code: def test_numpy_is_numpy(self):
      output = Tensor.ones((1, 3, 4096)).realize().numpy()
      new = np.copy(output)
      print(type(new))
      serialized = pickle.dumps(new)
      out = pickle.loads(serialized)
      assert out.shape == (1, 3, 4096)
      assert (out == 1).all()
  
imports: from tinygrad.tensor import Tensor
  import numpy
  import pickle
  import unittest
label_desc: Use image node_id 1 for calling the TestToNumpy obj's underlying member method code with example usage: obj.test_numpy_is_numpy() without return types