# 分布式并行报错案例

-   **[报错ERROR：the value of strategy must be the power of 2, but get xx](报错ERROR-the-value-of-strategy-must-be-the-power-of-2-but-get-xx.md)**  

-   **[并行模式配置报错：Parallel mode dose not support semi\_parallel](并行模式配置报错-Parallel-mode-dose-not-support-semi_parallel.md)**  

-   **[Ascend多卡训练报错davinci\_model : load task fail, return ret xxx](Ascend多卡训练报错davinci_model-load-task-fail-return-ret-xxx.md)**  

-   **[docker下运行分布式代码报nccl错误：connect returned Connection timed out，成功解决](docker下运行分布式代码报nccl错误-connect-returned-Connection-timed-out-成功解决.md)**  

-   **[MindSpore报错Please try to reduce 'batch\_size' or check whether exists extra large shape.](MindSpore报错Please-try-to-reduce-batch_size-or-check-whether-exists-extra-large-shape.md)**  

-   **[MindSpore报错：wq.weight in the argument 'net' should have the same shape as wq.weight in the argument 'parameter\_dict'.](MindSpore报错-wq-weight-in-the-argument-net-should-have-the-same-shape-as-wq-weight-in-the-argument-pa.md)**  

-   **[多机训练报错：import torch\_npu.\_C ImportError: libascend\_hal.so: cannot open shared object file: No such file or directory](多机训练报错-import-torch_npu-_C-ImportError-libascend_hal-so-cannot-open-shared-object-file-No-such-file.md)**  

-   **[MindSpore微调qwen1.5 报错AllocDeviceMemByEagerFree failed, alloc size](MindSpore微调qwen1-5-报错AllocDeviceMemByEagerFree-failed-alloc-size.md)**  

-   **[使用MindSpore的get\_auto\_parallel\_context\("device\_num"\)识别设备信息错误](使用MindSpore的get_auto_parallel_context(-device_num-)识别设备信息错误.md)**  

-   **[docker执行报错：RuntimeError: Maybe you are trying to call 'mindspore.communication.init\(\)' without using 'mpirun'](docker执行报错-RuntimeError-Maybe-you-are-trying-to-call-mindspore-communication-init()-without-using-mp.md)**  

-   **[Ascend环境运行mindspore脚本报：网络脚本的设备被占用，只支持每张卡运行一个网络脚本](Ascend环境运行mindspore脚本报-网络脚本的设备被占用-只支持每张卡运行一个网络脚本.md)**  

