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grizxlyzx avatar grizxlyzx commented on May 23, 2024 6

不能多显卡,问题在于chatglm.cpp中,宏定义:
#ifdef GGML_USE_CUBLAS(出现两次,分别对应glm和glm2)中, tensor->backend = GGML_BACKEND_GPU;
这使ggml不会把模型split到多个设备上,将两处都改为
tensor->backend = GGML_BACKEND_GPU_SPLIT;
,则会使ggml根据设备显存和性能,将模型按比例split到多块设备上运行。

from chatglm.cpp.

3wweiweiwu avatar 3wweiweiwu commented on May 23, 2024

最近版本更新了,现在似乎只有一处tensor->backend = GGML_BACKEND_GPU。我试着修改之后编译,之后运行一直报错。请问LZ有什么思路吗?谢谢啦

ggml_init_cublas: found 4 CUDA devices:
Device 0: Tesla M60, compute capability 5.2
Device 1: Tesla M60, compute capability 5.2
Device 2: Tesla M60, compute capability 5.2
Device 3: Tesla M60, compute capability 5.2
GGML_ASSERT: /home/xxs/chatglm.cpp/third_party/ggml/src/ggml-cuda.cu:6100: false
Aborted (core dumped)

from chatglm.cpp.

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