BatchDataset

public final class BatchDataset

Creates a dataset that batches `batch_size` elements from `input_dataset`.

Nested Classes

class BatchDataset.Options Optional attributes for BatchDataset  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TType>
asOutput()
Returns the symbolic handle of the tensor.
static BatchDataset
create(Scope scope, Operand<?> inputDataset, Operand<TInt64> batchSize, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)
Factory method to create a class wrapping a new BatchDataset operation.
Output<?>
handle()
static BatchDataset.Options
parallelCopy(Boolean parallelCopy)

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<TType>
asOutput()
Returns the symbolic handle of the tensor.
abstract TType
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<TType>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "BatchDatasetV2"

Public Methods

public Output<TType> 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 BatchDataset create (Scope scope, Operand<?> inputDataset, Operand<TInt64> batchSize, Operand<TBool> dropRemainder, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)

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

Parameters
scope current scope
batchSize A scalar representing the number of elements to accumulate in a batch.
dropRemainder A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
options carries optional attributes values
Returns
  • a new instance of BatchDataset

public Output<?> handle ()

public static BatchDataset.Options parallelCopy (Boolean parallelCopy)