【MemoryError】Unable to allocate xx MiB for an array with shape (10000, 32) and data type float64 - 代码天地

【MemoryError】Unable to allocate xx MiB for an array with shape (10000, 32) and data type float64

企业开发 2023-04-08 15:22:20 阅读次数: 0

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转载自blog.csdn.net/weixin_43821215/article/details/126140262

【MemoryError】Unable to allocate xx MiB for an array with shape (10000, 32) and data type float64

[报错] [Ubuntu] [Python] MemoryError: Unable to allocate array with shape (x, x) and data type float64

报错：MemoryError: Unable to allocate array with shape (131072,) and data type int64

MemoryError: Unable to allocate 6.73 GiB for an array with shape (3000, 3, 448, 448) and data type

【Debug记录】numpy.core._exceptions.MemoryError: Unable to allocate 623. MiB for an array with shape xxx

解决numpy.core._exceptions.MemoryError: Unable to allocate 1.04 MiB for an array

numpy.core._exceptions.MemoryError: Unable to allocate 512. KiB for an array with shape (65536,)

numpy.core._exceptions.MemoryError: Unable to allocate 1.45 GiB for an array with shape (13935, 1393

成功解决TypeError: Cannot cast array data from dtype('float64') to dtype('U32') according to the rule '

TypeError: Input 'b' of 'MatMul' Op has type float32 that does not match type float64 of argument 'a

can‘t convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, floa

DataConversionWarning： Data with input dtype int32, int64 were all converted to float64 by StandardS

错误：基于tensorflow识别mnist数据集出现ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[10000,32,28,28] and type float on 卷积神经网络CNN识别MNIST数据集

float32和float64的本质区别

【Pytorch】Pytorch数据类型float32和float64对深度学习影响

ValueError:could not broadcast input array from shape (450,600,3) into shape (64,64,3)

Cannot interpret ‘＜geopandas.array.GeometryDtype object as a data type

numpy.array 的shape

用虚拟机ubuntu创建大型矩阵出现内存不够怎么办？(Unable to allocate X GiB for an array with shapeUnable to allocate )

TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

如何将一个shape为（10000，3072）的数组（像素点为32x32）转换为相应的图片

Resource exhausted: OOM when allocating tensor with shape[2] and type int32 on /job:localhost/replic

TypeError: Object of type 'int64' is not JSON serializable (或者float32)

ValueError: Incompatible type conversion requested to type 'float32' for variable of type 'int32_ref

TypeError: Input 'b' of 'MatMul' Op has type int64 that does not match type float32 of argument 'a'.

ValueError: Invalid type tf.int32 for Mean_7:0, expected: [tf.float32, tf.float64, tf.float16].

报错: ResourceExhaustedError:OOM when allocating tensor of shape [21128,768] and type float

Numpy.array中的shape

Data Struct and Data Type

Unable to cast object of type 'System.Decimal' to type 'System.Array'.

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