code: def test_memory_efficient_with_full_precision_parameters():
      weight = torch.randn(10, 5, requires_grad=True).float().cuda()
      bias = torch.randn(10, requires_grad=True).float().cuda()
      with pytest.raises(AssertionError):
          Adam(
              [weight, bias],
              lr=1e-2,
              precision=Precision.MEMORY_EFFICIENT_MIXED_PRECISION,
          )
  
imports: from copy import deepcopy
  import functools
  import pytest
  import torch
label_desc: Use image node_id 26 for calling a global function with example usage: test_memory_efficient_with_full_precision_parameters() without return types