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创建ML-Agents的Docker镜像.html
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2019-01-04
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2019-05-10
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<h1 id="创建ML-Agents的Docker镜像"><a href="#创建ML-Agents的Docker镜像" class="headerlink" title="创建ML-Agents的Docker镜像"></a>创建ML-Agents的Docker镜像</h1><a id="more"></a>
<h2 id="前言"><a href="#前言" class="headerlink" title="前言"></a>前言</h2><p> 如果需要在镜像中使用GPU训练,可以将Nvidia的官方镜像作为基础镜像,<code>Dockerfile</code>如下:<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br></pre></td><td class="code"><pre><span class="line">FROM nvidia/cuda:9.0-base-ubuntu16.04</span><br><span class="line">LABEL maintainer "NVIDIA CORPORATION <[email protected]>"</span><br><span class="line"></span><br><span class="line">ENV NCCL_VERSION 2.3.7</span><br><span class="line"></span><br><span class="line">RUN apt-get update && apt-get install -y --no-install-recommends \</span><br><span class="line"> apt-utils \</span><br><span class="line"> cuda-libraries-$CUDA_PKG_VERSION \</span><br><span class="line"> cuda-cublas-9-0=9.0.176.4-1 \</span><br><span class="line"> libnccl2=$NCCL_VERSION-1+cuda9.0 && \</span><br><span class="line"> apt-mark hold libnccl2 && \</span><br><span class="line"> rm -rf /var/lib/apt/lists/*</span><br><span class="line"></span><br><span class="line">RUN apt-get update && apt-get install -y openssh-server</span><br><span class="line"></span><br><span class="line">RUN apt-get install -y nano</span><br><span class="line"></span><br><span class="line">RUN mkdir /var/run/sshd</span><br><span class="line"></span><br><span class="line">RUN echo "root:1234" | chpasswd</span><br><span class="line"></span><br><span class="line">RUN sed -i 's/prohibit-password/yes/g' /etc/ssh/sshd_config</span><br><span class="line"></span><br><span class="line">EXPOSE 22</span><br><span class="line"></span><br><span class="line">ENTRYPOINT ["/usr/sbin/sshd","-D"]</span><br></pre></td></tr></table></figure></p>
<h2 id="ML-Agents-v0-6-0"><a href="#ML-Agents-v0-6-0" class="headerlink" title="ML-Agents v0.6.0"></a>ML-Agents v0.6.0</h2><p><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_10-44-58.png" alt=""></p>
<h3 id="环境"><a href="#环境" class="headerlink" title="环境"></a>环境</h3><p>本机环境</p>
<ul>
<li>ML-Agents 0.6.0</li>
<li>Windows 10 专业版</li>
<li>docker client version 18.09.0</li>
<li>docker server version 18.09.0</li>
</ul>
<p>平台</p>
<ul>
<li><a href="http://10.0.4.228" rel="external nofollow" target="_blank">机器学习平台</a></li>
</ul>
<h3 id="创建镜像"><a href="#创建镜像" class="headerlink" title="创建镜像"></a>创建镜像</h3><ol>
<li>打开<code>~/ml-agents-0.6.0/</code>目录,看到有一个官方给定的<code>Dockerfile</code><br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_10-52-49.png" alt=""></li>
<li>直接<code>Build</code>,在该目录下运行<code>docker build -t [name]:[tag] .</code>,一定要注意最后的<code>.</code>,很<strong>重要</strong><br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_11-29-30.png" alt=""></li>
<li>新建一个<code>sources.list</code>文件,为镜像内换源,因为将来有可能需要在容器内安装某些包,有一些国外的资源往往会下载失败,所以需要<strong>换源</strong></li>
</ol>
<ul>
<li>新建一个<code>sources.list</code></li>
<li><p>用文本编辑器打开,写入以下内容<br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_11-36-31.png" alt=""></p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br></pre></td><td class="code"><pre><span class="line"># deb cdrom:[Ubuntu 16.04 LTS _Xenial Xerus_ - Release amd64 (20160420.1)]/ xenial main restricted</span><br><span class="line">deb-src http://archive.ubuntu.com/ubuntu xenial main restricted #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial main restricted</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial main restricted multiverse universe #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted multiverse universe #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial universe</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-updates universe</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial multiverse</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-updates multiverse</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse #Added by software-properties</span><br><span class="line">deb http://archive.canonical.com/ubuntu xenial partner</span><br><span class="line">deb-src http://archive.canonical.com/ubuntu xenial partner</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted multiverse universe #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-security universe</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-security multiverse</span><br></pre></td></tr></table></figure>
</li>
<li><p>保存退出</p>
</li>
</ul>
<ol>
<li>新建一个<code>DockerfilePlus</code>,在官方生成的基础镜像上安装一些可以在平台上运行的包,<code>openssh-server</code>,联网工具<code>net-tools</code>,心爱的<code>apt-file</code>等等</li>
</ol>
<ul>
<li>新建一个<code>DockerfilePlus</code></li>
<li>用文本编辑器打开,输入以下内容<br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_12-01-32.png" alt=""><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br></pre></td><td class="code"><pre><span class="line">FROM hub.hoc.ccshu.net/wjs/mlunityv060:v0.1</span><br><span class="line"></span><br><span class="line">RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak</span><br><span class="line">COPY sources.list /etc/apt/sources.list</span><br><span class="line"></span><br><span class="line">ENV PYTHONPATH /ml-agents:$PYTHONPATH</span><br><span class="line"></span><br><span class="line">RUN apt-get update && apt-get install -y \</span><br><span class="line"> apt-file \</span><br><span class="line"> nano \</span><br><span class="line"> net-tools \</span><br><span class="line"> iputils-ping \</span><br><span class="line"> openssh-server \</span><br><span class="line"> apt-utils \</span><br><span class="line"> && rm -rf /var/lib/apt/lists/* \</span><br><span class="line"> && mkdir /var/run/sshd \</span><br><span class="line"> && echo "root:1234" | chpasswd \</span><br><span class="line"> && sed -i 's/prohibit-password/yes/g' /etc/ssh/sshd_config</span><br><span class="line"></span><br><span class="line">EXPOSE 22</span><br><span class="line"></span><br><span class="line">ENTRYPOINT ["/usr/sbin/sshd","-D"]</span><br></pre></td></tr></table></figure>
</li>
</ul>
<ol>
<li>在<code>DockerfilePlus</code>所在文件夹下,执行<code>build -t [name]:[tag] -f DockerfilePlus .</code></li>
</ol>
<p><strong>为了使用GPU.改写完的Dockerfile如下(不需要看):</strong><br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br><span class="line">57</span><br><span class="line">58</span><br><span class="line">59</span><br><span class="line">60</span><br><span class="line">61</span><br><span class="line">62</span><br><span class="line">63</span><br><span class="line">64</span><br><span class="line">65</span><br><span class="line">66</span><br><span class="line">67</span><br><span class="line">68</span><br><span class="line">69</span><br><span class="line">70</span><br><span class="line">71</span><br><span class="line">72</span><br><span class="line">73</span><br><span class="line">74</span><br><span class="line">75</span><br><span class="line">76</span><br><span class="line">77</span><br><span class="line">78</span><br><span class="line">79</span><br><span class="line">80</span><br><span class="line">81</span><br><span class="line">82</span><br><span class="line">83</span><br><span class="line">84</span><br><span class="line">85</span><br><span class="line">86</span><br><span class="line">87</span><br><span class="line">88</span><br><span class="line">89</span><br><span class="line">90</span><br><span class="line">91</span><br><span class="line">92</span><br><span class="line">93</span><br><span class="line">94</span><br><span class="line">95</span><br><span class="line">96</span><br><span class="line">97</span><br><span class="line">98</span><br><span class="line">99</span><br><span class="line">100</span><br><span class="line">101</span><br><span class="line">102</span><br><span class="line">103</span><br><span class="line">104</span><br><span class="line">105</span><br><span class="line">106</span><br><span class="line">107</span><br><span class="line">108</span><br><span class="line">109</span><br><span class="line">110</span><br><span class="line">111</span><br><span class="line">112</span><br><span class="line">113</span><br><span class="line">114</span><br><span class="line">115</span><br><span class="line">116</span><br><span class="line">117</span><br><span class="line">118</span><br><span class="line">119</span><br><span class="line">120</span><br><span class="line">121</span><br><span class="line">122</span><br><span class="line">123</span><br><span class="line">124</span><br><span class="line">125</span><br><span class="line">126</span><br><span class="line">127</span><br><span class="line">128</span><br><span class="line">129</span><br><span class="line">130</span><br><span class="line">131</span><br><span class="line">132</span><br><span class="line">133</span><br><span class="line">134</span><br><span class="line">135</span><br><span class="line">136</span><br><span class="line">137</span><br><span class="line">138</span><br><span class="line">139</span><br><span class="line">140</span><br><span class="line">141</span><br><span class="line">142</span><br><span class="line">143</span><br><span class="line">144</span><br><span class="line">145</span><br><span class="line">146</span><br><span class="line">147</span><br><span class="line">148</span><br><span class="line">149</span><br><span class="line">150</span><br><span class="line">151</span><br><span class="line">152</span><br><span class="line">153</span><br><span class="line">154</span><br><span class="line">155</span><br><span class="line">156</span><br><span class="line">157</span><br><span class="line">158</span><br><span class="line">159</span><br><span class="line">160</span><br><span class="line">161</span><br></pre></td><td class="code"><pre><span class="line">FROM nvidia/cuda:9.0-base-ubuntu16.04</span><br><span class="line">LABEL maintainer "Keavnn <https://stepneverstop.github.io>"</span><br><span class="line"></span><br><span class="line">ENV NCCL_VERSION 2.3.7</span><br><span class="line"></span><br><span class="line">RUN apt-get update && apt-get install -y --no-install-recommends \</span><br><span class="line"> apt-utils \</span><br><span class="line"> cuda-libraries-$CUDA_PKG_VERSION \</span><br><span class="line"> cuda-cublas-9-0=9.0.176.4-1 \</span><br><span class="line"> libnccl2=$NCCL_VERSION-1+cuda9.0 && \</span><br><span class="line"> apt-mark hold libnccl2 && \</span><br><span class="line"> rm -rf /var/lib/apt/lists/*</span><br><span class="line"></span><br><span class="line"></span><br><span class="line"># ensure local python is preferred over distribution python</span><br><span class="line">ENV PATH /usr/local/bin:$PATH</span><br><span class="line"></span><br><span class="line"># http://bugs.python.org/issue19846</span><br><span class="line"># > At the moment, setting "LANG=C" on a Linux system *fundamentally breaks Python 3*, and that's not OK.</span><br><span class="line">ENV LANG C.UTF-8</span><br><span class="line"></span><br><span class="line"># runtime dependencies</span><br><span class="line">RUN apt-get update && apt-get install -y --no-install-recommends \</span><br><span class="line"> ca-certificates \</span><br><span class="line"> libexpat1 \</span><br><span class="line"> libffi6 \</span><br><span class="line"> libgdbm3 \</span><br><span class="line"> libreadline6 \</span><br><span class="line"> libsqlite3-0 \</span><br><span class="line"> libssl1.0.0 \</span><br><span class="line"> && rm -rf /var/lib/apt/lists/*</span><br><span class="line"></span><br><span class="line">ENV GPG_KEY 0D96DF4D4110E5C43FBFB17F2D347EA6AA65421D</span><br><span class="line">ENV PYTHON_VERSION 3.6.4</span><br><span class="line"></span><br><span class="line">RUN set -ex \</span><br><span class="line"> && buildDeps=" \</span><br><span class="line"> dpkg-dev \</span><br><span class="line"> gcc \</span><br><span class="line"> libbz2-dev \</span><br><span class="line"> libc6-dev \</span><br><span class="line"> libexpat1-dev \</span><br><span class="line"> libffi-dev \</span><br><span class="line"> libgdbm-dev \</span><br><span class="line"> liblzma-dev \</span><br><span class="line"> libncursesw5-dev \</span><br><span class="line"> libreadline-dev \</span><br><span class="line"> libsqlite3-dev \</span><br><span class="line"> libssl-dev \</span><br><span class="line"> make \</span><br><span class="line"> tcl-dev \</span><br><span class="line"> tk-dev \</span><br><span class="line"> wget \</span><br><span class="line"> xz-utils \</span><br><span class="line"> zlib1g-dev \</span><br><span class="line"># as of Stretch, "gpg" is no longer included by default</span><br><span class="line"> $(command -v gpg > /dev/null || echo 'gnupg dirmngr') \</span><br><span class="line"> " \</span><br><span class="line"> && apt-get update && apt-get install -y $buildDeps --no-install-recommends && rm -rf /var/lib/apt/lists/* \</span><br><span class="line"> \</span><br><span class="line"> && wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz" \</span><br><span class="line"> && wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc" \</span><br><span class="line"> && export GNUPGHOME="$(mktemp -d)" \</span><br><span class="line"> && gpg --keyserver ha.pool.sks-keyservers.net --recv-keys "$GPG_KEY" \</span><br><span class="line"> && gpg --batch --verify python.tar.xz.asc python.tar.xz \</span><br><span class="line"> && rm -rf "$GNUPGHOME" python.tar.xz.asc \</span><br><span class="line"> && mkdir -p /usr/src/python \</span><br><span class="line"> && tar -xJC /usr/src/python --strip-components=1 -f python.tar.xz \</span><br><span class="line"> && rm python.tar.xz \</span><br><span class="line"> \</span><br><span class="line"> && cd /usr/src/python \</span><br><span class="line"> && gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)" \</span><br><span class="line"> && ./configure \</span><br><span class="line"> --build="$gnuArch" \</span><br><span class="line"> --enable-loadable-sqlite-extensions \</span><br><span class="line"> --enable-shared \</span><br><span class="line"> --with-system-expat \</span><br><span class="line"> --with-system-ffi \</span><br><span class="line"> --without-ensurepip \</span><br><span class="line"> && make -j "$(nproc)" \</span><br><span class="line"> && make install \</span><br><span class="line"> && ldconfig \</span><br><span class="line"> \</span><br><span class="line"> && apt-get purge -y --auto-remove $buildDeps \</span><br><span class="line"> \</span><br><span class="line"> && find /usr/local -depth \</span><br><span class="line"> \( \</span><br><span class="line"> \( -type d -a \( -name test -o -name tests \) \) \</span><br><span class="line"> -o \</span><br><span class="line"> \( -type f -a \( -name '*.pyc' -o -name '*.pyo' \) \) \</span><br><span class="line"> \) -exec rm -rf '{}' + \</span><br><span class="line"> && rm -rf /usr/src/python</span><br><span class="line"></span><br><span class="line"># make some useful symlinks that are expected to exist</span><br><span class="line">RUN cd /usr/local/bin \</span><br><span class="line"> && ln -s idle3 idle \</span><br><span class="line"> && ln -s pydoc3 pydoc \</span><br><span class="line"> && ln -s python3 python \</span><br><span class="line"> && ln -s python3-config python-config</span><br><span class="line"></span><br><span class="line"># if this is called "PIP_VERSION", pip explodes with "ValueError: invalid truth value '<VERSION>'"</span><br><span class="line">ENV PYTHON_PIP_VERSION 9.0.3</span><br><span class="line"></span><br><span class="line">RUN set -ex; \</span><br><span class="line"> \</span><br><span class="line"> apt-get update; \</span><br><span class="line"> apt-get install -y --no-install-recommends wget; \</span><br><span class="line"> rm -rf /var/lib/apt/lists/*; \</span><br><span class="line"> \</span><br><span class="line"> wget -O get-pip.py 'https://bootstrap.pypa.io/get-pip.py'; \</span><br><span class="line"> \</span><br><span class="line"> apt-get purge -y --auto-remove wget; \</span><br><span class="line"> \</span><br><span class="line"> python get-pip.py \</span><br><span class="line"> --disable-pip-version-check \</span><br><span class="line"> --no-cache-dir \</span><br><span class="line"> "pip==$PYTHON_PIP_VERSION" \</span><br><span class="line"> ; \</span><br><span class="line"> pip --version; \</span><br><span class="line"> \</span><br><span class="line"> find /usr/local -depth \</span><br><span class="line"> \( \</span><br><span class="line"> \( -type d -a \( -name test -o -name tests \) \) \</span><br><span class="line"> -o \</span><br><span class="line"> \( -type f -a \( -name '*.pyc' -o -name '*.pyo' \) \) \</span><br><span class="line"> \) -exec rm -rf '{}' +; \</span><br><span class="line"> rm -f get-pip.py</span><br><span class="line"></span><br><span class="line"></span><br><span class="line">RUN apt-get update && apt-get -y upgrade</span><br><span class="line"></span><br><span class="line"># xvfb is used to do CPU based rendering of Unity</span><br><span class="line">RUN apt-get install -y xvfb</span><br><span class="line"></span><br><span class="line">COPY ml-agents /ml-agents</span><br><span class="line">WORKDIR /ml-agents</span><br><span class="line">RUN pip install .</span><br><span class="line"></span><br><span class="line"># port 5005 is the port used in in Editor training.</span><br><span class="line">EXPOSE 5005</span><br><span class="line"></span><br><span class="line">RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak</span><br><span class="line">COPY sources.list /etc/apt/sources.list</span><br><span class="line"></span><br><span class="line">ENV PYTHONPATH /ml-agents:$PYTHONPATH</span><br><span class="line"></span><br><span class="line">RUN apt-get update && apt-get install -y \</span><br><span class="line"> apt-file \</span><br><span class="line"> nano \</span><br><span class="line"> net-tools \</span><br><span class="line"> iputils-ping \</span><br><span class="line"> openssh-server \</span><br><span class="line"> apt-utils \</span><br><span class="line"> && rm -rf /var/lib/apt/lists/* \</span><br><span class="line"> && mkdir /var/run/sshd \</span><br><span class="line"> && echo "root:1234" | chpasswd \</span><br><span class="line"> && sed -i 's/prohibit-password/yes/g' /etc/ssh/sshd_config</span><br><span class="line"></span><br><span class="line">EXPOSE 22</span><br><span class="line"></span><br><span class="line">ENTRYPOINT ["/usr/sbin/sshd","-D"]</span><br></pre></td></tr></table></figure></p>
<h3 id="PUSH镜像"><a href="#PUSH镜像" class="headerlink" title="PUSH镜像"></a>PUSH镜像</h3><p><code>docker push [name]:[tag]</code><br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_12-02-47.png" alt=""></p>
<h3 id="测试镜像"><a href="#测试镜像" class="headerlink" title="测试镜像"></a>测试镜像</h3><ul>
<li>登录<a href="http://10.0.4.228" rel="external nofollow" target="_blank">机器学习平台</a>,没有使用平台的可以在本地使用<code>docker run</code>直接开启容器</li>
<li>先测试使用容器的方式<ul>
<li>创建容器<br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_13-28-19.png" alt=""><br>将要运行和储存的文件夹放在数据卷<code>data</code>下,这个目录要在运行时由<code>--docker-target-name</code>指定</li>
<li>等待容器创建成功<br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_13-31-15.png" alt=""></li>
<li>容器创建成功后进入容器<br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_13-31-52.png" alt=""></li>
<li>执行<code>mlagents-learn trainer_config.yaml --docker-target-name=data/unity-volume --env=3dball --train --run-id=test --save-freq=5000 | tee /data/unity-volume/log.txt</code>,如果不想在屏幕输出,可以在后边加上<code>>/dev/null</code><br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_15-16-44.png" alt=""><br><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-04_15-18-40.png" alt=""></li>
</ul>
</li>
</ul>
<hr>
<h2 id="安装Miniconda"><a href="#安装Miniconda" class="headerlink" title="安装Miniconda"></a>安装Miniconda</h2><p>确保你的安装包放在了data文件夹下<br><code>apt-get update && apt-get install bzip2 -y && cd /data && bash Miniconda3-latest-Linux-x86_64.sh</code></p>
<p>一路按回车、yes等等就成功了.如果需要安装到指定目录,在安装过程中会有提示告诉你让你指定安装路径</p>
<p><em>注意</em></p>
<p>在<a href="http://10.0.4.228/" rel="external nofollow" target="_blank">学校机器学习平台</a>上使用时,如果是使用容器的方式,那么新开的容器就可以使用<code>conda</code>命令,不存在<code>conda:command not found</code>的错误信息.</p>
<p>但是,如果在平台上以<strong>提交任务</strong>的形式来使用带conda的镜像所产生的容器时,就算是在镜像中配置了<code>echo 'export PATH="~/anaconda3/bin:$PATH"' >> ~/.bashrc</code>,当提交任务时环境变量中仍然没有<code>~/anaconda3/bin</code>,这个问题目前没有找到比较方便的解决办法,目前所采用的方式是:</p>
<p>在提交任务时, 首先加上命令<code>export PATH="~/anaconda3/bin:$PATH" &&</code></p>
<p><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-11_13-25-17.png" alt=""></p>
<p>接着又实验了一下<code>echo 'export PATH="~/anaconda3/bin:$PATH"' >> /etc/profile</code>, 正常来说, 如果在容器中这样设置环境变量, 等待下次从镜像创建容器时, 这个环境变量一般并不会生效, 但是不知道这样设置对于提交任务方式来说有没有效, 索性试了一下</p>
<p><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-11_13-35-56.png" alt=""></p>
<p>根据输出日志来看, 这种方式也并没有奏效</p>
<p><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-11_13-39-26.png" alt=""></p>
<p>当然, 如果觉得上述配置比较麻烦的话,可以使用<code>Dockerfile</code>的<code>ENV</code>命令来设置环境变量, 这样设置99%是不会有问题的</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">FROM hub.hoc.ccshu.net/wjs/mlunityv060:v1.4.5</span><br><span class="line">ENV PATH /usr/miniconda3/bin:$PATH</span><br></pre></td></tr></table></figure>
<p>实验了一下,<br>结果如下:</p>
<p><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-11_15-02-16.png" alt=""></p>
<p>表示可以使用<code>conda</code>命令, 但是不能使用<code>conda activate</code>命令激活环境</p>
<p>根据错误信息, 在<code>Dockerfile</code>中写入以下代码也不可行:</p>
<p><code>RUN ln -s /usr/miniconda3/etc/profile.d/conda.sh /etc/profile.d/conda.sh</code></p>
<p>查了一下相关资料,发现在4.5版本的conda是无解的<br><a href="https://github.com/ContinuumIO/docker-images/issues/89" rel="external nofollow" target="_blank">https://github.com/ContinuumIO/docker-images/issues/89</a></p>
<p><img src="./创建ML-Agents的Docker镜像/Snipaste_2019-01-11_22-38-42.png" alt=""></p>
<p>希望4.6版本可以解决吧</p>
<p><strong>更新2019年1月14日14:26:01</strong><br><strong>已解决</strong></p>
<p>4.6版本的确可以解决以提交任务模式运行时的问题, 需要使用命令<code>conda run -n [环境名字] [要执行的命令]</code>, 而不是使用<code>conda activate [环境名字]</code>先激活一个环境.</p>
<p>不过, 更新至4.6版本需要相关配置<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">conda config --add channels conda-canary</span><br><span class="line">conda update conda</span><br></pre></td></tr></table></figure></p>
<p>我使用Dockerfile来生成镜像, 代码如下:<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line">FROM hub.hoc.ccshu.net/wjs/mlunityv060:v1.4.6</span><br><span class="line"></span><br><span class="line">ENV PATH /usr/miniconda3/bin:$PATH</span><br><span class="line">RUN conda config --add channels conda-canary && conda update conda -y</span><br></pre></td></tr></table></figure></p>
<p>原因是, 使用Dockerfile比较容易设置环境变量, 减少出错</p>
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<p><span>本文标题:</span><a href="/创建ML-Agents的Docker镜像.html">创建ML-Agents的Docker镜像</a></p>
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<div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-1"><a class="nav-link" href="#创建ML-Agents的Docker镜像"><span class="nav-number">1.</span> <span class="nav-text">创建ML-Agents的Docker镜像</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#前言"><span class="nav-number">1.1.</span> <span class="nav-text">前言</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#ML-Agents-v0-6-0"><span class="nav-number">1.2.</span> <span class="nav-text">ML-Agents v0.6.0</span></a><ol class="nav-child"><li class="nav-item nav-level-3"><a class="nav-link" href="#环境"><span class="nav-number">1.2.1.</span> <span class="nav-text">环境</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#创建镜像"><span class="nav-number">1.2.2.</span> <span class="nav-text">创建镜像</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#PUSH镜像"><span class="nav-number">1.2.3.</span> <span class="nav-text">PUSH镜像</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#测试镜像"><span class="nav-number">1.2.4.</span> <span class="nav-text">测试镜像</span></a></li></ol></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装Miniconda"><span class="nav-number">1.3.</span> <span class="nav-text">安装Miniconda</span></a></li></ol></li></ol></div>
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