RuntimeError: DefaultCPUAllocator: not enough memory: you tried to allocate 1105920 bytes. - 代码天地

RuntimeError: DefaultCPUAllocator: not enough memory: you tried to allocate 1105920 bytes.

企业开发 2023-05-18 03:17:19 阅读次数: 0

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转载自blog.csdn.net/qq_44936246/article/details/126393542

RuntimeError: DefaultCPUAllocator: not enough memory: you tried to allocate 1105920 bytes.

not enough memory: you tried to allocate 123456789 bytes.

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Allowed memory size of 134217728 bytes exhausted (tried to allocate 2611816 bytes)

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fatal: Out of memory, malloc failed (tried to allocate 1215752191 bytes) 解决

fatal: Out of memory, malloc failed(tried to allocate XXXXXXX bytes)

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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

解决RuntimeError: CUDA out of memory. Tried to allocate 236.00 MiB (GPU 0； 11.00

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

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

大概率（5重方法）解决RuntimeError: CUDA out of memory. Tried to allocate ... MiB

pytorch解决RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0； 4.00 G

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

BLAS : Program is Terminated. Because you tried to allocate too many memory regions.

PHP的内存限制 Allowed memory size of 134217728 bytes exhausted (tried to allocate 1099 bytes) in

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

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

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