class_docstr: SimpleInferer is the normal inference method that run model forward() directly.
  Usage example can be found in the :py:class:`monai.inferers.Inferer` base class.
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code: def __init__(self) -> None:
      Inferer.__init__(self)
  
imports: from __future__ import annotations
  import warnings
  from abc import ABC, abstractmethod
  from collections.abc import Callable, Iterable, Iterator, Mapping, Sequence
  from pydoc import locate
  from typing import Any
  import torch
  import torch.nn
  from monai.apps.utils import get_logger
  from monai.data.meta_tensor import MetaTensor
  from monai.data.thread_buffer import ThreadBuffer
  from monai.inferers.merger import AvgMerger, Merger
  from monai.inferers.splitter import Splitter
  from monai.inferers.utils import compute_importance_map, sliding_window_inference
  from monai.utils import BlendMode, PatchKeys, PytorchPadMode, ensure_tuple, optional_import
  from monai.visualize import CAM, GradCAM, GradCAMpp
label_desc: Use image node_id 1 to create a new SimpleInferer object from inherited base classes: Inferer with example: obj = SimpleInferer()