code: def _legacy_init(self, name, arr):
          
          warnings.warn(
              "\033[91mCalling initializer with init(str, NDArray) has been deprecated." \
              "please use init(mx.init.InitDesc(...), NDArray) instead.\033[0m",
              DeprecationWarning, stacklevel=3)
          if not isinstance(name, string_types):
              raise TypeError('name must be string')
          if not isinstance(arr, NDArray):
              raise TypeError('arr must be NDArray')
          if name.startswith('upsampling'):
              self._init_bilinear(name, arr)
          elif name.startswith('stn_loc') and name.endswith('weight'):
              self._init_zero(name, arr)
          elif name.startswith('stn_loc') and name.endswith('bias'):
              self._init_loc_bias(name, arr)
          elif name.endswith('bias'):
              self._init_bias(name, arr)
          elif name.endswith('gamma'):
              self._init_gamma(name, arr)
          elif name.endswith('beta'):
              self._init_beta(name, arr)
          elif name.endswith('weight'):
              self._init_weight(name, arr)
          elif name.endswith("moving_mean"):
              self._init_zero(name, arr)
          elif name.endswith("moving_var"):
              self._init_one(name, arr)
          elif name.endswith("moving_inv_var"):
              self._init_zero(name, arr)
          elif name.endswith("moving_avg"):
              self._init_zero(name, arr)
          elif name.endswith('min'):
              self._init_zero(name, arr)
          elif name.endswith('max'):
              self._init_one(name, arr)
          else:
              self._init_default(name, arr)
docs: Legacy initialization method.
  
          Parameters
          ----------
          name : str
              Name of corresponding NDArray.
  
          arr : NDArray
              NDArray to be initialized.