string> ¶ms = convLayer.params;
const std::vector<DataWeakPtr> &insData = convLayer.insData;
try {
auto it = params.find("auto_pad");
std::string padType;
if (it != params.end()) {
if (it->second == "valid") {
return {PropertyVector<unsigned>(2, 0), PropertyVector<unsigned>(2, 0)};
} else {
if (insData.size() != 1) THROW_IE_EXCEPTION << "number of inputs should be equal 1";
auto firstInput = insData[0].lock();
if (!firstInput) THROW_IE_EXCEPTION << "input is empty";
auto shape = firstInput->getTensorDesc().getDims();
if (shape.size() != 4) THROW_IE_EXCEPTION << "input shape must be 4D";
int SH = convLayer._stride[Y_AXIS];
int SW = convLayer._stride[X_AXIS];
int IH = shape[2];
int IW = shape[3];
int KH = 0, KW = 0;
if (convLayer._dilation[Y_AXIS])
KH = (convLayer._kernel[Y_AXIS] - 1) * convLayer._dilation[Y_AXIS] + 1;
else
KH = convLayer._kernel[Y_AXIS];
if (convLayer._dilation[X_AXIS])
KW = (convLayer._kernel[X_AXIS] - 1) * convLayer._dilation[X_AXIS] + 1;
else
KW = convLayer._kernel[X_AXIS];
int PAH, PAW;
if (IH % SH == 0) {
PAH = std::max(KH - SH, 0);
} else {
PAH = std::max(KH - (IH % SH), 0);
}
if (IW % SW == 0) {
PAW = std::max(KW - SW, 0);
} else {
PAW = std::max(KW - (IW % SW), 0);
}
unsigned top = PAH / 2;
unsigned bottom = PAH - top;
unsigned left = PAW / 2;
unsigned right = PAW - left;
PropertyVector<unsigned int> pad_begin;
pad_begin.insert(X_AXIS, left);
pad_begin.insert(Y_AXIS, top);
PropertyVector<unsigned int> pad_end;
pad_end.insert(X_AXIS, right);
pad_end.insert(Y_AXIS, bottom);
return {pad_begin, pad_end};
}
}
return {convLayer._padding, convLayer._pads_end};
} catch (const InferenceEngine::details::InferenceEngineException &iee) {
THROW_IE_EXCEPTION << errorPrefix << iee.what();
}
}
} // namespace InferenceEngine
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