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//
// 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 "Layers.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
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