I am trying to import an onnx model from pytorch, which has a conv layer, that takes tensors for both weights and inputs. Tensorrt fails to convert the model,
ERROR: /home/erisuser/p4sw/sw/gpgpu/MachineLearning/DIT/release/5.0/parsers/onnxOpenSource/builtin_op_importers.cpp:517 In function importConv:  Assertion failed: inputs.at(1).is_weights() failed to parse onnx file
Is this a problem with onnx importer, or Tensorrt?
If Tensorrt does not support such conv layers, is there an example of a custom layer that does this?