tf.sparse.maximum
    
    
      
    
    
      
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Returns the element-wise max of two SparseTensors.
tf.sparse.maximum(
    sp_a, sp_b, name=None
)
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Example:
sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7])
sp_one = sparse_tensor.SparseTensor([[1]], [1], [7])
res = tf.sparse.maximum(sp_zero, sp_one).eval()
# "res" should be equal to SparseTensor([[0], [1]], [0, 1], [7]).
| Args | 
|---|
| sp_a | a SparseTensoroperand whose dtype is real, and indices
lexicographically ordered. | 
| sp_b | the other SparseTensoroperand with the same requirements (and the
same shape). | 
| name | optional name of the operation. | 
| Returns | 
|---|
| output | the output SparseTensor. | 
  
  
 
  
    
    
      
       
    
    
  
  
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  Last updated 2020-10-01 UTC.
  
  
  
    
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