code: def _reshape_weight_to_matrix(
      self, weight: torch.Tensor
  ) -> torch.Tensor:
      # Precondition
      assert weight.ndim > 1
  
      if self.dim != 0:
          # permute dim to front
          weight = weight.permute(
              self.dim,
              *(d for d in range(weight.dim()) if d != self.dim),
          )
  
      return weight.flatten(1)
  
imports: from enum import Enum, auto
  import torch
  from torch import Tensor
  from ..utils import parametrize
  from ..modules import Module
  from ..None import functional
  from typing import Optional
label_desc: Use image node_id 2 for calling the _SpectralNorm obj's underlying member method code with example usage: obj._reshape_weight_to_matrix(weight) and returns: weight