code: def test_embedding_bag_half(self, device, dtypes):
      self._test_EmbeddingBag(
          device,
          "sum",
          True,
          wdtype=torch.float16,
          dtype=dtypes[0],
          odtype=dtypes[1],
          test_backward=True,
      )
  
imports: import unittest
  import random
  import itertools
  from itertools import product
  import torch
  from torch.testing._internal.common_utils import run_tests, set_default_dtype, skipIfTorchDynamo, instantiate_parametrized_tests, parametrize, _assertGradAndGradgradChecks, IS_JETSON
  from torch.testing._internal.common_cuda import TEST_CUDA
  from torch.testing._internal.common_nn import NNTestCase
  from torch.testing._internal.common_device_type import onlyNativeDeviceTypes, dtypes, instantiate_device_type_tests, dtypesIfCUDA, onlyCUDA, TEST_WITH_ROCM, skipCUDAIf, skipMeta
  import torch.nn.functional
  import torch.nn
  from torch.testing._internal.common_utils import dtype2prec_DONTUSE
label_desc: Use image node_id 24 for calling the TestEmbeddingNNDeviceType obj's underlying member method code with example usage: obj.test_embedding_bag_half(device, dtypes) without return types