mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-11-07 08:34:37 +01:00
bea43e0c64
* Added libsdl2-dev for SDL samples Building talk-llama seems to fail here as there is no sdl.h. * Adding libsdl2-dev for sdl.h * Adding libsdl2-dev for sdl.h
41 lines
1.2 KiB
Docker
41 lines
1.2 KiB
Docker
ARG UBUNTU_VERSION=22.04
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# This needs to generally match the container host's environment.
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ARG CUDA_VERSION=12.3.1
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# Target the CUDA build image
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ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
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# Target the CUDA runtime image
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ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
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FROM ${BASE_CUDA_DEV_CONTAINER} AS build
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WORKDIR /app
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# Unless otherwise specified, we make a fat build.
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ARG CUDA_DOCKER_ARCH=all
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# Set nvcc architecture
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ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
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# Enable cuBLAS
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ENV GGML_CUDA=1
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RUN apt-get update && \
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apt-get install -y build-essential libsdl2-dev \
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&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
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# Ref: https://stackoverflow.com/a/53464012
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ENV CUDA_MAIN_VERSION=12.3
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ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
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COPY .. .
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RUN make
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FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
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ENV CUDA_MAIN_VERSION=12.3
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ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
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WORKDIR /app
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RUN apt-get update && \
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apt-get install -y curl ffmpeg \
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&& rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
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COPY --from=build /app /app
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ENTRYPOINT [ "bash", "-c" ]
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