message: Fix 'ValueError: low is out of bounds for int32' error in test_int64
  The type can be specified directly to randint; casting it after the
  fact won't work after the min/max values given are in the i64 range.
diff: @@ -23,7 +23,8 @@ class TestNumpyHelper(unittest.TestCase):
  a = np.random.randint(
  np.iinfo(dtype).min,
  np.iinfo(dtype).max,
  - size=(13, 37)).astype(dtype)
  + dtype=dtype,
  + size=(13, 37))
  tensor_def = numpy_helper.from_array(a, "test")
  self.assertEqual(tensor_def.name, "test")
  a_recover = numpy_helper.to_array(tensor_def)
  