--- /dev/null
+/*
+ * 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 "IR/TFPad.h"
+
+#include "GraphBuilder.h"
+#include "GraphBuilderContext.h"
+
+#include <loco.h>
+#include <stdex/Memory.h>
+#include <plier/tf/Convert.h>
+
+#include <tensorflow/core/framework/graph.pb.h>
+
+namespace
+{
+
+using namespace moco::tf;
+
+/**
+ * @brief GraphUpdate for TF Pad node
+ */
+class TFPadGraphUpdate final : public GraphUpdate
+{
+public:
+ TFPadGraphUpdate(TFPad *node, std::vector<TensorName> names) : _node(node), _names(names) {}
+
+ void input(const SymbolTable *) const override;
+
+private:
+ TFPad *_node;
+ std::vector<TensorName> _names;
+};
+
+void TFPadGraphUpdate::input(const SymbolTable *table) const
+{
+ int num_inputs = _names.size();
+ assert(num_inputs == 2);
+
+ _node->input(table->node(_names[0]));
+ _node->paddings(table->node(_names[1]));
+}
+
+} // namespace
+
+namespace moco
+{
+namespace tf
+{
+
+/**
+ * @brief GraphBuilder for Pad node
+ */
+class PadGraphBuilder final : public GraphBuilder
+{
+public:
+ bool validate(const tensorflow::NodeDef &) const override;
+ void build(const tensorflow::NodeDef &, GraphBuilderContext *) const override;
+};
+
+bool PadGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+ assert(node.input_size() == 2);
+
+ return plier::tf::has_attrs(node, {"T", "Tpaddings"});
+}
+
+void PadGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
+{
+ assert(context != nullptr);
+
+ loco::Graph *graph = context->graph();
+ SymbolTable *tensor_names = context->tensor_names();
+ UpdateQueue *updates = context->updates();
+
+ // creating TF dialect Pad node
+ auto tf_pad = graph->nodes()->create<TFPad>();
+
+ // register string-name to node
+ TensorName output_name(node.name(), 0);
+ tensor_names->enroll(output_name, tf_pad);
+
+ std::vector<TensorName> add_input_names;
+ add_input_names.push_back(TensorName(node.input(0))); // input
+ add_input_names.push_back(TensorName(node.input(1))); // paddings
+
+ // Queue node input update
+ auto tf_pad_update = stdex::make_unique<TFPadGraphUpdate>(tf_pad, add_input_names);
+ updates->enroll(std::move(tf_pad_update));
+}
+
+} // namespace tf
+} // namespace moco
+
+#include "GraphBuilderRegistry.h"
+
+REGISTER_OP_BUILDER(Pad, PadGraphBuilder)
--- /dev/null
+/*
+ * 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 "TestHelper.h"
+
+#include "Importer.h"
+
+#include "IR/TFPad.h"
+
+#include <loco.h>
+#include <plier/tf/TestHelper.h>
+
+#include <gtest/gtest.h>
+
+#include <tensorflow/core/framework/graph.pb.h>
+
+#include <cstring>
+#include <memory>
+
+using namespace moco::tf::test;
+
+namespace
+{
+// clang-format off
+const char *pad_basic_pbtxt = STRING_CONTENT(
+node {
+ name: "input"
+ op: "Placeholder"
+ attr {
+ key: "dtype"
+ value {
+ type: DT_FLOAT
+ }
+ }
+ attr {
+ key: "shape"
+ value {
+ shape {
+ dim {
+ size: 1
+ }
+ dim {
+ size: 3
+ }
+ dim {
+ size: 4
+ }
+ dim {
+ size: 4
+ }
+ }
+ }
+ }
+}
+node {
+ name: "paddings"
+ op: "Const"
+ attr {
+ key: "dtype"
+ value {
+ type: DT_INT32
+ }
+ }
+ attr {
+ key: "value"
+ value {
+ tensor {
+ dtype: DT_INT32
+ tensor_shape {
+ dim {
+ size: 4
+ }
+ dim {
+ size: 2
+ }
+ }
+ int_val: 0
+ int_val: 0
+ int_val: 0
+ int_val: 0
+ int_val: 2
+ int_val: 2
+ int_val: 1
+ int_val: 1
+ }
+ }
+ }
+}
+node {
+ name: "Pad"
+ op: "Pad"
+ input: "input"
+ input: "paddings"
+ attr {
+ key: "T"
+ value {
+ type: DT_FLOAT
+ }
+ }
+ attr {
+ key: "Tpaddings"
+ value {
+ type: DT_INT32
+ }
+ }
+}
+);
+// clang-format on
+
+} // namespace
+
+TEST(TensorFlowImport, tf_pad_basic)
+{
+ // load graph
+ moco::tf::Importer importer;
+ moco::tf::ModelSignature signature;
+ signature.add_output(moco::tf::TensorName("Pad", 0));
+
+ tensorflow::GraphDef graph_def;
+ EXPECT_TRUE(plier::tf::parse_graphdef(pad_basic_pbtxt, graph_def));
+ std::unique_ptr<loco::Graph> graph = importer.import(signature, graph_def);
+
+ // what to test:
+ // - TFPad node should exist
+ // - input input() should not be null
+ // - input paddings() should not be null
+
+ auto pad_node = moco::tf::test::find_first_node_bytype<moco::tf::TFPad>(graph.get());
+
+ ASSERT_NE(pad_node, nullptr);
+ ASSERT_NE(pad_node->input(), nullptr);
+ ASSERT_NE(pad_node->paddings(), nullptr);
+}