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#1204 启智集群mindspore2.2镜像NPU不可用，提供CANN较新版本的镜像

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created 4 months ago by Yuxiang · 1 comments
Yuxiang commented 4 months ago

问题描述

启智集群 NPU 镜像 mindspore2.2_cann7_xianxing，运行mindspore测试报异常，报错：Segmentation fault (core dumped)，npu-smi info无法正确识别NPU。

相关环境（GPU/NPU）

环境：启智集群 NPU
镜像：mindspore2.2_cann7_xianxing

相关集群（启智/智算）

启智

任务类型（调试/训练/推理）

调试

任务名

yuxia202312281548983

日志说明或问题截图

(MindSpore) [ma-user Ascend]$python -c "import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()"
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
MindSpore version: 2.2.0
The result of multiplication calculation is correct, MindSpore has been installed on platform [Ascend] successfully!
Segmentation fault (core dumped)
(MindSpore) [ma-user Ascend]$npu-smi info
npu-smi: symbol lookup error: npu-smi: undefined symbol: dsmi_subscribe_fault_event

期望的解决方案或建议

期望提供可用的mindspore2.2或以上版本镜像，或CANN 7.0.RC1.beta1或以上版本镜像
目前平台上mindspore和CANN镜像版本较低，无法调试2023年度更新的代码

<!-- 为了更有效地识别与解决您的问题，请尽可能的补充如下信息 --> ### 问题描述 启智集群 NPU 镜像 mindspore2.2_cann7_xianxing，运行mindspore测试报异常，报错：Segmentation fault (core dumped)，npu-smi info无法正确识别NPU。 ### 相关环境（GPU/NPU） 环境：启智集群 NPU 镜像：mindspore2.2_cann7_xianxing ### 相关集群（启智/智算） 启智 ### 任务类型（调试/训练/推理） 调试 ### 任务名 yuxia202312281548983 ### 日志说明或问题截图 (MindSpore) [ma-user Ascend]$python -c "import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()" /home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) MindSpore version: 2.2.0 The result of multiplication calculation is correct, MindSpore has been installed on platform [Ascend] successfully! Segmentation fault (core dumped) (MindSpore) [ma-user Ascend]$npu-smi info npu-smi: symbol lookup error: npu-smi: undefined symbol: dsmi_subscribe_fault_event ### 期望的解决方案或建议 期望提供可用的mindspore2.2或以上版本镜像，或CANN 7.0.RC1.beta1或以上版本镜像 目前平台上mindspore和CANN镜像版本较低，无法调试2023年度更新的代码
Yuxiang commented 4 months ago
Poster

mindspore2.2_cann7_xianxing 2024-01-05日测试，已经能够正常使用，感谢！

EulerOS 2.0 (SP8), CANN-7.0.RC1 [V100R001C29],[V100R001C30],[V100R001C13],[V100R003C10],[V100R003C11]
Tips:
1) Navigate to the target conda environment. For details, see /home/ma-user/README.
2) Copy (Ctrl+C) and paste (Ctrl+V) on the jupyter terminal.
3) Store your data in /home/ma-user/work, to which a persistent volume is mounted.
(MindSpore) [ma-user work]$python -c "import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()"
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
  setattr(self, word, getattr(machar, word).flat[0])
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
  setattr(self, word, getattr(machar, word).flat[0])
MindSpore version:  2.2.0
The result of multiplication calculation is correct, MindSpore has been installed on platform [Ascend] successfully!
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
  setattr(self, word, getattr(machar, word).flat[0])
/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
  setattr(self, word, getattr(machar, word).flat[0])
mindspore2.2_cann7_xianxing 2024-01-05日测试，已经能够正常使用，感谢！ ``` EulerOS 2.0 (SP8), CANN-7.0.RC1 [V100R001C29],[V100R001C30],[V100R001C13],[V100R003C10],[V100R003C11] Tips: 1) Navigate to the target conda environment. For details, see /home/ma-user/README. 2) Copy (Ctrl+C) and paste (Ctrl+V) on the jupyter terminal. 3) Store your data in /home/ma-user/work, to which a persistent volume is mounted. (MindSpore) [ma-user work]$python -c "import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()" /home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) MindSpore version: 2.2.0 The result of multiplication calculation is correct, MindSpore has been installed on platform [Ascend] successfully! /home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) ```
Yuxiang closed this issue 4 months ago
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