58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
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# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Utility to retrieve function args."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import functools
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from tensorflow.python.util import tf_decorator
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from tensorflow.python.util import tf_inspect
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def _is_bounded_method(fn):
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_, fn = tf_decorator.unwrap(fn)
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return tf_inspect.ismethod(fn) and (fn.__self__ is not None)
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def _is_callable_object(obj):
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return hasattr(obj, '__call__') and tf_inspect.ismethod(obj.__call__)
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def fn_args(fn):
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"""Get argument names for function-like object.
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Args:
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fn: Function, or function-like object (e.g., result of `functools.partial`).
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Returns:
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`tuple` of string argument names.
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Raises:
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ValueError: if partial function has positionally bound arguments
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"""
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if isinstance(fn, functools.partial):
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args = fn_args(fn.func)
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args = [a for a in args[len(fn.args):] if a not in (fn.keywords or [])]
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else:
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if _is_callable_object(fn):
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fn = fn.__call__
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args = tf_inspect.getfullargspec(fn).args
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if _is_bounded_method(fn):
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args.remove('self')
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return tuple(args)
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