Package org.tensorflow.op.random

Class RandomUniform<U extends java.lang.Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.random.RandomUniform<U>

Type Parameters:

U - data type for output() output

All Implemented Interfaces:

Op, Operand<U>

@Operator(group="random")
public final class RandomUniform<U extends java.lang.Number>
extends PrimitiveOp
implements Operand<U>

Outputs random values from a uniform distribution.

The generated values follow a uniform distribution in the range `[0, 1)`. The lower bound 0 is included in the range, while the upper bound 1 is excluded.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	RandomUniform.Options	Optional attributes for RandomUniform

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method	Description
Output<U>	asOutput()	Returns the symbolic handle of a tensor.
static <U extends java.lang.Number,T extends java.lang.Number> RandomUniform<U>	create(Scope scope, Operand<T> shape, java.lang.Class<U> dtype, RandomUniform.Options... options)	Factory method to create a class to wrap a new RandomUniform operation to the graph.
Output<U>	output()	A tensor of the specified shape filled with uniform random values.
static RandomUniform.Options	seed(java.lang.Long seed)
static RandomUniform.Options	seed2(java.lang.Long seed2)

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Method Detail

create

public static <U extends java.lang.Number,T extends java.lang.Number> RandomUniform<U> create(Scope scope,
                                                                                              Operand<T> shape,
                                                                                              java.lang.Class<U> dtype,
                                                                                              RandomUniform.Options... options)

Factory method to create a class to wrap a new RandomUniform operation to the graph.

Parameters:

scope - current graph scope

shape - The shape of the output tensor.

dtype - The type of the output.

options - carries optional attributes values

Returns:

a new instance of RandomUniform

seed

public static RandomUniform.Options seed(java.lang.Long seed)

Parameters:

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.

seed2

public static RandomUniform.Options seed2(java.lang.Long seed2)

Parameters:

seed2 - A second seed to avoid seed collision.

output

public Output<U> output()

A tensor of the specified shape filled with uniform random values.

asOutput

public Output<U> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<U extends java.lang.Number>

See Also:

OperationBuilder.addInput(Output)