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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonPooling2dBaseWorkload.hpp"
#include "backends/NeonLayerSupport.hpp"
#include "backends/NeonTensorHandle.hpp"
#include "backends/ArmComputeUtils.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const Pooling2dDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
return arm_compute::NEPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}
template <armnn::DataType dataType>
NeonPooling2dBaseWorkload<dataType>::NeonPooling2dBaseWorkload(
const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info, const std::string& name)
: TypedWorkload<Pooling2dQueueDescriptor, dataType>(descriptor, info)
{
m_Data.ValidateInputsOutputs(name, 1, 1);
arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters);
m_PoolingLayer.configure(&input, &output, layerInfo);
}
template class NeonPooling2dBaseWorkload<DataType::Float32>;
template class NeonPooling2dBaseWorkload<DataType::QuantisedAsymm8>;
} //namespace armnn
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