code: def __init__(self, weight, bias, skip_bias_add):
      super(LinearWithBiasSkip, self).__init__()
      self.bias = bias
      self.weight = weight
      self.skip_bias_add = skip_bias_add
  
imports: import os
  from contextlib import nullcontext
  from enum import Enum
  from typing import Callable, Dict, Optional, Type
  import onnx
  import torch
  import torch.nn
  import torch.nn.functional
  from nemo.utils import CastToFloat, CastToFloatAll, logging
label_desc: Use image node_id 1 to create a new LinearWithBiasSkip object from inherited base classes: nn with example: obj = LinearWithBiasSkip(weight, bias, skip_bias_add)