libdeepvac

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libtorch性能问题调研

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# 测试步骤和方法 使用https://zhuanlan.zhihu.com/p/363319763 中的： - "PyTorch resnet50 benchmark步骤" - "LibTorch resnet50 benchmark步骤" 注意：MLab HomePod 1.0中的PyTorch版本为1.8.1 # 测试模型：resnet50 ### 环境 宿主机OS：Ubuntu 20.04 软件环境：MLab HomePod 1.0 CPU：Intel(R) Core(TM) i9-9820X CPU @ 3.30GHz...

gemfield

xinsuinizhuan

libdeepvac的性能测试数据汇总

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# 树莓派 4b - 模块：retinaface模块； - Device：**CPU** - 输入：经典test1.jpg（gemfield班级照）； - 引擎：**LibTorch** - 结果： ```bash gemfield model load time: 0.64975 img2cvmat time: 0.00924529 begin: 0 process time: 92.8428 cv circle and...

gemfield

example 里带了cuda头文件，在纯CPU环境下编译不通过

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RT，没有安装CUDA的机器，设置USE_CUDA=OFF, BUILD_ALL_EXAMPLES = OFF，因为仍然还是会编example，编译时报找不到头文件错误，具体： ``` In file included from /root/installs/libdeepvac/examples/src/test_resnet_benchmark.cpp:11: /usr/libtorch/include/c10/cuda/CUDAStream.h:6:10: fatal error: cuda_runtime_api.h: No such file or directory #include ``` 似应根据BUILD_ALL_EXAMPLES 和USE_CUDA的状态决定要build哪些examples？

MoyanZitto