Outputs random values from a normal distribution.
The generated values will have mean 0 and standard deviation 1.
Nested Classes
class | RandomStandardNormal.Options | Optional attributes for RandomStandardNormal
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
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static <U extends TNumber> RandomStandardNormal<U> |
create(Scope scope, Operand<? extends TNumber> shape, Class<U> dtype, Options... options)
Factory method to create a class wrapping a new RandomStandardNormal operation.
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Output<U> |
output()
A tensor of the specified shape filled with random normal values.
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static RandomStandardNormal.Options |
seed(Long seed)
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static RandomStandardNormal.Options |
seed2(Long seed2)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<U> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static RandomStandardNormal<U> create (Scope scope, Operand<? extends TNumber> shape, Class<U> dtype, Options... options)
Factory method to create a class wrapping a new RandomStandardNormal operation.
Parameters
scope | current scope |
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shape | The shape of the output tensor. |
dtype | The type of the output. |
options | carries optional attributes values |
Returns
- a new instance of RandomStandardNormal
public static RandomStandardNormal.Options seed (Long seed)
Parameters
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. |
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public static RandomStandardNormal.Options seed2 (Long seed2)
Parameters
seed2 | A second seed to avoid seed collision. |
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