问题

利用pycharm远程连接tensorflow的docker容器，远程debug出现问题如下：

 Can't run remote python interpreter: Couldn't obtain remote socket from output
  [1;31m ________ _______________ ___ __/__________________________________ ____/__ /________ __ __ / _ _ \_ __ \_ ___/ __ \_ ___/_ /_ __ /_ __ \_ | /| / / _ / / __/ / / /(__ )/ /_/ / / _ __/ _ / / /_/ /_ |/ |/ / /_/ \___//_/ /_//____/ \____//_/ /_/ /_/ \____/____/|__/  
 [0;33m WARNING: You are running this container as root, which can cause new files in mounted volumes to be created as the root user on your host machine.  
 To avoid this, run the container by specifying your user's userid:  $ docker run -u $(id -u):$(id -g) args... [m ('0.0.0.0', 32887) , stderr

解决方案

这是由于tensorflow容器中，当登录shell时，会输出一些提示信息（To avoid this, run the container by specifying your user’s userid），只需将这些提示信息的输出关闭即可。

更改/etc/bash.bashrc文件，将其中的echo语句全部删除。

原始的/etc/bash.bashrc文件内容：

# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ==============================================================================

export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > "
export TERM=xterm-256color
alias grep="grep --color=auto"
alias ls="ls --color=auto"

echo -e "\e[1;31m"
cat<<TF
________                               _______________
___  __/__________________________________  ____/__  /________      __
__  /  _  _ \_  __ \_  ___/  __ \_  ___/_  /_   __  /_  __ \_ | /| / /
_  /   /  __/  / / /(__  )/ /_/ /  /   _  __/   _  / / /_/ /_ |/ |/ /
/_/    \___//_/ /_//____/ \____//_/    /_/      /_/  \____/____/|__/

TF
echo -e "\e[0;33m"

if [[ $EUID -eq 0 ]]; then
  cat <<WARN
WARNING: You are running this container as root, which can cause new files in
mounted volumes to be created as the root user on your host machine.

To avoid this, run the container by specifying your user's userid:

$ docker run -u \$(id -u):\$(id -g) args...
WARN
else
  cat <<EXPL
You are running this container as user with ID $(id -u) and group $(id -g),
which should map to the ID and group for your user on the Docker host. Great!
EXPL
fi

# Turn off colors
echo -e "\e[m"
~

删除后的/etc/bash.bashrc文件内容为：

# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ==============================================================================

export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > "
export TERM=xterm-256color
alias grep="grep --color=auto"
alias ls="ls --color=auto"