1 /* 2 * Copyright (c) 2018-2022 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_CPU_CONVERT_FULLYCONNECTED_WEIGHTS_KERNEL_H 25 #define ARM_COMPUTE_CPU_CONVERT_FULLYCONNECTED_WEIGHTS_KERNEL_H 26 27 #include "src/core/common/Macros.h" 28 #include "src/cpu/ICpuKernel.h" 29 30 namespace arm_compute 31 { 32 namespace cpu 33 { 34 namespace kernels 35 { 36 /** Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa. 37 * 38 * @note This function can be applied to the 2D weights used by a Fully Connected layer if: 39 * - It follows a Convolution layer 40 * - The data layout used by the network does not match the one the model has been trained in. 41 * 42 * @note This function assumes the weights are already reshaped (transposed) 43 */ 44 class CpuConvertFullyConnectedWeightsKernel : public ICpuKernel<CpuConvertFullyConnectedWeightsKernel> 45 { 46 public: 47 CpuConvertFullyConnectedWeightsKernel() = default; 48 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuConvertFullyConnectedWeightsKernel); 49 /** Set the src and dst tensor. 50 * 51 * @param[in] src Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. 52 * @param[in] dst The converted weights tensor info. Shape and Data Type: Same as @p src. 53 * @param[in] original_input_shape Shape of the original src tensor (the one entering fully connected layer). 54 * @param[in] data_layout The data layout the weights have been trained in. 55 */ 56 void configure(const ITensorInfo *src, ITensorInfo *dst, const TensorShape &original_input_shape, DataLayout data_layout); 57 /** Static function to check if given info will lead to a valid configuration 58 * 59 * Similar to @ref CpuConvertFullyConnectedWeightsKernel::configure() 60 * 61 * @return a status 62 */ 63 static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const TensorShape &original_input_shape, DataLayout data_layout); 64 65 // Inherited methods overridden: 66 void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; 67 const char *name() const override; 68 69 private: 70 unsigned int _factor1{ 0 }; /* equals to the number of elements per original src plane if @p data_layout == NCHW; its number of channels otherwise */ 71 unsigned int _factor2{ 0 }; /* equals to the number of elements per original src plane if @p data_layout == NHWC; its number of channels otherwise */ 72 }; 73 } // namespace kernels 74 } // namespace cpu 75 } // namespace arm_compute 76 #endif /* ARM_COMPUTE_CPU_CONVERT_FULLYCONNECTED_WEIGHTS_KERNEL_H */