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 | |
Output<?> |
handle()
|
static BatchDataset.Options |
parallelCopy(Boolean parallelCopy)
|
Inherited Methods
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