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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "../ConversionUtils.hpp"
#include "../ConversionUtils_1_2.hpp"
#include <HalInterfaces.h>
#include <armnn/Types.hpp>
namespace V1_2 = ::android::hardware::neuralnetworks::V1_2;
namespace armnn_driver
{
namespace hal_1_2
{
class HalPolicy
{
public:
using Model = V1_2::Model;
using Operand = V1_2::Operand;
using OperandLifeTime = V1_0::OperandLifeTime;
using OperandType = V1_2::OperandType;
using Operation = V1_2::Operation;
using OperationType = V1_2::OperationType;
using ExecutionCallback = V1_2::IExecutionCallback;
using getSupportedOperations_cb = V1_2::IDevice::getSupportedOperations_1_2_cb;
using ErrorStatus = V1_0::ErrorStatus;
static bool ConvertOperation(const Operation& operation, const Model& model, ConversionData& data);
private:
static bool ConvertAdd(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertArgMinMax(const Operation& operation,
const Model& model,
ConversionData& data,
armnn::ArgMinMaxFunction argMinMaxFunction);
static bool ConvertAveragePool2d(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertBatchToSpaceNd(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertComparison(const Operation& operation,
const Model& model,
ConversionData& data,
armnn::ComparisonOperation comparisonOperation);
static bool ConvertConcatenation(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertConv2d(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertDepthToSpace(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertDepthwiseConv2d(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertDequantize(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertDiv(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertExpandDims(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertElementwiseUnary(const Operation& operation,
const Model& model,
ConversionData& data,
armnn::UnaryOperation unaryOperation);
static bool ConvertFloor(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertFullyConnected(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertGroupedConv2d(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertInstanceNormalization(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertL2Normalization(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertL2Pool2d(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertLocalResponseNormalization(const Operation& operation,
const Model& model,
ConversionData& data);
static bool ConvertLogistic(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertLogSoftmax(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertLstm(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertMaxPool2d(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertMaximum(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertMean(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertMinimum(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertMul(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertPad(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertPadV2(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertPrelu(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertQuantize(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertQuantizedLstm(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertReLu(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertReLu1(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertReLu6(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertReshape(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertResize(const Operation& operation,
const Model& model,
ConversionData& data,
armnn::ResizeMethod resizeMethod);
static bool ConvertSoftmax(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertSpaceToBatchNd(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertSpaceToDepth(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertSqrt(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertSqueeze(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertStridedSlice(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertSub(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertTanH(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertTranspose(const Operation& operation, const Model& model, ConversionData& data);
static bool ConvertTransposeConv2d(const Operation& operation, const Model& model, ConversionData& data);
};
} // namespace hal_1_2
} // namespace armnn_driver