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diff --git a/compiler/mir/include/mir/ops/ResizeOp.h b/compiler/mir/include/mir/ops/ResizeOp.h
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+++ b/compiler/mir/include/mir/ops/ResizeOp.h
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+/*
+ * Copyright (c) 2018 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 _MIR_OPS_RESIZE_OP_H_
+#define _MIR_OPS_RESIZE_OP_H_
+
+#include "mir/Operation.h"
+#include "mir/Shape.h"
+#include <vector>
+#include <cmath>
+
+namespace mir
+{
+namespace ops
+{
+
+/**@brief Resize operation
+ * scales are such that output = input * scale for each dimension
+ * and the number of dimensions matches
+ */
+class ResizeOp : public Operation
+{
+public:
+  enum class ResizeMethod
+  {
+    nearestNeighbor, // TODO: BICUBIC and BILINEAR
+  };
+
+  ResizeOp(Output *arg, ResizeMethod mode, const std::vector<float> &scales)
+      : Operation(Type::resizeIm, {arg}), _mode(mode), _scales(scales)
+  {
+    // Infer output shape based on given scales.
+    auto &input_shape = getInputShape(0);
+    assert(input_shape.rank() == 4 && _scales.size() == 4);
+    Shape output_shape(input_shape.rank());
+
+    for (int32_t i = 0; i < input_shape.rank(); ++i)
+    {
+      output_shape.dim(i) = static_cast<int32_t>(lroundf(_scales.at(i) * input_shape.dim(i)));
+    }
+
+    setOutputType(0, {getInput(0)->getElementType(), output_shape});
+  }
+
+  Operation *copyWithInputs(const std::vector<Output *> &inputs) override
+  {
+    return new ResizeOp(inputs[0], _mode, getOutputShape(0));
+  }
+
+  ResizeOp(Output *arg, ResizeMethod mode, const Shape &output_shape)
+      : Operation(Type::resizeIm, {arg}), _mode(mode)
+  {
+    // Calculate scales based on given shape.
+    auto &input_shape = getInputShape(0);
+    assert(input_shape.rank() == 4 && output_shape.rank() == 4);
+    setOutputType(0, {getInput(0)->getElementType(), output_shape});
+    _scales = {1.0f, static_cast<float>(output_shape.dim(1)) / input_shape.dim(1),
+               static_cast<float>(output_shape.dim(2)) / input_shape.dim(2), 1.0f};
+  }
+
+  /** @return The resize mode */
+  ResizeMethod getMode() const { return _mode; }
+
+  const std::vector<float> &getScales() const { return _scales; }
+
+private:
+  std::vector<float> _scales;
+  ResizeMethod _mode;
+};
+
+} // namespace ops
+} // namespace mir
+
+#endif //_MIR_OPS_RESIZE_OP_H_