| /* |
| * Copyright (c) 2017-2020, 2023 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 ACL_SRC_CORE_NEON_KERNELS_NEBATCHNORMALIZATIONLAYERKERNEL_H |
| #define ACL_SRC_CORE_NEON_KERNELS_NEBATCHNORMALIZATIONLAYERKERNEL_H |
| |
| #include "arm_compute/function_info/ActivationLayerInfo.h" |
| |
| #include "src/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| // Forward declarations |
| class ITensor; |
| |
| /** Interface for the batch normalization layer kernel. |
| */ |
| class NEBatchNormalizationLayerKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEBatchNormalizationLayerKernel"; |
| } |
| /** 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: 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. 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. |
| */ |
| void configure(ITensor *input, |
| ITensor *output, |
| const ITensor *mean, |
| const ITensor *var, |
| const ITensor *beta = nullptr, |
| const ITensor *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 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: 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, const ThreadInfo &info) override; |
| |
| private: |
| /** Configure execution function in case of non-fused activation **/ |
| void configure_non_fused(); |
| /** Configure execution function in case of fused activation **/ |
| void configure_fused(); |
| |
| /** Common signature for all the batch normalization functions |
| * |
| * @param[in] window Region on which to execute the kernel. |
| */ |
| using BatchNormFunctionPtr = void (*)(const Window &window, |
| ITensor *input, |
| ITensor *output, |
| const ITensor *mean, |
| const ITensor *var, |
| const ITensor *beta, |
| const ITensor *gamma, |
| float epsilon, |
| ActivationLayerInfo act_info); |
| |
| private: |
| BatchNormFunctionPtr _func; |
| ITensor *_input; |
| ITensor *_output; |
| const ITensor *_mean; |
| const ITensor *_var; |
| const ITensor *_gamma; |
| const ITensor *_beta; |
| float _epsilon; |
| ActivationLayerInfo _act_info; |
| }; |
| } // namespace arm_compute |
| #endif // ACL_SRC_CORE_NEON_KERNELS_NEBATCHNORMALIZATIONLAYERKERNEL_H |