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diff --git a/runtime/onert/core/include/util/ShapeInference.h b/runtime/onert/core/include/util/ShapeInference.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 __ONERT_GRAPH_SHAPE_INFERENCE_H__
+#define __ONERT_GRAPH_SHAPE_INFERENCE_H__
+
+#include "ir/operation/AvgPool2D.h"
+#include "ir/operation/Concat.h"
+#include "ir/operation/MaxPool2D.h"
+#include "ir/operation/Conv2D.h"
+#include "ir/operation/DepthwiseConv2D.h"
+#include "ir/operation/Reshape.h"
+#include "ir/Operands.h"
+#include "ir/Index.h"
+#include "ir/Layout.h"
+#include "ir/OperationVisitor.h"
+
+namespace onert
+{
+namespace shape_inference
+{
+
+using Shapes = std::vector<ir::Shape>;
+
+Shapes inferEltwiseShape(const ir::Shape &lhs_shape, const ir::Shape &rhs_shape);
+
+Shapes inferAvgPoolShape(const ir::Shape &in_shape, const ir::operation::AvgPool2D::Param &param,
+                         ir::Layout layout = ir::Layout::NHWC);
+
+Shapes inferConcatShape(const Shapes &in_shapes, const ir::operation::Concat::Param &param);
+
+Shapes inferMaxPoolShape(const ir::Shape &in_shape, const ir::operation::MaxPool2D::Param &param,
+                         ir::Layout layout = ir::Layout::NHWC);
+
+Shapes inferConv2DShape(const ir::Shape &in_shape, const ir::Shape &ker_shape,
+                        const ir::operation::Conv2D::Param &param,
+                        ir::Layout layout = ir::Layout::NHWC);
+
+Shapes inferDepthwiseConv2DShape(const ir::Shape &in_shape, const ir::Shape &ker_shape,
+                                 const ir::operation::DepthwiseConv2D::Param &param,
+                                 ir::Layout layout = ir::Layout::NHWC);
+
+Shapes inferFullyConnectedShape(const ir::Shape &in_shape, const ir::Shape &ker_shape);
+
+/**
+ * @brief Class to infer shape before running kernels. It does the following:
+ *        - re-calculate and set output shape at compile time (before running kernels)
+ *        - if calculation cannot be done at compile time, mark the outputs to be dynamic, meaning
+ *          shapes of outputs will be calculated during running kernels
+ */
+class StaticInferer : public ir::OperationVisitor
+{
+public:
+  StaticInferer(ir::Operands &operands) : _operands(operands) { /* empty */}
+  virtual ~StaticInferer() = default;
+
+public:
+  /**
+   * @brief Infer shape of operands beloning to ops and set the output shape.
+   *        If output shape cannot be known without running op, mark it so that it can be allocated
+   *        when running kernel.
+   * @param op_seq sequence of operations
+   */
+  void infer(const ir::OpSequence &op_seq) { op_seq.accept(*this); };
+
+private:
+  // TODO Define visitors for operations. List them in alphabetic order.
+  void visit(const ir::operation::Reshape &op);
+
+private:
+  ir::Operands &_operands;
+};
+
+} // namespace shape_inference
+} // namespace onert
+
+#endif // __ONERT_GRAPH_SHAPE_INFERENCE_H__