tf.debugging.assert_rank_in

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Assert that x has a rank in ranks.

tf.debugging.assert_rank_in(
    x, ranks, message=None, name=None
)

This Op checks that the rank of x is in ranks.

If x has a different rank, message, as well as the shape of x are printed, and InvalidArgumentError is raised.

Args:

• x: Tensor.
• ranks: Iterable of scalar Tensor objects.
• message: A string to prefix to the default message.
• name: A name for this operation (optional). Defaults to "assert_rank_in".

Returns:

Op raising InvalidArgumentError unless rank of x is in ranks. If static checks determine x has matching rank, a no_op is returned. This can be used with tf.control_dependencies inside of tf.functions to block followup computation until the check has executed.

Raises:

• InvalidArgumentError: x does not have rank in ranks, but the rank cannot be statically determined.
• ValueError: If static checks determine x has mismatched rank.

Eager Compatibility

returns None