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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_BATCH_NORMALIZATION_LAYER_DATASET_H__
+#define __ARM_COMPUTE_TEST_DATASET_BATCH_NORMALIZATION_LAYER_DATASET_H__
+
+#include "TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/validation_old/dataset/GenericDataset.h"
+
+#include <ostream>
+#include <sstream>
+
+#ifdef BOOST
+#include "tests/validation_old/boost_wrapper.h"
+#endif /* BOOST */
+
+namespace arm_compute
+{
+namespace test
+{
+class BatchNormalizationLayerDataObject
+{
+public:
+ operator std::string() const
+ {
+ std::stringstream ss;
+ ss << "BatchNormalizationLayer";
+ ss << "_I" << shape0;
+ ss << "_I" << shape1;
+ ss << "_I" << epsilon;
+ return ss.str();
+ }
+
+ friend std::ostream &operator<<(std::ostream &s, const BatchNormalizationLayerDataObject &obj)
+ {
+ s << static_cast<std::string>(obj);
+ return s;
+ }
+
+public:
+ TensorShape shape0;
+ TensorShape shape1;
+ float epsilon;
+};
+
+template <unsigned int Size>
+using BatchNormalizationLayerDataset = GenericDataset<BatchNormalizationLayerDataObject, Size>;
+
+class RandomBatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset<3>
+{
+public:
+ RandomBatchNormalizationLayerDataset()
+ : GenericDataset
+ {
+ BatchNormalizationLayerDataObject{ TensorShape(15U, 16U, 2U, 12U), TensorShape(2U), 0.1f },
+ BatchNormalizationLayerDataObject{ TensorShape(21U, 11U, 12U, 7U), TensorShape(12U), 0.1f },
+ BatchNormalizationLayerDataObject{ TensorShape(7U, 3U, 6U, 11U), TensorShape(6U), 0.1f },
+ }
+ {
+ }
+
+ ~RandomBatchNormalizationLayerDataset() = default;
+};
+
+} // namespace test
+} // namespace arm_compute
+#endif //__ARM_COMPUTE_TEST_DATASET_BATCH_NORMALIZATION_LAYER_DATASET_H__