如何在没有互联网连接的服务器上安装自定义OpenAI Gym环境

时间:2020-02-10 21:31:14

标签: python pip installation openai-gym

我正在尝试在没有Internet的远程计算机上安装custom OpenAI gym environment

我将所有文件从主节点传输到远程计算机。

然后尝试如下安装健身房环境:

(tf-gpu) [username@localhost gym-CartPole-bt-v0]$ pip install -e .
Obtaining file:///home/username/code/openai/gym-CartPole-bt-v0
Requirement already satisfied: gym in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym-CartPole-BT==0.0.1) (0.16.0)
Requirement already satisfied: pyglet<=1.5.0,>=1.4.0 in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym->gym-CartPole-BT==0.0.1) (1.4.10)
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x7f6acfdc9b50>: Failed to establish a new connection: [Errno -2] Name or service not known')': /simple/cloudpickle/

...

ERROR: Could not find a version that satisfies the requirement cloudpickle~=1.2.0 (from gym->gym-CartPole-BT==0.0.1) (from versions: none)
ERROR: No matching distribution found for cloudpickle~=1.2.0 (from gym->gym-CartPole-BT==0.0.1)

我不确定在此过程中到底是什么问题或为什么它需要访问互联网。

但是我确实进行了检查,并且安装了更新版本的cloudpickle:

$ conda list
# packages in environment at /home/username/miniconda3/envs/tf-gpu:
#
# Name                    Version                   Build  Channel
...
cloudpickle               1.3.0                    pypi_0    pypi
...

任何人都可以解释这里发生的事情以及解决该问题的想法吗?

1 个答案:

答案 0 :(得分:0)

我回到主节点并运行以下命令,它似乎将cloudpickle版本改回了

(tf-gpu) [username@hostname gym-CartPole-bt-v0]$ pip install gym
Requirement already satisfied: gym in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (0.16.0)
Requirement already satisfied: numpy>=1.10.4 in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.18.1)
Requirement already satisfied: pyglet<=1.5.0,>=1.4.0 in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.4.10)
Requirement already satisfied: six in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.14.0)
Collecting cloudpickle~=1.2.0
  Using cached cloudpickle-1.2.2-py2.py3-none-any.whl (25 kB)
Requirement already satisfied: scipy in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from gym) (1.4.1)
Requirement already satisfied: future in /home/username/miniconda3/envs/tf-gpu/lib/python3.7/site-packages (from pyglet<=1.5.0,>=1.4.0->gym) (0.18.2)
Installing collected packages: cloudpickle
  Attempting uninstall: cloudpickle
    Found existing installation: cloudpickle 1.3.0
    Uninstalling cloudpickle-1.3.0:
      Successfully uninstalled cloudpickle-1.3.0
Successfully installed cloudpickle-1.2.2