tf.compat.v1.scalar_mul
    
    
      
    
    
      
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Multiplies a scalar times a Tensor or IndexedSlices object.
tf.compat.v1.scalar_mul(
    scalar, x, name=None
)
This is a special case of tf.math.multiply, where the first value must be a
scalar. Unlike the general form of tf.math.multiply, this is operation is
guaranteed to be efficient for tf.IndexedSlices.
x = tf.reshape(tf.range(30, dtype=tf.float32), [10, 3])
with tf.GradientTape() as g:
  g.watch(x)
  y = tf.gather(x, [1, 2])  # IndexedSlices
  z = tf.math.scalar_mul(10.0, y)
| Args | 
|---|
| scalar | A 0-D scalar Tensor. Must have known shape. | 
| x | A TensororIndexedSlicesto be scaled. | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| scalar * xof the same type (TensororIndexedSlices) asx. | 
| Raises | 
|---|
| ValueError | if scalar is not a 0-D scalar. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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 2023-10-06 UTC.
  
  
  
    
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