|TensorFlow 1 version||View source on GitHub|
x has a rank in
tf.debugging.assert_rank_in( x, ranks, message=None, name=None )
This Op checks that the rank of
x is in
x has a different rank,
message, as well as the shape of
InvalidArgumentError is raised.
message: A string to prefix to the default message.
name: A name for this operation (optional). Defaults to "assert_rank_in".
InvalidArgumentError unless rank of
x is in
If static checks determine
x has matching rank, a
no_op is returned.
This can be used with
tf.control_dependencies inside of
to block followup computation until the check has executed.
xdoes not have rank in
ranks, but the rank cannot be statically determined.
ValueError: If static checks determine
xhas mismatched rank.