| Modifier and Type | Class and Description |
|---|---|
static class |
BatchDataset.Options
Optional attributes for
BatchDataset |
operation| Modifier and Type | Method and Description |
|---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static BatchDataset |
create(Scope scope,
Operand<?> inputDataset,
Operand<Long> batchSize,
Operand<Boolean> dropRemainder,
List<Class<?>> outputTypes,
List<Shape> outputShapes,
BatchDataset.Options... options)
Factory method to create a class wrapping a new BatchDataset operation.
|
Output<?> |
handle() |
static BatchDataset.Options |
parallelCopy(Boolean parallelCopy) |
equals, hashCode, op, toStringpublic static BatchDataset create(Scope scope, Operand<?> inputDataset, Operand<Long> batchSize, Operand<Boolean> dropRemainder, List<Class<?>> outputTypes, List<Shape> outputShapes, BatchDataset.Options... options)
scope - current scopeinputDataset - 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.outputTypes - outputShapes - options - carries optional attributes valuespublic static BatchDataset.Options parallelCopy(Boolean parallelCopy)
parallelCopy - public Output<?> handle()
public Output<Object> asOutput()
OperandInputs 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.
asOutput in interface Operand<Object>OperationBuilder.addInput(Output)Copyright © 2022. All rights reserved.