tensorflow::
    
   ops::
    
   RandomNormal
  
  
   #include <random_ops.h>
  
  Outputs random values from a normal distribution.
Summary
The generated values will have mean 0 and standard deviation 1.
Args:
- scope: A Scope object
 - shape: The shape of the output tensor.
 - dtype: The type of the output.
 
   Optional attributes (see
   
    
     Attrs
    
   
   ):
   
- 
     seed: If either
     
seedorseed2are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. - seed2: A second seed to avoid seed collision.
 
Returns:
- 
     
Output: A tensor of the specified shape filled with random normal values. 
     Constructors and Destructors | 
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       RandomNormal
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      shape, DataType dtype)
     
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       RandomNormal
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      shape, DataType dtype, const
      
       RandomNormal::Attrs
      
      & attrs)
     
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     Public attributes | 
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       operation
      
     
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       output
      
     
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     Public functions | 
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       node
      
      () const
     
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       ::tensorflow::Node *
      
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       operator::tensorflow::Input
      
      () const
     
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       operator::tensorflow::Output
      
      () const
     
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     Public static functions | 
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       Seed
      
      (int64 x)
     
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       Seed2
      
      (int64 x)
     
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     Structs | 
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      tensorflow::
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      Optional attribute setters for RandomNormal .  | 
   
Public attributes
Public functions
RandomNormal
RandomNormal( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, DataType dtype )
RandomNormal
RandomNormal( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, DataType dtype, const RandomNormal::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const