JIT compilation? #70
Description
PyTorch has the ability to Just In Time compile stuff to make it run quicker and be more memory efficient. I'd tried to do this a while ago with @weak_script and @weak_module decorators, however they didn't seem to do much and I had trouble automatically generating the docs. I then found that PyTorch recommended that users not use these decorators. Since then PyTorch apparently introduced @torch.jit.script decorators, which are for user use and supposedly provide noticeable improvements in speed and memory usage.
Examples could be for compiling activation functions:
Whereas LUMIN's implementation of Swish is simply: x*torch.sigmoid(x). Other possibilities could be in LUMIN's loss function (e.g. WeightedMSE). I'm not sure how far one can take this; should all things related to PyTorch be JIT complied, or perhaps only operations on tensors?
A starting point would be test out the JIT compiled Swish against the current version, and then to try to find out more about what should be JITed, and what doesn't.