class_docstr: A decorator for `nn.Linear` module making it PackNet compatible.
class_docstr_tok: ["A","decorator","for","`","nn.Linear","`","module","making","it","PackNet","compatible","."]
code: def __init__(
      self, wrappee: Union[nn.Conv1d, nn.Conv2d, nn.Conv3d]
  ) -> None:
      super().__init__(wrappee)
  
imports: import typing
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn import functional
  from abc import ABC, abstractmethod
  from enum import Enum
  from avalanche.core import BaseSGDPlugin, Template
  from avalanche.models.dynamic_modules import MultiTaskModule
  from avalanche.models.simple_mlp import SimpleMLP
  from typing import Union
  from avalanche.training.templates.base_sgd import BaseSGDTemplate
label_desc: Use image node_id 1 to create a new _PnConvNd object from inherited base classes: WeightAndBiasPackNetModule with example: obj = _PnConvNd(wrappee)