code: def test_multi_device_jit_graph(self):
      if Device[d0].graph is None or Device[d1].graph is None:
          raise unittest.SkipTest("only test graphs")
  
      @TinyJit
      def jf(a: Tensor, b: Tensor, c: Tensor, d: Tensor):
          # Create 80 entries on device 0: 2 batches.
          for _ in range(40):
              a = ((a + b).realize() + (a * b).realize()).realize()
          # Create 80 entries on device 1: 2 batches.
          for _ in range(40):
              c = ((c + d).realize() + (c * d).realize()).realize()
          # Create a copy from device 0 to 1: 1 entry.
          a = a.to(d1).realize()
          # Creates one last entry on device 1: 1 batch.
          return (a + c).realize()
  
      a = Tensor.randn(10, 10, device=d0).realize()
      b = Tensor.randn(10, 10, device=d0).realize()
      c = Tensor.randn(10, 10, device=d1).realize()
      d = Tensor.randn(10, 10, device=d1).realize()
  
      ref = jf(a, b, c, d).numpy()
      for _ in range(5):
          o = jf(a, b, c, d).numpy()
          np.testing.assert_allclose(ref, o, atol=1e-4, rtol=1e-5)
  
      graph_d0 = (
          Device[d0].graph.func
          if isinstance(Device[d0].graph, functools.partial)
          else Device[d0].graph
      )
      graph_d1 = (
          Device[d1].graph.func
          if isinstance(Device[d1].graph, functools.partial)
          else Device[d1].graph
      )
      # Checking that 2 graphs per device, 1 copy and 1 last graph on device 1 are created.
      assert isinstance(jf.jit_cache[0].prg, graph_d0)
      assert isinstance(jf.jit_cache[1].prg, graph_d0)
      assert isinstance(jf.jit_cache[2].prg, graph_d1)
      assert isinstance(jf.jit_cache[3].prg, graph_d1)
      assert isinstance(jf.jit_cache[4].prg, _BufferCopy)
      assert isinstance(jf.jit_cache[5].prg, graph_d1)
  
imports: import functools
  import unittest
  from tinygrad import Tensor, Device, nn, GlobalCounters
  from tinygrad.device import _BufferCopy
  from tinygrad.helpers import CI
  from tinygrad.jit import TinyJit
  from tinygrad.nn.state import get_parameters
  import numpy
label_desc: Use image node_id 41 for calling the TestMultiTensor obj's underlying member method code with example usage: obj.test_multi_device_jit_graph() and returns: unknown