TF 2.0 is out! Get hands-on practice at TF World, Oct 28-31. Use code TF20 for 20% off select passes. Register now

tf.compat.v1.assert_rank

View source on GitHub

Assert x has rank equal to rank.

Aliases:

tf.compat.v1.assert_rank(
    x,
    rank,
    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(x, 2)]):
  output = tf.reduce_sum(x)

Args:

  • x: Numeric Tensor.
  • rank: Scalar integer Tensor.
  • data: The tensors to print out if the condition is False. Defaults to error message and the shape 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".

Returns:

Op raising InvalidArgumentError unless x has specified rank. If static checks determine x has correct rank, a no_op is returned.

Raises:

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