code: def test_multi_tensor_jit_body(self):
      @TinyJit
      def jf() -> Tensor:
          a = Tensor.ones(256).contiguous().realize()
          b = Tensor.ones(256).contiguous().realize()
          a.shard_((d0, d1))
          b.shard_((d0, d1))
          return (a + b).realize()
  
      for _ in range(5):
          r = jf()
          np.testing.assert_allclose(
              r.numpy(),
              np.ones(256) + np.ones(256),
              atol=1e-4,
              rtol=1e-5,
          )
      assert len(jf.jit_cache) > 0
  
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 40 for calling the TestMultiTensor obj's underlying member method code with example usage: obj.test_multi_tensor_jit_body() and returns: unknown