code: def get_initialize_func(**kwargs):
      method = kwargs["method"]
      random_state = kwargs.get("random_state", None)
  
      if method == "zeros":
          return lambda shape: torch.zeros(shape)
      elif method == "ones":
          return lambda shape: torch.ones(shape)
      elif method == "random":
          if random_state is not None:
              generator = torch.Generator().manual_seed(random_state)
              return lambda shape: torch.randn(
                  shape, generator=generator
              )
          return lambda shape: torch.randn(shape)
      elif method == "random_uniform":
          if random_state is not None:
              generator = torch.Generator().manual_seed(random_state)
              return lambda shape: torch.rand(
                  shape, generator=generator
              )
          return lambda shape: torch.rand(shape)
      else:
          raise NotImplementedError(
              f"Unknown initialization method: {method}"
          )
  
imports: import torch
label_desc: Use image node_id 1 for calling a global function with example usage: get_initialize_func() and returns: function, function, function, function, function, function