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 seed or seed2 are 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
RandomNormal (const :: tensorflow::Scope & scope, :: tensorflow::Input shape, DataType dtype)
RandomNormal (const :: tensorflow::Scope & scope, :: tensorflow::Input shape, DataType dtype, const RandomNormal::Attrs & attrs)

Public attributes
operation	Operation
output	:: tensorflow::Output

Public functions
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public static functions
Seed (int64 x)	Attrs
Seed2 (int64 x)	Attrs

Structs
tensorflow:: ops:: RandomNormal:: Attrs	Optional attribute setters for RandomNormal .

Public attributes

operation

Operation operation

output

::tensorflow::Output output

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 

Public static functions

Seed

Attrs Seed(
  int64 x
)

Seed2

Attrs Seed2(
  int64 x
)