@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.AccumulatorNumAccumulated extends Pointer
Output: The number of gradients aggregated in the given accumulator.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
AccumulatorNumAccumulated(Pointer p)
Pointer cast constructor.
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AccumulatorNumAccumulated(tensorflow.Scope scope,
tensorflow.Input handle) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Output |
num_accumulated() |
tensorflow.AccumulatorNumAccumulated |
num_accumulated(tensorflow.Output num_accumulated) |
tensorflow.Operation |
operation() |
tensorflow.AccumulatorNumAccumulated |
operation(tensorflow.Operation operation) |
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 AccumulatorNumAccumulated(Pointer p)
Pointer.Pointer(Pointer).public AccumulatorNumAccumulated(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input handle)
@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.AccumulatorNumAccumulated operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output num_accumulated()
public tensorflow.AccumulatorNumAccumulated num_accumulated(tensorflow.Output num_accumulated)
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