Even though I have been in deep learning development for quite some time, I could not get used to the documentation as I should be I suppose since I am getting some hard times finding whether something I need exists in the library and so on… I assume one reason is that the usage addresses more REPL types of programmers and I am the opposite . So, for instance, while I was dealing with creating a DataBlock for MNIST set, I found that Normalize could have
mnist_stats by a total chance and could not coincide anything with that in the documentation. This kind of stuff also happens when I look for appropriate classes or functions for different kinds of tasks.
So, this is more like asking for an opinion and guidance rather than a question that firstly, whether the documentation fully covers everything that the library could do. Secondly, whether there are other ways to utilize the library’s potential than the documentation.
I’d like to mention that I am really amazed by how the library really makes constructing the steps needed in a regular PyTorch setup. Therefore, I would really appreciate any guidance. Thanks in advance!