it gets even more fun when you need to support both mkl and standard numpy libraries, as well as several bit widths. but it can be done and goes to show that i

it gets even more fun when you need to support both mkl and standard numpy libraries, as well as several bit widths. but it can be done and goes to show that it's not going to be putting optimization experts out of work yet. reading about the state of autograd libraries in julia seems to indicate the same.