tf.debugging.assert_rank_at_least

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Assert x has rank equal to rank or higher.

View aliases

Main aliases

`tf.assert_rank_at_least`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.assert_rank_at_least, tf.compat.v1.debugging.assert_rank_at_least

tf.debugging.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.