Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 1 | /* |
John Kesapides | 917959c | 2019-02-04 12:37:29 +0000 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ |
| 25 | #define __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ |
| 26 | |
| 27 | #include "arm_compute/core/Types.h" |
| 28 | #include "arm_compute/core/Window.h" |
| 29 | #include "arm_compute/runtime/IFunction.h" |
| 30 | |
| 31 | #include "arm_compute/core/NEON/kernels/NEWidthConcatenateLayerKernel.h" |
| 32 | |
John Kesapides | 917959c | 2019-02-04 12:37:29 +0000 | [diff] [blame] | 33 | #include "arm_compute/core/utils/misc/Requires.h" |
| 34 | |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 35 | #include <memory> |
John Kesapides | 917959c | 2019-02-04 12:37:29 +0000 | [diff] [blame] | 36 | #include <type_traits> |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 37 | #include <vector> |
| 38 | |
| 39 | namespace arm_compute |
| 40 | { |
| 41 | // Forward declarations |
| 42 | class ITensor; |
| 43 | |
| 44 | /** Basic function to execute concatenate tensors along x axis. This function calls the following kernel: |
| 45 | * |
| 46 | * -# @ref NEWidthConcatenateLayerKernel |
Michalis Spyrou | 9f15c5e | 2019-04-03 19:48:54 +0100 | [diff] [blame] | 47 | * |
| 48 | * @deprecated This function is deprecated and will be removed in release 19.08 |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 49 | */ |
| 50 | class NEWidthConcatenateLayer : public IFunction |
| 51 | { |
| 52 | public: |
| 53 | /** Default constructor */ |
| 54 | NEWidthConcatenateLayer(); |
| 55 | /** Initialise the kernel's inputs vector and output. |
| 56 | * |
| 57 | * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. |
| 58 | * Dimensions of all the inputs should match apart for the width which can differ. |
| 59 | * @param[out] output Output tensor. Data types supported: Same as @p input. |
| 60 | * Output tensor dimensions are the same with the inputs from the second dimension and above. |
| 61 | * The first dimension (width) is the sum of the input tensors' widths. |
| 62 | */ |
| 63 | void configure(std::vector<ITensor *> inputs_vector, ITensor *output); |
John Kesapides | 917959c | 2019-02-04 12:37:29 +0000 | [diff] [blame] | 64 | void configure(std::vector<const ITensor *> inputs_vector, ITensor *output); |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 65 | /** Static function to check if given info will lead to a valid configuration of @ref NEWidthConcatenateLayer |
| 66 | * |
| 67 | * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32. |
| 68 | * Dimensions of all the inputs should match apart for the width which can differ. |
| 69 | * @param[in] output Output tensor. Data types supported: Same as @p input. |
| 70 | * Output tensor dimensions are the same with the inputs from the second dimension and above. |
| 71 | * The first dimension (width) is the sum of the input tensors' widths. |
| 72 | * |
| 73 | * @return a status |
| 74 | */ |
| 75 | static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output); |
John Kesapides | 917959c | 2019-02-04 12:37:29 +0000 | [diff] [blame] | 76 | static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output); |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 77 | |
| 78 | // Inherited methods overridden: |
| 79 | void run() override; |
| 80 | |
| 81 | private: |
| 82 | std::unique_ptr<NEWidthConcatenateLayerKernel[]> _concat_kernels_vector; |
| 83 | unsigned int _num_inputs; |
John Kesapides | 917959c | 2019-02-04 12:37:29 +0000 | [diff] [blame] | 84 | template <typename TensorType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorType>::type, ITensor>::value)> |
| 85 | void configure_internal(std::vector<TensorType *> &&inputs_vector, ITensor *output); |
| 86 | template <typename TensorInfoType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorInfoType>::type, ITensorInfo>::value)> |
| 87 | static Status validate_internal(const std::vector<TensorInfoType *> &inputs_vector, const ITensorInfo *output); |
Georgios Pinitas | ae54e02 | 2018-07-16 15:41:27 +0100 | [diff] [blame] | 88 | }; |
| 89 | } // namespace arm_compute |
| 90 | #endif /* __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ */ |