CumulativeLogsumexp

public final class CumulativeLogsumexp

Compute the cumulative product of the tensor `x` along `axis`.

By default, this op performs an inclusive cumulative log-sum-exp, which means that the first element of the input is identical to the first element of the output:

tf.math.cumulative_logsumexp([a, b, c])  # => [a, log(exp(a) + exp(b)), log(exp(a) + exp(b) + exp(c))]
 

By setting the `exclusive` kwarg to `True`, an exclusive cumulative log-sum-exp is performed instead:

tf.cumulative_logsumexp([a, b, c], exclusive=True)  # => [-inf, a, log(exp(a) * exp(b))]
 

Note that the neutral element of the log-sum-exp operation is `-inf`, however, for performance reasons, the minimal value representable by the floating point type is used instead.

By setting the `reverse` kwarg to `True`, the cumulative log-sum-exp is performed in the opposite direction.

Nested Classes

class

CumulativeLogsumexp.Options

Optional attributes for CumulativeLogsumexp

Public Methods

Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number, U extends Number> CumulativeLogsumexp<T>	create(Scope scope, Operand<T> x, Operand<U> axis, Options... options) Factory method to create a class wrapping a new CumulativeLogsumexp operation.
static CumulativeLogsumexp.Options	exclusive(Boolean exclusive)
Output<T>	out()
static CumulativeLogsumexp.Options	reverse(Boolean reverse)

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.Operand

abstract Output<T>

asOutput() Returns the symbolic handle of a tensor.

Public Methods

public Output<T> 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 CumulativeLogsumexp<T> create (Scope scope, Operand<T> x, Operand<U> axis, Options... options)

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

Parameters

scope	current scope
x	A `Tensor`. Must be one of the following types: `float16`, `float32`, `float64`.
axis	A `Tensor` of type `int32` (default: 0). Must be in the range `[-rank(x), rank(x))`.
options	carries optional attributes values

Returns

• a new instance of CumulativeLogsumexp

public static CumulativeLogsumexp.Options exclusive (Boolean exclusive)

Parameters

exclusive	If `True`, perform exclusive cumulative log-sum-exp.

public Output<T> out ()

public static CumulativeLogsumexp.Options reverse (Boolean reverse)

Parameters

reverse	A `bool` (default: False).