org.bytedeco.javacpp

Class mkldnn.mkldnn_eltwise_desc_t

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.mkldnn.mkldnn_eltwise_desc_t

All Implemented Interfaces:

AutoCloseable

Enclosing class:

mkldnn

public static class mkldnn.mkldnn_eltwise_desc_t
extends Pointer

A descriptor of a element-wise 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_eltwise_desc_t() Default native constructor.
mkldnn_eltwise_desc_t(long size) Native array allocator.
mkldnn_eltwise_desc_t(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
int	alg_kind() The kind of eltwise algorithm.
mkldnn.mkldnn_eltwise_desc_t	alg_kind(int alg_kind)
float	alpha() Algorithm specific parameter.
mkldnn.mkldnn_eltwise_desc_t	alpha(float alpha)
float	beta()
mkldnn.mkldnn_eltwise_desc_t	beta(float beta)
mkldnn.mkldnn_memory_desc_t	data_desc() Source and destination memory descriptor.
mkldnn.mkldnn_eltwise_desc_t	data_desc(mkldnn.mkldnn_memory_desc_t data_desc)
mkldnn.mkldnn_memory_desc_t	diff_data_desc() Source and destination gradient memory descriptor.
mkldnn.mkldnn_eltwise_desc_t	diff_data_desc(mkldnn.mkldnn_memory_desc_t diff_data_desc)
float	negative_slope() Deprecated. : use alpha instead \warning: read-only value
mkldnn.mkldnn_eltwise_desc_t	negative_slope(float negative_slope)
mkldnn.mkldnn_eltwise_desc_t	position(long position)
int	primitive_kind() The kind of primitive.
mkldnn.mkldnn_eltwise_desc_t	primitive_kind(int primitive_kind)
int	prop_kind() The kind of propagation.
mkldnn.mkldnn_eltwise_desc_t	prop_kind(int prop_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_eltwise_desc_t

public mkldnn_eltwise_desc_t()

Default native constructor.

mkldnn_eltwise_desc_t

public mkldnn_eltwise_desc_t(long size)

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

mkldnn_eltwise_desc_t

public mkldnn_eltwise_desc_t(Pointer p)

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

Method Detail

position

public mkldnn.mkldnn_eltwise_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_eltwise.

primitive_kind

public mkldnn.mkldnn_eltwise_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_eltwise_desc_t prop_kind(int prop_kind)

alg_kind

@Cast(value="mkldnn_alg_kind_t")
public int alg_kind()

The kind of eltwise algorithm. Possible values: #mkldnn_eltwise_relu, #mkldnn_eltwise_tanh, #mkldnn_eltwise_elu, #mkldnn_eltwise_square, #mkldnn_eltwise_abs, #mkldnn_eltwise_sqrt, #mkldnn_eltwise_linear, #mkldnn_eltwise_bounded_relu, #mkldnn_eltwise_soft_relu, #mkldnn_eltwise_logistic.

alg_kind

public mkldnn.mkldnn_eltwise_desc_t alg_kind(int alg_kind)

data_desc

@ByRef
public mkldnn.mkldnn_memory_desc_t data_desc()

Source and destination memory descriptor.

data_desc

public mkldnn.mkldnn_eltwise_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_eltwise_desc_t diff_data_desc(mkldnn.mkldnn_memory_desc_t diff_data_desc)

alpha

public float alpha()

Algorithm specific parameter. Accordance table: - #mkldnn_eltwise_relu: \p alpha -- negative slope, \p beta ignored - #mkldnn_eltwise_tanh: \p alpha and \p beta ignored - #mkldnn_eltwise_elu: \p alpha -- negative slope, \p beta ignored - #mkldnn_eltwise_square: \p alpha and \p beta ignored - #mkldnn_eltwise_abs: \p alpha and \p beta ignored - #mkldnn_eltwise_sqrt: \p alpha and \p beta ignored - #mkldnn_eltwise_linear: \p alpha -- scale, \p beta -- shift - #mkldnn_eltwise_bounded_relu: \p alpha -- upper bound, \p beta ignored - #mkldnn_eltwise_soft_relu: \p alpha and \p beta ignored - #mkldnn_eltwise_logistic: \p alpha and \p beta ignored

alpha

public mkldnn.mkldnn_eltwise_desc_t alpha(float alpha)

beta

public float beta()

beta

public mkldnn.mkldnn_eltwise_desc_t beta(float beta)

negative_slope

public float negative_slope()

Deprecated. : use alpha instead \warning: read-only value

ReLU scaling factor for negative values.

negative_slope

public mkldnn.mkldnn_eltwise_desc_t negative_slope(float negative_slope)