U
- data type for output()
output@Operator(group="random") public final class RandomStandardNormal<U extends Number> extends PrimitiveOp implements Operand<U>
The generated values will have mean 0 and standard deviation 1.
Modifier and Type | Class and Description |
---|---|
static class |
RandomStandardNormal.Options
Optional attributes for
RandomStandardNormal |
operation
Modifier and Type | Method and Description |
---|---|
Output<U> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <U extends Number,T extends Number> |
create(Scope scope,
Operand<T> shape,
Class<U> dtype,
RandomStandardNormal.Options... options)
Factory method to create a class wrapping a new RandomStandardNormal operation.
|
Output<U> |
output()
A tensor of the specified shape filled with random normal values.
|
static RandomStandardNormal.Options |
seed(Long seed) |
static RandomStandardNormal.Options |
seed2(Long seed2) |
equals, hashCode, op, toString
public static <U extends Number,T extends Number> RandomStandardNormal<U> create(Scope scope, Operand<T> shape, Class<U> dtype, RandomStandardNormal.Options... options)
scope
- current scopeshape
- The shape of the output tensor.dtype
- The type of the output.options
- carries optional attributes valuespublic static RandomStandardNormal.Options seed(Long seed)
seed
- If either `seed` or `seed2` are set to be non-zero, the random number
generator is seeded by the given seed. Otherwise, it is seeded by a
random seed.public static RandomStandardNormal.Options seed2(Long seed2)
seed2
- A second seed to avoid seed collision.public Output<U> 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<U extends Number>
OperationBuilder.addInput(Output)
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