fix: 测试日志写入临时目录避免冗余文件

tests/trainer/conftest.py

@@ -1,3 +1,5 @@
+import os
+
 import pytest
 import torch
 from torch.utils.data import Dataset
@@ -73,6 +75,7 @@ def create_train_config(
         optimizer_fn=optimizer_fn,
         scheduler_fn=scheduler_fn,
         ckpt_dir=test_dir,
+        log_dir=os.path.join(test_dir, "logs"),
         n_epoch=n_epoch,
         batch_per_device=batch_per_device,
         ckpt_interval=ckpt_interval,

tests/trainer/test_callbacks.py

@@ -1,3 +1,5 @@
+import os
+
 import torch
 
 from astrai.config.train_config import TrainConfig
@@ -110,6 +112,7 @@ def test_gradient_checkpointing_trainer_integration(base_test_env, random_datase
         optimizer_fn=optimizer_fn,
         scheduler_fn=scheduler_fn,
         ckpt_dir=base_test_env["test_dir"],
+        log_dir=os.path.join(base_test_env["test_dir"], "logs"),
         n_epoch=1,
         batch_per_device=2,
         ckpt_interval=3,
@@ -143,6 +146,7 @@ def test_callback_integration(base_test_env, random_dataset):
         optimizer_fn=optimizer_fn,
         scheduler_fn=scheduler_fn,
         ckpt_dir=base_test_env["test_dir"],
+        log_dir=os.path.join(base_test_env["test_dir"], "logs"),
         n_epoch=1,
         batch_per_device=2,
         ckpt_interval=3,

tests/trainer/test_early_stopping.py

@@ -27,6 +27,7 @@ def test_early_stopping_simulation(base_test_env, early_stopping_dataset):
         model=base_test_env["model"],
         dataset=early_stopping_dataset,
         ckpt_dir=base_test_env["test_dir"],
+        log_dir=os.path.join(base_test_env["test_dir"], "logs"),
         n_epoch=2,
         batch_per_device=2,
         ckpt_interval=1,