Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Anthony Barbier | e8a4983 | 2018-01-18 10:04:05 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +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_NEBATCHNORMALIZATIONLAYERKERNEL_H__ |
| 25 | #define __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__ |
| 26 | |
| 27 | #include "arm_compute/core/NEON/INEKernel.h" |
| 28 | |
| 29 | namespace arm_compute |
| 30 | { |
| 31 | class ITensor; |
| 32 | |
| 33 | /** Interface for the batch normalization layer kernel. |
| 34 | */ |
| 35 | class NEBatchNormalizationLayerKernel : public INEKernel |
| 36 | { |
| 37 | public: |
Anthony Barbier | e8a4983 | 2018-01-18 10:04:05 +0000 | [diff] [blame] | 38 | const char *name() const override |
| 39 | { |
| 40 | return "NEBatchNormalizationLayerKernel"; |
| 41 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 42 | /** Default constructor */ |
| 43 | NEBatchNormalizationLayerKernel(); |
| 44 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 45 | NEBatchNormalizationLayerKernel(const NEBatchNormalizationLayerKernel &) = delete; |
| 46 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 47 | NEBatchNormalizationLayerKernel &operator=(const NEBatchNormalizationLayerKernel &) = delete; |
| 48 | /** Default Move Constructor. */ |
| 49 | NEBatchNormalizationLayerKernel(NEBatchNormalizationLayerKernel &&) = default; |
| 50 | /** Default move assignment operator. */ |
| 51 | NEBatchNormalizationLayerKernel &operator=(NEBatchNormalizationLayerKernel &&) = default; |
| 52 | /** Default destructor */ |
| 53 | ~NEBatchNormalizationLayerKernel() = default; |
| 54 | /** Set the input and output tensors. |
| 55 | * |
Georgios Pinitas | 409ee0a | 2017-08-18 10:16:09 +0100 | [diff] [blame] | 56 | * @note If the output tensor is a nullptr, the batch normalization function will be performed in-place |
| 57 | * |
Georgios Pinitas | 57c033b | 2018-02-15 12:29:44 +0000 | [diff] [blame] | 58 | * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result. |
| 59 | * 3 lower dimensions represent a single input with dimensions [width, height, FM]. |
| 60 | * The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. |
| 61 | * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input |
| 62 | * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 63 | * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 64 | * @param[in] beta Beta values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 65 | * @param[in] gamma Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 66 | * @param[in] epsilon Small value to avoid division with zero. |
| 67 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. |
| 68 | * Data types supported: F32 |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 69 | */ |
Georgios Pinitas | 57c033b | 2018-02-15 12:29:44 +0000 | [diff] [blame] | 70 | void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon, |
| 71 | ActivationLayerInfo act_info = ActivationLayerInfo()); |
Ioan-Cristian Szabo | 303be90 | 2017-11-27 16:31:10 +0000 | [diff] [blame] | 72 | /** Static function to check if given info will lead to a valid configuration of @ref NEBatchNormalizationLayerKernel |
| 73 | * |
Georgios Pinitas | 57c033b | 2018-02-15 12:29:44 +0000 | [diff] [blame] | 74 | * @param[in] input Source tensor info. In case of @p output tensor = nullptr, this tensor will store the result. |
| 75 | * 3 lower dimensions represent a single input with dimensions [width, height, FM]. |
| 76 | * The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. |
| 77 | * @param[in] output Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input |
| 78 | * @param[in] mean Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 79 | * @param[in] var Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 80 | * @param[in] beta Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 81 | * @param[in] gamma Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input |
| 82 | * @param[in] epsilon Small value to avoid division with zero. |
| 83 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. |
| 84 | * Data types supported: F32 |
Ioan-Cristian Szabo | 303be90 | 2017-11-27 16:31:10 +0000 | [diff] [blame] | 85 | * |
Georgios Pinitas | 631c41a | 2017-12-06 11:53:03 +0000 | [diff] [blame] | 86 | * @return a status |
Ioan-Cristian Szabo | 303be90 | 2017-11-27 16:31:10 +0000 | [diff] [blame] | 87 | */ |
Georgios Pinitas | 631c41a | 2017-12-06 11:53:03 +0000 | [diff] [blame] | 88 | static Status validate(const ITensorInfo *input, const ITensorInfo *output, |
| 89 | const ITensorInfo *mean, const ITensorInfo *var, |
| 90 | const ITensorInfo *beta, const ITensorInfo *gamma, |
Georgios Pinitas | 57c033b | 2018-02-15 12:29:44 +0000 | [diff] [blame] | 91 | float epsilon, ActivationLayerInfo act_info); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 92 | |
| 93 | // Inherited methods overridden: |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 94 | void run(const Window &window, const ThreadInfo &info) override; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 95 | |
| 96 | private: |
Georgios Pinitas | 57c033b | 2018-02-15 12:29:44 +0000 | [diff] [blame] | 97 | /** Configure execution function in case of non-fused activation **/ |
| 98 | void configure_non_fused(); |
| 99 | /** Configure execution function in case of fused activation **/ |
| 100 | void configure_fused(); |
| 101 | /** Template function to run batch normalization on 8-bit fixed point |
| 102 | * |
| 103 | * @tparam fused_activation Boolean that flags if its a fused activation or not |
| 104 | * |
| 105 | * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| 106 | */ |
| 107 | template <bool fused_activation> |
| 108 | void batch_normalization_qs8(const Window &window); |
| 109 | /** Template function to run batch normalization on 16-bit fixed point |
| 110 | * |
| 111 | * @tparam fused_activation Boolean that flags if its a fused activation or not |
| 112 | * |
| 113 | * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| 114 | */ |
| 115 | template <bool fused_activation> |
| 116 | void batch_normalization_qs16(const Window &window); |
| 117 | /** Template function to run batch normalization on fp16 |
| 118 | * |
| 119 | * @tparam fused_activation Boolean that flags if its a fused activation or not |
| 120 | * |
| 121 | * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| 122 | */ |
| 123 | template <bool fused_activation> |
| 124 | void batch_normalization_fp16(const Window &window); |
| 125 | /** Template function to run batch normalization on fp32 |
| 126 | * |
| 127 | * @tparam fused_activation Boolean that flags if its a fused activation or not |
| 128 | * @tparam F Activation function functor to run |
| 129 | * |
| 130 | * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| 131 | */ |
| 132 | template <bool fused_activation, typename F> |
| 133 | void batch_normalization_fp32(const Window &window); |
| 134 | /** Common signature for all the batch normalization functions |
| 135 | * |
| 136 | * @param[in] window Region on which to execute the kernel. |
| 137 | */ |
| 138 | using BatchNormFunctionPtr = void (NEBatchNormalizationLayerKernel::*)(const Window &window); |
| 139 | |
| 140 | private: |
| 141 | BatchNormFunctionPtr _func; |
| 142 | ITensor *_input; |
| 143 | ITensor *_output; |
| 144 | const ITensor *_mean; |
| 145 | const ITensor *_var; |
| 146 | const ITensor *_gamma; |
| 147 | const ITensor *_beta; |
| 148 | float _epsilon; |
| 149 | ActivationLayerInfo _act_info; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 150 | }; |
Gian Marco Iodice | 356f643 | 2017-09-22 11:32:21 +0100 | [diff] [blame] | 151 | } // namespace arm_compute |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 152 | #endif /*__ARM_COMPUTE_NEBATCHNORMALIZATIONLAYERKERNEL_H__ */ |