mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-08 09:32:20 +00:00
91 lines
2.9 KiB
Docker
91 lines
2.9 KiB
Docker
FROM pytorch/pytorch:1.7.1-cuda11.0-cudnn8-devel
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# ENV http_proxy=http://aaa.bbb.cc.net:8080 \
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# https_proxy=http://aaa.bbb.cc.net:8080
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RUN rm /etc/apt/sources.list.d/cuda.list && \
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rm /etc/apt/sources.list.d/nvidia-ml.list && \
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apt-key del 7fa2af80
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# install normal source
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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g++ \
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make \
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automake \
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autoconf \
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bzip2 \
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unzip \
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wget \
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sox \
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libtool \
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git \
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subversion \
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zlib1g-dev \
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gfortran \
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ca-certificates \
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patch \
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ffmpeg \
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valgrind \
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libssl-dev \
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vim \
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curl
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# Add new keys and reupdate
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RUN curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub | apt-key add - && \
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curl -fsSL https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - && \
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echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
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echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \
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rm -rf /var/lib/apt/lists/* && \
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mv /opt/conda/lib/libcufft.so.10 /opt/libcufft.so.10.bak && \
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mv /opt/conda/lib/libcurand.so.10 /opt/libcurand.so.10.bak && \
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mv /opt/conda/lib/libcublas.so.11 /opt/libcublas.so.11.bak && \
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mv /opt/conda/lib/libnvrtc.so.11.0 /opt/libnvrtc.so.11.1.bak && \
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# mv /opt/conda/lib/libnvToolsExt.so.1 /opt/libnvToolsExt.so.1.bak && \
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mv /opt/conda/lib/libcudart.so.11.0 /opt/libcudart.so.11.0.bak && \
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apt-get update && apt-get -y upgrade
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# cmake
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RUN wget -P /opt https://cmake.org/files/v3.18/cmake-3.18.0.tar.gz && \
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cd /opt && \
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tar -zxvf cmake-3.18.0.tar.gz && \
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cd cmake-3.18.0 && \
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./bootstrap && \
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make && \
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make install && \
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rm -rf cmake-3.18.0.tar.gz && \
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find /opt/cmake-3.18.0 -type f \( -name "*.o" -o -name "*.la" -o -name "*.a" \) -exec rm {} \; && \
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cd -
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# flac
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RUN wget -P /opt https://downloads.xiph.org/releases/flac/flac-1.3.2.tar.xz && \
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cd /opt && \
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xz -d flac-1.3.2.tar.xz && \
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tar -xvf flac-1.3.2.tar && \
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cd flac-1.3.2 && \
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./configure && \
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make && make install && \
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rm -rf flac-1.3.2.tar && \
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find /opt/flac-1.3.2 -type f \( -name "*.o" -o -name "*.la" -o -name "*.a" \) -exec rm {} \; && \
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cd -
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RUN conda install -y -c pytorch torchaudio=0.7.1 && \
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pip install graphviz
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#install k2 from source
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RUN git clone https://github.com/k2-fsa/k2.git /opt/k2 && \
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cd /opt/k2 && \
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python3 setup.py install && \
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cd -
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# install lhotse
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RUN pip install git+https://github.com/lhotse-speech/lhotse
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RUN git clone https://github.com/k2-fsa/icefall /workspace/icefall && \
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cd /workspace/icefall && \
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pip install -r requirements.txt
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ENV PYTHONPATH /workspace/icefall:$PYTHONPATH
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WORKDIR /workspace/icefall
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