- [x] DCGAN - [ ] torch, autograd, nn, optim, trainer, dataloader docs - [ ] autograd docs - Variable - [ ] Usage - [ ] Member functions - Function - [ ] Usage - [ ] Member functions - [ ] Trainer API - [ ] DataLoader API - [x] optim docs - [x] API Reference - [x] Basic usage - [x] nn module docs - [x] Container - [x] basic usage - [x] member functions - [x] Module - [x] Member functions - [ ] CrossMapLRN2d, ReflectionPad2d, ReplicationPad2d, ReflectionPad3d, ReplicationPad3d - [x] Sequential - [x] Conv1d, Conv2d, ConvTranspose2d, Conv3d, ConvTranspose3d, Dropout, Dropout2d - [x] Dropout3d, Linear, MaxPool1d, MaxPool2d, MaxPool3d, MaxUnpool2d, MaxUnpool3d - [x] AvgPool2d, AvgPool3d, FractionalMaxPool2d, LPPool2d, RNN, LSTM, GRU, RNNCell - [x] LSTMCell, GRUCell, Embedding, BatchNorm1d, BatchNorm2d, BatchNorm3d, Activations - [x] nn loss docs - [x] L1Loss, NLLLoss, NLLLoss2d, KLDivLoss, MSELoss, BCELoss, MarginRankingLoss, - [x] HingeEmbeddingLoss, MultiLabelMarginLoss, SmoothL1Loss, SoftMarginLoss - [x] CrossEntropyLoss, MultiLabelSoftMarginLoss, CosineEmbeddingLoss, MultiMarginLoss - [ ] improved RNN tutorial - [x] ConvTranspose tests (bias/nobias check) - [x] rebuild docs - [x] build binaries and run tests
