# 数据处理案例

-   **[Mindrecoder 格式转换报错ValueError: For 'Mul'. x.shape and y.shape need to broadcast. The value of x. shapel-2\] or y.shape\[-2\] must be 1 or -1 when they a are not the same, but got x.shape = \[2, 2047,2047\] and y.shape = \[1. 2048, 2048\]](Mindrecoder-格式转换报错ValueError-For-Mul-x-shape-and-y-shape-need-to-broadcast-The-value-of-x-shapel-2-o.md)**  

-   **[数据处理成Mindrecord数据时出现ImportError: cannot import name 'tik' from 'te'](数据处理成Mindrecord数据时出现ImportError-cannot-import-name-tik-from-te.md)**  

-   **[MindSpore报错Failed to combine the net and the parameters for param backbone.embedding.word\_embedding.embedding\_table.](MindSpore报错Failed-to-combine-the-net-and-the-parameters-for-param-backbone-embedding-word_embedding.md)**  

-   **[MindSpore训练报错TypeError: Invalid Kernel Build Info! Kernel type: AICPU\_KERNEL, node: Default/Concat-op1](MindSpore训练报错TypeError-Invalid-Kernel-Build-Info-Kernel-type-AICPU_KERNEL-node-Default-Concat-op1.md)**  

-   **[MindSpore模型正向报错Sync stream failed:Ascend\_0，plog显示Gather算子越界](MindSpore模型正向报错Sync-stream-failed-Ascend_0-plog显示Gather算子越界.md)**  

-   **[model.train报错Exception in training: The input value must be int and must \> 0, but got '0' with type 'int'.](model-train报错Exception-in-training-The-input-value-must-be-int-and-must-0-but-got-0-with-type-int.md)**  

-   **[数据集异常导致编译\(model.build\)或者训练\(model.train\)卡住](数据集异常导致编译(model-build)或者训练(model-train)卡住.md)**  

-   **[baichaun2-13b 在Ascend910上持续溢出](baichaun2-13b-在Ascend910上持续溢出.md)**  

-   **[MTP数据集分布式读写锁死，Failed to execute the sql \[SELECT NAME from SHARD NAME;\] while verifying meta file, database is locked\]](MTP数据集分布式读写锁死-Failed-to-execute-the-sql-SELECT-NAME-from-SHARD-NAME-while-verifying-meta-file-databa.md)**  

-   **[MTP任务卡死，平台报错信息\['ROOT\_CLUSTER'\] job failed.](MTP任务卡死-平台报错信息-ROOT_CLUSTER-job-failed.md)**  

-   **[大模型获取性能数据方法](大模型获取性能数据方法.md)**  

-   **[模型解析性能数据](模型解析性能数据.md)**  

-   **[数据集处理结果精细对比](数据集处理结果精细对比.md)**  

-   **[通过优化数据来加速训练速度](通过优化数据来加速训练速度.md)**  

