changed magma-cuda101 install cmd
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@ -11,7 +11,7 @@ To use the old but cheap Tesla K20Xm with openAI Clip you need to downgrade torc
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### CUDA
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- nVidia Driver NVIDIA-Linux-x86_64-470.82.01.run
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- `sudo apt install nvidia-settings`
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- Build `cuda_check.c` with `nvcc -o check_cuda check_cuda.c -lcuda`
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- Build `check_cuda.c` with `nvcc -o check_cuda check_cuda.c -lcuda`
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- Verify the output of check_cuda: `Compute Capability: 3.5`
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## Installing
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@ -25,7 +25,9 @@ To use the old but cheap Tesla K20Xm with openAI Clip you need to downgrade torc
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### Building PyTorch
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switch to gcc8
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`sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-8 8`
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`sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-8 8`
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Verify
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@ -33,7 +35,7 @@ Verify
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`conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses`
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`conda install -c magma-cuda101`
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`conda install -c pytorch magma-cuda101`
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change to a tmp dir
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@ -52,11 +54,14 @@ build pytorch and install it
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`clear && TORCH_CUDA_ARCH_LIST="3.5 6.1" python setup.py install`
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run the `torch_test.py` to verify that CUDA is available and version:
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`True`
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`1.7.0a0+57bffc3`
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### Building TorchVision
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change to a tmp dir
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`git clone https://github.com/pytorch/vision.git`
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`cd vision/`
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