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develop/doc/api/v2/run_logic.html

@@ -502,7 +502,7 @@ index that reader returns.</li>
 <h2>Inference<a class="headerlink" href="#inference" title="Permalink to this headline">¶</a></h2>
 <dl class="function">
 <dt id="paddle.v2.infer">
-<code class="descclassname">paddle.v2.</code><code class="descname">infer</code><span class="sig-paren">(</span><em>output</em>, <em>parameters</em>, <em>input=None</em>, <em>batch_size=None</em>, <em>reader=None</em>, <em>feeding=None</em>, <em>field='value'</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.infer" title="Permalink to this definition">¶</a></dt>
+<code class="descclassname">paddle.v2.</code><code class="descname">infer</code><span class="sig-paren">(</span><em>output_layer</em>, <em>parameters</em>, <em>input</em>, <em>feeding=None</em>, <em>field='value'</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Infer a neural network by given neural network output and parameters.  The
 user should pass either a batch of input data or reader method.</p>
 <p>Example usages:</p>
@@ -516,14 +516,10 @@ user should pass either a batch of input data or reader method.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>output</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; output of the neural network that would be inferred</li>
+<li><strong>output_layer</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; output of the neural network that would be inferred</li>
 <li><strong>parameters</strong> (<a class="reference internal" href="#paddle.v2.parameters.Parameters" title="paddle.v2.parameters.Parameters"><em>paddle.v2.parameters.Parameters</em></a>) &#8211; parameters of the neural network.</li>
 <li><strong>input</strong> (<em>collections.Iterable</em>) &#8211; input data batch. Should be a python iterable object, and each
 element is the data batch.</li>
-<li><strong>batch_size</strong> (<em>int</em>) &#8211; the batch size when perform inference. Default is the
-length of input.</li>
-<li><strong>reader</strong> (<em>callable</em>) &#8211; input data reader creator in batch. If this field is set, the
-<cite>input</cite> and <cite>batch_size</cite> will be ignored.</li>
 <li><strong>feeding</strong> &#8211; Reader dictionary. Default could generate from input
 value.</li>
 <li><strong>field</strong> (<em>str</em>) &#8211; The prediction field. It should in [<cite>value</cite>, <cite>ids</cite>]. <cite>value</cite>

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Prediction","Activations","Parameter Attributes","DataSources","Evaluators","Layers","Networks","Optimizers","Poolings","Data Related API","Configuration Related API","Trainer API","PaddlePaddle Design Doc","Python Data Reader Design Doc","Simple Linear Regression","Installing from Sources","PaddlePaddle in Docker Containers","Install and Build","Debian Package installation guide","GET STARTED","RNN Models","RNN Configuration","Contribute Code","Write New Layers","HOW TO","Tune GPU Performance","Run Distributed Training","Argument Outline","Detail Description","Set Command-line Parameters","Use Case","Distributed PaddlePaddle Training on AWS with Kubernetes","Paddle On Kubernetes","<no title>","<no title>","PaddlePaddle Documentation","Chinese Word Embedding Model Tutorial","Generative Adversarial Networks (GAN)","Image Classification Tutorial","Model Zoo - ImageNet","TUTORIALS","Quick Start","MovieLens Dataset","Regression MovieLens Ratting","Semantic Role labeling Tutorial","Sentiment Analysis Tutorial","Text generation 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\ No newline at end of file

develop/doc_cn/api/v2/run_logic.html

@@ -509,7 +509,7 @@ index that reader returns.</li>
 <h2>Inference<a class="headerlink" href="#inference" title="永久链接至标题">¶</a></h2>
 <dl class="function">
 <dt id="paddle.v2.infer">
-<code class="descclassname">paddle.v2.</code><code class="descname">infer</code><span class="sig-paren">(</span><em>output</em>, <em>parameters</em>, <em>input=None</em>, <em>batch_size=None</em>, <em>reader=None</em>, <em>feeding=None</em>, <em>field='value'</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.infer" title="永久链接至目标">¶</a></dt>
+<code class="descclassname">paddle.v2.</code><code class="descname">infer</code><span class="sig-paren">(</span><em>output_layer</em>, <em>parameters</em>, <em>input</em>, <em>feeding=None</em>, <em>field='value'</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.infer" title="永久链接至目标">¶</a></dt>
 <dd><p>Infer a neural network by given neural network output and parameters.  The
 user should pass either a batch of input data or reader method.</p>
 <p>Example usages:</p>
@@ -523,14 +523,10 @@ user should pass either a batch of input data or reader method.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>output</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; output of the neural network that would be inferred</li>
+<li><strong>output_layer</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; output of the neural network that would be inferred</li>
 <li><strong>parameters</strong> (<a class="reference internal" href="#paddle.v2.parameters.Parameters" title="paddle.v2.parameters.Parameters"><em>paddle.v2.parameters.Parameters</em></a>) &#8211; parameters of the neural network.</li>
 <li><strong>input</strong> (<em>collections.Iterable</em>) &#8211; input data batch. Should be a python iterable object, and each
 element is the data batch.</li>
-<li><strong>batch_size</strong> (<em>int</em>) &#8211; the batch size when perform inference. Default is the
-length of input.</li>
-<li><strong>reader</strong> (<em>callable</em>) &#8211; input data reader creator in batch. If this field is set, the
-<cite>input</cite> and <cite>batch_size</cite> will be ignored.</li>
 <li><strong>feeding</strong> &#8211; Reader dictionary. Default could generate from input
 value.</li>
 <li><strong>field</strong> (<em>str</em>) &#8211; The prediction field. It should in [<cite>value</cite>, <cite>ids</cite>]. <cite>value</cite>