code: def create_view_copy_from_view_derivative(
      self, g: NativeFunctionsViewGroup
  ) -> Optional["DifferentiabilityInfo"]:
      if g.view_copy is None:
          return None
      f = g.view_copy
  
      name_split_by_period = self.name.split(".", maxsplit=2)
      # Append a "_copy" to the base name of the operator (but keep the overload name the same)
      view_copy_name = f"{name_split_by_period[0]}_copy." + ".".join(
          name_split_by_period[1:]
      )
      view_copy_op_name = None if self.op is None else f"{self.op}_copy"
  
      return DifferentiabilityInfo(
          # Use the "_copy" version of name/func/op
          name=view_copy_name,
          func=f,
          op=view_copy_op_name,
          # But keep all derivative info the same
          derivatives=self.derivatives,
          forward_derivatives=self.forward_derivatives,
          all_saved_inputs=self.all_saved_inputs,
          all_saved_outputs=self.all_saved_outputs,
          available_named_gradients=self.available_named_gradients,
          used_named_gradients=self.used_named_gradients,
          args_with_derivatives=self.args_with_derivatives,
          non_differentiable_arg_names=self.non_differentiable_arg_names,
          output_differentiability=self.output_differentiability,
          output_differentiability_conditions=self.output_differentiability_conditions,
      )
  
imports: import re
  from dataclasses import dataclass
  from typing import cast, Dict, List, Match, Optional, Sequence, Set, Tuple
  from torchgen import local
  from torchgen.api import cpp
  from torchgen.api.types import BaseCType, Binding, NamedCType, tensorListT
  from torchgen.model import BaseTy, BaseType, FunctionSchema, ListType, NativeFunction, NativeFunctionsViewGroup, SchemaKind, Type
  from torchgen.utils import IDENT_REGEX
label_desc: Use image node_id 2 for calling the DifferentiabilityInfo obj's underlying member method code with example usage: obj.create_view_copy_from_view_derivative(g) and returns: DifferentiabilityInfo, None