| /* |
| * 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_NEWIDTHCONCATENATELAYER_H__ |
| #define __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/NEON/kernels/NEWidthConcatenateLayerKernel.h" |
| |
| #include "arm_compute/core/utils/misc/Requires.h" |
| |
| #include <memory> |
| #include <type_traits> |
| #include <vector> |
| |
| namespace arm_compute |
| { |
| // Forward declarations |
| class ITensor; |
| |
| /** Basic function to execute concatenate tensors along x axis. This function calls the following kernel: |
| * |
| * -# @ref NEWidthConcatenateLayerKernel |
| * |
| * @deprecated This function is deprecated and will be removed in release 19.08 |
| */ |
| class NEWidthConcatenateLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| NEWidthConcatenateLayer(); |
| /** Initialise the kernel's inputs vector and output. |
| * |
| * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. |
| * Dimensions of all the inputs should match apart for the width which can differ. |
| * @param[out] output Output tensor. Data types supported: Same as @p input. |
| * Output tensor dimensions are the same with the inputs from the second dimension and above. |
| * The first dimension (width) is the sum of the input tensors' widths. |
| */ |
| void configure(std::vector<ITensor *> inputs_vector, ITensor *output); |
| void configure(std::vector<const ITensor *> inputs_vector, ITensor *output); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEWidthConcatenateLayer |
| * |
| * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. |
| * Dimensions of all the inputs should match apart for the width which can differ. |
| * @param[in] output Output tensor. Data types supported: Same as @p input. |
| * Output tensor dimensions are the same with the inputs from the second dimension and above. |
| * The first dimension (width) is the sum of the input tensors' widths. |
| * |
| * @return a status |
| */ |
| static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output); |
| static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| std::vector<NEWidthConcatenateLayerKernel> _concat_kernels_vector; |
| unsigned int _num_inputs; |
| template <typename TensorType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorType>::type, ITensor>::value)> |
| void configure_internal(std::vector<TensorType *> &&inputs_vector, ITensor *output); |
| template <typename TensorInfoType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorInfoType>::type, ITensorInfo>::value)> |
| static Status validate_internal(const std::vector<TensorInfoType *> &inputs_vector, const ITensorInfo *output); |
| }; |
| } // namespace arm_compute |
| #endif /* __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ */ |