Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +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_NEDIRECTCONVOLUTIONLAYER_H__ |
| 25 | #define __ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYER_H__ |
| 26 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 27 | #include "arm_compute/core/NEON/kernels/NEDirectConvolutionLayerKernel.h" |
Michalis Spyrou | b91e34c | 2017-12-20 15:50:55 +0000 | [diff] [blame] | 28 | #include "arm_compute/core/NEON/kernels/NEDirectConvolutionLayerOutputStageKernel.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 29 | #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" |
| 30 | #include "arm_compute/core/Types.h" |
| 31 | #include "arm_compute/runtime/IFunction.h" |
Georgios Pinitas | 658039b | 2017-09-15 16:30:50 +0100 | [diff] [blame] | 32 | #include "arm_compute/runtime/IMemoryManager.h" |
| 33 | #include "arm_compute/runtime/MemoryGroup.h" |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 34 | #include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 35 | #include "arm_compute/runtime/Tensor.h" |
| 36 | |
Georgios Pinitas | 658039b | 2017-09-15 16:30:50 +0100 | [diff] [blame] | 37 | #include <memory> |
| 38 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 39 | namespace arm_compute |
| 40 | { |
| 41 | /** Function to run the direct convolution. |
| 42 | * |
| 43 | * This function calls the following NEON kernels: |
| 44 | * |
| 45 | * -# @ref NEFillBorderKernel for the input |
Michalis Spyrou | b91e34c | 2017-12-20 15:50:55 +0000 | [diff] [blame] | 46 | * -# @ref NEDirectConvolutionLayerOutputStageKernel |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 47 | * -# @ref NEDirectConvolutionLayerKernel |
| 48 | */ |
| 49 | class NEDirectConvolutionLayer : public IFunction |
| 50 | { |
| 51 | public: |
| 52 | /** Constructor */ |
Georgios Pinitas | 658039b | 2017-09-15 16:30:50 +0100 | [diff] [blame] | 53 | NEDirectConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 54 | /** Set the input, weights, biases and output tensors. |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 55 | * |
| 56 | * @note: DirectConvolution only works in the following configurations: |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 57 | * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
| 58 | * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 59 | * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 |
| 60 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 61 | * @param[in, out] input Input tensor. Data types supported: F16/F32. |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 62 | * @param[in] weights Set of kernels to convolve the input volume. |
| 63 | * Supported sizes: 1x1, 3x3 and 5x5. |
| 64 | * The 3rd dimension must be the same as the input's volume 3rd dimension. |
| 65 | * Data type supported: Same as @p input. |
Georgios Pinitas | 0223a78 | 2017-12-12 11:44:44 +0000 | [diff] [blame] | 66 | * @param[in] bias Set of biases. Can be nullptr. Data type supported: Same as @p input. |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 67 | * @param[out] output Output tensor. |
| 68 | * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input. |
| 69 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 70 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
Anthony Barbier | f202e50 | 2017-11-23 18:02:04 +0000 | [diff] [blame] | 71 | */ |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 72 | void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 73 | /** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayer |
| 74 | * |
| 75 | * @note: DirectConvolution only works in the following configurations: |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 76 | * 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
| 77 | * 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32 |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 78 | * 5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32 |
| 79 | * |
Vidhya Sudhan Loganathan | 7485d5a | 2018-07-04 09:34:00 +0100 | [diff] [blame] | 80 | * @param[in] input Input tensor. Data types supported: F16/F32. |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 81 | * @param[in] weights Set of kernels to convolve the input volume. |
| 82 | * Supported sizes: 1x1, 3x3 and 5x5. |
| 83 | * The 3rd dimension must be the same as the input's volume 3rd dimension. |
| 84 | * Data type supported: Same as @p input. |
Georgios Pinitas | 0223a78 | 2017-12-12 11:44:44 +0000 | [diff] [blame] | 85 | * @param[in] bias Set of biases. Can be nullptr. Data type supported: Same as @p input. |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 86 | * @param[in] output Output tensor. |
| 87 | * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input. |
| 88 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 89 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 90 | * |
| 91 | * @return a status |
| 92 | */ |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 93 | static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &conv_info, |
| 94 | const ActivationLayerInfo &act_info = ActivationLayerInfo()); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 95 | |
| 96 | // Inherited methods overridden: |
| 97 | void run() override; |
| 98 | |
| 99 | private: |
Michalis Spyrou | b91e34c | 2017-12-20 15:50:55 +0000 | [diff] [blame] | 100 | MemoryGroup _memory_group; |
| 101 | NEDirectConvolutionLayerOutputStageKernel _output_stage_kernel; |
| 102 | NEDirectConvolutionLayerKernel _conv_kernel; |
| 103 | NEFillBorderKernel _input_border_handler; |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 104 | NEActivationLayer _activationlayer_function; |
Michalis Spyrou | b91e34c | 2017-12-20 15:50:55 +0000 | [diff] [blame] | 105 | Tensor _accumulator; |
| 106 | bool _has_bias; |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 107 | bool _is_activationlayer_enabled; |
Giorgio Arena | c0f5443 | 2018-03-16 14:02:34 +0000 | [diff] [blame] | 108 | unsigned int _dim_split; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 109 | }; |
| 110 | } |
| 111 | #endif /* __ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYER_H__ */ |