Solves systems of linear equations.
`Matrix` is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. `Rhs` is a tensor of shape `[..., M, K]`. The `output` is a tensor shape `[..., M, K]`. If `adjoint` is `False` then each output matrix satisfies `matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]`. If `adjoint` is `True` then each output matrix satisfies `adjoint(matrix[..., :, :]) * output[..., :, :] = rhs[..., :, :]`.
Nested Classes
| class | Solve.Options | Optional attributes for Solve
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|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static Solve.Options |
adjoint(Boolean adjoint)
|
| Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
| static <T extends TType> Solve<T> |
create(Scope scope, Operand<T> matrix, Operand<T> rhs, Options... options)
Factory method to create a class wrapping a new Solve operation.
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| Output<T> |
output()
Shape is `[..., M, K]`.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static Solve.Options adjoint (Boolean adjoint)
Parameters
| adjoint | Boolean indicating whether to solve with `matrix` or its (block-wise) adjoint. |
|---|
public Output<T> asOutput ()
Returns the symbolic handle of the 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.
public static Solve<T> create (Scope scope, Operand<T> matrix, Operand<T> rhs, Options... options)
Factory method to create a class wrapping a new Solve operation.
Parameters
| scope | current scope |
|---|---|
| matrix | Shape is `[..., M, M]`. |
| rhs | Shape is `[..., M, K]`. |
| options | carries optional attributes values |
Returns
- a new instance of Solve