更新对amd显卡的支持 (#2076)

* 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

install.sh

@@ -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