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diff --git a/compiler/nnc/include/passes/optimizations/FuseArithmeticOps.h b/compiler/nnc/include/passes/optimizations/FuseArithmeticOps.h
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+++ b/compiler/nnc/include/passes/optimizations/FuseArithmeticOps.h
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+/*
+ * 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 NNCC_FUSE_ARITHMETIC_OPS_H
+#define NNCC_FUSE_ARITHMETIC_OPS_H
+
+#include "pass/Pass.h"
+#include "pass/PassData.h"
+
+namespace nnc
+{
+
+/**
+ * @brief Main purpose of this pass - is to fuse 'Conv->BatchNorm' into 'Conv'
+ * Currently 'BatchNorm' split by NNC frontends into 'Scale->Scale->BiasAdd'
+ * This optimization performs in two steps (repeated while graph changing):
+ *   1. Fuse two successive operations with constant weights into one (ex: 'Scale->Scale' becomes
+ * 'Scale')
+ *   2. Sink 'BiasAdd' through 'Scale' (so 'Conv->BiasAdd->Scale' becomes 'Conv->Scale->BiasAdd')
+ */
+class FuseArithmeticOps : public Pass
+{
+public:
+  PassData run(PassData data) override;
+
+  std::string getName() override { return "FuseArithmeticOps"; }
+};
+
+} // namespace nnc
+
+#endif // NNCC_FUSE_ARITHMETIC_OPS_H