#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 )
© 2018 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