Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
ExperimentalRandomDataset
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Creates a Dataset that returns pseudorandom numbers.
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
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
ExperimentalRandomDataset
create
(Scope scope, Operand<Long> seed, Operand<Long> seed2, List<Class<?>> outputTypes, List<Shape> outputShapes)
Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
Parameters
scope |
current scope |
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. |
Returns
- a new instance of ExperimentalRandomDataset
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Last updated 2022-02-12 UTC.
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