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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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 __CONVERSION_DEPTHWISECONV2D_CONVERTER__
#define __CONVERSION_DEPTHWISECONV2D_CONVERTER__
#include "CanonicalNodeConverter.h"
#include <loco.h>
namespace exo
{
/**
* @brief Convert loco::DepthwiseConv2D to locoex::TFLDepthwiseConv2D and auxiliary
*
*
* <BEFORE>
*
* IFM -------- DepthwiseConv2D --- Out
* [Feature] / [Feature]
* /
* KER -------
* [DWFilter]
*
*
* <AFTER>
* TFLConst (bias) ---------------------------
* \
* IFM ------ FeatureDecode ------------------ TFLDepthwiseConv2D --- FeatureEncode --- Out
* [Feature] [Tensor] / [Tensor] [Feature]
* /
* KER ------- DepthwiseFilterDecode --- TFLReshape
* [DWFilter] [Tensor / H W C M] [Tensor / 1 H W CM]
*
*/
class DepthwiseConv2DConverter : public CanonicalNodeConverter<loco::DepthwiseConv2D>
{
public:
const char *name(void) const final { return "exo::DepthwiseConv2DConverter"; }
public:
bool convert(loco::DepthwiseConv2D *origin) final;
};
} // namespace exo
#endif // __CONVERSION_DEPTHWISECONV2D_CONVERTER__
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