public final class
OptimizeDataset
Creates a dataset by applying optimizations to `input_dataset`.
Creates a dataset by applying optimizations to `input_dataset`.
Nested Classes
| class | OptimizeDataset.Options | Optional attributes for OptimizeDataset
|
|
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 OptimizeDataset | |
| Output<?> |
handle()
|
| static OptimizeDataset.Options |
optimizationConfigs(List<String> optimizationConfigs)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"OptimizeDataset"
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 OptimizeDataset create (Scope scope, Operand<?> inputDataset, Operand<TString> optimizations, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)
Factory method to create a class wrapping a new OptimizeDataset operation.
Parameters
| scope | current scope |
|---|---|
| inputDataset | A variant tensor representing the input dataset. |
| optimizations | A tf.string vector tf.Tensor identifying optimizations to use. |
| options | carries optional attributes values |
Returns
- a new instance of OptimizeDataset