code: def test_profile(self):
      x, w = (
          Tensor.rand(1, 4, 9, 9).realize(),
          Tensor.rand(4, 4, 3, 3).realize(),
      )
      with Profiling(enabled=not CI, sort="time"):
          out = Tensor.conv2d(x, w).realize()
      out.numpy()
  
file_path: tinygrad/test/test_winograd.py
imports: import unittest
  from tinygrad.helpers import Timing, CI, Profiling
  from tinygrad.tensor import Tensor
  from tinygrad.ops import LoadOps
  from tinygrad.codegen.linearizer import Linearizer
label_desc: Use image node_id 4 for calling the TestWinograd obj's underlying member method code with example usage: obj.test_profile() without return types