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<a href="#pub-attribs">Public Attributes</a> &#124;
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<div class="title">dnnl_batch_normalization_desc_t Struct Reference<div class="ingroups"><a class="el" href="group__dnnl__api.html">Dnnl_api</a> &raquo; <a class="el" href="group__dnnl__api__primitives.html">Dnnl_api_primitives</a> &raquo; <a class="el" href="group__dnnl__api__batch__normalization.html">Dnnl_api_batch_normalization</a></div></div> </div>
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<p>A descriptor of a Batch Normalization operation.
<a href="structdnnl__batch__normalization__desc__t.html#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="oneapi_2dnnl_2dnnl__types_8h_source.html">dnnl_types.h</a>&gt;</code></p>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:a9418b8e53dc1201d1f06cdf0152afe27"><td class="memItemLeft" align="right" valign="top"><a class="el" href="group__dnnl__api__primitives__common.html#ga9878f4795e53ad8443e5c0a29e53286a">dnnl_primitive_kind_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a9418b8e53dc1201d1f06cdf0152afe27">primitive_kind</a></td></tr>
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<tr class="memitem:a0f6463524bea1389a89ff67accd07d68"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a0f6463524bea1389a89ff67accd07d68">data_desc</a></td></tr>
<tr class="memdesc:a0f6463524bea1389a89ff67accd07d68"><td class="mdescLeft">&#160;</td><td class="mdescRight">Source and destination memory descriptor. <a href="#a0f6463524bea1389a89ff67accd07d68">More...</a><br /></td></tr>
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<tr class="memitem:a7aec0325ac47e3327aa506e2f7636c8f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a7aec0325ac47e3327aa506e2f7636c8f">diff_data_desc</a></td></tr>
<tr class="memdesc:a7aec0325ac47e3327aa506e2f7636c8f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Source and destination gradient memory descriptor. <a href="#a7aec0325ac47e3327aa506e2f7636c8f">More...</a><br /></td></tr>
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<tr class="memitem:a452eaa4f7413e5638c814304ee8819bc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a452eaa4f7413e5638c814304ee8819bc">data_scaleshift_desc</a></td></tr>
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<tr class="memitem:a88eda79577973d4e80aa123dab5723c6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a88eda79577973d4e80aa123dab5723c6">diff_data_scaleshift_desc</a></td></tr>
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<tr class="memitem:a5e779c209cd4296445ce2be9b6d5fbb8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a5e779c209cd4296445ce2be9b6d5fbb8">stat_desc</a></td></tr>
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<tr class="memitem:ab2508100481c6a19566f122198294e55"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#ab2508100481c6a19566f122198294e55">batch_norm_epsilon</a></td></tr>
<tr class="memdesc:ab2508100481c6a19566f122198294e55"><td class="mdescLeft">&#160;</td><td class="mdescRight">Batch normalization epsilon parameter. <a href="#ab2508100481c6a19566f122198294e55">More...</a><br /></td></tr>
<tr class="separator:ab2508100481c6a19566f122198294e55"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6776a23c3a63580e4524994c68654d78"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structdnnl__batch__normalization__desc__t.html#a6776a23c3a63580e4524994c68654d78">flags</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>A descriptor of a Batch Normalization operation. </p>
</div><h2 class="groupheader">Member Data Documentation</h2>
<a id="ab2508100481c6a19566f122198294e55"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab2508100481c6a19566f122198294e55">&#9670;&nbsp;</a></span>batch_norm_epsilon</h2>
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<td class="memname">float dnnl_batch_normalization_desc_t::batch_norm_epsilon</td>
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<p>Batch normalization epsilon parameter. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0f6463524bea1389a89ff67accd07d68">&#9670;&nbsp;</a></span>data_desc</h2>
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<td class="memname"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a> dnnl_batch_normalization_desc_t::data_desc</td>
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<p>Source and destination memory descriptor. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a452eaa4f7413e5638c814304ee8819bc">&#9670;&nbsp;</a></span>data_scaleshift_desc</h2>
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<td class="memname"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a> dnnl_batch_normalization_desc_t::data_scaleshift_desc</td>
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<p>Scale and shift data and gradient memory descriptors.</p>
<p>Scaleshift memory descriptor uses 2D <a class="el" href="group__dnnl__api__memory.html#gga395e42b594683adb25ed2d842bb3091dac08a541001fe70289305a5fbde48906d" title="2D CNN activations tensor, an alias to dnnl_ab ">dnnl_nc</a> format[2,Channels]. 1-st dimension contains gamma parameter, 2-nd dimension contains beta parameter. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a7aec0325ac47e3327aa506e2f7636c8f">&#9670;&nbsp;</a></span>diff_data_desc</h2>
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<td class="memname"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a> dnnl_batch_normalization_desc_t::diff_data_desc</td>
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<p>Source and destination gradient memory descriptor. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a88eda79577973d4e80aa123dab5723c6">&#9670;&nbsp;</a></span>diff_data_scaleshift_desc</h2>
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<td class="memname"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a> dnnl_batch_normalization_desc_t::diff_data_scaleshift_desc</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a6776a23c3a63580e4524994c68654d78">&#9670;&nbsp;</a></span>flags</h2>
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<td class="memname">unsigned dnnl_batch_normalization_desc_t::flags</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a9418b8e53dc1201d1f06cdf0152afe27">&#9670;&nbsp;</a></span>primitive_kind</h2>
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<td class="memname"><a class="el" href="group__dnnl__api__primitives__common.html#ga9878f4795e53ad8443e5c0a29e53286a">dnnl_primitive_kind_t</a> dnnl_batch_normalization_desc_t::primitive_kind</td>
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<p>The kind of primitive. Used for self-identifying the primitive descriptor. Must be <a class="el" href="group__dnnl__api__primitives__common.html#gga9878f4795e53ad8443e5c0a29e53286aa8483b015fd10c9832c6326a1c5b59ed5" title="A batch normalization primitive. ">dnnl_batch_normalization</a>. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a76acc806f760eea2589c375fdc8b80b1">&#9670;&nbsp;</a></span>prop_kind</h2>
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<td class="memname"><a class="el" href="group__dnnl__api__primitives__common.html#gae3c1f22ae55645782923fbfd8b07d0c4">dnnl_prop_kind_t</a> dnnl_batch_normalization_desc_t::prop_kind</td>
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<p>The kind of propagation. Possible values: <a class="el" href="group__dnnl__api__primitives__common.html#ggae3c1f22ae55645782923fbfd8b07d0c4a992e03bebfe623ac876b3636333bbce0">dnnl_forward_training</a>, <a class="el" href="group__dnnl__api__primitives__common.html#ggae3c1f22ae55645782923fbfd8b07d0c4a2f77a568a675dec649eb0450c997856d">dnnl_forward_inference</a>, <a class="el" href="group__dnnl__api__primitives__common.html#ggae3c1f22ae55645782923fbfd8b07d0c4a326a5e31769302972e7bded555e1cc10" title="Backward propagation (with respect to all parameters). ">dnnl_backward</a>, and <a class="el" href="group__dnnl__api__primitives__common.html#ggae3c1f22ae55645782923fbfd8b07d0c4a524dd6cb2ed9680bbd170ba15261d218" title="Backward data propagation. ">dnnl_backward_data</a>. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a5e779c209cd4296445ce2be9b6d5fbb8">&#9670;&nbsp;</a></span>stat_desc</h2>
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<td class="memname"><a class="el" href="structdnnl__memory__desc__t.html">dnnl_memory_desc_t</a> dnnl_batch_normalization_desc_t::stat_desc</td>
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<p>Statistics memory descriptor.</p>
<p>Statistics (mean or variance) descriptor use 1D <a class="el" href="group__dnnl__api__memory.html#gga395e42b594683adb25ed2d842bb3091da9ccb37bb1a788f0245efbffbaf81e145" title="1D tensor, an alias to dnnl_a ">dnnl_x</a> format[Channels]. </p>
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<hr/>The documentation for this struct was generated from the following file:<ul>
<li>/work/mxnet/include/mkldnn/oneapi/dnnl/<a class="el" href="oneapi_2dnnl_2dnnl__types_8h_source.html">dnnl_types.h</a></li>
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