Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Gian Marco | 20d7848 | 2018-01-11 15:10:58 +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_CLCONVOLUTIONLAYER_H__ |
| 25 | #define __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__ |
| 26 | |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 27 | #include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h" |
| 28 | #include "arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h" |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 29 | #include "arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h" |
Isabella Gottardi | 3f217ec | 2018-02-12 14:59:19 +0000 | [diff] [blame] | 30 | #include "arm_compute/runtime/IFunction.h" |
Georgios Pinitas | baf174e | 2017-09-08 19:47:30 +0100 | [diff] [blame] | 31 | #include "arm_compute/runtime/IMemoryManager.h" |
| 32 | |
| 33 | #include <memory> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 34 | |
| 35 | namespace arm_compute |
| 36 | { |
Gian Marco | 20d7848 | 2018-01-11 15:10:58 +0000 | [diff] [blame] | 37 | /** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions: |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 38 | * |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 39 | * -# @ref CLGEMMConvolutionLayer |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 40 | * -# @ref CLWinogradConvolutionLayer |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 41 | * -# @ref CLDirectConvolutionLayer |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 42 | */ |
| 43 | class CLConvolutionLayer : public IFunction |
| 44 | { |
| 45 | public: |
| 46 | /** Default constructor */ |
Georgios Pinitas | baf174e | 2017-09-08 19:47:30 +0100 | [diff] [blame] | 47 | CLConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 48 | /** Set the input and output tensors. |
| 49 | * |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 50 | * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], |
| 51 | * while every optional dimension from 4 and above represent a batch of inputs. |
| 52 | * Data types supported: QS8/QASYMM8/QS16/F16/F32. |
| 53 | * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. |
| 54 | * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. |
| 55 | * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. |
| 56 | * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| 57 | * Data types supported: Same as @p input. |
| 58 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| 59 | * @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. Data type supported: Same as @p input. |
| 60 | * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| 61 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| 62 | * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation |
| 63 | * available which may introduce a drop of accuracy as well. Default is false |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 64 | */ |
Alex Gilday | 7da29b6 | 2018-03-23 14:16:00 +0000 | [diff] [blame] | 65 | void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(), |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 66 | const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 67 | /** Static function to check if given info will lead to a valid configuration of @ref CLConvolutionLayer |
| 68 | * |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 69 | * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], |
| 70 | * while every optional dimension from 4 and above represent a batch of inputs. |
| 71 | * Data types supported: QS8/QASYMM8/QS16/F16/F32. |
| 72 | * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. |
| 73 | * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input. |
| 74 | * @param[in] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| 75 | * Data types supported: Same as @p input. |
| 76 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| 77 | * @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. Data type supported: Same as @p input. |
| 78 | * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| 79 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| 80 | * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation |
| 81 | * available which may introduce a drop of accuracy as well. Default is false |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 82 | * |
| 83 | * @return a status |
| 84 | */ |
| 85 | static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 86 | const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 87 | /** Static function to check if given info will return the convolution called by @ref CLConvolutionLayer |
| 88 | * |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 89 | * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], |
| 90 | * while every optional dimension from 4 and above represent a batch of inputs. |
| 91 | * Data types supported: QS8/QASYMM8/QS16/F16/F32. |
| 92 | * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. |
| 93 | * @param[in] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| 94 | * Data types supported: Same as @p input. |
| 95 | * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| 96 | * @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. Data type supported: Same as @p input. |
| 97 | * @param[in] act_info (Optional) Activation layer information in case of a fused activation. |
| 98 | * @param[in] gpu_target Specifies the @p GPUTarget. |
| 99 | * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| 100 | * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation |
| 101 | * available which may introduce a drop of accuracy as well. Default is false |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 102 | * |
| 103 | * @return a status |
| 104 | */ |
Gian Marco Iodice | e52a300 | 2018-04-11 15:59:10 +0100 | [diff] [blame] | 105 | static ConvolutionMethod get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info, |
Gian Marco Iodice | 2213d4b | 2018-04-27 10:39:06 +0100 | [diff] [blame] | 106 | const WeightsInfo &weights_info, const ActivationLayerInfo &act_info, const GPUTarget gpu_target, const Size2D &dilation = Size2D(1U, 1U), bool enable_fast_math = false); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 107 | // Inherited methods overridden: |
| 108 | void run() override; |
Georgios Pinitas | e043767 | 2018-05-02 14:07:55 +0100 | [diff] [blame] | 109 | void prepare() override; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 110 | |
| 111 | private: |
Isabella Gottardi | f07d28d | 2018-02-06 14:52:43 +0000 | [diff] [blame] | 112 | std::shared_ptr<IMemoryManager> _memory_manager; |
Georgios Pinitas | e043767 | 2018-05-02 14:07:55 +0100 | [diff] [blame] | 113 | std::unique_ptr<IFunction> _function; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 114 | }; |
| 115 | } |
| 116 | #endif /* __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__ */ |