def converter(blaze_dtype, blaze_argtype):
"""
Generate an element-wise conversion function that numba can jit-compile.
"""
dtype = to_numba(blaze_dtype.measure)
argtype = to_numba(blaze_argtype.measure)
@jit(dtype(argtype))
def convert(value):
return dtype(value)
return convert
def converter(blaze_type):
"""
Generate an element-wise conversion function that numba can jit-compile.
"""
T = to_numba(blaze_type)
def convert(value):
return T(value)
return convert
def construct_blaze_kernel(function, overload):
"""
Parameters
==========
function: blaze.function.BlazeFunc
overload: blaze.overloading.Overload
"""
func = overload.func
polysig = overload.sig
monosig = overload.resolved_sig
numba_impls = function.find_impls(func, polysig, 'numba')
llvm_impls = function.find_impls(func, polysig, 'llvm')
if numba_impls:
[impl] = numba_impls
argtypes = [to_numba(a.measure) for a in monosig.argtypes]
restype = to_numba(monosig.restype.measure)
return frompyfunc(impl, (argtypes, restype), monosig.argtypes)
elif llvm_impls:
[impl] = llvm_impls
return BlazeElementKernel(impl, monosig.argtypes)
else:
return None
def tree_arg(type):
kind = llvm_array.SCALAR
rank = 0
llvmtype = to_numba(type.measure).to_llvm()
tree = Argument(type, kind, rank, llvmtype)
return tree
