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

#include <backendsCommon/LayerSupportBase.hpp>

namespace armnn
{

class NeonLayerSupport : public LayerSupportBase
{
public:
    bool IsActivationSupported(const TensorInfo& input,
                               const TensorInfo& output,
                               const ActivationDescriptor& descriptor,
                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsAdditionSupported(const TensorInfo& input0,
                             const TensorInfo& input1,
                             const TensorInfo& output,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsBatchNormalizationSupported(const TensorInfo& input,
                                       const TensorInfo& output,
                                       const TensorInfo& mean,
                                       const TensorInfo& var,
                                       const TensorInfo& beta,
                                       const TensorInfo& gamma,
                                       const BatchNormalizationDescriptor& descriptor,
                                       Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsConcatSupported(const std::vector<const TensorInfo*> inputs,
                           const TensorInfo& output,
                           const ConcatDescriptor& descriptor,
                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsConstantSupported(const TensorInfo& output,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsConvertFp16ToFp32Supported(const TensorInfo& input,
                                      const TensorInfo& output,
                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsConvertFp32ToFp16Supported(const TensorInfo& input,
                                      const TensorInfo& output,
                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsConvolution2dSupported(const TensorInfo& input,
                                  const TensorInfo& output,
                                  const Convolution2dDescriptor& descriptor,
                                  const TensorInfo& weights,
                                  const Optional<TensorInfo>& biases,
                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsDepthwiseConvolutionSupported(const TensorInfo& input,
                                         const TensorInfo& output,
                                         const DepthwiseConvolution2dDescriptor& descriptor,
                                         const TensorInfo& weights,
                                         const Optional<TensorInfo>& biases,
                                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input,
                                                const TensorInfo& output,
                                                const DepthwiseConvolution2dDescriptor& descriptor,
                                                const TensorInfo& weights,
                                                const Optional<TensorInfo>& biases,
                                                Optional<std::string&> reason = EmptyOptional()) const override;

    bool IsFloorSupported(const TensorInfo& input,
                          const TensorInfo& output,
                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsFullyConnectedSupported(const TensorInfo& input,
                                   const TensorInfo& output,
                                   const TensorInfo& weights,
                                   const TensorInfo& biases,
                                   const FullyConnectedDescriptor& descriptor,
                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsGreaterSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsInputSupported(const TensorInfo& input,
                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsL2NormalizationSupported(const TensorInfo& input,
                                    const TensorInfo& output,
                                    const L2NormalizationDescriptor& descriptor,
                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsMaximumSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsMeanSupported(const TensorInfo& input,
                         const TensorInfo& output,
                         const MeanDescriptor& descriptor,
                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsMemCopySupported(const TensorInfo& input,
                            const TensorInfo& output,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    ARMNN_DEPRECATED_MSG("Use IsConcatSupported instead")
    bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                           const TensorInfo& output,
                           const MergerDescriptor& descriptor,
                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsMinimumSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsMultiplicationSupported(const TensorInfo& input0,
                                   const TensorInfo& input1,
                                   const TensorInfo& output,
                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsNormalizationSupported(const TensorInfo& input,
                                  const TensorInfo& output,
                                  const NormalizationDescriptor& descriptor,
                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsOutputSupported(const TensorInfo& output,
                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsPadSupported(const TensorInfo& input,
                        const TensorInfo& output,
                        const PadDescriptor& descriptor,
                        Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsPermuteSupported(const TensorInfo& input,
                            const TensorInfo& output,
                            const PermuteDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsPooling2dSupported(const TensorInfo& input,
                              const TensorInfo& output,
                              const Pooling2dDescriptor& descriptor,
                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsQuantizeSupported(const TensorInfo& input,
                             const TensorInfo& output,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsReshapeSupported(const TensorInfo& input,
                            const ReshapeDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsResizeBilinearSupported(const TensorInfo& input,
                                   const TensorInfo& output,
                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsSoftmaxSupported(const TensorInfo& input,
                            const TensorInfo& output,
                            const SoftmaxDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    ARMNN_DEPRECATED_MSG("Use IsSplitterSupported with outputs instead")
    bool IsSplitterSupported(const TensorInfo& input,
                             const ViewsDescriptor& descriptor,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsSplitterSupported(const TensorInfo& input,
                             const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
                             const ViewsDescriptor& descriptor,
                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;

    bool IsSubtractionSupported(const TensorInfo& input0,
                                const TensorInfo& input1,
                                const TensorInfo& output,
                                Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
}; // class NeonLayerSupport

} // namespace armnn