Also got an error at line `assert dshape[1] % cfactor == 0` of *_pack_weight* with a MobileNetV2-based NN made with PyTorch. When playing with *start_name* and *stop_name* and their indexes, it appears that some layers have Tensor sizes of [a, **1**, b, c], causing the assert to fail. Those layers seem to be the bottleneck layers' middle convolution layers...
Would implementing a `assert dshape[1] % cfactor != 0` case really be the only way to fix this issue? Has anyone else tried MobileNetV2 with a VTA *graph_pack* by any chance? Thanks. --- [Visit Topic](https://discuss.tvm.apache.org/t/vta-questions-about-vta-packed-format/1878/8) 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/4ba93fb4841d7a833d366fafbf6da2de16e7857123a47e579d0300edfc90a79a).
