code: def fixed_padding(inputs, kernel_size, rate):
      kernel_size_effective = kernel_size + (kernel_size - 1) * (
          rate - 1
      )
      pad_total = kernel_size_effective - 1
      pad_beg = pad_total // 2
      pad_end = pad_total - pad_beg
      padded_inputs = F.pad(
          inputs, (pad_beg, pad_end, pad_beg, pad_end)
      )
      return padded_inputs
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from collections import OrderedDict
  import torch.utils.model_zoo
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 1 for calling a global function with example usage: fixed_padding(inputs, kernel_size, rate) and returns: padded_inputs