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

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

企业开发 2023-05-04 17:57:09 阅读次数: 0

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转载自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 512. KiB for an array with shape (65536,)

【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

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

[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 xx MiB for an array with shape (10000, 32) and data type float64

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 )

numpy.array 的shape

Numpy.array中的shape

numpy中 array数组的shape属性

RuntimeError: CUDA out of memory. Tried to allocate 2.08 GiB (GPU 0； 4.00 GiB total capacity； 274.14

python numpy array中维度的区别 array.shape

RuntimeError: CUDA out of memory. Tried to allocate 2.00 MiB (GPU 0; 11.00 GiB total capacity; 8.53 GiB already allocate解决办法

numpy/tensorflow筛选/过滤得到array/tensor的shape注意点

RuntimeError: CUDA out of memory. Tried to allocate 352.00 MiB (GPU 0; 7.80 GiB total capacity; 6.45

RuntimeError: CUDA out of memory. Tried to allocate 98.00 MiB (GPU 0; 5.79 GiB total capacity; 4.75

RuntimeError: CUDA out of memory. Tried to allocate 132.00 MiB (GPU 2; 3.95 GiB total capacity; 3.41

RuntimeError: CUDA out of memory. Tried to allocate 320.00 MiB (GPU 0； 10.92 GiB total capacity； 9.9

报错`RuntimeError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0； 9.78 GiB total capaci

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

RuntimeError: CUDA out of memory. Tried to allocate 170.00 MiB (GPU 0； 3.82 GiB total capacity； 1.94

【E-02】内存不足RuntimeError: CUDA out of memory. Tried to allocate 16.00 MiB (GPU 0; 2.00 GiB total capacity; 1.34 GiB already allocated; 14.76 MiB free; 1.38 GiB reserved in total by PyTorch)

解决：RuntimeError: CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0； 2.00 GiB total capacity； 1

解决：RuntimeError: CUDA out of memory. Tried to allocate 160.00 MiB (GPU 0； 10.76 GiB total capacity..

成功解决torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 86.00 MiB (GPU 0； 2.00 GiB to

解决：RuntimeError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0； 4.00 GiB total capacity； 2

CUDA out of memory. Tried to allocate 896.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 4

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