code: def channel_dependency_breakpoint(node: torch.fx.Node):
      """
      Check if this operation will break the channel dependency.
  
      Parameters
      ----------
      node : torch.fx.Node
  
      Returns
      -------
      bool
          If this operation will break the channel dependency.
      """
      if len(node.all_input_nodes) == 0:
          return True
  
      def find_parent(node: torch.fx.Node):
          par_arg = node.all_input_nodes[0]
  
          while isinstance(par_arg, tuple):
              par_arg = par_arg[0]
          return par_arg
  
      def get_shape(node):
          meta = node.meta.get("tensor_meta", None)
          if isinstance(meta, TensorMetadata):
              return meta[0]
          elif isinstance(meta, tuple):
              return meta[0][0]
          return None
  
      in_shape = get_shape(find_parent(node))
      out_shape = get_shape(node)
      if (
          not in_shape
          or not out_shape
          or len(in_shape) <= 1
          or len(out_shape) <= 1
      ):
          return True
      in_channel = in_shape[1]
      out_channel = out_shape[1]
      # TODO: add more rules here
      return in_channel != out_channel
  
file_path: nni/nni/compression/speedup/dependency.py
imports: import logging
  import operator
  from copy import deepcopy
  from typing import Any, Dict, List, Set
  from uuid import uuid4
  import numpy
  import torch
  import torch.fx
  from torch.fx.passes.shape_prop import TensorMetadata
  from nni.compression.base.config import trans_legacy_config_list, select_modules_by_config
label_desc: Use image node_id 3 for calling a global function with example usage: channel_dependency_breakpoint(node) and returns: unknown, True, par_arg, None, True, meta, meta