--- /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.
+ */
+
+#ifndef __MOCO_TF_IR_TFFUSEDBATCHNORM_H__
+#define __MOCO_TF_IR_TFFUSEDBATCHNORM_H__
+
+#include "Dialect/TFNodeDecl.h"
+
+namespace moco
+{
+namespace tf
+{
+
+class TFFusedBatchNorm final : public loco::FixedArityNode<5, TFNodeImpl<TFOpcode::FusedBatchNorm>>
+{
+public:
+ TFFusedBatchNorm() = default;
+
+public:
+ Node *input(void) const { return at(0)->node(); }
+ void input(Node *node) { at(0)->node(node); }
+
+ Node *gamma(void) const { return at(1)->node(); }
+ void gamma(Node *node) { at(1)->node(node); }
+
+ Node *beta(void) const { return at(2)->node(); }
+ void beta(Node *node) { at(2)->node(node); }
+
+ Node *mean(void) const { return at(3)->node(); }
+ void mean(Node *node) { at(3)->node(node); }
+
+ Node *variance(void) const { return at(4)->node(); }
+ void variance(Node *node) { at(4)->node(node); }
+
+ float epsilon(void) const { return _epsilon; }
+ void epsilon(float epsilon) { _epsilon = epsilon; }
+
+private:
+ float _epsilon = 0.001f;
+};
+
+} // namespace tf
+} // namespace moco
+
+#endif // __MOCO_TF_IR_TFFUSEDBATCHNORM_H__