org.tensorflow.op.core

Class RandomUniformInt<U extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.RandomUniformInt<U>

Type Parameters:

U - data type for output() output

All Implemented Interfaces:

Op, Operand<U>

@Operator
public final class RandomUniformInt<U extends Number>
extends PrimitiveOp
implements Operand<U>

Outputs random integers from a uniform distribution.

The generated values are uniform integers in the range `[minval, maxval)`. The lower bound `minval` is included in the range, while the upper bound `maxval` is excluded.

The random integers are slightly biased unless `maxval - minval` is an exact power of two. The bias is small for values of `maxval - minval` significantly smaller than the range of the output (either `2^32` or `2^64`).

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

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

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <U extends Number,T extends Number> RandomUniformInt<U> create(Scope scope,
                                                                             Operand<T> shape,
                                                                             Operand<U> minval,
                                                                             Operand<U> maxval,
                                                                             RandomUniformInt.Options... options)

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

Parameters:

scope - current graph scope

shape - The shape of the output tensor.

minval - 0-D. Inclusive lower bound on the generated integers.

maxval - 0-D. Exclusive upper bound on the generated integers.

options - carries optional attributes values

Returns:

a new instance of RandomUniformInt

seed

public static RandomUniformInt.Options seed(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 RandomUniformInt.Options seed2(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 integers.

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 Number>

See Also:

OperationBuilder.addInput(Output)