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<p>The class defined for the teacher model. Generate knowledge data and transfer them to the student model.</p>
</dd>
</dl>
<p><strong>Args:</strong></p>
<ul>
<li>
<p><strong>out_path (str|None)</strong> - The path to dump knowledge data for offline mode.</p>
</li>
<li>
<p><strong>out_port (int|None)</strong> - The IP port number to send out knowledge for online mode, should be unique when launching multiple teachers in the same node.</p>
</li>
</ul>
<p><strong>Return:</strong> An object of class Teacher</p>
<p>Start the knowledge service to generate and transfer knowledge data. In GPU mode, the devices to execute knowledge prediction will be determined by the
environment variable <strong>FLAGS_selected_gpus</strong>, or by <strong>CUDA_VISIBLE_DEVICES</strong> if it is not set, and by <strong>CPU_NUM</strong> (default 1) in CPU mode. Only supported in static graph.</p>
</dd>
</dl>
<p><strong>Args:</strong></p>
<ul>
<li><strong>feed_list (list):</strong> - A list of feed Variables or their names for the
input teacher Program.</li>
<li><strong>schema (dict):</strong> - A dictionary to specify keys and fetched Variables<br/>
to generate knowledge.</li>
<li><strong>program (fluid.Program):</strong> - Inference Program of the teacher model.</li>
<li>
<p><strong>reader_config (dict):</strong> - The config for data reader. Support all the three types of generators used by <ahref="https://www.paddlepaddle.org.cn/documentation/docs/en/api/io/PyReader.html">fluid.io.PyReader</a> and <ahref="https://www.paddlepaddle.org.cn/documentation/docs/en/api/io/DataLoader.html#dataloader">fluid.io.DataLoader</a>, and their configs contain the key-value pair of the generator type and a generator object, plus other necessary argument pairs. See the following:</p>
<p>The class defined for the student model. Receive knowledge data from
teacher model and carry out knowledge merging. </p>
</dd>
</dl>
<p><strong>Args:</strong></p>
<ul>
<li><strong>merge_strategy (dict|None):</strong> - A dictionary whose keys are the common schemas shared by different teachers, and each corresponding value specifies the merging strategy for different schemas respectively, supporting <strong>sum</strong> and <strong>mean</strong> now.</li>
</ul>
<p><strong>Return:</strong> An object of class Student.</p>
<p>Register one teacher model and assign the order number to it as its id, with the file path (offline mode) or IP address (online mode) that the teacher model writes knowledge data to.</p>
</dd>
</dl>
<p><strong>Args:</strong></p>
<ul>
<li><strong>in_path (str|None):</strong> The input file path. Default None.</li>
<li><strong>in_address (str|None):</strong> The input IP address, in the format "\<IP address>:\<IP port>" (e.g. "127.0.0.1:8080"). Default None.</li>
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