class_docstr: Convert from Numpy array to PyTorch Tensor.
code: def declare_state_and_memory(
      self, previous_state: State
  ) -> Tuple[State, Optional[AllocationQuery]]:
      new_dtype = ch.from_numpy(
          np.empty((), dtype=previous_state.dtype)
      ).dtype
      return (
          replace(previous_state, jit_mode=False, dtype=new_dtype),
          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 ToTensor obj's underlying member method code with example usage: obj.declare_state_and_memory(previous_state) and returns: replace,  None