code: def test_speed(self):
      x = Tensor.empty(1, 4, 9, 9)
      w = Tensor.empty(4, 4, 3, 3)
  
      with Timing("running conv: "):
          out = Tensor.conv2d(x, w)
  
      with Timing("scheduling: "):
          sched = out.lazydata.schedule()
  
      for i, s in enumerate(sched):
          if s.ast.op in LoadOps:
              continue
          ops = s.ast.lazyops
          with Timing(f"linearize {i} with {len(ops):4d} ops: "):
              l = Linearizer(s.ast)
              l.hand_coded_optimizations()
              l.linearize()
  
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 3 for calling the TestWinograd obj's underlying member method code with example usage: obj.test_speed() without return types