xref: /aosp_15_r20/external/ComputeLibrary/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2016-2021 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_CLPIXELWISEMULTIPLICATION_H
25 #define ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H
26 
27 #include "arm_compute/runtime/CL/ICLOperator.h"
28 #include "arm_compute/runtime/IFunction.h"
29 
30 namespace arm_compute
31 {
32 // Forward declaration
33 class CLCompileContext;
34 class ICLTensor;
35 class ITensorInfo;
36 
37 /** Basic function to run @ref opencl::ClMul. */
38 class CLPixelWiseMultiplication : public IFunction
39 {
40 public:
41     /** Default Constructor */
42     CLPixelWiseMultiplication();
43     /** Default Destructor */
44     ~CLPixelWiseMultiplication();
45     /** Prevent instances of this class from being copied (As this class contains pointers) */
46     CLPixelWiseMultiplication(const CLPixelWiseMultiplication &) = delete;
47     /** Default move constructor */
48     CLPixelWiseMultiplication(CLPixelWiseMultiplication &&);
49     /** Prevent instances of this class from being copied (As this class contains pointers) */
50     CLPixelWiseMultiplication &operator=(const CLPixelWiseMultiplication &) = delete;
51     /** Default move assignment operator */
52     CLPixelWiseMultiplication &operator=(CLPixelWiseMultiplication &&);
53     /** Initialise the kernel's inputs, output and convertion policy.
54      *
55      * Valid data layouts:
56      * - All
57      *
58      * Valid data type configurations:
59      * |src0           |src1           |dst            |
60      * |:--------------|:--------------|:--------------|
61      * |QASYMM8        |QASYMM8        |QASYMM8        |
62      * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
63      * |QSYMM16        |QSYMM16        |QASYMM16       |
64      * |QSYMM16        |QSYMM16        |S32            |
65      * |U8             |U8             |U8             |
66      * |U8             |U8             |S16            |
67      * |U8             |S16            |S16            |
68      * |S16            |U8             |S16            |
69      * |S16            |S16            |S16            |
70      * |F16            |F16            |F16            |
71      * |F32            |F32            |F32            |
72      * |S32            |S32            |S32            |
73      *
74      * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
75      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
76      * @param[in, out] input2          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
77      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
78      * @param[out]     output          The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
79      * @param[in]      scale           Scale to apply after multiplication.
80      *                                 Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
81      * @param[in]      overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
82      * @param[in]      rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
83      * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
84      */
85     void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
86                    ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
87     /** Initialise the kernel's inputs, output and convertion policy.
88      *
89      * @param[in]      compile_context The compile context to be used.
90      * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
91      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
92      * @param[in, out] input2          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
93      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
94      * @param[out]     output          The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
95      * @param[in]      scale           Scale to apply after multiplication.
96      *                                 Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
97      * @param[in]      overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
98      * @param[in]      rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
99      * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
100      */
101     void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
102                    ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
103     /** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplication
104      *
105      * @param[in] input1          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
106      * @param[in] input2          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
107      * @param[in] output          The output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
108      * @param[in] scale           Scale to apply after multiplication.
109      *                            Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
110      * @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
111      * @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
112      * @param[in] act_info        (Optional) Activation layer information in case of a fused activation.
113      *
114      * @return a status
115      */
116     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
117                            ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
118 
119     // Inherited methods overridden:
120     void run() override;
121 
122 private:
123     struct Impl;
124     std::unique_ptr<Impl> _impl;
125 };
126 
127 /** Basic function to run @ref opencl::ClComplexMul. */
128 class CLComplexPixelWiseMultiplication : public IFunction
129 {
130 public:
131     /** Default Constructor */
132     CLComplexPixelWiseMultiplication();
133     /** Default Destructor */
134     ~CLComplexPixelWiseMultiplication();
135     /** Prevent instances of this class from being copied (As this class contains pointers) */
136     CLComplexPixelWiseMultiplication(const CLComplexPixelWiseMultiplication &) = delete;
137     /** Default move constructor */
138     CLComplexPixelWiseMultiplication(CLComplexPixelWiseMultiplication &&);
139     /** Prevent instances of this class from being copied (As this class contains pointers) */
140     CLComplexPixelWiseMultiplication &operator=(const CLComplexPixelWiseMultiplication &) = delete;
141     /** Default move assignment operator */
142     CLComplexPixelWiseMultiplication &operator=(CLComplexPixelWiseMultiplication &&);
143     /** Initialise the kernel's inputs, output.
144      *
145      * @param[in, out] input1   An input tensor. Data types supported: F16/F32. Number of channels supported: 2.
146      *                          The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
147      * @param[in, out] input2   An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
148      *                          The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
149      * @param[out]     output   The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
150      * @param[in]      act_info (Optional) Activation layer information in case of a fused activation.
151      */
152     void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
153     /** Initialise the kernel's inputs, output.
154      *
155      * @param[in]      compile_context The compile context to be used.
156      * @param[in, out] input1          An input tensor. Data types supported: F16/F32. Number of channels supported: 2.
157      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
158      * @param[in, out] input2          An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
159      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
160      * @param[out]     output          The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
161      * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
162      */
163     void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
164     /** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
165      *
166      * @param[in] input1   An input tensor info. Data types supported: F16/F32. Number of channels supported: 2.
167      * @param[in] input2   An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
168      * @param[in] output   The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
169      * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
170      */
171     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
172 
173     // Inherited methods overridden:
174     void run() override;
175 
176 private:
177     struct Impl;
178     std::unique_ptr<Impl> _impl;
179 };
180 } // namespace arm_compute
181 #endif /*ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H */
182