Documentation for torch-rb (0.9.0)

Alphabetic Index

File Listing

README

Namespace Listing A-Z

A

ASGD (Torch::Optim)
Adadelta (Torch::Optim)
Adagrad (Torch::Optim)
Adam (Torch::Optim)
AdamW (Torch::Optim)
Adamax (Torch::Optim)
AdaptiveAvgPool1d (Torch::NN)
AdaptiveAvgPool2d (Torch::NN)
AdaptiveAvgPool3d (Torch::NN)
AdaptiveAvgPoolNd (Torch::NN)
AdaptiveMaxPool1d (Torch::NN)
AdaptiveMaxPool2d (Torch::NN)
AdaptiveMaxPool3d (Torch::NN)
AdaptiveMaxPoolNd (Torch::NN)
AlphaDropout (Torch::NN)
Autograd (Torch)
AvgPool1d (Torch::NN)
AvgPool2d (Torch::NN)
AvgPool3d (Torch::NN)
AvgPoolNd (Torch::NN)

B

BCELoss (Torch::NN)
BCEWithLogitsLoss (Torch::NN)
BatchNorm (Torch::NN)
BatchNorm1d (Torch::NN)
BatchNorm2d (Torch::NN)
BatchNorm3d (Torch::NN)
Bilinear (Torch::NN)
ByteStorage (Torch)

C

CTCLoss (Torch::NN)
ConstantPad1d (Torch::NN)
ConstantPad2d (Torch::NN)
ConstantPad3d (Torch::NN)
ConstantPadNd (Torch::NN)
Conv1d (Torch::NN)
Conv2d (Torch::NN)
Conv3d (Torch::NN)
ConvNd (Torch::NN)
CosineAnnealingLR (Torch::Optim::LRScheduler)
CosineEmbeddingLoss (Torch::NN)
CosineSimilarity (Torch::NN)
CrossEntropyLoss (Torch::NN)

D

Data (Torch::Utils)
DataLoader (Torch::Utils::Data)
Dataset (Torch::Utils::Data)
Dropout (Torch::NN)
Dropout2d (Torch::NN)
Dropout3d (Torch::NN)
DropoutNd (Torch::NN)

E

Embedding (Torch::NN)
EmbeddingBag (Torch::NN)
Error (Torch)
ExponentialLR (Torch::Optim::LRScheduler)

F

FeatureAlphaDropout (Torch::NN)
Fold (Torch::NN)
Formatter (Torch::Inspector)
Functional (Torch::NN)

G

GRU (Torch::NN)
GroupNorm (Torch::NN)

H

Hardshrink (Torch::NN)
HingeEmbeddingLoss (Torch::NN)
Hub (Torch)

I

Identity (Torch::NN)
Init (Torch::NN)
Inspector (Torch)
InstanceNorm (Torch::NN)
InstanceNorm1d (Torch::NN)
InstanceNorm2d (Torch::NN)
InstanceNorm3d (Torch::NN)

K

KLDivLoss (Torch::NN)

L

L1Loss (Torch::NN)
LPPool1d (Torch::NN)
LPPool2d (Torch::NN)
LPPoolNd (Torch::NN)
LRScheduler (Torch::Optim::LRScheduler)
LRScheduler (Torch::Optim)
LSTM (Torch::NN)
LambdaLR (Torch::Optim::LRScheduler)
LayerNorm (Torch::NN)
LeakyReLU (Torch::NN)
Linear (Torch::NN)
LocalResponseNorm (Torch::NN)
LogSigmoid (Torch::NN)
LogSoftmax (Torch::NN)
Loss (Torch::NN)

M

MSELoss (Torch::NN)
MarginRankingLoss (Torch::NN)
MaxPool1d (Torch::NN)
MaxPool2d (Torch::NN)
MaxPool3d (Torch::NN)
MaxPoolNd (Torch::NN)
MaxUnpool1d (Torch::NN)
MaxUnpool2d (Torch::NN)
MaxUnpool3d (Torch::NN)
MaxUnpoolNd (Torch::NN)
Module (Torch::NN)
ModuleList (Torch::NN)
MultiLabelMarginLoss (Torch::NN)
MultiLabelSoftMarginLoss (Torch::NN)
MultiMarginLoss (Torch::NN)
MultiStepLR (Torch::Optim::LRScheduler)
MultiheadAttention (Torch::NN)
MultiplicativeLR (Torch::Optim::LRScheduler)

N

NLLLoss (Torch::NN)
NN (Torch)
NotImplementedYet (Torch)

O

Optim (Torch)
Optimizer (Torch::Optim)

P

PReLU (Torch::NN)
PairwiseDistance (Torch::NN)
Parameter (Torch::NN)
PoissonNLLLoss (Torch::NN)

R

RMSprop (Torch::Optim)
RNN (Torch::NN)
RNNBase (Torch::NN)
ReLU (Torch::NN)
ReflectionPad1d (Torch::NN)
ReflectionPad2d (Torch::NN)
ReflectionPadNd (Torch::NN)
ReplicationPad1d (Torch::NN)
ReplicationPad2d (Torch::NN)
ReplicationPad3d (Torch::NN)
ReplicationPadNd (Torch::NN)
Rprop (Torch::Optim)

S

SGD (Torch::Optim)
Sequential (Torch::NN)
Sigmoid (Torch::NN)
SmoothL1Loss (Torch::NN)
SoftMarginLoss (Torch::NN)
Softmax (Torch::NN)
Softmax2d (Torch::NN)
Softmin (Torch::NN)
Softplus (Torch::NN)
Softshrink (Torch::NN)
Softsign (Torch::NN)
StepLR (Torch::Optim::LRScheduler)
Subset (Torch::Utils::Data)

T

Tanh (Torch::NN)
Tanhshrink (Torch::NN)
Tensor (Torch)
TensorDataset (Torch::Utils::Data)
Torch
Transformer (Torch::NN)
TransformerDecoder (Torch::NN)
TransformerDecoderLayer (Torch::NN)
TransformerEncoder (Torch::NN)
TransformerEncoderLayer (Torch::NN)
TripletMarginLoss (Torch::NN)

U

Unfold (Torch::NN)
Upsample (Torch::NN)
Utils (Torch::NN)
Utils (Torch)

V

Variable (Torch::Autograd)

W

WeightedLoss (Torch::NN)

Z

ZeroPad2d (Torch::NN)