//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//

#pragma once

#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
#include <backends/CpuTensorHandle.hpp>
#include <backends/neon/NeonLayerSupport.hpp>
#include <backends/neon/workloads/NeonWorkloadUtils.hpp>
#include <backends/Workload.hpp>

#include <arm_compute/runtime/MemoryManagerOnDemand.h>

#include <memory>

namespace armnn
{

arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input,
    const TensorInfo& output,
    const Convolution2dDescriptor& descriptor,
    const TensorInfo& weights,
    const Optional<TensorInfo>& biases);

template<armnn::DataType... dataTypes>
class NeonConvolution2dBaseWorkload : public TypedWorkload<Convolution2dQueueDescriptor, dataTypes...>
{
public:
    using TypedWorkload<Convolution2dQueueDescriptor, dataTypes...>::m_Data;

    NeonConvolution2dBaseWorkload(const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info,
                                  std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager);

    virtual void ValidateData() const {};

protected:
    std::unique_ptr<arm_compute::IFunction> m_ConvolutionLayer;

    std::unique_ptr<arm_compute::Tensor> m_KernelTensor;
    std::unique_ptr<arm_compute::Tensor> m_BiasTensor;

    void FreeUnusedTensors();
};

} //namespace armnn