tf.compat.v1.assert_rank
    
    
      
    
    
      
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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 InvalidArgumentErrorunlessxhas specified rank.
If static checks determinexhas correct rank, ano_opis returned. | 
| Raises | 
|---|
| ValueError | If static checks determine xhas wrong rank. | 
  
  
 
  
    
    
      
       
    
    
  
  
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  Last updated 2024-04-26 UTC.
  
  
  
    
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