V
- data type for output()
output@Operator(group="random") public final class StatelessRandomNormal<V extends Number> extends PrimitiveOp implements Operand<V>
The generated values will have mean 0 and standard deviation 1.
The outputs are a deterministic function of `shape` and `seed`.
operation
Modifier and Type | Method and Description |
---|---|
Output<V> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number,U extends Number> |
create(Scope scope,
Operand<T> shape,
Operand<U> seed)
Factory method to create a class wrapping a new StatelessRandomNormal operation using default output types.
|
static <V extends Number,T extends Number,U extends Number> |
create(Scope scope,
Operand<T> shape,
Operand<U> seed,
Class<V> dtype)
Factory method to create a class wrapping a new StatelessRandomNormal operation.
|
Output<V> |
output()
Random values with specified shape.
|
equals, hashCode, op, toString
public static <V extends Number,T extends Number,U extends Number> StatelessRandomNormal<V> create(Scope scope, Operand<T> shape, Operand<U> seed, Class<V> dtype)
scope
- current scopeshape
- The shape of the output tensor.seed
- 2 seeds (shape [2]).dtype
- The type of the output.public static <T extends Number,U extends Number> StatelessRandomNormal<Float> create(Scope scope, Operand<T> shape, Operand<U> seed)
scope
- current scopeshape
- The shape of the output tensor.seed
- 2 seeds (shape [2]).public Output<V> 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<V extends Number>
OperationBuilder.addInput(Output)
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