org.bytedeco.javacpp

Class mkldnn.mkldnn_memory_desc_t

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.mkldnn.mkldnn_memory_desc_t

All Implemented Interfaces:

AutoCloseable

Enclosing class:

mkldnn

public static class mkldnn.mkldnn_memory_desc_t
extends Pointer

Memory descriptor. The description is based on a number of dimensions, dimensions themselves, plus information about elements type and memory format. Additionally, contains format-specific descriptions of the data layout.

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

Method Summary

Modifier and Type	Method and Description
int	data_type() Data type of the tensor elements.
mkldnn.mkldnn_memory_desc_t	data_type(int data_type)
IntPointer	dims() Dimensions in the following order: mini-batch, channel, spatial.
int	format() Memory format.
mkldnn.mkldnn_memory_desc_t	format(int format)
mkldnn.mkldnn_blocking_desc_t	layout_desc_blocking() Description of the data layout for memory formats that use blocking.
mkldnn.mkldnn_memory_desc_t	layout_desc_blocking(mkldnn.mkldnn_blocking_desc_t layout_desc_blocking)
mkldnn.mkldnn_wino_desc_t	layout_desc_wino_desc() Tensor of weights for integer 8bit winograd convolution.
mkldnn.mkldnn_memory_desc_t	layout_desc_wino_desc(mkldnn.mkldnn_wino_desc_t layout_desc_wino_desc)
int	ndims() Number of dimensions
mkldnn.mkldnn_memory_desc_t	ndims(int ndims)
mkldnn.mkldnn_memory_desc_t	position(long position)
int	primitive_kind() The kind of primitive.
mkldnn.mkldnn_memory_desc_t	primitive_kind(int primitive_kind)

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_memory_desc_t

public mkldnn_memory_desc_t()

Default native constructor.

mkldnn_memory_desc_t

public mkldnn_memory_desc_t(long size)

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

mkldnn_memory_desc_t

public mkldnn_memory_desc_t(Pointer p)

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

Method Detail

position

public mkldnn.mkldnn_memory_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_memory.

primitive_kind

public mkldnn.mkldnn_memory_desc_t primitive_kind(int primitive_kind)

ndims

public int ndims()

Number of dimensions

ndims

public mkldnn.mkldnn_memory_desc_t ndims(int ndims)

dims

@MemberGetter
 @Const
public IntPointer dims()

Dimensions in the following order: mini-batch, channel, spatial. For example: {N, C, H, W}.

data_type

@Cast(value="mkldnn_data_type_t")
public int data_type()

Data type of the tensor elements.

data_type

public mkldnn.mkldnn_memory_desc_t data_type(int data_type)

format

@Cast(value="mkldnn_memory_format_t")
public int format()

Memory format.

format

public mkldnn.mkldnn_memory_desc_t format(int format)

layout_desc_blocking

@Name(value="layout_desc.blocking")
 @ByRef
public mkldnn.mkldnn_blocking_desc_t layout_desc_blocking()

Description of the data layout for memory formats that use blocking.

layout_desc_blocking

public mkldnn.mkldnn_memory_desc_t layout_desc_blocking(mkldnn.mkldnn_blocking_desc_t layout_desc_blocking)

layout_desc_wino_desc

@Name(value="layout_desc.wino_desc")
 @ByRef
public mkldnn.mkldnn_wino_desc_t layout_desc_wino_desc()

Tensor of weights for integer 8bit winograd convolution.

layout_desc_wino_desc

public mkldnn.mkldnn_memory_desc_t layout_desc_wino_desc(mkldnn.mkldnn_wino_desc_t layout_desc_wino_desc)