在为 tensorflow 变量选择名称时,可以这样做:
>> tf.Variable(2, name='a')
<tf.Variable 'finegrained_1/decoder/unreadable/a:0' shape=() dtype=int32_ref>
然而,这不是:
>> tf.Variable(2, name='a:b')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~/mm/appy-finegrained/sign_classification/model_finegrained.py in <module>()
----> 1 tf.Variable(2, name='a:b')
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py in __init__(self, initial_value, trainable, collections, validate_shape, caching_device, name, variable_def, dtype, expected_shape, import_scope, constraint)
211 dtype=dtype,
212 expected_shape=expected_shape,
--> 213 constraint=constraint)
214
215 def __repr__(self):
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py in _init_from_args(self, initial_value, trainable, collections, validate_shape, caching_device, name, dtype, expected_shape, constraint)
287 with ops.control_dependencies(None):
288 with ops.name_scope(name, "Variable", [] if init_from_fn else
--> 289 [initial_value]) as name:
290
291 if init_from_fn:
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in __enter__(self)
4930 self._g_manager.__enter__()
4931 self._name_scope = g.name_scope(self._name)
-> 4932 return self._name_scope.__enter__()
4933
4934 def __exit__(self, type_arg, value_arg, traceback_arg):
~/anaconda3/lib/python3.6/contextlib.py in __enter__(self)
79 def __enter__(self):
80 try:
---> 81 return next(self.gen)
82 except StopIteration:
83 raise RuntimeError("generator didn't yield") from None
~/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in name_scope(self, name)
3512 # (viz. '-', '\', '/', and '_').
3513 if not _VALID_SCOPE_NAME_REGEX.match(name):
-> 3514 raise ValueError("'%s' is not a valid scope name" % name)
3515 else:
3516 # Scopes created in the root must match the more restrictive
ValueError: 'a:b' is not a valid scope name
允许将 /
放在名称中,但它可能会破坏一些作用域:
>> tf.Variable(2, name='a/b')
<tf.Variable 'finegrained_1/decoder/unreadable/a/b:0' shape=() dtype=int32_ref>
对于变量名称中允许使用的字符集是否有任何定义的规则?
并且(关于 a/b
名称)对于不应使用的内容是否有任何额外的指导方针?
最佳答案
关于 ops 命名,参见 tf.Operation
文档:
NOTE: This constructor validates the name of the
Operation
(passed asnode_def.name
). ValidOperation
names match the following regular expression:[A-Za-z0-9.][A-Za-z0-9_.\\-/]*
每个变量被翻译成一些操作,并且它的名字被放入作用域,命名规则非常相似(参见python/framework/ops.py
):
_VALID_OP_NAME_REGEX = re.compile("^[A-Za-z0-9.][A-Za-z0-9_.\\-/]*$")
_VALID_SCOPE_NAME_REGEX = re.compile("^[A-Za-z0-9_.\\-/]*$")
当然,名称中不允许使用 '/'
和 ':'
,因为它们用于内部 tensorflow 目的:
'/'
是嵌套范围的分隔符(正则表达式允许,但这意味着在单个声明中使用多个范围);':'
是张量名称和输出索引的分隔符(详见 this question)。
关于python - tensorflow 变量名称中允许使用哪些字符?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/49237889/