code: def test_jit_batch_split(self):
      if Device[Device.DEFAULT].graph is None:
          raise unittest.SkipTest("only test graphs")
  
      # Create long jit with 83 kernels.
      def f(a, b, c, d, e):
          for _ in range(80):
              a = (a + b).realize()
          y = (a * c).realize()
          z = (y * d).realize()
          w = z * e
          return w.realize()
  
      a = Tensor.randn(10, 10).realize()
      b = Tensor.randn(10, 10).realize()
      c = Tensor.randn(10, 10).realize()
      d = Tensor.randn(10, 10).realize()
      e = Tensor.randn(10, 10).realize()
  
      jf = TinyJit(f)
      prev = None
      for _ in range(5):
          o = jf(a, b, c, d, e).numpy()
          if prev is not None:
              np.testing.assert_allclose(o, prev, atol=1e-4, rtol=1e-5)
          prev = o
  
      graph_t = (
          Device[Device.DEFAULT].graph.func
          if isinstance(Device[Device.DEFAULT].graph, functools.partial)
          else Device[Device.DEFAULT].graph
      )
      # Checking that 2 graphs are inited.
      assert isinstance(jf.jit_cache[0].prg, graph_t)
      assert isinstance(jf.jit_cache[1].prg, graph_t)
  
imports: import unittest, functools
  import numpy
  from test.helpers import assert_jit_cache_len
  from tinygrad.tensor import Tensor
  from tinygrad.jit import TinyJit
  from tinygrad.device import Device
  from tinygrad.helpers import CI
label_desc: Use image node_id 19 for calling the TestJit obj's underlying member method code with example usage: obj.test_jit_batch_split() and returns: w