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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.
*/
#include "AvgPool2DConverter.h"
#include "Dialect/IR/TFLNodes.h"
#include "GraphBlock.h"
#include "Check.h"
#include <loco.h>
namespace exo
{
/**
* @brief Converts loco::AvgPool2D to locoex::TFLAveragePool2D
*
* How it works: (note: ten->fea means input: tensor, output: feature)
*
* Before:
* Foo ---- FeatureEncode ---- AvgPool2D ---- FeatureDecode ---- Bar
* ten->ten ten->fea fea->fea fea->ten ten->ten
*
* After: AvgPool2D
* /
* Foo -- FeatureEncode - FeatureDecode - TFLAvgPool2D - FeatureEncode - FeatureDecode -- Bar
* ten->ten ten->fea fea->ten ten->ten ten->fea fea->ten ten->ten
*
* @note This method replaces AvgPool2D with "FeatureDecode -- TFLAvgPool2D -- FeatureEncode".
* Redundant nodes will be removed during transforms.
*/
bool AvgPool2DConverter::convert(loco::AvgPool2D *origin)
{
auto *graph = origin->graph();
auto dec = make_feature_decode<FeatureLayout::NHWC>(origin->ifm());
auto tfl_average = graph->nodes()->create<locoex::TFLAveragePool2D>();
{
tfl_average->value(dec);
// set attributes
tfl_average->stride()->w(origin->stride()->horizontal());
tfl_average->stride()->h(origin->stride()->vertical());
tfl_average->filter()->w(origin->window()->horizontal());
tfl_average->filter()->h(origin->window()->vertical());
auto pad = origin->pad();
if (pad->bottom() == 0 && pad->top() == 0 && pad->left() == 0 && pad->right() == 0)
tfl_average->padding(locoex::Padding::VALID);
else
// TODO This is necessary, but not sufficient condition. More rigorous check required
tfl_average->padding(locoex::Padding::SAME);
tfl_average->fusedActivationFunction(locoex::FusedActFunc::NONE);
}
auto enc = make_feature_encode<FeatureLayout::NHWC>(tfl_average);
// replace canonical node
loco::replace(origin).with(enc);
origin->ifm(nullptr);
return true;
}
} // namespace exo
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