forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
LinearAlgebra.cpp
157 lines (136 loc) · 6.97 KB
/
LinearAlgebra.cpp
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
#define TORCH_ASSERT_NO_OPERATORS
#include <ATen/native/mkl/LinearAlgebra.h>
#include <ATen/Config.h>
C10_DIAGNOSTIC_PUSH_AND_IGNORED_IF_DEFINED("-Wunused-parameter")
#if !AT_MKL_ENABLED()
namespace at { namespace native {
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const float alpha,
const float** A, const MKL_INT lda, const float** B, const MKL_INT ldb, const float beta,
float** C, const MKL_INT ldc) {
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_batched: ATen not compiled with MKL support");
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const double alpha,
const double** A, const MKL_INT lda, const double** B, const MKL_INT ldb, const double beta,
double** C, const MKL_INT ldc) {
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_batched: ATen not compiled with MKL support");
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const c10::complex<float> alpha,
const c10::complex<float>** A, const MKL_INT lda, const c10::complex<float>** B, const MKL_INT ldb,
const c10::complex<float> beta, c10::complex<float>** C, const MKL_INT ldc) {
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_batched: ATen not compiled with MKL support");
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const c10::complex<double> alpha,
const c10::complex<double>** A, const MKL_INT lda, const c10::complex<double>** B, const MKL_INT ldb,
const c10::complex<double> beta, c10::complex<double>** C, const MKL_INT ldc) {
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_batched: ATen not compiled with MKL support");
}
void mkl_gemm_bf16bf16f32(
TransposeType trans_A, TransposeType trans_B,
MKL_INT M, MKL_INT N, MKL_INT K, const float alpha,
const c10::BFloat16* A, MKL_INT lda, const c10::BFloat16* B, MKL_INT ldb,
const float beta, float* C, MKL_INT ldc) {
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_bf16bf16f32: ATen not compiled with MKL support");
}
void mkl_gemm_f16f16f32(
TransposeType trans_A, TransposeType trans_B,
int M, int N, int K, const float alpha,
const c10::Half* A, int lda, const c10::Half* B, int ldb,
const float beta, float* C, int ldc) {
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_f16f16f32: ATen not compiled with MKL support");
}
}}
#else // AT_MKL_ENABLED
#include <mkl.h>
#include <c10/util/irange.h>
namespace at { namespace native {
static CBLAS_TRANSPOSE to_cblas(TransposeType x) {
switch (x) {
case TransposeType::NoTranspose: return CblasNoTrans;
case TransposeType::Transpose: return CblasTrans;
case TransposeType::ConjTranspose: return CblasConjTrans;
}
TORCH_INTERNAL_ASSERT(false, "Unknown TransposeType");
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const float alpha,
const float** A, const MKL_INT lda, const float** B, const MKL_INT ldb, const float beta,
float** C, const MKL_INT ldc) {
auto transa_cblas = to_cblas(trans_A);
auto transb_cblas = to_cblas(trans_B);
cblas_sgemm_batch(CblasColMajor, &transa_cblas, &transb_cblas, &M, &N, &K, &alpha,
A, &lda, B, &ldb, &beta, C, &ldc, 1, &batch_size);
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const double alpha,
const double** A, const MKL_INT lda, const double** B, const MKL_INT ldb, const double beta,
double** C, const MKL_INT ldc) {
auto transa_cblas = to_cblas(trans_A);
auto transb_cblas = to_cblas(trans_B);
cblas_dgemm_batch(CblasColMajor, &transa_cblas, &transb_cblas, &M, &N, &K, &alpha,
A, &lda, B, &ldb, &beta, C, &ldc, 1, &batch_size);
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const c10::complex<float> alpha,
const c10::complex<float>** A, const MKL_INT lda, const c10::complex<float>** B, const MKL_INT ldb,
const c10::complex<float> beta, c10::complex<float>** C, const MKL_INT ldc) {
auto transa_cblas = to_cblas(trans_A);
auto transb_cblas = to_cblas(trans_B);
cblas_cgemm_batch(CblasColMajor, &transa_cblas, &transb_cblas, &M, &N, &K,
reinterpret_cast<const void*>(&alpha),
reinterpret_cast<const void**>(A), &lda, reinterpret_cast<const void**>(B), &ldb,
reinterpret_cast<const void*>(&beta), reinterpret_cast<void**>(C), &ldc, 1, &batch_size);
}
void mkl_gemm_batched(
const TransposeType trans_A, const TransposeType trans_B,
const MKL_INT batch_size, const MKL_INT M, const MKL_INT N, const MKL_INT K, const c10::complex<double> alpha,
const c10::complex<double>** A, const MKL_INT lda, const c10::complex<double>** B, const MKL_INT ldb,
const c10::complex<double> beta, c10::complex<double>** C, const MKL_INT ldc) {
auto transa_cblas = to_cblas(trans_A);
auto transb_cblas = to_cblas(trans_B);
cblas_zgemm_batch(CblasColMajor, &transa_cblas, &transb_cblas, &M, &N, &K,
reinterpret_cast<const void*>(&alpha),
reinterpret_cast<const void**>(A), &lda, reinterpret_cast<const void**>(B), &ldb,
reinterpret_cast<const void*>(&beta), reinterpret_cast<void**>(C), &ldc, 1, &batch_size);
}
void mkl_gemm_bf16bf16f32(
TransposeType trans_A, TransposeType trans_B,
MKL_INT M, MKL_INT N, MKL_INT K, const float alpha,
const c10::BFloat16* A, MKL_INT lda, const c10::BFloat16* B, MKL_INT ldb,
const float beta, float* C, MKL_INT ldc) {
#ifdef MKL_HAS_SBGEMM
auto transa_cblas = to_cblas(trans_A);
auto transb_cblas = to_cblas(trans_B);
cblas_gemm_bf16bf16f32(CblasColMajor, transa_cblas, transb_cblas, M, N, K, alpha,
(const MKL_BF16*)A, lda, (const MKL_BF16*)B, ldb, beta, C, ldc);
#else
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_bf16bf16f32 requires mkl version > 2021.0");
#endif
}
void mkl_gemm_f16f16f32(
TransposeType trans_A, TransposeType trans_B,
int M, int N, int K, const float alpha,
const c10::Half* A, int lda, const c10::Half* B, int ldb,
const float beta, float* C, int ldc) {
#ifdef MKL_HAS_SHGEMM
auto transa_cblas = to_cblas(trans_A);
auto transb_cblas = to_cblas(trans_B);
cblas_gemm_f16f16f32(CblasColMajor, transa_cblas, transb_cblas, M, N, K, alpha,
(const MKL_F16*)A, lda, (const MKL_F16*)B, ldb, beta, C, ldc);
#else
TORCH_INTERNAL_ASSERT(false, "mkl_gemm_f16f16f32 requires mkl version >= 2024.0");
#endif
}
}} // namespace at::native
#endif
C10_CLANG_DIAGNOSTIC_POP()