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enuSpace-tensorflow Manual

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