@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Range extends Pointer
start and
extends by increments of delta up to but not including limit.
For example:
# 'start' is 3
# 'limit' is 18
# 'delta' is 3
tf.range(start, limit, delta) ==> [3, 6, 9, 12, 15]
Arguments:
* scope: A Scope object
* start: 0-D (scalar). First entry in the sequence.
* limit: 0-D (scalar). Upper limit of sequence, exclusive.
* delta: 0-D (scalar). Optional. Default is 1. Number that increments start.
Returns:
* Output: 1-D.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
Range(Pointer p)
Pointer cast constructor.
|
Range(tensorflow.Scope scope,
tensorflow.Input start,
tensorflow.Input limit,
tensorflow.Input delta) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.Range |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.Range |
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 Range(Pointer p)
Pointer.Pointer(Pointer).public Range(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input start, @ByVal tensorflow.Input limit, @ByVal tensorflow.Input delta)
@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.Range operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.Range output(tensorflow.Output output)
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