From: 박세희/On-Device Lab(SR)/Principal Engineer/삼성전자 <saehie.park@samsung.com>
Date: Tue, 20 Aug 2019 08:16:44 +0000 (+0900)
Subject: [moco-tf] GraphBuilder for StopGradient (#6729)
X-Git-Tag: accepted/tizen/unified/20190903.052428~291
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=781ef47812e65da2a529169b0f68d03ce6175c0e;p=platform%2Fcore%2Fml%2Fnnfw.git

[moco-tf] GraphBuilder for StopGradient (#6729)

This will introduce GraphBuilder for StopGradient node to import as TFStopGradient IR

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

diff --git a/compiler/moco-tf/src/Op/StopGradient.cpp b/compiler/moco-tf/src/Op/StopGradient.cpp
new file mode 100644
index 0000000..dc28d6d
--- /dev/null
+++ b/compiler/moco-tf/src/Op/StopGradient.cpp
@@ -0,0 +1,105 @@
+/*
+ * 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/TFStopGradient.h"
+
+#include "GraphBuilder.h"
+#include "GraphBuilderContext.h"
+
+#include <loco.h>
+#include <plier/tf/Convert.h>
+#include <stdex/Memory.h>
+
+#include <tensorflow/core/framework/graph.pb.h>
+
+namespace
+{
+
+using namespace moco::tf;
+
+/**
+ * @brief GraphUpdate for TF StopGradient node
+ */
+class TFStopGradientGraphUpdate final : public GraphUpdate
+{
+public:
+  TFStopGradientGraphUpdate(TFStopGradient *node, TensorName &&name) : _node(node), _name(name) {}
+
+  void input(const SymbolTable *) const override;
+
+private:
+  TFStopGradient *_node;
+  TensorName _name;
+};
+
+void TFStopGradientGraphUpdate::input(const SymbolTable *table) const
+{
+  loco::Node *target = table->node(_name);
+  _node->input(target);
+}
+
+} // namespace
+
+namespace moco
+{
+namespace tf
+{
+
+/**
+ * @brief GraphBuilder for StopGradient node
+ */
+class StopGradientGraphBuilder final : public GraphBuilder
+{
+public:
+  bool validate(const tensorflow::NodeDef &) const override;
+  void build(const tensorflow::NodeDef &, GraphBuilderContext *) const override;
+};
+
+bool StopGradientGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+  assert(node.input_size() == 1);
+
+  return plier::tf::has_attrs(node, {"T"});
+}
+
+void StopGradientGraphBuilder::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 StopGradient node
+  auto tf_stopgradient = graph->nodes()->create<TFStopGradient>();
+
+  // register string-name to node
+  TensorName output_name(node.name(), 0);
+  tensor_names->enroll(output_name, tf_stopgradient);
+
+  // Queue node input update
+  auto tf_stopgradient_update =
+      stdex::make_unique<TFStopGradientGraphUpdate>(tf_stopgradient, TensorName(node.input(0)));
+  updates->enroll(std::move(tf_stopgradient_update));
+}
+
+} // namespace tf
+} // namespace moco
+
+#include "GraphBuilderRegistry.h"
+
+REGISTER_OP_BUILDER(StopGradient, StopGradientGraphBuilder)
diff --git a/compiler/moco-tf/src/Op/StopGradient.test.cpp b/compiler/moco-tf/src/Op/StopGradient.test.cpp
new file mode 100644
index 0000000..dd92fb8
--- /dev/null
+++ b/compiler/moco-tf/src/Op/StopGradient.test.cpp
@@ -0,0 +1,100 @@
+/*
+ * 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/TFStopGradient.h"
+
+#include <loco.h>
+#include <plier/tf/TestHelper.h>
+
+#include <gtest/gtest.h>
+
+#include <tensorflow/core/framework/graph.pb.h>
+
+using namespace moco::tf::test;
+
+namespace
+{
+// clang-format off
+const char *stopgradient_basic_pbtxt = STRING_CONTENT(
+node {
+  name: "Placeholder"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 2
+        }
+        dim {
+          size: 3
+        }
+        dim {
+          size: 4
+        }
+      }
+    }
+  }
+}
+node {
+  name: "StopGradient_01"
+  op: "StopGradient"
+  input: "Placeholder"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+);
+// clang-format on
+
+} // namespace
+
+TEST(TensorFlowImport, tf_stopgradient_basic)
+{
+  // load graph
+  moco::tf::Importer importer;
+  moco::tf::ModelSignature signature;
+  signature.add_output(moco::tf::TensorName("StopGradient_01", 0));
+
+  tensorflow::GraphDef graph_def;
+  EXPECT_TRUE(plier::tf::parse_graphdef(stopgradient_basic_pbtxt, graph_def));
+  std::unique_ptr<loco::Graph> graph = importer.import(signature, graph_def);
+
+  // what to test:
+  // - TFStopGradient node should exist
+  // - input() should not be null
+
+  auto node = moco::tf::test::find_first_node_bytype<moco::tf::TFStopGradient>(graph.get());
+
+  ASSERT_NE(node, nullptr);
+  ASSERT_NE(node->input(), nullptr);
+}