Support 1D dilations for Conv1d layers

It seems that 1D dilations for torch's nn.Conv1d() layers is not currently supported:

location: ../../lib/Importer/ONNXModelLoader.cpp:557 message: Conv: dilations must be specified for 2 axes.

And from ONNXModelLoader.cpp, around the line 557:

  if (dict.count("dilations")) {
    std::vector<unsigned_t> dilations(2, 1);
    dilations = getShape<unsigned_t>(dict.at("dilations"));
    RETURN_ERR_IF_NOT(dilations.size() == 2,
                      "Conv: dilations must be specified for 2 axes.");
    RETURN_ERR_IF_NOT(dilations[1] == dilations[0],
                      "Conv: different dilation values along different axes "
                      "are not supported currently. values must be same.");
    dilation = dilations[0];
  }

Also, from that code, it looks like 3D convolutions are not supported either. So it looks like only 2D convolutions are supported. Is there a particular reason for this?

On the other hand, this (or similar) is what torch.onnx.export() produces for the torch.nn.Conv1d layer:

 %29 : Float(1, 256, 246) = onnx::Conv[dilations=[1], group=1, kernel_shape=[15], pads=[0, 0], strides=[4]](%28, %conv.weight, %conv.bias)

(see in particular dilations=[1]). Is there a quick workaround, maybe some dirty hack?