class_docstr: View array using np.view or torch.view.
  
  Parameters
  ----------
  target_dtype: numpy.dtype or torch.dtype
      Target data type.
code: def generate_code(self) -> Callable:
      def convert(inp, dst):
          return inp.view(self.target_dtype)
  
      convert.is_parallel = True
  
      return convert
  
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 2 for calling the View obj's underlying member method code with example usage: obj.generate_code() and returns: convert, inp