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diff --git a/compiler/loco/include/loco/IR/Domain.h b/compiler/loco/include/loco/IR/Domain.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 __LOCO_IR_DOMAIN_H__
+#define __LOCO_IR_DOMAIN_H__
+
+namespace loco
+{
+
+/**
+ * @brief Describe the kind of (N-dimensional) loco values
+ *
+ * loco is an intermediate representation for neural network compiler, which mainly focuses on
+ * N-dimensional values (usually referred to as Tensor).
+ *
+ * There are several special cases for N-dimensional values according to its usage. For example,
+ * vision community often refers to 4D array as "FeatureMap".
+ *
+ * It is definitely possible to represent all of these special cases using Tensor, but that scheme
+ * may introduces some confusion (e.g. NCHW vs NHWC issue).
+ *
+ * loco distinguishes these special cases from Tensor in order to reduce such confusion.
+ *
+ * This "Domain" enum class enumerates all of these special cases that loco supports.
+ */
+enum class Domain
+{
+  Unknown,
+  Tensor,
+  Feature,
+  Filter,          /* 2D Convolution Filter */
+  DepthwiseFilter, /* Depthwise 2D Convolution Filter */
+  Bias,
+  Matrix,
+  /* ... */
+};
+
+} // namespace loco
+
+#endif // __LOCO_IR_DOMAIN_H__