tf.get_current_name_scope

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

tf.get_current_name_scope() -> str

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"