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1 /*
2  * Copyright (c) 2018-2020 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_NEYOLOLAYERKERNEL_H
25 #define ARM_COMPUTE_NEYOLOLAYERKERNEL_H
26 
27 #include "src/core/NEON/INEKernel.h"
28 
29 namespace arm_compute
30 {
31 class ITensor;
32 
33 /** Interface for the YOLO layer kernel. */
34 class NEYOLOLayerKernel : public INEKernel
35 {
36 public:
name()37     const char *name() const override
38     {
39         return "NEYOLOLayerKernel";
40     }
41     /** Constructor */
42     NEYOLOLayerKernel();
43     /** Prevent instances of this class from being copied (As this class contains pointers) */
44     NEYOLOLayerKernel(const NEYOLOLayerKernel &) = delete;
45     /** Default move constructor */
46     NEYOLOLayerKernel(NEYOLOLayerKernel &&) = default;
47     /** Prevent instances of this class from being copied (As this class contains pointers) */
48     NEYOLOLayerKernel &operator=(const NEYOLOLayerKernel &) = delete;
49     /** Default move assignment operator */
50     NEYOLOLayerKernel &operator=(NEYOLOLayerKernel &&) = default;
51     /** Default destructor */
52     ~NEYOLOLayerKernel() = default;
53     /** Set the input and output tensor.
54      *
55      * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
56      *
57      * @param[in, out] input       Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
58      *                             of the activation function. Data types supported: F16/F32.
59      * @param[out]     output      Destination tensor. Data type supported: same as @p input
60      * @param[in]      act_info    Activation layer parameters.
61      * @param[in]      num_classes Number of classes to activate (must be submultiple of @p input channels)
62      */
63     void configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
64     /** Static function to check if given info will lead to a valid configuration of @ref NEYOLOLayerKernel
65      *
66      * @param[in] input       Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
67      *                        of the activation function. Data types supported: F16/F32.
68      * @param[in] output      Destination tensor info. Data type supported: same as @p input
69      * @param[in] act_info    Activation layer information.
70      * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
71      *
72      * @return a status
73      */
74     static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes);
75 
76     // Inherited methods overridden:
77     void run(const Window &window, const ThreadInfo &info) override;
78 
79 private:
80     /** Function to run YOLO layer
81      *
82      * @param[in] window Region on which to execute the kernel.
83      */
84     template <typename T, int S>
85     void yolo_layer_nchw(const Window &window);
86     /** Function to run YOLO layer on tensors with NHWC format
87      *
88      * @param[in] window Region on which to execute the kernel.
89      */
90     template <typename T>
91     void yolo_layer_nhwc(const Window &window);
92     /** Common signature for all the yolo layer functions
93      *
94      * @param[in] window Region on which to execute the kernel.
95      */
96     using YOLOFunctionPtr = void (NEYOLOLayerKernel::*)(const Window &window);
97 
98 private:
99     YOLOFunctionPtr     _func;
100     ITensor            *_input;
101     ITensor            *_output;
102     ActivationLayerInfo _act_info;
103     int32_t             _num_classes;
104 };
105 } // namespace arm_compute
106 #endif /*ARM_COMPUTE_NEYOLOLAYERKERNEL_H */
107