Changelog

Bug fixes

Fixed bug that made RandomSampler(replacement = TRUE) to never take the last element in the dataset. (84861fa)
Fixed torch_topk and x$topk so the returned indexes are 1-based (#280)
Fixed a bug (#275) that would cause 1 - torch_tensor(1, device = "cuda") to fail because 1 was created in the CPU. (#279)
We now preserve names in the dataloader output (#286)
torch_narrow, Tensor$narrow() and Tensor$narrow_copy are now indexed starting at 1. (#294)
Tensor$is_leaf is now an active method. (#295)
Fixed bug when passing equations to torch_einsum. (#296)
Fixed nn_module_list() to correctly name added modules, otherwise they are not returned when doing state_dict() on it. (#300)
Fixed bug related to random number seeds when using in-place methods. (#303)
Fixed nn_batchnorm* so it returns the same results as PyTorch (#302)
Fixed a bug that made nn_module$parameter when there were shared parameters between layers. (#306)
Fixed $max and $min to return 1-based indexes. (#315)

Expanded the utils_data_default_collate to support converting R objects to torch tensors when needed. (#269)
Added an as.matrix method for torch Tensors. (#282)
By default we now truncate the output of print(totrch_tensor(1:40)) if it spans for more than 30 lines. This is useful for not spamming the console or taking very long to print when you print a very large tensor. (#283)
Added the Adadelta optimizer (@krzjoa #284)
Added support for GPU’s on Windows (#281)
Added the Adagrad optimizer (@krzjoa #289)
Added RMSprop optimizer (@krzjoa #290)
Added the Rprop optimizer (@krzjoa #297)
Added gradient clipping utilities (#299)
Added nnf_contrib_sparsemax and nn_contrib_sparsemax. (#309)
Added ASGD optimizer (@krzjoa #307)
Getters and setters for the number of threads used by torch (#311)