Try to use mxnet dcn, it turns out that tvm & mxnet dcn have the same results.
Codes can be find
https://github.com/irvingzhang0512/tvm_tests/blob/master/dcn/dcn_tests.py
```
deformable_conv2d is not optimized for this platform.
pytorch torchvision dcn vs tvm relay dcn 10.221999
mmcv dcn vs to
Still get different results.
I'm not familiar with relay, correct me if i make rookie mistakes. In my sample
code, `data` is input, `bias` & `weight` are params, so `m.set_input('data',
...)` is enough.
PS: I use `offset = relay.var("bias", ...)` instead of `offset =
relay.var("offset", ...)
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 f
