code: def reset_parameters(self):
      for m in self.modules():
          if isinstance(m, nn.Conv2d):
              fan_in = (
                  m.kernel_size[0] * m.kernel_size[1] * m.in_channels
              )
              truncated_normal_(
                  m.weight.data, mean=0.0, std=math.sqrt(1.0 / fan_in)
              )
          if isinstance(m, nn.BatchNorm2d):
              m.weight.data.fill_(1)
              m.bias.data.zero_()
  
file_path: nni/examples/nas/legacy/nasbench101/base_ops.py
imports: import math
  import torch.nn
label_desc: Use image node_id 2 for calling the ConvBnRelu obj's underlying member method code with example usage: obj.reset_parameters() without return types