code: def test_numel(self):
      assert Tensor.randn(10, 10).numel() == 100
      assert Tensor.randn(1, 2, 5).numel() == 10
      assert Tensor.randn(1, 1, 1, 1, 1, 1).numel() == 1
      assert Tensor([]).numel() == 0
      assert Tensor.randn(1, 0, 2, 5).numel() == 0
  
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 15 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_numel() without return types