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
|
/*
* Copyright (c) 2017 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_GCGEMMMATRIXMULTIPLYKERNEL_H__
#define __ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H__
#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
namespace arm_compute
{
class IGCTensor;
/** GLES Compute kernel to multiply two input matrices "A" and "B" or to multiply a vector "A" by a matrix "B". All elements of the output matrix/vector will be multiplied by alpha
*
* @note If the output tensor is a matrix, the implementation assumes that the input tensors @p input0 and @p input1 are both matrices and reshaped respectively with @ref GCGEMMInterleave4x4Kernel" and @ref GCGEMMTranspose1xWKernel
* @note If the output tensor is a vector and the data type is F32, the implementation assumes that the first input tensor @p input0 is a vector and the second input tensor @p input1 a matrix. The implementation also assumes that both tensors have not been reshaped
*
* @attention The second input tensor must have at least 2 dimensions (matrix)
*
*/
class GCGEMMMatrixMultiplyKernel : public IGCKernel
{
public:
/** Default constructor */
GCGEMMMatrixMultiplyKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
GCGEMMMatrixMultiplyKernel(const GCGEMMMatrixMultiplyKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
GCGEMMMatrixMultiplyKernel &operator=(const GCGEMMMatrixMultiplyKernel &) = delete;
/** Allow instances of this class to be moved */
GCGEMMMatrixMultiplyKernel(GCGEMMMatrixMultiplyKernel &&) = default;
/** Allow instances of this class to be moved */
GCGEMMMatrixMultiplyKernel &operator=(GCGEMMMatrixMultiplyKernel &&) = default;
/** Initialise the kernel's input, output and alpha
*
* @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32
* @param[in] input1 Input tensor containing the transposed Matrix B if the first input tensor A is not a vector.
* If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0
* @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0
* @param[in] alpha Weight of the matrix product
* @param[in] is_interleaved_transposed (Optional) True if input0 and input1 have been reshaped respectively using @ref GCGEMMInterleave4x4Kernel and @ref GCGEMMTranspose1xWKernel
*/
void configure(const IGCTensor *input0, const IGCTensor *input1, IGCTensor *output, float alpha, bool is_interleaved_transposed = true);
// Inherited methods overridden:
void run(const Window &window) override;
private:
const IGCTensor *_input0;
const IGCTensor *_input1;
IGCTensor *_output;
};
}
#endif /* __ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H__ */
|
