@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.MatrixDeterminant extends Pointer
[..., M, M] whose inner-most 2 dimensions
form square matrices. The output is a tensor containing the determinants
for all input submatrices [..., :, :].
Arguments:
* scope: A Scope object
* input: Shape is [..., M, M].
Returns:
* Output: Shape is [...].Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
MatrixDeterminant(Pointer p)
Pointer cast constructor.
|
MatrixDeterminant(tensorflow.Scope scope,
tensorflow.Input input) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.MatrixDeterminant |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.MatrixDeterminant |
output(tensorflow.Output output) |
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 MatrixDeterminant(Pointer p)
Pointer.Pointer(Pointer).public MatrixDeterminant(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByRef public tensorflow.Operation operation()
public tensorflow.MatrixDeterminant operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.MatrixDeterminant output(tensorflow.Output output)
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