code: def __init__(self, model, signature):
      self.model = model
      self.signature = signature
  
imports: import atexit
  import importlib
  import logging
  import os
  import shutil
  import tempfile
  import warnings
  from typing import Any, Dict, NamedTuple, Optional
  import numpy
  import pandas
  import yaml
  from packaging.version import Version
  import mlflow
  from mlflow import pyfunc
  from mlflow.data.code_dataset_source import CodeDatasetSource
  from mlflow.data.numpy_dataset import from_numpy
  from mlflow.data.tensorflow_dataset import from_tensorflow
  from mlflow.exceptions import INVALID_PARAMETER_VALUE, MlflowException
  from mlflow.models import Model, ModelInputExample, ModelSignature, infer_signature
  from mlflow.models.model import MLMODEL_FILE_NAME
  from mlflow.models.signature import _infer_signature_from_input_example
  from mlflow.models.utils import _save_example
  from mlflow.tensorflow.callback import MLflowCallback
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.tracking.context import registry
  from mlflow.types.schema import TensorSpec
  from mlflow.utils import is_iterator
  from mlflow.utils.autologging_utils import PatchFunction, autologging_integration, batch_metrics_logger, get_autologging_config, log_fn_args_as_params, picklable_exception_safe_function, resolve_input_example_and_signature, safe_patch
  from mlflow.utils.autologging_utils.metrics_queue import add_to_metrics_queue, flush_metrics_queue
  from mlflow.utils.docstring_utils import LOG_MODEL_PARAM_DOCS, format_docstring
  from mlflow.utils.environment import _CONDA_ENV_FILE_NAME, _CONSTRAINTS_FILE_NAME, _PYTHON_ENV_FILE_NAME, _REQUIREMENTS_FILE_NAME, _mlflow_conda_env, _process_conda_env, _process_pip_requirements, _PythonEnv, _validate_env_arguments
  from mlflow.utils.file_utils import get_total_file_size, write_to
  from mlflow.utils.model_utils import _add_code_from_conf_to_system_path, _get_flavor_configuration, _validate_and_copy_code_paths, _validate_and_prepare_target_save_path
  from mlflow.utils.requirements_utils import _get_pinned_requirement
  from mlflow.utils.time import get_current_time_millis
label_desc: Use image node_id 1 to create a new _TF2ModuleWrapper object  with example: obj = _TF2ModuleWrapper(model, signature)