@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.SegmentSum extends Pointer
j such
that segment_ids[j] == i.
If the sum is empty for a given segment ID i, output[i] = 0.
data's
first dimension. Values should be sorted and can be repeated.
Returns:
* Output: Has same shape as data, except for dimension 0 which
has size k, the number of segments.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
SegmentSum(Pointer p)
Pointer cast constructor.
|
SegmentSum(tensorflow.Scope scope,
tensorflow.Input data,
tensorflow.Input segment_ids) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.SegmentSum |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.SegmentSum |
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 SegmentSum(Pointer p)
Pointer.Pointer(Pointer).public SegmentSum(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input data, @ByVal tensorflow.Input segment_ids)
@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.SegmentSum operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.SegmentSum output(tensorflow.Output output)
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