code: def run(self, inputs, class_tmpdir, mp_size, pp_size):
      assert int(os.environ["WORLD_SIZE"]) == (
          pp_size * mp_size
      ), "world size does not match provided pp_size and mp_size"
      args_defaults = {
          "num_layers": 8,
          "hidden_size": 128,
          "num_attention_heads": 8,
          "max_position_embeddings": 128,
      }
  
      topo = get_topology(mp_size, pp_size, mp_size * pp_size)
      gpt2_pipe_model = GPT2ModelPipe(
          num_layers=8,
          num_stages=pp_size,
          mp_size=mp_size,
          args_others=args_defaults,
          topo=topo,
      )
      model = get_deepspeed_model(gpt2_pipe_model)
  
      with torch.no_grad():
          inputs = [x.cuda() for x in inputs]
          if model.is_first_stage() or model.is_last_stage():
              loader = RepeatingLoader([(inputs[0], 0)])
              data_iter = iter(loader)
          else:
              data_iter = None
  
          baseline = model.eval_batch(
              data_iter=data_iter,
              compute_loss=False,
              reduce_output=None,
          )
  
          if baseline is not None:
              # baseline should be [[hidden, True]]]
              assert len(baseline) == 1
              assert len(baseline[0]) == 1
              assert torch.is_tensor(baseline[0][0])
              save_path = os.path.join(class_tmpdir, "output.pt")
              torch.save(baseline[0][0].cpu(), save_path)
  
          state_dict = {}
          state_dict["checkpoint_version"] = get_megatron_version()
          model.save_checkpoint(class_tmpdir, client_state=state_dict)
  
imports: import os
  import torch
  import deepspeed
  import pytest
  import random
  import numpy
  import deepspeed.comm
  from unit.common import DistributedTest, DistributedFixture
  from unit.megatron_model import get_megatron_version
  from unit.megatron_model import MockGPT2ModelPipe
  from deepspeed.utils import RepeatingLoader
label_desc: Use image node_id 1 for calling the _baseline obj's underlying member method code with example usage: obj.run(inputs, class_tmpdir, mp_size, pp_size) without return types