class_docstr: This version differs from the iOS 15 :py:class:`~.iOS15.image_resizing.crop_resize`
  by supporting ``pad_value`` as an additional parameter.
  
  Parameters
  ----------
  pad_value : const<T> (Optional, default=0.0)
      * If the box indexes go beyond the input boundary, the input image is padded with ``pad_value``.
      * Defaults to ``0``.
      * It is the same as ``extrapolation_value`` in `tf.image.crop_and_resize <https://www.tensorflow.org/api_docs/python/tf/image/crop_and_resize>`_.
  
  Attributes
  ----------
  T: fp16, fp32
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code: def default_inputs(self):
      return super().default_inputs() + DefaultInputs(pad_value=0.0)
  
file_path: coremltools/coremltools/converters/mil/mil/ops/defs/iOS16/image_resizing.py
imports: from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil.input_type import DefaultInputs, InputSpec, TensorInputType
  from coremltools.converters.mil.mil.ops.defs._op_reqs import register_op
  from coremltools.converters.mil.mil.ops.defs.iOS15.image_resizing import crop_resize
  from coremltools.converters.mil.mil.ops.defs.iOS15.image_resizing import resample
  from coremltools.converters.mil.mil.ops.defs.iOS15.image_resizing import upsample_bilinear
  from coremltools.converters.mil.mil.ops.defs.iOS16 import _IOS16_TARGET
label_desc: Use image node_id 1 for calling the crop_resize obj's underlying member method code with example usage: obj.default_inputs() and returns: unknown