58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# Copyright 2017 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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"""Symbol naming utilities."""
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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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from tensorflow.python.autograph.pyct import qual_names
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class Namer(object):
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"""Symbol name generator."""
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def __init__(self, global_namespace):
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self.global_namespace = global_namespace
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self.generated_names = set()
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def new_symbol(self, name_root, reserved_locals):
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"""See control_flow.SymbolNamer.new_symbol."""
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# reserved_locals may contain QNs.
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all_reserved_locals = set()
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for s in reserved_locals:
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if isinstance(s, qual_names.QN):
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all_reserved_locals.update(s.qn)
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elif isinstance(s, str):
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all_reserved_locals.add(s)
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else:
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raise ValueError('Unexpected symbol type "%s"' % type(s))
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pieces = name_root.split('_')
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if pieces[-1].isdigit():
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name_root = '_'.join(pieces[:-1])
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n = int(pieces[-1])
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else:
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n = 0
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new_name = name_root
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while (new_name in self.global_namespace or
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new_name in all_reserved_locals or new_name in self.generated_names):
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n += 1
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new_name = '%s_%d' % (name_root, n)
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self.generated_names.add(new_name)
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return new_name
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