All modules for which code is available

• torch
• torch._C
• torch._C._nn
• torch._jit_internal
• torch._tensor_str
• torch._utils
• torch.autograd
• torch.autograd.anomaly_mode
• torch.autograd.function
• torch.autograd.grad_mode
• torch.autograd.gradcheck
• torch.autograd.profiler
• torch.cuda
• torch.cuda.comm
• torch.cuda.nvtx
• torch.cuda.random
• torch.cuda.streams
• torch.distributed.deprecated
• torch.distributions.bernoulli
• torch.distributions.beta
• torch.distributions.binomial
• torch.distributions.categorical
• torch.distributions.cauchy
• torch.distributions.chi2
• torch.distributions.constraint_registry
• torch.distributions.constraints
• torch.distributions.dirichlet
• torch.distributions.distribution
• torch.distributions.exp_family
• torch.distributions.exponential
• torch.distributions.fishersnedecor
• torch.distributions.gamma
• torch.distributions.geometric
• torch.distributions.gumbel
• torch.distributions.half_cauchy
• torch.distributions.half_normal
• torch.distributions.independent
• torch.distributions.kl
• torch.distributions.laplace
• torch.distributions.log_normal
• torch.distributions.lowrank_multivariate_normal
• torch.distributions.multinomial
• torch.distributions.multivariate_normal
• torch.distributions.negative_binomial
• torch.distributions.normal
• torch.distributions.one_hot_categorical
• torch.distributions.pareto
• torch.distributions.poisson
• torch.distributions.relaxed_bernoulli
• torch.distributions.relaxed_categorical
• torch.distributions.studentT
• torch.distributions.transformed_distribution
• torch.distributions.transforms
• torch.distributions.uniform
• torch.distributions.weibull
• torch.functional
• torch.hub
• torch.jit
• torch.multiprocessing
• torch.multiprocessing.spawn
• torch.nn.functional
• torch.nn.init
• torch.nn.modules.activation
• torch.nn.modules.adaptive
• torch.nn.modules.batchnorm
• torch.nn.modules.container
• torch.nn.modules.conv
• torch.nn.modules.distance
• torch.nn.modules.dropout
• torch.nn.modules.fold
• torch.nn.modules.instancenorm
• torch.nn.modules.linear
• torch.nn.modules.loss
• torch.nn.modules.module
• torch.nn.modules.normalization
• torch.nn.modules.padding
• torch.nn.modules.pixelshuffle
• torch.nn.modules.pooling
• torch.nn.modules.rnn
• torch.nn.modules.sparse
• torch.nn.modules.upsampling
• torch.nn.parallel.data_parallel
• torch.nn.parallel.distributed
• torch.nn.parallel.distributed_cpu
• torch.nn.parameter
• torch.nn.utils.clip_grad
• torch.nn.utils.convert_parameters
• torch.nn.utils.rnn
• torch.nn.utils.spectral_norm
• torch.nn.utils.weight_norm
• torch.onnx
• torch.optim.adadelta
• torch.optim.adagrad
• torch.optim.adam
• torch.optim.adamax
• torch.optim.asgd
• torch.optim.lbfgs
• torch.optim.lr_scheduler
• torch.optim.optimizer
• torch.optim.rmsprop
• torch.optim.rprop
• torch.optim.sgd
• torch.optim.sparse_adam
• torch.random
• torch.serialization
• torch.sparse
• torch.storage
• torch.tensor
• torch.utils.checkpoint
• torch.utils.cpp_extension
• torch.utils.data.dataloader
• torch.utils.data.dataset
• torch.utils.data.distributed
• torch.utils.data.sampler
• torch.utils.model_zoo