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목록Anaconda (4)
Shakerato
[previous setup]conda install pytorch cuda90 -c pytorch (installed)pytorch 0.4.0 py36_cuda90_cudnn7he774522_1 [cuda90] pytorch --> If you are using the latest GPU in the above environment, for example, 2080ti,you may get an error message when you run pytorch code using GPU as shown in below. CUDNN_STATUS_EXECUTION_FAILED --> [solution setup]1. install cuda 10.0 and new cudnn for this2. conda upd..
1. Install ipykernel each environmentsconda install ipykernel 2. Set jupyter notebook kernel in the anaconda default environmentType 'activate' in cmdpython -m ipykernel install --user --name --display-name "" 3. Run the juypter-notebookC:\ProgramData\Anaconda3\Scripts\jupyter-notebook.exe --ip 4. Change kernel Click *.ipynb - [Kernel tap] - [change kernel] - select a kernel
1. Anaconda3 Install2. Create a envorinment with python3.63. Install Microsoft Visual Studio 2017 or Upgrade (C++ packages includes c++/CLI must be installed for CMake) (because CMake needs c++11 compiler)4. Update Visual Sutudio 20175. Reboot the Computer6. Download CMake (https://cmake.org/download/) and Install it7. Activate specific of Anaconda3 in the 'cmd'8. pip3 install face_recognition* ..
1. check cuda9.0 installed (nvcc --version) (if yet, install cuda) https://developer.nvidia.com/cuda-90-download-archive (if no gpu) pass this step 2, Install Anaconda https://www.anaconda.com/download/ 3. in 'cmd' conda create -n pytorch python=3.6 anaconda (follow https://anaconda.org/soumith/pytorch)4. in 'cmd' conda install pytorch cuda90 -c pytorch (if no gpu) conda install pytorch-cpu -c p..