Creates a dataset by applying related optimizations to `input_dataset`.
Creates a dataset by applying related optimizations to `input_dataset`.
Nested Classes
class | OptimizeDatasetV2.Options | Optional attributes for OptimizeDatasetV2
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Public Methods
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
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static OptimizeDatasetV2 |
create(Scope scope, Operand<?> inputDataset, Operand<String> optimizationsEnabled, Operand<String> optimizationsDisabled, Operand<String> optimizationsDefault, List<Class<?>> outputTypes, List<Shape> outputShapes, Options... options)
Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
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Output<?> |
handle()
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static OptimizeDatasetV2.Options |
optimizationConfigs(List<String> optimizationConfigs)
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Inherited Methods
Public Methods
public Output<Object> asOutput ()
Returns the symbolic handle of a 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 OptimizeDatasetV2 create (Scope scope, Operand<?> inputDataset, Operand<String> optimizationsEnabled, Operand<String> optimizationsDisabled, Operand<String> optimizationsDefault, List<Class<?>> outputTypes, List<Shape> outputShapes, Options... options)
Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
Parameters
scope | current scope |
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inputDataset | A variant tensor representing the input dataset. |
optimizationsEnabled | A tf.string vector tf.Tensor identifying user enabled optimizations. |
optimizationsDisabled | A tf.string vector tf.Tensor identifying user disabled optimizations. |
optimizationsDefault | A tf.string vector tf.Tensor identifying optimizations by default. |
options | carries optional attributes values |
Returns
- a new instance of OptimizeDatasetV2