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diff --git a/compiler/moco-tf/src/TFReduceCanonicalzeHelper.h b/compiler/moco-tf/src/TFReduceCanonicalzeHelper.h
new file mode 100644
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+++ b/compiler/moco-tf/src/TFReduceCanonicalzeHelper.h
@@ -0,0 +1,118 @@
+/*
+ * 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 __TF_REDUCE_CANONICALIZE_HELPER_H__
+#define __TF_REDUCE_CANONICALIZE_HELPER_H__
+
+#include <moco/IR/TFDialect.h>
+#include <moco/IR/TFNodes.h>
+
+#include <loco/Service/ShapeInference.h>
+
+#include <moco/Log.h>
+
+namespace
+{
+
+template <typename TFNodeT> loco::ReduceFunc reduceFunc(void);
+
+template <> loco::ReduceFunc reduceFunc<moco::TFMean>(void) { return loco::ReduceFunc::Mean; }
+
+template <typename TFNode> bool canonicalize_reduce_node(TFNode *node)
+{
+  LOGGER(l);
+
+  INFO(l) << "TFNodeCanonicalize ReduceNode begin";
+
+  auto graph = node->graph();
+
+  /**
+   * This will replace T/F Reduce node with a corresponding Canonical Reduce node
+   *
+   * BEFORE
+   *   reduction_indices -------- T/F Node -- C
+   *               input -------/
+   *
+   * AFTER
+   *                      +------ T/F Node --
+   *                      |     /
+   *   reduction_indices -------
+   *                      |     \
+   *               input -+------ Canonical Node -- C
+   *
+   * NOTE
+   *   - T/F Node is disconnected from C after transformation
+   */
+
+  // TFSqueeze had to be inserted if keep_dims() was false
+  assert(node->keep_dims());
+
+  auto axes_node = node->reduction_indices();
+  assert(axes_node != nullptr);
+
+  auto node_tensor_shape = loco::shape_get(node).template as<loco::TensorShape>();
+
+  // Canonicalization into TensorReduce is valid when reduction indices is constant
+  // TODO Support general TensorReduce case
+  std::vector<int32_t> axes_values;
+  if (auto const_axes = dynamic_cast<moco::TFConst *>(axes_node))
+  {
+    // TODO Support S64 type
+    assert(const_axes->dtype() == loco::DataType::S32);
+
+    for (uint32_t i = 0; i < const_axes->size<loco::DataType::S32>(); ++i)
+    {
+      int32_t axis = const_axes->at<loco::DataType::S32>(i);
+      if (axis < 0)
+        axis += node_tensor_shape.rank();
+      axes_values.push_back(axis);
+    }
+  }
+  else if (auto const_axes = dynamic_cast<loco::ConstGen *>(axes_node))
+  {
+    // TODO Support S64 type
+    assert(const_axes->dtype() == loco::DataType::S32);
+
+    for (uint32_t i = 0; i < const_axes->size<loco::DataType::S32>(); ++i)
+    {
+      int32_t axis = const_axes->at<loco::DataType::S32>(i);
+      if (axis < 0)
+        axis += node_tensor_shape.rank();
+      axes_values.push_back(axis);
+    }
+  }
+  else
+    return false;
+
+  // Create loco node to replace
+  auto reduce = graph->nodes()->template create<loco::TensorReduce>();
+
+  // replace
+  reduce->func(reduceFunc<TFNode>());
+  reduce->input(node->input());
+  for (uint32_t i = 0; i < axes_values.size(); ++i)
+    reduce->axes()->insert(axes_values.at(i));
+
+  replace(node).with(reduce);
+
+  INFO(l) << "TFNodeCanonicalize ReduceNode done";
+
+  return true;
+}
+
+} // namespace
+
+#endif // __TF_REDUCE_CANONICALIZE_HELPER_H__