| /* |
| * 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_NEBATCHNORMALIZATIONLAYERKERNEL_H__ |
| #define __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Interface for the batch normalization layer kernel. |
| */ |
| class NEBatchNormalizationLayerKernel : public INEKernel |
| { |
| public: |
| /** Default constructor */ |
| NEBatchNormalizationLayerKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEBatchNormalizationLayerKernel(const NEBatchNormalizationLayerKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEBatchNormalizationLayerKernel &operator=(const NEBatchNormalizationLayerKernel &) = delete; |
| /** Default Move Constructor. */ |
| NEBatchNormalizationLayerKernel(NEBatchNormalizationLayerKernel &&) = default; |
| /** Default move assignment operator. */ |
| NEBatchNormalizationLayerKernel &operator=(NEBatchNormalizationLayerKernel &&) = default; |
| /** Default destructor */ |
| ~NEBatchNormalizationLayerKernel() = default; |
| /** Set the input and output tensors. |
| * |
| * @note If the output tensor is a nullptr, the batch normalization function will be performed in-place |
| * |
| * @param[in, out] input Source tensor. In case of @p output tensor = 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: QS8/QS16/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 Beta values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| * @param[in] gamma Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| * @param[in] epsilon Small value to avoid division with zero. |
| */ |
| void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEBatchNormalizationLayerKernel |
| * |
| * @param[in] input Source tensor info. In case of @p output tensor = 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: QS8/QS16/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 Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| * @param[in] gamma Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| * @param[in] epsilon Small value to avoid division with zero. |
| * |
| * @return an error status |
| */ |
| static Error validate(const ITensorInfo *input, const ITensorInfo *output, |
| const ITensorInfo *mean, const ITensorInfo *var, |
| const ITensorInfo *beta, const ITensorInfo *gamma, |
| float epsilon); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| using BatchNormFunction = void(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon, const Window &window); |
| BatchNormFunction *_func; |
| ITensor *_input; |
| ITensor *_output; |
| const ITensor *_mean; |
| const ITensor *_var; |
| const ITensor *_gamma; |
| const ITensor *_beta; |
| float _epsilon; |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__ */ |