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检查升级结果

通过MindCluster Ascend Deployer工具升级完成后,可以通过执行如下操作检查各组件的版本及能否正常工作。

<target>可选范围可通过执行bash install.sh --help查看或参考install参数说明
bash install.sh --test=<target>

全量检查

检查已安装的全量组件及版本信息。
bash install.sh   --test=all                                //测试已安装的全量组件及版本信息。

回显信息如下所示。

task info:do dl test on master
[===================================================]

{'51.38.68.75': {'driver': ['OK', '24.1.0.1'], 'firmware': ['OK', '7.5.0.5.220'], 'mcu': ['npu_id_2', '24.5.7'], 'toolbox': ['OK', '7.0.RC1'], 'mindspore': ['OK', '2.5.0'], 'pytorch': ['OK', '2.1.0.post8'], 'tensorflow': ['OK', '2.6.5'], 'tfplugin': ['not installed', ''], 'nnae': ['OK', '8.0.0'], 'nnrt': ['OK', '8.0.0'], 'toolkit': ['OK', '8.0.0'], 'fault-diag': ['OK', '7.0.RC1'], 'mindie_image': ['OK', '1.0.0']}}

ubuntu: {'ascend-operator': ['OK', 'v7.0.RC1'], 'clusterd': ['OK', 'v7.0.RC1'], 'resilience-controller': ['OK', 'v7.0.RC1'], 'hccl-controller': ['not installed', ''], 'volcano': ['OK', 'v1.7.0'], 'ascend-device-plugin': ['OK', 'v7.0.RC1'], 'noded': ['OK', 'v7.0.RC1'], 'npu-exporter': ['OK', 'v7.0.RC1'], 'ascend-docker-runtime': ['OK', 'v7.0.RC1']}

npu-clusters
------------+--------------+----------------
npu         | driver       | firmware
------------+--------------+----------------
51.38.68.75 | OK, 24.1.0.1 | OK, 7.5.0.5.220
------------+--------------+----------------

mcu-version
------------+--------------
ip          | npu_id_2       
------------+--------------
51.38.68.75 | 24.5.7         
------------+--------------

cann-clusters
------------+-------------+---------------+---------------+---------------+--------------+---------------
cann        | toolbox     | tfplugin      | nnae          | nnrt          | toolkit      | mindie_image
------------+-------------+---------------+---------------+---------------+--------------+---------------
51.38.68.75 | OK, 7.0.RC1 | not installed | OK, 8.0.0     | OK, 8.0.0     | OK, 8.0.0    | OK, 1.0.0
------------+-------------+---------------+---------------+---------------+--------------+---------------

pypkg-clusters
------------+---------------+------------+-------------------+--------------
pypkg       | mindspore     | tensorflow | pytorch           | fault-diag
------------+---------------+------------+-------------------+--------------
51.38.68.75 | OK, 2.5.0     | OK, 2.6.5  | OK, 2.1.0.post8   | OK, 7.0.RC1
------------+---------------+------------+-------------------+--------------


dl-clusters(master-node)
------------+-----------------+--------------+-----------------+------------+----------------------
master-node | ascend-operator | clusterd     | hccl-controller | volcano    | resilience-controller
------------+-----------------+--------------+-----------------+------------+----------------------
ubuntu      | OK, v7.0.RC1    | OK, v7.0.RC1 | not installed   | OK, v1.7.0 | OK, v7.0.RC1   
------------+-----------------+--------------+-----------------+------------+----------------------

dl-clusters(worker-node)
------------+----------------------+-----------------------+--------------+-------------
worker-node | ascend-device-plugin | ascend-docker-runtime | noded        | npu-exporter
------------+----------------------+-----------------------+--------------+-------------
ubuntu      | OK, v7.0.RC1         | OK, v7.0.RC1          | OK, v7.0.RC1 | OK, v7.0.RC1
------------+----------------------+-----------------------+--------------+-------------
 => localhost
ascend deployer processed success
run cmd: --test=all successfully

检查NPU固件与驱动、CANN软件、MindCluster组件(性能测试、故障诊断)

可执行如下命令查询已安装软件及版本信息。

bash install.sh --test=toolbox                                     //测试toolbox是否正常

检查MindCluster集群调度

方式一:执行如下命令检查已安装的MindCluster集群调度及版本信息。示例如下。

bash install.sh --test=clusterd 

方式二:安装MindCluster集群调度后,可进入/ascend_deployer/report目录查看报告文件“report.json”“report.csv”查看安装结果及节点状态。

检查MCU固件

可执行如下命令查询MCU固件信息。

bash install.sh --test=mcu