GPU环境运行Serving报错,GPU count is: 0。
terminate called after throwing an instance of 'paddle::platform::EnforceNotMet'
what():
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C++ Call Stacks (More useful to developers):
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0 std::string paddle::platform::GetTraceBackString(std::string const&, char const*, int)
1 paddle::platform::SetDeviceId(int)
2 paddle::AnalysisConfig::fraction_of_gpu_memory_for_pool() const
3 std::unique_ptr > paddle::CreatePaddlePredictor(paddle::AnalysisConfig const&)
4 std::unique_ptr > paddle::CreatePaddlePredictor(paddle::AnalysisConfig const&)
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Error Message Summary:
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InvalidArgumentError: Device id must be less than GPU count, but received id is: 0. GPU count is: 0.
[Hint: Expected id < GetCUDADeviceCount(), but received id:0 >= GetCUDADeviceCount():0.] at (/home/scmbuild/workspaces_cluster.dev/baidu.lib.paddlepaddle/baidu/lib/paddlepaddle/Paddle/paddle/fluid/platform/gpu_info.cc:211)
libcuda.so没有链接成功。首先在机器上找到libcuda.so,ldd检查libnvidia版本与nvidia-smi中版本一致(libnvidia-fatbinaryloader.so.418.39,与NVIDIA-SMI 418.39 Driver Version: 418.39),然后用export导出libcuda.so的路径即可(例如libcuda.so在/usr/lib64/,export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib64/)