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diff --git a/compiler/moco-tf/src/Canonicalization/AvgPoolCanonicalizer.cpp b/compiler/moco-tf/src/Canonicalization/AvgPoolCanonicalizer.cpp
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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 "AvgPoolCanonicalizer.h"
+
+#include <moco/IR/TFDialect.h>
+#include <moco/Support/TFShapeInferenceHelper.h>
+
+#include "CodecHelper.h"
+
+#include <loco/IR/NodeShape.h>
+
+#include <moco/Log.h>
+
+namespace
+{
+
+bool canonicalize_avgpool2d(loco::Graph *graph, moco::TFAvgPool *node)
+{
+ LOGGER(l);
+
+ /**
+ * @note This will replace TFAvgPool node with Canonical FeatureEncode +
+ * AvgPool2D + FeatureDecode
+ *
+ * Before
+ * A -- TFAvgPool -- C
+ *
+ * After
+ * +- TFAvgPool --
+ * |
+ * A -+- FeatureEncode -- AvgPool2D -- FeatureDecode -- C
+ *
+ * Where
+ * A : value of TFAvgPool
+ * C : a node that uses TFAvgPool as an input
+ * TFAvgPool is disconnected from other nodes
+ */
+
+ auto data_layout = plier::tf::as_data_layout(node->data_layout());
+
+ auto feature_enc = graph->nodes()->create<loco::FeatureEncode>();
+ auto avgPool2d_node = graph->nodes()->create<loco::AvgPool2D>();
+ auto feature_dec = graph->nodes()->create<loco::FeatureDecode>();
+
+ set_feature_enc(feature_enc, data_layout);
+ set_feature_dec(feature_dec, data_layout);
+
+ avgPool2d_node->convention(loco::AvgPool2D::Convention::Valid);
+
+ auto value_shape = moco::node_shape(node->value());
+ assert(value_shape.domain() != loco::Domain::Unknown);
+
+ auto node_stride = moco::stride_of(node->strides(), node->data_layout());
+ auto node_window = moco::window_of(node->ksize(), node->data_layout());
+
+ moco::Padding2DInference infer_padding2d;
+
+ infer_padding2d.padding(node->padding());
+ infer_padding2d.stride(node_stride);
+ infer_padding2d.window(node_window);
+
+ auto input_feature_shape = moco::as_feature_shape(value_shape, node->data_layout());
+ auto input_plane_shape = moco::make_plane_shape(input_feature_shape);
+
+ *avgPool2d_node->pad() = infer_padding2d(input_plane_shape);
+ *avgPool2d_node->stride() = node_stride;
+ *avgPool2d_node->window() = node_window;
+
+ INFO(l) << "Canonicalize TFAvgPool pad = T " << avgPool2d_node->pad()->top() << ", L "
+ << avgPool2d_node->pad()->left() << ", B " << avgPool2d_node->pad()->bottom() << ", R "
+ << avgPool2d_node->pad()->right() << std::endl;
+
+ // update graph
+ auto node_A = node->value();
+
+ // update connections
+ feature_enc->input(node_A);
+ avgPool2d_node->ifm(feature_enc);
+ feature_dec->input(avgPool2d_node);
+
+ // replace node
+ replace(node).with(feature_dec);
+
+ return true;
+}
+
+} // namespace
+
+namespace moco
+{
+namespace tf
+{
+
+bool AvgPoolCanonicalizer::transform(TFAvgPool *node) const
+{
+ return canonicalize_avgpool2d(node->graph(), node);
+}
+
+} // namespace tf
+} // namespace moco