Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

IgnoreErrorsDataset

public final class IgnoreErrorsDataset

Creates a dataset that contains the elements of `input_dataset` ignoring errors.

Nested Classes

class IgnoreErrorsDataset.Options Optional attributes for IgnoreErrorsDataset

Public Methods

Output <Object>
asOutput ()
Returns the symbolic handle of a tensor.
static IgnoreErrorsDataset
create ( Scope scope, Operand <?> inputDataset, List<Class<?>> outputTypes, List< Shape > outputShapes, Options... options)
Factory method to create a class wrapping a new IgnoreErrorsDataset operation.
Output <?>
static IgnoreErrorsDataset.Options
logWarning (Boolean logWarning)

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 IgnoreErrorsDataset create ( Scope scope, Operand <?> inputDataset, List<Class<?>> outputTypes, List< Shape > outputShapes, Options... options)

Factory method to create a class wrapping a new IgnoreErrorsDataset operation.

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of IgnoreErrorsDataset

public Output <?> handle ()

public static IgnoreErrorsDataset.Options logWarning (Boolean logWarning)