mirror of
https://github.com/huggingface/trl.git
synced 2025-10-20 18:43:52 +08:00
66 lines
2.1 KiB
Docker
66 lines
2.1 KiB
Docker
# Builds GPU docker image of PyTorch
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# Uses multi-staged approach to reduce size
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# Stage 1
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# Use base conda image to reduce time
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FROM continuumio/miniconda3:latest AS compile-image
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# Specify py version
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ENV PYTHON_VERSION=3.10
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# Install apt libs - copied from https://github.com/huggingface/accelerate/blob/main/docker/accelerate-gpu/Dockerfile
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RUN apt-get update && \
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apt-get install -y curl git wget software-properties-common git-lfs && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists*
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# Install audio-related libraries
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RUN apt-get update && \
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apt install -y ffmpeg
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RUN apt install -y libsndfile1-dev
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RUN git lfs install
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# Create our conda env - copied from https://github.com/huggingface/accelerate/blob/main/docker/accelerate-gpu/Dockerfile
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RUN conda create --name trl python=${PYTHON_VERSION} ipython jupyter pip
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RUN python3 -m pip install --no-cache-dir --upgrade pip
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# Below is copied from https://github.com/huggingface/accelerate/blob/main/docker/accelerate-gpu/Dockerfile
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# We don't install pytorch here yet since CUDA isn't available
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# instead we use the direct torch wheel
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ENV PATH /opt/conda/envs/trl/bin:$PATH
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# Activate our bash shell
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RUN chsh -s /bin/bash
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SHELL ["/bin/bash", "-c"]
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# Stage 2
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FROM nvidia/cuda:12.2.2-devel-ubuntu22.04 AS build-image
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COPY --from=compile-image /opt/conda /opt/conda
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ENV PATH /opt/conda/bin:$PATH
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RUN chsh -s /bin/bash
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SHELL ["/bin/bash", "-c"]
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RUN source activate trl && \
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python3 -m pip install --no-cache-dir bitsandbytes optimum auto-gptq
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# Install apt libs
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RUN apt-get update && \
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apt-get install -y curl git wget && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists*
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# Activate the conda env and install transformers + accelerate from source
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RUN source activate trl && \
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python3 -m pip install -U --no-cache-dir \
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librosa \
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"soundfile>=0.12.1" \
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scipy \
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transformers \
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accelerate \
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peft \
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trl[test,vlm]@git+https://github.com/huggingface/trl
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RUN source activate trl && \
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pip freeze | grep trl
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RUN echo "source activate trl" >> ~/.profile
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# Activate the virtualenv
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CMD ["/bin/bash"] |