mirror of
https://github.com/vale981/ray
synced 2025-03-09 12:56:46 -04:00
53dffe0bf2
* Compile the Ray redis module with C++. * Redo parsing of object table notifications with flatbuffers. * Update redis module python tests. * Redo parsing of task table notifications with flatbuffers. * Fix linting. * Redo parsing of db client notifications with flatbuffers. * Redo publishing of local scheduler heartbeats with flatbuffers. * Fix linting. * Remove usage of fixed-width formatting of scheduling state in channel name. * Reply with flatbuffer object to task table queries, also simplify redis string to flatbuffer string conversion. * Fix linting and tests. * fix * cleanup * simplify logic in ReplyWithTask
15 lines
655 B
Docker
15 lines
655 B
Docker
# The deploy Docker image build a self-contained Ray instance suitable
|
|
# for end users.
|
|
|
|
FROM ubuntu:xenial
|
|
RUN apt-get update \
|
|
&& apt-get install -y vim git wget \
|
|
&& apt-get install -y cmake build-essential autoconf curl libtool libboost-all-dev unzip
|
|
RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh \
|
|
&& wget --quiet 'https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86_64.sh' -O /tmp/anaconda.sh \
|
|
&& /bin/bash /tmp/anaconda.sh -b -p /opt/conda \
|
|
&& rm /tmp/anaconda.sh
|
|
ENV PATH "/opt/conda/bin:$PATH"
|
|
RUN conda install -y libgcc
|
|
RUN pip install flatbuffers
|
|
RUN pip install --upgrade pip cloudpickle
|