tf.assert_rank_at_least
tf.assert_rank_at_least
tf.assert_rank_at_least
assert_rank_at_least( x, rank, data=None, summarize=None, message=None, name=None )
Defined in tensorflow/python/ops/check_ops.py
.
See the guide: Asserts and boolean checks
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.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/assert_rank_at_least