Describe the current behavior / 问题描述 (Mandatory / 必填)

910A环境，非下沉模式，resnet50网络 ，pynative模式下开启profiler，单卡训练，profiler解析耗时太长

Environment / 环境信息 (Mandatory / 必填)

• Hardware Environment(Ascend/GPU/CPU) / 硬件环境:

Please delete the backend not involved / 请删除不涉及的后端:
/device ascend

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (e.g., 1.7.0.Bxxx) :
  -- Python version (e.g., Python 3.7.5) :
  -- OS platform and distribution (e.g., Linux Ubuntu 16.04):
  -- GCC/Compiler version (if compiled from source):
  commit_id = '[sha1]:aa16e0b8,[branch]:(HEAD,origin/r2.3,r2.3)'
  runpkg_version:Milan_C17/20240408

• Excute Mode / 执行模式 (Mandatory / 必填)(PyNative/Graph):

Please delete the mode not involved / 请删除不涉及的模式:
/mode pynative

Related testcase / 关联用例 (Mandatory / 必填)

test_ms_mi_profiler_pynative_resnet50_1p_0001

Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)

1、取mindspore model_zoo中网络resnet50,将训练脚本中的图模式参数设置为pynative,设置为数据非下沉模式,然后开启profiler，执行网络训练，检查生成profiling数据及mindinsight展示情况

用例复现步骤：
source /home/miniconda3/bin/activate ci
export TRAIN_MODE=PYNATIVE_MODE
export DEVICE_TYPE=Ascend_Arm
export ENV_DEVICE=0
source solution_test/env_set.source -e ascend

cd solution_test/cases/03subject_test/02usability/perf_tuning/profiler_pynative
pytest -s test_ms_mi_profiler_pynative_resnet50_1p_0001.py

Describe the expected behavior / 预期结果 (Mandatory / 必填)

用例执行不能超过30分钟，训练需时5分钟左右，profiler解析耗时正常，最好20分钟内完成

Related log / screenshot / 日志 / 截图 (Mandatory / 必填)

训练日志： 如下几个告警步骤都耗时33分钟了
[INFO] PROFILING(5613,python):2024-04-15-14:22:56.234.356 [prof_inner_api.cpp:105] >>> (tid:5613) total_size_report [additional] read size: 924301 bytes, write size: 924301 bytes
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:22:56.488.414 [mindspore/profiler/parser/ascend_msprof_exporter.py:76] [Profiler]The msprof command was not found. Searching from environment variables...
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:45:25.226.868 [mindspore/profiler/parser/ascend_timeline_generator.py:168] Could not find cpu op file in /home/jenkins/wenli/solution_test/cases/03subject_test/02usability/perf_tuning/profiler_pynative/test_ms_mi_profiler_pynative_resnet50_1p_0001/pynative_resnet50_1p/profiler
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:51:50.519.448 [mindspore/profiler/profiling.py:1308] [Profiler]The parameter profile_memory is not supported on Ascend PyNative mode currently.
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:51:50.526.479 [mindspore/profiler/parser/memory_usage_parser.py:141] The memory file does not exist! Please ignore the warning if you are running heterogeneous training.
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:51:50.526.972 [mindspore/profiler/profiling.py:1314] The file </home/jenkins/wenli/solution_test/cases/03subject_test/02usability/perf_tuning/profiler_pynative/test_ms_mi_profiler_pynative_resnet50_1p_0001/pynative_resnet50_1p/profiler/memory_usage_0.pb> not found.
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:55:28.685.133 [mindspore/profiler/parser/msadvisor_parser.py:161] The aicore timeline file does not exist!
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:55:28.685.508 [mindspore/profiler/profiling.py:1421] MSAdvisor running failed. [ProfilerFileNotFoundException] code: 50546084, msg: The file </home/jenkins/wenli/solution_test/cases/03subject_test/02usability/perf_tuning/profiler_pynative/test_ms_mi_profiler_pynative_resnet50_1p_0001/pynative_resnet50_1p/profiler/output_timeline_data_0.txt> not found.
[WARNING] ME(5613:281472934203408,MainProcess):2024-04-15-14:55:28.686.584 [mindspore/profiler/profiling.py:1425] Pynative mode does not support MSAdvisor analyzer currently.

Special notes for this issue/备注 (Optional / 选填)

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