code: def test_missing_amp_autocast(self, half_op):
      hidden_dim = 4
      if half_op:
          input = (
              torch.randn(hidden_dim)
              .to(get_accelerator().device_name())
              .half()
          )
          ds_linear = (
              LinearModuleForZeroStage3(hidden_dim, hidden_dim)
              .to(get_accelerator().device_name())
              .half()
          )
      else:
          input = torch.randn(hidden_dim).to(
              get_accelerator().device_name()
          )
          ds_linear = LinearModuleForZeroStage3(
              hidden_dim, hidden_dim
          ).to(get_accelerator().device_name())
  
      output = ds_linear(input)
      assert output.dtype == ds_linear.weight.dtype
  
file_path: deepspeed/tests/unit/runtime/test_autocast.py
imports: import pytest
  import torch
  from deepspeed.runtime.zero.linear import LinearModuleForZeroStage3
  from deepspeed.accelerator import get_accelerator
  from unit.common import DistributedTest
label_desc: Use image node_id 1 for calling the TestAutoCastDisable obj's underlying member method code with example usage: obj.test_missing_amp_autocast(half_op) without return types