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  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TNumber> CumulativeLogsumexp<T>
create(Scope scope, Operand<T> x, Operand<? extends TNumber> 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

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
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()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "CumulativeLogsumexp"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the 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<? extends TNumber> 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).