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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h | 93 |
1 files changed, 0 insertions, 93 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h deleted file mode 100644 index b3bf752b40..0000000000 --- a/arm_compute/runtime/NEON/functions/NEDepthConcatenateLayer.h +++ /dev/null @@ -1,93 +0,0 @@ -/* - * Copyright (c) 2017-2019 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_NEDEPTHCONCATENATE_H__ -#define __ARM_COMPUTE_NEDEPTHCONCATENATE_H__ - -#include "arm_compute/runtime/IFunction.h" - -#include "arm_compute/core/NEON/kernels/NEDepthConcatenateLayerKernel.h" -#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" - -#include <memory> -#include <vector> - -namespace arm_compute -{ -class ITensor; - -/** Basic function to execute concatenate tensors along z axis. This function calls the following kernels: - * - * -# @ref NEFillBorderKernel (executed if input's lowest two dimensions are smaller than respective output's dimensions) - * -# @ref NEDepthConcatenateLayerKernel - * - * @deprecated This function is deprecated and will be removed in release 19.08 - * - */ -class NEDepthConcatenateLayer : public IFunction -{ -public: - /** Default constructor */ - NEDepthConcatenateLayer(); - /** Initialise the kernel's inputs vector and output. - * - * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32. - * Input dimensions might differ for each input for the first three dimensions (width, height, depth) - * and must match for the rest. - * Note that the difference between the minimum and maximum width and height among the input tensors - * must be divisible by 2 otherwise it is not clear how padding should be added on the inputs' width and - * height when they are less than the maximum input sizes. - * @param[out] output Output tensor. Data types supported: Same as @p input. - * Output tensor dimensions match the inputs' ones from the fourth dimension and above, - * while width and height are the maximum width and height of the input tensors. - * Finally, depth is the sum of the input depths. - */ - void configure(const std::vector<ITensor *> &inputs_vector, ITensor *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEDepthConcatenateLayer - * - * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32. - * Input dimensions might differ for each input for the first three dimensions (width, height, depth) - * and must match for the rest. - * Note that the difference between the minimum and maximum width and height among the input tensors - * must be divisible by 2 otherwise it is not clear how padding should be added on the inputs' width and - * height when they are less than the maximum input sizes. - * @param[in] output Output tensor. Data types supported: Same as @p input. - * Output tensor dimensions match the inputs' ones from the fourth dimension and above, - * while width and height are the maximum width and height of the input tensors. - * Finally, depth is the sum of the input depths. - * - * @return a status - */ - static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output); - - // Inherited methods overridden: - void run() override; - -private: - std::vector<ITensor *> _inputs_vector; - std::vector<std::unique_ptr<NEDepthConcatenateLayerKernel>> _concat_kernels_vector; - std::vector<std::unique_ptr<NEFillBorderKernel>> _border_handlers_vector; - unsigned int _num_inputs; -}; -} // namespace arm_compute -#endif /* __ARM_COMPUTE_NEDEPTHCONCATENATE_H__ */ |