code: def test_deepwalk_ctx_check(self):
      layer = Tensor.uniform(1, 1, requires_grad=True)
      x = Tensor.randn(1, 1, 1)
      x.dot(layer).mean().backward()
      x = Tensor.randn(1, 1, 1)
      x.dot(layer).mean().backward()
  
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 17 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_deepwalk_ctx_check() without return types