update the display name of aicore detail execution time

mindinsight/backend/profiler/profile_api.py

@@ -71,6 +71,7 @@ def get_profile_op_info():
     validate_condition(search_condition)
 
     device_id = search_condition.get("device_id", "0")
+    to_int(device_id, 'device_id')
     profiler_dir_abs = os.path.join(settings.SUMMARY_BASE_DIR, train_id, profiler_dir)
     try:
         profiler_dir_abs = validate_and_normalize_path(profiler_dir_abs, "profiler")
@@ -193,6 +194,7 @@ def get_queue_info():
     profile_dir = get_profiler_abs_dir(request)
 
     device_id = unquote_args(request, "device_id")
+    to_int(device_id, 'device_id')
     queue_type = unquote_args(request, "type")
     queue_info = {}
 
@@ -219,6 +221,7 @@ def get_time_info():
     """
     profile_dir = get_profiler_abs_dir(request)
     device_id = unquote_args(request, "device_id")
+    to_int(device_id, 'device_id')
     op_type = unquote_args(request, "type")
 
     time_info = {
@@ -250,6 +253,7 @@ def get_process_summary():
     """
     profile_dir = get_profiler_abs_dir(request)
     device_id = unquote_args(request, "device_id")
+    to_int(device_id, 'device_id')
 
     minddata_analyser = AnalyserFactory.instance().get_analyser(
         'minddata', profile_dir, device_id)
@@ -304,6 +308,7 @@ def get_profile_summary_proposal():
     device_id = get_device_id(request)
     if not profiler_dir or not train_id:
         raise ParamValueError("No profiler_dir or train_id.")
+    to_int(device_id, 'device_id')
 
     profiler_dir_abs = os.path.join(settings.SUMMARY_BASE_DIR, train_id, profiler_dir)
     try:
@@ -360,6 +365,7 @@ def get_minddata_pipeline_op_queue_info():
     validate_minddata_pipeline_condition(condition)
 
     device_id = condition.get("device_id", "0")
+    to_int(device_id, 'device_id')
     analyser = AnalyserFactory.instance().get_analyser(
         'minddata_pipeline', profiler_dir_abs, device_id
     )
@@ -397,6 +403,7 @@ def get_minddata_pipeline_queue_info():
         raise ParamValueError("Invalid profiler dir.")
 
     device_id = request.args.get('device_id', default='0')
+    to_int(device_id, 'device_id')
     op_id = request.args.get('op_id', type=int)
     if op_id is None:
         raise ParamValueError("Invalid operator id or operator id does not exist.")

mindinsight/profiler/analyser/analyser.py

@@ -99,7 +99,7 @@ class AicoreDetailAnalyser(BaseAnalyser):
     Raises:
         ProfilerPathErrorException: If the profiling dir is invalid.
     """
-    _col_names = ['op_name', 'op_type', 'execution_time', 'subgraph',
+    _col_names = ['op_name', 'op_type', 'avg_execution_time', 'subgraph',
                   'full_op_name', 'op_info']
     _file_name_aicore_detail_time = 'aicore_intermediate_{}_detail.csv'
     _file_name_framework_info = 'framework_raw_{}.csv'

mindinsight/profiler/common/validator/validate.py

@@ -24,7 +24,7 @@ from mindinsight.profiler.common.exceptions.exceptions import ProfilerParamTypeE
 from mindinsight.profiler.common.log import logger as log
 
 AICORE_TYPE_COL = ["op_type", "execution_time", "execution_frequency", "precent"]
-AICORE_DETAIL_COL = ["op_name", "op_type", "execution_time", "subgraph", "full_op_name"]
+AICORE_DETAIL_COL = ["op_name", "op_type", "avg_execution_time", "subgraph", "full_op_name"]
 AICPU_COL = ["serial_number", "op_type", "total_time", "dispatch_time", "run_start",
              "run_end"]
 MINDDATA_PIPELINE_COL = [

tests/st/func/profiler/test_op_analyser.py

@@ -32,7 +32,7 @@ from tests.ut.profiler import RAW_DATA_BASE
 
 OP_GATHER_V2_INFO = {
     'col_name': [
-        'op_name', 'op_type', 'execution_time', 'subgraph', 'full_op_name', 'op_info'
+        'op_name', 'op_type', 'avg_execution_time', 'subgraph', 'full_op_name', 'op_info'
     ],
     'object': [
         [
@@ -213,7 +213,7 @@ class TestOpAnalyser:
                 }
             },
             'sort_condition': {
-                'name': 'execution_time',
+                'name': 'avg_execution_time',
                 'type': 'descending'
             },
             'group_condition': {

tests/ut/profiler/analyser/test_analyser_aicore_detail.py

@@ -21,8 +21,8 @@ from unittest import TestCase
 from mindinsight.profiler.analyser.analyser_factory import AnalyserFactory
 from tests.ut.profiler import PROFILER_DIR
 
-COL_NAMES = ['op_name', 'op_type', 'execution_time', 'subgraph', 'full_op_name',
-             'op_info']
+COL_NAMES = ['op_name', 'op_type', 'avg_execution_time', 'subgraph',
+             'full_op_name', 'op_info']
 
 
 def get_detail_infos(indexes=None, sort_name=None, sort_type=True):
@@ -126,12 +126,12 @@ class TestAicoreDetailAnalyser(TestCase):
         """Test the success of the querying function."""
         expect_result = {
             'col_name': COL_NAMES,
-            'object': get_detail_infos(sort_name='execution_time', sort_type=True),
+            'object': get_detail_infos(sort_name='avg_execution_time', sort_type=True),
             'size': 10
         }
         condition = {
             'sort_condition': {
-                'name': 'execution_time',
+                'name': 'avg_execution_time',
                 'type': 'descending'
             }
         }
@@ -187,7 +187,7 @@ class TestAicoreDetailAnalyser(TestCase):
         expect_result = {
             'col_name': COL_NAMES,
             'object': get_detail_infos(
-                indexes=[1, 2], sort_name='execution_time', sort_type=True
+                indexes=[1, 2], sort_name='avg_execution_time', sort_type=True
             ),
             'size': 4
         }
@@ -198,7 +198,7 @@ class TestAicoreDetailAnalyser(TestCase):
                 }
             },
             'sort_condition': {
-                'name': 'execution_time'
+                'name': 'avg_execution_time'
             },
             'group_condition': {
                 'limit': 2,
@@ -211,7 +211,7 @@ class TestAicoreDetailAnalyser(TestCase):
         expect_result = {
             'col_name': COL_NAMES,
             'object': get_detail_infos(
-                indexes=[0, 1, 2, 8], sort_name='execution_time', sort_type=True
+                indexes=[0, 1, 2, 8], sort_name='avg_execution_time', sort_type=True
             ),
             'size': 4
         }
@@ -225,7 +225,7 @@ class TestAicoreDetailAnalyser(TestCase):
                 }
             },
             'sort_condition': {
-                'name': 'execution_time'
+                'name': 'avg_execution_time'
             }
         }
         result = self._analyser.query(condition)