code: def forward(self, input):
      split_node = torch.split(input, 2, 0)
      x = split_node[1]
      return x
  
imports: import pytest
  import torch
  import torch.nn
  from colossalai._analyzer.fx.graph_module import ColoGraphModule
  from colossalai._analyzer.fx.passes.shape_prop import shape_prop_pass
  from colossalai._analyzer.fx.tracer.tracer import ColoTracer
  from colossalai.auto_parallel.tensor_shard.node_handler.default_reshape_handler import DefaultReshapeHandler
  from colossalai.auto_parallel.tensor_shard.node_handler.getitem_handler import GetItemHandler
  from colossalai.auto_parallel.tensor_shard.node_handler.linear_handler import LinearFunctionHandler
  from colossalai.auto_parallel.tensor_shard.node_handler.placeholder_handler import PlaceholderHandler
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import OperationData, OperationDataType, StrategiesVector
  from colossalai.device.device_mesh import DeviceMesh
  from colossalai.initialize import launch
  from colossalai.logging import disable_existing_loggers
  from colossalai.testing import clear_cache_before_run, parameterize, rerun_if_address_is_in_use, spawn
  from colossalai.testing.pytest_wrapper import run_on_environment_flag
  from tests.test_auto_parallel.test_tensor_shard.test_node_handler.utils import numerical_test_for_node_strategy
label_desc: Use image node_id 2 for calling the GetItemFromTupleModel obj's underlying member method code with example usage: obj.forward(input) and returns: x