code: def test_pure_fp16_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.PURE_FP16)
  
imports: from copy import deepcopy
  import functools
  import pytest
  import torch
label_desc: Use image node_id 27 for calling a global function with example usage: test_pure_fp16_with_full_precision_parameters() without return types