1 files changed, 123 insertions, 0 deletions
diff --git a/compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp b/compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp
new file mode 100644
index 000000000..d2fa3d1eb
--- /dev/null
+++ b/compiler/moco/import/src/Nodes/FakeQuantWithMinMaxVars.cpp
@@ -0,0 +1,123 @@
+/*
+ * 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 "moco/Import/Nodes/FakeQuantWithMinMaxVars.h"
+
+#include <moco/IR/Nodes/TFFakeQuantWithMinMaxVars.h>
+
+#include <moco/Names.h>
+
+#include "Convert.h"
+
+#include <plier/tf/Convert.h>
+#include <loco/IR/PermutingCodec.h>
+#include <stdex/Memory.h>
+
+#include <cassert>
+
+using namespace plier::tf;
+
+namespace
+{
+using namespace moco;
+
+class TFFakeQuantWithMinMaxVarsGraphUpdate final : public GraphUpdate
+{
+public:
+  TFFakeQuantWithMinMaxVarsGraphUpdate(TFFakeQuantWithMinMaxVars *node,
+                                       std::vector<TensorName> names)
+      : _node(node), _names(names)
+  {
+  }
+
+  void input(const SymbolTable *) const override;
+
+private:
+  TFFakeQuantWithMinMaxVars *_node;
+  std::vector<TensorName> _names;
+};
+
+void TFFakeQuantWithMinMaxVarsGraphUpdate::input(const SymbolTable *node_table) const
+{
+  assert(_names.size() == 3);
+
+  auto inputs_node = node_table->node(_names[0]);
+  auto min_node = node_table->node(_names[1]);
+  auto max_node = node_table->node(_names[2]);
+  assert(inputs_node != nullptr);
+  assert(min_node != nullptr);
+  assert(max_node != nullptr);
+
+  _node->inputs(inputs_node);
+  _node->min(min_node);
+  _node->max(max_node);
+}
+
+} // namespace
+
+namespace moco
+{
+
+bool FakeQuantWithMinMaxVarsGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+  if (node.input_size() != 3)
+    return false;
+
+  // attrs "narrow_range", "num_bits" are optional
+  return true;
+}
+
+void FakeQuantWithMinMaxVarsGraphBuilder::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();
+
+  auto fakequant_node = graph->nodes()->create<TFFakeQuantWithMinMaxVars>();
+  fakequant_node->name(node.name());
+
+  // read optional attributes
+  if (has_attr(node, "num_bits"))
+  {
+    auto num_bits = get_int_attr(node, "num_bits");
+    fakequant_node->num_bits(num_bits);
+  }
+  if (has_attr(node, "narrow_range"))
+  {
+    auto narrow_range = get_bool_attr(node, "narrow_range");
+    fakequant_node->narrow_range(narrow_range);
+  }
+
+  // save the name for graph link updates
+  TensorName output_name(node.name(), 0);
+  tensor_names->enroll(output_name, fakequant_node);
+
+  std::vector<TensorName> input_names;
+  input_names.push_back(TensorName(node.input(0))); // inputs
+  input_names.push_back(TensorName(node.input(1))); // min
+  input_names.push_back(TensorName(node.input(2))); // max
+
+  // Record ifm inputs to featureEncode_node
+  auto tffakequant_update =
+      stdex::make_unique<TFFakeQuantWithMinMaxVarsGraphUpdate>(fakequant_node, input_names);
+
+  updates->enroll(std::move(tffakequant_update));
+}
+
+} // namespace moco