| /* |
| * Copyright (c) 2017-2018 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_CLDEPTHCONCATENATE_H__ |
| #define __ARM_COMPUTE_CLDEPTHCONCATENATE_H__ |
| |
| #include "arm_compute/core/CL/OpenCL.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/CL/kernels/CLDepthConcatenateLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" |
| |
| #include <memory> |
| #include <vector> |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to execute concatenate tensors along z axis. This function calls the following kernels: |
| * |
| * -# @ref CLFillBorderKernel (executed if input's lowest two dimensions are smaller than respective output's dimensions) |
| * -# @ref CLDepthConcatenateLayerKernel |
| * |
| */ |
| class CLDepthConcatenateLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLDepthConcatenateLayer(); |
| /** 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<ICLTensor *> &inputs_vector, ICLTensor *output); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDepthConcatenateLayer |
| * |
| * @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<ICLTensor *> _inputs_vector; |
| std::unique_ptr<CLDepthConcatenateLayerKernel[]> _concat_kernels_vector; |
| std::unique_ptr<CLFillBorderKernel[]> _border_handlers_vector; |
| unsigned int _num_inputs; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_CLDEPTHCONCATENATE_H__ */ |