#include <array_ops.h>
Computes the difference between two lists of numbers or strings.
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:
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. |
::tensorflow::Output idx
::tensorflow::Output out
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 )
Attrs OutIdx( DataType x )
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/set-diff1-d.html