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rmrao avatar rmrao commented on May 20, 2024 1

Conda support is now available! It doesn't use conda's faiss since this doesn't quite provide what we want. But it packages it's own version as a shared library so it should work fine for everyone. The version we uploaded requires CUDA 9.0, we haven't added multiple versions for different CUDA versions. You should be able to install with

conda install tsnecuda -c cannylab

from tsne-cuda.

cinastanbean avatar cinastanbean commented on May 20, 2024 1

hi, 我通过如下方式解决了。@ygjwd12345

遇到的错误:OSError: libfaiss.so: cannot open shared object file: No such file or directory

解决方法:

  1. conda install tsnecuda -c cannylab
  2. find / -name libfaiss.so # 记录下路径
  3. find / -name libopenblas.so.0 # 记录下路径
  4. 类似操作:export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/conda/pkgs/tsnecuda-0.2.1-py36h6fed035_0/lib/:/opt/conda/pkgs/openblas-0.2.19-0/lib #路径写第二步记录下的路径。

这样就可以解决。


其他问题:Faiss assertion 'err == cudaSuccess' failed in faiss::gpu::StackDeviceMemory::Stack::Stack(int, size_t) at /home/david/Code/tsne-cuda/third_party/faiss/gpu/utils/StackDeviceMemory.cpp:33
Aborted

解决方法:cuda内存不够,腾出空间即可。

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ktamiola avatar ktamiola commented on May 20, 2024

Fantastic, thank you!

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santosh2994 avatar santosh2994 commented on May 20, 2024

hi i am unable to install using conda install tsnecuda -c cannylab in my anaconda navigator
can you please help me.

from tsne-cuda.

ygjwd12345 avatar ygjwd12345 commented on May 20, 2024

hi i also face the problem when I use"conda install tsnecuda -c cannylab", it doesn't work

from tsne-cuda.

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