vadimkantorov:

What does we decided to marry PyTorch and Caffe2 which gives the production-level readiness for PyTorch mean exactly?


I read on github, that there is a new backend called C10 in progress which combines features and backends from ATen and Caffe2. This backend should be a more generic one which means that adding new tensor types and similar stuff will be easier (the actual discussion was about introducing complex tensors).



 vadimkantorov:

For torch.script - yes, from the blog post it is clear it helps to optimize PyTorch (or imported models), but does it aim a larger place in the ecosystem (maybe even separated from PyTorch itself?)?


For me it reads like this will become a larger ecosystem (together with everything else from the jit-part) and the traced models will will be python- (and thus also pytorch-independent) but still have strong backend-dependencies (which will most likely be C10 at that time).