tfp.math.sparse_or_dense_matmul
    
    
      
    
    
      
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Returns (batched) matmul of a SparseTensor (or Tensor) with a Tensor.
tfp.math.sparse_or_dense_matmul(
    sparse_or_dense_a, dense_b, validate_args=False, name=None, **kwargs
)
| Args | 
|---|
| sparse_or_dense_a | SparseTensororTensorrepresenting a (batch of)
matrices. | 
| dense_b | Tensorrepresenting a (batch of) matrices, with the same batch
shape assparse_or_dense_a. The shape must be compatible with the shape
ofsparse_or_dense_aand kwargs. | 
| validate_args | When True, additional assertions might be embedded in the
graph.
Default value:False(i.e., no graph assertions are added). | 
| name | Python strprefixed to ops created by this function.
Default value: 'sparse_or_dense_matmul'. | 
| **kwargs | Keyword arguments to tf.sparse_tensor_dense_matmulortf.matmul. | 
| Returns | 
|---|
| product | A dense (batch of) matrix-shaped Tensor of the same batch shape and
dtype as sparse_or_dense_aanddense_b. Ifsparse_or_dense_aordense_bis adjointed throughkwargsthen the shape is adjusted
accordingly. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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.
  Last updated 2023-11-21 UTC.
  
  
  
    
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