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-/*
- * Copyright (c) 2017-2019 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_GCBATCHNORMALIZATIONLAYERKERNEL_H
-#define ARM_COMPUTE_GCBATCHNORMALIZATIONLAYERKERNEL_H
-
-#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
-
-namespace arm_compute
-{
-class IGCTensor;
-
-/** Interface for the BatchNormalization layer kernel.
- */
-class GCBatchNormalizationLayerKernel : public IGCKernel
-{
-public:
- /** Constructor */
- GCBatchNormalizationLayerKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- GCBatchNormalizationLayerKernel(const GCBatchNormalizationLayerKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- GCBatchNormalizationLayerKernel &operator=(const GCBatchNormalizationLayerKernel &) = delete;
- /** Default Move Constructor. */
- GCBatchNormalizationLayerKernel(GCBatchNormalizationLayerKernel &&) = default;
- /** Default move assignment operator */
- GCBatchNormalizationLayerKernel &operator=(GCBatchNormalizationLayerKernel &&) = default;
- /** Default destructor */
- ~GCBatchNormalizationLayerKernel() = default;
-
- /** Set the input and output tensors.
- *
- * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM].
- * The rest are optional and used for representing batches. Data types supported: F16/F32.
- * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input
- * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
- * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
- * @param[in] beta (Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as @p input
- * @param[in] gamma (Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as @p input
- * @param[in] epsilon (optional) Small value to avoid division with zero.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.
- */
- void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *var, const IGCTensor *beta = nullptr, const IGCTensor *gamma = nullptr, float epsilon = 0.001f,
- ActivationLayerInfo act_info = ActivationLayerInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref GCBatchNormalizationLayerKernel
- *
- * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result.
- * 3 lower dimensions represent a single input with dimensions [width, height, FM].
- * The rest are optional and used for representing batches. Data types supported: F16/F32.
- * @param[in] output Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input
- * @param[in] mean Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
- * @param[in] var Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
- * @param[in] beta (Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as @p input
- * @param[in] gamma (Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as @p input
- * @param[in] epsilon (Optional) Small value to avoid division with zero. Default value is 0.001f.
- * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output,
- const ITensorInfo *mean, const ITensorInfo *var,
- const ITensorInfo *beta = nullptr, const ITensorInfo *gamma = nullptr,
- float epsilon = 0.001f, ActivationLayerInfo act_info = ActivationLayerInfo());
-
- // Inherited methods overridden:
- void run(const Window &window) override;
-
-private:
- const IGCTensor *_input;
- IGCTensor *_output;
- const IGCTensor *_mean;
- const IGCTensor *_var;
- const IGCTensor *_beta;
- const IGCTensor *_gamma;
- float _epsilon;
-};
-}
-#endif /*ARM_COMPUTE_GCBATCHNORMALIZATIONLAYERKERNEL_H */