@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.LogMatrixDeterminant extends Pointer
[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 the 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.
Arguments:
* scope: A Scope object
* input: Shape is [N, M, M].
Returns:
* Output sign: The signs of the log determinants of the inputs. Shape is [N].
* Output log_abs_determinant: The logs of the absolute values of the determinants
of the N input matrices. Shape is [N].Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
LogMatrixDeterminant(Pointer p)
Pointer cast constructor.
|
LogMatrixDeterminant(tensorflow.Scope scope,
tensorflow.Input input) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Output |
log_abs_determinant() |
tensorflow.LogMatrixDeterminant |
log_abs_determinant(tensorflow.Output log_abs_determinant) |
tensorflow.Operation |
operation() |
tensorflow.LogMatrixDeterminant |
operation(tensorflow.Operation operation) |
tensorflow.Output |
sign() |
tensorflow.LogMatrixDeterminant |
sign(tensorflow.Output sign) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic LogMatrixDeterminant(Pointer p)
Pointer.Pointer(Pointer).public LogMatrixDeterminant(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input)
@ByRef public tensorflow.Operation operation()
public tensorflow.LogMatrixDeterminant operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output sign()
public tensorflow.LogMatrixDeterminant sign(tensorflow.Output sign)
@ByRef public tensorflow.Output log_abs_determinant()
public tensorflow.LogMatrixDeterminant log_abs_determinant(tensorflow.Output log_abs_determinant)
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