/* * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ /* * Copyright (c) 2016-2018 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_UTILSEX_H__ #define __ARM_COMPUTE_UTILSEX_H__ #include #include "arm_compute/core/Types.h" namespace arm_compute { /** Returns expected width and height of the transpose convolution's output tensor. * * @note This function was copied in order to fix a bug computing to wrong output dimensions. * * @param[in] in_width Width of input tensor (Number of columns) * @param[in] in_height Height of input tensor (Number of rows) * @param[in] kernel_width Kernel width. * @param[in] kernel_height Kernel height. * @param[in] info padding and stride info. * @param[in] invalid_right The number of zeros added to right edge of the output. * @param[in] invalid_top The number of zeros added to bottom edge of the output. * * @return A pair with the new width in the first position and the new height in the second. */ const std::pair transposeconv_output_dimensions(unsigned int in_width, unsigned int in_height, unsigned int kernel_width, unsigned int kernel_height, const PadStrideInfo &info, unsigned int invalid_right, unsigned int invalid_top); } #endif /*__ARM_COMPUTE_UTILSEX_H__ */