From 345fd2f0914f31622177e3c6b76dc02c927e65a5 Mon Sep 17 00:00:00 2001
From: ViperEkura <3081035982@qq.com>
Date: Mon, 30 Mar 2026 22:22:36 +0800
Subject: [PATCH] =?UTF-8?q?fix:=20=E4=BF=AE=E5=A4=8D=E5=8F=82=E6=95=B0?=
 =?UTF-8?q?=E4=BC=A0=E9=80=92=E9=97=AE=E9=A2=98?=
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---
 khaosz/parallel/setup.py             | 1 +
 khaosz/trainer/trainer.py            | 2 ++
 tests/conftest.py                    | 2 +-
 tests/trainer/test_callbacks.py      | 3 ++-
 tests/trainer/test_early_stopping.py | 1 +
 tests/trainer/test_trainer.py        | 9 ++++++---
 6 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/khaosz/parallel/setup.py b/khaosz/parallel/setup.py
index 452e30f..4c81b19 100644
--- a/khaosz/parallel/setup.py
+++ b/khaosz/parallel/setup.py
@@ -81,6 +81,7 @@ def only_on_rank(rank, sync=False):
     def decorator(func):
         @wraps(func)
         def wrapper(*args, **kwargs):
+            ret_args = None
             if get_rank() == rank:
                 ret_args = func(*args, **kwargs)
 
diff --git a/khaosz/trainer/trainer.py b/khaosz/trainer/trainer.py
index a75ef36..6d2415f 100644
--- a/khaosz/trainer/trainer.py
+++ b/khaosz/trainer/trainer.py
@@ -57,6 +57,8 @@ class Trainer:
             world_size=config.nprocs,
             master_addr=config.master_addr,
             master_port=config.master_port,
+            device_type=config.device_type,
+            device_ids=config.device_ids,
             checkpoint=checkpoint
         )
 
diff --git a/tests/conftest.py b/tests/conftest.py
index 032d3f7..2dacbbb 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -96,7 +96,7 @@ def base_test_env(request: pytest.FixtureRequest):
     
     with open(config_path, 'w') as f:
         json.dump(config, f)
-    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    device = "cuda" if torch.cuda.is_available() else "cpu"
     transformer_config = ModelConfig().load(config_path)
     model = Transformer(transformer_config).to(device=device)
     tokenizer = BpeTokenizer()
diff --git a/tests/trainer/test_callbacks.py b/tests/trainer/test_callbacks.py
index 7855d7d..0ae63d8 100644
--- a/tests/trainer/test_callbacks.py
+++ b/tests/trainer/test_callbacks.py
@@ -25,7 +25,8 @@ def test_callback_integration(base_test_env, random_dataset):
         checkpoint_interval=3,
         accumulation_steps=1,
         max_grad_norm=1.0,
-        random_seed=42
+        random_seed=42,
+        device_type=base_test_env["device"]
     )
     
 
diff --git a/tests/trainer/test_early_stopping.py b/tests/trainer/test_early_stopping.py
index b8893f9..dc794f4 100644
--- a/tests/trainer/test_early_stopping.py
+++ b/tests/trainer/test_early_stopping.py
@@ -25,6 +25,7 @@ def test_early_stopping_simulation(base_test_env, early_stopping_dataset):
         checkpoint_interval=1,
         accumulation_steps=2,
         random_seed=np.random.randint(1e4),
+        device_type=base_test_env["device"]
     )
 
     trainer = Trainer(train_config)
diff --git a/tests/trainer/test_trainer.py b/tests/trainer/test_trainer.py
index 27261ce..ce93bec 100644
--- a/tests/trainer/test_trainer.py
+++ b/tests/trainer/test_trainer.py
@@ -30,7 +30,8 @@ def test_different_batch_sizes(base_test_env, random_dataset):
             checkpoint_interval=5,
             accumulation_steps=1,
             max_grad_norm=1.0,
-            random_seed=np.random.randint(1000)
+            random_seed=np.random.randint(1000),
+            device_type=base_test_env["device"]
         )
         
         assert train_config.batch_size == batch_size
@@ -59,7 +60,8 @@ def test_gradient_accumulation(base_test_env, random_dataset):
             checkpoint_interval=10,
             accumulation_steps=accumulation_steps,
             max_grad_norm=1.0,
-            random_seed=42
+            random_seed=42,
+            device_type=base_test_env["device"]
         )
         
         trainer = Trainer(train_config)
@@ -96,7 +98,8 @@ def test_memory_efficient_training(base_test_env, random_dataset):
             checkpoint_interval=5,
             accumulation_steps=config["accumulation_steps"],
             max_grad_norm=1.0,
-            random_seed=42
+            random_seed=42,
+            device_type=base_test_env["device"]
         )
         
         assert train_config.accumulation_steps == config["accumulation_steps"]
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