Module: Torch::NN

Defined in:

lib/torch/nn/gru.rb,
lib/torch/nn/rnn.rb,
lib/torch/nn/fold.rb,
lib/torch/nn/init.rb,
lib/torch/nn/loss.rb,
lib/torch/nn/lstm.rb,
lib/torch/nn/relu.rb,
lib/torch/nn/tanh.rb,
lib/torch/nn/prelu.rb,
lib/torch/nn/utils.rb,
lib/torch/nn/conv1d.rb,
lib/torch/nn/conv2d.rb,
lib/torch/nn/conv3d.rb,
lib/torch/nn/convnd.rb,
lib/torch/nn/linear.rb,
lib/torch/nn/module.rb,
lib/torch/nn/unfold.rb,
lib/torch/nn/dropout.rb,
lib/torch/nn/l1_loss.rb,
lib/torch/nn/sigmoid.rb,
lib/torch/nn/softmax.rb,
lib/torch/nn/softmin.rb,
lib/torch/nn/bce_loss.rb,
lib/torch/nn/bilinear.rb,
lib/torch/nn/ctc_loss.rb,
lib/torch/nn/identity.rb,
lib/torch/nn/mse_loss.rb,
lib/torch/nn/nll_loss.rb,
lib/torch/nn/rnn_base.rb,
lib/torch/nn/softplus.rb,
lib/torch/nn/softsign.rb,
lib/torch/nn/dropout2d.rb,
lib/torch/nn/dropout3d.rb,
lib/torch/nn/dropoutnd.rb,
lib/torch/nn/embedding.rb,
lib/torch/nn/lp_pool1d.rb,
lib/torch/nn/lp_pool2d.rb,
lib/torch/nn/lp_poolnd.rb,
lib/torch/nn/parameter.rb,
lib/torch/nn/softmax2d.rb,
lib/torch/nn/avg_pool1d.rb,
lib/torch/nn/avg_pool2d.rb,
lib/torch/nn/avg_pool3d.rb,
lib/torch/nn/avg_poolnd.rb,
lib/torch/nn/batch_norm.rb,
lib/torch/nn/functional.rb,
lib/torch/nn/group_norm.rb,
lib/torch/nn/hardshrink.rb,
lib/torch/nn/layer_norm.rb,
lib/torch/nn/leaky_relu.rb,
lib/torch/nn/max_pool1d.rb,
lib/torch/nn/max_pool2d.rb,
lib/torch/nn/max_pool3d.rb,
lib/torch/nn/max_poolnd.rb,
lib/torch/nn/sequential.rb,
lib/torch/nn/softshrink.rb,
lib/torch/nn/tanhshrink.rb,
lib/torch/nn/zero_pad2d.rb,
lib/torch/nn/kl_div_loss.rb,
lib/torch/nn/log_sigmoid.rb,
lib/torch/nn/log_softmax.rb,
lib/torch/nn/batch_norm1d.rb,
lib/torch/nn/batch_norm2d.rb,
lib/torch/nn/batch_norm3d.rb,
lib/torch/nn/max_unpool1d.rb,
lib/torch/nn/max_unpool2d.rb,
lib/torch/nn/max_unpool3d.rb,
lib/torch/nn/max_unpoolnd.rb,
lib/torch/nn/alpha_dropout.rb,
lib/torch/nn/embedding_bag.rb,
lib/torch/nn/instance_norm.rb,
lib/torch/nn/weighted_loss.rb,
lib/torch/nn/constant_pad1d.rb,
lib/torch/nn/constant_pad2d.rb,
lib/torch/nn/constant_pad3d.rb,
lib/torch/nn/constant_padnd.rb,
lib/torch/nn/smooth_l1_loss.rb,
lib/torch/nn/instance_norm1d.rb,
lib/torch/nn/instance_norm2d.rb,
lib/torch/nn/instance_norm3d.rb,
lib/torch/nn/poisson_nll_loss.rb,
lib/torch/nn/reflection_pad1d.rb,
lib/torch/nn/reflection_pad2d.rb,
lib/torch/nn/reflection_padnd.rb,
lib/torch/nn/soft_margin_loss.rb,
lib/torch/nn/cosine_similarity.rb,
lib/torch/nn/multi_margin_loss.rb,
lib/torch/nn/pairwise_distance.rb,
lib/torch/nn/replication_pad1d.rb,
lib/torch/nn/replication_pad2d.rb,
lib/torch/nn/replication_pad3d.rb,
lib/torch/nn/replication_padnd.rb,
lib/torch/nn/cross_entropy_loss.rb,
lib/torch/nn/adaptive_avg_pool1d.rb,
lib/torch/nn/adaptive_avg_pool2d.rb,
lib/torch/nn/adaptive_avg_pool3d.rb,
lib/torch/nn/adaptive_avg_poolnd.rb,
lib/torch/nn/adaptive_max_pool1d.rb,
lib/torch/nn/adaptive_max_pool2d.rb,
lib/torch/nn/adaptive_max_pool3d.rb,
lib/torch/nn/adaptive_max_poolnd.rb,
lib/torch/nn/local_response_norm.rb,
lib/torch/nn/margin_ranking_loss.rb,
lib/torch/nn/triplet_margin_loss.rb,
lib/torch/nn/bce_with_logits_loss.rb,
lib/torch/nn/hinge_embedding_loss.rb,
lib/torch/nn/cosine_embedding_loss.rb,
lib/torch/nn/feature_alpha_dropout.rb,
lib/torch/nn/multi_label_margin_loss.rb,
lib/torch/nn/multi_label_soft_margin_loss.rb

Defined Under Namespace

Modules: Init, Utils Classes: AdaptiveAvgPool1d, AdaptiveAvgPool2d, AdaptiveAvgPool3d, AdaptiveAvgPoolNd, AdaptiveMaxPool1d, AdaptiveMaxPool2d, AdaptiveMaxPool3d, AdaptiveMaxPoolNd, AlphaDropout, AvgPool1d, AvgPool2d, AvgPool3d, AvgPoolNd, BCELoss, BCEWithLogitsLoss, BatchNorm, BatchNorm1d, BatchNorm2d, BatchNorm3d, Bilinear, CTCLoss, ConstantPad1d, ConstantPad2d, ConstantPad3d, ConstantPadNd, Conv1d, Conv2d, Conv3d, ConvNd, CosineEmbeddingLoss, CosineSimilarity, CrossEntropyLoss, Dropout, Dropout2d, Dropout3d, DropoutNd, Embedding, EmbeddingBag, FeatureAlphaDropout, Fold, Functional, GRU, GroupNorm, Hardshrink, HingeEmbeddingLoss, Identity, InstanceNorm, InstanceNorm1d, InstanceNorm2d, InstanceNorm3d, KLDivLoss, L1Loss, LPPool1d, LPPool2d, LPPoolNd, LSTM, LayerNorm, LeakyReLU, Linear, LocalResponseNorm, LogSigmoid, LogSoftmax, Loss, MSELoss, MarginRankingLoss, MaxPool1d, MaxPool2d, MaxPool3d, MaxPoolNd, MaxUnpool1d, MaxUnpool2d, MaxUnpool3d, MaxUnpoolNd, Module, MultiLabelMarginLoss, MultiLabelSoftMarginLoss, MultiMarginLoss, NLLLoss, PReLU, PairwiseDistance, Parameter, PoissonNLLLoss, RNN, RNNBase, ReLU, ReflectionPad1d, ReflectionPad2d, ReflectionPadNd, ReplicationPad1d, ReplicationPad2d, ReplicationPad3d, ReplicationPadNd, Sequential, Sigmoid, SmoothL1Loss, SoftMarginLoss, Softmax, Softmax2d, Softmin, Softplus, Softshrink, Softsign, Tanh, Tanhshrink, TripletMarginLoss, Unfold, WeightedLoss, ZeroPad2d

Constant Summary

F =

shortcut

Functional