/* * Copyright (c) 2018-2019 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_CLPADLAYER_H__ #define __ARM_COMPUTE_CLPADLAYER_H__ #include "arm_compute/core/CL/kernels/CLCopyKernel.h" #include "arm_compute/core/CL/kernels/CLMemsetKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/functions/CLConcatenateLayer.h" #include "arm_compute/runtime/CL/CLScheduler.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/functions/CLStridedSlice.h" #include "arm_compute/runtime/IFunction.h" namespace arm_compute { class ICLTensor; /** Basic function to pad a tensor. This function calls the following OpenCL kernels: * * -# @ref CLMemsetKernel * -# @ref CLFillBorderKernel * -# @ref CLCopyKernel */ class CLPadLayer : public IFunction { public: /** Default constructor*/ CLPadLayer(); /** Initialize the function * * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. * @param[out] output Output tensor. Data type supported: same as @p input * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i] * specifies the front and the end padding in the i-th dimension. * @param[in] constant_value (Optional) Constant value to be used for the padding. * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT, * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT). Only CONSTANT * is currently supported. */ void configure(ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), PaddingMode mode = PaddingMode::CONSTANT); /** Static function to check if given info will lead to a valid configuration of @ref CLPadLayer. * * @param[in] input Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. * @param[in] output Output tensor info. Data type supported: same as @p input * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i] * specifies the front and the end padding in the i-th dimension. * @param[in] constant_value (Optional) Constant value to be used for the padding * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT, * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT). Only CONSTANT * is currently supported. */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), PaddingMode mode = PaddingMode::CONSTANT); // Inherited methods overridden: void run() override; private: void configure_constant_mode(ICLTensor *input, ICLTensor *output, const PaddingList &padding, const PixelValue constant_value); void configure_reflect_symmetric_mode(ICLTensor *input, ICLTensor *output); CLCopyKernel _copy_kernel; PaddingMode _mode; PaddingList _padding; CLMemsetKernel _memset_kernel; size_t _num_dimensions; std::unique_ptr _slice_functions; std::unique_ptr _concat_functions; std::unique_ptr _slice_results; std::unique_ptr _concat_results; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_PADLAYER_H__ */