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#<=> Torch::Tensor
#[] Torch::NN::ModuleList
#[] Torch::Tensor
#[] Torch::Utils::Data::TensorDataset
#[] Torch::NN::ParameterList
#[] Torch::Utils::Data::Subset
#[]= Torch::Tensor
#_activation_fn Torch::NN::Utils
#_apply Torch::NN::RNNBase
#_apply Torch::NN::Module
_calculate_fan_in_and_fan_out Torch::NN::Init
#_check_input_dim Torch::NN::BatchNorm1d
#_check_input_dim Torch::NN::InstanceNorm1d
#_check_input_dim Torch::NN::BatchNorm2d
#_check_input_dim Torch::NN::InstanceNorm2d
#_check_input_dim Torch::NN::BatchNorm3d
#_check_input_dim Torch::NN::InstanceNorm3d
#_clones Torch::NN::Utils
_dtype_to_numo Torch
_from_blob_ref Torch
_make_tensor_class Torch
#_ntuple Torch::NN::Utils
#_pair Torch::NN::Utils
#_quadrupal Torch::NN::Utils
#_single Torch::NN::Utils
#_triple Torch::NN::Utils
adaptive_avg_pool1d Torch::NN::Functional
adaptive_avg_pool2d Torch::NN::Functional
adaptive_avg_pool3d Torch::NN::Functional
adaptive_max_pool1d Torch::NN::Functional
adaptive_max_pool2d Torch::NN::Functional
adaptive_max_pool3d Torch::NN::Functional
#add_module Torch::NN::Module
#add_param_group Torch::Optim::Optimizer
alpha_dropout Torch::NN::Functional
#append Torch::NN::ModuleList
#apply Torch::NN::Module
avg_pool1d Torch::NN::Functional
avg_pool2d Torch::NN::Functional
avg_pool3d Torch::NN::Functional
#batch_first? Torch::NN::MultiheadAttention
#batch_first? Torch::NN::Transformer
batch_norm Torch::NN::Functional
bilinear Torch::NN::Functional
binary_cross_entropy Torch::NN::Functional
binary_cross_entropy_with_logits Torch::NN::Functional
#buffers Torch::NN::Module
#bytes Torch::ByteStorage
calculate_gain Torch::NN::Init
#call Torch::NN::Module
#check_forward_args Torch::NN::LSTM
#children Torch::NN::Module
#close Torch::Utils::Data::DataPipes::Iter::StreamWrapper
close_streams Torch::Utils::Data::DataPipes::Iter::StreamWrapper
#coerce Torch::Tensor
#concat Torch::NN::ModuleList
#concat Torch::NN::ParameterList
conv1d Torch::NN::Functional
conv2d Torch::NN::Functional
conv3d Torch::NN::Functional
cosine_embedding_loss Torch::NN::Functional
cosine_similarity Torch::NN::Functional
#cpu Torch::Tensor
#cpu Torch::NN::Module
cross_entropy Torch::NN::Functional
ctc_loss Torch::NN::Functional
#cuda Torch::NN::Module
#cuda Torch::Tensor
#d_model Torch::NN::Transformer
#dataset Torch::Utils::Data::DataLoader
#decoder Torch::NN::Transformer
#deep_dup Torch::NN::Module
device Torch
#dilation Torch::NN::ConvNd
#double Torch::NN::Module
download_url_to_file Torch::Hub
dropout Torch::NN::Functional
dropout2d Torch::NN::Functional
dropout3d Torch::NN::Functional
#dtype Torch::Tensor
#dup Torch::NN::Parameter
#dup Torch::Tensor
#each Torch::Utils::Data::IterableDataset
#each Torch::Utils::Data::DataPipes::Iter::FileOpener
#each Torch::Utils::Data::DataPipes::Iter::IterableWrapper
#each Torch::Tensor
#each Torch::Utils::Data::DataPipes::FilterIterDataPipe
#each Torch::NN::ParameterList
#each Torch::Utils::Data::DataLoader
#each Torch::Utils::Data::DataPipes::Iter::FileLister
#each Torch::Utils::Data::DataPipes::IterDataPipe
#each Torch::NN::ModuleList
embedding Torch::NN::Functional
embedding_bag Torch::NN::Functional
enable_grad Torch
#encoder Torch::NN::Transformer
#eval Torch::NN::Module
#extra_inspect Torch::NN::MaxPoolNd
#extra_inspect Torch::NN::ReplicationPadNd
#extra_inspect Torch::NN::MaxUnpoolNd
#extra_inspect Torch::NN::PReLU
#extra_inspect Torch::NN::ReLU
#extra_inspect Torch::NN::LeakyReLU
#extra_inspect Torch::NN::Hardshrink
#extra_inspect Torch::NN::Bilinear
#extra_inspect Torch::NN::LocalResponseNorm
#extra_inspect Torch::NN::Conv2d
#extra_inspect Torch::NN::LayerNorm
#extra_inspect Torch::NN::GroupNorm
#extra_inspect Torch::NN::DropoutNd
#extra_inspect Torch::NN::RNNBase
#extra_inspect Torch::NN::Softshrink
#extra_inspect Torch::NN::Softplus
#extra_inspect Torch::NN::AdaptiveAvgPoolNd
#extra_inspect Torch::NN::AdaptiveMaxPoolNd
#extra_inspect Torch::NN::AvgPoolNd
#extra_inspect Torch::NN::ReflectionPadNd
#extra_inspect Torch::NN::Upsample
#extra_inspect Torch::NN::BatchNorm
#extra_inspect Torch::NN::LPPoolNd
#extra_inspect Torch::NN::Linear
#extra_inspect Torch::NN::Softmax
#extra_inspect Torch::NN::ConstantPadNd
feature_alpha_dropout Torch::NN::Functional
#flatten_parameters Torch::NN::RNNBase
#float Torch::NN::Module
fold Torch::NN::Functional
#format Torch::Inspector::Formatter
#forward Torch::NN::MultiMarginLoss
#forward Torch::NN::AvgPool1d
#forward Torch::NN::TransformerDecoderLayer
#forward Torch::NN::AdaptiveMaxPool2d
#forward Torch::NN::TransformerEncoderLayer
#forward Torch::NN::AdaptiveAvgPool1d
#forward Torch::NN::Conv2d
#forward Torch::NN::Conv3d
#forward Torch::NN::SmoothL1Loss
#forward Torch::NN::Conv1d
#forward Torch::NN::LayerNorm
#forward Torch::NN::PReLU
#forward Torch::NN::LeakyReLU
#forward Torch::NN::ReLU
#forward Torch::NN::Tanh
#forward Torch::NN::LSTM
#forward Torch::NN::Hardshrink
#forward Torch::NN::GroupNorm
#forward Torch::NN::Sequential
#forward Torch::NN::CosineSimilarity
#forward Torch::NN::FeatureAlphaDropout
#forward Torch::NN::AdaptiveMaxPool1d
#forward Torch::NN::SoftMarginLoss
#forward Torch::NN::AdaptiveAvgPool2d
#forward Torch::NN::MarginRankingLoss
#forward Torch::NN::CosineEmbeddingLoss
#forward Torch::NN::Module
#forward Torch::NN::ReflectionPadNd
#forward Torch::NN::Linear
#forward Torch::NN::CTCLoss
#forward Torch::NN::Transformer
#forward Torch::NN::L1Loss
#forward Torch::NN::Sigmoid
#forward Torch::NN::Softmax
#forward Torch::NN::Softmin
#forward Torch::NN::TripletMarginLoss
#forward Torch::NN::EmbeddingBag
#forward Torch::NN::Dropout
#forward Torch::NN::Unfold
#forward Torch::NN::MultiheadAttention
#forward Torch::NN::AlphaDropout
#forward Torch::NN::PoissonNLLLoss
#forward Torch::NN::MultiLabelMarginLoss
#forward Torch::NN::Bilinear
#forward Torch::NN::TransformerEncoder
#forward Torch::NN::BCELoss
#forward Torch::NN::AdaptiveMaxPool3d
#forward Torch::NN::AvgPool2d
#forward Torch::NN::InstanceNorm
#forward Torch::NN::MaxPool3d
#forward Torch::NN::AdaptiveAvgPool3d
#forward Torch::NN::KLDivLoss
#forward Torch::NN::Fold
#forward Torch::NN::Softshrink
#forward Torch::NN::ReplicationPadNd
#forward Torch::NN::TransformerDecoder
#forward Torch::NN::LogSoftmax
#forward Torch::NN::MaxPool1d
#forward Torch::NN::AvgPool3d
#forward Torch::NN::HingeEmbeddingLoss
#forward Torch::NN::Tanhshrink
#forward Torch::NN::MaxUnpool2d
#forward Torch::NN::ConstantPadNd
#forward Torch::NN::MultiLabelSoftMarginLoss
#forward Torch::NN::PairwiseDistance
#forward Torch::NN::LogSigmoid
#forward Torch::NN::BCEWithLogitsLoss
#forward Torch::NN::GRU
#forward Torch::NN::CrossEntropyLoss
#forward Torch::NN::MaxPool2d
#forward Torch::NN::BatchNorm
#forward Torch::NN::Embedding
#forward Torch::NN::Dropout3d
#forward Torch::NN::Dropout2d
#forward Torch::NN::Upsample
#forward Torch::NN::Softsign
#forward Torch::NN::MaxUnpool1d
#forward Torch::NN::RNNBase
#forward Torch::NN::Softplus
#forward Torch::NN::LocalResponseNorm
#forward Torch::NN::MSELoss
#forward Torch::NN::Identity
#forward Torch::NN::NLLLoss
#forward Torch::NN::MaxUnpool3d
#forward Torch::NN::LPPool2d
#forward Torch::NN::LPPool1d
#forward Torch::NN::Softmax2d
#forward_impl Torch::NN::LSTM
#forward_impl Torch::NN::GRU
#forward_tensor Torch::NN::LSTM
#forward_tensor Torch::NN::GRU
from_buffer Torch::ByteStorage
from_numo Torch
functional_datapipe Torch::Utils::Data::DataPipes::IterDataPipe
functions Torch::Utils::Data::DataPipes::IterDataPipe
#generate_square_subsequent_mask Torch::NN::Transformer
#get_lr Torch::Optim::LRScheduler::StepLR
#get_lr Torch::Optim::LRScheduler::MultiplicativeLR
#get_lr Torch::Optim::LRScheduler::MultiStepLR
#get_lr Torch::Optim::LRScheduler::CosineAnnealingLR
#get_lr Torch::Optim::LRScheduler::LambdaLR
#get_lr Torch::Optim::LRScheduler::ExponentialLR
#gets Torch::Utils::Data::DataPipes::Iter::StreamWrapper
grad_enabled Torch
group_norm Torch::NN::Functional
#groups Torch::NN::ConvNd
#half Torch::NN::Module
hardshrink Torch::NN::Functional
hinge_embedding_loss Torch::NN::Functional
#imag Torch::Tensor
#in_channels Torch::NN::ConvNd
#in_features Torch::NN::Linear
in_projection Torch::NN::Functional
in_projection_packed Torch::NN::Functional
#initialize Torch::NN::Bilinear
#initialize Torch::Optim::LRScheduler::ExponentialLR
#initialize Torch::NN::BCELoss
#initialize Torch::Optim::ASGD
#initialize Torch::NN::Softmin
#initialize Torch::Optim::Adam
#initialize Torch::NN::L1Loss
#initialize Torch::NN::Unfold
#initialize Torch::Optim::SGD
#initialize Torch::NN::Softmax
#initialize Torch::NN::CTCLoss
#initialize Torch::Utils::Data::DataPipes::Iter::FileLister
#initialize Torch::Optim::LRScheduler::MultiplicativeLR
#initialize Torch::Utils::Data::TensorDataset
#initialize Torch::NN::ReflectionPad2d
#initialize Torch::NN::AdaptiveAvgPoolNd
#initialize Torch::NN::CosineSimilarity
#initialize Torch::NN::BatchNorm
#initialize Torch::NN::AvgPool1d
#initialize Torch::NN::AvgPool2d
#initialize Torch::NN::AvgPool3d
#initialize Torch::Optim::LRScheduler::LambdaLR
#initialize Torch::NN::ParameterList
#initialize Torch::Optim::Adamax
#initialize Torch::NN::DropoutNd
#initialize Torch::NN::Embedding
#initialize Torch::NN::LPPoolNd
#initialize Torch::NN::TransformerEncoderLayer
#initialize Torch::Optim::Rprop
#initialize Torch::NN::Upsample
#initialize Torch::Optim::AdamW
#initialize Torch::NN::HingeEmbeddingLoss
#initialize Torch::NN::Softplus
#initialize Torch::NN::RNNBase
#initialize Torch::NN::NLLLoss
#initialize Torch::NN::MSELoss
#initialize Torch::NN::CosineEmbeddingLoss
#initialize Torch::Optim::LRScheduler::StepLR
#initialize Torch::NN::SmoothL1Loss
#initialize Torch::NN::ConstantPad3d
#initialize Torch::Utils::Data::DataPipes::FilterIterDataPipe
#initialize Torch::NN::TransformerDecoder
#initialize Torch::Optim::LRScheduler::MultiStepLR
#initialize Torch::NN::MaxUnpool1d
#initialize Torch::Utils::Data::DataLoader
#initialize Torch::NN::ReflectionPad1d
#initialize Torch::NN::MultiMarginLoss
#initialize Torch::NN::Identity
#initialize Torch::NN::TransformerEncoder
#initialize Torch::NN::Module
#initialize Torch::NN::Linear
#initialize Torch::NN::LocalResponseNorm
#initialize Torch::NN::MaxUnpool2d
#initialize Torch::NN::AdaptiveMaxPoolNd
#initialize Torch::NN::MarginRankingLoss
#initialize Torch::NN::CrossEntropyLoss
#initialize Torch::NN::Conv3d
#initialize Torch::NN::Conv2d
#initialize Torch::NN::ConstantPad1d
#initialize Torch::NN::Conv1d
#initialize Torch::Inspector::Formatter
#initialize Torch::NN::PReLU
#initialize Torch::NN::ReLU
#initialize Torch::NN::ConvNd
#initialize Torch::NN::PoissonNLLLoss
#initialize Torch::NN::MaxUnpool3d
#initialize Torch::Utils::Data::DataPipes::Iter::IterableWrapper
#initialize Torch::Optim::LRScheduler::CosineAnnealingLR
#initialize Torch::NN::Loss
#initialize Torch::NN::LSTM
#initialize Torch::NN::MultiheadAttention
#initialize Torch::NN::Fold
#initialize Torch::NN::MultiLabelMarginLoss
#initialize Torch::NN::ReplicationPad3d
#initialize Torch::NN::ReplicationPad2d
#initialize Torch::NN::PairwiseDistance
#initialize Torch::NN::EmbeddingBag
#initialize Torch::Utils::Data::DataPipes::Iter::FileOpener
#initialize Torch::NN::ConstantPadNd
#initialize Torch::NN::RNN
#initialize Torch::NN::WeightedLoss
#initialize Torch::NN::GRU
#initialize Torch::NN::MultiLabelSoftMarginLoss
#initialize Torch::NN::SoftMarginLoss
#initialize Torch::ByteStorage
#initialize Torch::Utils::Data::Subset
#initialize Torch::Optim::Optimizer
#initialize Torch::NN::ConstantPad2d
#initialize Torch::Optim::Adagrad
#initialize Torch::NN::ZeroPad2d
#initialize Torch::NN::Sequential
#initialize Torch::NN::Softshrink
#initialize Torch::NN::MaxPoolNd
#initialize Torch::NN::LeakyReLU
#initialize Torch::NN::LayerNorm
#initialize Torch::NN::Hardshrink
#initialize Torch::NN::GroupNorm
#initialize Torch::NN::TransformerDecoderLayer
#initialize Torch::Optim::RMSprop
#initialize Torch::Optim::LRScheduler::LRScheduler
#initialize Torch::NN::TripletMarginLoss
#initialize Torch::NN::BCEWithLogitsLoss
#initialize Torch::NN::InstanceNorm
#initialize Torch::NN::Transformer
#initialize Torch::NN::ModuleList
#initialize Torch::NN::KLDivLoss
#initialize Torch::NN::LogSoftmax
#initialize Torch::NN::ReplicationPad1d
#initialize Torch::Optim::Adadelta
#initialize Torch::Utils::Data::DataPipes::Iter::StreamWrapper
#inspect Torch::NN::Parameter
#inspect Torch::NN::Embedding
#inspect Torch::NN::Module
#inspect Torch::Inspector
instance_norm Torch::NN::Functional
interpolate Torch::NN::Functional
#item Torch::Tensor
kaiming_normal! Torch::NN::Init
kaiming_uniform! Torch::NN::Init
#kernel_size Torch::NN::ConvNd
kl_div Torch::NN::Functional
l1_loss Torch::NN::Functional
layer_norm Torch::NN::Functional
#layout Torch::Tensor
leaky_relu Torch::NN::Functional
#length Torch::Utils::Data::DataPipes::Iter::IterableWrapper
#length Torch::Tensor
#length Torch::Utils::Data::Subset
#length Torch::NN::ModuleList
#length Torch::NN::ParameterList
linear Torch::NN::Functional
list Torch::Hub
load Torch
#load_state_dict Torch::NN::Module
#load_state_dict Torch::Optim::Optimizer
load_state_dict_from_url Torch::Hub
local_response_norm Torch::NN::Functional
log_sigmoid Torch::NN::Functional
log_softmax Torch::NN::Functional
margin_ranking_loss Torch::NN::Functional
max_pool1d Torch::NN::Functional
max_pool2d Torch::NN::Functional
max_pool3d Torch::NN::Functional
max_unpool1d Torch::NN::Functional
max_unpool2d Torch::NN::Functional
max_unpool3d Torch::NN::Functional
#message Torch::NotImplementedYet
#method_missing Torch::NN::Module
#modules Torch::NN::Module
mse_loss Torch::NN::Functional
multi_head_attention_forward Torch::NN::Functional
multi_margin_loss Torch::NN::Functional
multilabel_margin_loss Torch::NN::Functional
multilabel_soft_margin_loss Torch::NN::Functional
#named_buffers Torch::NN::Module
#named_children Torch::NN::Module
#named_modules Torch::NN::Module
#named_parameters Torch::NN::Module
new Torch::NN::Parameter
#new Torch::Tensor
new Torch::Tensor
new Torch::Autograd::Variable
#nhead Torch::NN::Transformer
nll_loss Torch::NN::Functional
no_grad Torch
#non_empty? Torch::Utils::Data::DataPipes::FilterIterDataPipe
normal! Torch::NN::Init
#numo Torch::Tensor
orthogonal! Torch::NN::Init
#out_channels Torch::NN::ConvNd
#out_features Torch::NN::Linear
#output_paddding Torch::NN::ConvNd
pad Torch::NN::Functional
#padding Torch::NN::ConvNd
#padding_mode Torch::NN::ConvNd
pairwise_distance Torch::NN::Functional
#param_groups Torch::Optim::Optimizer
#parameters Torch::NN::Module
#permute_hidden Torch::NN::RNNBase
#permute_hidden Torch::NN::LSTM
poisson_nll_loss Torch::NN::Functional
prelu Torch::NN::Functional
#random! Torch::Tensor
random_split Torch::Utils::Data
#real Torch::Tensor
#register_buffer Torch::NN::Module
register_datapipe_as_function Torch::Utils::Data::DataPipes::IterDataPipe
#register_parameter Torch::NN::Module
relu Torch::NN::Functional
#requires_grad! Torch::NN::Module
#requires_grad= Torch::Tensor
#reset Torch::Utils::Data::DataPipes::IterDataPipe
#reset_parameters Torch::NN::MultiheadAttention
#reset_parameters Torch::NN::BatchNorm
#reset_parameters Torch::NN::Embedding
#reset_parameters Torch::NN::RNNBase
#reset_parameters Torch::NN::Bilinear
#reset_parameters Torch::NN::Linear
#reset_parameters Torch::NN::ConvNd
#reset_parameters Torch::NN::EmbeddingBag
#reset_parameters Torch::NN::Transformer
#reset_parameters Torch::NN::LayerNorm
#reset_parameters Torch::NN::GroupNorm
#reset_running_stats Torch::NN::BatchNorm
#respond_to? Torch::NN::Module
#return_if_true Torch::Utils::Data::DataPipes::FilterIterDataPipe
#run_impl Torch::NN::GRU
save Torch
scaled_dot_product_attention Torch::NN::Functional
#share_memory Torch::NN::Module
#share_memory Torch::Optim::Adagrad
#size Torch::Utils::Data::DataLoader
#size Torch::Utils::Data::TensorDataset
#size Torch::Tensor
smooth_l1_loss Torch::NN::Functional
soft_margin_loss Torch::NN::Functional
softmax Torch::NN::Functional
softmin Torch::NN::Functional
softplus Torch::NN::Functional
softshrink Torch::NN::Functional
softsign Torch::NN::Functional
sparse! Torch::NN::Init
#state_dict Torch::Optim::Optimizer
#state_dict Torch::NN::Module
#step Torch::Optim::Adadelta
#step Torch::Optim::RMSprop
#step Torch::Optim::Adagrad
#step Torch::Optim::AdamW
#step Torch::Optim::Rprop
#step Torch::Optim::Adamax
#step Torch::Optim::ASGD
#step Torch::Optim::SGD
#step Torch::Optim::Adam
#step Torch::Optim::LRScheduler::LRScheduler
#stride Torch::NN::ConvNd
#stride Torch::Tensor
tanhshrink Torch::NN::Functional
tensor Torch
tensor? Torch
#to Torch::NN::Module
#to Torch::Tensor
#to_a Torch::Utils::Data::Subset
#to_a Torch::Tensor
#to_f Torch::Tensor
#to_i Torch::Tensor
#to_s Torch::Tensor
#train Torch::NN::Module
#training Torch::NN::Module
#transposed Torch::NN::ConvNd
triplet_margin_loss Torch::NN::Functional
#type Torch::NN::Module
#type Torch::Tensor
unfold Torch::NN::Functional
uniform! Torch::NN::Init
#width Torch::Inspector::Formatter
xavier_normal! Torch::NN::Init
xavier_uniform! Torch::NN::Init
#zero_grad Torch::Optim::Optimizer
#zero_grad Torch::NN::Module