@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Cross extends Pointer
a and b must be the same shape; they can either be simple 3-element vectors,
or any shape where the innermost dimension is 3. In the latter case, each pair
of corresponding 3-element vectors is cross-multiplied independently.
Arguments:
* scope: A Scope object
* a: A tensor containing 3-element vectors.
* b: Another tensor, of same type and shape as a.
Returns:
* Output: Pairwise cross product of the vectors in a and b.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
Cross(Pointer p)
Pointer cast constructor.
|
Cross(tensorflow.Scope scope,
tensorflow.Input a,
tensorflow.Input b) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.Cross |
operation(tensorflow.Operation operation) |
tensorflow.Output |
product() |
tensorflow.Cross |
product(tensorflow.Output product) |
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 Cross(Pointer p)
Pointer.Pointer(Pointer).public Cross(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input a, @ByVal tensorflow.Input b)
@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.Cross operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output product()
public tensorflow.Cross product(tensorflow.Output product)
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