code: def test_multistep_adamw_high_lr(self):
      self._test_adamw(10, {"lr": 10}, 5e-4, 2e-3)
  
imports: import numpy
  import torch
  import unittest
  from tinygrad import Tensor, Device
  from tinygrad.nn.optim import Adam, SGD, AdamW
  from tinygrad.helpers import CI
label_desc: Use image node_id 30 for calling the TestOptim obj's underlying member method code with example usage: obj.test_multistep_adamw_high_lr() without return types