test_fsdp device 统一为[0,1]

tests/core/drivers/torch_driver/test_fsdp.py

@@ -105,7 +105,7 @@ def test_model_checkpoint_callback_1(
     model_and_optimizers: TrainerParameters,
     save_on_rank0
 ):
-    device = [6, 7]
+    device = [0, 1]
     for version in [0, 1]:
         # 需要在每一个循环开始重新初始化 model，是因为 fsdp 会将当前卡上的 model 删除，从而导致这个引用实际上引用到的是一个空模型；
         model_and_optimizers.model = TorchNormalModel_Classification_1(
@@ -242,7 +242,7 @@ def test_model_checkpoint_callback_1(
 
 @pytest.mark.skip("现在 fsdp 还不支持断点重训；")
 @pytest.mark.torch
-@pytest.mark.parametrize("driver,device", [("torch_fsdp", [6, 7])])  # ("torch", "cpu"), ("torch", [0, 1]), ("torch", 1)
+@pytest.mark.parametrize("driver,device", [("torch_fsdp", [0, 1])])  # ("torch", "cpu"), ("torch", [0, 1]), ("torch", 1)
 @magic_argv_env_context(timeout=100)
 def test_trainer_checkpoint_callback_1(
     model_and_optimizers: TrainerParameters,