code: def view_op_generator(
      self, g: NativeFunctionsViewGroup, backend_index: BackendIndex
  ) -> str:
      schema = str(g.view.func)
      populated_argument = generate_arg_extraction(g.view.func)
      functional_variant_call = generate_call_to_view_ops(
          g, backend_index
      )
      generated = f"""
        if (n->matches(torch::schema("aten::{schema}"))) {{
          return [](ProcessedNode* p_node) {{
            {populated_argument}
              p_node->Output(0) = {functional_variant_call};
          }};
        }}"""
      return generated
  
imports: import json
  import logging
  import math
  from typing import Dict, List, Optional, Sequence, Tuple, Union
  import torchgen.api.cpp
  from torchgen.context import native_function_manager
  from torchgen.model import Argument, BackendIndex, BaseTy, BaseType, FunctionSchema, NativeFunctionsGroup, NativeFunctionsViewGroup, OptionalType, SelfArgument, TensorOptionsArguments, Type
  from torchgen.static_runtime import config
label_desc: Use image node_id 4 for calling the GenOpDispatcher obj's underlying member method code with example usage: obj.view_op_generator(g, backend_index) and returns: generated