# 数据处理报错案例

-   **[数据集加载-调试小工具 py-spy](数据集加载-调试小工具-py-spy.md)**  

-   **[如何将自有数据高效的生成MindRecord格式数据集，并且防止爆内存](如何将自有数据高效的生成MindRecord格式数据集-并且防止爆内存.md)**  

-   **[在使用Dataset处理数据过程中内存占用高，怎么优化](在使用Dataset处理数据过程中内存占用高-怎么优化.md)**  

-   **[如何处理数据集加载多进程\(multiprocessing\)错误](如何处理数据集加载多进程(multiprocessing)错误.md)**  

-   **[MindRecord-Windows下中文路径问题Unexpected error. Failed to open file](MindRecord-Windows下中文路径问题Unexpected-error-Failed-to-open-file.md)**  

-   **[MindRecord数据集格式-Windows下数据集报错Invalid file, DB file can not match](MindRecord数据集格式-Windows下数据集报错Invalid-file-DB-file-can-not-match.md)**  

-   **[数据集加载-GeneratorDataset卡住、卡死](数据集加载-GeneratorDataset卡住-卡死.md)**  

-   **[GeneratorDataset报错误Unexpected error. Invalid data type](GeneratorDataset报错误Unexpected-error-Invalid-data-type.md)**  

-   **[数据集加载-GeneratorDataset数据处理报错：The pointer\[cnode\] is null](数据集加载-GeneratorDataset数据处理报错-The-pointer-cnode-is-null.md)**  

-   **[数据集报错【The data pipeline is not a tree】](数据集报错-The-data-pipeline-is-not-a-tree.md)**  

-   **[数据增强报错：Use Decode\(\) for encoded data or ToPIL\(\)](数据增强报错-Use-Decode()-for-encoded-data-or-ToPIL().md)**  

-   **[自定义数据增强报错args should be Numpy narray.Got<class tuple&gt](自定义数据增强报错args-should-be-Numpy-narray-Got-class-tuple-gt.md)**  

-   **[数据集加载-GeneratorDataset功能及常见问题](数据集加载-GeneratorDataset功能及常见问题.md)**  

-   **[数据加载-【too many open files】错误](数据加载--too-many-open-files-错误.md)**  

-   **[数据增强-【TypeError: Invalid with type】错误](数据增强--TypeError-Invalid-with-type-错误.md)**  

-   **[数据集格式-【MindRecord File could not open successfully】错误](数据集格式--MindRecord-File-could-not-open-successfully-错误.md)**  

-   **[数据集加载-has no attribute child\_sampler](数据集加载-has-no-attribute-child_sampler.md)**  

-   **[数据集加载报错DictIterator has no attribute get\_next](数据集加载报错DictIterator-has-no-attribute-get_next.md)**  

-   **[数据集加载报错-IndexError: list index out of range](数据集加载报错-IndexError-list-index-out-of-range.md)**  

-   **[数据增强后，内存不足，自动退出](数据增强后-内存不足-自动退出.md)**  

-   **[报错RuntimeError: Invalid data, Page size](报错RuntimeError-Invalid-data-Page-size.md)**  

-   **[报错TypeError: parse\(\) missing 1 required positional.](报错TypeError-parse()-missing-1-required-positional.md)**  

-   **[MindSpore报错RuntimeError: Exception thrown from PyFunc.](MindSpore报错RuntimeError-Exception-thrown-from-PyFunc.md)**  

-   **[报错GeneratorDataset num\_workers=8, this value is ...](报错GeneratorDataset-num_workers-8-this-value-is.md)**  

-   **[报错RuntimeError: Exception thrown from PyFunc.](报错RuntimeError-Exception-thrown-from-PyFunc.md)**  

-   **[报错RuntimeError: Unexpected error. Invalid data.](报错RuntimeError-Unexpected-error-Invalid-data.md)**  

-   **[图像类型错误导致执行报错：TypeError: img should be PIL image or NumPy array. Got <class 'list'\>.](图像类型错误导致执行报错-TypeError-img-should-be-PIL-image-or-NumPy-array-Got-class-list.md)**  

-   **[通道顺序错误引起matplotlib.image.imsave执行报错:raise ValueError\("Third dimension must be 3 or 4"\)](通道顺序错误引起matplotlib-image-imsave执行报错-raise-ValueError(-Third-dimension-must-be-3-or-4-).md)**  

-   **[cv2.imwrite保存Tensor引起类型报错:cv2.error: OpenCV\(4.6.0\) :-1: error: \(-5:Bad argument\) in function 'imwrite'](cv2-imwrite保存Tensor引起类型报错-cv2-error-OpenCV(4-6-0)--1-error-(-5-Bad-argument)-in-function-imwrite.md)**  

-   **[cv2保存图片类型错误执行报错cv2. error: OpenCV\(4.6.0\) :-1: error: \(-5:Bad argument\) in function 'imwrite' - img is not a numpy array](cv2保存图片类型错误执行报错cv2-error-OpenCV(4-6-0)--1-error-(-5-Bad-argument)-in-function-imwrite---img-is-not-a.md)**  

-   **[MindSpore报错RuntimeError: Invalid data, the number of schema should be positive but got: 0. Please checkthe input schema.](MindSpore报错RuntimeError-Invalid-data-the-number-of-schema-should-be-positive-but-got-0-Please-checkt.md)**  

-   **[MindSpore报错MRMOpenError: MindRecord File could not open successfully.](MindSpore报错MRMOpenError-MindRecord-File-could-not-open-successfully.md)**  

-   **[MindSpore报错RuntimeError: Invalid python function, the 'source' of 'GeneratorDataset' should return same number ...](MindSpore报错RuntimeError-Invalid-python-function-the-source-of-GeneratorDataset-should-return-same-nu.md)**  

-   **[MindSpore报错ValueError: when loss\_fn is not None, train\_dataset should return two elements, but got 3](MindSpore报错ValueError-when-loss_fn-is-not-None-train_dataset-should-return-two-elements-but-got-3.md)**  

-   **[MindSpore数据类型转换结果不符合预期](MindSpore数据类型转换结果不符合预期.md)**  

-   **[MindSpore报错TypeError:parse\(\) missing 1 required positional argument: ‘self’](MindSpore报错TypeError-parse()-missing-1-required-positional-argument-self.md)**  

-   **[使用mindspore.ops.interpolate报错ValueError:For "scale\_factor" option cannot currentiy be set with the mode = bilinear = 4D](使用mindspore-ops-interpolate报错ValueError-For-scale_factor-option-cannot-currentiy-be-set-with-the-mod.md)**  

-   **[新节点3mindspore.dataset.Dataset.split切分数据集时randomize=True时分割出的数据不够随机问题](新节点3mindspore-dataset-Dataset-split切分数据集时randomize-True时分割出的数据不够随机问题.md)**  

-   **[MindSpore拆分dataset输入给多输入模型](MindSpore拆分dataset输入给多输入模型.md)**  

-   **[使用ImageFolderDataset读取图片在进行PIL转化的时候出现报错](使用ImageFolderDataset读取图片在进行PIL转化的时候出现报错.md)**  

-   **[MindSpore如何对使用了自定义采样器的数据集进行分布式采样](MindSpore如何对使用了自定义采样器的数据集进行分布式采样.md)**  

-   **[ImageFolderDataset读取图片在进行PIL转化的时候出现报错](ImageFolderDataset读取图片在进行PIL转化的时候出现报错.md)**  

-   **[使用MindSpore读取数据报错RuntimeError:Exception thrown from dataset pipeline. Refer to 'Dataset Pipline Error Message'.](使用MindSpore读取数据报错RuntimeError-Exception-thrown-from-dataset-pipeline-Refer-to-Dataset-Pipline-Error.md)**  

-   **[使用MindSpore对vision.SlicePatches的数据集切分和合并](使用MindSpore对vision-SlicePatches的数据集切分和合并.md)**  

-   **[MindSpore调用Dataset.batch\(\)中per\_batch\_map函数出错](MindSpore调用Dataset-batch()中per_batch_map函数出错.md)**  

-   **[使用MindSpore对vision.SlicePatches的数据集切分和合并](使用MindSpore对vision-SlicePatches的数据集切分和合并-0.md)**  

-   **[报错：mindspore.\_c\_expression.typing.TensorType object is not callable](报错-mindspore-_c_expression-typing-TensorType-object-is-not-callable.md)**  

-   **[Ascend print数据落盘使用](Ascend-print数据落盘使用.md)**  

-   **[MindSpore在construct中进行标量计算](MindSpore在construct中进行标量计算.md)**  

-   **[MindSpore报错：module 'mindspore.dataset.vision' has no attribute 'Normalize'](MindSpore报错-module-mindspore-dataset-vision-has-no-attribute-Normalize.md)**  

-   **[使用Dataset处理数据过程中如何优化内存占用高的问题](使用Dataset处理数据过程中如何优化内存占用高的问题.md)**  

