Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
SetDiff1d
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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]
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
Public Methods
public
static
SetDiff1d<T, U>
create
(Scope scope, Operand<T> x, Operand<T> y, Class<U> outIdx)
Factory method to create a class wrapping a new SetDiff1d operation.
Parameters
scope |
current scope |
x |
1-D. Values to keep. |
y |
1-D. Values to remove. |
Returns
- a new instance of SetDiff1d
Factory method to create a class wrapping a new SetDiff1d operation using default output types.
Parameters
scope |
current scope |
x |
1-D. Values to keep. |
y |
1-D. Values to remove. |
Returns
- a new instance of SetDiff1d
public
Output<U>
idx
()
1-D. Positions of `x` values preserved in `out`.
public
Output<T>
out
()
1-D. Values present in `x` but not in `y`.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2022-02-12 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-02-12 UTC."],[],[],null,["# SetDiff1d\n\npublic final class **SetDiff1d** \nComputes the difference between two lists of numbers or strings.\n\n\nGiven a list \\`x\\` and a list \\`y\\`, this operation returns a list \\`out\\` that\nrepresents all values that are in \\`x\\` but not in \\`y\\`. The returned list \\`out\\`\nis sorted in the same order that the numbers appear in \\`x\\` (duplicates are\npreserved). This operation also returns a list \\`idx\\` that represents the\nposition of each \\`out\\` element in \\`x\\`. In other words:\n\n\n\\`out\\[i\\] = x\\[idx\\[i\\]\\] for i in \\[0, 1, ..., len(out) - 1\\]\\`\n\n\nFor example, given this input: \n\n x = [1, 2, 3, 4, 5, 6]\n y = [1, 3, 5]\n \nThis operation would return: \n\n out ==> [2, 4, 6]\n idx ==> [1, 3, 5]\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT, U extends Number\\\u003e [SetDiff1d](/api_docs/java/org/tensorflow/op/core/SetDiff1d)\\\u003cT, U\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/SetDiff1d#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cT\u003e,%20java.lang.Class\u003cU\u003e))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e x, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e y, Class\\\u003cU\\\u003e outIdx) Factory method to create a class wrapping a new SetDiff1d operation. |\n| static \\\u003cT\\\u003e [SetDiff1d](/api_docs/java/org/tensorflow/op/core/SetDiff1d)\\\u003cT, Integer\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/SetDiff1d#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cT\u003e))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e x, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e y) Factory method to create a class wrapping a new SetDiff1d operation using default output types. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [idx](/api_docs/java/org/tensorflow/op/core/SetDiff1d#idx())() 1-D. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [out](/api_docs/java/org/tensorflow/op/core/SetDiff1d#out())() 1-D. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.PrimitiveOp](/api_docs/java/org/tensorflow/op/PrimitiveOp) \n\n|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/api_docs/java/org/tensorflow/op/PrimitiveOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/api_docs/java/org/tensorflow/op/PrimitiveOp#hashCode())() |\n| [Operation](/api_docs/java/org/tensorflow/Operation) | [op](/api_docs/java/org/tensorflow/op/PrimitiveOp#op())() Returns the underlying [Operation](/api_docs/java/org/tensorflow/Operation) |\n| final String | [toString](/api_docs/java/org/tensorflow/op/PrimitiveOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nPublic Methods\n--------------\n\n#### public static [SetDiff1d](/api_docs/java/org/tensorflow/op/core/SetDiff1d)\\\u003cT, U\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e x, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e y, Class\\\u003cU\\\u003e outIdx)\n\nFactory method to create a class wrapping a new SetDiff1d operation. \n\n##### Parameters\n\n| scope | current scope |\n| x | 1-D. Values to keep. |\n| y | 1-D. Values to remove. |\n|-------|------------------------|\n\n##### Returns\n\n- a new instance of SetDiff1d \n\n#### public static [SetDiff1d](/api_docs/java/org/tensorflow/op/core/SetDiff1d)\\\u003cT, Integer\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e x, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e y)\n\nFactory method to create a class wrapping a new SetDiff1d operation using default output types. \n\n##### Parameters\n\n| scope | current scope |\n| x | 1-D. Values to keep. |\n| y | 1-D. Values to remove. |\n|-------|------------------------|\n\n##### Returns\n\n- a new instance of SetDiff1d \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**idx**\n()\n\n1-D. Positions of \\`x\\` values preserved in \\`out\\`. \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**out**\n()\n\n1-D. Values present in \\`x\\` but not in \\`y\\`."]]