adapte the aicpu update

mindinsight/profiler/analyser/analyser.py

@@ -262,9 +262,8 @@ class AicpuAnalyser(BaseAnalyser):
     Raises:
         ProfilerPathErrorException: If the profiling dir is invalid.
     """
-    _col_names = ['serial_number', 'op_name', 'total_time', 'dispatch_time',
-                  'RunV2_start', 'compute_start', 'memcpy_start', 'memcpy_end',
-                  'RunV2_end']
+    _col_names = ['serial_number', 'op_type', 'total_time', 'dispatch_time',
+                  'run_start', 'run_end']
     _file_name_aicpu_time = 'aicpu_intermediate_{}.csv'
 
     def _load(self):
@@ -306,4 +305,4 @@ class AicpuAnalyser(BaseAnalyser):
             list[Union[str, float]], the converted data.
         """
         return [int(row[0]), row[1], float(row[2]), float(row[3]), int(row[4]),
-                int(row[5]), int(row[6]), int(row[7]), int(row[8])]
+                int(row[5])]

mindinsight/profiler/analyser/integrator.py

@@ -33,9 +33,8 @@ class Integrator:
     _header_aicore_type = ['op_type', 'execution_time', 'execution_frequency',
                            'percent']
     _header_aicore_detail = ['full_op_name', 'execution_time']
-    _header_aicpu = ['serial_number', 'op_name', 'total_time', 'dispatch_time',
-                     'RunV2_start', 'compute_start', 'memcpy_start',
-                     'memcpy_end', 'RunV2_end']
+    _header_aicpu = ['serial_number', 'op_type', 'total_time', 'dispatch_time',
+                     'run_start', 'run_end']
 
     def __init__(self, profiling_dir, device_id):
         self._profiling_dir = profiling_dir

mindinsight/profiler/common/validator/validate.py

@@ -25,8 +25,8 @@ 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"]
-AICPU_COL = ["serial_number", "op_name", "total_time", "dispatch_time", "RunV2_start",
-             "compute_start", "memcpy_start", "memcpy_end", "RunV2_end"]
+AICPU_COL = ["serial_number", "op_type", "total_time", "dispatch_time", "run_start",
+             "run_end"]
 MINDDATA_PIPELINE_COL = [
     'op_id', 'op_type', 'num_workers', 'output_queue_average_size',
     'output_queue_length', 'output_queue_usage_rate', 'sample_interval',