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OptimizeDatasetV2

public final class OptimizeDatasetV2

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  

Public Methods

Output<Object>
asOutput()
Returns the symbolic handle of a tensor.
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.
Output<?>
handle()
static OptimizeDatasetV2.Options
optimizationConfigs(List<String> optimizationConfigs)

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
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

public Output<?> handle ()

public static OptimizeDatasetV2.Options optimizationConfigs (List<String> optimizationConfigs)