class_docstr: View array using np.view or torch.view.
  
  Parameters
  ----------
  target_dtype: numpy.dtype or torch.dtype
      Target data type.
code: def __init__(self, target_dtype):
      super().__init__()
      self.target_dtype = target_dtype
  
imports: import torch
  import numpy
  from typing import Callable, Optional, Tuple
  from ..pipeline.allocation_query import AllocationQuery
  from ..pipeline.operation import Operation
  from ..pipeline.state import State
  from dataclasses import replace
label_desc: Use image node_id 1 to create a new View object from inherited base classes: Operation with example: obj = View(target_dtype)