tf.compat.v1.assert_rank
Assert x has rank equal to rank.
tf.compat.v1.assert_rank(
    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(x, 2)]): output = tf.reduce_sum(x)
| Args | |
|---|---|
 x  |   Numeric Tensor.  |  
 rank  |   Scalar integer Tensor.  |  
 data  |   The tensors to print out if the condition is False. Defaults to error message and the shape 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". | 
| Returns | |
|---|---|
 Op raising InvalidArgumentError unless x has specified rank. If static checks determine x has correct rank, a no_op is returned.  |  
| Raises | |
|---|---|
 ValueError  |   If static checks determine x has wrong rank.  |  
    © 2020 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/versions/r2.3/api_docs/python/tf/compat/v1/assert_rank