Modifier and Type | Class and Description |
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static class |
RandomDataset.Inputs |
Modifier and Type | Field and Description |
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static String |
OP_NAME
The name of this op, as known by TensorFlow core engine
|
Constructor and Description |
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RandomDataset(Operation operation) |
Modifier and Type | Method and Description |
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Output<TType> |
asOutput()
Returns the symbolic handle of the tensor.
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static RandomDataset |
create(Scope scope,
Operand<TInt64> seed,
Operand<TInt64> seed2,
List<Class<? extends TType>> outputTypes,
List<org.tensorflow.ndarray.Shape> outputShapes)
Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
|
Output<? extends TType> |
handle()
Gets handle.
|
public static final String OP_NAME
public RandomDataset(Operation operation)
@Endpoint(describeByClass=true) public static RandomDataset create(Scope scope, Operand<TInt64> seed, Operand<TInt64> seed2, List<Class<? extends TType>> outputTypes, List<org.tensorflow.ndarray.Shape> outputShapes)
scope
- current scopeseed
- 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.outputTypes
- The value of the outputTypes attributeoutputShapes
- The value of the outputShapes attributepublic Output<TType> 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<TType>
OperationBuilder.addInput(Output)
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