docstr: GroupMaskConflict fix the mask conflict between the layers that
  has group dependecy with each other.
  
  Parameters
  ----------
  masks : dict
      a dict object that stores the masks
  model : torch.nn.Module
      model to fix the mask conflict
  dummy_input : torch.Tensor
      input example to trace the model
  traced : torch._C.torch.jit.TopLevelTracedModule
      the traced model of the target model, is this parameter is not None,
      we donnot use the model and dummpy_input to get the trace graph.
docstr_tok: ["GroupMaskConflict","fix","the","mask","conflict","between","the","layers","that","has","group","dependecy","with","each","other",".","Parameters","--","--","--","--","--","masks",":","dict","a","dict","object","that","stores","the","masks","model",":","torch.nn.Module","model","to","fix","the","mask","conflict","dummy_input",":","torch.Tensor","input","example","to","trace","the","model","traced",":","torch._C.torch.jit.TopLevelTracedModule","the","traced","model","of","the","target","model",",","is","this","parameter","is","not","None",",","we","donnot","use","the","model","and","dummpy_input","to","get","the","trace","graph","."]
code: def __init__(self, masks, model=None, dummy_input=None, traced=None):
      """
      GroupMaskConflict fix the mask conflict between the layers that
      has group dependecy with each other.
  
      Parameters
      ----------
      masks : dict
          a dict object that stores the masks
      model : torch.nn.Module
          model to fix the mask conflict
      dummy_input : torch.Tensor
          input example to trace the model
      traced : torch._C.torch.jit.TopLevelTracedModule
          the traced model of the target model, is this parameter is not None,
          we donnot use the model and dummpy_input to get the trace graph.
      """
      super(GroupMaskConflict, self).__init__(
          masks, model, dummy_input, traced
      )
  
imports: import os
  import logging
  import torch
  import numpy
  from .shape_dependency import ChannelDependency, GroupDependency, CatPaddingDependency, InputChannelDependency
  from .utils import get_module_by_name
label_desc: Use image node_id 1 to create a new GroupMaskConflict object from inherited base classes: MaskFix with example: obj = GroupMaskConflict(masks, model, dummy_input, traced)