def impl_ldexp():
ldexp_cpu = gen_codegen('ldexp')
ldexp_gpu = gen_codegen('__nv_ldexp')
ldexpf_cpu = gen_codegen('ldexpf')
ldexpf_gpu = gen_codegen('__nv_ldexpf')
lower(math.ldexp, float64, int32)(dispatch_codegen(ldexp_cpu, ldexp_gpu))
lower(math.ldexp, float32, int32)(dispatch_codegen(ldexpf_cpu, ldexpf_gpu))
def impl_binary(fname, key, typ):
cpu = gen_codegen(fname)
gpu = gen_codegen(f"__nv_{fname}")
lower_builtin(key, typ, typ)(dispatch_codegen(cpu, gpu))
# logaddexp
ufunc_db._ufunc_db[np.logaddexp] = {
"ff->f": np_logaddexp_impl,
"dd->d": np_logaddexp_impl,
}
# logaddexp2
ufunc_db._ufunc_db[np.logaddexp2] = {
"ff->f": np_logaddexp2_impl,
"dd->d": np_logaddexp2_impl,
}
# nextafter
ufunc_db._ufunc_db[np.nextafter] = {
"ff->f":
dispatch_codegen(np_real_nextafter_impl, gen_codegen("__nv_nextafterf")),
"dd->d":
dispatch_codegen(np_real_nextafter_impl, gen_codegen("__nv_nextafter")),
}
# fabs
ufunc_db._ufunc_db[np.fabs].update({
"f->f":
dispatch_codegen(npyfuncs.np_real_fabs_impl, gen_codegen("__nv_fabsf")),
"d->d":
dispatch_codegen(npyfuncs.np_real_fabs_impl, gen_codegen("__nv_fabs")),
})
# arcsin
ufunc_db._ufunc_db[np.arcsin].update({
"f->f":
def impl_unary(fname, key, typ):
cpu = gen_codegen(fname)
gpu = gen_codegen(f"__nv_{fname}")
lower(key, typ)(dispatch_codegen(cpu, gpu))