code: def test_tensor_list_errors(self):
      # inhomogeneous shape
      with self.assertRaises(ValueError):
          Tensor([[], [[]]])
      with self.assertRaises(ValueError):
          Tensor([[1], []])
      with self.assertRaises(ValueError):
          Tensor([[1], [1], 1])
      with self.assertRaises(ValueError):
          Tensor([[[1, 1, 1], [1, 1]]])
      with self.assertRaises(ValueError):
          Tensor([[1, 1, 1], [[1, 1, 1]]])
  
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 22 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_tensor_list_errors() without return types