Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ExperimentalRandomDataset

public final class ExperimentalRandomDataset

Creates a Dataset that returns pseudorandom numbers.

Public Methods

Output <Object>
asOutput ()
Returns the symbolic handle of a tensor.
static ExperimentalRandomDataset
create ( Scope scope, Operand <Long> seed, Operand <Long> seed2, List<Class<?>> outputTypes, List< Shape > outputShapes)
Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
Output <?>

Inherited Methods

Public Methods

public Output <Object> asOutput ()

Returns the symbolic handle of a 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 ExperimentalRandomDataset create ( Scope scope, Operand <Long> seed, Operand <Long> seed2, List<Class<?>> outputTypes, List< Shape > outputShapes)

Factory method to create a class wrapping a new ExperimentalRandomDataset operation.

Parameters
scope current scope
seed A scalar seed for the random number generator. If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used.
seed2 A second scalar seed to avoid seed collision.
Returns
  • a new instance of ExperimentalRandomDataset

public Output <?> handle ()