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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229
|
#!/usr/bin/env python
"""
Python interface to CUBLAS-XT functions.
Note: this module does not explicitly depend on PyCUDA.
"""
import ctypes
from .cublas import cublasCheckStatus, _libcublas, _CUBLAS_OP, _types
from . import cuda
_CUBLAS_XT_OP_TYPE = {
0: 0, # CUBLASXT_FLOAT
1: 1, # CUBLASXT_DOUBLE
2: 2, # CUBLASXT_COMPLEX
3: 3, # CUBLASXT_DOUBLECOMPLEX
}
_CUBLAS_XT_BLAS_OP = {
0 : 0, # CUBLASXT_GEMM
1: 1, # CUBLASXT_SYRK
2: 2, # CUBLASXT_HERK
3: 3, # CUBLASXT_SYMM
4: 4, # CUBLASXT_HEMM
5: 5, # CUBLASXT_TRSM
6: 6, # CUBLASXT_SYR2K
7: 7, # CUBLASXT_HER2K
8: 8, # CUBLASXT_SPMM
9: 9, # CUBLASXT_SYRKX
10: 10, # CUBLASXT_HERKX
11: 11, # CUBLASXT_TRMM
12: 12, # CUBLASXT_ROUTINE_MAX
}
_CUBLAS_XT_PINNING_MEM_MODE = {
0: 0, # CUBLASXT_PINNING_DISABLED
1: 1, # CUBLASXT_PINNING_ENABLED
}
_libcublas.cublasXtCreate.restype = int
_libcublas.cublasXtCreate.argtypes = [_types.handle]
def cublasXtCreate():
handle = _types.handle()
status = _libcublas.cublasXtCreate(ctypes.byref(handle))
cublasCheckStatus(status)
return handle.value
_libcublas.cublasXtDestroy.restype = int
_libcublas.cublasXtDestroy.argtypes = [_types.handle]
def cublasXtDestroy(handle):
status = _libcublas.cublasXtDestroy(handle)
cublasCheckStatus(status)
_libcublas.cublasXtGetNumBoards.restype = int
_libcublas.cublasXtGetNumBoards.argtypes = [ctypes.c_int,
ctypes.c_void_p,
ctypes.c_void_p]
def cublasXtGetNumBoards(nbDevices, deviceId):
nbBoards = ctypes.c_int()
status = _libcublas.cublasXtGetNumBoards(nbDevices, deviceId, ctypes.byref(nbBoards))
cublasCheckStatus(status)
return nbBoards.value
_libcublas.cublasXtMaxBoards.restype = int
_libcublas.cublasXtMaxBoards.argtypes = [ctypes.c_void_p]
def cublasXtMaxBoards():
nbGpuBoards = ctypes.c_int()
status = _libcublas.cublasXtMaxBoards(ctypes.byref(nbGpuBoards))
cublasCheckStatus(status)
return nbGpuBoards.value
_libcublas.cublasXtDeviceSelect.restype = int
_libcublas.cublasXtDeviceSelect.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_void_p]
def cublasXtDeviceSelect(handle, nbDevices, deviceId):
status = _libcublas.cublasXtDeviceSelect(handle, nbDevices, deviceId.ctypes.data)
cublasCheckStatus(status)
_libcublas.cublasXtSetBlockDim.restype = int
_libcublas.cublasXtSetBlockDim.argtypes = [_types.handle,
ctypes.c_void_p]
def cublasXtSetBlockDim(handle, blockDim):
status = _libcublas.cublasXtSetBlockDim(handle, blockDim)
cublasCheckStatus(status)
_libcublas.cublasXtGetBlockDim.restype = int
_libcublas.cublasXtGetBlockDim.argtypes = [_types.handle,
ctypes.c_void_p]
def cublasXtGetBlockDim(handle):
blockDim = ctypes.c_void_p()
status = _libcublas.cublasXtSetBlockDim(handle, ctypes.byref(blockDim))
cublasCheckStatus(status)
return blockDim.value
_libcublas.cublasXtSetCpuRoutine.restype = int
_libcublas.cublasXtSetCpuRoutine.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_int,
ctypes.c_void_p]
def cublasXtSetCpuRoutine(handle, blasOp, type, blasFunctor):
status = _libcublas.cublasXtSetCpuRoutine(handle, blasOp, type, blasFunctor)
cublasCheckStatus(status)
_libcublas.cublasXtSetCpuRatio.restype = int
_libcublas.cublasXtSetCpuRatio.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_int,
ctypes.c_float]
def cublasXtSetCpuRatio(handle, blasOp, type, ratio):
status = _libcublas.cublasXtSetCpuRatio(handle, blasOp, type, ratio)
cublasCheckStatus(status)
_libcublas.cublasXtSetPinningMemMode.restype = int
_libcublas.cublasXtSetPinningMemMode.argtypes = [_types.handle,
ctypes.c_int]
def cublasXtSetPinningMemMode(handle, mode):
status = _libcublas.cublasXtSetPinningMemMode(handle, mode)
cublasCheckStatus(status)
_libcublas.cublasXtSgemm.restype = int
_libcublas.cublasXtSgemm.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_int,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t]
def cublasXtSgemm(handle, transa, transb, m, n, k, alpha, A, lda, B, ldb,
beta, C, ldc):
status = _libcublas.cublasXtSgemm(handle,
_CUBLAS_OP[transa],
_CUBLAS_OP[transb], m, n, k,
ctypes.byref(ctypes.c_float(alpha)),
int(A), lda, int(B), ldb,
ctypes.byref(ctypes.c_float(beta)),
int(C), ldc)
cublasCheckStatus(status)
_libcublas.cublasXtDgemm.restype = int
_libcublas.cublasXtDgemm.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_int,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t]
def cublasXtDgemm(handle, transa, transb, m, n, k, alpha, A, lda, B, ldb,
beta, C, ldc):
status = _libcublas.cublasXtDgemm(handle,
_CUBLAS_OP[transa],
_CUBLAS_OP[transb], m, n, k,
ctypes.byref(ctypes.c_double(alpha)),
int(A), lda, int(B), ldb,
ctypes.byref(ctypes.c_double(beta)),
int(C), ldc)
cublasCheckStatus(status)
_libcublas.cublasXtCgemm.restype = int
_libcublas.cublasXtCgemm.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_int,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t]
def cublasXtCgemm(handle, transa, transb, m, n, k, alpha, A, lda, B, ldb,
beta, C, ldc):
status = _libcublas.cublasXtCgemm(handle,
_CUBLAS_OP[transa],
_CUBLAS_OP[transb], m, n, k,
ctypes.byref(cuda.cuFloatComplex(alpha.real,
alpha.imag)),
int(A), lda, int(B), ldb,
ctypes.byref(cuda.cuFloatComplex(beta.real,
beta.imag)),
int(C), ldc)
cublasCheckStatus(status)
_libcublas.cublasXtZgemm.restype = int
_libcublas.cublasXtZgemm.argtypes = [_types.handle,
ctypes.c_int,
ctypes.c_int,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_size_t,
ctypes.c_void_p,
ctypes.c_void_p,
ctypes.c_size_t]
def cublasXtZgemm(handle, transa, transb, m, n, k, alpha, A, lda, B, ldb,
beta, C, ldc):
status = _libcublas.cublasXtZgemm(handle,
_CUBLAS_OP[transa],
_CUBLAS_OP[transb], m, n, k,
ctypes.byref(cuda.cuDoubleComplex(alpha.real,
alpha.imag)),
int(A), lda, int(B), ldb,
ctypes.byref(cuda.cuDoubleComplex(beta.real,
beta.imag)),
int(C), ldc)
cublasCheckStatus(status)
|