code: def test_get_micro_batch():
      x = torch.rand(2, 1)
      y = torch.rand(2, 3)
      micro_batch = get_micro_batch(x, 0, 1)
      assert torch.equal(micro_batch, x[0:1])
      micro_batch = get_micro_batch(x, 1, 1)
      assert torch.equal(micro_batch, x[1:2])
      micro_batch = get_micro_batch([x, y], 0, 1)
      assert torch.equal(micro_batch[0], x[0:1])
      assert torch.equal(micro_batch[1], y[0:1])
      micro_batch = get_micro_batch([x, y], 1, 1)
      assert torch.equal(micro_batch[0], x[1:2])
      assert torch.equal(micro_batch[1], y[1:2])
      micro_batch = get_micro_batch({"x": x, "y": y}, 0, 1)
      assert torch.equal(micro_batch["x"], x[0:1])
      assert torch.equal(micro_batch["y"], y[0:1])
      micro_batch = get_micro_batch({"x": x, "y": y}, 1, 1)
      assert torch.equal(micro_batch["x"], x[1:2])
      assert torch.equal(micro_batch["y"], y[1:2])
  
imports: import torch
  from colossalai.pipeline.schedule._utils import get_batch_size, get_micro_batch, merge_batch
label_desc: Use image node_id 2 for calling a global function with example usage: test_get_micro_batch() without return types