Google I/O is a wrap! Catch up on TensorFlow sessions

# 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 () Returns the symbolic handle of a tensor. static CumulativeLogsumexp ( Scope scope, Operand x, Operand axis, Options... options) Factory method to create a class wrapping a new CumulativeLogsumexp operation. static CumulativeLogsumexp.Options (Boolean exclusive) Output () static CumulativeLogsumexp.Options (Boolean reverse)

## 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 A `Tensor`. Must be one of the following types: `float16`, `float32`, `float64`. A `Tensor` of type `int32` (default: 0). Must be in the range `[-rank(x), rank(x))`. 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 static CumulativeLogsumexp.Options reverse (Boolean reverse)

##### Parameters
 reverse A `bool` (default: False).
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