1 files changed, 90 insertions, 0 deletions
diff --git a/compiler/moco-tf/src/Optimizer.cpp b/compiler/moco-tf/src/Optimizer.cpp
new file mode 100644
index 000000000..f33b4109b
--- /dev/null
+++ b/compiler/moco-tf/src/Optimizer.cpp
@@ -0,0 +1,90 @@
+/*
+ * 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 "Optimizer.h"
+
+#include "Knob.h"
+#include "ProgressReporter.h"
+#include "Transforms.h"
+
+#include <logo/Phase.h>
+
+#include <stdex/Memory.h>
+
+namespace moco
+{
+namespace tf
+{
+
+void Optimizer::optimize(loco::Graph *g) const
+{
+  logo::Phase phase;
+
+  /* TRANSFORM DECLARATION BEGIN */
+  // Shape inference is required for ResolveRedundantReshape
+  phase.emplace_back(stdex::make_unique<ShapeInferencePass>());
+
+  if (moco::tf::get<moco::tf::Knob::ConstantFolding>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::ConstantFoldingPass>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::RemoveDeadNode>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::RemoveDeadNodePass>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::ReorderDecode>() &&
+      moco::tf::get<moco::tf::Knob::ReorderDecodeTensorBiasAdd>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::ReorderDecodePass<loco::TensorBiasAdd>>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::ReorderDecode>() &&
+      moco::tf::get<moco::tf::Knob::ReorderDecodeReLU>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::ReorderDecodePass<loco::ReLU>>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::SimplifyDomainConversion>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::SimplifyDomainConversionPass>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::RemoveForwardNode>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::RemoveForwardNodePass>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::ResolveDuplicateReshape>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::ResolveDuplicateReshapePass>());
+  }
+
+  if (moco::tf::get<moco::tf::Knob::ResolveRedundantReshape>())
+  {
+    phase.emplace_back(stdex::make_unique<logo::ResolveRedundantReshapePass>());
+  }
+  /* TRANSFORM DECLARATION END */
+
+  ProgressReporter prog(g, logo::PhaseStrategy::Saturate);
+  logo::PhaseRunner<logo::PhaseStrategy::Saturate> phase_runner{g};
+  phase_runner.attach(&prog);
+  phase_runner.run(phase);
+}
+
+} // namespace tf
+} // namespace moco