code: def _nostride_dilate(m, dilate):
      classname = m.__class__.__name__
      if classname.find("Conv") != -1:
          # the convolution with stride
          if m.stride == (2, 2):
              m.stride = (1, 1)
              if m.kernel_size == (3, 3):
                  m.dilation = (dilate // 2, dilate // 2)
                  m.padding = (dilate // 2, dilate // 2)
          # other convoluions
          else:
              if m.kernel_size == (3, 3):
                  m.dilation = (dilate, dilate)
                  m.padding = (dilate, dilate)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .None import seg_resnet
  from .None import seg_resnext
label_desc: Use image node_id 2 for calling the ResnetDilated obj's underlying member method code with example usage: obj._nostride_dilate(m, dilate) without return types