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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "Pad.hpp"
#include "BaseIterator.hpp"
#include "Decoders.hpp"
#include "Encoders.hpp"
#include <armnnUtils/TensorUtils.hpp>
#include <cmath>
#include <cstddef>
#include <functional>
#include <limits>
#include <cassert>
namespace
{
void FillOutputWithPadValue(armnn::Encoder<float>& outputData,
const float padValue,
const unsigned int numOutputElements)
{
for (unsigned int i = 0; i < numOutputElements; ++i)
{
outputData[i];
outputData.Set(padValue);
}
}
} // anonymous namespace
namespace armnn
{
void Pad(const TensorInfo& inputInfo,
const TensorInfo& outputInfo,
const ITensorHandle* inputHandle,
ITensorHandle* outputHandle,
const PadQueueDescriptor& data)
{
auto padList = data.m_Parameters.m_PadList;
auto padValue = data.m_Parameters.m_PadValue;
unsigned int numOutputElements = outputInfo.GetNumElements();
TensorShape outputShape = outputInfo.GetShape();
TensorShape inputShape = inputInfo.GetShape();
unsigned int numInputDimensions = inputShape.GetNumDimensions();
#ifndef NDEBUG
unsigned int numOutputDimensions = outputShape.GetNumDimensions();
assert(numInputDimensions == numOutputDimensions);
#endif
unsigned int inputBatches = 0;
unsigned int inputChannels = 0;
unsigned int inputHeight = 0;
unsigned int inputWidth = 0;
unsigned int outputChannels = 0;
unsigned int outputHeight = 0;
unsigned int outputWidth = 0;
auto inputData = MakeDecoder<float>(inputInfo, inputHandle->Map());
auto outData = MakeEncoder<float>(outputInfo, outputHandle->Map());
// Fill the output tensor with Pad value first
if (outputInfo.IsQuantized())
{
// For Quantized types Pad Value should not be quantized with scale and offset of the tensor info
auto temporaryInfo = TensorInfo(outputInfo.GetShape(), outputInfo.GetDataType(), 1.0f, 0);
auto outputData = MakeEncoder<float>(temporaryInfo, outputHandle->Map());
FillOutputWithPadValue(*outputData, padValue, numOutputElements);
}
else
{
FillOutputWithPadValue(*outData, padValue, numOutputElements);
}
Decoder<float>& input = *inputData;
Encoder<float>& output = *outData;
switch(numInputDimensions) {
case 1:
inputWidth = inputShape[0];
for (unsigned int w = 0; w < inputWidth ; w++)
{
input[w];
auto inputValue = input.Get();
auto outputIndex = w + std::get<0>(padList[0]);
output[outputIndex];
output.Set(inputValue);
}
break;
case 2 :
inputHeight = inputShape[0];
inputWidth = inputShape[1];
outputWidth = outputShape[1];
for (unsigned int h = 0; h < inputHeight; h++)
{
for (unsigned int w = 0; w < inputWidth ; w++)
{
input[h * inputWidth + w];
auto inputValue = input.Get();
auto outputIndex = (h + std::get<0>(padList[0])) * outputWidth + (w + std::get<0>(padList[1]));
output[outputIndex];
output.Set(inputValue);
}
}
break;
case 3 :
inputChannels = inputShape[0];
inputHeight = inputShape[1];
inputWidth = inputShape[2];
outputHeight = outputShape[1];
outputWidth = outputShape[2];
for (unsigned int c = 0; c < inputChannels; c++)
{
for (unsigned int h = 0; h < inputHeight; h++)
{
for (unsigned int w = 0; w < inputWidth ; w++)
{
input[c * inputHeight * inputWidth + h * inputWidth + w];
auto inputValue = input.Get();
auto outputIndex = (c + std::get<0>(padList[0])) * outputHeight * outputWidth
+ (h + std::get<0>(padList[1])) * outputWidth
+ (w + std::get<0>(padList[2]));
output[outputIndex];
output.Set(inputValue);
}
}
}
break;
case 4 :
inputBatches = inputShape[0];
inputChannels = inputShape[1];
inputHeight = inputShape[2];
inputWidth = inputShape[3];
outputChannels = outputShape[1];
outputHeight = outputShape[2];
outputWidth = outputShape[3];
for (unsigned int b = 0; b < inputBatches; b++)
{
for (unsigned int c = 0; c < inputChannels; c++)
{
for (unsigned int h = 0; h < inputHeight; h++)
{
for (unsigned int w = 0; w < inputWidth ; w++)
{
input[b * inputChannels * inputHeight * inputWidth
+ c * inputHeight * inputWidth
+ h * inputWidth
+ w];
auto inputValue = input.Get();
auto outputIndex = (b + std::get<0>(padList[0]))
* outputChannels * outputHeight * outputWidth
+ (c + std::get<0>(padList[1])) * outputHeight * outputWidth
+ (h + std::get<0>(padList[2])) * outputWidth
+ (w + std::get<0>(padList[3]));
output[outputIndex];
output.Set(inputValue);
}
}
}
}
break;
default :
break;
}
}
} //namespace armnn
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