class_docstr: View array using np.view or torch.view.
  
  Parameters
  ----------
  target_dtype: numpy.dtype or torch.dtype
      Target data type.
code: def declare_state_and_memory(
      self, previous_state: State
  ) -> Tuple[State, Optional[AllocationQuery]]:
      return (
          replace(
              previous_state, dtype=self.target_dtype, jit_mode=False
          ),
          None,
      )
  
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 3 for calling the View obj's underlying member method code with example usage: obj.declare_state_and_memory(previous_state) and returns: replace,  None