org.bytedeco.dnnl.global

Enum dnnl.algorithm

java.lang.Object

java.lang.Enum<dnnl.algorithm>

org.bytedeco.dnnl.global.dnnl.algorithm

All Implemented Interfaces:

Serializable, Comparable<dnnl.algorithm>

Enclosing class:

dnnl

@Namespace(value="dnnl")
public static enum dnnl.algorithm
extends Enum<dnnl.algorithm>

Kinds of algorithms.

Enum Constant Summary

Enum Constants

Enum Constant and Description
binary_add Binary add
binary_max Binary max
binary_min Binary min
binary_mul Binary mul
convolution_auto Convolution algorithm that is chosen to be either direct or Winograd automatically
convolution_direct Direct convolution
convolution_winograd Winograd convolution
deconvolution_direct Direct deconvolution
deconvolution_winograd Winograd deconvolution
eltwise_abs Elementwise: abs
eltwise_bounded_relu Elementwise: bounded_relu
eltwise_clip Elementwise: clip
eltwise_elu Elementwise: exponential linear unit (ELU)
eltwise_elu_use_dst_for_bwd Elementwise: exponential linear unit (ELU) (dst for backward)
eltwise_exp Elementwise: exponent
eltwise_exp_use_dst_for_bwd Elementwise: exponent (dst for backward)
eltwise_gelu Elementwise: gelu alias for #dnnl::algorithm::eltwise_gelu_tanh
eltwise_gelu_erf Elementwise: erf-based gelu
eltwise_gelu_tanh Elementwise: tanh-based gelu
eltwise_linear Elementwise: linear
eltwise_log Elementwise: natural logarithm
eltwise_logistic Elementwise: logistic
eltwise_logistic_use_dst_for_bwd Elementwise: logistic (dst for backward)
eltwise_pow Elementwise: pow
eltwise_relu Elementwise: rectified linear unit (ReLU)
eltwise_relu_use_dst_for_bwd Elementwise: rectified linar unit (ReLU) (dst for backward)
eltwise_round Elementwise: round
eltwise_soft_relu Elementwise: soft_relu
eltwise_sqrt Elementwise: square root
eltwise_sqrt_use_dst_for_bwd Elementwise: square root (dst for backward)
eltwise_square Elementwise: square
eltwise_swish Elementwise: swish (x \cdot sigmoid(a \cdot x))
eltwise_tanh Elementwise: hyperbolic tangent non-linearity (tanh)
eltwise_tanh_use_dst_for_bwd Elementwise: hyperbolic tangent non-linearity (tanh) (dst for backward)
lbr_gru GRU cell with linear before reset.
lrn_across_channels Local response normalization (LRN) across multiple channels
lrn_within_channel LRN within a single channel
pooling_avg Average pooling exclude padding, alias for #dnnl::algorithm::pooling_avg_include_padding
pooling_avg_exclude_padding Average pooling exclude padding
pooling_avg_include_padding Average pooling include padding
pooling_max Max pooling
resampling_linear Linear (Bilinear, Trilinear) resampling method
resampling_nearest Nearest Neighbor resampling method
undef Undefined algorithm
vanilla_gru GRU cell
vanilla_lstm LSTM cell
vanilla_rnn RNN cell

Field Summary

Fields

Modifier and Type	Field and Description
int	value

Method Summary

Modifier and Type	Method and Description
dnnl.algorithm	intern()
String	toString()
static dnnl.algorithm	valueOf(String name) Returns the enum constant of this type with the specified name.
static dnnl.algorithm[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

undef

public static final dnnl.algorithm undef

Undefined algorithm

convolution_auto

public static final dnnl.algorithm convolution_auto

Convolution algorithm that is chosen to be either direct or Winograd automatically

convolution_direct

public static final dnnl.algorithm convolution_direct

Direct convolution

convolution_winograd

public static final dnnl.algorithm convolution_winograd

Winograd convolution

deconvolution_direct

public static final dnnl.algorithm deconvolution_direct

Direct deconvolution

deconvolution_winograd

public static final dnnl.algorithm deconvolution_winograd

Winograd deconvolution

eltwise_relu

public static final dnnl.algorithm eltwise_relu

Elementwise: rectified linear unit (ReLU)

eltwise_tanh

public static final dnnl.algorithm eltwise_tanh

Elementwise: hyperbolic tangent non-linearity (tanh)

eltwise_elu

public static final dnnl.algorithm eltwise_elu

Elementwise: exponential linear unit (ELU)

eltwise_square

public static final dnnl.algorithm eltwise_square

Elementwise: square

eltwise_abs

public static final dnnl.algorithm eltwise_abs

Elementwise: abs

eltwise_sqrt

public static final dnnl.algorithm eltwise_sqrt

Elementwise: square root

eltwise_swish

public static final dnnl.algorithm eltwise_swish

Elementwise: swish (x \cdot sigmoid(a \cdot x))

eltwise_linear

public static final dnnl.algorithm eltwise_linear

Elementwise: linear

eltwise_bounded_relu

public static final dnnl.algorithm eltwise_bounded_relu

Elementwise: bounded_relu

eltwise_soft_relu

public static final dnnl.algorithm eltwise_soft_relu

Elementwise: soft_relu

eltwise_logistic

public static final dnnl.algorithm eltwise_logistic

Elementwise: logistic

eltwise_exp

public static final dnnl.algorithm eltwise_exp

Elementwise: exponent

eltwise_gelu

public static final dnnl.algorithm eltwise_gelu

Elementwise: gelu alias for #dnnl::algorithm::eltwise_gelu_tanh

eltwise_gelu_tanh

public static final dnnl.algorithm eltwise_gelu_tanh

Elementwise: tanh-based gelu

eltwise_gelu_erf

public static final dnnl.algorithm eltwise_gelu_erf

Elementwise: erf-based gelu

eltwise_log

public static final dnnl.algorithm eltwise_log

Elementwise: natural logarithm

eltwise_clip

public static final dnnl.algorithm eltwise_clip

Elementwise: clip

eltwise_pow

public static final dnnl.algorithm eltwise_pow

Elementwise: pow

eltwise_round

public static final dnnl.algorithm eltwise_round

Elementwise: round

eltwise_relu_use_dst_for_bwd

public static final dnnl.algorithm eltwise_relu_use_dst_for_bwd

Elementwise: rectified linar unit (ReLU) (dst for backward)

eltwise_tanh_use_dst_for_bwd

public static final dnnl.algorithm eltwise_tanh_use_dst_for_bwd

Elementwise: hyperbolic tangent non-linearity (tanh) (dst for backward)

eltwise_elu_use_dst_for_bwd

public static final dnnl.algorithm eltwise_elu_use_dst_for_bwd

Elementwise: exponential linear unit (ELU) (dst for backward)

eltwise_sqrt_use_dst_for_bwd

public static final dnnl.algorithm eltwise_sqrt_use_dst_for_bwd

Elementwise: square root (dst for backward)

eltwise_logistic_use_dst_for_bwd

public static final dnnl.algorithm eltwise_logistic_use_dst_for_bwd

Elementwise: logistic (dst for backward)

eltwise_exp_use_dst_for_bwd

public static final dnnl.algorithm eltwise_exp_use_dst_for_bwd

Elementwise: exponent (dst for backward)

lrn_across_channels

public static final dnnl.algorithm lrn_across_channels

Local response normalization (LRN) across multiple channels

lrn_within_channel

public static final dnnl.algorithm lrn_within_channel

LRN within a single channel

pooling_max

public static final dnnl.algorithm pooling_max

Max pooling

pooling_avg

public static final dnnl.algorithm pooling_avg

Average pooling exclude padding, alias for #dnnl::algorithm::pooling_avg_include_padding

pooling_avg_include_padding

public static final dnnl.algorithm pooling_avg_include_padding

Average pooling include padding

pooling_avg_exclude_padding

public static final dnnl.algorithm pooling_avg_exclude_padding

Average pooling exclude padding

vanilla_rnn

public static final dnnl.algorithm vanilla_rnn

RNN cell

vanilla_lstm

public static final dnnl.algorithm vanilla_lstm

LSTM cell

vanilla_gru

public static final dnnl.algorithm vanilla_gru

GRU cell

lbr_gru

public static final dnnl.algorithm lbr_gru

GRU cell with linear before reset. Differs from the vanilla GRU in how the new memory gate is calculated: c_t = tanh(W_c*x_t + b_{c_x} + r_t*(U_c*h_{t-1}+b_{c_h})) LRB GRU expects 4 bias tensors on input: [b_{u}, b_{r}, b_{c_x}, b_{c_h}]

binary_add

public static final dnnl.algorithm binary_add

Binary add

binary_mul

public static final dnnl.algorithm binary_mul

Binary mul

binary_max

public static final dnnl.algorithm binary_max

Binary max

binary_min

public static final dnnl.algorithm binary_min

Binary min

resampling_nearest

public static final dnnl.algorithm resampling_nearest

Nearest Neighbor resampling method

resampling_linear

public static final dnnl.algorithm resampling_linear

Linear (Bilinear, Trilinear) resampling method

Field Detail

value

public final int value

Method Detail

values

public static dnnl.algorithm[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (dnnl.algorithm c : dnnl.algorithm.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static dnnl.algorithm valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

intern

public dnnl.algorithm intern()

toString

public String toString()

Overrides:

toString in class Enum<dnnl.algorithm>