Betainc

tensorflow C++ API

tensorflow::ops::Bincount

Counts the number of occurrences of each value in an integer array.

Summary

Outputs a vector with lengthsizeand the same dtype asweights. Ifweightsare empty, then indexistores the number of times the valueiis counted inarr. Ifweightsare non-empty, then indexistores the sum of the value inweightsat each index where the corresponding value inarrisi.

Values inarroutside of the range [0, size) are ignored.

Arguments:

• scope: A Scope object
• arr: int32Tensor.
• size: non-negative int32 scalarTensor.
• weights: is an int32, int64, float32, or float64Tensorwith the same shape asarr, or a length-0Tensor, in which case it acts as all weights equal to 1.

Returns:

• Output: 1DTensorwith length equal tosize. The counts or summed weights for each value in the range [0, size).

Constructor

• Bincount(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, ::tensorflow::Input x).

Public attributes

• tensorflow::Output z.

Bincount 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 arr :connect Input node.
• Input size :connect Input node.
• Input weights :connect Input node.

Return:

• Output z : Output object of Bincount class object.

Result:

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

Using Method