code: def fixed_padding(self, inputs, F, kernel_size, dilation):
      kernel_size_effective = kernel_size + (kernel_size - 1) * (
          dilation - 1
      )
      pad_total = kernel_size_effective - 1
      pad_beg = pad_total // 2
      pad_end = pad_total - pad_beg
      padded_inputs = F.pad(
          inputs,
          mode="constant",
          constant_value=0,
          pad_width=(0, 0, 0, 0, pad_beg, pad_end, pad_beg, pad_end),
      )
      return padded_inputs
  
imports: from mxnet.context import cpu
  import mxnet.gluon.nn
label_desc: Use image node_id 3 for calling the SeparableConv2d obj's underlying member method code with example usage: obj.fixed_padding(inputs, F, kernel_size, dilation) and returns: padded_inputs