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diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
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-/*
- * Copyright (c) 2017-2020 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_CLNORMALIZATIONLAYERKERNEL_H
-#define ARM_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H
-
-#include "arm_compute/core/CL/ICLKernel.h"
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Interface for the normalization layer kernel.
- */
-class CLNormalizationLayerKernel : public ICLKernel
-{
-public:
- /** Constructor */
- CLNormalizationLayerKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLNormalizationLayerKernel(const CLNormalizationLayerKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLNormalizationLayerKernel &operator=(const CLNormalizationLayerKernel &) = delete;
- /** Default Move Constructor. */
- CLNormalizationLayerKernel(CLNormalizationLayerKernel &&) = default;
- /** Default move assignment operator */
- CLNormalizationLayerKernel &operator=(CLNormalizationLayerKernel &&) = default;
- /** Set the input and output tensors.
- *
- * @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. Data layouts supported: NCHW/NHWC.
- * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
- * Data layouts supported: same as @p input.
- * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
- */
- void configure(const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info);
- /** Set the input and output tensors.
- *
- * @param[in] compile_context The compile context to be used.
- * @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. Data layouts supported: NCHW/NHWC.
- * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
- * Data layouts supported: same as @p input.
- * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
- */
- void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info);
- /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel
- *
- * @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. Data layouts supported: NCHW/NHWC.
- * @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
- * Data layouts supported: same as @p input.
- * @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, NormalizationLayerInfo norm_info);
-
- // Inherited methods overridden:
- void run(const Window &window, cl::CommandQueue &queue) override;
- BorderSize border_size() const override;
-
-private:
- const ICLTensor *_input;
- ICLTensor *_output;
- BorderSize _border_size;
- bool _is_norm_across_width;
-};
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CLNORMALIZATIONLAYERKERNEL_H */