[moco-tf] GraphBuilder for SquaredDifference (#6631)
author박세희/On-Device Lab(SR)/Principal Engineer/삼성전자 <saehie.park@samsung.com>
Mon, 19 Aug 2019 00:47:21 +0000 (09:47 +0900)
committerGitHub Enterprise <noreply-CODE@samsung.com>
Mon, 19 Aug 2019 00:47:21 +0000 (09:47 +0900)
* [moco-tf] GraphBuilder for SquaredDifference

This will introduce GraphBuilder for SquaredDifference to import SquaredDifference node

Signed-off-by: SaeHie Park <saehie.park@samsung.com>
* fix comment

compiler/moco-tf/src/Op/SquaredDifference.cpp [new file with mode: 0644]
compiler/moco-tf/src/Op/SquaredDifference.test.cpp [new file with mode: 0644]

diff --git a/compiler/moco-tf/src/Op/SquaredDifference.cpp b/compiler/moco-tf/src/Op/SquaredDifference.cpp
new file mode 100644 (file)
index 0000000..bbccad7
--- /dev/null
@@ -0,0 +1,114 @@
+/*
+ * 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/TFSquaredDifference.h"
+
+#include "GraphBuilder.h"
+#include "GraphBuilderContext.h"
+
+#include <loco.h>
+#include <stdex/Memory.h>
+
+#include <tensorflow/core/framework/graph.pb.h>
+
+namespace
+{
+
+using namespace moco::tf;
+
+/**
+ * @brief GraphUpdate for TF SquaredDifference node
+ */
+class TFSquaredDifferenceGraphUpdate final : public GraphUpdate
+{
+public:
+  TFSquaredDifferenceGraphUpdate(TFSquaredDifference *node, std::vector<TensorName> names)
+      : _node(node), _names(names)
+  {
+  }
+
+  void input(const SymbolTable *) const override;
+
+private:
+  TFSquaredDifference *_node;
+  std::vector<TensorName> _names;
+};
+
+void TFSquaredDifferenceGraphUpdate::input(const SymbolTable *table) const
+{
+  int num_inputs = _names.size();
+  assert(num_inputs == 2);
+
+  _node->x(table->node(_names[0]));
+  _node->y(table->node(_names[1]));
+}
+
+} // namespace
+
+namespace moco
+{
+namespace tf
+{
+
+/**
+ * @brief GraphBuilder for SquaredDifference node
+ */
+class SquaredDifferenceGraphBuilder final : public GraphBuilder
+{
+public:
+  bool validate(const tensorflow::NodeDef &) const override;
+  void build(const tensorflow::NodeDef &, GraphBuilderContext *) const override;
+};
+
+bool SquaredDifferenceGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+  assert(node.input_size() == 2);
+
+  return true;
+}
+
+void SquaredDifferenceGraphBuilder::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 SquaredDifference node
+  auto tf_sqdiff = graph->nodes()->create<TFSquaredDifference>();
+
+  // register string-name to node
+  TensorName output_name(node.name(), 0);
+  tensor_names->enroll(output_name, tf_sqdiff);
+
+  std::vector<TensorName> add_input_names;
+  add_input_names.push_back(TensorName(node.input(0))); // x
+  add_input_names.push_back(TensorName(node.input(1))); // y
+
+  // Queue node input update
+  auto tf_sqrt_update =
+      stdex::make_unique<TFSquaredDifferenceGraphUpdate>(tf_sqdiff, add_input_names);
+  updates->enroll(std::move(tf_sqrt_update));
+}
+
+} // namespace tf
+} // namespace moco
+
+#include "GraphBuilderRegistry.h"
+
+REGISTER_OP_BUILDER(SquaredDifference, SquaredDifferenceGraphBuilder)
diff --git a/compiler/moco-tf/src/Op/SquaredDifference.test.cpp b/compiler/moco-tf/src/Op/SquaredDifference.test.cpp
new file mode 100644 (file)
index 0000000..1efe2ef
--- /dev/null
@@ -0,0 +1,136 @@
+/*
+ * 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/TFSquaredDifference.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 *sqdiff_basic_pbtxt = STRING_CONTENT(
+node {
+  name: "input_01"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 3
+        }
+        dim {
+          size: 3
+        }
+        dim {
+          size: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "input_02"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 3
+        }
+        dim {
+          size: 3
+        }
+        dim {
+          size: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "squared_difference"
+  op: "SquaredDifference"
+  input: "input_01"
+  input: "input_02"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+);
+// clang-format on
+
+} // namespace
+
+TEST(TensorFlowImport, tf_squdiff_basic)
+{
+  // load graph
+  moco::tf::Importer importer;
+  moco::tf::ModelSignature signature;
+  signature.add_output(moco::tf::TensorName("squared_difference", 0));
+
+  tensorflow::GraphDef graph_def;
+  EXPECT_TRUE(plier::tf::parse_graphdef(sqdiff_basic_pbtxt, graph_def));
+  std::unique_ptr<loco::Graph> graph = importer.import(signature, graph_def);
+
+  // what to test:
+  // - TFSquaredDifference node should exist
+  // - input x() should not be null
+  // - input y() should not be null
+
+  auto sqdiff_node =
+      moco::tf::test::find_first_node_bytype<moco::tf::TFSquaredDifference>(graph.get());
+
+  ASSERT_NE(sqdiff_node, nullptr);
+  ASSERT_NE(sqdiff_node->x(), nullptr);
+  ASSERT_NE(sqdiff_node->y(), nullptr);
+}