A pretrained model has the following layer
nn.ConvTranspose2d(64, 64, kernel_size=2, 
      stride=2, padding=0, output_padding=0, groups=64, bias=False)

the model was converted to onnx.
During compilation using command:
./build/bin/model-compiler -g -model model.onnx -emit-bundle ./bundle -backend=CPU

an assertion fails:
  assert(filterDims.n % group == 0 && filterDims.h == kdim.height &&
         filterDims.w == kdim.width && filterDims.c == idim.c / group &&
         "Invalid filter dims");

for my case:
idim = (1, 64, 15, 20)
filterDims = (64, 1, 2, 2)
group = 64

so filterDims.n % group != 0 and filterDims.c != idim.c / group.
What wrong with the layer parameters and what the assertion checks?