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https://github.com/ggml-org/llama.cpp.git
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04ac0607e9
* python: add check-requirements.sh and GitHub workflow This script and workflow forces package versions to remain compatible across all convert*.py scripts, while allowing secondary convert scripts to import dependencies not wanted in convert.py. * Move requirements into ./requirements * Fail on "==" being used for package requirements (but can be suppressed) * Enforce "compatible release" syntax instead of == * Update workflow * Add upper version bound for transformers and protobuf * improve check-requirements.sh * small syntax change * don't remove venvs if nocleanup is passed * See if this fixes docker workflow * Move check-requirements.sh into ./scripts/ --------- Co-authored-by: Jared Van Bortel <jared@nomic.ai>
35 lines
781 B
Docker
35 lines
781 B
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=11.7.1
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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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FROM ${BASE_CUDA_DEV_CONTAINER} as build
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# Unless otherwise specified, we make a fat build.
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ARG CUDA_DOCKER_ARCH=all
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RUN apt-get update && \
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apt-get install -y build-essential python3 python3-pip git
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COPY requirements.txt requirements.txt
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COPY requirements requirements
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RUN pip install --upgrade pip setuptools wheel \
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&& pip install -r requirements.txt
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WORKDIR /app
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COPY . .
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# Set nvcc architecture
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ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
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# Enable cuBLAS
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ENV LLAMA_CUBLAS=1
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RUN make
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ENTRYPOINT ["/app/.devops/tools.sh"]
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