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
|
/*
* Copyright (c) 2023 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_SRC_GPU_CL_KERNELS_CLMATMULNATIVEMMULKERNEL
#define ACL_SRC_GPU_CL_KERNELS_CLMATMULNATIVEMMULKERNEL
#include "src/core/common/Macros.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
namespace arm_compute
{
struct MatMulKernelInfo;
namespace opencl
{
namespace kernels
{
class ClMatMulNativeMMULKernel : public IClKernel
{
public:
ClMatMulNativeMMULKernel();
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClMatMulNativeMMULKernel);
/** Initialize the kernel's input and output.
*
* This kernel performs matrix multiplication of lhs and rhs:
*
* dst = matmul(lhs, rhs)
*
* Valid data layouts:
* - All
*
* Valid data type configurations:
* |lhs |rhs |dst |
* |:--------------|:--------------|:--------------|
* |F32 |F32 |F32 |
* |F16 |F16 |F16 |
*
* Shape definitions:
* Dim0, Dim1, Dim2...
* lhs: [ K, M, Batch dims...]
* rhs: [ N, K, Batch dims...]
* dst: [ N, M, Batch dims...]
*
* Valid shape configurations:
* - K must be a multiple of 4 (MMUL_K0).
* - No broadcasting in batch dimensions. I.e. batch dims must be the same across lhs, rhs and dst
*
* @param[in] compile_context The compile context to be used.
* @param[in] lhs Input tensor info for the LHS matrix.
* @param[in] rhs Input tensor info for the RHS matrix.
* @param[in] bias Bias tensor info. Can be nullptr. Data type supported: Same as @p lhs.
* @param[out] dst Output tensor info.
* @param[in] matmul_info Attributes for Batch MatMul Kernel
*/
void configure(const ClCompileContext &compile_context,
ITensorInfo *lhs,
ITensorInfo *rhs,
ITensorInfo *bias,
ITensorInfo *dst,
const MatMulKernelInfo &matmul_info);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref ClMatMulNativeMMULKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *lhs,
const ITensorInfo *rhs,
const ITensorInfo *bias,
const ITensorInfo *dst,
const MatMulKernelInfo &matmul_info);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
private:
int _m{1};
int _n{1};
int _k{1};
};
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
#endif /* ACL_SRC_GPU_CL_KERNELS_CLMATMULNATIVEMMULKERNEL */
|
