code: def test_element_size(self):
      for _, dtype in dtypes.fields().items():
          assert (
              dtype.itemsize
              == Tensor.randn(3, dtype=dtype).element_size()
          ), f"Tensor.element_size() not matching Tensor.dtype.itemsize for {dtype}"
  
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 16 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_element_size() without return types