@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.PriorityQueue extends Pointer
Attrs):
* component_types: The type of each component in a value.
* capacity: The upper bound on the number of elements in this queue.
Negative numbers mean no limit.
* container: If non-empty, this queue is placed in the given container.
Otherwise, a default container is used.
* shared_name: If non-empty, this queue will be shared under the given name
across multiple sessions.
Returns:
* Output: The handle to the queue.| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.PriorityQueue.Attrs
Optional attribute setters for PriorityQueue
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
PriorityQueue(Pointer p)
Pointer cast constructor.
|
PriorityQueue(tensorflow.Scope scope,
tensorflow.PartialTensorShape shapes) |
PriorityQueue(tensorflow.Scope scope,
tensorflow.PartialTensorShape shapes,
tensorflow.PriorityQueue.Attrs attrs) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
static tensorflow.PriorityQueue.Attrs |
Capacity(long x) |
static tensorflow.PriorityQueue.Attrs |
ComponentTypes(tensorflow.DataTypeVector x) |
static tensorflow.PriorityQueue.Attrs |
Container(BytePointer x) |
static tensorflow.PriorityQueue.Attrs |
Container(String x) |
tensorflow.Output |
handle() |
tensorflow.PriorityQueue |
handle(tensorflow.Output handle) |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.PriorityQueue |
operation(tensorflow.Operation operation) |
static tensorflow.PriorityQueue.Attrs |
SharedName(BytePointer x) |
static tensorflow.PriorityQueue.Attrs |
SharedName(String 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 PriorityQueue(Pointer p)
Pointer.Pointer(Pointer).public PriorityQueue(@Const @ByRef tensorflow.Scope scope, @tensorflow.ArraySlice tensorflow.PartialTensorShape shapes)
public PriorityQueue(@Const @ByRef tensorflow.Scope scope, @tensorflow.ArraySlice tensorflow.PartialTensorShape shapes, @Const @ByRef tensorflow.PriorityQueue.Attrs attrs)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByVal public static tensorflow.PriorityQueue.Attrs ComponentTypes(@Cast(value="const tensorflow::DataTypeSlice*") @ByRef tensorflow.DataTypeVector x)
@ByVal public static tensorflow.PriorityQueue.Attrs Capacity(@Cast(value="tensorflow::int64") long x)
@ByVal public static tensorflow.PriorityQueue.Attrs Container(@tensorflow.StringPiece BytePointer x)
@ByVal public static tensorflow.PriorityQueue.Attrs Container(@tensorflow.StringPiece String x)
@ByVal public static tensorflow.PriorityQueue.Attrs SharedName(@tensorflow.StringPiece BytePointer x)
@ByVal public static tensorflow.PriorityQueue.Attrs SharedName(@tensorflow.StringPiece String x)
@ByRef public tensorflow.Operation operation()
public tensorflow.PriorityQueue operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output handle()
public tensorflow.PriorityQueue handle(tensorflow.Output handle)
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