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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>

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>