org.bytedeco.javacpp

Class tensorflow.ConditionalAccumulator

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ConditionalAccumulator

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

A conditional accumulator for aggregating gradients. The accumulator accepts gradients marked with local_step greater or equal to the most recent global_step known to the accumulator. The average can be extracted from the accumulator, provided sufficient gradients have been accumulated. Extracting the average automatically resets the aggregate to 0, and increments the global_step recorded by the accumulator. Arguments: * scope: A Scope object * dtype: The type of the value being accumulated. * shape: The shape of the values, can be [], in which case shape is unknown. Optional attributes (see Attrs): * container: If non-empty, this accumulator is placed in the given container. Otherwise, a default container is used. * shared_name: If non-empty, this accumulator will be shared under the given name across multiple sessions. Returns: * Output: The handle to the accumulator.

Nested Class Summary

Nested Classes

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

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
ConditionalAccumulator(Pointer p) Pointer cast constructor.
ConditionalAccumulator(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape)
ConditionalAccumulator(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape, tensorflow.ConditionalAccumulator.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.ConditionalAccumulator.Attrs	Container(BytePointer x)
static tensorflow.ConditionalAccumulator.Attrs	Container(String x)
tensorflow.Output	handle()
tensorflow.ConditionalAccumulator	handle(tensorflow.Output handle)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.ConditionalAccumulator	operation(tensorflow.Operation operation)
static tensorflow.ConditionalAccumulator.Attrs	ReductionType(BytePointer x)
static tensorflow.ConditionalAccumulator.Attrs	ReductionType(String x)
static tensorflow.ConditionalAccumulator.Attrs	SharedName(BytePointer x)
static tensorflow.ConditionalAccumulator.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

ConditionalAccumulator

public ConditionalAccumulator(Pointer p)

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

ConditionalAccumulator

public ConditionalAccumulator(@Const @ByRef
                              tensorflow.Scope scope,
                              @Cast(value="tensorflow::DataType")
                              int dtype,
                              @ByVal
                              tensorflow.PartialTensorShape shape)

ConditionalAccumulator

public ConditionalAccumulator(@Const @ByRef
                              tensorflow.Scope scope,
                              @Cast(value="tensorflow::DataType")
                              int dtype,
                              @ByVal
                              tensorflow.PartialTensorShape shape,
                              @Const @ByRef
                              tensorflow.ConditionalAccumulator.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()

Container

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

Container

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

SharedName

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

SharedName

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

ReductionType

@ByVal
public static tensorflow.ConditionalAccumulator.Attrs ReductionType(@tensorflow.StringPiece
                                                                            BytePointer x)

ReductionType

@ByVal
public static tensorflow.ConditionalAccumulator.Attrs ReductionType(@tensorflow.StringPiece
                                                                            String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ConditionalAccumulator operation(tensorflow.Operation operation)

handle

@ByRef
public tensorflow.Output handle()

handle

public tensorflow.ConditionalAccumulator handle(tensorflow.Output handle)