code: def test_copy_from_disk(self):
      t = Tensor.randn(30, device="CPU").to(
          f"disk:{temp('test_copy_from_disk')}"
      )
      a = t[10:20]
      dev = a.to(Device.DEFAULT)
      np.testing.assert_allclose(a.numpy(), dev.numpy())
  
imports: import numpy
  import torch
  import unittest, copy
  import mmap
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import temp
  from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
label_desc: Use image node_id 24 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_copy_from_disk() without return types