# Copyright 2022 ByteDance Ltd. and/or its affiliates.
#
# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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import sys
from . import _ffi_api
[docs]def make_native_function(func_name: str):
ud_ref = _ffi_api.Func_Get(func_name.encode("utf-8"))
def native_func_wrapper(*args):
return _ffi_api.Func_Call(ud_ref, *args)
return native_func_wrapper
class NativeFunction:
__MATX_NATIVE_FUNCTION__ = True
def __init__(self, func_name):
self.ud_ref = _ffi_api.Func_Get(func_name.encode("utf-8"))
def __call__(self, *args):
return _ffi_api.Func_Call(self.ud_ref, *args)
def load_native_function(module):
names = _ffi_api.Func_ListNames()
for name in names:
res = getattr(module, name, None)
if res:
if isinstance(res, NativeFunction):
continue
else:
raise RuntimeError("{} is aleady registered in matx.native module".format(name))
setattr(module, name, NativeFunction(name))