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diff --git a/compiler/mir-caffe-importer/caffe_op_creator.h b/compiler/mir-caffe-importer/caffe_op_creator.h
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+++ b/compiler/mir-caffe-importer/caffe_op_creator.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_CAFFE_OP_CREATOR_H
+#define MIR_CAFFE_OP_CREATOR_H
+
+#include <set>
+#include <map>
+#include <vector>
+#include <memory>
+
+#include "mir/Graph.h"
+#include "mir/TensorVariant.h"
+#include "mir/Shape.h"
+
+#include "caffe/proto/caffe.pb.h"
+
+namespace mir_caffe
+{
+
+class CaffeOpCreator
+{
+public:
+  explicit CaffeOpCreator(mir::Graph *g) : _graph(g){};
+
+  std::vector<mir::Operation::Output *> convertInput(const caffe::LayerParameter &layer);
+
+  std::vector<mir::Operation::Output *>
+  convertConvolution(const caffe::LayerParameter &layer,
+                     const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertInnerProduct(const caffe::LayerParameter &layer,
+                      const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertConcat(const caffe::LayerParameter &layer,
+                const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertPooling(const caffe::LayerParameter &layer,
+                 const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertSoftmax(const caffe::LayerParameter &layer,
+                 const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertReshape(const caffe::LayerParameter &layer,
+                 const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertReLU(const caffe::LayerParameter &layer,
+              const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertScale(const caffe::LayerParameter &layer,
+               const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertBatchNorm(const caffe::LayerParameter &layer,
+                   const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertDropout(const caffe::LayerParameter &layer,
+                 const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertDeconvolution(const caffe::LayerParameter &layer,
+                       const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertELU(const caffe::LayerParameter &layer,
+             const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertEmbed(const caffe::LayerParameter &layer,
+               const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertSigmoid(const caffe::LayerParameter &layer,
+                 const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertTanH(const caffe::LayerParameter &layer,
+              const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertEltwise(const caffe::LayerParameter &layer,
+                 const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertSplit(const caffe::LayerParameter &layer,
+               const std::vector<mir::Operation::Output *> &inputs);
+
+  std::vector<mir::Operation::Output *>
+  convertLSTM(const caffe::LayerParameter &layer,
+              const std::vector<mir::Operation::Output *> &inputs);
+
+  void checkConvolution(const caffe::LayerParameter &layer,
+                        std::set<std::string> &problems_ops_set);
+
+  void checkPooling(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
+
+  void checkReshape(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
+
+  void checkBatchNorm(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
+
+  void checkLSTM(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
+
+private:
+  mir::Graph *_graph = nullptr;
+
+  std::vector<mir::Operation::Output *> createSplit(mir::Operation::Output *arg, int32_t num_parts,
+                                                    int32_t axis);
+
+  mir::Operation::Output *createFullyConnected(mir::Operation::Output *input,
+                                               mir::Operation::Output *weights, int32_t axis);
+
+  mir::TensorVariant convertBlob(const caffe::BlobProto &blob);
+
+  template <typename OpType, typename... Types> mir::Operation *createOp(Types &&... args);
+};
+
+template <typename OpType, typename... Types>
+mir::Operation *CaffeOpCreator::createOp(Types &&... args)
+{
+  return _graph->create<OpType>(std::forward<Types>(args)...);
+}
+
+} // namespace mir_caffe
+
+#endif // MIR_CAFFE_OP_CREATOR_H