| /* |
| * Copyright (c) 2018 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef __ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTSKERNEL_H__ |
| #define __ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTSKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa. |
| * |
| * @note This function can be applied to the 2D weights used by a Fully Connected layer if: |
| * - It follows a Convolution layer |
| * - The data layout used by the network does not match the one the model has been trained in. |
| * |
| * @note This function assumes the weights are already reshaped (transposed) |
| */ |
| class NEConvertFullyConnectedWeightsKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEConvertFullyConnectedWeightsKernel"; |
| } |
| /** Default constructor */ |
| NEConvertFullyConnectedWeightsKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEConvertFullyConnectedWeightsKernel(const NEConvertFullyConnectedWeightsKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEConvertFullyConnectedWeightsKernel &operator=(const NEConvertFullyConnectedWeightsKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| NEConvertFullyConnectedWeightsKernel(NEConvertFullyConnectedWeightsKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| NEConvertFullyConnectedWeightsKernel &operator=(NEConvertFullyConnectedWeightsKernel &&) = default; |
| /** Default destructor */ |
| ~NEConvertFullyConnectedWeightsKernel() = default; |
| /** Set the input and output tensor. |
| * |
| * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. |
| * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. |
| * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
| * @param[in] data_layout The data layout the weights have been trained in. |
| */ |
| void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEConvertFullyConnectedWeightsKernel |
| * |
| * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. |
| * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input. |
| * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
| * @param[in] data_layout The data layout the weights have been trained in. |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| /** Template function to run the permute |
| * |
| * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| */ |
| template <typename T> |
| void run_convert_fc_weights(const Window &window); |
| |
| const ITensor *_input; |
| ITensor *_output; |
| unsigned int _factor1; /* equals to the number of elements per original input plane if @p data_layout == NCHW; its number of channels otherwise */ |
| unsigned int _factor2; /* equals to the number of elements per original input plane if @p data_layout == NHWC; its number of channels otherwise */ |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_NECONVERTFULLYCONNECTEDWEIGHTSKERNEL_H__ */ |