tf.compat.v1.assert_rank_in

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Assert x has rank in ranks.

tf.compat.v1.assert_rank_in(
    x, ranks, data=None, summarize=None, message=None, name=None
)

Example of adding a dependency to an operation:

with tf.control_dependencies([tf.compat.v1.assert_rank_in(x, (2, 4))]):
  output = tf.reduce_sum(x)

Args:

• x: Numeric Tensor.
• ranks: Iterable of scalar Tensor objects.
• data: The tensors to print out if the condition is False. Defaults to error message and first few entries of x.
• 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".

Returns:

Op raising InvalidArgumentError unless rank of x is in ranks. If static checks determine x has matching rank, a no_op is returned.

Raises:

• ValueError: If static checks determine x has mismatched rank.