tf.compat.v1.assert_rank_at_least  |  TensorFlow v2.16.1 (original) (raw)

tf.compat.v1.assert_rank_at_least

Stay organized with collections Save and categorize content based on your preferences.

Assert x has rank equal to rank or higher.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

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.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.