code: def test(self, zero_stage=2, use_cpu_offload=False):
      if not bf16_required_version_check():
          pytest.skip(
              " DeepSpeed BFloat16 tests need torch >= 1.10, NCCL >= 2.10.3, CUDA > =11.0 and HW support for BFloat16 to run correctly"
          )
  
      if (
          use_cpu_offload
          and not deepspeed.ops.__compatible_ops__[CPUAdamBuilder.NAME]
      ):
          pytest.skip("cpu-adam is not compatible")
  
      config_dict = {
          "steps_per_print": 1,
          "optimizer": {"type": "Adam", "params": {"lr": 0.00015}},
          "scheduler": {
              "type": "OneCycle",
              "params": {
                  "cycle_first_step_size": 16000,
                  "cycle_first_stair_count": 8000,
                  "decay_step_size": 16000,
                  "cycle_min_lr": 1e-06,
                  "cycle_max_lr": 3e-05,
                  "decay_lr_rate": 1e-07,
                  "cycle_min_mom": 0.85,
                  "cycle_max_mom": 0.99,
                  "decay_mom_rate": 0.0,
              },
          },
          "fp16": {"enabled": False},
          "bf16": {"enabled": True},
          "zero_optimization": {
              "stage": zero_stage,
              "cpu_offload": use_cpu_offload,
          },
      }
  
      hidden_dim = 10
      model = SimpleModel(hidden_dim)
      model, _, _, _ = deepspeed.initialize(
          config=config_dict,
          model=model,
          model_parameters=model.parameters(),
      )
      data_loader = random_dataloader(
          model=model,
          total_samples=50,
          hidden_dim=hidden_dim,
          device=model.device,
          dtype=torch.bfloat16,
      )
      for n, batch in enumerate(data_loader):
          loss = model(batch[0], batch[1])
          model.backward(loss)
          model.step()
  
imports: import torch
  import deepspeed
  import pytest
  from deepspeed.ops.adam import FusedAdam
  from unit.common import DistributedTest
  from deepspeed.ops.op_builder import CPUAdamBuilder
  from unit.simple_model import SimpleModel, SimpleOptimizer, random_dataloader
  from unit.util import bf16_required_version_check
  from deepspeed import comm
label_desc: Use image node_id 1 for calling the TestAdamBF16ZeroOneCycleCompatibility obj's underlying member method code with example usage: obj.test(zero_stage, use_cpu_offload) without return types