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

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

Enterprise 2023-05-04 19:02:01 views: null

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Origin blog.csdn.net/weixin_46713695/article/details/130129063

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

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

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

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

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

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

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

RuntimeError: CUDA out of memory. Tried to allocate 22.00 MiB (GPU 0； 10.76 GiB total capacity； 9.61

Unable to allocate resources: Invalid account or account/partition combination specified

[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

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RuntimeError: CUDA sin memoria. Probamos para asignar 2,00 MiB (GPU 0; 11,00 capacidad total GiB; 8,53 GiB ya asignar 解决办法

RuntimeError: CUDA sin memoria. Intenté asignar 2,08 GiB (GPU 0 ； 4,00 GiB de capacidad total ； 274,14

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RuntimeError: CUDA sin memoria. Intenté asignar 352.00 MiB (GPU 0; 7.80 GiB capacidad total; 6.45

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