org.bytedeco.tensorflow

Class ResourceSparseApplyMomentum.Attrs

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.tensorflow.ResourceSparseApplyMomentum.Attrs

All Implemented Interfaces:

AutoCloseable

Enclosing class:

ResourceSparseApplyMomentum

public static class ResourceSparseApplyMomentum.Attrs
extends Pointer

Optional attribute setters for ResourceSparseApplyMomentum

Nested Class Summary

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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
Attrs() Default native constructor.
Attrs(long size) Native array allocator.
Attrs(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
ResourceSparseApplyMomentum.Attrs	getPointer(long i)
ResourceSparseApplyMomentum.Attrs	position(long position)
boolean	use_locking_()
ResourceSparseApplyMomentum.Attrs	use_locking_(boolean setter)
boolean	use_nesterov_()
ResourceSparseApplyMomentum.Attrs	use_nesterov_(boolean setter)
ResourceSparseApplyMomentum.Attrs	UseLocking(boolean x) If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
ResourceSparseApplyMomentum.Attrs	UseNesterov(boolean x) If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.

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, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

Attrs

public Attrs()

Default native constructor.

Attrs

public Attrs(long size)

Native array allocator. Access with Pointer.position(long).

Attrs

public Attrs(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

Method Detail

position

public ResourceSparseApplyMomentum.Attrs position(long position)

Overrides:

position in class Pointer

getPointer

public ResourceSparseApplyMomentum.Attrs getPointer(long i)

Overrides:

getPointer in class Pointer

UseLocking

@ByVal
public ResourceSparseApplyMomentum.Attrs UseLocking(@Cast(value="bool")
                                                            boolean x)

If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. Defaults to false

UseNesterov

@ByVal
public ResourceSparseApplyMomentum.Attrs UseNesterov(@Cast(value="bool")
                                                             boolean x)

If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum. Defaults to false

use_locking_

@Cast(value="bool")
public boolean use_locking_()

use_locking_

public ResourceSparseApplyMomentum.Attrs use_locking_(boolean setter)

use_nesterov_

@Cast(value="bool")
public boolean use_nesterov_()

use_nesterov_

public ResourceSparseApplyMomentum.Attrs use_nesterov_(boolean setter)