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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#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"
#include "Half.hpp"
using namespace armnn::armcomputetensorutils;
namespace armnn
{
// Allocates 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 Half* data);
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);
void InitializeArmComputeTensorDataForFloatTypes(arm_compute::Tensor& tensor,
const ConstCpuTensorHandle* handle)
{
BOOST_ASSERT(handle);
switch(handle->GetTensorInfo().GetDataType())
{
case DataType::Float16:
InitialiseArmComputeTensorData(tensor, handle->GetConstTensor<Half>());
break;
case DataType::Float32:
InitialiseArmComputeTensorData(tensor, handle->GetConstTensor<float>());
break;
default:
BOOST_ASSERT_MSG(false, "Unexpected floating point type.");
}
};
} //namespace armnn
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