Aliases:
tf.assert_rank_at_least
tf.debugging.assert_rank_at_least
tf.debugging.assert_rank_at_least(
x,
rank,
data=None,
summarize=None,
message=None,
name=None
)
Defined in tensorflow/python/ops/check_ops.py
.
Assert x
has rank equal to rank
or higher.
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.assert_rank_at_least(x, 2)]):
output = tf.reduce_sum(x)
Args:
x
: NumericTensor
.rank
: ScalarTensor
.data
: The tensors to print out if the condition is False. Defaults to error message and first few entries ofx
.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 determinex
has wrong rank.