3RNN/Lib/site-packages/tensorflow/python/autograph/pyct/naming.py
2024-05-26 19:49:15 +02:00

54 lines
1.8 KiB
Python

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