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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_ICPPKERNEL_H
25 #define ARM_COMPUTE_ICPPKERNEL_H
26 
27 #include "arm_compute/core/CPP/CPPTypes.h"
28 #include "arm_compute/core/IKernel.h"
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/core/experimental/Types.h"
31 
32 namespace arm_compute
33 {
34 class Window;
35 class ITensor;
36 
37 /** Common interface for all kernels implemented in C++ */
38 class ICPPKernel : public IKernel
39 {
40 public:
41     /** Default destructor */
42     virtual ~ICPPKernel() = default;
43 
44     /** Execute the kernel on the passed window
45      *
46      * @warning If is_parallelisable() returns false then the passed window must be equal to window()
47      *
48      * @note The window has to be a region within the window returned by the window() method
49      *
50      * @note The width of the window has to be a multiple of num_elems_processed_per_iteration().
51      *
52      * @param[in] window Region on which to execute the kernel. (Must be a region of the window returned by window())
53      * @param[in] info   Info about executing thread and CPU.
54      */
run(const Window & window,const ThreadInfo & info)55     virtual void run(const Window &window, const ThreadInfo &info)
56     {
57         ARM_COMPUTE_UNUSED(window, info);
58         ARM_COMPUTE_ERROR("default implementation of legacy run() virtual member function invoked");
59     }
60 
61     /** legacy compatibility layer for implemantions which do not support thread_locator
62      * In these cases we simply narrow the interface down the legacy version
63      *
64      * @param[in] window         Region on which to execute the kernel. (Must be a region of the window returned by window())
65      * @param[in] info           Info about executing thread and CPU.
66      * @param[in] thread_locator Specifies "where" the current thread is in the multi-dimensional space
67      */
run_nd(const Window & window,const ThreadInfo & info,const Window & thread_locator)68     virtual void run_nd(const Window &window, const ThreadInfo &info, const Window &thread_locator)
69     {
70         ARM_COMPUTE_UNUSED(thread_locator);
71         run(window, info);
72     }
73 
74     /** Execute the kernel on the passed window
75      *
76      * @warning If is_parallelisable() returns false then the passed window must be equal to window()
77      *
78      * @note The window has to be a region within the window returned by the window() method
79      *
80      * @note The width of the window has to be a multiple of num_elems_processed_per_iteration().
81      *
82      * @param[in] tensors A vector containing the tensors to operate on.
83      * @param[in] window  Region on which to execute the kernel. (Must be a region of the window returned by window())
84      * @param[in] info    Info about executing thread and CPU.
85      */
run_op(ITensorPack & tensors,const Window & window,const ThreadInfo & info)86     virtual void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
87     {
88         ARM_COMPUTE_UNUSED(tensors, window, info);
89     }
90 
91     /** Name of the kernel
92      *
93      * @return Kernel name
94      */
95     virtual const char *name() const = 0;
96 };
97 } // namespace arm_compute
98 #endif /*ARM_COMPUTE_ICPPKERNEL_H */
99