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itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a class="breadcrumbs__link" href="/zh-cn/">🏠</a></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item"><span class="breadcrumbs__link" itemprop="item name">Design Docs</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item"><span class="breadcrumbs__link" itemprop="item name">Submarine Server</span><meta itemprop="position" content="2"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="item name">Generic Expeiment Spec</span><meta itemprop="position" content="3"></li></ul></nav><span class="theme-doc-version-badge badge badge--secondary">Version: 0.6.0</span><div class="tocCollapsible_jdIR theme-doc-toc-mobile tocMobile_TmEX"><button type="button" class="clean-btn tocCollapsibleButton_Fzxq">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Generic Expeiment Spec</h1></header><h2 class="anchor anchorWithStickyNavbar_mojV" id="motivation">Motivation<a class="hash-link" href="#motivation" title="Direct link to heading">​</a></h2><p>As the machine learning platform, the submarine should support multiple machine learning frameworks, such as Tensorflow, Pytorch etc. But different framework has different distributed components for the training experiment. So that we designed a generic experiment spec to abstract the training experiment across different frameworks. In this way, the submarine-server can hide the complexity of underlying infrastructure differences and provide a cleaner interface to manager experiments</p><h2 class="anchor anchorWithStickyNavbar_mojV" id="proposal">Proposal<a class="hash-link" href="#proposal" title="Direct link to heading">​</a></h2><p>Considering the Tensorflow and Pytorch framework, we propose one spec which consists of library spec, submitter spec and task specs etc. Such as:</p><div class="codeBlockContainer_I0IT language-yaml theme-code-block"><div class="codeBlockContent_wNvx" style="color:#bfc7d5;background-color:#292d3e"><pre tabindex="0" class="prism-code language-yaml codeBlock_jd64 thin-scrollbar"><code class="codeBlockLines_mRuA"><span class="token-line" style="color:#bfc7d5"><span class="token key atrule">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;mnist&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token key atrule">librarySpec</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;TensorFlow&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">version</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;2.1.0&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">image</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;apache/submarine:tf-mnist-with-summaries-1.0&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">cmd</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;python /var/tf_mnist/mnist_with_summaries.py --log_dir=/train/log --learning_rate=0.01 --batch_size=150&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">envVars</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">ENV_1</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;ENV1&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token key atrule">submitterSpec</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">type</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;k8s&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">namespace</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;submarine&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token key atrule">taskSpecs</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">Ps</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> tensorflow</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">replicas</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token number" style="color:rgb(247, 140, 108)">2</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">resources</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;cpu=4,memory=2048M,nvidia.com/gpu=1&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">Worker</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> tensorflow</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">replicas</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token number" style="color:rgb(247, 140, 108)">2</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">resources</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;cpu=4,memory=2048M,nvidia.com/gpu=1&quot;</span><br></span></code></pre><button type="button" aria-label="Copy code to clipboard" title="Copy" class="copyButton_eDfN clean-btn"><span class="copyButtonIcons_W9eQ" aria-hidden="true"><svg class="copyButtonIcon_XEyF" viewBox="0 0 24 24"><path d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg class="copyButtonSuccessIcon_i9w9" viewBox="0 0 24 24"><path d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div><h3 class="anchor anchorWithStickyNavbar_mojV" id="library-spec">Library Spec<a class="hash-link" href="#library-spec" title="Direct link to heading">​</a></h3><p>The library spec describes the info about machine learning framework. All the fields as below:</p><table><thead><tr><th>field</th><th>type</th><th>optional</th><th>description</th></tr></thead><tbody><tr><td>name</td><td>string</td><td>NO</td><td>Machine Learning Framework name. Only <code>&quot;tensorflow&quot;</code> and <code>&quot;pytorch&quot;</code> is supported. It doesn&#x27;t matter if the value is uppercase or lowercase.</td></tr><tr><td>version</td><td>string</td><td>NO</td><td>The version of ML framework. Such as: 2.1.0</td></tr><tr><td>image</td><td>string</td><td>NO</td><td>The public image used for each task if not specified. Such as: apache/submarine</td></tr><tr><td>cmd</td><td>string</td><td>YES</td><td>The public entry cmd for the task if not specified.</td></tr><tr><td>envVars</td><td>key/value</td><td>YES</td><td>The public env vars for the task if not specified.</td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_mojV" id="submitter-spec">Submitter Spec<a class="hash-link" href="#submitter-spec" title="Direct link to heading">​</a></h3><p>It describes the info of submitter which the user specified, such as yarn, yarnservice or k8s. All the fields as below:</p><table><thead><tr><th>field</th><th>type</th><th>optional</th><th>description</th></tr></thead><tbody><tr><td>type</td><td>string</td><td>NO</td><td>The submitter type, supports <code>k8s</code> now</td></tr><tr><td>configPath</td><td>string</td><td>YES</td><td>The config path of the specified resource manager. You can set it in submarine-site.xml if run submarine-server locally</td></tr><tr><td>namespace</td><td>string</td><td>NO</td><td>It&#x27;s known as queue in Apache Hadoop YARN and namespace in Kubernetes.</td></tr><tr><td>kind</td><td>string</td><td>YES</td><td>It&#x27;s used for k8s submitter, supports TFJob and PyTorchJob</td></tr><tr><td>apiVersion</td><td>string</td><td>YES</td><td>It should pair with the kind, such as the TFJob&#x27;s api version is <code>kubeflow.org/v1</code></td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_mojV" id="task-spec">Task Spec<a class="hash-link" href="#task-spec" title="Direct link to heading">​</a></h3><p>It describes the task info, the tasks make up the experiment. So it must be specified when submit the experiment. All the tasks should putted into the key value collection. Such as:</p><div class="codeBlockContainer_I0IT language-yaml theme-code-block"><div class="codeBlockContent_wNvx" style="color:#bfc7d5;background-color:#292d3e"><pre tabindex="0" class="prism-code language-yaml codeBlock_jd64 thin-scrollbar"><code class="codeBlockLines_mRuA"><span class="token-line" style="color:#bfc7d5"><span class="token key atrule">taskSpecs</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">Ps</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> tensorflow</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">replicas</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token number" style="color:rgb(247, 140, 108)">2</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">resources</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;cpu=4,memory=2048M,nvidia.com/gpu=1&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">  </span><span class="token key atrule">Worker</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> tensorflow</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">replicas</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token number" style="color:rgb(247, 140, 108)">2</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">    </span><span class="token key atrule">resources</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;cpu=4,memory=2048M,nvidia.com/gpu=1&quot;</span><br></span></code></pre><button type="button" aria-label="Copy code to clipboard" title="Copy" class="copyButton_eDfN clean-btn"><span class="copyButtonIcons_W9eQ" aria-hidden="true"><svg class="copyButtonIcon_XEyF" viewBox="0 0 24 24"><path d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg class="copyButtonSuccessIcon_i9w9" viewBox="0 0 24 24"><path d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div><p>All the fields as below:</p><table><thead><tr><th>field</th><th>type</th><th>optional</th><th>description</th></tr></thead><tbody><tr><td>name</td><td>string</td><td>YES</td><td>The experiment name, if not specify using the library name</td></tr><tr><td>image</td><td>string</td><td>YES</td><td>The experiment docker image</td></tr><tr><td>cmd</td><td>string</td><td>YES</td><td>The entry command for running task</td></tr><tr><td>envVars</td><td>key/value</td><td>YES</td><td>The environment variables for the task</td></tr><tr><td>resources</td><td>string</td><td>NO</td><td>The limit resource for the task. Formatter: cpu=%s,memory=%s,nvidia.com/gpu=%s</td></tr></tbody></table><h2 class="anchor anchorWithStickyNavbar_mojV" id="implements">Implements<a class="hash-link" href="#implements" title="Direct link to heading">​</a></h2><p>For more info see <a href="https://issues.apache.org/jira/browse/SUBMARINE-321" target="_blank" rel="noopener noreferrer">SUBMARINE-321</a></p></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="theme-doc-footer-edit-meta-row row"><div class="col"><a href="https://github.com/apache/submarine/edit/master/website/versioned_docs/version-0.6.0/designDocs/submarine-server/experimentSpec.md" target="_blank" rel="noreferrer noopener" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_dcUD" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this 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