Well, I have a special BYOC **dense** kernel that deals with kernel layout different from default topi.nn implemenation.
The default implemenation has *weight Tensor with shape [out_dim, in_dim]*, while I need [in_dim, out_dim]. Two questions here: 1. How can I change the default behavior of the kernel input of dense kernel to assume transposed layout? I tried to modify include/tvm/topi/nn/dense.h and python/tvm/topi/nn/dense.py to reverse the layout, but it doesn't work. Where is the code controlling the default kernel layout for dense op? 2. If I don't want to change the default behavior but add an alternative solution targeting my BYOC target, what's the best way? Thanks in advance. --- [Visit Topic](https://discuss.tvm.apache.org/t/best-way-to-deal-with-kernel-layout/9576/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/164d596cf6d7219f95f308cdaf58bbe25abc9126d456d2aef6ae55626acac37b).
