code: def validate_smdistributed(
      instance_type,
      framework_name,
      framework_version,
      py_version,
      distribution,
      image_uri=None,
  ):
      """Check if smdistributed strategy is correctly invoked by the user.
  
      Currently, two strategies are supported: `dataparallel` or `modelparallel`.
      Validate if the user requested strategy is supported.
  
      Currently, only one strategy can be specified at a time. Validate if the user has requested
      more than one strategy simultaneously.
  
      Validate if the smdistributed dict arg is syntactically correct.
  
      Additionally, perform strategy-specific validations.
  
      Args:
          instance_type (str): A string representing the type of training instance selected.
          framework_name (str): A string representing the name of framework selected.
          framework_version (str): A string representing the framework version selected.
          py_version (str): A string representing the python version selected.
          distribution (dict): A dictionary with information to enable distributed training.
              (Defaults to None if distributed training is not enabled.) For example:
  
              .. code:: python
  
                  {
                      "smdistributed": {
                          "dataparallel": {
                              "enabled": True
                          }
                      }
                  }
          image_uri (str): A string representing a Docker image URI.
  
      Raises:
          ValueError: if distribution dictionary isn't correctly formatted or
              multiple strategies are requested simultaneously or
              an unsupported strategy is requested or
              strategy-specific inputs are incorrect/unsupported
      """
      if "smdistributed" not in distribution:
          # Distribution strategy other than smdistributed is selected
          return
      if is_pipeline_variable(instance_type) or is_pipeline_variable(
          image_uri
      ):
          # The instance_type is not available in compile time.
          # Rather, it's given in Pipeline execution time
          return
  
      # distribution contains smdistributed
      smdistributed = distribution["smdistributed"]
      if not isinstance(smdistributed, dict):
          raise ValueError(
              "smdistributed strategy requires a dictionary"
          )
  
      if len(smdistributed) > 1:
          # more than 1 smdistributed strategy requested by the user
          err_msg = (
              "Cannot use more than 1 smdistributed strategy. \n"
              "Choose one of the following supported strategies:"
              f"{SMDISTRIBUTED_SUPPORTED_STRATEGIES}"
          )
          raise ValueError(err_msg)
  
      # validate if smdistributed strategy is supported
      # currently this for loop essentially checks for only 1 key
      for strategy in smdistributed:
          if strategy not in SMDISTRIBUTED_SUPPORTED_STRATEGIES:
              err_msg = (
                  f"Invalid smdistributed strategy provided: {strategy} \n"
                  f"Supported strategies: {SMDISTRIBUTED_SUPPORTED_STRATEGIES}"
              )
              raise ValueError(err_msg)
  
      # smdataparallel-specific input validation
      if "dataparallel" in smdistributed:
          _validate_smdataparallel_args(
              instance_type,
              framework_name,
              framework_version,
              py_version,
              distribution,
              image_uri,
          )
  
imports: from __future__ import absolute_import
  import json
  import logging
  import os
  import re
  import time
  import shutil
  import tempfile
  from collections import namedtuple
  from typing import List, Optional, Union, Dict
  from packaging import version
  import sagemaker.image_uris
  from sagemaker.instance_group import InstanceGroup
  from sagemaker.s3_utils import s3_path_join
  from sagemaker.session_settings import SessionSettings
  import sagemaker.utils
  from sagemaker.workflow import is_pipeline_variable
  from sagemaker.deprecations import renamed_warning, renamed_kwargs
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.deprecations import deprecation_warn_base
label_desc: Use image node_id 13 for calling a global function with example usage: validate_smdistributed(instance_type, framework_name, framework_version, py_version, distribution, image_uri) without return types