cublas.h 4.5 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Q
qijun 已提交
2

3 4 5
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Q
qijun 已提交
6

7
    http://www.apache.org/licenses/LICENSE-2.0
Q
qijun 已提交
8

9 10 11 12 13
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
Q
qijun 已提交
14 15 16

#pragma once

17
#include <cublasXt.h>
Q
qijun 已提交
18
#include <cublas_v2.h>
19 20
#include <cuda.h>
#include <mutex>  // NOLINT
21
#include <type_traits>
Y
Yi Wang 已提交
22
#include "paddle/fluid/platform/dynload/dynamic_loader.h"
D
dzhwinter 已提交
23
#include "paddle/fluid/platform/port.h"
Q
qijun 已提交
24 25

namespace paddle {
Q
qijun 已提交
26
namespace platform {
Q
qijun 已提交
27
namespace dynload {
Q
qijun 已提交
28

Y
Yu Yang 已提交
29 30
extern std::once_flag cublas_dso_flag;
extern void *cublas_dso_handle;
Q
qijun 已提交
31 32 33 34 35 36 37 38

/**
 * The following macro definition can generate structs
 * (for each function) to dynamic load cublas routine
 * via operator overloading.
 *
 * note: default dynamic linked libs
 */
39 40
#define DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(__name)                             \
  struct DynLoad__##__name {                                                 \
41
    using FUNC_TYPE = decltype(&::__name);                                   \
42 43 44 45 46
    template <typename... Args>                                              \
    inline cublasStatus_t operator()(Args... args) {                         \
      std::call_once(cublas_dso_flag, []() {                                 \
        cublas_dso_handle = paddle::platform::dynload::GetCublasDsoHandle(); \
      });                                                                    \
Y
yuyang18 已提交
47
      static void *p_##__name = dlsym(cublas_dso_handle, #__name);           \
48
      return reinterpret_cast<FUNC_TYPE>(p_##__name)(args...);               \
49 50
    }                                                                        \
  };                                                                         \
Y
Yu Yang 已提交
51
  extern DynLoad__##__name __name
Q
qijun 已提交
52 53

#define CUBLAS_BLAS_ROUTINE_EACH(__macro) \
54 55
  __macro(cublasSaxpy_v2);                \
  __macro(cublasDaxpy_v2);                \
56 57 58 59
  __macro(cublasSscal_v2);                \
  __macro(cublasDscal_v2);                \
  __macro(cublasScopy_v2);                \
  __macro(cublasDcopy_v2);                \
Q
qijun 已提交
60 61 62 63
  __macro(cublasSgemv_v2);                \
  __macro(cublasDgemv_v2);                \
  __macro(cublasSgemm_v2);                \
  __macro(cublasDgemm_v2);                \
64 65
  __macro(cublasHgemm);                   \
  __macro(cublasSgemmEx);                 \
66 67
  __macro(cublasSgeam);                   \
  __macro(cublasDgeam);                   \
G
Guo Sheng 已提交
68 69
  __macro(cublasStrsm_v2);                \
  __macro(cublasDtrsm_v2);                \
Q
qijun 已提交
70 71 72 73 74 75 76 77 78 79 80 81
  __macro(cublasCreate_v2);               \
  __macro(cublasDestroy_v2);              \
  __macro(cublasSetStream_v2);            \
  __macro(cublasSetPointerMode_v2);       \
  __macro(cublasGetPointerMode_v2);       \
  __macro(cublasSgemmBatched);            \
  __macro(cublasDgemmBatched);            \
  __macro(cublasCgemmBatched);            \
  __macro(cublasZgemmBatched);            \
  __macro(cublasSgetrfBatched);           \
  __macro(cublasSgetriBatched);           \
  __macro(cublasDgetrfBatched);           \
82 83 84
  __macro(cublasDgetriBatched);           \
  __macro(cublasSmatinvBatched);          \
  __macro(cublasDmatinvBatched);
Q
qijun 已提交
85

86 87
CUBLAS_BLAS_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP)

88 89
// APIs available after CUDA 8.0
#if CUDA_VERSION >= 8000
C
chengduozh 已提交
90 91 92 93 94 95 96 97 98
#define CUBLAS_BLAS_ROUTINE_EACH_R2(__macro) \
  __macro(cublasGemmEx);                     \
  __macro(cublasSgemmStridedBatched);        \
  __macro(cublasDgemmStridedBatched);        \
  __macro(cublasCgemmStridedBatched);        \
  __macro(cublasZgemmStridedBatched);        \
  __macro(cublasHgemmStridedBatched);

CUBLAS_BLAS_ROUTINE_EACH_R2(DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP)
99 100
#endif

101 102
// APIs available after CUDA 9.0
#if CUDA_VERSION >= 9000
C
chengduozh 已提交
103 104 105 106 107
#define CUBLAS_BLAS_ROUTINE_EACH_R3(__macro) \
  __macro(cublasSetMathMode);                \
  __macro(cublasGetMathMode);

CUBLAS_BLAS_ROUTINE_EACH_R3(DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP)
108
#endif
109

C
chengduozh 已提交
110
// APIs available after CUDA 9.1
111
#if CUDA_VERSION >= 9010
C
chengduozh 已提交
112 113 114 115 116
#define CUBLAS_BLAS_ROUTINE_EACH_R4(__macro) \
  __macro(cublasGemmBatchedEx);              \
  __macro(cublasGemmStridedBatchedEx);

CUBLAS_BLAS_ROUTINE_EACH_R4(DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP)
117
#endif
Q
qijun 已提交
118

Y
Yu Yang 已提交
119
#undef DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
Q
qijun 已提交
120
}  // namespace dynload
Q
qijun 已提交
121
}  // namespace platform
Q
qijun 已提交
122
}  // namespace paddle