code: def view(self, groups: Sequence[NativeFunctionsViewGroup]) -> str:
      if not groups:
          return ""
      generated_type_variants = []
      for g in groups:
          with native_function_manager(g):
              assert is_supported(g)
              assert isinstance(g, NativeFunctionsViewGroup)
              generated_type_variant = self.view_op_test_case_generator(
                  g
              )
              generated_type_variants.append(generated_type_variant)
      return "\n".join(generated_type_variants)
  
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 2 for calling the GenOpTestCase obj's underlying member method code with example usage: obj.view(groups) and returns: str, str