Coverage for cuda/core/_kernel_arg_handler.pyx: 87.50%

1# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. (empty)

2# 

3# SPDX-License-Identifier: Apache-2.0 

4  

5from cpython.mem cimport PyMem_Malloc, PyMem_Free 

6from libc.stdint cimport (intptr_t, 

7 int8_t, int16_t, int32_t, int64_t, 

8 uint8_t, uint16_t, uint32_t, uint64_t,) 

9from libcpp cimport bool as cpp_bool 

10from libcpp.complex cimport complex as cpp_complex 

11from libcpp cimport nullptr 

12from libcpp cimport vector 

13  

14import ctypes (empty)

15from typing import Sequence, Any (empty)

16  

17import numpy (empty)

18  

19from cuda.core._memory import Buffer (empty)

20from cuda.core._memory._buffer cimport Buffer as cyBuffer, Buffer_check_open 

21from cuda.core._tensor_map import TensorMapDescriptor as _TensorMapDescriptor_py (empty)

22from cuda.core._tensor_map cimport TensorMapDescriptor 

23from cuda.core.graph._graph_definition cimport GraphCondition 

24from cuda.core._utils.cuda_utils import driver (empty)

25from cuda.bindings cimport cydriver 

26  

27  

28ctypedef cpp_complex.complex[float] cpp_single_complex 

29ctypedef cpp_complex.complex[double] cpp_double_complex 

30  

31  

32# We need an identifier for fp16 for copying scalars on the host. This is a minimal 

33# implementation borrowed from cuda_fp16.h. 

34cdef extern from *: 

35 """ 

36 #if __cplusplus >= 201103L 

37 #define __CUDA_ALIGN__(n) alignas(n) /* C++11 kindly gives us a keyword for this */ 

38 #else 

39 #if defined(__GNUC__) 

40 #define __CUDA_ALIGN__(n) __attribute__ ((aligned(n))) 

41 #elif defined(_MSC_VER) 

42 #define __CUDA_ALIGN__(n) __declspec(align(n)) 

43 #else 

44 #define __CUDA_ALIGN__(n) 

45 #endif /* defined(__GNUC__) */ 

46 #endif /* __cplusplus >= 201103L */ 

47  

48 typedef struct __CUDA_ALIGN__(2) { 

49 /** 

50 * Storage field contains bits representation of the \p half floating-point number. 

51 */ 

52 unsigned short x; 

53 } __half_raw; 

54 """ 

55 ctypedef struct __half_raw: 

56 unsigned short x 

57  

58  

59ctypedef fused supported_type: 

60 cpp_bool 

61 int8_t 

62 int16_t 

63 int32_t 

64 int64_t 

65 uint8_t 

66 uint16_t 

67 uint32_t 

68 uint64_t 

69 __half_raw 

70 float 

71 double 

72 intptr_t 

73 cpp_single_complex 

74 cpp_double_complex 

75  

76  

77# cache ctypes/numpy type objects to avoid attribute access 

78cdef object ctypes_bool = ctypes.c_bool (empty)

79cdef object ctypes_int8 = ctypes.c_int8 (empty)

80cdef object ctypes_int16 = ctypes.c_int16 (empty)

81cdef object ctypes_int32 = ctypes.c_int32 (empty)

82cdef object ctypes_int64 = ctypes.c_int64 (empty)

83cdef object ctypes_uint8 = ctypes.c_uint8 (empty)

84cdef object ctypes_uint16 = ctypes.c_uint16 (empty)

85cdef object ctypes_uint32 = ctypes.c_uint32 (empty)

86cdef object ctypes_uint64 = ctypes.c_uint64 (empty)

87cdef object ctypes_float = ctypes.c_float (empty)

88cdef object ctypes_double = ctypes.c_double (empty)

89cdef object numpy_bool = numpy.bool_ (empty)

90cdef object numpy_int8 = numpy.int8 (empty)

91cdef object numpy_int16 = numpy.int16 (empty)

92cdef object numpy_int32 = numpy.int32 (empty)

93cdef object numpy_int64 = numpy.int64 (empty)

94cdef object numpy_uint8 = numpy.uint8 (empty)

95cdef object numpy_uint16 = numpy.uint16 (empty)

96cdef object numpy_uint32 = numpy.uint32 (empty)

97cdef object numpy_uint64 = numpy.uint64 (empty)

98cdef object numpy_float16 = numpy.float16 (empty)

99cdef object numpy_float32 = numpy.float32 (empty)

100cdef object numpy_float64 = numpy.float64 (empty)

101cdef object numpy_complex64 = numpy.complex64 (empty)

102cdef object numpy_complex128 = numpy.complex128 (empty)

103  

104  

105cdef object tensor_map_descriptor_type = _TensorMapDescriptor_py (empty)

106  

107  

108# limitation due to cython/cython#534 

109ctypedef void* voidptr 

110  

111  

112# Cython can't infer the overload without at least one input argument with fused type 

113cdef inline int prepare_arg( (empty)

114 vector.vector[void*]& data, 

115 vector.vector[void*]& data_addresses, 

116 arg, # important: keep it a Python object and don't cast 

117 const size_t idx, 

118 const supported_type* __unused=NULL) except -1: 

119 cdef void* ptr = PyMem_Malloc(sizeof(supported_type)) 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

120 # note: this should also work once ctypes has complex support: 

121 # python/cpython#121248 

122 if supported_type is cpp_single_complex: 

123 (<supported_type*>ptr)[0] = cpp_complex.complex[float](arg.real, arg.imag) 1 ctx1#

124 elif supported_type is cpp_double_complex: 

125 (<supported_type*>ptr)[0] = cpp_complex.complex[double](arg.real, arg.imag) 3 ctx1b!]

126 elif supported_type is __half_raw: 

127 (<supported_type*>ptr).x = <int16_t>(arg.view(numpy_int16)) 1 ctx1(

128 else: 

129 (<supported_type*>ptr)[0] = <supported_type>(arg) 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

130 data_addresses[idx] = ptr # take the address to the scalar 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

131 data[idx] = ptr # for later dealloc 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

132 return 0 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

133  

134  

135cdef inline int prepare_tensor_map_arg( (empty)

136 vector.vector[void*]& data, 

137 vector.vector[void*]& data_addresses, 

138 TensorMapDescriptor arg, 

139 const size_t idx) except -1: 

140 # cuLaunchKernel copies argument bytes during launch, so a TensorMap 

141 # descriptor can point directly at its internal CUtensorMap storage. 

142 data_addresses[idx] = arg._get_data_ptr() 

143 return 0 

144  

145  

146cdef inline int prepare_ctypes_arg( (empty)

147 vector.vector[void*]& data, 

148 vector.vector[void*]& data_addresses, 

149 arg, 

150 const size_t idx) except -1: 

151 cdef object arg_type = type(arg) 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

152 if arg_type is ctypes_bool: 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

153 return prepare_arg[cpp_bool](data, data_addresses, arg.value, idx) 5 ctx1lmpq6

154 elif arg_type is ctypes_int8: 59 ctx17tuvwcdlmnoxyefpqrszABCDEghijakHbG5ST23014ZWXUVYRFIQPONMLKJ

155 return prepare_arg[int8_t](data, data_addresses, arg.value, idx) 1 ctx15

156 elif arg_type is ctypes_int16: 57 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGST23014ZWXUVYRFIQPONMLKJ

157 return prepare_arg[int16_t](data, data_addresses, arg.value, idx) 1 ctx14

158 elif arg_type is ctypes_int32: 56 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGST2301ZWXUVYRFIQPONMLKJ

159 return prepare_arg[int32_t](data, data_addresses, arg.value, idx) 3 ctx1723

160 elif arg_type is ctypes_int64: 54 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGST01ZWXUVYRFIQPONMLKJ

161 return prepare_arg[int64_t](data, data_addresses, arg.value, idx) 2 ctx101

162 elif arg_type is ctypes_uint8: 52 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGSTZWXUVYRFIQPONMLKJ

163 return prepare_arg[uint8_t](data, data_addresses, arg.value, idx) 1 ctx1Z

164 elif arg_type is ctypes_uint16: 52 ctx17tuvwcdlmnoxyefpqrszABCDEghijakHbGSTWXUVYRFIQPONMLKJ

165 return prepare_arg[uint16_t](data, data_addresses, arg.value, idx) 1 ctx1Y

166 elif arg_type is ctypes_uint32: 50 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGSTWXUVRFIQPONMLKJ

167 return prepare_arg[uint32_t](data, data_addresses, arg.value, idx) 2 ctx1WX

168 elif arg_type is ctypes_uint64: 48 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGSTUVRFIQPONMLKJ

169 return prepare_arg[uint64_t](data, data_addresses, arg.value, idx) 2 ctx1UV

170 elif arg_type is ctypes_float: 46 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGSTRFIQPONMLKJ

171 return prepare_arg[float](data, data_addresses, arg.value, idx) 1 ctx1T

172 elif arg_type is ctypes_double: 45 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGSRFIQPONMLKJ

173 return prepare_arg[double](data, data_addresses, arg.value, idx) 1 ctx1S

174 else: 

175 # If no exact types are found, fallback to slower `isinstance` check 

176 if isinstance(arg, ctypes_bool): 44 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGRFIQPONMLKJ

177 return prepare_arg[cpp_bool](data, data_addresses, arg.value, idx) 2 ctx1HR

178 elif isinstance(arg, ctypes_int8): 43 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFIQPONMLKJ

179 return prepare_arg[int8_t](data, data_addresses, arg.value, idx) 2 ctx17Q

180 elif isinstance(arg, ctypes_int16): 42 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFIPONMLKJ

181 return prepare_arg[int16_t](data, data_addresses, arg.value, idx) 1 ctx1P

182 elif isinstance(arg, ctypes_int32): 41 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFIONMLKJ

183 return prepare_arg[int32_t](data, data_addresses, arg.value, idx) 2 ctx1HO

184 elif isinstance(arg, ctypes_int64): 40 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFINMLKJ

185 return prepare_arg[int64_t](data, data_addresses, arg.value, idx) 2 ctx17N

186 elif isinstance(arg, ctypes_uint8): 39 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFIMLKJ

187 return prepare_arg[uint8_t](data, data_addresses, arg.value, idx) 1 ctx1M

188 elif isinstance(arg, ctypes_uint16): 38 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFILKJ

189 return prepare_arg[uint16_t](data, data_addresses, arg.value, idx) 1 ctx1L

190 elif isinstance(arg, ctypes_uint32): 37 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFIKJ

191 return prepare_arg[uint32_t](data, data_addresses, arg.value, idx) 1 ctx1K

192 elif isinstance(arg, ctypes_uint64): 36 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbGFIJ

193 return prepare_arg[uint64_t](data, data_addresses, arg.value, idx) 1 ctx1J

194 elif isinstance(arg, ctypes_float): 36 ctx17tuvwcdlmnoxyefpqrszABCDEghijakHbGFI

195 return prepare_arg[float](data, data_addresses, arg.value, idx) 2 ctx1HI

196 elif isinstance(arg, ctypes_double): 33 ctx1tuvwcdlmnoxyefpqrszABCDEghijakbGF

197 return prepare_arg[double](data, data_addresses, arg.value, idx) 1 ctx1F

198 else: 

199 return 1 32 ctx1tuvwcdlmnoxyefpqrszABCDEghijakbG

200  

201  

202cdef inline int prepare_numpy_arg( (empty)

203 vector.vector[void*]& data, 

204 vector.vector[void*]& data_addresses, 

205 arg, 

206 const size_t idx) except -1: 

207 cdef object arg_type = type(arg) 80 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

208 if arg_type is numpy_bool: 80 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

209 return prepare_arg[cpp_bool](data, data_addresses, arg, idx) 5 ctx1nors[

210 elif arg_type is numpy_int8: 79 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

211 return prepare_arg[int8_t](data, data_addresses, arg, idx) 1 ctx1@

212 elif arg_type is numpy_int16: 78 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG65ST23014ZWXUVY#!()'?=;:,+*RFIQPONMLKJ8$%

213 return prepare_arg[int16_t](data, data_addresses, arg, idx) 2 ctx17?

214 elif arg_type is numpy_int32: 77 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG65ST23014ZWXUVY#!()'=;:,+*RFIQPONMLKJ8$%

215 return prepare_arg[int32_t](data, data_addresses, arg, idx) 4 ctx1-./=

216 elif arg_type is numpy_int64: 73 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!()';:,+*RFIQPONMLKJ8$%

217 return prepare_arg[int64_t](data, data_addresses, arg, idx) 1 ctx1;

218 elif arg_type is numpy_uint8: 72 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!()':,+*RFIQPONMLKJ8$%

219 return prepare_arg[uint8_t](data, data_addresses, arg, idx) 2 ctx17:

220 elif arg_type is numpy_uint16: 71 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!()',+*RFIQPONMLKJ8$%

221 return prepare_arg[uint16_t](data, data_addresses, arg, idx) 1 ctx1,

222 elif arg_type is numpy_uint32: 70 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!()'+*RFIQPONMLKJ8$%

223 return prepare_arg[uint32_t](data, data_addresses, arg, idx) 2 ctx17+

224 elif arg_type is numpy_uint64: 69 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!()'*RFIQPONMLKJ8$%

225 return prepare_arg[uint64_t](data, data_addresses, arg, idx) 1 ctx1*

226 elif arg_type is numpy_float16: 68 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!()'RFIQPONMLKJ8$%

227 return prepare_arg[__half_raw](data, data_addresses, arg, idx) 1 ctx1(

228 elif arg_type is numpy_float32: 67 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!)'RFIQPONMLKJ8$%

229 return prepare_arg[float](data, data_addresses, arg, idx) 3 ctx1)$%

230 elif arg_type is numpy_float64: 64 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!'RFIQPONMLKJ8

231 return prepare_arg[double](data, data_addresses, arg, idx) 1 ctx1'

232 elif arg_type is numpy_complex64: 64 ctx17tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY#!RFIQPONMLKJ8

233 return prepare_arg[cpp_single_complex](data, data_addresses, arg, idx) 1 ctx1#

234 elif arg_type is numpy_complex128: 62 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVY!RFIQPONMLKJ8

235 return prepare_arg[cpp_double_complex](data, data_addresses, arg, idx) 1 ctx1!

236 else: 

237 # If no exact types are found, fallback to slower `isinstance` check 

238 if isinstance(arg, numpy_bool): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

239 return prepare_arg[cpp_bool](data, data_addresses, arg, idx) 

240 elif isinstance(arg, numpy_int8): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

241 return prepare_arg[int8_t](data, data_addresses, arg, idx) (empty)

242 elif isinstance(arg, numpy_int16): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

243 return prepare_arg[int16_t](data, data_addresses, arg, idx) 

244 elif isinstance(arg, numpy_int32): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

245 return prepare_arg[int32_t](data, data_addresses, arg, idx) 1 ctx19

246 elif isinstance(arg, numpy_int64): 62 ctx17tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

247 return prepare_arg[int64_t](data, data_addresses, arg, idx) 

248 elif isinstance(arg, numpy_uint8): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

249 return prepare_arg[uint8_t](data, data_addresses, arg, idx) 

250 elif isinstance(arg, numpy_uint16): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

251 return prepare_arg[uint16_t](data, data_addresses, arg, idx) (empty)

252 elif isinstance(arg, numpy_uint32): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

253 return prepare_arg[uint32_t](data, data_addresses, arg, idx) 

254 elif isinstance(arg, numpy_uint64): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

255 return prepare_arg[uint64_t](data, data_addresses, arg, idx) 

256 elif isinstance(arg, numpy_float16): 61 ctx1tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

257 return prepare_arg[__half_raw](data, data_addresses, arg, idx) 

258 elif isinstance(arg, numpy_float32): 62 ctx17tuvwcdlmnoxyefpqrszABCDEghijakH9bG65ST23014ZWXUVYRFIQPONMLKJ8

259 return prepare_arg[float](data, data_addresses, arg, idx) 2 ctx198

260 elif isinstance(arg, numpy_float64): 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

261 return prepare_arg[double](data, data_addresses, arg, idx) 

262 elif isinstance(arg, numpy_complex64): 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

263 return prepare_arg[cpp_single_complex](data, data_addresses, arg, idx) (empty)

264 elif isinstance(arg, numpy_complex128): 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

265 return prepare_arg[cpp_double_complex](data, data_addresses, arg, idx) 

266 else: 

267 return 1 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

268  

269  

270cdef class ParamHolder: 

271  

272 def __init__(self, kernel_args: Sequence[Any]) -> None: 

273 if len(kernel_args) == 0: 303 ctx2ibSbTbt u UbVbWbjbXbYbZb0bkb1b2b3blbv w c d l m n o x y e f p q r s z A B C D E g h i j 4b5b6b7b8b9b!b#b$b%b'b(b)b*b+b,b-b.b/b:b;b=b?b@b[b]bmbnb^b_b`b{b|bobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCb}bDbEbgb~ba FbGbHbacIbJbKbLbbcccdcecfcgck MbNbObPbhc- . / QbicH 9 b G jchb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ % kclcmcncocpcqcrcsctcucvcwcxcyczcAcBcCcDcEcFcGcHcIcJcKcLcMcNcOcPcQcRcScTcUcVcWcXcYcZc0c1c2c3c4c5c6c7c8c9c!c#c$c%c'c(c)c*c+c,c-c.c/c:c;c=c?c@c[c]c^c_c`c{c|c}c~cadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzdAdBdCdDdEdFdGdHdIdJdKd

274 self.ptr = 0 178 ctx2SbTbUbVbWbXbYbZb0b1b2b3bg h i j 4b5b6b7b8b9b!b#b$b%b'b(b)b*b+b,b-b.b/b:b;b=b?b@b[b]b^b_b`b{b|bfb}bgb~bacbcccdcecfcgck hcicjckclcmcncocpcqcrcsctcucvcwcxcyczcAcBcCcDcEcFcGcHcIcJcKcLcMcNcOcPcQcRcScTcUcVcWcXcYcZc0c1c2c3c4c5c6c7c8c9c!c#c$c%c'c(c)c*c+c,c-c.c/c:c;c=c?c@c[c]c^c_c`c{c|c}c~cadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzdAdBdCdDdEdFdGdHdIdJdKd

275 return 178 ctx2SbTbUbVbWbXbYbZb0b1b2b3bg h i j 4b5b6b7b8b9b!b#b$b%b'b(b)b*b+b,b-b.b/b:b;b=b?b@b[b]b^b_b`b{b|bfb}bgb~bacbcccdcecfcgck hcicjckclcmcncocpcqcrcsctcucvcwcxcyczcAcBcCcDcEcFcGcHcIcJcKcLcMcNcOcPcQcRcScTcUcVcWcXcYcZc0c1c2c3c4c5c6c7c8c9c!c#c$c%c'c(c)c*c+c,c-c.c/c:c;c=c?c@c[c]c^c_c`c{c|c}c~cadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzdAdBdCdDdEdFdGdHdIdJdKd

276  

277 cdef size_t n_args = len(kernel_args) 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

278 cdef size_t i 

279 cdef int not_prepared 

280 cdef object arg_type 

281 self.data = vector.vector[voidptr](n_args, nullptr) 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

282 self.data_addresses = vector.vector[voidptr](n_args) 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

283 for i, arg in enumerate(kernel_args): 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

284 arg_type = type(arg) 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

285 if arg_type is Buffer: 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

286 Buffer_check_open(<cyBuffer>arg) 37 ctx2mbnb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIb- . / Rb$ %

287 # we need the address of where the actual buffer address is stored 

288 if type(arg.handle) is int: 37 ctx2mbnb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIb- . / Rb$ %

289 # see note below on handling int arguments 

290 prepare_arg[intptr_t](self.data, self.data_addresses, arg.handle, i) 37 ctx2mbnb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIb- . / Rb$ %

291 continue 37 ctx2mbnb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIb- . / Rb$ %

292 else: 

293 # it's a CUdeviceptr: 

294 self.data_addresses[i] = <void*><intptr_t>(arg.handle.getPtr()) 

295 continue 

296 elif arg_type is bool: 112 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j obpbqbrbsbtb^ _ ` { | } ~ abbbcbdba JbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 $ %

297 prepare_arg[cpp_bool](self.data, self.data_addresses, arg, i) 6 ctx2c d e f k hb

298 continue 6 ctx2c d e f k hb

299 elif arg_type is int: 112 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j obpbqbrbsbtb^ _ ` { | } ~ abbbcbdba JbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 $ %

300 # Here's the dilemma: We want to have a fast path to pass in Python 

301 # integers as pointer addresses, but one could also (mistakenly) pass 

302 # it with the intention of passing a scalar integer. It's a mistake 

303 # bacause a Python int is ambiguous (arbitrary width). Our judgement 

304 # call here is to treat it as a pointer address, without any warning! 

305 prepare_arg[intptr_t](self.data, self.data_addresses, arg, i) 101 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j obpbqbrbsbtb^ _ ` { | } ~ abbbcbdbJbKbLbMbNbObPbQbhb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8

306 continue 101 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j obpbqbrbsbtb^ _ ` { | } ~ abbbcbdbJbKbLbMbNbObPbQbhb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8

307 elif arg_type is float: 82 ctx2t u v w c d l m n o x y e f p q r s z A B C D E g h i j a k - . / H 9 b G [ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 $ %

308 prepare_arg[double](self.data, self.data_addresses, arg, i) 1 ctx2eb

309 continue 1 ctx2eb

310 elif arg_type is complex: 81 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!]()'@?=;:,+*RFIQPONMLKJ8$%

311 prepare_arg[cpp_double_complex](self.data, self.data_addresses, arg, i) 2 ctx17]

312 continue 1 ctx1]

313 elif arg_type is tensor_map_descriptor_type: 80 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

314 prepare_tensor_map_arg(self.data, self.data_addresses, <TensorMapDescriptor>arg, i) 

315 continue 

316  

317 not_prepared = prepare_numpy_arg(self.data, self.data_addresses, arg, i) 80 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

318 if not_prepared: 80 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

319 not_prepared = prepare_ctypes_arg(self.data, self.data_addresses, arg, i) 59 ctx1tuvwcdlmnoxyefpqrszABCDEghijakHbG65ST23014ZWXUVYRFIQPONMLKJ

320 if not_prepared: 80 ctx1tuvwcdlmnoxyefpqrszABCDEghijak-./H9bG[65ST23014ZWXUVY#!()'@?=;:,+*RFIQPONMLKJ8$%

321 # TODO: revisit this treatment if we decide to cythonize cuda.core 

322 if arg_type is driver.CUgraphConditionalHandle: 32 ctx1tuvwcdlmnoxyefpqrszABCDEghijakbG

323 prepare_arg[cydriver.CUgraphConditionalHandle](self.data, self.data_addresses, <intptr_t>int(arg), i) 

324 continue 

325 elif arg_type is GraphCondition: 32 ctx1tuvwcdlmnoxyefpqrszABCDEghijakbG

326 prepare_arg[cydriver.CUgraphConditionalHandle]( 29 ctx1tuvwcdlmnoxyefpqrszABCDEghijk

327 self.data, self.data_addresses, 

328 <intptr_t><unsigned long long>(<GraphCondition>arg)._c_handle, i) 29 ctx1tuvwcdlmnoxyefpqrszABCDEghijk

329 continue 29 ctx1tuvwcdlmnoxyefpqrszABCDEghijk

330 # If no exact types are found, fallback to slower `isinstance` check 

331 elif isinstance(arg, Buffer): 3 ctx1abG

332 Buffer_check_open(<cyBuffer>arg) 

333 if isinstance(arg.handle, int): 

334 prepare_arg[intptr_t](self.data, self.data_addresses, arg.handle, i) 

335 continue 

336 else: 

337 self.data_addresses[i] = <void*><intptr_t>(arg.handle.getPtr()) 

338 continue (empty)

339 elif isinstance(arg, bool): 3 ctx1abG

340 prepare_arg[cpp_bool](self.data, self.data_addresses, arg, i) 

341 continue 

342 elif isinstance(arg, int): 3 ctx1abG

343 prepare_arg[intptr_t](self.data, self.data_addresses, arg, i) 1 ctx1b

344 continue 1 ctx1b

345 elif isinstance(arg, float): 3 ctx1abG

346 prepare_arg[double](self.data, self.data_addresses, arg, i) 1 ctx1b

347 continue 1 ctx1b

348 elif isinstance(arg, complex): 3 ctx1abG

349 prepare_arg[cpp_double_complex](self.data, self.data_addresses, arg, i) 1 ctx1b

350 continue 1 ctx1b

351 elif isinstance(arg, driver.CUgraphConditionalHandle): 3 ctx17aG

352 prepare_arg[cydriver.CUgraphConditionalHandle](self.data, self.data_addresses, arg, i) 

353 continue 

354 elif isinstance(arg, GraphCondition): 2 ctx1aG

355 prepare_arg[cydriver.CUgraphConditionalHandle]( 

356 self.data, self.data_addresses, 

357 <intptr_t><unsigned long long>(<GraphCondition>arg)._c_handle, i) 

358 continue (empty)

359 # TODO: support ctypes/numpy struct 

360 raise TypeError("the argument is of unsupported type: " + str(type(arg))) 2 ctx1aG

361  

362 self.kernel_args = kernel_args 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

363 self.ptr = <intptr_t>self.data_addresses.data() 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

364  

365 def __dealloc__(self) -> None: 

366 for data in self.data: 303 ctx2ibSbTbt u UbVbWbjbXbYbZb0bkb1b2b3blbv w c d l m n o x y e f p q r s z A B C D E g h i j 4b5b6b7b8b9b!b#b$b%b'b(b)b*b+b,b-b.b/b:b;b=b?b@b[b]bmbnb^b_b`b{b|bobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCb}bDbEbgb~ba FbGbHbacIbJbKbLbbcccdcecfcgck MbNbObPbhc- . / QbicH 9 b G jchb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ % kclcmcncocpcqcrcsctcucvcwcxcyczcAcBcCcDcEcFcGcHcIcJcKcLcMcNcOcPcQcRcScTcUcVcWcXcYcZc0c1c2c3c4c5c6c7c8c9c!c#c$c%c'c(c)c*c+c,c-c.c/c:c;c=c?c@c[c]c^c_c`c{c|c}c~cadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzdAdBdCdDdEdFdGdHdIdJdKd

367 if data: 132 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b G hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %

368 PyMem_Free(data) 131 ctx2ibt u jbkblbv w c d l m n o x y e f p q r s z A B C D E g h i j mbnbobpbqbrbsbtb^ _ ` { | } ~ abbbcbdbubvbwbfbxbybzbAbBbCbDbEbgba FbGbHbIbJbKbLbk MbNbObPb- . / QbH 9 b hb[ 6 5 S T 2 3 0 1 4 Z W X U V Y # ! ] ( ) ' eb@ ? = ; : , + * R F I Q P O N M L K J 8 Rb$ %