Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018-2020 Arm Limited. |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +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 | */ |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 24 | #ifndef ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H |
| 25 | #define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 26 | |
Sang-Hoon Park | bef7fa2 | 2020-10-21 15:58:54 +0100 | [diff] [blame] | 27 | #include "src/core/CL/ICLKernel.h" |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 28 | |
| 29 | namespace arm_compute |
| 30 | { |
| 31 | class ICLTensor; |
| 32 | |
| 33 | /** Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa. |
| 34 | * |
| 35 | * @note This function can be applied to the 2D weights used by a Fully Connected layer if: |
| 36 | * - It follows a Convolution layer |
| 37 | * - The data layout used by the network does not match the one the model has been trained in. |
| 38 | * |
| 39 | * @note This function assumes the weights are already reshaped (transposed) |
| 40 | */ |
| 41 | class CLConvertFullyConnectedWeightsKernel : public ICLKernel |
| 42 | { |
| 43 | public: |
| 44 | /** Default constructor */ |
| 45 | CLConvertFullyConnectedWeightsKernel(); |
| 46 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 47 | CLConvertFullyConnectedWeightsKernel(const CLConvertFullyConnectedWeightsKernel &) = delete; |
| 48 | /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| 49 | CLConvertFullyConnectedWeightsKernel &operator=(const CLConvertFullyConnectedWeightsKernel &) = delete; |
| 50 | /** Allow instances of this class to be moved */ |
| 51 | CLConvertFullyConnectedWeightsKernel(CLConvertFullyConnectedWeightsKernel &&) = default; |
| 52 | /** Allow instances of this class to be moved */ |
| 53 | CLConvertFullyConnectedWeightsKernel &operator=(CLConvertFullyConnectedWeightsKernel &&) = default; |
| 54 | /** Default destructor */ |
| 55 | ~CLConvertFullyConnectedWeightsKernel() = default; |
| 56 | /** Set the input and output tensor. |
| 57 | * |
Michele Di Giorgio | cbbed28 | 2019-12-20 13:26:08 +0000 | [diff] [blame] | 58 | * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 59 | * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. |
Georgios Pinitas | 7d66a8e | 2018-07-17 12:28:42 +0100 | [diff] [blame] | 60 | * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 61 | * @param[in] data_layout The data layout the weights have been trained in. |
| 62 | */ |
| 63 | void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); |
Manuel Bottini | 4c6bd51 | 2020-04-08 10:15:51 +0100 | [diff] [blame] | 64 | /** Set the input and output tensor. |
| 65 | * |
| 66 | * @param[in] compile_context The compile context to be used. |
| 67 | * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. |
| 68 | * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. |
| 69 | * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
| 70 | * @param[in] data_layout The data layout the weights have been trained in. |
| 71 | */ |
Manuel Bottini | 256c0b9 | 2020-04-21 13:29:30 +0100 | [diff] [blame] | 72 | void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 73 | /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeightsKernel |
| 74 | * |
Michele Di Giorgio | cbbed28 | 2019-12-20 13:26:08 +0000 | [diff] [blame] | 75 | * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 76 | * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input. |
Georgios Pinitas | 7d66a8e | 2018-07-17 12:28:42 +0100 | [diff] [blame] | 77 | * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
Giorgio Arena | 657bdb3 | 2018-04-26 18:52:01 +0100 | [diff] [blame] | 78 | * @param[in] data_layout The data layout the weights have been trained in. |
| 79 | */ |
| 80 | static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout); |
| 81 | |
| 82 | // Inherited methods overridden: |
| 83 | void run(const Window &window, cl::CommandQueue &queue) override; |
| 84 | |
| 85 | private: |
| 86 | const ICLTensor *_input; |
| 87 | ICLTensor *_output; |
| 88 | }; |
| 89 | } // namespace arm_compute |
Michalis Spyrou | f464337 | 2019-11-29 16:17:13 +0000 | [diff] [blame] | 90 | #endif /*ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H */ |