Eig
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Bir veya daha fazla kare matrisin öz ayrıştırmasını hesaplar.
'Giriş'teki her iç matrisin özdeğerlerini ve (isteğe bağlı olarak) sağ özvektörlerini, 'giriş[..., :, :] = v[..., :, :] * diag(e[...,) olacak şekilde hesaplar. :])`. Özdeğerler azalmayacak şekilde sıralanır.
# a is a tensor.
# e is a tensor of eigenvalues.
# v is a tensor of eigenvectors.
e, v = eig(a)
e = eig(a, compute_v=False)
Sabitler
| Sicim | OP_NAME | Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı |
Kalıtsal Yöntemler
Java.lang.Object sınıfından | boolean | eşittir (Nesne arg0) |
| son Sınıf<?> | getClass () |
| int | hashKodu () |
| son boşluk | bildir () |
| son boşluk | tümünü bildir () |
| Sicim | toString () |
| son boşluk | bekle (uzun arg0, int arg1) |
| son boşluk | bekle (uzun arg0) |
| son boşluk | Beklemek () |
Sabitler
genel statik son Dize OP_NAME
Bu operasyonun TensorFlow çekirdek motoru tarafından bilinen adı
Sabit Değer: "Eig"
Genel Yöntemler
genel statik Eig.Options hesaplamaV (Boolean hesaplamaV)
Parametreler
| hesaplamaV | Eğer 'Doğru' ise özvektörler hesaplanacak ve 'v' cinsinden döndürülecektir. Aksi halde sadece özdeğerler hesaplanacaktır. |
|---|
Yeni bir Eig işlemini saran bir sınıf oluşturmak için fabrika yöntemi.
Parametreler
| kapsam | mevcut kapsam |
|---|
| giriş | '[N, N]' şeklinin 'Tensör' girişi. |
|---|
| seçenekler | isteğe bağlı nitelik değerlerini taşır |
|---|
genel Çıkış <U> e ()
Özdeğerler. Şekil `[N]`dir.
genel Çıkış <U> v ()
Özvektörler. Şekil `[N, N]`dir.
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# Eig\n\npublic final class **Eig** \nComputes the eigen decomposition of one or more square matrices.\n\n\nComputes the eigenvalues and (optionally) right eigenvectors of each inner matrix in\n\\`input\\` such that \\`input\\[..., :, :\\] = v\\[..., :, :\\] \\* diag(e\\[..., :\\])\\`. The eigenvalues\nare sorted in non-decreasing order. \n\n # a is a tensor.\n # e is a tensor of eigenvalues.\n # v is a tensor of eigenvectors.\n e, v = eig(a)\n e = eig(a, compute_v=False)\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|--------------------------------------------------------------------------------|\n| class | [Eig.Options](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) || Optional attributes for [Eig](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig) |\n\n### Constants\n\n|--------|--------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [Eig.Options](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) | [computeV](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#computeV(java.lang.Boolean))(Boolean computeV) |\n| static \\\u003cU extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [Eig](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig)\\\u003cU\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c? extends org.tensorflow.types.family.TType\u003e, java.lang.Class\u003cU\u003e, org.tensorflow.op.linalg.Eig.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, Class\\\u003cU\\\u003e Tout, [Options...](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) options) Factory method to create a class wrapping a new Eig operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [e](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#e())() Eigenvalues. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [v](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#v())() Eigenvectors. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#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\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"Eig\"\n\nPublic Methods\n--------------\n\n#### public static [Eig.Options](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options)\n**computeV**\n(Boolean computeV)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| computeV | If \\`True\\` then eigenvectors will be computed and returned in \\`v\\`. Otherwise, only the eigenvalues will be computed. |\n|----------|-------------------------------------------------------------------------------------------------------------------------|\n\n#### public static [Eig](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig)\\\u003cU\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, Class\\\u003cU\\\u003e Tout, [Options...](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) options)\n\nFactory method to create a class wrapping a new Eig operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | \\`Tensor\\` input of shape \\`\\[N, N\\]\\`. |\n| options | carries optional attributes values |\n|---------|-----------------------------------------|\n\n##### Returns\n\n- a new instance of Eig \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**e**\n()\n\nEigenvalues. Shape is \\`\\[N\\]\\`. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**v**\n()\n\nEigenvectors. Shape is \\`\\[N, N\\]\\`."]]
