code: def __torch_dispatch__(cls, func, types, args=(), kwargs=None):
      def unwrap(t):
          if isinstance(t, torch.Tensor):
              with no_dispatch():
                  return t.view(torch.int16)
          return t
  
      args = tree_map(unwrap, args)
      kwargs = tree_map(unwrap, kwargs)
  
      with no_dispatch():
          out = func(*args, **kwargs)
  
      def wrap(t):
          if isinstance(t, torch.Tensor):
              with no_dispatch():
                  return t.view(torch.bits16)
          return t
  
      out = tree_map(wrap, out)
      return out
  
file_path: pytorch/test/quantization/core/experimental/test_bits.py
imports: import torch
  from torch.testing._internal.common_device_type import instantiate_device_type_tests
  from torch.testing._internal.common_utils import run_tests, TestCase, skipIfRocm
  from torch.utils._mode_utils import no_dispatch
  from torch.utils._pytree import tree_map
  import itertools
label_desc: Use image node_id 3 for calling the Int16Tensor obj's underlying member method code with example usage: obj.__torch_dispatch__(cls, func, types, args, kwargs) and returns: out, t, t, t, t