class_docstr: An ops handler where all IR values are SymPy expressions
  
  When a value cannot be represented as a SymPy expression, the method is
  either not defined, or returns NotImplemented
code: def to_dtype(
      value: Any,
      dtype: torch.dtype,
      src_dtype: Optional[torch.dtype] = None,
  ) -> Union[int, TypedExpr]:
      if isinstance(value.expr, (sympy.Integer, sympy.Float)):
          return SymPyOps.constant(value.expr, dtype)
      elif is_integer_dtype(dtype) and is_integer_dtype(value.dtype):
          return SymPyOps.index_expr(value.expr, dtype)
      else:
          # TODO: Inductor doesn't handle floating point in sympy expressions well at the moment
          return NotImplemented
  
imports: import itertools
  from dataclasses import dataclass
  from typing import Any, Callable, Dict, Literal, Optional, overload, Tuple, Union
  import sympy
  from typing_extensions import TypeAlias
  import torch
  from torch._prims_common import is_boolean_dtype, is_integer_dtype
  from torch.utils._sympy.functions import FloorDiv, ModularIndexing, Where
label_desc: Use image node_id 4 for calling the SymPyOps obj's underlying member method code with example usage: obj.to_dtype(value, dtype, src_dtype) and returns: SymPyOps, SymPyOps, NotImplemented