57 lines
2.4 KiB
Docker
57 lines
2.4 KiB
Docker
FROM ubuntu:20.04 as key-getter
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ARG http_proxy
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ARG https_proxy
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RUN apt-get update && \
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apt-get install -y curl gpg && \
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curl -fsSL https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2023.PUB | gpg --dearmor | tee /root/intel-oneapi-archive-keyring.gpg
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FROM mpioperator/intel as builder
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ARG http_proxy
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ARG https_proxy
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ENV TZ=Asia/Shanghai
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ARG PIP_NO_CACHE_DIR=false
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ENV TRANSFORMERS_COMMIT_ID=95fe0f5
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# add public key
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COPY --from=key-getter /root/intel-oneapi-archive-keyring.gpg /usr/share/keyrings/intel-oneapi-archive-keyring.gpg
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RUN echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " > /etc/apt/sources.list.d/oneAPI.list
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RUN mkdir -p /ipex_llm/data && mkdir -p /ipex_llm/model && \
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# install pytorch 2.1.0
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apt-get update && \
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apt-get install -y --no-install-recommends python3-pip python3.9-dev python3-wheel python3.9-distutils git software-properties-common && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/* && \
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pip3 install --upgrade pip && \
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export PIP_DEFAULT_TIMEOUT=100 && \
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pip install --upgrade torch==2.1.0 && \
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# install CPU ipex-llm
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pip3 install --pre --upgrade ipex-llm[all] && \
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# install ipex and oneccl
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pip install https://intel-extension-for-pytorch.s3.amazonaws.com/ipex_stable/cpu/intel_extension_for_pytorch-2.1.0%2Bcpu-cp39-cp39-linux_x86_64.whl && \
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pip install oneccl_bind_pt -f https://developer.intel.com/ipex-whl-stable && \
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# install huggingface dependencies
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pip install datasets transformers==4.35.0 && \
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pip install fire peft==0.5.0 && \
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pip install accelerate==0.23.0 && \
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pip install bitsandbytes && \
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# install basic dependencies
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apt-get update && apt-get install -y curl wget gpg gpg-agent software-properties-common libunwind8-dev && \
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# get qlora example code
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ln -s /usr/bin/python3 /usr/bin/python && \
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cd /ipex_llm && \
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git clone https://github.com/intel-analytics/IPEX-LLM.git && \
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mv IPEX-LLM/python/llm/example/CPU/QLoRA-FineTuning/* . && \
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mkdir -p /GPU/LLM-Finetuning && \
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mv IPEX-LLM/python/llm/example/GPU/LLM-Finetuning/common /GPU/LLM-Finetuning/common && \
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rm -r IPEX-LLM
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# for standalone
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COPY ./start-qlora-finetuning-on-cpu.sh /ipex_llm/start-qlora-finetuning-on-cpu.sh
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RUN chown -R mpiuser /ipex_llm
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USER mpiuser
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ENTRYPOINT ["/bin/bash"]
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