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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed 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 "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Miscellaneous utilities that don't fit anywhere else."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
def alias_tensors(*args):
"""Wrap any Tensor arguments with an identity op.
Any other argument, including Variables, is returned unchanged.
Args:
*args: Any arguments. Must contain at least one element.
Returns:
Same as *args, with Tensor instances replaced as described.
Raises:
ValueError: If args doesn't meet the requirements.
"""
def alias_if_tensor(a):
return array_ops.identity(a) if isinstance(a, ops.Tensor) else a
# TODO(mdan): Recurse into containers?
# TODO(mdan): Anything we can do about variables? Fake a scope reuse?
if len(args) > 1:
return (alias_if_tensor(a) for a in args)
elif len(args) == 1:
return alias_if_tensor(args[0])
raise ValueError('at least one argument required')
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