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