code: def test_cpu_adagrad_gpu_error(self):
      model_size = 64
      device = get_accelerator().device_name(0)  # 'cuda:0' or 'xpu:0'
      param = torch.nn.Parameter(torch.randn(model_size, device=device))
      optimizer = DeepSpeedCPUAdagrad([param])
  
      param.grad = torch.randn(model_size, device=device)
      with pytest.raises(AssertionError):
          optimizer.step()
  
file_path: DeepSpeed/tests/unit/ops/adagrad/test_cpu_adagrad.py
imports: import torch
  import numpy
  import pytest
  import deepspeed
  from deepspeed.ops.adagrad import DeepSpeedCPUAdagrad
  from deepspeed.accelerator import get_accelerator
  from deepspeed.ops.op_builder import CPUAdagradBuilder
  from unit.common import DistributedTest
label_desc: Use image node_id 1 for calling the TestCPUAdagradGPUError obj's underlying member method code with example usage: obj.test_cpu_adagrad_gpu_error() without return types