tf.raw_ops.SparseMatrixAdd
    
    
      
    
    
      
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Sparse addition of two CSR matrices, C = alpha * A + beta * B.
tf.raw_ops.SparseMatrixAdd(
    a, b, alpha, beta, name=None
)
The gradients of SparseMatrixAdd outputs with respect to alpha and beta are not
currently defined (TensorFlow will return zeros for these entries).
| Args | 
|---|
| a | A Tensorof typevariant. A CSRSparseMatrix. | 
| b | A Tensorof typevariant. A CSRSparseMatrix. | 
| alpha | A Tensor. Must be one of the following types:float32,float64,complex64,complex128.
A constant scalar. | 
| beta | A Tensor. Must have the same type asalpha. A constant scalar. | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| A Tensorof typevariant. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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 2023-03-27 UTC.
  
  
  
    
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