@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.BroadcastDynamicShape extends Pointer
s0 and s1, tensors that represent shapes, compute r0, the
broadcasted shape. s0, s1 and r0 are all integer vectors.
Arguments:
* scope: A Scope object
Returns:
* Output: The r0 tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
BroadcastDynamicShape(Pointer p)
Pointer cast constructor.
|
BroadcastDynamicShape(tensorflow.Scope scope,
tensorflow.Input s0,
tensorflow.Input s1) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.BroadcastDynamicShape |
operation(tensorflow.Operation operation) |
tensorflow.Output |
r0() |
tensorflow.BroadcastDynamicShape |
r0(tensorflow.Output r0) |
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 BroadcastDynamicShape(Pointer p)
Pointer.Pointer(Pointer).public BroadcastDynamicShape(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input s0, @ByVal tensorflow.Input s1)
@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.BroadcastDynamicShape operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output r0()
public tensorflow.BroadcastDynamicShape r0(tensorflow.Output r0)
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