Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 1 | /* |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef __ARM_COMPUTE_GCBATCHNORMALIZATIONLAYERKERNEL_H__ |
| 25 | #define __ARM_COMPUTE_GCBATCHNORMALIZATIONLAYERKERNEL_H__ |
| 26 | |
| 27 | #include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" |
| 28 | |
| 29 | namespace arm_compute |
| 30 | { |
| 31 | class IGCTensor; |
| 32 | |
| 33 | /** Interface for the BatchNormalization layer kernel. |
| 34 | */ |
| 35 | class GCBatchNormalizationLayerKernel : public IGCKernel |
| 36 | { |
| 37 | public: |
| 38 | /** Constructor */ |
| 39 | GCBatchNormalizationLayerKernel(); |
| 40 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 41 | GCBatchNormalizationLayerKernel(const GCBatchNormalizationLayerKernel &) = delete; |
| 42 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 43 | GCBatchNormalizationLayerKernel &operator=(const GCBatchNormalizationLayerKernel &) = delete; |
| 44 | /** Default Move Constructor. */ |
| 45 | GCBatchNormalizationLayerKernel(GCBatchNormalizationLayerKernel &&) = default; |
Alex Gilday | c357c47 | 2018-03-21 13:54:09 +0000 | [diff] [blame] | 46 | /** Default move assignment operator */ |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 47 | GCBatchNormalizationLayerKernel &operator=(GCBatchNormalizationLayerKernel &&) = default; |
| 48 | /** Default destructor */ |
| 49 | ~GCBatchNormalizationLayerKernel() = default; |
| 50 | |
| 51 | /** Set the input and output tensors. |
| 52 | * |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 53 | * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM]. |
| 54 | * The rest are optional and used for representing batches. Data types supported: F16/F32. |
| 55 | * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input |
| 56 | * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 57 | * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 58 | * @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 |
| 59 | * @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 |
| 60 | * @param[in] epsilon (optional) Small value to avoid division with zero. |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 61 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 62 | */ |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 63 | 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, |
Giorgio Arena | 1167487 | 2018-02-07 15:38:12 +0000 | [diff] [blame] | 64 | ActivationLayerInfo act_info = ActivationLayerInfo()); |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 65 | /** Static function to check if given info will lead to a valid configuration of @ref GCBatchNormalizationLayerKernel |
| 66 | * |
| 67 | * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result. |
| 68 | * 3 lower dimensions represent a single input with dimensions [width, height, FM]. |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 69 | * The rest are optional and used for representing batches. Data types supported: F16/F32. |
Michele Di Giorgio | 4d33630 | 2018-03-02 09:43:54 +0000 | [diff] [blame] | 70 | * @param[in] output Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input |
| 71 | * @param[in] mean Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 72 | * @param[in] var Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 73 | * @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 |
| 74 | * @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 |
| 75 | * @param[in] epsilon (Optional) Small value to avoid division with zero. Default value is 0.001f. |
| 76 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. |
| 77 | * |
| 78 | * @return a status |
| 79 | */ |
| 80 | static Status validate(const ITensorInfo *input, const ITensorInfo *output, |
| 81 | const ITensorInfo *mean, const ITensorInfo *var, |
| 82 | const ITensorInfo *beta = nullptr, const ITensorInfo *gamma = nullptr, |
| 83 | float epsilon = 0.001f, ActivationLayerInfo act_info = ActivationLayerInfo()); |
Anthony Barbier | 7068f99 | 2017-10-26 15:23:08 +0100 | [diff] [blame] | 84 | |
| 85 | // Inherited methods overridden: |
| 86 | void run(const Window &window) override; |
| 87 | |
| 88 | private: |
| 89 | const IGCTensor *_input; |
| 90 | IGCTensor *_output; |
| 91 | const IGCTensor *_mean; |
| 92 | const IGCTensor *_var; |
| 93 | const IGCTensor *_beta; |
| 94 | const IGCTensor *_gamma; |
| 95 | float _epsilon; |
| 96 | }; |
| 97 | } |
| 98 | #endif /*__ARM_COMPUTE_GCBATCHNORMALIZATIONLAYERKERNEL_H__ */ |