This implementaion is inherited from Deformable-ConvNets-V2 (many thanks to the authors).
python test.py (tested with Pytorch 1.7.0)
See test.py for example usage, including: forward pass, gradient check, and timing.
Comparison with nn.Conv2d on a 16x128x128x128 input
Conv2d(in_channels=128, out_channels=128, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True)
Average time over 10 runs: Pytorch (μs): 5800.2046
Average time over 10 runs: deformconv (μs): 20601.4746