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<li class="navelem"><a class="el" href="namespacemxnet.html">mxnet</a></li><li class="navelem"><a class="el" href="namespacemxnet_1_1op.html">op</a></li> </ul>
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<div class="title">mxnet::op Namespace Reference</div> </div>
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<p>namespace of arguments
<a href="#details">More...</a></p>
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Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Environment arguments that is used by the function. These can be things like scalar arguments when add a value with scalar. <a href="structmxnet_1_1op_1_1EnvArguments.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmxnet_1_1op_1_1GradFunctionArgument.html">GradFunctionArgument</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">super class of all gradient function argument <a href="structmxnet_1_1op_1_1GradFunctionArgument.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmxnet_1_1op_1_1Input0.html">Input0</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">First input to the function. <a href="structmxnet_1_1op_1_1Input0.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmxnet_1_1op_1_1Input1.html">Input1</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Second input to the function. <a href="structmxnet_1_1op_1_1Input1.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gradient of output value. <a href="structmxnet_1_1op_1_1OutputGrad.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmxnet_1_1op_1_1OutputValue.html">OutputValue</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ouput value of the function to the function. <a href="structmxnet_1_1op_1_1OutputValue.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1op_1_1SimpleOpRegEntry.html">SimpleOpRegEntry</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">registry entry to register simple operators via functions. <a href="classmxnet_1_1op_1_1SimpleOpRegEntry.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1op_1_1SimpleOpRegistry.html">SimpleOpRegistry</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">registry for <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> functions <a href="classmxnet_1_1op_1_1SimpleOpRegistry.html#details">More...</a><br /></td></tr>
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Typedefs</h2></td></tr>
<tr class="memitem:a65e8bade5ae0539689b705b921ed9a9d"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a65e8bade5ae0539689b705b921ed9a9d">SourceFunction</a>) (const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *ret, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:a65e8bade5ae0539689b705b921ed9a9d"><td class="mdescLeft">&#160;</td><td class="mdescRight">source function that generate output based on env The result container is pre-allocated with the correct shape. <a href="#a65e8bade5ae0539689b705b921ed9a9d">More...</a><br /></td></tr>
<tr class="separator:a65e8bade5ae0539689b705b921ed9a9d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa4ae310a00e36e5bfa260fc65205395e"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#aa4ae310a00e36e5bfa260fc65205395e">SourceShapeFunction</a>) (const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env)</td></tr>
<tr class="memdesc:aa4ae310a00e36e5bfa260fc65205395e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape inference function to get the correct shape. <a href="#aa4ae310a00e36e5bfa260fc65205395e">More...</a><br /></td></tr>
<tr class="separator:aa4ae310a00e36e5bfa260fc65205395e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa37d5216112b72e8110fc8654860910b"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#aa37d5216112b72e8110fc8654860910b">UnaryFunction</a>) (const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;src, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *ret, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:aa37d5216112b72e8110fc8654860910b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Unary function that takes a src and save result to ret. The result container is pre-allocated with the correct shape. <a href="#aa37d5216112b72e8110fc8654860910b">More...</a><br /></td></tr>
<tr class="separator:aa37d5216112b72e8110fc8654860910b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa97f14f8f0d4f6e57f792ad14f967fef"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#aa97f14f8f0d4f6e57f792ad14f967fef">UnaryShapeFunction</a>) (const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;src, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env)</td></tr>
<tr class="memdesc:aa97f14f8f0d4f6e57f792ad14f967fef"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape inference function to get the correct shape given source. <a href="#aa97f14f8f0d4f6e57f792ad14f967fef">More...</a><br /></td></tr>
<tr class="separator:aa97f14f8f0d4f6e57f792ad14f967fef"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1e5767bffea568a1c38379060cbb68b4"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a1e5767bffea568a1c38379060cbb68b4">UnaryGradFunctionT0</a>) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *in_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:a1e5767bffea568a1c38379060cbb68b4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gradient function that takes output value of function and computes gradient wrt to input. <a href="#a1e5767bffea568a1c38379060cbb68b4">More...</a><br /></td></tr>
<tr class="separator:a1e5767bffea568a1c38379060cbb68b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6ad11641816278f8fdb6fe87c7fd3740"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a6ad11641816278f8fdb6fe87c7fd3740">UnaryGradFunctionT1</a>) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1OutputValue.html">OutputValue</a> &amp;out_value, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *in_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:a6ad11641816278f8fdb6fe87c7fd3740"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gradient function that takes output value of function and computes gradient wrt to input. <a href="#a6ad11641816278f8fdb6fe87c7fd3740">More...</a><br /></td></tr>
<tr class="separator:a6ad11641816278f8fdb6fe87c7fd3740"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac29102128f7e7785493bbb5b7db80997"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#ac29102128f7e7785493bbb5b7db80997">UnaryGradFunctionT2</a>) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1Input0.html">Input0</a> &amp;in_data0, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *in_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:ac29102128f7e7785493bbb5b7db80997"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gradient function that takes input value of function and computes gradient wrt to input. <a href="#ac29102128f7e7785493bbb5b7db80997">More...</a><br /></td></tr>
<tr class="separator:ac29102128f7e7785493bbb5b7db80997"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a880eff3ebc68810ef133a6d8b77facc9"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a880eff3ebc68810ef133a6d8b77facc9">BinaryFunction</a>) (const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;lhs, const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;rhs, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *ret, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:a880eff3ebc68810ef133a6d8b77facc9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Binary function that takes lhs, rhs and save result to ret. The result container is pre-allocated with the correct shape. <a href="#a880eff3ebc68810ef133a6d8b77facc9">More...</a><br /></td></tr>
<tr class="separator:a880eff3ebc68810ef133a6d8b77facc9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8973cbc1527a6c57c6e19c9f1ed82075"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a8973cbc1527a6c57c6e19c9f1ed82075">BinaryShapeFunction</a>) (const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;lhs, const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;rhs, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env)</td></tr>
<tr class="memdesc:a8973cbc1527a6c57c6e19c9f1ed82075"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape inference function to get the correct shape given source shapes. <a href="#a8973cbc1527a6c57c6e19c9f1ed82075">More...</a><br /></td></tr>
<tr class="separator:a8973cbc1527a6c57c6e19c9f1ed82075"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abcef841f759a7874ef50f21ae0226c8a"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#abcef841f759a7874ef50f21ae0226c8a">BinaryGradFunctionT0</a>) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *lhs_grad, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *rhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_lhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_rhs_grad, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:abcef841f759a7874ef50f21ae0226c8a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gradient function that takes only output gradient and computes gradient wrt to input. We support total gradient as a whole to make it easy to combine a few ops. <a href="#abcef841f759a7874ef50f21ae0226c8a">More...</a><br /></td></tr>
<tr class="separator:abcef841f759a7874ef50f21ae0226c8a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a027d1f190d964f7494816733aff6c3f2"><td class="memItemLeft" align="right" valign="top">typedef void(*&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a027d1f190d964f7494816733aff6c3f2">BinaryGradFunctionT1</a>) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1Input0.html">Input0</a> &amp;lhs, const <a class="el" href="structmxnet_1_1op_1_1Input1.html">Input1</a> &amp;rhs, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *lhs_grad, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *rhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_lhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_rhs_grad, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td></tr>
<tr class="memdesc:a027d1f190d964f7494816733aff6c3f2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gradient function that takes inputs of function anod computes gradient wrt to input. <a href="#a027d1f190d964f7494816733aff6c3f2">More...</a><br /></td></tr>
<tr class="separator:a027d1f190d964f7494816733aff6c3f2"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a>
Enumerations</h2></td></tr>
<tr class="memitem:a3c3b8c77865c7c715cfe05ee2b2fa8da"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8da">SimpleOpInplaceOption</a> { <br />
&#160;&#160;<a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8daa048c01bf1598f31850baeb2152b005a2">kNoInplace</a>,
<a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8daa2c7771fd11a989ca2480963611405bde">kInplaceInOut</a>,
<a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8daab7974a6a3982dae42ba00af90dcabd80">kInplaceOutIn</a>,
<a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8daa31a764e0ff5966a10e26f7fbff308c18">kInplaceLhsOut</a>,
<br />
&#160;&#160;<a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8daa01a199e9f1e7d97724be8aa618d5a3d4">kInplaceOutLhs</a>
<br />
}<tr class="memdesc:a3c3b8c77865c7c715cfe05ee2b2fa8da"><td class="mdescLeft">&#160;</td><td class="mdescRight">options in the registry to set inplace of operator <a href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8da">More...</a><br /></td></tr>
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<tr class="separator:a3c3b8c77865c7c715cfe05ee2b2fa8da"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae7310844fa858f1ec6b6428dd6977a13"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#ae7310844fa858f1ec6b6428dd6977a13">SimpleOpScalarOption</a> { <a class="el" href="namespacemxnet_1_1op.html#ae7310844fa858f1ec6b6428dd6977a13a44de4ba9d059034c023bc755cdc6026a">kScalarBeforeArray</a>,
<a class="el" href="namespacemxnet_1_1op.html#ae7310844fa858f1ec6b6428dd6977a13aa4cab4197f615e92b1fdb61c51e1b9c7">kArrayBeforeScalar</a>
}<tr class="memdesc:ae7310844fa858f1ec6b6428dd6977a13"><td class="mdescLeft">&#160;</td><td class="mdescRight">options in the registry to set symbolic registration <a href="namespacemxnet_1_1op.html#ae7310844fa858f1ec6b6428dd6977a13">More...</a><br /></td></tr>
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<tr class="separator:ae7310844fa858f1ec6b6428dd6977a13"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a01bb0bb658bedb4d58bf7d11e4b17268"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemxnet_1_1op.html#a01bb0bb658bedb4d58bf7d11e4b17268">SimpleOpRegOption</a> { <a class="el" href="namespacemxnet_1_1op.html#a01bb0bb658bedb4d58bf7d11e4b17268a929ea2e4ea4bffd5119a8bbf296e616b">kNotRegisterSymbolic</a>,
<a class="el" href="namespacemxnet_1_1op.html#a01bb0bb658bedb4d58bf7d11e4b17268a534486ab7c3f672542bfa09b7b6982d1">kRegisterSymbolic</a>
}<tr class="memdesc:a01bb0bb658bedb4d58bf7d11e4b17268"><td class="mdescLeft">&#160;</td><td class="mdescRight">options in the registry to set symbolic registration <a href="namespacemxnet_1_1op.html#a01bb0bb658bedb4d58bf7d11e4b17268">More...</a><br /></td></tr>
</td></tr>
<tr class="separator:a01bb0bb658bedb4d58bf7d11e4b17268"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>namespace of arguments </p>
</div><h2 class="groupheader">Typedef Documentation</h2>
<a id="a880eff3ebc68810ef133a6d8b77facc9"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a880eff3ebc68810ef133a6d8b77facc9">&#9670;&nbsp;</a></span>BinaryFunction</h2>
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<td class="memname">typedef void(* mxnet::op::BinaryFunction) (const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;lhs, const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;rhs, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *ret, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Binary function that takes lhs, rhs and save result to ret. The result container is pre-allocated with the correct shape. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">lhs</td><td>The left operand </td></tr>
<tr><td class="paramname">rhs</td><td>The right operand </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">ret</td><td>The containter to store return value. </td></tr>
<tr><td class="paramname">req</td><td>The requirement to stroe the ret. </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
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</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#abcef841f759a7874ef50f21ae0226c8a">&#9670;&nbsp;</a></span>BinaryGradFunctionT0</h2>
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<td class="memname">typedef void(* mxnet::op::BinaryGradFunctionT0) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *lhs_grad, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *rhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_lhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_rhs_grad, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Gradient function that takes only output gradient and computes gradient wrt to input. We support total gradient as a whole to make it easy to combine a few ops. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">out_grad</td><td>the gradient wrt to output of the function. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">lhs_grad</td><td>The container to store result of lhs gradient. </td></tr>
<tr><td class="paramname">rhs_grad</td><td>The container to store result of lhs gradient. </td></tr>
<tr><td class="paramname">req_lhs_grad</td><td>The requirement to store the lhs_grad </td></tr>
<tr><td class="paramname">req_rhs_grad</td><td>The requirement to store the rhs_grad </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a027d1f190d964f7494816733aff6c3f2">&#9670;&nbsp;</a></span>BinaryGradFunctionT1</h2>
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<td class="memname">typedef void(* mxnet::op::BinaryGradFunctionT1) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1Input0.html">Input0</a> &amp;lhs, const <a class="el" href="structmxnet_1_1op_1_1Input1.html">Input1</a> &amp;rhs, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *lhs_grad, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *rhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_lhs_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req_rhs_grad, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Gradient function that takes inputs of function anod computes gradient wrt to input. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">out_grad</td><td>the gradient wrt to output of the function. </td></tr>
<tr><td class="paramname">lhs</td><td>The left operand to the function. </td></tr>
<tr><td class="paramname">rhs</td><td>The right operand to the function. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">lhs_grad</td><td>The container to store result of lhs gradient. </td></tr>
<tr><td class="paramname">rhs_grad</td><td>The container to store result of lhs gradient. </td></tr>
<tr><td class="paramname">req_lhs_grad</td><td>The requirement to store the lhs_grad </td></tr>
<tr><td class="paramname">req_rhs_grad</td><td>The requirement to store the rhs_grad </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<a id="a8973cbc1527a6c57c6e19c9f1ed82075"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a8973cbc1527a6c57c6e19c9f1ed82075">&#9670;&nbsp;</a></span>BinaryShapeFunction</h2>
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<td class="memname">typedef <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(* mxnet::op::BinaryShapeFunction) (const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;lhs, const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;rhs, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env)</td>
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<p>Shape inference function to get the correct shape given source shapes. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">lhs</td><td>The shape of left operand. </td></tr>
<tr><td class="paramname">rhs</td><td>The shape of right operand. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The inferred result shape. </dd></dl>
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<a id="a65e8bade5ae0539689b705b921ed9a9d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a65e8bade5ae0539689b705b921ed9a9d">&#9670;&nbsp;</a></span>SourceFunction</h2>
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<td class="memname">typedef void(* mxnet::op::SourceFunction) (const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *ret, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>source function that generate output based on env The result container is pre-allocated with the correct shape. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">ret</td><td>The containter to store return value. </td></tr>
<tr><td class="paramname">req</td><td>The requirement to stroe the ret. </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#aa4ae310a00e36e5bfa260fc65205395e">&#9670;&nbsp;</a></span>SourceShapeFunction</h2>
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<td class="memname">typedef <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(* mxnet::op::SourceShapeFunction) (const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env)</td>
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<p>Shape inference function to get the correct shape. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The inferred result shape. </dd></dl>
</div>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#aa37d5216112b72e8110fc8654860910b">&#9670;&nbsp;</a></span>UnaryFunction</h2>
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<td class="memname">typedef void(* mxnet::op::UnaryFunction) (const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;src, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *ret, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Unary function that takes a src and save result to ret. The result container is pre-allocated with the correct shape. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">src</td><td>The source data. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">ret</td><td>The containter to store return value. </td></tr>
<tr><td class="paramname">req</td><td>The requirement to stroe the ret. </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a1e5767bffea568a1c38379060cbb68b4">&#9670;&nbsp;</a></span>UnaryGradFunctionT0</h2>
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<td class="memname">typedef void(* mxnet::op::UnaryGradFunctionT0) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *in_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Gradient function that takes output value of function and computes gradient wrt to input. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">out_grad</td><td>the gradient wrt to output of the function. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">in_grad</td><td>The container to store result input gradient. </td></tr>
<tr><td class="paramname">req</td><td>The requirement to store the ret value. </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<a id="a6ad11641816278f8fdb6fe87c7fd3740"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6ad11641816278f8fdb6fe87c7fd3740">&#9670;&nbsp;</a></span>UnaryGradFunctionT1</h2>
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<td class="memname">typedef void(* mxnet::op::UnaryGradFunctionT1) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1OutputValue.html">OutputValue</a> &amp;out_value, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *in_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Gradient function that takes output value of function and computes gradient wrt to input. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">out_grad</td><td>the gradient wrt to output of the function. </td></tr>
<tr><td class="paramname">out_value</td><td>the value of the function. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">in_grad</td><td>The container to store result input gradient. </td></tr>
<tr><td class="paramname">req</td><td>The requirement to store the ret value. </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#ac29102128f7e7785493bbb5b7db80997">&#9670;&nbsp;</a></span>UnaryGradFunctionT2</h2>
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<td class="memname">typedef void(* mxnet::op::UnaryGradFunctionT2) (const <a class="el" href="structmxnet_1_1op_1_1OutputGrad.html">OutputGrad</a> &amp;out_grad, const <a class="el" href="structmxnet_1_1op_1_1Input0.html">Input0</a> &amp;in_data0, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env, <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> *in_grad, <a class="el" href="namespacemxnet.html#a7cd7094ef222e9ae1f520c3b6a214398">OpReqType</a> req, <a class="el" href="structmxnet_1_1RunContext.html">RunContext</a> ctx)</td>
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<p>Gradient function that takes input value of function and computes gradient wrt to input. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">out_grad</td><td>the gradient wrt to output of the function. </td></tr>
<tr><td class="paramname">in_data0</td><td>the input value of the function. </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
<tr><td class="paramname">in_grad</td><td>The container to store result input gradient. </td></tr>
<tr><td class="paramname">req</td><td>The requirement to store the ret value. </td></tr>
<tr><td class="paramname">ctx</td><td>Runtime context to execute the function. </td></tr>
</table>
</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#aa97f14f8f0d4f6e57f792ad14f967fef">&#9670;&nbsp;</a></span>UnaryShapeFunction</h2>
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<td class="memname">typedef <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>(* mxnet::op::UnaryShapeFunction) (const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;src, const <a class="el" href="structmxnet_1_1op_1_1EnvArguments.html">EnvArguments</a> &amp;env)</td>
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<p>Shape inference function to get the correct shape given source. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">src</td><td>The source shape </td></tr>
<tr><td class="paramname">env</td><td>The Environment arguments. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The inferred result shape. </dd></dl>
</div>
</div>
<h2 class="groupheader">Enumeration Type Documentation</h2>
<a id="a3c3b8c77865c7c715cfe05ee2b2fa8da"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3c3b8c77865c7c715cfe05ee2b2fa8da">&#9670;&nbsp;</a></span>SimpleOpInplaceOption</h2>
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<td class="memname">enum <a class="el" href="namespacemxnet_1_1op.html#a3c3b8c77865c7c715cfe05ee2b2fa8da">mxnet::op::SimpleOpInplaceOption</a></td>
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<p>options in the registry to set inplace of operator </p>
<table class="fieldtable">
<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="a3c3b8c77865c7c715cfe05ee2b2fa8daa048c01bf1598f31850baeb2152b005a2"></a>kNoInplace&#160;</td><td class="fielddoc"><p>do not allow inplace in arguments </p>
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<tr><td class="fieldname"><a id="a3c3b8c77865c7c715cfe05ee2b2fa8daa2c7771fd11a989ca2480963611405bde"></a>kInplaceInOut&#160;</td><td class="fielddoc"><p>in unary forward, allow inplace in with out </p>
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<tr><td class="fieldname"><a id="a3c3b8c77865c7c715cfe05ee2b2fa8daab7974a6a3982dae42ba00af90dcabd80"></a>kInplaceOutIn&#160;</td><td class="fielddoc"><p>in unary backward, allow inplace out_grad with in_grad </p>
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<tr><td class="fieldname"><a id="a3c3b8c77865c7c715cfe05ee2b2fa8daa31a764e0ff5966a10e26f7fbff308c18"></a>kInplaceLhsOut&#160;</td><td class="fielddoc"><p>in binary forward, allow inplace left operand with out </p>
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<tr><td class="fieldname"><a id="a3c3b8c77865c7c715cfe05ee2b2fa8daa01a199e9f1e7d97724be8aa618d5a3d4"></a>kInplaceOutLhs&#160;</td><td class="fielddoc"><p>in binary backward, allow inplace out_grad with lhs_grad </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a01bb0bb658bedb4d58bf7d11e4b17268">&#9670;&nbsp;</a></span>SimpleOpRegOption</h2>
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<td class="memname">enum <a class="el" href="namespacemxnet_1_1op.html#a01bb0bb658bedb4d58bf7d11e4b17268">mxnet::op::SimpleOpRegOption</a></td>
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<p>options in the registry to set symbolic registration </p>
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<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="a01bb0bb658bedb4d58bf7d11e4b17268a929ea2e4ea4bffd5119a8bbf296e616b"></a>kNotRegisterSymbolic&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a01bb0bb658bedb4d58bf7d11e4b17268a534486ab7c3f672542bfa09b7b6982d1"></a>kRegisterSymbolic&#160;</td><td class="fielddoc"></td></tr>
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<a id="ae7310844fa858f1ec6b6428dd6977a13"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae7310844fa858f1ec6b6428dd6977a13">&#9670;&nbsp;</a></span>SimpleOpScalarOption</h2>
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<td class="memname">enum <a class="el" href="namespacemxnet_1_1op.html#ae7310844fa858f1ec6b6428dd6977a13">mxnet::op::SimpleOpScalarOption</a></td>
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<p>options in the registry to set symbolic registration </p>
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<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="ae7310844fa858f1ec6b6428dd6977a13a44de4ba9d059034c023bc755cdc6026a"></a>kScalarBeforeArray&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae7310844fa858f1ec6b6428dd6977a13aa4cab4197f615e92b1fdb61c51e1b9c7"></a>kArrayBeforeScalar&#160;</td><td class="fielddoc"></td></tr>
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