xref: /aosp_15_r20/external/ComputeLibrary/arm_compute/runtime/CL/functions/CLConcatenateLayer.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2018-2021 Arm Limited.
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_CLCONCATENATELAYER_H
25 #define ARM_COMPUTE_CLCONCATENATELAYER_H
26 
27 #include "arm_compute/runtime/IFunction.h"
28 
29 #include "arm_compute/core/Types.h"
30 
31 #include <memory>
32 #include <vector>
33 
34 namespace arm_compute
35 {
36 // Forward declarations
37 class CLCompileContext;
38 class ICLTensor;
39 class ICLKernel;
40 class ITensorInfo;
41 class Status;
42 
43 /** Basic function to execute concatenate tensors along a given axis. This function calls the following kernels:
44  *
45  * -# @ref opencl::kernels::ClWidthConcatenateKernel (if underlying concatenation axis is 0).
46  * -# @ref opencl::kernels::ClHeightConcatenateKernel (if underlying concatenation axis is 1).
47  * -# @ref opencl::kernels::ClDepthConcatenateKernel (if underlying concatenation axis is 2).
48  * -# @ref opencl::kernels::ClBatchConcatenateKernel (if underlying concatenation axis is 3).
49  */
50 class CLConcatenateLayer : public IFunction
51 {
52 public:
53     /** Default constructor */
54     CLConcatenateLayer();
55     /** Destructor */
56     ~CLConcatenateLayer();
57     /** Prevent instances of this class from being copied (As this class contains pointers) */
58     CLConcatenateLayer(const CLConcatenateLayer &) = delete;
59     /** Default move constructor */
60     CLConcatenateLayer(CLConcatenateLayer &&);
61     /** Prevent instances of this class from being copied (As this class contains pointers) */
62     CLConcatenateLayer &operator=(const CLConcatenateLayer &) = delete;
63     /** Default move assignment operator */
64     CLConcatenateLayer &operator=(CLConcatenateLayer &&);
65     /** Initialise the kernel's inputs vector and output.
66      *
67      * Valid data layouts:
68      * - All
69      *
70      * Valid data type configurations:
71      * |src            |dst            |
72      * |:--------------|:--------------|
73      * |QASYMM8        |QASYMM8        |
74      * |QASYMM8_SIGNED |QASYMM8_SIGNED |
75      * |F16            |F16            |
76      * |F32            |F32            |
77      *
78      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
79      * @note Preconditions can be found respectively at @ref opencl::kernels::ClWidthConcatenateKernel,
80      *       @ref opencl::kernels::ClHeightConcatenateKernel and @ref opencl::kernels::ClDepthConcatenateKernel.
81      *
82      * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
83      * @param[out]    output        Output tensor. Data types supported: Same as @p input.
84      * @param[in]     axis          Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
85      */
86     void configure(std::vector<const ICLTensor *> &inputs_vector, ICLTensor *output, size_t axis);
87     /** Initialise the kernel's inputs vector and output.
88      *
89      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
90      * @note Preconditions can be found respectively at @ref opencl::kernels::ClWidthConcatenateKernel,
91      *       @ref opencl::kernels::ClHeightConcatenateKernel and @ref opencl::kernels::ClDepthConcatenateKernel.
92      *
93      * @param[in]     compile_context The compile context to be used.
94      * @param[in,out] inputs_vector   The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
95      * @param[out]    output          Output tensor. Data types supported: Same as @p input.
96      * @param[in]     axis            Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
97      */
98     void configure(const CLCompileContext &compile_context, std::vector<const ICLTensor *> &inputs_vector, ICLTensor *output, size_t axis);
99     /** Static function to check if given info will lead to a valid configuration of @ref CLConcatenateLayer
100      *
101      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
102      * @note Preconditions can be found respectively at @ref opencl::kernels::ClWidthConcatenateKernel,
103      *       @ref opencl::kernels::ClHeightConcatenateKernel and @ref opencl::kernels::ClDepthConcatenateKernel.
104      *
105      * @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
106      * @param[in] output        Output tensor info. Data types supported: Same as @p input.
107      * @param[in] axis          Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
108      *
109      * @return a status
110      */
111     static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
112 
113     // Inherited methods overridden:
114     void run() override;
115 
116 private:
117     struct Impl;
118     std::unique_ptr<Impl> _impl;
119 };
120 } // namespace arm_compute
121 #endif /* ARM_COMPUTE_CLCONCATENATELAYER_H */
122