code: def test_atan2_jit(self):
      # custom ops even work in the JIT!
      from tinygrad.jit import TinyJit
  
      @TinyJit
      def jitted_atan2(a: Tensor, b: Tensor) -> Tensor:
          return ATan2.apply(a, b).realize()
  
      for _ in range(5):
          a = Tensor.randn(4, 4, requires_grad=True).permute(1, 0)
          b = Tensor.randn(4, 4, requires_grad=True).permute(1, 0)
          c = jitted_atan2(a, b)
          np.testing.assert_allclose(
              c.numpy(), np.arctan2(a.numpy(), b.numpy()), atol=1e-5
          )
  
imports: import unittest
  import numpy
  from typing import Optional, Tuple
  from tinygrad.helpers import prod
  from tinygrad.dtype import dtypes
  from tinygrad.lazy import Buffer, create_lazybuffer
  from tinygrad.device import CompiledASTRunner, Device
  from tinygrad.shape.shapetracker import ShapeTracker
  from tinygrad.ops import LoadOps, BinaryOps
  from tinygrad.lazy import LazyBuffer
  from tinygrad.tensor import Function
  from tinygrad.tensor import Tensor
label_desc: Use image node_id 3 for calling the TestCustomFunction obj's underlying member method code with example usage: obj.test_atan2_jit() and returns: ATan2