1 /* 2 * Copyright (c) 2018-2020 Arm Limited. 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_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H 25 #define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H 26 27 #include "src/core/CL/ICLKernel.h" 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 * 58 * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. 59 * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. 60 * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). 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); 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 */ 72 void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); 73 /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeightsKernel 74 * 75 * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. 76 * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input. 77 * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). 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 90 #endif /*ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H */ 91