TriangularSolve

public final class TriangularSolve

Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.

`matrix` is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. If `lower` is `True` then the strictly upper triangular part of each inner-most matrix is assumed to be zero and not accessed. If `lower` is False then the strictly lower triangular part of each inner-most matrix is assumed to be zero and not accessed. `rhs` is a tensor of shape `[..., M, N]`.

The output is a tensor of shape `[..., M, N]`. If `adjoint` is `True` then the innermost matrices in `output` satisfy matrix equations `matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]`. If `adjoint` is `False` then the strictly then the innermost matrices in `output` satisfy matrix equations `adjoint(matrix[..., i, k]) * output[..., k, j] = rhs[..., i, j]`.

Note, the batch shapes for the inputs only need to broadcast.

Example:

a = tf.constant([[3,  0,  0,  0],
                  [2,  1,  0,  0],
                  [1,  0,  1,  0],
                  [1,  1,  1,  1]], dtype=tf.float32)
 
 b = tf.constant([[4],
                  [2],
                  [4],
                  [2]], dtype=tf.float32)
 
 x = tf.linalg.triangular_solve(a, b, lower=True)
 x
 # <tf.Tensor: shape=(4, 1), dtype=float32, numpy=
 # array([[ 1.3333334 ],
 #        [-0.66666675],
 #        [ 2.6666665 ],
 #        [-1.3333331 ]], dtype=float32)>
 
 # in python3 one can use `a@x`
 tf.matmul(a, x)
 # <tf.Tensor: shape=(4, 1), dtype=float32, numpy=
 # array([[4.       ],
 #        [2.       ],
 #        [4.       ],
 #        [1.9999999]], dtype=float32)>
 

Nested Classes

class TriangularSolve.Options Optional attributes for TriangularSolve  

Constants

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

Public Methods

static TriangularSolve.Options
adjoint(Boolean adjoint)
Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TType> TriangularSolve<T>
create(Scope scope, Operand<T> matrix, Operand<T> rhs, Options... options)
Factory method to create a class wrapping a new TriangularSolve operation.
static TriangularSolve.Options
lower(Boolean lower)
Output<T>
output()
Shape is `[..., M, K]`.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "MatrixTriangularSolve"

Public Methods

public static TriangularSolve.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 TriangularSolve<T> create (Scope scope, Operand<T> matrix, Operand<T> rhs, Options... options)

Factory method to create a class wrapping a new TriangularSolve 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 TriangularSolve

public static TriangularSolve.Options lower (Boolean lower)

Parameters
lower Boolean indicating whether the innermost matrices in `matrix` are lower or upper triangular.

public Output<T> output ()

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