| # Builds GPU docker image of PyTorch | |
| # Uses multi-staged approach to reduce size | |
| # Stage 1 | |
| # Use base conda image to reduce time | |
| FROM continuumio/miniconda3:latest AS compile-image | |
| # Specify py version | |
| ENV PYTHON_VERSION=3.11 | |
| # Install apt libs - copied from https://github.com/huggingface/accelerate/blob/main/docker/accelerate-gpu/Dockerfile | |
| RUN apt-get update && \ | |
| apt-get install -y curl git wget software-properties-common git-lfs && \ | |
| apt-get clean && \ | |
| rm -rf /var/lib/apt/lists* | |
| # Install audio-related libraries | |
| RUN apt-get update && \ | |
| apt install -y ffmpeg | |
| RUN apt install -y libsndfile1-dev | |
| RUN git lfs install | |
| # Create our conda env - copied from https://github.com/huggingface/accelerate/blob/main/docker/accelerate-gpu/Dockerfile | |
| RUN conda create --name peft python=${PYTHON_VERSION} ipython jupyter pip | |
| RUN python3 -m pip install --no-cache-dir --upgrade pip | |
| # Below is copied from https://github.com/huggingface/accelerate/blob/main/docker/accelerate-gpu/Dockerfile | |
| # We don't install pytorch here yet since CUDA isn't available | |
| # instead we use the direct torch wheel | |
| ENV PATH /opt/conda/envs/peft/bin:$PATH | |
| # Activate our bash shell | |
| RUN chsh -s /bin/bash | |
| SHELL ["/bin/bash", "-c"] | |
| # Activate the conda env and install transformers + accelerate from source | |
| RUN source activate peft && \ | |
| python3 -m pip install --no-cache-dir \ | |
| librosa \ | |
| "soundfile>=0.12.1" \ | |
| scipy \ | |
| git+https://github.com/huggingface/transformers \ | |
| git+https://github.com/huggingface/accelerate \ | |
| peft[test]@git+https://github.com/huggingface/peft | |
| # Install apt libs | |
| RUN apt-get update && \ | |
| apt-get install -y curl git wget && \ | |
| apt-get clean && \ | |
| rm -rf /var/lib/apt/lists* | |
| RUN echo "source activate peft" >> ~/.profile | |
| # Activate the virtualenv | |
| CMD ["/bin/bash"] | |