![]() ![]() ![]() We have also added returntensorspt to return PyTorch tensors from the tokenizer (rather. With the popularity of autograd frameworks (such as Pytorch, TensorFlow, MXNet, etc. The forward () method of Sequential accepts any input and forwards it to the first module it contains. Alternatively, an OrderedDict of modules can be passed in. Modules will be added to it in the order they are passed in the constructor. Built with Sphinx using a theme provided by Read the Docs. PyTorch Use view() and permute() To Change Dimension Shape. I reviewed seven implementations of RCNN for text classification with PyTorch on GitHub and gitee and found that permute and transpose are the normal ways to convert the output of one layer to the input of a subsequent layer. pytorch / pytorch Public Notifications Fork 17.6k Star 63.4k Code 5k Pull requests 744 Actions Projects 28 Wiki Security Insights New issue torch.nn. class torch.nn.Sequential(arg: OrderedDictstr, Module) A sequential container. # include const char* shape_of(torch::Tensor const
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |