fix(tests): 更新测试代码以验证优化器状态的保存与加载

tests/test_trainer.py

@@ -145,14 +145,16 @@ def test_checkpoint(test_env):
     config = test_env["transformer_config"]
     model = test_env["model"]
     tokenizer = test_env["tokenizer"]
+    optimizer = torch.optim.AdamW(model.parameters())
+    for _ in range(3):
+        optimizer.step()
     
-    param = ModelParameter(model, tokenizer, config)
     checkpoint = Checkpoint(
-        model=param.model, 
-        tokenizer=param.tokenizer, 
-        config=param.config, 
-        loss_list=[1.0, 2.0, 3.0], 
-        current_iter=3
+        model=model, 
+        tokenizer=tokenizer, 
+        config=config, 
+        loss_list=[1.0, 2.0, 3.0],
+        optim_state=optimizer.state_dict()
     )
     ckpt_dir = os.path.join(temp_dir, "ckpt")
     checkpoint.save(ckpt_dir)
@@ -160,8 +162,8 @@ def test_checkpoint(test_env):
     loaded_ckpt = Checkpoint()
     loaded_ckpt.load(ckpt_dir)
     
-    assert loaded_ckpt.current_iter == 3
     assert loaded_ckpt.loss_list == [1.0, 2.0, 3.0]
+    assert loaded_ckpt.optim_state == optimizer.state_dict()
 
     for p1, p2 in zip(model.parameters(), loaded_ckpt.model.parameters()):
         assert torch.allclose(p1, p2)