code: def test_multistep_sgd_high_lr_momentum(self):
      self._test_sgd(10, {"lr": 10, "momentum": 0.9}, 1e-5, 3e-4)
  
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 16 for calling the TestOptim obj's underlying member method code with example usage: obj.test_multistep_sgd_high_lr_momentum() without return types