I'm trying to convert torchvision dcn to tvm dcn. However, with the same inputs, i couldn't get same output from torchvision dcn and tvm dcn.
I tried 2 versions of pytorch dcn implementation, torchvision & mmcv, get the sample outputs with the same inputs(data, offset, weight). But, results from `relay.nn.deformable_conv2d` and `torchvision.ops.DeformConv2d` are not the same. test codes can be find [here](https://github.com/irvingzhang0512/tvm_tests/blob/master/dcn/dcn_tests.py). Results of the above test codes are ``` deformable_conv2d is not optimized for this platform. pytorch torchvision res & tvm relay res 10.931563 mmcv dcn vs torchvision dcn 0.0 ``` --- [Visit Topic](https://discuss.tvm.ai/t/deformable-conv-implementations-differences-between-pytorch-torhcvision-tvm/7702/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/ad585682ce60a85c76c770f7f1d3e2416d58036c38ac0469a0d7327cdfb8f77a).
