code: def test_shrink(self):
      for i in range(1, 5):
          vi = Variable("i", 1, 10).bind(i)
          a = Tensor.rand(7, 11)
          symbolic = a.shrink(((3, 5), (vi, vi + 2)))
          symbolic = symbolic.numpy()
          expected = a.shrink(((3, 5), (i, i + 2))).numpy()
          np.testing.assert_allclose(
              symbolic, expected, atol=1e-6, rtol=1e-6
          )
  
imports: import unittest
  from tinygrad.shape.symbolic import Variable
  from tinygrad.helpers import getenv
  from tinygrad.tensor import Tensor
  from examples.gpt2 import Attention
  import numpy
label_desc: Use image node_id 15 for calling the TestSymbolicOps obj's underlying member method code with example usage: obj.test_shrink() without return types