本文主要是介绍“IPv4 forwarding is disabled. Networking will not work” 的解决办法，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
在利用Docker运行Tensorflow Jupyter时遇到了端口号无法开放到外网的情况，错误如下：
[andy@master andy]# nvidia-docker run -it -p 8888:8888 -v /andy/andy/:/notebooks/andy tensorflow:1.8.0-gpu
WARNING: IPv4 forwarding is disabled. Networking will not work.
[I 09:04:03.467 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 09:04:03.480 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 09:04:03.487 NotebookApp] Serving notebooks from local directory: /notebooks
[I 09:04:03.488 NotebookApp] 0 active kernels
[I 09:04:03.488 NotebookApp] The Jupyter Notebook is running at:
[I 09:04:03.488 NotebookApp] http://[all ip addresses on your system]:8888/?token=389603956f0sd6e480f1520ac48e06fd03fab5b6589ff9a097
[I 09:04:03.488 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 09:04:03.488 NotebookApp] Copy/paste this URL into your browser when you connect for the first time,to login with a token:http://localhost:8888/?token=389603956f0sd6e480f1520ac48e06fd03fab5b6589ff9a097后来制作镜像时遇到了同样的问题：
[root@master kubeflow]# sudo docker build -t jupyterandy:lasted .
Sending build context to Docker daemon 23.04 kB
Step 1/48 : FROM ubuntu:18.04@sha256:de774a3145f7ca4f0bd144c7d4ffb2931e06634f11529653b23eba85aef8e378---> cd6d8154f1e1
Step 2/48 : ARG TF_PACKAGE=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.7.0-cp36-cp36m-linux_x86_64.whl---> Using cache---> 717397fac736
Step 3/48 : ARG TF_PACKAGE_PY_27=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.7.0-cp27-none-linux_x86_64.whl---> Using cache---> 1b4a91be6adb
Step 4/48 : ARG TF_SERVING_VERSION=0.0.0---> Using cache---> 4a8851a836e3
Step 5/48 : ARG TFMA_VERSION---> Using cache---> 50f5419a137c
Step 6/48 : ARG TFDV_VERSION---> Using cache---> 8625b6f1d541
Step 7/48 : ARG PIPELINE_SDK_PACKAGE=https://storage.googleapis.com/ml-pipeline/release/0.1.8/kfp.tar.gz---> Using cache---> 034818e518bb
Step 8/48 : USER root---> Using cache---> 1419e0dc1449
Step 9/48 : ENV DEBIAN_FRONTEND noninteractive---> Using cache---> 14d6ccee0ead
Step 10/48 : ENV NB_USER jovyan---> Using cache---> 1d96a7185474
Step 11/48 : ENV NB_UID 1000---> Using cache---> ba0433cc7663
Step 12/48 : ENV HOME /home/$NB_USER---> Using cache---> 6f29aa3bc765
Step 13/48 : ENV NB_PREFIX /---> Using cache---> 14f9c69f30aa
Step 14/48 : ENV CONDA_DIR /opt/conda---> Using cache---> a5099ba7d85e
Step 15/48 : ENV PATH $CONDA_DIR/bin:$PATH---> Using cache---> b29faba8850c
Step 16/48 : ENV TF_PACKAGE $TF_PACKAGE---> Using cache---> 2fbb397a65a4
Step 17/48 : ENV TF_PACKAGE_27 $TF_PACKAGE_PY_27---> Using cache---> 4978c1785813
Step 18/48 : ENV TF_SERVING_VERSION $TF_PACKAGE_PY_27---> Using cache---> 964a507ef780
Step 19/48 : ENV TFMA_VERSION $TFMA_VERSION---> Using cache---> fcab3a66975e
Step 20/48 : ENV TFDV_VERSION $TFDV_VERSION---> Using cache---> c39b081b9e94
Step 21/48 : ENV PIPELINE_SDK_PACKAGE $PIPELINE_SDK_PACKAGE---> Using cache---> 2a019d50a364
Step 22/48 : SHELL /bin/bash -c---> Using cache---> 83a5233df50b
Step 23/48 : RUN apt-get update && apt-get install -yq --no-install-recommends apt-transport-https build-essential bzip2 ca-certificates curl g++ git gnupg graphviz locales lsb-release openssh-client sudo unzip vim wget zip && apt-get clean && rm -rf /var/lib/apt/lists/*---> Using cache---> 6b97ff970e9d
Step 24/48 : ENV DOCKER_CREDENTIAL_GCR_VERSION 1.4.3---> Using cache---> b0af65a68598
Step 25/48 : RUN curl -LO https://github.com/GoogleCloudPlatform/docker-credential-gcr/releases/download/v${DOCKER_CREDENTIAL_GCR_VERSION}/docker-credential-gcr_linux_amd64-${DOCKER_CREDENTIAL_GCR_VERSION}.tar.gz && tar -zxvf docker-credential-gcr_linux_amd64-${DOCKER_CREDENTIAL_GCR_VERSION}.tar.gz && mv docker-credential-gcr /usr/local/bin/docker-credential-gcr && rm docker-credential-gcr_linux_amd64-${DOCKER_CREDENTIAL_GCR_VERSION}.tar.gz && chmod +x /usr/local/bin/docker-credential-gcr---> Using cache---> 78a61a3bbed0
Step 26/48 : RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && locale-gen---> Using cache---> 529a8c9d4baf
Step 27/48 : ENV LC_ALL en_US.UTF-8---> Using cache---> 2c6567323280
Step 28/48 : ENV LANG en_US.UTF-8---> Using cache---> 1138658fa36c
Step 29/48 : ENV LANGUAGE en_US.UTF-8---> Using cache---> 5a89a42ed36e
Step 30/48 : RUN useradd -M -s /bin/bash -N -u $NB_UID $NB_USER && chown -R ${NB_USER}:users /usr/local/bin && mkdir -p $HOME---> Using cache---> 9cb2694dd804
Step 31/48 : RUN export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)" && echo "deb https://packages.cloud.google.com/apt $CLOUD_SDK_REPO main" > /etc/apt/sources.list.d/google-cloud-sdk.list && curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add - && apt-get update && apt-get install -y google-cloud-sdk kubectl---> [Warning] IPv4 forwarding is disabled. Networking will not work.---> Running in 2d8542485b3f倒数第二行的错误就是因为网络的问题无法下载相关软件，解决办法如下：
修改/etc/sysctl.conf文件，添加如下内容：
net.ipv4.ip_forward=1然后重启网络：
systemctl restart network查看是否添加成功：
sysctl net.ipv4.ip_forward输出为1时则证明是成功的，
之后创建镜像和端口转发都没有问题了
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