Is Deformable Convolution supported in TensorRT?

Deformable Convlution: https://arxiv.org/abs/1703.06211

I don’t see it listed in Support Matrix(https://docs.nvidia.com/deeplearning/sdk/tensorrt-support-matrix/index.html), is it supported by TensorRT?

Thanks.

Unfortunately, Def Conv is not currently supported by TRT. We are always paying attention to community feedback. Thanks.

Would it be possible to write a custom plugin for deformable convolutions in TRT?

Dconv is always contained in recent solutions like detection and segmentation, and I convert this layer using custom layer. These solutions runs but the speedup ratio is not so good as usual convolution.The document says tensorrt can merge (conv+bn+relu) into one CBR layer and merge multiple 1x1 kernel CBR to one layer. I do think the speedup ratio can be increased by merging (dconv+bn+relu) and so on if you guys kindly update tensorrt because these part is not opened to public in github. Waiting for you update.