TensorFlow 1 version
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    View source on GitHub
  
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Assert that x has rank equal to rank.
tf.debugging.assert_rank(
    x, rank, message=None, name=None
)
This Op checks that the rank of x is equal to rank.
If x has a different rank, message, as well as the shape of x are
printed, and InvalidArgumentError is raised.
Args | |
|---|---|
x
 | 
Tensor.
 | 
rank
 | 
Scalar integer 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.
This can be used with tf.control_dependencies inside of tf.functions
to block followup computation until the check has executed.
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Raises | |
|---|---|
InvalidArgumentError
 | 
if the check can be performed immediately and
x does not have rank rank. The check can be performed immediately
during eager execution or if the shape of x is statically known.
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Eager Compatibility
returns None
  TensorFlow 1 version
    View source on GitHub