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This might be a docker image related or jupyter notebook related issue I am not sure but I am running a Docker image on compute1 which has a jupyter notebook installation and a python and an R kernel installed. Every time I run something compute intensive the kernel dies. I have run IR kernel on jupyter without docker but I have not experienced this behavior before. Is that something any of you have overcome before? Are there any settings that I need to do to make the jupyter notebook run seamlessly?
jupyter notebook gui error : Kernel restarting "kernel appears to have died it will start automatically"
jupyter notebook terminal error : [I 16:18:29.250 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports kernel ee155406-7d97-439e-815d-ee04f35eb155 restarted
Below is the Dockerfile used to build the image.
FROM continuumio/miniconda3
USER root
# Set the ENTRYPOINT to use bash
# (this is also where you’d set SHELL,
# if your version of docker supports this)
# R pre-requisites
RUN apt-get update && \
apt-get install -y --no-install-recommends \
fonts-dejavu \
gfortran \
gcc && \
rm -rf /var/lib/apt/lists/*
RUN ln -snf /bin/bash /bin/sh
ENV PATH /opt/conda/bin:$PATH
RUN conda config --add channels bioconda && \
conda config --add channels conda-forge
RUN conda install nb_conda_kernels && \
conda install ipykernel && \
conda install r-irkernel && \
conda install -c anaconda jupyter && \
conda install -c conda-forge jupyterlab
RUN R --quiet -e "IRkernel::installspec(user=FALSE)"
Run conda create --name mycellassign -c bioconda r-cellassign
RUN /bin/bash -c "source activate mycellassign && \
conda install -c bioconda scanpy && \
conda install -c bioconda bioconductor-singler && \
conda install bioconductor-scrnaseq && \
conda install -c bioconda bioconductor-singlecellexperiment && \
conda install -c bioconda bioconductor-scater && \
conda install -c bioconda bioconductor-scran && \
conda install -c bioconda bioconductor-summarizedexperiment && \
conda install -c bioconda r-garnett && \
conda install -c bioconda bioconductor-chetah && \
conda install -c bioconda r-seurat &&\
conda install nb_conda_kernels && \
conda install ipykernel && \
conda install r-irkernel && \
conda install -c anaconda jupyter && \
conda install -c conda-forge jupyterlab && \
pip install moana && \
R --quiet -e \"IRkernel::installspec(user=FALSE)\" && \
conda deactivate"
The text was updated successfully, but these errors were encountered:
Hi,
This might be a docker image related or jupyter notebook related issue I am not sure but I am running a Docker image on compute1 which has a jupyter notebook installation and a python and an R kernel installed. Every time I run something compute intensive the kernel dies. I have run IR kernel on jupyter without docker but I have not experienced this behavior before. Is that something any of you have overcome before? Are there any settings that I need to do to make the jupyter notebook run seamlessly?
jupyter notebook gui error : Kernel restarting "kernel appears to have died it will start automatically"
jupyter notebook terminal error :
[I 16:18:29.250 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports kernel ee155406-7d97-439e-815d-ee04f35eb155 restarted
Below is the Dockerfile used to build the image.
The text was updated successfully, but these errors were encountered: