【MindSpore报错解决地图】常见报错问题分类（持续更新）

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MindSpore常见问题主要包括数据加载与处理问题、网络构建与训练问题以及分布式并行配置问题等。MindSpore在不同场景下，积累了大量常见的问题案例。以下是对应的案例列表。 

1、数据集加载与增强报错案例 

MindSpore数据集加载-调试小工具 py-spy

【MindData】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。

【MindData】在使用Dataset处理数据过程中内存占用高，怎么优化

如何处理数据集加载多进程(multiprocessing)错误

MindRecord-Windows下中文路径问题Unexpected error. Failed to open file

MindRecord-Windows下数据集报错Invalid file, DB file can not match

MindSpore数据集加载-GeneratorDataset卡住、卡死

GeneratorDataset报错误Unexpected error. Invalid data type 

GeneratorDataset数据处理报错：The pointer[cnode] is null

MindSpore数据集报错【The data pipeline is not a tree】

MindSpore数据增强报错：Use Decode() for encoded data or ToPIL()

MindSpore自定义数据增强报错args should be Numpy narray.Got class tuple

MindSpore数据集加载-GeneratorDataset功能及常见问题 

MindSpore数据集加载-【too many open files】错误

MindSpore数据增强-【 Invalid with type】错误

MindSpore数据集格式-【MindRecord File could not open successfully】

MindSpore数据集加载-【 has no attribute 'child_sampler'】

MindSpore数据集加载-【'DictIterator' has no attribute 'get_next'】错误

MindSpore数据集加载-【IndexError: list index out of range】错误

MindSpore报错: Unexpected error. Inconsistent batch ..

MindSpore数据增强: 内存不足，自动退出 

MindSpore报错: Invalid data, Page size.

MindSpore报错: parse() missing 1 required positional.

MindSpore报错: Unable to data from Generator..

MindSpore报错：GeneratorDataset's num_workers=8, this value is ...

MindSpore报错: Exception thrown from PyFunc.

MindSpore报错: Unexpected error. Invalid data.

图像类型错误导致执行报错：TypeError: img should be PIL image or NumPy array. Got .

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

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

2、网络构建与训练报错案例 

MindSpore报错: Exceed function call depth limit 1000解决

MindSpore报错: 'Tensor' has no attribute 'data'

MindSpore报错: 'NoneType' has no attribute 'name'

Mindspore报错: the dimension of logits must be equal to 2

MindSpore报错：For 'Pad',all elements of paddings must >=0

MindSpore报错：For primitive[BinaryCrossEntropy], the x shape must be equal to 

MindSpore报错: For 'Tensor',the type of input_data should be  one of 'Tensor', 'ndarray' ...

MindSpore报错: Data type conversion of 'Parameter' is not supported

MindSpore报错: ScalarAdd不支持bool类型

MindSpore报错: ReduceSum算子不支持8维及以上的输入

MindSpore报错: Unsupported parameter type for python primitive..

MindSpore报错：Primitive ScatterAdd's bprop not defined

MindSpore报错：For 'Conv2d',x shape的C_in除以group应等于weight的C_in

MindSpore报错：For 'Reshape', the shape of 'input_x' is ...,but product

MindSpore报错：For 'Sub', x.shape and y.shape are supposed to broadcast

MindSpore报错：For 'MatMul', the input dimensions must be equal,

MindSpore报错：Cann't select valid kernel[Default/Pow-op]

MindSpore报错：rank in NLLLoss should be int and must be

MindSpore报错：operator[StridedSlice]  input(kNumberTypeUInt16) output(kNumberTypeUInt16) is not supported.

MindSpore报错：Select GPU kernel op * fail! Incompatible data type

MindSpore报错：For 'MirrorPad', paddings must be a Tensor with

MindSpore报错：For primitive[TensorSummary], the v rank must be greater than 0

MindSpore报错：For 'CellList', each cell should be subclass of Cell

MindSpore报错：task_fail_info or current_graph_ is nullptr

MindSpore报错：`padding_idx` in Embedding 超出范围的报错

MindSpore报错：seed2 in `StandardNormal` should be int and >=0

MindSpore报错：ReduceMean不支持8维及其以上的输入

MindSpore报错：output_shape shape element [2] must be positive integer or SHP_ANY

MindSpore报错：For 'TopK', the type of 'x' should be ...

MindSpore报错：Minimum inputs size 0 does not match... 

MindSpore报错：`half_pixel_centers`=True only support in Ascend

MindSpore报错：For 'AvgPool' 输出的shape每一维都要大于零

MindSpore报错：The function `construct` need xx positional argument ...

MindSpore报错：Operator[ ] input( ) output( ) is not support

MindSpore报错：sth should be initialized as a Parameter type in ...

MindSpore报错："operation does not support the type kMetaTypeNone"

MindSpore报错：When '...' by using Fallback feature, an error occurred

MindSpore报错: Net parameters weight shape xxx i

MindSpore GPU设备算力不足导致计算结果错误

MindSpore报错：设置卡失败 SetDevice failed

mindspore报错：Total stream number xxx exceeds the limit of ...

MindSpore报错：[LoadTask] Distribute Task Failed

MindSpore报错：GPU训练提示分配流失败[cudaStreamCreate failed]

MindSpore报错：出现内存申请大小为0的错误[The memory alloc size is 0]

MindSpore报错：Please input the correct checkpoint

MindSpore告警："xxx parameters in the net are not

MindSpore报错：For 'context.set_context', package type xxx support 'devic

MindSpore报错：PyNative模式下The pointer[top_cell_] is null

MindSpore报错：Malloc device memory failed

MindSpore报错: Please input the correct checkpoint 

MindSpore求导传入sens值报错: For 'MatMul', the input dimensions

没有ckpt文件导致模型加载执行报错：please check whether the 'ckpt_file_name' is correct

Tensor张量shape不匹配导致执行报错：ValueError: For 'Sub', x.shape and y.shape are supposed to broadcast

自定义loss没有继承nn.Cell导致执行报错：ParseStatement Unsupported statement 'Try'.

参数类型错误导致优化器执行报错：TypeError: For 'Optimizer', the argument parameters must be Iterable type

形参与实参的不对应导致ops.GradOperation执行报错：The parameters number of the function is 2, but the number of provided arguments is 1.

return回来的参数承接问题导致执行报错：AttributeError: 'tuple' object has no attribute 'asnumpy'

维度数错误引起模型输入错误：For primitive Conv2D, the x shape size must be equal to 4, but got 3.

报错：The value parameter,it's name 'xxxx' already exsts. please set a unique name for the parameter .

construct方法名称错误引起损失函数执行报错:The 'sub' operation does not support the type TensorFloat32, None.

RuntimeError:The 'sub' operation does not support the type TensorFloat32, None.

注释不当报错：There are incorrect indentations in definition or comment of function: 'Net.construct'.

静态图执行卡死问题：For MakeTuple, the inputs should not be empty..node:xxxxxxxxxxxx 

mindspore报错: module() takes at most 2 arguments (3 given)

split后For 'Mul', x.shape and y.shape are supposed to broadcast

The operation does not support the type kMetaTypeNone, Tesor...

3、分布式并行报错案例 

报错：the value of strategy must be the power of 2, but get xx

报错：PyNative Only support STAND_ALONE, DATA_PARALLEL...

报错：Parallel mode dose not support

报错：davinci_model : load task fail, return ret

报错：connect returned Connection timed out