diff --git a/qlib/__init__.py b/qlib/__init__.py
index 816e5a585..4fd48f8c1 100644
--- a/qlib/__init__.py
+++ b/qlib/__init__.py
@@ -154,7 +154,7 @@ def init_from_yaml_conf(conf_path, **kwargs):
     init(default_conf, **config)
 
 
-def get_project_path(config_name="config.yaml") -> Path:
+def get_project_path(config_name="config.yaml", cur_path=None) -> Path:
     """
     If users are building a project follow the following pattern.
     - Qlib is a sub folder in project path
@@ -181,7 +181,8 @@ def get_project_path(config_name="config.yaml") -> Path:
     FileNotFoundError:
         If project path is not found
     """
-    cur_path = Path(__file__).absolute().resolve()
+    if cur_path is None:
+        cur_path = Path(__file__).absolute().resolve()
     while True:
         if (cur_path / config_name).exists():
             return cur_path
@@ -199,7 +200,7 @@ def auto_init(**kwargs):
     """
 
     try:
-        pp = get_project_path()
+        pp = get_project_path(cur_path=kwargs.pop("cur_path", None))
     except FileNotFoundError:
         init(**kwargs)
     else:
diff --git a/qlib/model/trainer.py b/qlib/model/trainer.py
index 5e62a141c..a4df92218 100644
--- a/qlib/model/trainer.py
+++ b/qlib/model/trainer.py
@@ -34,7 +34,7 @@ def task_train(task_config: dict, experiment_name: str) -> str:
         model.fit(dataset)
         recorder = R.get_recorder()
         R.save_objects(**{"params.pkl": model})
-        R.save_objects(**{"task.pkl": task_config})  # keep the original format and datatype
+        R.save_objects(task=task_config)  # keep the original format and datatype
 
         # generate records: prediction, backtest, and analysis
         records = task_config.get("record", [])
diff --git a/qlib/workflow/task/collect.py b/qlib/workflow/task/collect.py
index b16312ff7..b4a584494 100644
--- a/qlib/workflow/task/collect.py
+++ b/qlib/workflow/task/collect.py
@@ -1,5 +1,6 @@
 from qlib.workflow import R
 import pandas as pd
+import tqdm.auto import tqdm
 from typing import Union
 from qlib import get_module_logger
 
@@ -35,7 +36,7 @@ class TaskCollector:
 
         recs_flt = {}
         for rid, rec in recs.items():
-            params = rec.load_object("task.pkl")
+            params = rec.load_object("task")
             if rec.status == rec.STATUS_FI:
                 if filter_func is None or filter_func(params):
                     rec.params = params
@@ -83,7 +84,7 @@ class RollingCollector:
 
         recs_flt = {}
         for rid, rec in tqdm(recs.items(), desc="Loading data"):
-            params = rec.load_object("task.pkl")
+            params = rec.load_object("task")
             if rec.status == rec.STATUS_FI:
                 if self.flt_func is None or self.flt_func(params):
                     rec.params = params
diff --git a/qlib/workflow/task/update.py b/qlib/workflow/task/update.py
index f9d03efbc..628225a20 100644
--- a/qlib/workflow/task/update.py
+++ b/qlib/workflow/task/update.py
@@ -74,7 +74,7 @@ class ModelUpdater:
         rec = self.exp.get_recorder(recorder_id=rid)
         old_pred = rec.load_object("pred.pkl")
         last_end = old_pred.index.get_level_values("datetime").max()
-        task_config = rec.load_object("task.pkl")
+        task_config = rec.load_object("task")
 
         # updated to the latest trading day
         cal = D.calendar(start_time=last_end + pd.Timedelta(days=1), end_time=None)
@@ -107,7 +107,7 @@ class ModelUpdater:
             .. code-block:: python
 
                 def record_filter(record):
-                    task_config = record.load_object("task.pkl")
+                    task_config = record.load_object("task")
                     if task_config["model"]["class"]=="LGBModel":
                         return True
                     return False