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更新对amd显卡的支持 (#2076)

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* Added the instruction for AMD GPU in English

* Added the instruction for AMD GPU in Chinese

* Update install.sh, now it will check wether user are using cuda or rocm

* 恢复原来的readme，已经更新了install.sh

* 恢复中文readme

* 将n卡的判断条件由nvcc改成nvidia-smi
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C3EZ 2025-03-26 19:04:13 +11:00 committed by GitHub
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commit b65ea9181e
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install.sh
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@ -2,8 +2,13 @@
# 安装构建工具
# Install build tools
echo "Installing GCC..."
conda install -c conda-forge gcc=14
echo "Installing G++..."
conda install -c conda-forge gxx
echo "Installing ffmpeg and cmake..."
conda install ffmpeg cmake
# 设置编译环境
@ -12,10 +17,60 @@ export CMAKE_MAKE_PROGRAM="$CONDA_PREFIX/bin/cmake"
export CC="$CONDA_PREFIX/bin/gcc"
export CXX="$CONDA_PREFIX/bin/g++"
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
echo "Checking for CUDA installation..."
if command -v nvidia-smi &> /dev/null; then
USE_CUDA=true
echo "CUDA found."
else
echo "CUDA not found."
USE_CUDA=false
fi
if [ "$USE_CUDA" = false ]; then
echo "Checking for ROCm installation..."
if [ -d "/opt/rocm" ]; then
USE_ROCM=true
echo "ROCm found."
if grep -qi "microsoft" /proc/version; then
echo "You are running WSL."
IS_WSL=true
else
echo "You are NOT running WSL."
IS_WSL=false
fi
else
echo "ROCm not found."
USE_ROCM=false
fi
fi
if [ "$USE_CUDA" = true ]; then
echo "Installing PyTorch with CUDA support..."
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
elif [ "$USE_ROCM" = true ] ; then
echo "Installing PyTorch with ROCm support..."
pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/rocm6.2
else
echo "Installing PyTorch for CPU..."
conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 cpuonly -c pytorch
fi
echo "Installing Python dependencies from requirements.txt..."
# 刷新环境
# Refresh environment
hash -r
pip install -r requirements.txt
if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ] ; then
echo "Update to WSL compatible runtime lib..."
location=`pip show torch | grep Location | awk -F ": " '{print $2}'`
cd ${location}/torch/lib/
rm libhsa-runtime64.so*
cp /opt/rocm/lib/libhsa-runtime64.so.1.2 libhsa-runtime64.so
fi
echo "Installation completed successfully!"
pip install -r requirements.txt