code: def dispatch_megatron(
      target: torch.nn.Module,
      adapter_name: str,
      lora_config,
      **kwargs: Any,
  ) -> Optional[torch.nn.Module]:
      new_module = None
  
      if isinstance(target, BaseTunerLayer):
          target_base_layer = target.get_base_layer()
      else:
          target_base_layer = target
  
      if lora_config.megatron_config:
          megatron_core = importlib.import_module(
              lora_config.megatron_core
          )
      else:
          megatron_core = None
  
      if megatron_core and isinstance(
          target_base_layer,
          (
              megatron_core.tensor_parallel.ColumnParallelLinear,
              megatron_core.tensor_parallel.RowParallelLinear,
          ),
      ):
          megatron_kwargs = kwargs.copy()
          megatron_config = lora_config.megatron_config
          if isinstance(megatron_config, dict):
              transformer_config_class = (
                  megatron_core.transformer.transformer_config.TransformerConfig
              )
              megatron_config = transformer_config_class(
                  **lora_config.megatron_config
              )
          megatron_kwargs["megatron_config"] = megatron_config
          if megatron_kwargs["fan_in_fan_out"]:
              warnings.warn(
                  "fan_in_fan_out is set to True but the target module is `ColumnParallelLinear` "
                  "or `RowParallelLinear`. "
                  "Setting fan_in_fan_out to False."
              )
              megatron_kwargs[
                  "fan_in_fan_out"
              ] = lora_config.fan_in_fan_out = False
          new_module = LoraParallelLinear(
              base_layer=target,
              adapter_name=adapter_name,
              backend=megatron_core.tensor_parallel,
              **megatron_kwargs,
          )
  
      return new_module
  
file_path: peft/src/peft/tuners/lora/tp_layer.py
imports: import importlib
  import warnings
  from typing import Any, Optional
  import torch
  import torch.nn
  import torch.nn.init
  from peft.tuners.tuners_utils import BaseTunerLayer
  from .layer import LoraLayer
label_desc: Use image node_id 1 for calling a global function with example usage: dispatch_megatron(target, adapter_name, lora_config) and returns: new_module