LogMatrixDeterminant
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Computes the sign and the log of the absolute value of the determinant of
one or more square matrices.
The input is a tensor of shape `[N, M, M]` whose inner-most 2 dimensions
form square matrices. The outputs are two tensors containing the signs and
absolute values of the log determinants for all N input submatrices
`[..., :, :]` such that `determinant = sign*exp(log_abs_determinant)`.
The `log_abs_determinant` is computed as `det(P)*sum(log(diag(LU)))` where `LU`
is the `LU` decomposition of the input and `P` is the corresponding
permutation matrix.
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
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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Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"LogMatrixDeterminant"
Public Methods
Factory method to create a class wrapping a new LogMatrixDeterminant operation.
Parameters
scope |
current scope |
input |
Shape is `[N, M, M]`. |
Returns
- a new instance of LogMatrixDeterminant
public
Output<T>
logAbsDeterminant
()
The logs of the absolute values of the determinants
of the N input matrices. Shape is `[N]`.
public
Output<T>
sign
()
The signs of the log determinants of the inputs. Shape is `[N]`.
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Last updated 2021-11-29 UTC.
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