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ShuffleAndRepeatDataset

public final class ShuffleAndRepeatDataset

Nested Classes

class ShuffleAndRepeatDataset.Options Optional attributes for ShuffleAndRepeatDataset

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 ShuffleAndRepeatDataset
create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > bufferSize, Operand < TInt64 > seed, Operand < TInt64 > seed2, Operand < TInt64 > count, Operand <?> seedGenerator, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes, Options... options)
Factory method to create a class wrapping a new ShuffleAndRepeatDataset operation.
Output <?>
static ShuffleAndRepeatDataset.Options
reshuffleEachIteration (Boolean reshuffleEachIteration)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ShuffleAndRepeatDatasetV2"

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 ShuffleAndRepeatDataset create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > bufferSize, Operand < TInt64 > seed, Operand < TInt64 > seed2, Operand < TInt64 > count, Operand <?> seedGenerator, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes, Options... options)

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

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

public Output <?> handle ()

public static ShuffleAndRepeatDataset.Options reshuffleEachIteration (Boolean reshuffleEachIteration)