.

.github/workflows/docker-publish.yaml

@@ -51,6 +51,9 @@ jobs:
           echo "After cleanup:"
           df -h
           sudo du -hxd1 / | sort -hr | head -n 20
+          ls -a /usr
+          ls -a /opt
+          ls -a /home
 
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3

Dockerfile

@@ -76,7 +76,8 @@ ENV SKIP_CHECK=${SKIP_CHECK}
 RUN source /root/anaconda3/etc/profile.d/conda.sh && \
     conda activate GPTSoVITS && \
     bash install.sh --device CU${CUDA_VERSION//./} --source HF --skip-check ${SKIP_CHECK} --download-uvr5 && \
-    pip cache purge
+    pip cache purge && \
+    pip show torch
 
 RUN rm -rf /root/anaconda3/pkgs
 

install.sh

@@ -134,6 +134,20 @@ if ! $USE_HF && ! $USE_HF_MIRROR && ! $USE_MODELSCOPE; then
     exit 1
 fi
 
+# 安装构建工具
+# Install build tools
+echo "Installing GCC..."
+conda install -c conda-forge gcc=14 -y
+
+echo "Installing G++..."
+conda install -c conda-forge gxx -y
+
+echo "Installing ffmpeg and cmake..."
+conda install ffmpeg cmake make -y
+
+echo "Installing unzip..."
+conda install unzip -y
+
 if [ "$USE_HF" = "true" ]; then
     echo "Download Model From HuggingFace"
     PRETRINED_URL="https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/pretrained_models.zip"
@@ -190,23 +204,6 @@ if [ "$DOWNLOAD_UVR5" = "true" ]; then
     fi
 fi
 
-# 安装构建工具
-# Install build tools
-echo "Installing GCC..."
-conda install -c conda-forge gcc=14 -y
-
-echo "Installing G++..."
-conda install -c conda-forge gxx -y
-
-echo "Installing ffmpeg and cmake..."
-conda install ffmpeg cmake -y
-
-echo "Installing git-lfs and zip..."
-conda install git-lfs -y
-conda install zip -y
-
-git-lfs install
-
 if [ "$USE_CUDA" = true ] && [ $SKIP_CHECK = false ]; then
     echo "Checking for CUDA installation..."
     if command -v nvidia-smi &>/dev/null; then