Cumprod

tensorflow C++ API

tensorflow::ops::Cumprod

Compute the cumulative product of the tensorxalongaxis..

Summary

By default, this op performs an inclusive cumprod, which means that the first element of the input is identical to the first element of the output: ```prettyprint tf.cumprod([a, b, c]) ==> [a, a * b, a * b * c] ```

By setting theexclusivekwarg toTrue, an exclusive cumprod is performed instead: ```prettyprint tf.cumprod([a, b, c], exclusive=True) ==> [1, a, a * b] ```

By setting thereversekwarg toTrue, the cumprod is performed in the opposite direction: ```prettyprint tf.cumprod([a, b, c], reverse=True) ==> [a * b * c, b * c, c] ``This is more efficient than using separatetf.reverse` ops.

Thereverseandexclusivekwargs can also be combined: ```prettyprint tf.cumprod([a, b, c], exclusive=True, reverse=True) ==> [b * c, c, 1] ```

Arguments:

• scope: A Scope object

Returns:

• Output: The out tensor.

Constructor

• Cumprod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumprod::Attrs & attrs).

Public attributes

• tensorflow::Output out.

Cumprod block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_math.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.).
• Input x:connect Input node.
• Input axis:connect Input node. ex) 0 or 1.
• Cumprod ::Attrs attrs:Input attrs in value. ex) exclusive_ = false; reverse_ =false;

Return:

• Output out: Output object of Cumprod class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method