operation
Modifier and Type | Method and Description |
---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static ShuffleAndRepeatDataset |
create(Scope scope,
Operand<?> inputDataset,
Operand<Long> bufferSize,
Operand<Long> seed,
Operand<Long> seed2,
Operand<Long> count,
List<Class<?>> outputTypes,
List<Shape> outputShapes)
Factory method to create a class wrapping a new ShuffleAndRepeatDataset operation.
|
Output<?> |
handle() |
equals, hashCode, op, toString
public static ShuffleAndRepeatDataset create(Scope scope, Operand<?> inputDataset, Operand<Long> bufferSize, Operand<Long> seed, Operand<Long> seed2, Operand<Long> count, List<Class<?>> outputTypes, List<Shape> outputShapes)
scope
- current scopeinputDataset
- bufferSize
- The number of output elements to buffer in an iterator over
this dataset. Compare with the `min_after_dequeue` attr when creating a
`RandomShuffleQueue`.seed
- A scalar seed for the random number generator. If either `seed` or
`seed2` is set to be non-zero, the random number generator is seeded
by the given seed. Otherwise, a random seed is used.seed2
- A second scalar seed to avoid seed collision.count
- A scalar representing the number of times the underlying dataset
should be repeated. The default is `-1`, which results in infinite repetition.outputTypes
- outputShapes
- public Output<?> handle()
public Output<Object> asOutput()
Operand
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.
asOutput
in interface Operand<Object>
OperationBuilder.addInput(Output)
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