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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/DescriptorsFwd.hpp>
#include <armnn/Types.hpp>
#include <armnn/Tensor.hpp>
namespace armnn
{
class NeonLayerSupport : public ILayerSupport
{
// TODO implement
};
bool IsNeonDirectConvolutionPreferred(const TensorInfo& weightInfo, const Convolution2dDescriptor& desc);
bool IsNeonNormalizationDescParamsSupported(std::string* reasonIfUnsupported,
const NormalizationDescriptor& parameters);
bool IsActivationSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const ActivationDescriptor& descriptor,
std::string* reasonIfUnsupported);
bool IsNeonDepthwiseConvolution2dDescParamsSupported(std::string* reasonIfUnsupported,
const DepthwiseConvolution2dDescriptor& parameters,
const TensorInfo& weights);
bool IsAdditionSupportedNeon(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported);
bool IsBatchNormalizationSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& mean,
const TensorInfo& var,
const TensorInfo& beta,
const TensorInfo& gamma,
const BatchNormalizationDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsConstantSupportedNeon(const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsConvolution2dSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const Convolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
std::string* reasonIfUnsupported = nullptr);
bool IsDepthwiseConvolutionSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const DepthwiseConvolution2dDescriptor& descriptor,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
std::string* reasonIfUnsupported = nullptr);
bool IsDivisionSupportedNeon(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsSubtractionSupportedNeon(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsFullyConnectedSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& weights,
const TensorInfo& biases,
const FullyConnectedDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsInputSupportedNeon(const TensorInfo& input,
std::string* reasonIfUnsupported = nullptr);
bool IsL2NormalizationSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const L2NormalizationDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsMergerSupportedNeon(const std::vector<const TensorInfo*> inputs,
const OriginsDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsMultiplicationSupportedNeon(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsNormalizationSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const NormalizationDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsOutputSupportedNeon(const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsPermuteSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const PermuteDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsPooling2dSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const Pooling2dDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsResizeBilinearSupportedNeon(const TensorInfo& input,
std::string* reasonIfUnsupported = nullptr);
bool IsSoftmaxSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const SoftmaxDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsSplitterSupportedNeon(const TensorInfo& input,
const ViewsDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsFakeQuantizationSupportedNeon(const TensorInfo& input,
const FakeQuantizationDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsReshapeSupportedNeon(const TensorInfo& input,
std::string* reasonIfUnsupported = nullptr);
bool IsFloorSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsLstmSupportedNeon(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 TensorInfo& inputToForgetWeights, const TensorInfo& inputToCellWeights,
const TensorInfo& inputToOutputWeights, const TensorInfo& recurrentToForgetWeights,
const TensorInfo& recurrentToCellWeights, const TensorInfo& recurrentToOutputWeights,
const TensorInfo& forgetGateBias, const TensorInfo& cellBias,
const TensorInfo& outputGateBias, const TensorInfo* inputToInputWeights,
const TensorInfo* recurrentToInputWeights, const TensorInfo* cellToInputWeights,
const TensorInfo* inputGateBias, const TensorInfo* projectionWeights,
const TensorInfo* projectionBias, const TensorInfo* cellToForgetWeights,
const TensorInfo* cellToOutputWeights, std::string* reasonIfUnsupported = nullptr);
bool IsConvertFp16ToFp32SupportedNeon(const TensorInfo& input,
const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsConvertFp32ToFp16SupportedNeon(const TensorInfo& input,
const TensorInfo& output,
std::string* reasonIfUnsupported = nullptr);
bool IsMeanSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const MeanDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
bool IsPadSupportedNeon(const TensorInfo& input,
const TensorInfo& output,
const PadDescriptor& descriptor,
std::string* reasonIfUnsupported = nullptr);
}
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