tensorflow::ops::SetDiff1D

#include <array_ops.h>

Computes the difference between two lists of numbers or strings.

Summary

Given a list x and a list y, this operation returns a list out that represents all values that are in x but not in y. The returned list out is sorted in the same order that the numbers appear in x (duplicates are preserved). This operation also returns a list idx that represents the position of each out element in x. In other words:

out[i] = x[idx[i]] for i in [0, 1, ..., len(out) - 1]

For example, given this input:

x = [1, 2, 3, 4, 5, 6]
y = [1, 3, 5]

This operation would return:

out ==> [2, 4, 6]
idx ==> [1, 3, 5]

Arguments:

  • scope: A Scope object
  • x: 1-D. Values to keep.
  • y: 1-D. Values to remove.

Returns:

  • Output out: 1-D. Values present in x but not in y.
  • Output idx: 1-D. Positions of x values preserved in out.

Constructors and Destructors

SetDiff1D(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)
SetDiff1D(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, const SetDiff1D::Attrs & attrs)

Public attributes

idx
out

Public static functions

OutIdx(DataType x)

Structs

tensorflow::ops::SetDiff1D::Attrs

Optional attribute setters for SetDiff1D.

Public attributes

idx

::tensorflow::Output idx

out

::tensorflow::Output out

Public functions

SetDiff1D

 SetDiff1D(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

SetDiff1D

 SetDiff1D(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  const SetDiff1D::Attrs & attrs
)

Public static functions

OutIdx

Attrs OutIdx(
  DataType x
)