Does TensorRT_RTX support "MMCVModulatedDeformConv2d" ?

Hi all,

Currently I have an onnx model file
However, it contains one operator which is from mmcv as following:

After executing ./tensorrt_rtx --onnx=srx2_fp32.onnx --saveEngine=srx2_RTX11_fp32.trt --computeCapabilities="89"

It shows the errors like:
Op type MMCVModulatedDeformConv2d is not supported in TensorRT-RTX

If I manually modify "MMCVModulatedDeformConv2d" into "DeformConv", which is supported by onnxruntime since opset=19, it will show the following errors:

[11/05/2025-03:26:33] [V] [TRT] Parsing node: DeformConv_1801 [DeformConv]
[11/05/2025-03:26:33] [V] [TRT] Searching for input: x.47
[11/05/2025-03:26:33] [V] [TRT] Searching for input: offset
[11/05/2025-03:26:33] [V] [TRT] Searching for input: mask
[11/05/2025-03:26:33] [V] [TRT] Searching for input: model.generator.deform_align.backward_1.weight
[11/05/2025-03:26:33] [V] [TRT] Searching for input: model.generator.deform_align.backward_1.bias
[11/05/2025-03:26:33] [V] [TRT] DeformConv_1801 [DeformConv] inputs: [x.47 -> (1, 96, 120, 160)[FLOAT]], [offset -> (1, 288, 120, 160)[FLOAT]], [mask -> (1, 144, 120, 160)[FLOAT]], [model.generator.deform_align.backward_1.weight -> (48, 96, 3, 3)[FLOAT]], [model.generator.deform_align.backward_1.bias -> (48)[FLOAT]],

I build the custom operators as .so file and add it into onnxruntime sessionOptions and feed into InferenceSession.
And then I can infer the onnx model.

Does TensorRT_RTX support this or is there any methods to handle this?

Thanks

Start by reproducing the shown TensorRT-RTX command with the provided ONNX model and inspect the parser output for MMCVModulatedDeformConv2d and the manually renamed DeformConv node. Compare the operator inputs and the custom .so setup used with ONNX Runtime; done means establishing whether TensorRT-RTX supports this operator or documenting a viable handling method.