code: def build_module(
      spec_or_module: Union[ModuleSpec, type], *args, **kwargs
  ):
      # If the passed `spec_or_module` is
      # a `Function`, then return it as it is
      # NOTE: to support an already initialized module add the following condition
      # `or isinstance(spec_or_module, torch.nn.Module)` to the following if check
      if isinstance(spec_or_module, types.FunctionType):
          return spec_or_module
  
      # If the passed `spec_or_module` is actually a spec (instance of
      # `ModuleSpec`) and it specifies a `Function` using its `module`
      # field, return the `Function` as it is
      if isinstance(spec_or_module, ModuleSpec) and isinstance(
          spec_or_module.module, types.FunctionType
      ):
          return spec_or_module.module
  
      # Check if a module class is provided as a spec or if the module path
      # itself is a class
      if isinstance(spec_or_module, type):
          module = spec_or_module
      elif hasattr(spec_or_module, "module") and isinstance(
          spec_or_module.module, type
      ):
          module = spec_or_module.module
      else:
          # Otherwise, dynamically import the module from the module path
          module = import_module(spec_or_module.module)
  
      # If the imported module is actually a `Function` return it as it is
      if isinstance(module, types.FunctionType):
          return module
  
      # Finally return the initialized module with params from the spec as well
      # as those passed as **kwargs from the code
  
      # Add the `submodules` argument to the module init call if it exists in the
      # spec.
      if (
          hasattr(spec_or_module, "submodules")
          and spec_or_module.submodules is not None
      ):
          kwargs["submodules"] = spec_or_module.submodules
  
      try:
          return module(
              *args,
              **spec_or_module.params
              if hasattr(spec_or_module, "params")
              else {},
              **kwargs,
          )
      except Exception as e:
          # improve the error message since we hide the module name in the line above
          import sys
  
          tb = sys.exc_info()[2]
          raise type(e)(
              f"{str(e)} when instantiating {module.__name__}"
          ).with_traceback(sys.exc_info()[2])
  
file_path: megatron-lm/megatron/core/transformer/spec_utils.py
imports: import types
  from dataclasses import dataclass, field
  from typing import Tuple, Union
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: build_module(spec_or_module) and returns: spec_or_module, spec_or_module, module, module