Solve

public final class Solve

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  

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.
Output<T>
output()
Shape is `[..., M, K]`.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "MatrixSolve"

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

public Output<T> output ()

Shape is `[..., M, K]`.