Bucketize

tensorflow C++ API

tensorflow::ops::Bucketize

Bucketizes 'input' based on 'boundaries'.

Summary

For example, if the inputs are boundaries = [0, 10, 100] input = [[-5, 10000] [150, 10] [5, 100]]

then the output will be output = [[0, 3] [3, 2] [1, 3]]

Arguments:

• scope: A Scope object
• input:Any shape of Tensor contains with int or float type.
• boundaries: A sorted list of floats gives the boundary of the buckets.

Returns:

• Output: Same shape with 'input', each value of input replaced with bucket index.

Constructor

• Bucketize(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input boundaries).

Public attributes

• tensorflow::Output output.

Bucketize 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 input:connect Input node.
• Input boundaries:connect Input node.

Return:

• Output output : Output object of Bucketize class object.

Result:

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

Using Method