tf.compat.v1.assert_rank_at

Assert x has rank equal to rank or higher.

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Compat aliases for migration

tf.compat.v1.debugging.assert_rank_at_least

tf.compat.v1.assert_rank_at_least(
    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_at_least(x, 2)]):
  output = tf.reduce_sum(x)

Args
`x`	Numeric `Tensor`.
`rank`	Scalar `Tensor`.
`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_at_least".

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

Raises
`ValueError`	If static checks determine `x` has wrong rank.

TensorFlow

tf.compat / v1 / v1.assert_rank_at_least

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tf.compat / v1 / v1.assert_rank_at_least

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