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Fixed Cuda Dockerfile

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Previously models produced garbage output when running on GPU with layers offloaded.

Similar to related fix on another repo: 331326a0e3
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Pradyumna Singh Rathore 2023-08-10 20:41:34 +05:30 committed by GitHub
parent 66fb0345e8
commit d010ea70d2
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1 changed files with 14 additions and 3 deletions
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17
docker/cuda_simple/Dockerfile
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@ -4,13 +4,24 @@ FROM nvidia/cuda:${CUDA_IMAGE}
# We need to set the host to 0.0.0.0 to allow outside access
ENV HOST 0.0.0.0
RUN apt-get update && apt-get upgrade -y \
&& apt-get install -y git build-essential \
python3 python3-pip gcc wget \
ocl-icd-opencl-dev opencl-headers clinfo \
libclblast-dev libopenblas-dev \
&& mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd
COPY . .
# Install the package
RUN apt update && apt install -y python3 python3-pip
# setting build related env vars
ENV CUDA_DOCKER_ARCH=all
ENV LLAMA_CUBLAS=1
# Install depencencies
RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings
RUN LLAMA_CUBLAS=1 pip install llama-cpp-python
# Install llama-cpp-python (build with cuda)
RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python
# Run the server
CMD python3 -m llama_cpp.server