1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
|
/*
* Copyright (c) 2016-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_NEPIXELWISEMULTIPLICATIONKERNEL_H
#define ARM_COMPUTE_NEPIXELWISEMULTIPLICATIONKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class ITensor;
/** Interface for the kernel to perform addition between two tensors */
class NEPixelWiseMultiplicationKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEPixelWiseMultiplicationKernel";
}
/** Default constructor */
NEPixelWiseMultiplicationKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPixelWiseMultiplicationKernel(const NEPixelWiseMultiplicationKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPixelWiseMultiplicationKernel &operator=(const NEPixelWiseMultiplicationKernel &) = delete;
/** Allow instances of this class to be moved */
NEPixelWiseMultiplicationKernel(NEPixelWiseMultiplicationKernel &&) = default;
/** Allow instances of this class to be moved */
NEPixelWiseMultiplicationKernel &operator=(NEPixelWiseMultiplicationKernel &&) = default;
/** Default destructor */
~NEPixelWiseMultiplicationKernel() = default;
/** Initialise the kernel's input, output and border mode.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
*
* @param[in] input1 First input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
* @param[in] input2 Second input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8, QASYMM8_SIGNED or QSYMM16.
* @param[in] rounding_policy Rounding policy.
*/
void configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplicationKernel
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
*
* @param[in] input1 First input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
* @param[in] input2 Second input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32
* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8, QASYMM8_SIGNED or QSYMM16.
* @param[in] rounding_policy Rounding policy.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
// Inherited methods overridden
void run_op(const InputTensorMap &inputs, const OutputTensorMap &outputs, const Window &window, const ThreadInfo &info) override;
private:
/** Common signature for all the specialised multiplication functions with integer scaling factor
*
* @param[in] in1 Input1 tensor object.
* @param[in] in2 Input2 tensor object.
* @param[out] out Output tensor object.
* @param[in] window Region on which to execute the kernel
* @param[in] scale Integer scale factor.
*/
using MulFunctionInt = void(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, int scale);
/** Common signature for all the specialised multiplication functions with float scaling factor
*
* @param[in] in1 Input1 tensor object.
* @param[in] in2 Input2 tensor object.
* @param[out] out Output tensor object.
* @param[in] window Region on which to execute the kernel
* @param[in] scale Float scale factor.
*/
using MulFunctionFloat = void(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, float scale);
/** Common signature for all the specialised QASYMM8 multiplication functions with float scaling factor
*
* @param[in] in1 Input1 tensor object.
* @param[in] in2 Input2 tensor object.
* @param[out] out Output tensor object.
* @param[in] window Region on which to execute the kernel
* @param[in] scale Float scale factor.
*
*/
using MulFunctionQuantized = void(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, float scale);
MulFunctionFloat *_func_float;
MulFunctionInt *_func_int;
MulFunctionQuantized *_func_quantized;
private:
float _scale;
int _scale_exponent;
};
/** Interface for the complex pixelwise multiplication kernel. */
class NEComplexPixelWiseMultiplicationKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEComplexPixelWiseMultiplicationKernel";
}
/** Initialise the kernel's input, output and border mode.
*
* @param[in] input1 An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
* @param[in] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
*/
void configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplicationKernel
*
* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] output The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
// Inherited methods overridden:
void run_op(const InputTensorMap &inputs, const OutputTensorMap &outputs, const Window &window, const ThreadInfo &info) override;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEPIXELWISEMULTIPLICATIONKERNEL_H */
|
