Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

NonDeterministicInts

public final class NonDeterministicInts

Non-deterministically generates some integers.

This op may use some OS-provided source of non-determinism (e.g. an RNG), so each execution will give different results.

Public Methods

Output <U>
asOutput ()
Returns the symbolic handle of a tensor.
static <U, T> NonDeterministicInts <U>
create ( Scope scope, Operand <T> shape, Class<U> dtype)
Factory method to create a class wrapping a new NonDeterministicInts operation.
static <T> NonDeterministicInts <Long>
create ( Scope scope, Operand <T> shape)
Factory method to create a class wrapping a new NonDeterministicInts operation using default output types.
Output <U>
output ()
Non-deterministic integer values with specified shape.

Inherited Methods

Public Methods

public Output <U> 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 NonDeterministicInts <U> create ( Scope scope, Operand <T> shape, Class<U> dtype)

Factory method to create a class wrapping a new NonDeterministicInts operation.

Parameters
scope current scope
shape The shape of the output tensor.
dtype The type of the output.
Returns
  • a new instance of NonDeterministicInts

public static NonDeterministicInts <Long> create ( Scope scope, Operand <T> shape)

Factory method to create a class wrapping a new NonDeterministicInts operation using default output types.

Parameters
scope current scope
shape The shape of the output tensor.
Returns
  • a new instance of NonDeterministicInts

public Output <U> output ()

Non-deterministic integer values with specified shape.