@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.AssignSub extends Pointer
Variable node.
* value: The value to be subtracted to the variable.
Optional attributes (see Attrs):
* use_locking: If True, the subtraction will be protected by a lock;
otherwise the behavior is undefined, but may exhibit less contention.
Returns:
* Output: = Same as "ref". Returned as a convenience for operations that want
to use the new value after the variable has been updated.| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.AssignSub.Attrs
Optional attribute setters for AssignSub
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
AssignSub(Pointer p)
Pointer cast constructor.
|
AssignSub(tensorflow.Scope scope,
tensorflow.Input ref,
tensorflow.Input value) |
AssignSub(tensorflow.Scope scope,
tensorflow.Input ref,
tensorflow.Input value,
tensorflow.AssignSub.Attrs attrs) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.AssignSub |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output_ref() |
tensorflow.AssignSub |
output_ref(tensorflow.Output output_ref) |
static tensorflow.AssignSub.Attrs |
UseLocking(boolean x) |
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 AssignSub(Pointer p)
Pointer.Pointer(Pointer).public AssignSub(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input ref, @ByVal tensorflow.Input value)
public AssignSub(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input ref, @ByVal tensorflow.Input value, @Const @ByRef tensorflow.AssignSub.Attrs attrs)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByVal public static tensorflow.AssignSub.Attrs UseLocking(@Cast(value="bool") boolean x)
@ByRef public tensorflow.Operation operation()
public tensorflow.AssignSub operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output_ref()
public tensorflow.AssignSub output_ref(tensorflow.Output output_ref)
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