code: def _fn(*args, dtype=None, check_default=False, inplace=False):
      if (
          check_default
          and all(
              not (ivy.is_array(i) or hasattr(i, "ivy_array"))
              for i in args
          )
          and not ivy.exists(dtype)
      ):
          ivy.utils.assertions.check_equal(
              ivy.default_float_dtype(),
              torch_frontend.get_default_dtype(),
              as_array=False,
          )
          ivy.utils.assertions.check_equal(
              ivy.default_int_dtype(), "int64", as_array=False
          )
      return args[0]
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_torch/test_func_wrapper.py
imports: from hypothesis import given, strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy.functional.frontends.torch.func_wrapper import inputs_to_ivy_arrays, outputs_to_frontend_arrays, to_ivy_arrays_and_back, numpy_to_torch_style_args
  from ivy.functional.frontends.torch.tensor import Tensor
  import ivy.functional.frontends.torch
label_desc: Use image node_id 1 for calling a global function with example usage: _fn() and returns: args