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+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__
+#define __ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__
+
+#include "TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "dataset/GenericDataset.h"
+
+#include <sstream>
+#include <type_traits>
+
+#ifdef BOOST
+#include "boost_wrapper.h"
+#endif
+
+namespace arm_compute
+{
+namespace test
+{
+class NormalizationLayerDataObject
+{
+public:
+    operator std::string() const
+    {
+        std::stringstream ss;
+        ss << "NormalizationLayer";
+        ss << "_I" << shape;
+        ss << "_F_" << info.type();
+        ss << "_S_" << info.norm_size();
+        return ss.str();
+    }
+
+public:
+    TensorShape            shape;
+    NormalizationLayerInfo info;
+};
+
+template <unsigned int Size>
+using NormalizationLayerDataset = GenericDataset<NormalizationLayerDataObject, Size>;
+
+class GoogLeNetNormalizationLayerDataset final : public NormalizationLayerDataset<2>
+{
+public:
+    GoogLeNetNormalizationLayerDataset()
+        : GenericDataset
+    {
+        // conv2/norm2
+        NormalizationLayerDataObject{ TensorShape(56U, 56U, 192U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) },
+        // pool1/norm1
+        NormalizationLayerDataObject{ TensorShape(56U, 56U, 64U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) }
+    }
+    {
+    }
+
+    ~GoogLeNetNormalizationLayerDataset() = default;
+};
+
+class AlexNetNormalizationLayerDataset final : public NormalizationLayerDataset<2>
+{
+public:
+    AlexNetNormalizationLayerDataset()
+        : GenericDataset
+    {
+        NormalizationLayerDataObject{ TensorShape(55U, 55U, 96U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) },
+        NormalizationLayerDataObject{ TensorShape(27U, 27U, 256U), NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f) },
+    }
+    {
+    }
+
+    ~AlexNetNormalizationLayerDataset() = default;
+};
+
+} // namespace test
+} // namespace arm_compute
+#endif //__ARM_COMPUTE_TEST_DATASET_NORMALIZATION_LAYER_DATASET_H__