org.bytedeco.javacpp

Class tensorflow.Barrier

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Barrier

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.Barrier
extends Pointer

Defines a barrier that persists across different graph executions. A barrier represents a key-value map, where each key is a string, and each value is a tuple of tensors. At runtime, the barrier contains 'complete' and 'incomplete' elements. A complete element has defined tensors for all components of its value tuple, and may be accessed using BarrierTakeMany. An incomplete element has some undefined components in its value tuple, and may be updated using BarrierInsertMany. Arguments: * scope: A Scope object * component_types: The type of each component in a value. Optional attributes (see Attrs): * shapes: The shape of each component in a value. Each shape must be 1 in the first dimension. The length of this attr must be the same as the length of component_types. * capacity: The capacity of the barrier. The default capacity is MAX_INT32, which is the largest capacity of the underlying queue. * container: If non-empty, this barrier is placed in the given container. Otherwise, a default container is used. * shared_name: If non-empty, this barrier will be shared under the given name across multiple sessions. Returns: * Output: The handle to the barrier.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.Barrier.Attrs Optional attribute setters for Barrier

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
Barrier(Pointer p) Pointer cast constructor.
Barrier(tensorflow.Scope scope, tensorflow.DataTypeVector component_types)
Barrier(tensorflow.Scope scope, tensorflow.DataTypeVector component_types, tensorflow.Barrier.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.Barrier.Attrs	Capacity(long x)
static tensorflow.Barrier.Attrs	Container(BytePointer x)
static tensorflow.Barrier.Attrs	Container(String x)
tensorflow.Output	handle()
tensorflow.Barrier	handle(tensorflow.Output handle)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.Barrier	operation(tensorflow.Operation operation)
static tensorflow.Barrier.Attrs	Shapes(tensorflow.PartialTensorShape x)
static tensorflow.Barrier.Attrs	SharedName(BytePointer x)
static tensorflow.Barrier.Attrs	SharedName(String x)

Methods inherited from class org.bytedeco.javacpp.Pointer

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, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Barrier

public Barrier(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Barrier

public Barrier(@Const @ByRef
               tensorflow.Scope scope,
               @Cast(value="const tensorflow::DataTypeSlice*") @ByRef
               tensorflow.DataTypeVector component_types)

Barrier

public Barrier(@Const @ByRef
               tensorflow.Scope scope,
               @Cast(value="const tensorflow::DataTypeSlice*") @ByRef
               tensorflow.DataTypeVector component_types,
               @Const @ByRef
               tensorflow.Barrier.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

Shapes

@ByVal
public static tensorflow.Barrier.Attrs Shapes(@tensorflow.ArraySlice
                                                      tensorflow.PartialTensorShape x)

Capacity

@ByVal
public static tensorflow.Barrier.Attrs Capacity(@Cast(value="tensorflow::int64")
                                                        long x)

Container

@ByVal
public static tensorflow.Barrier.Attrs Container(@tensorflow.StringPiece
                                                         BytePointer x)

Container

@ByVal
public static tensorflow.Barrier.Attrs Container(@tensorflow.StringPiece
                                                         String x)

SharedName

@ByVal
public static tensorflow.Barrier.Attrs SharedName(@tensorflow.StringPiece
                                                          BytePointer x)

SharedName

@ByVal
public static tensorflow.Barrier.Attrs SharedName(@tensorflow.StringPiece
                                                          String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.Barrier operation(tensorflow.Operation operation)

handle

@ByRef
public tensorflow.Output handle()

handle

public tensorflow.Barrier handle(tensorflow.Output handle)