A few questions for core team about plans on Caffe2 + PyTorch1 co-existence:


Are there plans for making Caffe2 kernels available to PyTorch? There are many vision-specific kernels in Caffe2, not currently available in PyTorch (like detectron etc).


Are there plans to make Caffe2 and PyTorch kernels the same thing sharing the same ATen base ops? Or they are going to be independent and only share the Tensor format?


Do Caffe2 and PyTorch have different optimizing compilers?


Are there benchmarks on performance of Caffe2 versus PyTorch (jit / nojit)?


Thanks a lot  Maybe some of these were already addressed at PyTorch conference 
@smth @apaszke @fmassa