ParallelBatchDataset

public final class ParallelBatchDataset

Nested Classes

class

ParallelBatchDataset.Options

Optional attributes for ParallelBatchDataset

Public Methods

Output <Object>	asOutput () Returns the symbolic handle of a tensor.
static ParallelBatchDataset	create ( Scope scope, Operand <?> inputDataset, Operand <Long> batchSize, Operand <Long> numParallelCalls, Operand <Boolean> dropRemainder, List<Class<?>> outputTypes, List< Shape > outputShapes, Options... options) Factory method to create a class wrapping a new ParallelBatchDataset operation.
static ParallelBatchDataset.Options	deterministic (String deterministic)
Output <?>	handle ()

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals (Object obj)
final int	hashCode ()
Operation	op () Returns the underlying Operation
final String	toString ()

From class java.lang.Object

boolean	equals (Object arg0)
final Class<?>	getClass ()
int	hashCode ()
final void	notify ()
final void	notifyAll ()
String	toString ()
final void	wait (long arg0, int arg1)
final void	wait (long arg0)
final void	wait ()

From interface org.tensorflow.Operand

abstract Output <Object>

asOutput () Returns the symbolic handle of a tensor.

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 ParallelBatchDataset create ( Scope scope, Operand <?> inputDataset, Operand <Long> batchSize, Operand <Long> numParallelCalls, Operand <Boolean> dropRemainder, List<Class<?>> outputTypes, List< Shape > outputShapes, Options... options)

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of ParallelBatchDataset

public static ParallelBatchDataset.Options deterministic (String deterministic)

public Output <?> handle ()