# PyTorch 2.6.0 + CUDA 12.6 + cuDNN9
FROM pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel

ENV DEBIAN_FRONTEND=noninteractive \
    HF_HOME=/workspace/.cache/huggingface \
    CUDA_HOME=/usr/local/cuda \
    LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH} \
    PIP_DISABLE_PIP_VERSION_CHECK=1 \
    PYTHONUNBUFFERED=1 \
    HF_HUB_DISABLE_TELEMETRY=1

ARG TORCH_CUDA_ARCH_LIST=80
ENV TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas

WORKDIR /workspace

# 빌드 도구
RUN apt-get update && apt-get install -y --no-install-recommends \
      git build-essential ninja-build cmake \
    && rm -rf /var/lib/apt/lists/*

RUN python -m pip install -U pip setuptools wheel packaging ninja

# 명시 재설치(일관성)
RUN pip install --no-cache-dir \
      torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0

# DeepSeek-OCR(HF) 호환 스택
RUN pip install --no-cache-dir \
      "transformers==4.43.3" \
      "accelerate==0.33.0" \
      "tokenizers==0.19.1" \
      "numpy==1.26.4" \
      "safetensors>=0.4.2" \
      "einops" "timm>=0.9"

# flash-attn 2.7.3 (CUDA 12.6에서 빌드)
RUN pip install --no-cache-dir --no-build-isolation --no-binary=flash-attn flash-attn==2.7.3

# vLLM 제거(혹시 들어오더라도 충돌 방지)
RUN pip uninstall -y vllm || true

# OpenCV ↔ numpy 1.26 호환 버전 고정
RUN pip install --no-cache-dir "opencv-python-headless==4.8.1.78"

# 앱 소스
COPY DeepSeek-OCR-master/DeepSeek-OCR-hf/ /workspace/DeepSeek-OCR-hf/