code: def test_atan2_forward(self):
      # create some random Tensors, permute them just because we can
      a = Tensor.randn(4, 4, requires_grad=True).permute(1, 0)
      b = Tensor.randn(4, 4, requires_grad=True).permute(1, 0)
  
      # run the forward pass. note: up until the .numpy(), it's all lazy
      c = ATan2.apply(a, b)
      print(c.numpy())
  
      # check the forward pass (in numpy)
      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 1 for calling the TestCustomFunction obj's underlying member method code with example usage: obj.test_atan2_forward() without return types