我的程序遭遇内存泄漏，我无法弄清楚原因。以下是mem_top在累积3 GB不必要内存后获得的一些内存统计信息：
refs:
28226 <class 'dict'> {1: <tensorflow.python.framework.ops.Operation object at 0x7fa4cc149550>, 2: <tensorflow.python.fram
14113 <class 'dict'> {'Const_4136': <tensorflow.python.framework.ops.Operation object at 0x7fa3ad179550>, 'rnn/map_1/whil
5575 <class 'list'> ['# module pyparsing.py\n', '#\n', '# Copyright (c) 2003-2015 Paul T. McGuire\n', '#\n', '# Permiss
4095 <class 'list'> ['# Copyright 2015 The TensorFlow Authors. All Rights Reserved.\n', '#\n', '# Licensed under the Apa
3592 <class 'set'> {<tensorflow.python.framework.ops.Operation object at 0x7fa448620048>, <tensorflow.python.framework.
2770 <class 'list'> ['# Copyright 2015 The TensorFlow Authors. All Rights Reserved.\n', '#\n', '# Licensed under the Apa
2468 <class 'list'> ['# Copyright 2015 The TensorFlow Authors. All Rights Reserved.\n', '#\n', '# Licensed under the Apa
2010 <class 'list'> ['# Copyright 2015 The TensorFlow Authors. All Rights Reserved.\n', '#\n', '# Licensed under the Apa
1912 <class 'list'> ['# Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n', '#\n', '# Licensed under the Apa
1882 <class 'dict'> {9914368: <weakref at 0x7fa585dc4548; to 'type' at 0x974800 (managedbuffer)>, 140348670317568: <weak
types:
246109 <class 'dict'>
207253 <class 'tuple'>
149516 <class 'list'>
69645 <class 'weakproxy'>
69050 <class 'google.protobuf.internal.python_message._Listener'>
32579 <class 'function'>
31374 <class 'tensorflow.core.framework.attr_value_pb2.AttrValue'>
25638 <class 'google.protobuf.internal.containers.RepeatedScalarFieldContainer'>
14230 <class 'tensorflow.python.framework.ops.Tensor'>
14183 <class 'google.protobuf.internal.message_listener.NullMessageListener'>
我能想到的唯一特殊事情是我在tf.Session.run的提取内部有三元运算符，如下所示：
run([my_op if not my_flag else tf.constant(0.0), ..], ..)
但它可能与此完全无关。似乎每个训练步骤增加了大约6个dict个实例。
知道可能导致这种情况的原因吗？