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

#include <armnn/Deprecated.hpp>
#include <armnn/Descriptors.hpp>
#include <armnn/Exceptions.hpp>
#include <armnn/Types.hpp>

#include <backendsCommon/LayerSupportBase.hpp>

#include <boost/core/ignore_unused.hpp>

namespace
{

bool DefaultLayerSupport(const char* func,
                         const char* file,
                         unsigned int line,
                         armnn::Optional<std::string&> reasonIfUnsupported)
{
    // NOTE: We only need to return the reason if the optional parameter is not empty
    if (reasonIfUnsupported)
    {
        std::stringstream message;
        message << func << " is not implemented [" << file << ":" << line << "]";

        reasonIfUnsupported.value() = message.str();
    }

    return false;
}

} // anonymous namespace

namespace armnn
{

bool LayerSupportBase::IsAbsSupported(const TensorInfo& /*input*/,
                                      const TensorInfo& /*output*/,
                                      Optional<std::string &> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsActivationSupported(const TensorInfo& /*input*/,
                                             const TensorInfo& /*output*/,
                                             const ActivationDescriptor& /*descriptor*/,
                                             Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsAdditionSupported(const TensorInfo& /*input0*/,
                                           const TensorInfo& /*input1*/,
                                           const TensorInfo& /*output*/,
                                           Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsArgMinMaxSupported(const armnn::TensorInfo &/*input*/,
                                            const armnn::TensorInfo &/*output*/,
                                            const armnn::ArgMinMaxDescriptor& /*descriptor*/,
                                            armnn::Optional<std::string &> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::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) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsBatchToSpaceNdSupported(const TensorInfo& /*input*/,
                                                 const TensorInfo& /*output*/,
                                                 const BatchToSpaceNdDescriptor& /*descriptor*/,
                                                 Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsComparisonSupported(const TensorInfo& /*input0*/,
                                             const TensorInfo& /*input1*/,
                                             const TensorInfo& /*output*/,
                                             const ComparisonDescriptor& /*descriptor*/,
                                             Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsConcatSupported(const std::vector<const TensorInfo*> /*inputs*/,
                                         const TensorInfo& /*output*/,
                                         const OriginsDescriptor& /*descriptor*/,
                                         Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsConstantSupported(const TensorInfo& /*output*/,
                                           Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsConvertFp16ToFp32Supported(const TensorInfo& /*input*/,
                                                    const TensorInfo& /*output*/,
                                                    Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsConvertFp32ToFp16Supported(const TensorInfo& /*input*/,
                                                    const TensorInfo& /*output*/,
                                                    Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsConvolution2dSupported(const TensorInfo& /*input*/,
                                                const TensorInfo& /*output*/,
                                                const Convolution2dDescriptor& /*descriptor*/,
                                                const TensorInfo& /*weights*/,
                                                const Optional<TensorInfo>& /*biases*/,
                                                Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDebugSupported(const TensorInfo& /*input*/,
                                        const TensorInfo& /*output*/,
                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDepthToSpaceSupported(const TensorInfo& /*input*/,
                                               const TensorInfo& /*output*/,
                                               const DepthToSpaceDescriptor& /*descriptor*/,
                                               Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo& /*input*/,
                                                       const TensorInfo& /*output*/,
                                                       const DepthwiseConvolution2dDescriptor& /*descriptor*/,
                                                       const TensorInfo& /*weights*/,
                                                       const Optional<TensorInfo>& /*biases*/,
                                                       Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDequantizeSupported(const TensorInfo& /*input*/,
                                             const TensorInfo& /*output*/,
                                             Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDetectionPostProcessSupported(const TensorInfo& /*boxEncodings*/,
                                                       const TensorInfo& /*scores*/,
                                                       const TensorInfo& /*anchors*/,
                                                       const TensorInfo& /*detectionBoxes*/,
                                                       const TensorInfo& /*detectionClasses*/,
                                                       const TensorInfo& /*detectionScores*/,
                                                       const TensorInfo& /*numDetections*/,
                                                       const DetectionPostProcessDescriptor& /*descriptor*/,
                                                       Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& /*input*/,
                                                              const TensorInfo& /*output*/,
                                                              const DepthwiseConvolution2dDescriptor& /*descriptor*/,
                                                              const TensorInfo& /*weights*/,
                                                              const Optional<TensorInfo>& /*biases*/,
                                                              Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsDivisionSupported(const TensorInfo& /*input0*/,
                                           const TensorInfo& /*input1*/,
                                           const TensorInfo& /*output*/,
                                           Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsElementwiseUnarySupported(const TensorInfo& input,
                                                   const TensorInfo& output,
                                                   const ElementwiseUnaryDescriptor& descriptor,
                                                   Optional<std::string&> reasonIfUnsupported) const
{
    if (descriptor.m_Operation == UnaryOperation::Abs)
    {
        ARMNN_NO_DEPRECATE_WARN_BEGIN
        return IsAbsSupported(input, output, reasonIfUnsupported);
        ARMNN_NO_DEPRECATE_WARN_END
    }
    else if (descriptor.m_Operation == UnaryOperation::Rsqrt)
    {
        ARMNN_NO_DEPRECATE_WARN_BEGIN
        return IsRsqrtSupported(input, output, reasonIfUnsupported);
        ARMNN_NO_DEPRECATE_WARN_END
    }
    return false;
}

bool LayerSupportBase::IsEqualSupported(const armnn::TensorInfo& /*input0*/,
                                        const armnn::TensorInfo& /*input1*/,
                                        const armnn::TensorInfo& /*output*/,
                                        armnn::Optional<std::string &> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsFakeQuantizationSupported(const TensorInfo& /*input*/,
                                                   const FakeQuantizationDescriptor& /*descriptor*/,
                                                   Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsFloorSupported(const TensorInfo& /*input*/,
                                        const TensorInfo& /*output*/,
                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsFullyConnectedSupported(const TensorInfo& /*input*/,
                                                 const TensorInfo& /*output*/,
                                                 const TensorInfo& /*weights*/,
                                                 const TensorInfo& /*biases*/,
                                                 const FullyConnectedDescriptor& /*descriptor*/,
                                                 Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsGatherSupported(const armnn::TensorInfo& /*input0*/,
                                         const armnn::TensorInfo& /*input1*/,
                                         const armnn::TensorInfo& /*output*/,
                                         armnn::Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsGreaterSupported(const TensorInfo& /*input0*/,
                                          const TensorInfo& /*input1*/,
                                          const TensorInfo& /*output*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsInputSupported(const TensorInfo& /*input*/,
                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsInstanceNormalizationSupported(const TensorInfo& /*input*/,
                                                        const TensorInfo& /*output*/,
                                                        const InstanceNormalizationDescriptor& /*descriptor*/,
                                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo& /*input*/,
                                                  const TensorInfo& /*output*/,
                                                  const L2NormalizationDescriptor& /*descriptor*/,
                                                  Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsLogSoftmaxSupported(const TensorInfo& /*input*/,
                                             const TensorInfo& /*output*/,
                                             const LogSoftmaxDescriptor& /*descriptor*/,
                                             Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsLstmSupported(const TensorInfo& /*input*/,
                                       const TensorInfo& /*outputStateIn*/,
                                       const TensorInfo& /*cellStateIn*/,
                                       const TensorInfo& /*scratchBuffer*/,
                                       const TensorInfo& /*outputStateOut*/,
                                       const TensorInfo& /*cellStateOut*/,
                                       const TensorInfo& /*output*/,
                                       const LstmDescriptor& /*descriptor*/,
                                       const LstmInputParamsInfo& /*paramsInfo*/,
                                       Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsMaximumSupported(const TensorInfo& /*input0*/,
                                          const TensorInfo& /*input1*/,
                                          const TensorInfo& /*output*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsMeanSupported(const TensorInfo& /*input*/,
                                       const TensorInfo& /*output*/,
                                       const MeanDescriptor& /*descriptor*/,
                                       Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsMemCopySupported(const armnn::TensorInfo& /*input*/,
                                          const armnn::TensorInfo& /*output*/,
                                          armnn::Optional<std::string &> /*reasonIfUnsupported*/) const
{
    return true;
}

bool LayerSupportBase::IsMemImportSupported(const armnn::TensorInfo& /*input*/,
                                            const armnn::TensorInfo& /*output*/,
                                            armnn::Optional<std::string &> /*reasonIfUnsupported*/) const
{
    return true;
}

bool LayerSupportBase::IsMergeSupported(const TensorInfo& /*input0*/,
                                        const TensorInfo& /*input1*/,
                                        const TensorInfo& /*output*/,
                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
                                         const TensorInfo& output,
                                         const OriginsDescriptor& descriptor,
                                         Optional<std::string&> reasonIfUnsupported) const
{
    return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
}

bool LayerSupportBase::IsMinimumSupported(const TensorInfo& /*input0*/,
                                          const TensorInfo& /*input1*/,
                                          const TensorInfo& /*output*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsMultiplicationSupported(const TensorInfo& /*input0*/,
                                                 const TensorInfo& /*input1*/,
                                                 const TensorInfo& /*output*/,
                                                 Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsNormalizationSupported(const TensorInfo& /*input*/,
                                                const TensorInfo& /*output*/,
                                                const NormalizationDescriptor& /*descriptor*/,
                                                Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsOutputSupported(const TensorInfo& /*output*/,
                                         Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsPadSupported(const TensorInfo& /*input*/,
                                      const TensorInfo& /*output*/,
                                      const PadDescriptor& /*descriptor*/,
                                      Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsPermuteSupported(const TensorInfo& /*input*/,
                                          const TensorInfo& /*output*/,
                                          const PermuteDescriptor& /*descriptor*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsPooling2dSupported(const TensorInfo& /*input*/,
                                            const TensorInfo& /*output*/,
                                            const Pooling2dDescriptor& /*descriptor*/,
                                            Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsPreCompiledSupported(const TensorInfo& /*input*/,
                                              const PreCompiledDescriptor& /*descriptor*/,
                                              Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsPreluSupported(const TensorInfo& /*input*/,
                                        const TensorInfo& /*alpha*/,
                                        const TensorInfo& /*output*/,
                                        Optional<std::string &> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsQuantizeSupported(const armnn::TensorInfo& /*input*/,
                                           const armnn::TensorInfo& /*output*/,
                                           armnn::Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsQuantizedLstmSupported(const TensorInfo& /*input*/,
                                                const TensorInfo& /*previousCellStateIn*/,
                                                const TensorInfo& /*previousOutputIn*/,
                                                const TensorInfo& /*cellStateOut*/,
                                                const TensorInfo& /*output*/,
                                                const QuantizedLstmInputParamsInfo& /*paramsInfo*/,
                                                Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsReshapeSupported(const TensorInfo& /*input*/,
                                          const TensorInfo& /*output*/,
                                          const ReshapeDescriptor& /*descriptor*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo& /*input*/,
                                                 const TensorInfo& /*output*/,
                                                 Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsResizeSupported(const TensorInfo& /*input*/,
                                         const TensorInfo& /*output*/,
                                         const ResizeDescriptor& /*descriptor*/,
                                         Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsRsqrtSupported(const TensorInfo &/*input*/,
                                        const TensorInfo &/*output*/,
                                        Optional<std::string &> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSliceSupported(const TensorInfo& /*input*/,
                                        const TensorInfo& /*output*/,
                                        const SliceDescriptor& /*descriptor*/,
                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSoftmaxSupported(const TensorInfo& /*input*/,
                                          const TensorInfo& /*output*/,
                                          const SoftmaxDescriptor& /*descriptor*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}
/**/
bool LayerSupportBase::IsSpaceToBatchNdSupported(const TensorInfo& /*input*/,
                                                 const TensorInfo& /*output*/,
                                                 const SpaceToBatchNdDescriptor& /*descriptor*/,
                                                 Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSpaceToDepthSupported(const TensorInfo& /*input*/,
                                               const TensorInfo& /*output*/,
                                               const SpaceToDepthDescriptor& /*descriptor*/,
                                               Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSplitterSupported(const TensorInfo& /*input*/,
                                           const ViewsDescriptor& /*descriptor*/,
                                           Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSplitterSupported(const TensorInfo& /*input*/,
                                           const std::vector<std::reference_wrapper<TensorInfo>>& /*outputs*/,
                                           const ViewsDescriptor& /*descriptor*/,
                                           Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsStackSupported(const std::vector<const TensorInfo*>& /*inputs*/,
                                        const TensorInfo& /*output*/,
                                        const StackDescriptor& /*descriptor*/,
                                        Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsStandInSupported(const std::vector<const TensorInfo*>& /*inputs*/,
                                          const std::vector<const TensorInfo*>& /*outputs*/,
                                          const StandInDescriptor& /*descriptor*/,
                                          Optional<std::string&> reasonIfUnsupported) const
{
    if (reasonIfUnsupported)
    {
        std::stringstream message;
        message << "StandIn layer is not executable via backends";

        reasonIfUnsupported.value() = message.str();
    }

    return false;
}

bool LayerSupportBase::IsStridedSliceSupported(const TensorInfo& /*input*/,
                                               const TensorInfo& /*output*/,
                                               const StridedSliceDescriptor& /*descriptor*/,
                                               Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSubtractionSupported(const TensorInfo& /*input0*/,
                                              const TensorInfo& /*input1*/,
                                              const TensorInfo& /*output*/,
                                              Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsSwitchSupported(const TensorInfo& /*input0*/,
                                         const TensorInfo& /*input1*/,
                                         const TensorInfo& /*output0*/,
                                         const TensorInfo& /*output1*/,
                                         Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

bool LayerSupportBase::IsTransposeConvolution2dSupported(const TensorInfo& /*input*/,
                                                         const TensorInfo& /*output*/,
                                                         const TransposeConvolution2dDescriptor& /*descriptor*/,
                                                         const TensorInfo& /*weights*/,
                                                         const Optional<TensorInfo>& /*biases*/,
                                                         Optional<std::string&> reasonIfUnsupported) const
{
    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
}

} // namespace armnn