diff --git a/mindinsight/backend/profiler/profile_api.py b/mindinsight/backend/profiler/profile_api.py
index 6c6dc2d6..5e57008d 100644
--- a/mindinsight/backend/profiler/profile_api.py
+++ b/mindinsight/backend/profiler/profile_api.py
@@ -30,9 +30,9 @@ from mindinsight.datavisual.utils.tools import get_train_id, get_profiler_dir, t
 from mindinsight.datavisual.utils.tools import unquote_args
 from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory
 from mindinsight.profiler.analyser.minddata_analyser import MinddataAnalyser
-from mindinsight.profiler.common.exceptions.exceptions import ProfilerFileNotFoundException, \
-    ProfilerDirNotFoundException
-from mindinsight.profiler.common.util import analyse_device_list_from_profiler_dir
+from mindinsight.profiler.common.exceptions.exceptions import ProfilerFileNotFoundException
+from mindinsight.profiler.common.util import analyse_device_list_from_profiler_dir, \
+    check_train_job_and_profiler_dir
 from mindinsight.profiler.common.validator.validate import validate_condition, validate_ui_proc
 from mindinsight.profiler.common.validator.validate import validate_minddata_pipeline_condition
 from mindinsight.profiler.common.validator.validate_path import \
@@ -80,6 +80,8 @@ def get_profile_op_info():
     except ValidationError:
         raise ParamValueError("Invalid profiler dir")
 
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     op_type = search_condition.get("op_type")
 
     analyser = AnalyserFactory.instance().get_analyser(
@@ -115,6 +117,8 @@ def get_profile_device_list():
     except ValidationError:
         raise ParamValueError("Invalid profiler dir")
 
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     device_list, _ = analyse_device_list_from_profiler_dir(profiler_dir_abs)
     return jsonify(device_list)
 
@@ -131,7 +135,9 @@ def get_training_trace_graph():
         >>> GET http://xxxx/v1/mindinsight/profile/training-trace/graph
     """
     summary_dir = request.args.get("dir")
-    profiler_dir = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
+    profiler_dir_abs = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     graph_type = request.args.get("type", default='0')
     graph_type = to_int(graph_type, 'graph_type')
     device_id = request.args.get("device_id", default='0')
@@ -139,7 +145,7 @@ def get_training_trace_graph():
     graph_info = {}
     try:
         analyser = AnalyserFactory.instance().get_analyser(
-            'step_trace', profiler_dir, device_id)
+            'step_trace', profiler_dir_abs, device_id)
     except ProfilerFileNotFoundException:
         return jsonify(graph_info)
 
@@ -165,14 +171,16 @@ def get_target_time_info():
         >>> GET http://xxxx/v1/mindinsight/profile/training-trace/target-time-info
     """
     summary_dir = request.args.get("dir")
-    profiler_dir = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
+    profiler_dir_abs = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     proc_name = request.args.get("type")
     validate_ui_proc(proc_name)
     device_id = request.args.get("device_id", default='0')
     _ = to_int(device_id, 'device_id')
 
     analyser = AnalyserFactory.instance().get_analyser(
-        'step_trace', profiler_dir, device_id)
+        'step_trace', profiler_dir_abs, device_id)
     target_time_info = analyser.query({
         'filter_condition': {
             'mode': 'proc',
@@ -193,7 +201,8 @@ def get_queue_info():
     Examples:
         >>> GET http://xxxx/v1/mindinsight/profile/queue_info
     """
-    profile_dir = get_profiler_abs_dir(request)
+    profiler_dir_abs = get_profiler_abs_dir(request)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
 
     device_id = unquote_args(request, "device_id")
     to_int(device_id, 'device_id')
@@ -201,7 +210,7 @@ def get_queue_info():
     queue_info = {}
 
     minddata_analyser = AnalyserFactory.instance().get_analyser(
-        'minddata', profile_dir, device_id)
+        'minddata', profiler_dir_abs, device_id)
     if queue_type == "get_next":
         queue_info, _ = minddata_analyser.analyse_get_next_info(info_type="queue")
     elif queue_type == "device_queue":
@@ -221,7 +230,9 @@ def get_time_info():
     Examples:
         >>> GET http://xxxx/v1/mindinsight/profile/minddata_op
     """
-    profile_dir = get_profiler_abs_dir(request)
+    profiler_dir_abs = get_profiler_abs_dir(request)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     device_id = unquote_args(request, "device_id")
     to_int(device_id, 'device_id')
     op_type = unquote_args(request, "type")
@@ -233,7 +244,7 @@ def get_time_info():
         "advise": {}
     }
     minddata_analyser = AnalyserFactory.instance().get_analyser(
-        'minddata', profile_dir, device_id)
+        'minddata', profiler_dir_abs, device_id)
     if op_type == "get_next":
         _, time_info = minddata_analyser.analyse_get_next_info(info_type="time")
     elif op_type == "device_queue":
@@ -253,12 +264,14 @@ def get_process_summary():
     Examples:
         >>> GET http://xxxx/v1/mindinsight/profile/process_summary
     """
-    profile_dir = get_profiler_abs_dir(request)
+    profiler_dir_abs = get_profiler_abs_dir(request)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     device_id = unquote_args(request, "device_id")
     to_int(device_id, 'device_id')
 
     minddata_analyser = AnalyserFactory.instance().get_analyser(
-        'minddata', profile_dir, device_id)
+        'minddata', profiler_dir_abs, device_id)
     get_next_queue_info, _ = minddata_analyser.analyse_get_next_info(info_type="queue")
     device_queue_info, _ = minddata_analyser.analyse_device_queue_info(info_type="queue")
 
@@ -318,6 +331,8 @@ def get_profile_summary_proposal():
     except ValidationError:
         raise ParamValueError("Invalid profiler dir")
 
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     step_trace_condition = {"filter_condition": {"mode": "proc",
                                                  "proc_name": "iteration_interval",
                                                  "step_id": 0}}
@@ -359,6 +374,7 @@ def get_minddata_pipeline_op_queue_info():
     except ValidationError:
         raise ParamValueError("Invalid profiler dir.")
 
+    check_train_job_and_profiler_dir(profiler_dir_abs)
     condition = request.stream.read()
     try:
         condition = json.loads(condition) if condition else {}
@@ -404,6 +420,8 @@ def get_minddata_pipeline_queue_info():
     except ValidationError:
         raise ParamValueError("Invalid profiler dir.")
 
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     device_id = request.args.get('device_id', default='0')
     to_int(device_id, 'device_id')
     op_id = request.args.get('op_id', type=int)
@@ -429,9 +447,9 @@ def get_timeline_summary():
         >>> GET http://xxxx/v1/mindinsight/profile/timeline-summary
     """
     summary_dir = request.args.get("dir")
-    profiler_dir = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
-    if not os.path.exists(profiler_dir):
-        raise ProfilerDirNotFoundException(msg=summary_dir)
+    profiler_dir_abs = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     device_id = request.args.get("device_id", default='0')
     _ = to_int(device_id, 'device_id')
     device_type = request.args.get("device_type", default='ascend')
@@ -440,7 +458,7 @@ def get_timeline_summary():
         raise ParamValueError("Invalid device_type.")
 
     analyser = AnalyserFactory.instance().get_analyser(
-        'timeline', profiler_dir, device_id)
+        'timeline', profiler_dir_abs, device_id)
     summary = analyser.get_timeline_summary(device_type)
 
     return summary
@@ -458,9 +476,9 @@ def get_timeline_detail():
         >>> GET http://xxxx/v1/mindinsight/profile/timeline
     """
     summary_dir = request.args.get("dir")
-    profiler_dir = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
-    if not os.path.exists(profiler_dir):
-        raise ProfilerDirNotFoundException(msg=summary_dir)
+    profiler_dir_abs = validate_and_normalize_profiler_path(summary_dir, settings.SUMMARY_BASE_DIR)
+    check_train_job_and_profiler_dir(profiler_dir_abs)
+
     device_id = request.args.get("device_id", default='0')
     _ = to_int(device_id, 'device_id')
     device_type = request.args.get("device_type", default='ascend')
@@ -469,7 +487,7 @@ def get_timeline_detail():
         raise ParamValueError("Invalid device_type.")
 
     analyser = AnalyserFactory.instance().get_analyser(
-        'timeline', profiler_dir, device_id)
+        'timeline', profiler_dir_abs, device_id)
     timeline = analyser.get_display_timeline(device_type)
 
     return jsonify(timeline)
diff --git a/mindinsight/profiler/common/exceptions/error_code.py b/mindinsight/profiler/common/exceptions/error_code.py
index a592e192..3376d91b 100644
--- a/mindinsight/profiler/common/exceptions/error_code.py
+++ b/mindinsight/profiler/common/exceptions/error_code.py
@@ -52,8 +52,6 @@ class ProfilerErrors(ProfilerMgrErrors):
     PIPELINE_OP_NOT_EXIST_ERROR = 8 | _ANALYSER_MASK
 
 
-
-
 @unique
 class ProfilerErrorMsg(Enum):
     """Profiler error messages."""
diff --git a/mindinsight/profiler/common/util.py b/mindinsight/profiler/common/util.py
index 4612280c..447bc06a 100644
--- a/mindinsight/profiler/common/util.py
+++ b/mindinsight/profiler/common/util.py
@@ -20,6 +20,8 @@ This module provides the utils.
 import os
 
 from mindinsight.datavisual.utils.tools import to_int
+from mindinsight.profiler.common.exceptions.exceptions import ProfilerDirNotFoundException
+from mindinsight.datavisual.common.exceptions import TrainJobNotExistError
 
 # one sys count takes 10 ns, 1 ms has 100000 system count
 PER_MS_SYSCNT = 100000
@@ -172,7 +174,18 @@ def get_field_value(row_info, field_name, header, time_type='realtime'):
 
     return value
 
+
 def get_options(options):
+    """Get options."""
     if options is None:
         options = {}
     return options
+
+
+def check_train_job_and_profiler_dir(profiler_dir_abs):
+    """ check the existence of train_job and profiler dir """
+    train_job_dir_abs = os.path.abspath(os.path.join(profiler_dir_abs, '..'))
+    if not os.path.exists(train_job_dir_abs):
+        raise TrainJobNotExistError(error_detail=train_job_dir_abs)
+    if not os.path.exists(profiler_dir_abs):
+        raise ProfilerDirNotFoundException(msg=profiler_dir_abs)
diff --git a/tests/ut/backend/profiler/test_profiler_api_minddata_pipeline.py b/tests/ut/backend/profiler/test_profiler_api_minddata_pipeline.py
index af720bfb..ba34119e 100644
--- a/tests/ut/backend/profiler/test_profiler_api_minddata_pipeline.py
+++ b/tests/ut/backend/profiler/test_profiler_api_minddata_pipeline.py
@@ -31,6 +31,7 @@ class TestMinddataPipelineApi:
         self._url_op_queue = '/v1/mindinsight/profile/minddata-pipeline/op-queue'
         self._url_queue = '/v1/mindinsight/profile/minddata-pipeline/queue'
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.profiler.profile_api.settings')
     @mock.patch('mindinsight.profiler.analyser.base_analyser.BaseAnalyser.query')
     def test_get_minddata_pipeline_op_queue_info_1(self, *args):
@@ -83,6 +84,7 @@ class TestMinddataPipelineApi:
         assert response.status_code == 400
         assert expect_result == response.get_json()
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.profiler.profile_api.settings')
     def test_get_minddata_pipeline_op_queue_info_4(self, *args):
         """Test the function of querying operator and queue information."""
@@ -98,6 +100,7 @@ class TestMinddataPipelineApi:
         assert response.status_code == 400
         assert expect_result == response.get_json()
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.profiler.profile_api.settings')
     @mock.patch('mindinsight.profiler.analyser.minddata_pipeline_analyser.'
                 'MinddataPipelineAnalyser.get_op_and_parent_op_info')
@@ -141,6 +144,7 @@ class TestMinddataPipelineApi:
         assert response.status_code == 400
         assert expect_result == response.get_json()
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.profiler.profile_api.validate_and_normalize_path')
     @mock.patch('mindinsight.backend.profiler.profile_api.settings')
     def test_get_minddata_pipeline_queue_info_3(self, *args):
@@ -158,6 +162,7 @@ class TestMinddataPipelineApi:
         assert response.status_code == 400
         assert expect_result == response.get_json()
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.profiler.profile_api.settings')
     def test_get_minddata_pipeline_queue_info_4(self, *args):
         """Test the function of querying queue information."""
@@ -174,6 +179,7 @@ class TestMinddataPipelineApi:
         assert response.status_code == 400
         assert expect_result == response.get_json()
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.profiler.profile_api.settings')
     def test_get_minddata_pipeline_queue_info_5(self, *args):
         """Test the function of querying queue information."""
diff --git a/tests/ut/backend/profiler/test_profiler_restful_api.py b/tests/ut/backend/profiler/test_profiler_restful_api.py
index faa6c90a..022767fe 100644
--- a/tests/ut/backend/profiler/test_profiler_restful_api.py
+++ b/tests/ut/backend/profiler/test_profiler_restful_api.py
@@ -30,6 +30,7 @@ class TestProfilerRestfulApi(TestCase):
         self.app_client = APP.test_client()
         self.url = '/v1/mindinsight/profile/ops/search?train_id=run1&profile=profiler'
 
+    @mock.patch('mindinsight.backend.profiler.profile_api.check_train_job_and_profiler_dir')
     @mock.patch('mindinsight.backend.lineagemgr.lineage_api.settings')
     @mock.patch('mindinsight.profiler.analyser.base_analyser.BaseAnalyser.query')
     def test_ops_search_success(self, *args):