TensorUtils.hpp

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//
// Copyright © 2018-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#pragma once
 
#include <armnn/TypesUtils.hpp>
#include <armnn/Tensor.hpp>
#include <armnn/Types.hpp>
#include <armnnUtils/TensorUtils.hpp>
#include <utility>
#include <vector>
 
namespace armnn
{
class ITensorHandle;
}  // namespace armnn
 
namespace armnnUtils
{
armnn::TensorShape GetTensorShape(unsigned int numberOfBatches,
                                  unsigned int numberOfChannels,
                                  unsigned int height,
                                  unsigned int width,
                                  const armnn::DataLayout dataLayout);
 
armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches,
                                unsigned int numberOfChannels,
                                unsigned int height,
                                unsigned int width,
                                const armnn::DataLayout dataLayout,
                                const armnn::DataType dataType);
 
armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches,
                                unsigned int numberOfChannels,
                                unsigned int depth,
                                unsigned int height,
                                unsigned int width,
                                const armnn::DataLayout dataLayout,
                                const armnn::DataType dataType);
 
std::pair<float, float> FindMinMax(armnn::ITensorHandle* tensorHandle);
 
armnn::TensorShape ReduceDims(const armnn::TensorShape& tensorInfo, unsigned int dimensions);
 
armnn::TensorInfo ReduceDims(const armnn::TensorInfo& tensorInfo, unsigned int dimensions);
 
armnn::TensorShape ExpandDims(const armnn::TensorShape& tensorShape, int axis);
 
armnn::TensorShape ExpandDimsToRank(const armnn::TensorShape& tensorShape, unsigned int rank);
 
std::vector<unsigned int> SqueezeDims(const armnn::TensorShape& tensorShape);
 
unsigned int GetNumElementsBetween(const armnn::TensorShape& shape,
                                   unsigned int firstAxisInclusive,
                                   unsigned int lastAxisExclusive);
 
unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis);
 
unsigned int GetNumElementsAfter(const armnn::TensorShape& shape, unsigned int axis);
 
std::pair<unsigned int, std::vector<float>> GetPerAxisParams(const armnn::TensorInfo& info);
 
template<typename PrimitiveType>
std::unique_ptr<float[]> ToFloatArray(const std::vector<PrimitiveType>& data, const armnn::TensorInfo& tensorInfo);
 
std::unique_ptr<float[]> ToFloatArray(const std::vector<uint8_t>& data, const armnn::TensorInfo& tensorInfo);
 
} // namespace armnnUtils