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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ParserHelper.hpp"
// armnnUtils
#include "Permute.hpp"
#include <boost/format.hpp>
namespace armnnUtils
{
const armnn::PermutationVector NHWCToArmNN = { 0, 2, 3, 1 };
const armnn::PermutationVector ArmNNToNHWC = { 0, 3, 1, 2 };
void ProcessConcatInputTensorInfo(armnn::TensorInfo& inputTensorInfo, armnn::OriginsDescriptor& concatDescriptor,
const unsigned int& concatAxis, unsigned int inputIndex,
std::vector<unsigned int>& mergeDimSizes, unsigned int& mergeDim)
{
// double check dimensions of the tensors
if (inputTensorInfo.GetNumDimensions() != armnn::MaxNumOfTensorDimensions)
{
throw armnn::ParseException(
boost::str(
boost::format(
"The number of dimensions: %1% for input tensors of the "
"concatenation op should be %2% %3%")
% inputTensorInfo.GetNumDimensions()
% armnn::MaxNumOfTensorDimensions
% CHECK_LOCATION().AsString()));
}
// if concatenation axis is 3 then need to be permuted
if (concatAxis == 3)
{
inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NHWCToArmNN);
}
for (unsigned int dim = 0; dim < armnn::MaxNumOfTensorDimensions; ++dim)
{
mergeDimSizes[dim] = inputTensorInfo.GetShape()[dim];
}
// Concatenation dimension 1 is the only dimension supported in ArmNN
const unsigned int concatenationDim = 1;
for (unsigned int j = 0; j < concatenationDim; ++j)
{
concatDescriptor.SetViewOriginCoord(inputIndex, j, 0);
}
concatDescriptor.SetViewOriginCoord(inputIndex, concatenationDim, mergeDim);
mergeDim += mergeDimSizes[concatenationDim];
for (unsigned int j = concatenationDim + 1; j < armnn::MaxNumOfTensorDimensions; ++j)
{
concatDescriptor.SetViewOriginCoord(inputIndex, j, 0);
}
}
void CalculateReducedOutputTensoInfo(const armnn::TensorInfo& inputTensorInfo, const armnn::TensorInfo& axisTensorInfo,
const std::set<unsigned int>& axisSet, bool keepDims,
armnn::TensorInfo& outputTensorInfo)
{
std::vector<unsigned int> outputShapeVector;
bool dimensionFound = false;
unsigned int size = 1;
for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); ++i)
{
dimensionFound = false;
for (unsigned int axis: axisSet)
{
if (axis == i)
{
dimensionFound = true;
break;
}
}
if (!dimensionFound)
{
size *= inputTensorInfo.GetShape()[i];
if (keepDims)
{
outputShapeVector.push_back(inputTensorInfo.GetShape()[i]);
}
}
else
{
if (keepDims)
{
outputShapeVector.push_back(1);
}
}
}
if (keepDims)
{
armnn::TensorShape outputTensorShape(inputTensorInfo.GetNumDimensions(), &outputShapeVector[0]);
outputTensorInfo = armnn::TensorInfo(outputTensorShape, inputTensorInfo.GetDataType());
}
else
{
outputTensorInfo = armnn::TensorInfo({size}, inputTensorInfo.GetDataType());
}
}
} // namespace armnnUtils
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