//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonWorkloadUtils.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
#include "backends/ArmComputeUtils.hpp"
#include "backends/CpuTensorHandle.hpp"
#include "backends/NeonTensorHandle.hpp"

#include "armnn/Utils.hpp"
#include "armnn/Exceptions.hpp"

#include <cstring>
#include <boost/assert.hpp>
#include <boost/cast.hpp>
#include <boost/format.hpp>

#include "Profiling.hpp"

#include "NeonLayerSupport.hpp"
#include "../../../include/armnn/Types.hpp"

using namespace armnn::armcomputetensorutils;

namespace armnn
{

// Allocate a tensor and copy the contents in data to the tensor contents
template<typename T>
void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const T* data)
{
    InitialiseArmComputeTensorEmpty(tensor);
    CopyArmComputeITensorData(data, tensor);
}

template void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const float* data);
template void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const uint8_t* data);
template void InitialiseArmComputeTensorData(arm_compute::Tensor& tensor, const int32_t* data);

} //namespace armnn