class_docstr: 2D images, axcodes specifications are ignored when
  loading. (Resampling to new pixdims is currently not supported).
class_docstr_tok: ["2D","images",",","axcodes","specifications","are","ignored","when","loading",".","(","Resampling","to","new","pixdims","is","currently","not","supported",")","."]
docstr: data type property of the input images.
  
  :return: a tuple of input image data types
      ``len(self.dtype) == len(self.file_path)``
code: def dtype(self):
      """
      data type property of the input images.
  
      :return: a tuple of input image data types
          ``len(self.dtype) == len(self.file_path)``
      """
      if not self._dtype:
          self._dtype = super(SpatialImage2D, self).dtype
          self._dtype = tuple(
              dtype_casting(dtype, interp_order)
              for dtype, interp_order in zip(
                  self._dtype, self.interp_order
              )
          )
      return self._dtype
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from abc import ABCMeta, abstractmethod
  import nibabel
  import numpy
  import tensorflow
  from six import with_metaclass, string_types
  import niftynet.io.misc_io
  from niftynet.io.image_loader import load_image_obj
  from niftynet.io.misc_io import resolve_file_name, dtype_casting
  from niftynet.utilities.niftynet_global_config import NiftyNetGlobalConfig
label_desc: Use image node_id 11 for calling the SpatialImage2D obj's underlying member method code with example usage: obj.dtype() and returns: self