def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This allows to resolve the return type.
"""
# Fold keyword arguments and resolve default values
def normal_handler(index, param, value):
return value
def default_handler(index, param, default):
return self.typeof_pyval(default)
def stararg_handler(index, param, values):
return types.Tuple(values)
args = fold_arguments(self._pysig, args, kws,
normal_handler,
default_handler,
stararg_handler)
kws = {}
# Ensure an overload is available, but avoid compiler re-entrance
if self._can_compile and not self.is_compiling:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, args, kws
def make_function_type(cffi_func):
cffi_type = ffi.typeof(cffi_func)
signature = map_type(cffi_type)
cases = [signature]
template = typing.make_concrete_template("CFFIFuncPtr", cffi_func, cases)
result = types.FunctionPointer(template, get_pointer(cffi_func))
return result
def make_function_type(cffi_func):
cffi_type = ffi.typeof(cffi_func)
signature = map_type(cffi_type)
cases = [signature]
template = typing.make_concrete_template("CFFIFuncPtr", cffi_func, cases)
result = types.FunctionPointer(template, get_pointer(cffi_func))
return result
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This allows to resolve the return type.
A (template, pysig, args, kws) tuple is returned.
"""
# XXX how about a dispatcher template class automating the
# following?
# Fold keyword arguments and resolve default values
pysig, args = self._compiler.fold_argument_types(args, kws)
kws = {}
# Ensure an overload is available
if self._can_compile:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, pysig, args, kws
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given *args*
and *kws*. This allows to resolve the return type.
"""
# Fold keyword arguments
if kws:
ba = self._pysig.bind(*args, **kws)
if ba.kwargs:
# There's a remaining keyword argument, e.g. if omitting
# some argument with a default value before it.
raise NotImplementedError("unhandled keyword argument: %s" %
list(ba.kwargs))
args = ba.args
kws = {}
# Ensure an overload is available, but avoid compiler re-entrance
if self._can_compile and not self.is_compiling:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, args, kws
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given *args*
and *kws*. This allows to resolve the return type.
"""
# Fold keyword arguments
if kws:
ba = self._pysig.bind(*args, **kws)
if ba.kwargs:
# There's a remaining keyword argument, e.g. if omitting
# some argument with a default value before it.
raise NotImplementedError("unhandled keyword argument: %s" % list(ba.kwargs))
args = ba.args
kws = {}
# Ensure an overload is available, but avoid compiler re-entrance
if self._can_compile and not self.is_compiling:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(name, key=func_name, signatures=self.nopython_signatures)
return call_template, args, kws
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This allows to resolve the return type.
"""
# Fold keyword arguments and resolve default values
def normal_handler(index, param, value):
return value
def default_handler(index, param, default):
return self.typeof_pyval(default)
def stararg_handler(index, param, values):
return types.Tuple(values)
args = fold_arguments(self._pysig, args, kws, normal_handler,
default_handler, stararg_handler)
kws = {}
# Ensure an overload is available, but avoid compiler re-entrance
if self._can_compile and not self.is_compiling:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, args, kws
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This allows to resolve the return type.
A (template, pysig, args, kws) tuple is returned.
"""
# XXX how about a dispatcher template class automating the
# following?
# Fold keyword arguments and resolve default values
pysig, args = self._compiler.fold_argument_types(args, kws)
kws = {}
# Ensure an overload is available
if self._can_compile:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, pysig, args, kws
def test_scalar(self):
flags = Flags()
# Compile the inner function
global cnd_jitted
cr1 = compile_isolated(cnd, (types.float64,))
cnd_jitted = cr1.entry_point
# Manually type the compiled function for calling into
tyctx = cr1.typing_context
ctx = cr1.target_context
signature = typing.make_concrete_template("cnd_jitted", cnd_jitted,
[cr1.signature])
tyctx.insert_user_function(cnd_jitted, signature)
# Compile the outer function
array = types.Array(types.float64, 1, 'C')
argtys = (array,) * 5 + (types.float64, types.float64)
cr2 = compile_extra(tyctx, ctx, blackscholes_scalar_jitted,
args=argtys, return_type=None, flags=flags,
locals={})
jitted_bs = cr2.entry_point
OPT_N = 400
iterations = 10
callResultGold = np.zeros(OPT_N)
putResultGold = np.zeros(OPT_N)
callResultNumba = np.zeros(OPT_N)
putResultNumba = np.zeros(OPT_N)
stockPrice = randfloat(self.random.random_sample(OPT_N), 5.0, 30.0)
optionStrike = randfloat(self.random.random_sample(OPT_N), 1.0, 100.0)
optionYears = randfloat(self.random.random_sample(OPT_N), 0.25, 10.0)
args = stockPrice, optionStrike, optionYears, RISKFREE, VOLATILITY
ts = timer()
for i in range(iterations):
blackscholes_scalar(callResultGold, putResultGold, *args)
te = timer()
pytime = te - ts
ts = timer()
for i in range(iterations):
jitted_bs(callResultNumba, putResultNumba, *args)
te = timer()
jittime = te - ts
print("Python", pytime)
print("Numba", jittime)
print("Speedup: %s" % (pytime / jittime))
delta = np.abs(callResultGold - callResultNumba)
L1norm = delta.sum() / np.abs(callResultGold).sum()
print("L1 norm: %E" % L1norm)
print("Max absolute error: %E" % delta.max())
self.assertAlmostEqual(delta.max(), 0)
def make_function_type(cfnptr):
cargs = [convert_ctypes(a)
for a in cfnptr.argtypes]
cret = convert_ctypes(cfnptr.restype)
cases = [typing.signature(cret, *cargs)]
template = typing.make_concrete_template("CFuncPtr", cfnptr, cases)
pointer = ctypes.cast(cfnptr, ctypes.c_void_p).value
return types.FunctionPointer(template, pointer)
def __init__(self, symbol, cstring):
"""Parse C function declaration/signature"""
self.symbol = symbol
parser = cffi.cparser.Parser()
rft = parser.parse_type(cstring) # "RawFunctionType"
self.restype = type_map[rft.result.build_backend_type(ffi, None)]
self.argtypes = [type_map[arg.build_backend_type(ffi, None)] for arg in rft.args]
signature = typing.signature(self.restype, *self.argtypes)
cases = [signature]
template = typing.make_concrete_template('ExternCFunction', self.symbol, cases)
super(ExternCFunction, self).__init__(template)
def __init__(self, symbol, cstring):
"""Parse C function declaration/signature"""
self.symbol = symbol
parser = cffi.cparser.Parser()
rft = parser.parse_type(cstring) # "RawFunctionType"
self.restype = type_map[rft.result.build_backend_type(ffi, None)]
self.argtypes = [
type_map[arg.build_backend_type(ffi, None)] for arg in rft.args
]
signature = typing.signature(self.restype, *self.argtypes)
cases = [signature]
template = typing.make_concrete_template('ExternCFunction',
self.symbol, cases)
super(ExternCFunction, self).__init__(template)
def test_scalar(self):
flags = Flags()
# Compile the inner function
global cnd_jitted
cr1 = compile_isolated(cnd, (types.float64, ))
cnd_jitted = cr1.entry_point
# Manually type the compiled function for calling into
tyctx = cr1.typing_context
ctx = cr1.target_context
signature = typing.make_concrete_template("cnd_jitted", cnd_jitted,
[cr1.signature])
tyctx.insert_user_function(cnd_jitted, signature)
# Compile the outer function
array = types.Array(types.float64, 1, 'C')
argtys = (array, ) * 5 + (types.float64, types.float64)
cr2 = compile_extra(tyctx,
ctx,
blackscholes_scalar_jitted,
args=argtys,
return_type=None,
flags=flags,
locals={})
jitted_bs = cr2.entry_point
OPT_N = 400
iterations = 10
callResultGold = np.zeros(OPT_N)
putResultGold = np.zeros(OPT_N)
callResultNumba = np.zeros(OPT_N)
putResultNumba = np.zeros(OPT_N)
stockPrice = randfloat(self.random.random_sample(OPT_N), 5.0, 30.0)
optionStrike = randfloat(self.random.random_sample(OPT_N), 1.0, 100.0)
optionYears = randfloat(self.random.random_sample(OPT_N), 0.25, 10.0)
args = stockPrice, optionStrike, optionYears, RISKFREE, VOLATILITY
blackscholes_scalar(callResultGold, putResultGold, *args)
jitted_bs(callResultNumba, putResultNumba, *args)
delta = np.abs(callResultGold - callResultNumba)
L1norm = delta.sum() / np.abs(callResultGold).sum()
print("L1 norm: %E" % L1norm)
print("Max absolute error: %E" % delta.max())
self.assertAlmostEqual(delta.max(), 0)
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given *args*
and *kws*. This allows to resolve the return type.
"""
if kws:
raise TypeError("kwargs not supported")
# Ensure an overload is available, but avoid compiler re-entrance
if self._can_compile and not self.is_compiling:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given *args*
and *kws*. This allows to resolve the return type.
"""
if kws:
raise TypeError("kwargs not supported")
# Ensure an overload is available, but avoid compiler re-entrance
if self._can_compile and not self.is_compiling:
self.compile(tuple(args))
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This enables the resolving of the return type.
A (template, pysig, args, kws) tuple is returned.
"""
# Ensure an overload is available
if self._can_compile:
self.compile(tuple(args))
pysig = None
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, pysig, args, kws
def add_overload(self, cres):
args = tuple(cres.signature.args)
sig = [a._code for a in args]
self._insert(sig, cres.entry_point, cres.objectmode, cres.interpmode)
self.overloads[args] = cres.entry_point
self._compileinfos[args] = cres
# Add native function for correct typing the code generation
target = cres.target_context
cfunc = cres.entry_point
if cfunc in target.native_funcs:
target.dynamic_map_function(cfunc)
# Create function type for typing
func_name = cres.fndesc.mangled_name
name = "CallTemplate(%s)" % cres.fndesc.mangled_name
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=[cres.signature])
self._function_types[args] = call_template
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This enables the resolving of the return type.
A (template, pysig, args, kws) tuple is returned.
"""
# Ensure an overload is available
if self._can_compile:
self.compile(tuple(args))
pysig = None
# Create function type for typing
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=self.nopython_signatures)
return call_template, pysig, args, kws
def add_overload(self, cres):
args = tuple(cres.signature.args)
sig = [a._code for a in args]
self._insert(sig, cres.entry_point, cres.objectmode)
self.overloads[args] = cres.entry_point
self._compileinfos[args] = cres
# Add native function for correct typing the code generation
target = cres.target_context
cfunc = cres.entry_point
if cfunc in target.native_funcs:
target.dynamic_map_function(cfunc)
# Create function type for typing
func_name = cres.fndesc.mangled_name
name = "CallTemplate(%s)" % cres.fndesc.mangled_name
# The `key` isn't really used except for diagnosis here,
# so avoid keeping a reference to `cfunc`.
call_template = typing.make_concrete_template(
name, key=func_name, signatures=[cres.signature])
self._function_types[args] = call_template
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This enables the resolving of the return type.
A (template, pysig, args, kws) tuple is returned.
"""
assert not kws
self._legalize_arg_types(args)
# Coerce to object mode
args = [types.ffi_forced_object] * len(args)
if self._can_compile:
self.compile(tuple(args))
signatures = [typing.signature(self.output_types, *args)]
pysig = None
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
call_template = typing.make_concrete_template(
name, key=func_name, signatures=signatures)
return call_template, pysig, args, kws
def get_call_template(self, args, kws):
"""
Get a typing.ConcreteTemplate for this dispatcher and the given
*args* and *kws* types. This enables the resolving of the return type.
A (template, pysig, args, kws) tuple is returned.
"""
assert not kws
self._legalize_arg_types(args)
# Coerce to object mode
args = [types.ffi_forced_object] * len(args)
if self._can_compile:
self.compile(tuple(args))
signatures = [typing.signature(self.output_types, *args)]
pysig = None
func_name = self.py_func.__name__
name = "CallTemplate({0})".format(func_name)
call_template = typing.make_concrete_template(
name, key=func_name, signatures=signatures)
return call_template, pysig, args, kws
