Dockerfile

FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV HF_HOME=/app/.cache/huggingface
ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/transformers
ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128

# Create necessary directories with proper permissions
RUN mkdir -p /app/.cache/huggingface/transformers && \
    chmod -R 777 /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    git \
    curl \
    ca-certificates \
    python3-pip \
    python3-dev \
    && rm -rf /var/lib/apt/lists/*

# Create a working directory
WORKDIR /app

# Install core requirements
COPY requirements.txt .
RUN pip3 install --no-cache-dir --upgrade pip && \
    pip3 install --no-cache-dir -r requirements.txt

# Install basic dependencies specifically for InternViT
RUN pip3 install --no-cache-dir \
    transformers==4.37.2 \
    timm==0.9.11 \
    accelerate==0.30.0 \
    safetensors==0.4.1 \
    einops

# Copy the application file (we have both names in repo for redundancy)
COPY app.py /app/app.py

# Add a simple script to check GPU status
RUN echo '#!/bin/bash \n\
echo "Starting diagnostics..." \n\
echo "===== System Information =====" \n\
python3 -c "import sys; print(f\"Python version: {sys.version}\")" \n\
python3 -c "import torch; print(f\"PyTorch version: {torch.__version__}\")" \n\
echo "\n===== CUDA Information =====" \n\
python3 -c "import torch; print(f\"CUDA available: {torch.cuda.is_available()}\")" \n\
if [ $(python3 -c "import torch; print(torch.cuda.is_available())") = "True" ]; then \n\
    python3 -c "import torch; print(f\"CUDA version: {torch.version.cuda}\")" \n\
    python3 -c "import torch; print(f\"GPU count: {torch.cuda.device_count()}\")" \n\
    python3 -c "import torch; for i in range(torch.cuda.device_count()): print(f\"GPU {i}: {torch.cuda.get_device_name(i)}\")" \n\
    python3 -c "import torch; print(f\"Total GPU memory: {torch.cuda.get_device_properties(0).total_memory / 1024 / 1024 / 1024:.2f} GB\")" \n\
fi \n\
echo "\n===== Package Information =====" \n\
pip3 list | grep -E "transformers|einops|torch|timm|accelerate|safetensors" \n\
echo "\n===== NVIDIA System Information =====" \n\
if command -v nvidia-smi &> /dev/null; then \n\
    nvidia-smi \n\
else \n\
    echo "nvidia-smi not found" \n\
fi \n\
echo "\n===== Starting Application =====" \n\
exec "$@"' > /entrypoint.sh && \
chmod +x /entrypoint.sh

# Expose port 7860 for Gradio
EXPOSE 7860

# Use our entrypoint script
ENTRYPOINT ["/entrypoint.sh"]

# Start the application
CMD ["python3", "app.py"]