CannyLab/tsne-cuda with cuda-10.0
t-SNE-CUDA
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做数据降维时常用到,但计算较慢,所以可用cuda加速
用源码编译时,常见错误处理:
1. 缺少MKL可到intel下载安装(略)
2. `CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
如 CUDA_cublas_device_LIBRARY
可 在CMakeLists.txt
set (CUDA_cublas_device_LIBRARY /usr/local/cuda-10.0/targets/x86_64-linux/lib/libcublas.so)
libcublas.so 可用locate找到相关的版本

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