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1 /*
2  * Copyright (c) 2016-2020 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_NEDERIVATIVEKERNEL_H
25 #define ARM_COMPUTE_NEDERIVATIVEKERNEL_H
26 
27 #include "src/core/NEON/INEKernel.h"
28 
29 namespace arm_compute
30 {
31 class ITensor;
32 
33 /** Interface for the kernel to run the derivative along the X/Y directions on a tensor.
34  *
35  */
36 class NEDerivativeKernel : public INEKernel
37 {
38 public:
name()39     const char *name() const override
40     {
41         return "NEDerivativeKernel";
42     }
43     /** Default constructor */
44     NEDerivativeKernel();
45     /** Prevent instances of this class from being copied (As this class contains pointers) */
46     NEDerivativeKernel(const NEDerivativeKernel &) = delete;
47     /** Prevent instances of this class from being copied (As this class contains pointers) */
48     NEDerivativeKernel &operator=(const NEDerivativeKernel &) = delete;
49     /** Allow instances of this class to be moved */
50     NEDerivativeKernel(NEDerivativeKernel &&) = default;
51     /** Allow instances of this class to be moved */
52     NEDerivativeKernel &operator=(NEDerivativeKernel &&) = default;
53     /** Default destructor */
54     ~NEDerivativeKernel() = default;
55     /** Initialise the kernel's sources, destination and border
56      *
57      * @note At least one of output_x or output_y must be set
58      *
59      * @param[in]  input            Source tensor. Data type supported: U8.
60      * @param[out] output_x         (Optional) Destination tensor for the X gradient. Data type supported: S16.
61      * @param[out] output_y         (Optional) Destination tensor for the Y gradient. Data type supported: S16.
62      * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
63      */
64     void configure(const ITensor *input, ITensor *output_x, ITensor *output_y, bool border_undefined);
65 
66     // Inherited methods overridden:
67     void run(const Window &window, const ThreadInfo &info) override;
68     BorderSize border_size() const override;
69 
70 private:
71     /** Function to perform derivative along the X direction on the given window
72      *
73      * @param[in] window Region on which to execute the kernel
74      */
75     void derivative_x(const Window &window);
76     /** Function to perform derivative along the Y direction on the given window
77      *
78      * @param[in] window Region on which to execute the kernel
79      */
80     void derivative_y(const Window &window);
81     /** Function to perform derivative along the X and Y direction on the given window
82      *
83      * @param[in] window Region on which to execute the kernel
84      */
85     void derivative_xy(const Window &window);
86     /** Common signature for all the specialised derivative functions
87      *
88      * @param[in] window Region on which to execute the kernel.
89      */
90     using DerivativeFunction = void (NEDerivativeKernel::*)(const Window &window);
91     /** Derivative function to use for the particular tensor types passed to configure() */
92     DerivativeFunction _func;
93 
94 private:
95     const ITensor *_input;    /**< Input tensor */
96     ITensor       *_output_x; /**< Output tensor - Derivate along the X direction */
97     ITensor       *_output_y; /**< Output tensor - Derivate along the Y direction */
98 };
99 } // namespace arm_compute
100 #endif /* ARM_COMPUTE_NEDERIVATIVEKERNEL_H */
101