Having runtime loadable / plugable operators might help with this. On Thu, Jul 11, 2019 at 10:20 AM kellen sunderland < kellen.sunderl...@gmail.com> wrote:
> Once it's compiled the forward / backward, etc kernel implementations are > hard coded to use cuDNN. In theory we could support raw CUDA in addition > to cuDNN but the additional CUDA kernel code would bloat the binary (it > targets several GPU types). > > On Thu, Jul 11, 2019 at 9:36 AM Chris Olivier <cjolivie...@gmail.com> > wrote: > >> Is there an environment variable or some other way to not use CUDNN in the >> anaconda distribution of mxnet? >> >
