Spaces:
Build error
Build error
File size: 9,166 Bytes
64772a4 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 |
from . import (
Nodes,
ExprNodes,
FusedNode,
TreeFragment,
Pipeline,
ParseTreeTransforms,
Naming,
UtilNodes,
)
from .Errors import error
from . import PyrexTypes
from .UtilityCode import CythonUtilityCode
from .Code import TempitaUtilityCode, UtilityCode
from .Visitor import PrintTree, TreeVisitor, VisitorTransform
numpy_int_types = [
"NPY_BYTE",
"NPY_INT8",
"NPY_SHORT",
"NPY_INT16",
"NPY_INT",
"NPY_INT32",
"NPY_LONG",
"NPY_LONGLONG",
"NPY_INT64",
]
numpy_uint_types = [tp.replace("NPY_", "NPY_U") for tp in numpy_int_types]
# note: half float type is deliberately omitted
numpy_numeric_types = (
numpy_int_types
+ numpy_uint_types
+ [
"NPY_FLOAT",
"NPY_FLOAT32",
"NPY_DOUBLE",
"NPY_FLOAT64",
"NPY_LONGDOUBLE",
]
)
def _get_type_constant(pos, type_):
if type_.is_complex:
# 'is' checks don't seem to work for complex types
if type_ == PyrexTypes.c_float_complex_type:
return "NPY_CFLOAT"
elif type_ == PyrexTypes.c_double_complex_type:
return "NPY_CDOUBLE"
elif type_ == PyrexTypes.c_longdouble_complex_type:
return "NPY_CLONGDOUBLE"
elif type_.is_numeric:
postfix = type_.empty_declaration_code().upper().replace(" ", "")
typename = "NPY_%s" % postfix
if typename in numpy_numeric_types:
return typename
elif type_.is_pyobject:
return "NPY_OBJECT"
# TODO possible NPY_BOOL to bint but it needs a cast?
# TODO NPY_DATETIME, NPY_TIMEDELTA, NPY_STRING, NPY_UNICODE and maybe NPY_VOID might be handleable
error(pos, "Type '%s' cannot be used as a ufunc argument" % type_)
class _FindCFuncDefNode(TreeVisitor):
"""
Finds the CFuncDefNode in the tree
The assumption is that there's only one CFuncDefNode
"""
found_node = None
def visit_Node(self, node):
if self.found_node:
return
else:
self.visitchildren(node)
def visit_CFuncDefNode(self, node):
self.found_node = node
def __call__(self, tree):
self.visit(tree)
return self.found_node
def get_cfunc_from_tree(tree):
return _FindCFuncDefNode()(tree)
class _ArgumentInfo(object):
"""
Everything related to defining an input/output argument for a ufunc
type - PyrexType
type_constant - str such as "NPY_INT8" representing numpy dtype constants
"""
def __init__(self, type, type_constant):
self.type = type
self.type_constant = type_constant
class UFuncConversion(object):
def __init__(self, node):
self.node = node
self.global_scope = node.local_scope.global_scope()
self.in_definitions = self.get_in_type_info()
self.out_definitions = self.get_out_type_info()
def get_in_type_info(self):
definitions = []
for n, arg in enumerate(self.node.args):
type_const = _get_type_constant(self.node.pos, arg.type)
definitions.append(_ArgumentInfo(arg.type, type_const))
return definitions
def get_out_type_info(self):
if self.node.return_type.is_ctuple:
components = self.node.return_type.components
else:
components = [self.node.return_type]
definitions = []
for n, type in enumerate(components):
definitions.append(
_ArgumentInfo(type, _get_type_constant(self.node.pos, type))
)
return definitions
def generate_cy_utility_code(self):
arg_types = [a.type for a in self.in_definitions]
out_types = [a.type for a in self.out_definitions]
inline_func_decl = self.node.entry.type.declaration_code(
self.node.entry.cname, pyrex=True
)
self.node.entry.used = True
ufunc_cname = self.global_scope.next_id(self.node.entry.name + "_ufunc_def")
will_be_called_without_gil = not (any(t.is_pyobject for t in arg_types) or
any(t.is_pyobject for t in out_types))
context = dict(
func_cname=ufunc_cname,
in_types=arg_types,
out_types=out_types,
inline_func_call=self.node.entry.cname,
inline_func_declaration=inline_func_decl,
nogil=self.node.entry.type.nogil,
will_be_called_without_gil=will_be_called_without_gil,
)
code = CythonUtilityCode.load(
"UFuncDefinition",
"UFuncs.pyx",
context=context,
outer_module_scope=self.global_scope,
)
tree = code.get_tree(entries_only=True)
return tree
def use_generic_utility_code(self):
# use the invariant C utility code
self.global_scope.use_utility_code(
UtilityCode.load_cached("UFuncsInit", "UFuncs_C.c")
)
self.global_scope.use_utility_code(
UtilityCode.load_cached("NumpyImportUFunc", "NumpyImportArray.c")
)
def convert_to_ufunc(node):
if isinstance(node, Nodes.CFuncDefNode):
if node.local_scope.parent_scope.is_c_class_scope:
error(node.pos, "Methods cannot currently be converted to a ufunc")
return node
converters = [UFuncConversion(node)]
original_node = node
elif isinstance(node, FusedNode.FusedCFuncDefNode) and isinstance(
node.node, Nodes.CFuncDefNode
):
if node.node.local_scope.parent_scope.is_c_class_scope:
error(node.pos, "Methods cannot currently be converted to a ufunc")
return node
converters = [UFuncConversion(n) for n in node.nodes]
original_node = node.node
else:
error(node.pos, "Only C functions can be converted to a ufunc")
return node
if not converters:
return # this path probably shouldn't happen
del converters[0].global_scope.entries[original_node.entry.name]
# the generic utility code is generic, so there's no reason to do it multiple times
converters[0].use_generic_utility_code()
return [node] + _generate_stats_from_converters(converters, original_node)
def generate_ufunc_initialization(converters, cfunc_nodes, original_node):
global_scope = converters[0].global_scope
ufunc_funcs_name = global_scope.next_id(Naming.pyrex_prefix + "funcs")
ufunc_types_name = global_scope.next_id(Naming.pyrex_prefix + "types")
ufunc_data_name = global_scope.next_id(Naming.pyrex_prefix + "data")
type_constants = []
narg_in = None
narg_out = None
for c in converters:
in_const = [d.type_constant for d in c.in_definitions]
if narg_in is not None:
assert narg_in == len(in_const)
else:
narg_in = len(in_const)
type_constants.extend(in_const)
out_const = [d.type_constant for d in c.out_definitions]
if narg_out is not None:
assert narg_out == len(out_const)
else:
narg_out = len(out_const)
type_constants.extend(out_const)
func_cnames = [cfnode.entry.cname for cfnode in cfunc_nodes]
context = dict(
ufunc_funcs_name=ufunc_funcs_name,
func_cnames=func_cnames,
ufunc_types_name=ufunc_types_name,
type_constants=type_constants,
ufunc_data_name=ufunc_data_name,
)
global_scope.use_utility_code(
TempitaUtilityCode.load("UFuncConsts", "UFuncs_C.c", context=context)
)
pos = original_node.pos
func_name = original_node.entry.name
docstr = original_node.doc
args_to_func = '%s(), %s, %s(), %s, %s, %s, PyUFunc_None, "%s", %s, 0' % (
ufunc_funcs_name,
ufunc_data_name,
ufunc_types_name,
len(func_cnames),
narg_in,
narg_out,
func_name,
docstr.as_c_string_literal() if docstr else "NULL",
)
call_node = ExprNodes.PythonCapiCallNode(
pos,
function_name="PyUFunc_FromFuncAndData",
# use a dummy type because it's honestly too fiddly
func_type=PyrexTypes.CFuncType(
PyrexTypes.py_object_type,
[PyrexTypes.CFuncTypeArg("dummy", PyrexTypes.c_void_ptr_type, None)],
),
args=[
ExprNodes.ConstNode(
pos, type=PyrexTypes.c_void_ptr_type, value=args_to_func
)
],
)
lhs_entry = global_scope.declare_var(func_name, PyrexTypes.py_object_type, pos)
assgn_node = Nodes.SingleAssignmentNode(
pos,
lhs=ExprNodes.NameNode(
pos, name=func_name, type=PyrexTypes.py_object_type, entry=lhs_entry
),
rhs=call_node,
)
return assgn_node
def _generate_stats_from_converters(converters, node):
stats = []
for converter in converters:
tree = converter.generate_cy_utility_code()
ufunc_node = get_cfunc_from_tree(tree)
# merge in any utility code
converter.global_scope.utility_code_list.extend(tree.scope.utility_code_list)
stats.append(ufunc_node)
stats.append(generate_ufunc_initialization(converters, stats, node))
return stats
|