code: def gen_inplace_or_view_type_env(
      fn: NativeFunctionWithDifferentiabilityInfo,
  ) -> Dict[str, List[str]]:
      definition = inplace_or_view_method_definition(fn)
      registration = inplace_or_view_method_registration(fn)
  
      return {
          "ops_headers": (
              [f"#include <ATen/ops/{fn.func.root_name}_ops.h>"]
              if definition is not None
              else []
          ),
          "inplace_or_view_method_definitions": [definition]
          if definition is not None
          else [],
          "inplace_or_view_wrapper_registrations": [registration]
          if registration is not None
          else [],
      }
  
imports: from typing import Dict, List, Optional, Sequence, Tuple
  from torchgen.api import cpp
  from torchgen.api.autograd import dispatch_strategy, gen_differentiable_outputs, NativeFunctionWithDifferentiabilityInfo
  from torchgen.api.types import BaseCType, Binding, boolT, ConstRefCType, CType, DispatcherSignature, intArrayRefT, longT, OptionalCType, symIntArrayRefT, SymIntT, tensorT
  from torchgen.code_template import CodeTemplate
  from torchgen.context import with_native_function
  from torchgen.model import NativeFunction, SchemaKind, SelfArgument, TensorOptionsArguments, Type
  from torchgen.utils import FileManager
  from .context import with_native_function_with_differentiability_info
  from .gen_trace_type import get_return_value, MANUAL_AUTOGRAD, tie_return_values, type_wrapper_name
label_desc: Use image node_id 18 for calling a global function with example usage: gen_inplace_or_view_type_env(fn) and returns: dict