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microWakeWord-Trainer-Nvidi…/dockerfile
2025-09-26 19:41:21 -05:00

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# CUDA + cuDNN userspace from NVIDIA (no manual repo installs needed)
FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1
# System deps (+dev headers for building C/C++ extensions)
RUN apt-get update && apt-get install -y --no-install-recommends \
python3.10 python3.10-venv python3.10-distutils python3.10-dev python3-pip \
git wget curl unzip ca-certificates \
build-essential g++ cmake \
libsndfile1 libsndfile1-dev libffi-dev \
&& rm -rf /var/lib/apt/lists/*
# Use python3.10 everywhere
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 \
&& update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1
# Python deps
# Pre-install numpy (and cython) so native builds (webrtcvad, pymicro_features) have headers ready
COPY requirements.txt /tmp/requirements.txt
RUN pip install --upgrade pip \
&& pip install "numpy==1.26.4" "cython>=0.29.36" \
&& pip install -r /tmp/requirements.txt
# Workspace + notebook fallback
RUN mkdir -p /data
WORKDIR /data
COPY microWakeWord_training_notebook.ipynb /root/
# Startup script (copies default notebook if missing)
COPY startup.sh /usr/local/bin/startup.sh
RUN chmod +x /usr/local/bin/startup.sh
EXPOSE 8888
# Launch JupyterLab (tokenless for local dev; set a token if you want auth)
CMD ["/bin/bash", "-lc", "/usr/local/bin/startup.sh && \
exec jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root \
--ServerApp.token='' --ServerApp.password='' --ServerApp.root_dir=/data"]