@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.ShapeN extends Pointer
input[i]s.
Arguments:
* scope: A Scope object
Returns:
* OutputList: The output tensor.| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.ShapeN.Attrs
Optional attribute setters for ShapeN
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
ShapeN(Pointer p)
Pointer cast constructor.
|
ShapeN(tensorflow.Scope scope,
tensorflow.InputList input) |
ShapeN(tensorflow.Scope scope,
tensorflow.InputList input,
tensorflow.ShapeN.Attrs attrs) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Output |
get(long index) |
tensorflow.Operation |
operation() |
tensorflow.ShapeN |
operation(tensorflow.Operation operation) |
tensorflow.OutputVector |
output() |
tensorflow.ShapeN |
output(tensorflow.OutputVector output) |
static tensorflow.ShapeN.Attrs |
OutType(int 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 ShapeN(Pointer p)
Pointer.Pointer(Pointer).public ShapeN(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.InputList input)
public ShapeN(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.InputList input, @Const @ByRef tensorflow.ShapeN.Attrs attrs)
@ByVal @Name(value="operator []") public tensorflow.Output get(@Cast(value="size_t") long index)
@ByVal public static tensorflow.ShapeN.Attrs OutType(@Cast(value="tensorflow::DataType") int x)
@ByRef public tensorflow.Operation operation()
public tensorflow.ShapeN operation(tensorflow.Operation operation)
@ByRef @Cast(value="tensorflow::OutputList*") public tensorflow.OutputVector output()
public tensorflow.ShapeN output(tensorflow.OutputVector output)
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