tf.assert_rank_in( x, ranks, data=None, summarize=None, message=None, name=None )
x has rank in
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.assert_rank_in(x, (2, 4))]): output = tf.reduce_sum(x)
ranks: Iterable of scalar
data: The tensors to print out if the condition is False. Defaults to error message and first few entries of
summarize: Print this many entries of each tensor.
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
ranks. If static checks determine
x has matching rank, a
no_op is returned.
ValueError: If static checks determine
xhas mismatched rank.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.