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diff --git a/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h
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-/*
- * Copyright (c) 2019 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_NEINSTANCENORMALIZATIONLAYERKERNEL_H
-#define ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYERKERNEL_H
-
-#include "arm_compute/core/NEON/INEKernel.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** Interface for performing an instance normalization */
-class NEInstanceNormalizationLayerKernel : public INEKernel
-{
-public:
- const char *name() const override
- {
- return "NEInstanceNormalizationLayerKernel";
- }
- /** Default constructor */
- NEInstanceNormalizationLayerKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- NEInstanceNormalizationLayerKernel(const NEInstanceNormalizationLayerKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- NEInstanceNormalizationLayerKernel &operator=(const NEInstanceNormalizationLayerKernel &) = delete;
- /** Allow instances of this class to be moved */
- NEInstanceNormalizationLayerKernel(NEInstanceNormalizationLayerKernel &&) = default;
- /** Allow instances of this class to be moved */
- NEInstanceNormalizationLayerKernel &operator=(NEInstanceNormalizationLayerKernel &&) = default;
- /** Default destructor */
- ~NEInstanceNormalizationLayerKernel() = default;
- /** Set the input and output tensors.
- *
- * @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW
- * In case of @p output tensor = nullptr this tensor will store the result of the normalization.
- * @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
- * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
- * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
- * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
- */
- void configure(ITensor *input, ITensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f);
-
- /** Static function to check if given info will lead to a valid configuration of @ref NEInstanceNormalizationLayer.
- *
- * @param[in] input Source tensor info. Data types supported: F16/F32. Data layout supported: NCHW
- * @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
- * @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
- * @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
- * @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f);
-
- // Inherited methods overridden:
- void run(const Window &window, const ThreadInfo &info) override;
-
-private:
- /** Common signature for all the specialized instance normalization functions
- *
- * @param[in, out] input An input tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
- * @param[out] output The output tensor.
- * @param[in] gamma The scale scalar value applied to the normalized tensor. Defaults to 1.0
- * @param[in] beta The offset scalar value applied to the normalized tensor. Defaults to 0.0
- * @param[in] epsilon Lower bound value for the normalization. Defaults to 1e-12
- */
- using NormalizationFunction = void(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window);
-
- NormalizationFunction *_func;
- ITensor *_input;
- ITensor *_output;
- float _gamma;
- float _beta;
- float _epsilon;
-};
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYERKERNEL_H */