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/*
* Copyright (C) 2022 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef ANDROID_PACKAGES_MODULES_NEURALNETWORKS_RUNTIME_OPERATION_CONVERTERS_DEPTHWISE_CONV2D_OPERATION_CONVERTER_H
#define ANDROID_PACKAGES_MODULES_NEURALNETWORKS_RUNTIME_OPERATION_CONVERTERS_DEPTHWISE_CONV2D_OPERATION_CONVERTER_H
#include <vector>
#include "Conv2DOperationConverter.h"
namespace android {
namespace nn {
class DepthwiseConv2DOperationConverter : public Conv2DOperationConverter {
public:
Result<void> convert(const Operation& operation, SubGraphContext* context) const override;
private:
// Offset locations of BuiltinOption parameters in NNAPI Operand inputs
static constexpr int kStrideWOffset = 0;
static constexpr int kStrideHOffset = 1;
static constexpr int kDepthwiseMultiplier = 2;
static constexpr int kActivationOffset = 3;
static constexpr int kIsNchwOffset = 4;
static constexpr int kDilationWOffset = 5;
static constexpr int kDilationHOffset = 6;
};
} // namespace nn
} // namespace android
#endif // ANDROID_PACKAGES_MODULES_NEURALNETWORKS_RUNTIME_OPERATION_CONVERTERS_DEPTHWISE_CONV2D_OPERATION_CONVERTER_H