@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Tile extends Pointer
input multiples times.
The output tensor's i'th dimension has input.dims(i) * multiples[i] elements,
and the values of input are replicated multiples[i] times along the 'i'th
dimension. For example, tiling [a b c d] by [2] produces
[a b c d a b c d].
Arguments:
* scope: A Scope object
* input: 1-D or higher.
* multiples: 1-D. Length must be the same as the number of dimensions in input
Returns:
* Output: The output tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
Tile(Pointer p)
Pointer cast constructor.
|
Tile(tensorflow.Scope scope,
tensorflow.Input input,
tensorflow.Input multiples) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.Tile |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.Tile |
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 Tile(Pointer p)
Pointer.Pointer(Pointer).public Tile(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input multiples)
@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.Tile operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.Tile output(tensorflow.Output output)
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