def __init__(self,
arg_template,
precision=ML_Binary32,
abs_accuracy=S2**-24,
libm_compliant=True,
debug_flag=False,
fuse_fma=True,
fast_path_extract=True,
target=MPFRProcessor(),
output_file="ut_latency_evaluation.c",
function_name="ut_latency_evaluation"):
# precision argument extraction
precision = ArgDefault.select_value(
[arg_template.precision, precision])
io_precisions = [precision] * 2
# initializing base class
ML_FunctionBasis.__init__(
self,
base_name="ut_latency_evaluation",
function_name=function_name,
output_file=output_file,
io_precisions=io_precisions,
abs_accuracy=None,
libm_compliant=libm_compliant,
processor=target,
fuse_fma=fuse_fma,
fast_path_extract=fast_path_extract,
debug_flag=debug_flag,
arg_template=arg_template,
)
self.precision = precision
def __init__(self,
precision=ML_Binary32,
abs_accuracy=S2**-24,
libm_compliant=True,
debug_flag=False,
fuse_fma=True,
fast_path_extract=True,
target=MPFRProcessor(),
output_file="ut_payne_hanek.c",
function_name="ut_payne_hanek"):
io_precisions = [precision] * 2
# initializing base class
ML_FunctionBasis.__init__(self,
base_name="ut_payne_hanek",
function_name=function_name,
output_file=output_file,
io_precisions=io_precisions,
abs_accuracy=None,
libm_compliant=libm_compliant,
processor=target,
fuse_fma=fuse_fma,
fast_path_extract=fast_path_extract,
debug_flag=debug_flag)
self.precision = precision
def get_default_args(**kw):
""" Return a structure containing the arguments for ML_Exponential,
builtin from a default argument mapping overloaded with @p kw """
default_args = {
"output_file": "ut_implicit_interval_eval.c",
"function_name": "ut_implicit_interval_eval",
"precision": ML_Binary32,
"accuracy": ML_Faithful,
"target": MPFRProcessor()
}
default_args.update(kw)
return DefaultArgTemplate(**default_args)
def get_default_args(**kw):
""" Return a structure containing the arguments for current class,
builtin from a default argument mapping overloaded with @p kw """
default_args = {
"output_file": "ut_new_arg_template.c",
"function_name": "ut_new_arg_template",
"precision": ML_Binary32,
"accuracy": ML_Faithful,
"target": MPFRProcessor()
}
default_args.update(kw)
return DefaultArgTemplate(**default_args)
def get_default_args(**kw):
""" Return a structure containing the arguments for current class,
builtin from a default argument mapping overloaded with @p kw """
default_args = {
"output_file": "ut_loop_operation.c",
"function_name": "ut_loop_operation",
"precision": ML_Int32,
"target": MPFRProcessor(),
"fast_path_extract": True,
"fuse_fma": True,
"libm_compliant": True
}
default_args.update(kw)
return DefaultArgTemplate(**default_args)