35 lines
1.4 KiB
Docker
35 lines
1.4 KiB
Docker
FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
|
|
|
|
ENV DEBIAN_FRONTEND=noninteractive
|
|
ENV PIP_NO_CACHE_DIR=1
|
|
ENV PYTHONUNBUFFERED=1
|
|
|
|
RUN apt-get update && apt-get install -y --no-install-recommends \
|
|
python3 python3-pip python3-dev \
|
|
libgl1 libglib2.0-0 wget ca-certificates \
|
|
&& rm -rf /var/lib/apt/lists/* \
|
|
&& ln -sf /usr/bin/python3 /usr/bin/python
|
|
|
|
WORKDIR /app
|
|
|
|
# Newer CUDA-12.1 torch so the compiled kernels cover current GPUs (fixes
|
|
# "no kernel image is available for execution on the device"). The basicsr
|
|
# functional_tensor import (removed in torchvision>=0.16) is handled by the
|
|
# sed-patch below instead of pinning an old torchvision.
|
|
RUN pip install --upgrade pip && \
|
|
pip install torch==2.1.2 torchvision==0.16.2 \
|
|
--index-url https://download.pytorch.org/whl/cu121
|
|
|
|
COPY workers/upscale/requirements.txt .
|
|
RUN pip install -r requirements.txt
|
|
|
|
# Robustly fix basicsr's removed torchvision import (the #1 Real-ESRGAN crash).
|
|
# Works whether or not the torch/torchvision pin held — rewrites the bad import.
|
|
RUN F=$(python3 -c 'import basicsr,os;print(os.path.join(os.path.dirname(basicsr.__file__),"data","degradations.py"))') && \
|
|
sed -i 's/from torchvision.transforms.functional_tensor import rgb_to_grayscale/from torchvision.transforms.functional import rgb_to_grayscale/' "$F" && \
|
|
echo "patched basicsr degradations.py"
|
|
|
|
COPY workers/upscale/handler.py .
|
|
|
|
CMD ["python3","-u","handler.py"]
|