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
|
/*
* Copyright (c) 2023-2024 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 ACL_ARM_COMPUTE_RUNTIME_NEON_FUNCTIONS_NEMATMUL_H
#define ACL_ARM_COMPUTE_RUNTIME_NEON_FUNCTIONS_NEMATMUL_H
#include "arm_compute/core/Types.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "arm_compute/runtime/IFunction.h"
#include <memory>
namespace arm_compute
{
/** Settings for MatMul Cpu implementation*/
class CpuMatMulSettings
{
public:
// get fast math flag
bool fast_math() const
{
return _fast_math;
}
// get fixed format flag
bool fixed_format() const
{
return _fixed_format;
}
// Set fast math flag
CpuMatMulSettings &fast_math(bool fmath)
{
_fast_math = fmath;
return *this;
}
// Set fixed format flag
CpuMatMulSettings &fixed_format(bool fixed_format)
{
_fixed_format = fixed_format;
return *this;
}
private:
bool _fast_math{false};
bool _fixed_format{false};
};
// Forward declarations
class ITensor;
class ITensorInfo;
class MatMulInfo;
class Status;
/** Basic function to run the following operators:
*
* -# @ref cpu::CpuMatMul
*/
class NEMatMul : public IFunction
{
public:
/** Constructor */
NEMatMul();
/** Destructor */
~NEMatMul();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEMatMul(const NEMatMul &) = delete;
/** Default move constructor */
NEMatMul(NEMatMul &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEMatMul &operator=(const NEMatMul &) = delete;
/** Default move assignment operator */
NEMatMul &operator=(NEMatMul &&) = default;
/** Initialize
*
* Valid data layouts:
* - Any
*
* Valid data type configurations:
* |lhs |rhs |dst |
* |:--------------|:------------------|:--------------|
* |F32 |F32 |F32 |
* |F16 |F16 |F16 |
* |BFLOAT16 |BFLOAT16 |BFLOAT16 |
* |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
* |QASYMM8 |QASYMM8 |QASYMM8 |
*
* @param[in] lhs Left-hand side tensor info. Data types supported: F16/F32/QASYMM8_SIGNED/QASYMM8.
* @param[in] rhs Right-hand side tensor info. Data types supported: same as @p lhs.
* @param[out] dst Output tensor to store the result of the batched matrix multiplication. Data types supported: same as @p lhs / @p rhs.
* @param[in] info Contains MatMul operation information described in @ref MatMulInfo.
* @param[in] settings Contains flags for function level settings i.e fast math
* @param[in] act_info (Optional) Contains activation function and lower and upper bound values for bounded activation functions.
*/
void configure(ITensor *lhs,
ITensor *rhs,
ITensor *dst,
const MatMulInfo &info,
const CpuMatMulSettings &settings,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEMatMul
*
* @param[in] lhs Left-hand side tensor info. Data types supported: F16/F32/QASYMM8_SIGNED/QASYMM8.
* @param[in] rhs Right-hand side tensor info. Data types supported: same as @p lhs.
* @param[out] dst Output tensor info to store the result of the batched matrix multiplication. Data types supported: same as @p lhs / @p rhs.
* @param[in] info Contains MatMul operation information described in @ref MatMulInfo.
* @param[in] settings Contains flags for function level settings i.e fast math
* @param[in] act_info (Optional) Contains activation function and lower and upper bound values for bounded activation functions.
*
* @return Status
*/
static Status validate(const ITensorInfo *lhs,
const ITensorInfo *rhs,
const ITensorInfo *dst,
const MatMulInfo &info,
const CpuMatMulSettings &settings,
const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
} // namespace arm_compute
#endif // ACL_ARM_COMPUTE_RUNTIME_NEON_FUNCTIONS_NEMATMUL_H
|
