| /* |
| * 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_NEBATCHNORMALIZATIONLAYER_H__ |
| #define __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYER_H__ |
| |
| #include "arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Basic function to run @ref NENormalizationLayerKernel and simulate a batch normalization layer. |
| * |
| * Batch normalization is calculated by: |
| * @f[ out_i = \gamma * (\frac{in_i - \mu_{B}}{\sqrt{\sigma^2_{B} + \epsilon}}) + \beta \equiv BN_{\gamma,\beta}(in_i) @f] |
| * |
| */ |
| class NEBatchNormalizationLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| NEBatchNormalizationLayer(); |
| /** 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: QS8/F32. |
| * @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] gamma Gamma 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] epsilon Small value to avoid division with zero. |
| * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input |
| */ |
| void configure(const ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| NEBatchNormalizationLayerKernel _norm_kernel; /**< Batch normalization layer kernel */ |
| }; |
| } |
| #endif /* __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYER_H__ */ |