T
- data type for output()
outputpublic final class MatrixLogarithm<T> extends PrimitiveOp implements Operand<T>
\\(log(exp(A)) = A\\)
This op is only defined for complex matrices. If A is positive-definite and real, then casting to a complex matrix, taking the logarithm and casting back to a real matrix will give the correct result.
This function computes the matrix logarithm using the Schur-Parlett algorithm. Details of the algorithm can be found in Section 11.6.2 of: Nicholas J. Higham, Functions of Matrices: Theory and Computation, SIAM 2008. ISBN 978-0-898716-46-7.
The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. The output is a tensor of the same shape as the input containing the exponential for all input submatrices `[..., :, :]`.
operation
Modifier and Type | Method and Description |
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Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> MatrixLogarithm<T> |
create(Scope scope,
Operand<T> input)
Factory method to create a class wrapping a new MatrixLogarithm operation.
|
Output<T> |
output()
Shape is `[..., M, M]`.
|
equals, hashCode, op, toString
public static <T> MatrixLogarithm<T> create(Scope scope, Operand<T> input)
scope
- current scopeinput
- Shape is `[..., M, M]`.public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
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