We are currently implementing the operator using quantized::conv2d under the hood after unsqueezing the activation and weight tensors. That might be proving sub-optimal for certain input shapes.
Could you give us details about the input and weight dimensions and the parameters (kernel, stride, pad, dilation) to conv1d in your case?