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Browse files- DOCKERFILE +55 -0
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FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
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# Set environment variables
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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ENV CONDA_DIR=/opt/conda
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ENV PATH=$CONDA_DIR/bin:$PATH
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# Install system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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git-lfs \
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wget \
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curl \
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ca-certificates \
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build-essential \
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libsndfile1 \
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&& rm -rf /var/lib/apt/lists/*
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# Install Miniconda
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RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
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/bin/bash ~/miniconda.sh -b -p $CONDA_DIR && \
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rm ~/miniconda.sh && \
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conda clean -tipsy
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# Create conda environment
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RUN conda create -n yue python=3.8 -y
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SHELL ["conda", "run", "-n", "yue", "/bin/bash", "-c"]
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# Install PyTorch with CUDA support
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RUN conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia -y
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# Install flash-attention
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RUN pip install flash-attn --no-build-isolation
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# Clone YuE repository and install dependencies
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WORKDIR /app
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RUN git lfs install && \
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git clone https://github.com/multimodal-art-projection/YuE.git && \
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cd YuE && \
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pip install -r requirements.txt
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# Clone xcodec_mini_infer
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WORKDIR /app/YuE/inference
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RUN git clone https://huggingface.co/m-a-p/xcodec_mini_infer
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# Create output directory
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RUN mkdir -p /app/output
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# Copy entry script and wrapper
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COPY run.sh /app/
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COPY wrapper.py /app/YuE/inference/
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RUN chmod +x /app/run.sh
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ENTRYPOINT ["/app/run.sh"]
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