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Diffstat (limited to 'src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h')
-rw-r--r-- | src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h | 90 |
1 files changed, 90 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h b/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h new file mode 100644 index 0000000000..d1da793df2 --- /dev/null +++ b/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h @@ -0,0 +1,90 @@ +/* + * Copyright (c) 2018-2020 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_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H +#define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H + +#include "src/core/CL/ICLKernel.h" + +namespace arm_compute +{ +class ICLTensor; + +/** 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 CLConvertFullyConnectedWeightsKernel : public ICLKernel +{ +public: + /** Default constructor */ + CLConvertFullyConnectedWeightsKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLConvertFullyConnectedWeightsKernel(const CLConvertFullyConnectedWeightsKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLConvertFullyConnectedWeightsKernel &operator=(const CLConvertFullyConnectedWeightsKernel &) = delete; + /** Allow instances of this class to be moved */ + CLConvertFullyConnectedWeightsKernel(CLConvertFullyConnectedWeightsKernel &&) = default; + /** Allow instances of this class to be moved */ + CLConvertFullyConnectedWeightsKernel &operator=(CLConvertFullyConnectedWeightsKernel &&) = default; + /** Default destructor */ + ~CLConvertFullyConnectedWeightsKernel() = default; + /** Set the input and output tensor. + * + * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. + * @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 ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); + /** Set the input and output tensor. + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All. + * @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 CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); + /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeightsKernel + * + * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. + * @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, cl::CommandQueue &queue) override; + +private: + const ICLTensor *_input; + ICLTensor *_output; +}; +} // namespace arm_compute +#endif /*ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H */ |