org.bytedeco.javacpp

Class mkldnn.mkldnn_batch_normalization_desc_t

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.mkldnn.mkldnn_batch_normalization_desc_t

All Implemented Interfaces:

AutoCloseable

Enclosing class:

mkldnn

public static class mkldnn.mkldnn_batch_normalization_desc_t
extends Pointer

A descriptor of a Batch Normalization operation.

Nested Class Summary

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
mkldnn_batch_normalization_desc_t() Default native constructor.
mkldnn_batch_normalization_desc_t(long size) Native array allocator.
mkldnn_batch_normalization_desc_t(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
float	batch_norm_epsilon() Batch normalization epsilon parameter.
mkldnn.mkldnn_batch_normalization_desc_t	batch_norm_epsilon(float batch_norm_epsilon)
mkldnn.mkldnn_memory_desc_t	data_desc() Source and destination memory descriptor.
mkldnn.mkldnn_batch_normalization_desc_t	data_desc(mkldnn.mkldnn_memory_desc_t data_desc)
mkldnn.mkldnn_memory_desc_t	data_scaleshift_desc() Scale and shift data and gradient memory descriptors.
mkldnn.mkldnn_batch_normalization_desc_t	data_scaleshift_desc(mkldnn.mkldnn_memory_desc_t data_scaleshift_desc)
mkldnn.mkldnn_memory_desc_t	diff_data_desc() Source and destination gradient memory descriptor.
mkldnn.mkldnn_batch_normalization_desc_t	diff_data_desc(mkldnn.mkldnn_memory_desc_t diff_data_desc)
mkldnn.mkldnn_memory_desc_t	diff_data_scaleshift_desc()
mkldnn.mkldnn_batch_normalization_desc_t	diff_data_scaleshift_desc(mkldnn.mkldnn_memory_desc_t diff_data_scaleshift_desc)
int	flags()
mkldnn.mkldnn_batch_normalization_desc_t	flags(int flags)
mkldnn.mkldnn_memory_desc_t	mean_desc() Mean and variance data memory descriptors.
mkldnn.mkldnn_batch_normalization_desc_t	mean_desc(mkldnn.mkldnn_memory_desc_t mean_desc)
mkldnn.mkldnn_batch_normalization_desc_t	position(long position)
int	primitive_kind() The kind of primitive.
mkldnn.mkldnn_batch_normalization_desc_t	primitive_kind(int primitive_kind)
int	prop_kind() The kind of propagation.
mkldnn.mkldnn_batch_normalization_desc_t	prop_kind(int prop_kind)
mkldnn.mkldnn_memory_desc_t	variance_desc()
mkldnn.mkldnn_batch_normalization_desc_t	variance_desc(mkldnn.mkldnn_memory_desc_t variance_desc)

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, 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

mkldnn_batch_normalization_desc_t

public mkldnn_batch_normalization_desc_t()

Default native constructor.

mkldnn_batch_normalization_desc_t

public mkldnn_batch_normalization_desc_t(long size)

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

mkldnn_batch_normalization_desc_t

public mkldnn_batch_normalization_desc_t(Pointer p)

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

Method Detail

position

public mkldnn.mkldnn_batch_normalization_desc_t position(long position)

Overrides:

position in class Pointer

primitive_kind

@Cast(value="mkldnn_primitive_kind_t")
public int primitive_kind()

The kind of primitive. Used for self identifying the primitive descriptor. Must be #mkldnn_batch_normalization.

primitive_kind

public mkldnn.mkldnn_batch_normalization_desc_t primitive_kind(int primitive_kind)

prop_kind

@Cast(value="mkldnn_prop_kind_t")
public int prop_kind()

The kind of propagation. Possible values: #mkldnn_forward_training, #mkldnn_forward_inference, #mkldnn_backward, and #mkldnn_backward_data.

prop_kind

public mkldnn.mkldnn_batch_normalization_desc_t prop_kind(int prop_kind)

data_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t data_desc()

Source and destination memory descriptor.

data_desc

public mkldnn.mkldnn_batch_normalization_desc_t data_desc(mkldnn.mkldnn_memory_desc_t data_desc)

diff_data_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t diff_data_desc()

Source and destination gradient memory descriptor.

diff_data_desc

public mkldnn.mkldnn_batch_normalization_desc_t diff_data_desc(mkldnn.mkldnn_memory_desc_t diff_data_desc)

data_scaleshift_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t data_scaleshift_desc()

Scale and shift data and gradient memory descriptors. Scaleshift memory descriptor uses 2D #mkldnn_nc format[2,Channels]. 1-st dimension contains gamma parameter, 2-nd dimension contains beta parameter.

data_scaleshift_desc

public mkldnn.mkldnn_batch_normalization_desc_t data_scaleshift_desc(mkldnn.mkldnn_memory_desc_t data_scaleshift_desc)

diff_data_scaleshift_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t diff_data_scaleshift_desc()

diff_data_scaleshift_desc

public mkldnn.mkldnn_batch_normalization_desc_t diff_data_scaleshift_desc(mkldnn.mkldnn_memory_desc_t diff_data_scaleshift_desc)

mean_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t mean_desc()

Mean and variance data memory descriptors. Mean and variance memory descriptors use 1D #mkldnn_x format[Channels].

mean_desc

public mkldnn.mkldnn_batch_normalization_desc_t mean_desc(mkldnn.mkldnn_memory_desc_t mean_desc)

variance_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t variance_desc()

variance_desc

public mkldnn.mkldnn_batch_normalization_desc_t variance_desc(mkldnn.mkldnn_memory_desc_t variance_desc)

batch_norm_epsilon

public float batch_norm_epsilon()

Batch normalization epsilon parameter.

batch_norm_epsilon

public mkldnn.mkldnn_batch_normalization_desc_t batch_norm_epsilon(float batch_norm_epsilon)

flags

@Cast(value="unsigned")
public int flags()

flags

public mkldnn.mkldnn_batch_normalization_desc_t flags(int flags)