Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TridiagonalSolve
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Solves tridiagonal systems of equations.
Solves tridiagonal systems of equations.
Supports batch dimensions and multiple right-hand sides per each left-hand
side.
On CPU, solution is computed via Gaussian elimination with or without partial
pivoting, depending on `partial_pivoting` attribute. On GPU, Nvidia's cuSPARSE
library is used: https://docs.nvidia.com/cuda/cusparse/index.html#gtsv
Partial pivoting is not yet supported by XLA backends.
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
public
Output<T>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new TridiagonalSolve operation.
Parameters
scope |
current scope |
diagonals |
Tensor of shape `[..., 3, M]` whose innermost 2 dimensions represent the
tridiagonal matrices with three rows being the superdiagonal, diagonals, and
subdiagonals, in order. The last element of the superdiagonal and the first
element of the subdiagonal is ignored. |
rhs |
Tensor of shape `[..., M, K]`, representing K right-hand sides per each
left-hand side. |
options |
carries optional attributes values |
Returns
- a new instance of TridiagonalSolve
public
Output<T>
output
()
Tensor of shape `[..., M, K]` containing the solutions
public
static
TridiagonalSolve.Options
partialPivoting
(Boolean partialPivoting)
Parameters
partialPivoting |
Whether to apply partial pivoting. Partial pivoting makes the procedure more
stable, but slower.
|
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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,["# TridiagonalSolve\n\npublic final class **TridiagonalSolve** \nSolves tridiagonal systems of equations.\n\n\nSolves tridiagonal systems of equations.\nSupports batch dimensions and multiple right-hand sides per each left-hand\nside.\nOn CPU, solution is computed via Gaussian elimination with or without partial\npivoting, depending on \\`partial_pivoting\\` attribute. On GPU, Nvidia's cuSPARSE\nlibrary is used: https://docs.nvidia.com/cuda/cusparse/index.html#gtsv\nPartial pivoting is not yet supported by XLA backends.\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|----------------------------------------------------------------------------------------------------|\n| class | [TridiagonalSolve.Options](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options) || Optional attributes for [TridiagonalSolve](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve) |\n\n### Public Methods\n\n|---------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve#asOutput())() Returns the symbolic handle of a tensor. |\n| static \\\u003cT\\\u003e [TridiagonalSolve](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve)\\\u003cT\\\u003e | [create](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.Operand\u003cT\u003e,%20org.tensorflow.op.core.TridiagonalSolve.Options...))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e diagonals, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e rhs, [Options...](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options) options) Factory method to create a class wrapping a new TridiagonalSolve operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [output](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve#output())() Tensor of shape \\`\\[..., M, K\\]\\` containing the solutions |\n| static [TridiagonalSolve.Options](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options) | [partialPivoting](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve#partialPivoting(java.lang.Boolean))(Boolean partialPivoting) |\n| static [TridiagonalSolve.Options](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options) | [perturbSingular](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve#perturbSingular(java.lang.Boolean))(Boolean perturbSingular) |\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\nFrom interface [org.tensorflow.Operand](/api_docs/java/org/tensorflow/Operand) \n\n|--------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| abstract [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of a tensor. |\n\nPublic Methods\n--------------\n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of a tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [TridiagonalSolve](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve)\\\u003cT\\\u003e\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e diagonals, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e rhs, [Options...](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options) options)\n\nFactory method to create a class wrapping a new TridiagonalSolve operation. \n\n##### Parameters\n\n| scope | current scope |\n| diagonals | Tensor of shape \\`\\[..., 3, M\\]\\` whose innermost 2 dimensions represent the tridiagonal matrices with three rows being the superdiagonal, diagonals, and subdiagonals, in order. The last element of the superdiagonal and the first element of the subdiagonal is ignored. |\n| rhs | Tensor of shape \\`\\[..., M, K\\]\\`, representing K right-hand sides per each left-hand side. |\n| options | carries optional attributes values |\n|-----------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of TridiagonalSolve \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**output**\n()\n\nTensor of shape \\`\\[..., M, K\\]\\` containing the solutions \n\n#### public static [TridiagonalSolve.Options](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options)\n**partialPivoting**\n(Boolean partialPivoting)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| partialPivoting | Whether to apply partial pivoting. Partial pivoting makes the procedure more stable, but slower. |\n|-----------------|--------------------------------------------------------------------------------------------------|\n\n#### public static [TridiagonalSolve.Options](/api_docs/java/org/tensorflow/op/core/TridiagonalSolve.Options)\n**perturbSingular**\n(Boolean perturbSingular)\n\n\u003cbr /\u003e"]]