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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2016-2018 ARM Limited.
+ *
+ * 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 __ARM_COMPUTE_CLNORMALIZATIONLAYEREX_H__
+#define __ARM_COMPUTE_CLNORMALIZATIONLAYEREX_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
+#include "arm_compute/core/CL/kernels/CLNormalizationLayerExKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Basic function to compute a normalization layer. This function calls the following CL kernels:
+ *
+ * -# @ref CLFillBorderKernel
+ * -# @ref CLNormalizationLayerKernelEx
+ *
+ */
+class CLNormalizationLayerEx : public IFunction
+{
+public:
+ /** Default constructor */
+ CLNormalizationLayerEx();
+ /** Set the input and output tensors.
+ *
+ * @param[in, out] input Source tensor. 3 lower dims represent a single input with dimensions
+ * [width, height, IFM],
+ * and an optional 4th dimension for batch of inputs. Data types
+ * supported: F16/F32 (Written to by the border handler)
+ * @param[out] output Destination tensor. Dimensions, data type and number of channels must
+ * match the input ones.
+ * @param[in] norm_info Normalization layer information like the normalization type,
+ * normalization size and other parameters.
+ */
+ void configure(ICLTensor *input, ICLTensor *output, const NormalizationLayerInfo &norm_info);
+ /** Static function to check if given info will lead to a valid configuration of @ref
+ * CLNormalizationLayer
+ *
+ * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions
+ * [width, height, IFM],
+ * and an optional 4th dimension for batch of inputs. Data types supported:
+ * F16/F32
+ * @param[in] output Destination tensor. Dimensions, data type and number of channels must
+ * match the input ones.
+ * @param[in] norm_info Normalization layer information like the normalization type, normalization
+ * size and other parameters.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output,
+ const NormalizationLayerInfo &norm_info);
+
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ CLNormalizationLayerExKernel _norm_kernel; /**< Normalization layer kernel to run */
+ CLFillBorderKernel _border_handler; /**< Kernel to handle borders */
+};
+}
+#endif /* __ARM_COMPUTE_CLNORMALIZATIONLAYEREX_H__ */