tf.get_current_name_scope

Returns current full name scope specified by tf.name_scope(...)s.

tf.get_current_name_scope()

For example,

with tf.name_scope("outer"):
  tf.get_current_name_scope()  # "outer"

  with tf.name_scope("inner"):
    tf.get_current_name_scope()  # "outer/inner"

In other words, tf.get_current_name_scope() returns the op name prefix that will be prepended to, if an op is created at that place.

Note that @tf.function resets the name scope stack as shown below.

with tf.name_scope("outer"):

  @tf.function
  def foo(x):
    with tf.name_scope("inner"):
      return tf.add(x * x)  # Op name is "inner/Add", not "outer/inner/Add"