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<li class="navelem"><a class="el" href="namespacemxnet.html">mxnet</a></li><li class="navelem"><a class="el" href="classmxnet_1_1Executor.html">Executor</a></li> </ul>
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<div class="summary">
<a href="#pub-types">Public Types</a> &#124;
<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
<a href="classmxnet_1_1Executor-members.html">List of all members</a> </div>
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<div class="title">mxnet::Executor Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div>
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<p><a class="el" href="classmxnet_1_1Executor.html" title="Executor of a computation graph. Executor can be created by Binding a symbol.">Executor</a> of a computation graph. <a class="el" href="classmxnet_1_1Executor.html" title="Executor of a computation graph. Executor can be created by Binding a symbol.">Executor</a> can be created by Binding a symbol.
<a href="classmxnet_1_1Executor.html#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="include_2mxnet_2executor_8h_source.html">executor.h</a>&gt;</code></p>
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Collaboration diagram for mxnet::Executor:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a5684c74daafc9b80681cde6a9b7b4587"><td class="memItemLeft" align="right" valign="top">typedef std::function&lt; void(const char *, void *)&gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a5684c74daafc9b80681cde6a9b7b4587">MonitorCallback</a></td></tr>
<tr class="memdesc:a5684c74daafc9b80681cde6a9b7b4587"><td class="mdescLeft">&#160;</td><td class="mdescRight">the prototype of user-defined monitor callback <a href="classmxnet_1_1Executor.html#a5684c74daafc9b80681cde6a9b7b4587">More...</a><br /></td></tr>
<tr class="separator:a5684c74daafc9b80681cde6a9b7b4587"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Public Member Functions</h2></td></tr>
<tr class="memitem:adf445ff665c954061889d6bbee3c1c2a"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#adf445ff665c954061889d6bbee3c1c2a">~Executor</a> ()</td></tr>
<tr class="memdesc:adf445ff665c954061889d6bbee3c1c2a"><td class="mdescLeft">&#160;</td><td class="mdescRight">destructor <a href="classmxnet_1_1Executor.html#adf445ff665c954061889d6bbee3c1c2a">More...</a><br /></td></tr>
<tr class="separator:adf445ff665c954061889d6bbee3c1c2a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab3716be8e6c265b091e618f46eeb6f9b"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#ab3716be8e6c265b091e618f46eeb6f9b">Forward</a> (bool is_train)=0</td></tr>
<tr class="memdesc:ab3716be8e6c265b091e618f46eeb6f9b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a Forward operation of <a class="el" href="classmxnet_1_1Operator.html" title="Operator interface. Operator defines basic operation unit of optimized computation graph in mxnet....">Operator</a> After this operation, user can get the result by using function head. <a href="classmxnet_1_1Executor.html#ab3716be8e6c265b091e618f46eeb6f9b">More...</a><br /></td></tr>
<tr class="separator:ab3716be8e6c265b091e618f46eeb6f9b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3e261d44065848e434c527000d4390c8"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a3e261d44065848e434c527000d4390c8">PartialForward</a> (bool is_train, int step, int *step_left)=0</td></tr>
<tr class="memdesc:a3e261d44065848e434c527000d4390c8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a Partial Forward operation of <a class="el" href="classmxnet_1_1Operator.html" title="Operator interface. Operator defines basic operation unit of optimized computation graph in mxnet....">Operator</a>. Only issue operation specified by step. The caller must keep calling PartialForward with increasing steps, until step_left=0. <a href="classmxnet_1_1Executor.html#a3e261d44065848e434c527000d4390c8">More...</a><br /></td></tr>
<tr class="separator:a3e261d44065848e434c527000d4390c8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa2fd32510a718aff38323e63be0d65e3"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#aa2fd32510a718aff38323e63be0d65e3">Backward</a> (const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;head_grads, bool is_train=true)=0</td></tr>
<tr class="memdesc:aa2fd32510a718aff38323e63be0d65e3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Perform a Backward operation of the <a class="el" href="classmxnet_1_1Operator.html" title="Operator interface. Operator defines basic operation unit of optimized computation graph in mxnet....">Operator</a>. This must be called after Forward. After this operation, NDArrays specified by grad_in_args_store will be updated accordingly. User is allowed to pass in an empty <a class="el" href="classmxnet_1_1Array.html" title="Array container of NodeRef in DSL graph. Array implements copy on write semantics,...">Array</a> if the head node is loss function and head gradeitn is not needed. <a href="classmxnet_1_1Executor.html#aa2fd32510a718aff38323e63be0d65e3">More...</a><br /></td></tr>
<tr class="separator:aa2fd32510a718aff38323e63be0d65e3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac391ee6cf8cf8afb60acd0480db2ae86"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#ac391ee6cf8cf8afb60acd0480db2ae86">Print</a> (std::ostream &amp;os) const</td></tr>
<tr class="memdesc:ac391ee6cf8cf8afb60acd0480db2ae86"><td class="mdescLeft">&#160;</td><td class="mdescRight">print the execution plan info to output stream. <a href="classmxnet_1_1Executor.html#ac391ee6cf8cf8afb60acd0480db2ae86">More...</a><br /></td></tr>
<tr class="separator:ac391ee6cf8cf8afb60acd0480db2ae86"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a16d0f1ab276e32242685702aa10b9a3d"><td class="memItemLeft" align="right" valign="top">virtual const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a16d0f1ab276e32242685702aa10b9a3d">outputs</a> () const =0</td></tr>
<tr class="memdesc:a16d0f1ab276e32242685702aa10b9a3d"><td class="mdescLeft">&#160;</td><td class="mdescRight">get array of outputs in the executor. <a href="classmxnet_1_1Executor.html#a16d0f1ab276e32242685702aa10b9a3d">More...</a><br /></td></tr>
<tr class="separator:a16d0f1ab276e32242685702aa10b9a3d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a07a3e917596ed08718ee2859283c2476"><td class="memItemLeft" align="right" valign="top">virtual const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a07a3e917596ed08718ee2859283c2476">in_arg_map</a> () const =0</td></tr>
<tr class="memdesc:a07a3e917596ed08718ee2859283c2476"><td class="mdescLeft">&#160;</td><td class="mdescRight">get input argument map, key is arg name, value is arg's <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a>. <a href="classmxnet_1_1Executor.html#a07a3e917596ed08718ee2859283c2476">More...</a><br /></td></tr>
<tr class="separator:a07a3e917596ed08718ee2859283c2476"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a84552a918a65633678f30c00a2a0ae7f"><td class="memItemLeft" align="right" valign="top">virtual const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a84552a918a65633678f30c00a2a0ae7f">arg_grad_map</a> () const =0</td></tr>
<tr class="memdesc:a84552a918a65633678f30c00a2a0ae7f"><td class="mdescLeft">&#160;</td><td class="mdescRight">get input argument graident map, key is arg name, value is gradient's <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a>. <a href="classmxnet_1_1Executor.html#a84552a918a65633678f30c00a2a0ae7f">More...</a><br /></td></tr>
<tr class="separator:a84552a918a65633678f30c00a2a0ae7f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0a38a98fc4dcddc4205b5980ee7bdc4b"><td class="memItemLeft" align="right" valign="top">virtual const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a0a38a98fc4dcddc4205b5980ee7bdc4b">aux_state_map</a> () const =0</td></tr>
<tr class="memdesc:a0a38a98fc4dcddc4205b5980ee7bdc4b"><td class="mdescLeft">&#160;</td><td class="mdescRight">get aux state map, key is arg name, value is aux state's <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a>. <a href="classmxnet_1_1Executor.html#a0a38a98fc4dcddc4205b5980ee7bdc4b">More...</a><br /></td></tr>
<tr class="separator:a0a38a98fc4dcddc4205b5980ee7bdc4b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a14a0c3efb6f8a7b5335854f0a8c08013"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classmxnet_1_1Executor.html">Executor</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a14a0c3efb6f8a7b5335854f0a8c08013">Reshape</a> (const bool partial_shaping, const bool allow_up_sizing, const <a class="el" href="structmxnet_1_1Context.html">Context</a> &amp;default_ctx, const std::map&lt; std::string, <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;ctx_map, const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &gt; &amp;provided_arg_shapes, std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *in_args, std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *arg_grads, std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *aux_states)=0</td></tr>
<tr class="memdesc:a14a0c3efb6f8a7b5335854f0a8c08013"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return a new executor with the same symbol and shared memory, but different input/output shapes. <a href="classmxnet_1_1Executor.html#a14a0c3efb6f8a7b5335854f0a8c08013">More...</a><br /></td></tr>
<tr class="separator:a14a0c3efb6f8a7b5335854f0a8c08013"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a11d863ca81fad9d55112b77e5aaf388c"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#a11d863ca81fad9d55112b77e5aaf388c">SetMonitorCallback</a> (const <a class="el" href="classmxnet_1_1Executor.html#a5684c74daafc9b80681cde6a9b7b4587">MonitorCallback</a> &amp;callback, bool monitor_all=false)</td></tr>
<tr class="memdesc:a11d863ca81fad9d55112b77e5aaf388c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Install a callback to notify the completion of operation. <a href="classmxnet_1_1Executor.html#a11d863ca81fad9d55112b77e5aaf388c">More...</a><br /></td></tr>
<tr class="separator:a11d863ca81fad9d55112b77e5aaf388c"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:ad4c72f642143d2eb264f29c1e28bab59"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classmxnet_1_1Executor.html">Executor</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#ad4c72f642143d2eb264f29c1e28bab59">Bind</a> (<a class="el" href="classnnvm_1_1Symbol.html">nnvm::Symbol</a> symbol, const <a class="el" href="structmxnet_1_1Context.html">Context</a> &amp;default_ctx, const std::map&lt; std::string, <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;group2ctx, const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;in_args, const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;arg_grad_store, const std::vector&lt; <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> &gt; &amp;grad_req_type, const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;aux_states, <a class="el" href="classmxnet_1_1Executor.html">Executor</a> *shared_exec=nullptr)</td></tr>
<tr class="memdesc:ad4c72f642143d2eb264f29c1e28bab59"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create an operator by bind symbol with context and arguments. If user do not want to compute the gradients of i-th argument, grad_req_type[i] can be kNullOp. <a href="classmxnet_1_1Executor.html#ad4c72f642143d2eb264f29c1e28bab59">More...</a><br /></td></tr>
<tr class="separator:ad4c72f642143d2eb264f29c1e28bab59"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad617d39640a88759f84d47f093dd7ffa"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classmxnet_1_1Executor.html">Executor</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1Executor.html#ad617d39640a88759f84d47f093dd7ffa">SimpleBind</a> (<a class="el" href="classnnvm_1_1Symbol.html">nnvm::Symbol</a> symbol, const <a class="el" href="structmxnet_1_1Context.html">Context</a> &amp;default_ctx, const std::map&lt; std::string, <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;group2ctx, const std::vector&lt; <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;in_arg_ctxes, const std::vector&lt; <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;arg_grad_ctxes, const std::vector&lt; <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;aux_state_ctxes, const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &gt; &amp;arg_shape_map, const std::unordered_map&lt; std::string, int &gt; &amp;arg_dtype_map, const std::unordered_map&lt; std::string, int &gt; &amp;arg_stype_map, const std::vector&lt; <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> &gt; &amp;grad_req_types, const std::unordered_set&lt; std::string &gt; &amp;param_names, std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *in_args, std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *arg_grads, std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *aux_states, std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *shared_data_arrays=nullptr, <a class="el" href="classmxnet_1_1Executor.html">Executor</a> *shared_exec=nullptr)</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p><a class="el" href="classmxnet_1_1Executor.html" title="Executor of a computation graph. Executor can be created by Binding a symbol.">Executor</a> of a computation graph. <a class="el" href="classmxnet_1_1Executor.html" title="Executor of a computation graph. Executor can be created by Binding a symbol.">Executor</a> can be created by Binding a symbol. </p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
<a id="a5684c74daafc9b80681cde6a9b7b4587"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5684c74daafc9b80681cde6a9b7b4587">&#9670;&nbsp;</a></span>MonitorCallback</h2>
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<td class="memname">typedef std::function&lt;void(const char*, void*)&gt; <a class="el" href="classmxnet_1_1Executor.html#a5684c74daafc9b80681cde6a9b7b4587">mxnet::Executor::MonitorCallback</a></td>
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<p>the prototype of user-defined monitor callback </p>
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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#adf445ff665c954061889d6bbee3c1c2a">&#9670;&nbsp;</a></span>~Executor()</h2>
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<td class="memname">virtual mxnet::Executor::~Executor </td>
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<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span> </td>
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<p>destructor </p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a84552a918a65633678f30c00a2a0ae7f">&#9670;&nbsp;</a></span>arg_grad_map()</h2>
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<td class="memname">virtual const std::unordered_map&lt;std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a>&gt;&amp; mxnet::Executor::arg_grad_map </td>
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<p>get input argument graident map, key is arg name, value is gradient's <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a>. </p>
<dl class="section return"><dt>Returns</dt><dd>input argument gradient map in the executor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a0a38a98fc4dcddc4205b5980ee7bdc4b">&#9670;&nbsp;</a></span>aux_state_map()</h2>
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<td class="memname">virtual const std::unordered_map&lt;std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a>&gt;&amp; mxnet::Executor::aux_state_map </td>
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<p>get aux state map, key is arg name, value is aux state's <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a>. </p>
<dl class="section return"><dt>Returns</dt><dd>aux state map in the executor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#aa2fd32510a718aff38323e63be0d65e3">&#9670;&nbsp;</a></span>Backward()</h2>
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<td class="memname">virtual void mxnet::Executor::Backward </td>
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<td class="paramtype">const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>head_grads</em>, </td>
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<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>is_train</em> = <code>true</code>&#160;</td>
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<p>Perform a Backward operation of the <a class="el" href="classmxnet_1_1Operator.html" title="Operator interface. Operator defines basic operation unit of optimized computation graph in mxnet....">Operator</a>. This must be called after Forward. After this operation, NDArrays specified by grad_in_args_store will be updated accordingly. User is allowed to pass in an empty <a class="el" href="classmxnet_1_1Array.html" title="Array container of NodeRef in DSL graph. Array implements copy on write semantics,...">Array</a> if the head node is loss function and head gradeitn is not needed. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">head_grads</td><td>the gradient of head nodes to be backproped. </td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#ad4c72f642143d2eb264f29c1e28bab59">&#9670;&nbsp;</a></span>Bind()</h2>
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<td class="memname">static <a class="el" href="classmxnet_1_1Executor.html">Executor</a>* mxnet::Executor::Bind </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classnnvm_1_1Symbol.html">nnvm::Symbol</a>&#160;</td>
<td class="paramname"><em>symbol</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="structmxnet_1_1Context.html">Context</a> &amp;&#160;</td>
<td class="paramname"><em>default_ctx</em>, </td>
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<td class="paramtype">const std::map&lt; std::string, <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>group2ctx</em>, </td>
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<td class="paramtype">const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>in_args</em>, </td>
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<td class="paramtype">const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>arg_grad_store</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector&lt; <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>grad_req_type</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>aux_states</em>, </td>
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<td class="paramtype"><a class="el" href="classmxnet_1_1Executor.html">Executor</a> *&#160;</td>
<td class="paramname"><em>shared_exec</em> = <code>nullptr</code>&#160;</td>
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<p>Create an operator by bind symbol with context and arguments. If user do not want to compute the gradients of i-th argument, grad_req_type[i] can be kNullOp. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">default_ctx</td><td>the default context of binding. </td></tr>
<tr><td class="paramname">group2ctx</td><td><a class="el" href="structmxnet_1_1Context.html" title="Context information about the execution environment.">Context</a> mapping group to context. </td></tr>
<tr><td class="paramname">symbol</td><td>the symbol that specifies the output of Forward pass. </td></tr>
<tr><td class="paramname">in_args</td><td>the <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a> that stores the input arguments to the symbol. </td></tr>
<tr><td class="paramname">arg_grad_store</td><td><a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a> that is used to store the gradient output of the input arguments. </td></tr>
<tr><td class="paramname">grad_req_type</td><td>requirment type of gradient saving. Can only be in {kNullOp, kAddTo, kWriteTo}. </td></tr>
<tr><td class="paramname">aux_states</td><td><a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a> that is used as internal state in op </td></tr>
<tr><td class="paramname">shared_exec</td><td>input executor to share memory with. </td></tr>
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<dl class="section return"><dt>Returns</dt><dd>a new executor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#ab3716be8e6c265b091e618f46eeb6f9b">&#9670;&nbsp;</a></span>Forward()</h2>
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<td class="memname">virtual void mxnet::Executor::Forward </td>
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<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>is_train</em></td><td>)</td>
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<p>Perform a Forward operation of <a class="el" href="classmxnet_1_1Operator.html" title="Operator interface. Operator defines basic operation unit of optimized computation graph in mxnet....">Operator</a> After this operation, user can get the result by using function head. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a07a3e917596ed08718ee2859283c2476">&#9670;&nbsp;</a></span>in_arg_map()</h2>
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<td class="memname">virtual const std::unordered_map&lt;std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a>&gt;&amp; mxnet::Executor::in_arg_map </td>
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<p>get input argument map, key is arg name, value is arg's <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a>. </p>
<dl class="section return"><dt>Returns</dt><dd>input argument map in the executor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a16d0f1ab276e32242685702aa10b9a3d">&#9670;&nbsp;</a></span>outputs()</h2>
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<td class="memname">virtual const std::vector&lt;<a class="el" href="classmxnet_1_1NDArray.html">NDArray</a>&gt;&amp; mxnet::Executor::outputs </td>
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<p>get array of outputs in the executor. </p>
<dl class="section return"><dt>Returns</dt><dd>array of outputs in the executor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a3e261d44065848e434c527000d4390c8">&#9670;&nbsp;</a></span>PartialForward()</h2>
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<td class="memname">virtual void mxnet::Executor::PartialForward </td>
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<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>is_train</em>, </td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>step</em>, </td>
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<td class="paramtype">int *&#160;</td>
<td class="paramname"><em>step_left</em>&#160;</td>
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<p>Perform a Partial Forward operation of <a class="el" href="classmxnet_1_1Operator.html" title="Operator interface. Operator defines basic operation unit of optimized computation graph in mxnet....">Operator</a>. Only issue operation specified by step. The caller must keep calling PartialForward with increasing steps, until step_left=0. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">is_train</td><td>Whether this is training phase. </td></tr>
<tr><td class="paramname">step</td><td>current step, user can always start from 0 </td></tr>
<tr><td class="paramname">step_left</td><td>Number of steps left to finish the forward. </td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#ac391ee6cf8cf8afb60acd0480db2ae86">&#9670;&nbsp;</a></span>Print()</h2>
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<td class="memname">virtual void mxnet::Executor::Print </td>
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<td class="paramtype">std::ostream &amp;&#160;</td>
<td class="paramname"><em>os</em></td><td>)</td>
<td> const</td>
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<p>print the execution plan info to output stream. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">os</td><td>the output stream we like to print to. </td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#a14a0c3efb6f8a7b5335854f0a8c08013">&#9670;&nbsp;</a></span>Reshape()</h2>
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<td class="memname">virtual <a class="el" href="classmxnet_1_1Executor.html">Executor</a>* mxnet::Executor::Reshape </td>
<td>(</td>
<td class="paramtype">const bool&#160;</td>
<td class="paramname"><em>partial_shaping</em>, </td>
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<td class="paramtype">const bool&#160;</td>
<td class="paramname"><em>allow_up_sizing</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="structmxnet_1_1Context.html">Context</a> &amp;&#160;</td>
<td class="paramname"><em>default_ctx</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const std::map&lt; std::string, <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>ctx_map</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>provided_arg_shapes</em>, </td>
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<td class="paramtype">std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>in_args</em>, </td>
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<td class="paramtype">std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>arg_grads</em>, </td>
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<td></td>
<td class="paramtype">std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>aux_states</em>&#160;</td>
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<p>Return a new executor with the same symbol and shared memory, but different input/output shapes. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">partial_shaping</td><td>Whether to allow changing the shape of unspecified arguments. </td></tr>
<tr><td class="paramname">allow_up_sizing</td><td>Whether to allow allocating new ndarrays that's larger than the original. </td></tr>
<tr><td class="paramname">default_ctx</td><td>the default context of binding. </td></tr>
<tr><td class="paramname">ctx_map</td><td><a class="el" href="structmxnet_1_1Context.html" title="Context information about the execution environment.">Context</a> mapping group to context. </td></tr>
<tr><td class="paramname">provided_arg_shapes</td><td>New shape for arguments. </td></tr>
<tr><td class="paramname">in_args</td><td>the <a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a> that stores the input arguments. </td></tr>
<tr><td class="paramname">arg_grads</td><td><a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a> that is used to store the gradient output of the input arguments. </td></tr>
<tr><td class="paramname">aux_states</td><td><a class="el" href="classmxnet_1_1NDArray.html" title="ndarray interface">NDArray</a> that is used as internal states. </td></tr>
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<dl class="section return"><dt>Returns</dt><dd>a new executor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a11d863ca81fad9d55112b77e5aaf388c">&#9670;&nbsp;</a></span>SetMonitorCallback()</h2>
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<td class="memname">virtual void mxnet::Executor::SetMonitorCallback </td>
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<td class="paramtype">const <a class="el" href="classmxnet_1_1Executor.html#a5684c74daafc9b80681cde6a9b7b4587">MonitorCallback</a> &amp;&#160;</td>
<td class="paramname"><em>callback</em>, </td>
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<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>monitor_all</em> = <code>false</code>&#160;</td>
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<p>Install a callback to notify the completion of operation. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#ad617d39640a88759f84d47f093dd7ffa">&#9670;&nbsp;</a></span>SimpleBind()</h2>
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<td class="memname">static <a class="el" href="classmxnet_1_1Executor.html">Executor</a>* mxnet::Executor::SimpleBind </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classnnvm_1_1Symbol.html">nnvm::Symbol</a>&#160;</td>
<td class="paramname"><em>symbol</em>, </td>
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<td></td>
<td class="paramtype">const <a class="el" href="structmxnet_1_1Context.html">Context</a> &amp;&#160;</td>
<td class="paramname"><em>default_ctx</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::map&lt; std::string, <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>group2ctx</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector&lt; <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>in_arg_ctxes</em>, </td>
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<td></td>
<td class="paramtype">const std::vector&lt; <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>arg_grad_ctxes</em>, </td>
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<td></td>
<td class="paramtype">const std::vector&lt; <a class="el" href="structmxnet_1_1Context.html">Context</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>aux_state_ctxes</em>, </td>
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<td class="paramtype">const std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>arg_shape_map</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::unordered_map&lt; std::string, int &gt; &amp;&#160;</td>
<td class="paramname"><em>arg_dtype_map</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::unordered_map&lt; std::string, int &gt; &amp;&#160;</td>
<td class="paramname"><em>arg_stype_map</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector&lt; <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> &gt; &amp;&#160;</td>
<td class="paramname"><em>grad_req_types</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::unordered_set&lt; std::string &gt; &amp;&#160;</td>
<td class="paramname"><em>param_names</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>in_args</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>arg_grads</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::vector&lt; <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>aux_states</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">std::unordered_map&lt; std::string, <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a> &gt; *&#160;</td>
<td class="paramname"><em>shared_data_arrays</em> = <code>nullptr</code>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classmxnet_1_1Executor.html">Executor</a> *&#160;</td>
<td class="paramname"><em>shared_exec</em> = <code>nullptr</code>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</td>
<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span> </td>
</tr>
</table>
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</div>
</div>
<hr/>The documentation for this class was generated from the following file:<ul>
<li>/work/mxnet/include/mxnet/<a class="el" href="include_2mxnet_2executor_8h_source.html">executor.h</a></li>
</ul>
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