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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmkldnn__blocking__desc__t.html">mkldnn_blocking_desc_t</a></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmkldnn__wino__desc__t.html">mkldnn_wino_desc_t</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Description of tensor of weights for winograd 2x3 convolution. <a href="structmkldnn__wino__desc__t.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmkldnn__rnn__packed__desc__t.html">mkldnn_rnn_packed_desc_t</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Description of tensor of packed weights for rnn. <a href="structmkldnn__rnn__packed__desc__t.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmkldnn__memory__extra__desc__t.html">mkldnn_memory_extra_desc_t</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Description of extra information stored in memory. <a href="structmkldnn__memory__extra__desc__t.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmkldnn__memory__desc__t.html">mkldnn_memory_desc_t</a></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structmkldnn__memory.html">mkldnn_memory</a></td></tr>
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Typedefs</h2></td></tr>
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<tr class="memdesc:ga15898db3725cddbf807b85ef351ca81f"><td class="mdescLeft">&#160;</td><td class="mdescRight">A type to describe tensor dimension. <a href="#ga15898db3725cddbf807b85ef351ca81f">More...</a><br /></td></tr>
<tr class="separator:ga15898db3725cddbf807b85ef351ca81f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga172d58716d5d4d104a05ed79a21dfec8"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="group__c__api__types__memory.html#ga15898db3725cddbf807b85ef351ca81f">mkldnn_dim_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__c__api__types__memory.html#ga172d58716d5d4d104a05ed79a21dfec8">mkldnn_dims_t</a>[<a class="el" href="group__c__api__types__memory.html#gabdefec6dd67abc44d68c97f51afbaf45">MKLDNN_MAX_NDIMS</a>]</td></tr>
<tr class="memdesc:ga172d58716d5d4d104a05ed79a21dfec8"><td class="mdescLeft">&#160;</td><td class="mdescRight">A type to describe tensor dimensions. <a href="#ga172d58716d5d4d104a05ed79a21dfec8">More...</a><br /></td></tr>
<tr class="separator:ga172d58716d5d4d104a05ed79a21dfec8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gacf7d7938936d5422bbd63ccb54efb336"><td class="memItemLeft" align="right" valign="top">typedef struct <a class="el" href="structmkldnn__memory.html">mkldnn_memory</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__c__api__types__memory.html#gacf7d7938936d5422bbd63ccb54efb336">mkldnn_memory_t</a></td></tr>
<tr class="memdesc:gacf7d7938936d5422bbd63ccb54efb336"><td class="mdescLeft">&#160;</td><td class="mdescRight">A memory handle. <a href="#gacf7d7938936d5422bbd63ccb54efb336">More...</a><br /></td></tr>
<tr class="separator:gacf7d7938936d5422bbd63ccb54efb336"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac10931d394b31cbf5d2c3b5d814f86e2"><td class="memItemLeft" align="right" valign="top">typedef const struct <a class="el" href="structmkldnn__memory.html">mkldnn_memory</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__c__api__types__memory.html#gac10931d394b31cbf5d2c3b5d814f86e2">const_mkldnn_memory_t</a></td></tr>
<tr class="memdesc:gac10931d394b31cbf5d2c3b5d814f86e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">A constant memory handle. <a href="#gac10931d394b31cbf5d2c3b5d814f86e2">More...</a><br /></td></tr>
<tr class="separator:gac10931d394b31cbf5d2c3b5d814f86e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Enumerations</h2></td></tr>
<tr class="memitem:ga9b836385e37583fa1aeaf2753b25e966"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__c__api__types__memory.html#ga9b836385e37583fa1aeaf2753b25e966">mkldnn_wino_memory_format_t</a> { <br />
&#160;&#160;<a class="el" href="group__c__api__types__memory.html#gga9b836385e37583fa1aeaf2753b25e966a4ccff5ca7da7995745fda89a4226ff41">mkldnn_wino_undef</a> = 0,
<a class="el" href="group__c__api__types__memory.html#gga9b836385e37583fa1aeaf2753b25e966ab3201fd84b8b965daaac644d3e7c2a21">mkldnn_wino_wei_aaOIoi</a>,
<a class="el" href="group__c__api__types__memory.html#gga9b836385e37583fa1aeaf2753b25e966a74e909055055bab9b0c6898df08b26a3">mkldnn_wino_wei_aaOio</a>,
<a class="el" href="group__c__api__types__memory.html#gga9b836385e37583fa1aeaf2753b25e966a186ab8062edcf178d218817d6ab700c3">mkldnn_wino_wei_aaOBiOo</a>,
<br />
&#160;&#160;<a class="el" href="group__c__api__types__memory.html#gga9b836385e37583fa1aeaf2753b25e966a53a0727b3e8985583f39b96c20e92d27">mkldnn_wino_wei_OBaaIBOIio</a>
<br />
}<tr class="memdesc:ga9b836385e37583fa1aeaf2753b25e966"><td class="mdescLeft">&#160;</td><td class="mdescRight">Winograd-specific formats. <a href="group__c__api__types__memory.html#ga9b836385e37583fa1aeaf2753b25e966">More...</a><br /></td></tr>
</td></tr>
<tr class="separator:ga9b836385e37583fa1aeaf2753b25e966"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga0b72d4deb16ce5703dc1641c80e9de87"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__c__api__types__memory.html#ga0b72d4deb16ce5703dc1641c80e9de87">mkldnn_rnn_packed_memory_format_t</a> { <a class="el" href="group__c__api__types__memory.html#gga0b72d4deb16ce5703dc1641c80e9de87a7ea620d880278e0e362f22a0dca727fc">mkldnn_packed_format_undef</a> = 0,
<a class="el" href="group__c__api__types__memory.html#gga0b72d4deb16ce5703dc1641c80e9de87aa01ef053fccf8bd78da948b9c61cc758">mkldnn_ldigo_p</a>,
<a class="el" href="group__c__api__types__memory.html#gga0b72d4deb16ce5703dc1641c80e9de87ae3debd06f01fcfc7249e64922652ed4f">mkldnn_ldgoi_p</a>
}</td></tr>
<tr class="separator:ga0b72d4deb16ce5703dc1641c80e9de87"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga16866483eb06591891e93924b19a2b73"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__c__api__types__memory.html#ga16866483eb06591891e93924b19a2b73">mkldnn_memory_extra_flags_t</a> { <a class="el" href="group__c__api__types__memory.html#gga16866483eb06591891e93924b19a2b73a1885d99763d35b9c07ad71c286e2a28f">mkldnn_memory_extra_flag_none</a> = 0x0U,
<a class="el" href="group__c__api__types__memory.html#gga16866483eb06591891e93924b19a2b73a517c1e993551853f409cee04679fcb2e">mkldnn_memory_extra_flag_compensation_conv_s8s8</a> = 0x1U,
<a class="el" href="group__c__api__types__memory.html#gga16866483eb06591891e93924b19a2b73ab4ed583a062bc7b9943a935ac9a75c04">mkldnn_memory_extra_flag_scale_adjust</a> = 0x2U
}<tr class="memdesc:ga16866483eb06591891e93924b19a2b73"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flags for memory special features. <a href="group__c__api__types__memory.html#ga16866483eb06591891e93924b19a2b73">More...</a><br /></td></tr>
</td></tr>
<tr class="separator:ga16866483eb06591891e93924b19a2b73"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<h2 class="groupheader">Macro Definition Documentation</h2>
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<td class="memname">#define MKLDNN_MAX_NDIMS&#160;&#160;&#160;12</td>
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<p>Maximum number of dimensions a tensor can have. Only restricts the amount of space used for the tensor description. Individual computational primitives may support only tensors of certain dimensions. </p>
</div>
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<a class="anchor" id="gae4437cbe3d3475d735279dd2eedca7dd"></a>
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<td class="memname">#define MKLDNN_MEMORY_ALLOCATE&#160;&#160;&#160;((void *)(size_t)-1)</td>
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</div>
</div>
<a class="anchor" id="ga09728eba6ccd8efeff3a6d91129cd6ef"></a>
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<td class="memname">#define MKLDNN_MEMORY_NONE&#160;&#160;&#160;(NULL)</td>
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<a class="anchor" id="ga09e605320955705ff8d2561026995b47"></a>
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<td class="memname">#define MKLDNN_RNN_MAX_N_PARTS&#160;&#160;&#160;4</td>
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<p>Maximum number of parts of RNN weights tensor that require separate computation. </p>
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</div>
<h2 class="groupheader">Typedef Documentation</h2>
<a class="anchor" id="gac10931d394b31cbf5d2c3b5d814f86e2"></a>
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<td class="memname">typedef const struct <a class="el" href="structmkldnn__memory.html">mkldnn_memory</a>* <a class="el" href="group__c__api__types__memory.html#gac10931d394b31cbf5d2c3b5d814f86e2">const_mkldnn_memory_t</a></td>
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<p>A constant memory handle. </p>
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<a class="anchor" id="ga15898db3725cddbf807b85ef351ca81f"></a>
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<td class="memname">typedef int64_t <a class="el" href="group__c__api__types__memory.html#ga15898db3725cddbf807b85ef351ca81f">mkldnn_dim_t</a></td>
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<p>A type to describe tensor dimension. </p>
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<a class="anchor" id="ga172d58716d5d4d104a05ed79a21dfec8"></a>
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<td class="memname">typedef <a class="el" href="group__c__api__types__memory.html#ga15898db3725cddbf807b85ef351ca81f">mkldnn_dim_t</a> mkldnn_dims_t[<a class="el" href="group__c__api__types__memory.html#gabdefec6dd67abc44d68c97f51afbaf45">MKLDNN_MAX_NDIMS</a>]</td>
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<p>A type to describe tensor dimensions. </p>
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</div>
<a class="anchor" id="gacf7d7938936d5422bbd63ccb54efb336"></a>
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<td class="memname">typedef struct <a class="el" href="structmkldnn__memory.html">mkldnn_memory</a>* <a class="el" href="group__c__api__types__memory.html#gacf7d7938936d5422bbd63ccb54efb336">mkldnn_memory_t</a></td>
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<p>A memory handle. </p>
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<h2 class="groupheader">Enumeration Type Documentation</h2>
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<td class="memname">enum <a class="el" href="group__c__api__types__memory.html#ga16866483eb06591891e93924b19a2b73">mkldnn_memory_extra_flags_t</a></td>
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<p>Flags for memory special features. </p>
<table class="fieldtable">
<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a class="anchor" id="gga16866483eb06591891e93924b19a2b73a1885d99763d35b9c07ad71c286e2a28f"></a>mkldnn_memory_extra_flag_none&#160;</td><td class="fielddoc">
</td></tr>
<tr><td class="fieldname"><a class="anchor" id="gga16866483eb06591891e93924b19a2b73a517c1e993551853f409cee04679fcb2e"></a>mkldnn_memory_extra_flag_compensation_conv_s8s8&#160;</td><td class="fielddoc">
<p>Indicates the weights have an additional buffer, that depends on the <code>compensation_mask</code>.</p>
<p>For instance, in 4D case with the compensation mask equals (1 &lt;&lt; 0) the additional buffer would consist of OC values: O[oc : 0,OC] = -128 * SUM(ic : 0,IC; kh : 0,KH; kw : 0,KW){ weights(oc, ic, kh, kw) } </p>
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<tr><td class="fieldname"><a class="anchor" id="gga16866483eb06591891e93924b19a2b73ab4ed583a062bc7b9943a935ac9a75c04"></a>mkldnn_memory_extra_flag_scale_adjust&#160;</td><td class="fielddoc">
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<td class="memname">enum <a class="el" href="group__c__api__types__memory.html#ga0b72d4deb16ce5703dc1641c80e9de87">mkldnn_rnn_packed_memory_format_t</a></td>
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<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a class="anchor" id="gga0b72d4deb16ce5703dc1641c80e9de87a7ea620d880278e0e362f22a0dca727fc"></a>mkldnn_packed_format_undef&#160;</td><td class="fielddoc">
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<tr><td class="fieldname"><a class="anchor" id="gga0b72d4deb16ce5703dc1641c80e9de87aa01ef053fccf8bd78da948b9c61cc758"></a>mkldnn_ldigo_p&#160;</td><td class="fielddoc">
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<tr><td class="fieldname"><a class="anchor" id="gga0b72d4deb16ce5703dc1641c80e9de87ae3debd06f01fcfc7249e64922652ed4f"></a>mkldnn_ldgoi_p&#160;</td><td class="fielddoc">
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<td class="memname">enum <a class="el" href="group__c__api__types__memory.html#ga9b836385e37583fa1aeaf2753b25e966">mkldnn_wino_memory_format_t</a></td>
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<p>Winograd-specific formats. </p>
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<p>Undefined memory format, used for empty memory descriptors. </p>
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<tr><td class="fieldname"><a class="anchor" id="gga9b836385e37583fa1aeaf2753b25e966ab3201fd84b8b965daaac644d3e7c2a21"></a>mkldnn_wino_wei_aaOIoi&#160;</td><td class="fielddoc">
<p>Internal weights format for 2x3 Winograd. </p>
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<tr><td class="fieldname"><a class="anchor" id="gga9b836385e37583fa1aeaf2753b25e966a74e909055055bab9b0c6898df08b26a3"></a>mkldnn_wino_wei_aaOio&#160;</td><td class="fielddoc">
<p>Internal weights format for 2x3 Winograd. </p>
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<tr><td class="fieldname"><a class="anchor" id="gga9b836385e37583fa1aeaf2753b25e966a186ab8062edcf178d218817d6ab700c3"></a>mkldnn_wino_wei_aaOBiOo&#160;</td><td class="fielddoc">
<p>Internal weights format for 2x3 Winograd. </p>
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<tr><td class="fieldname"><a class="anchor" id="gga9b836385e37583fa1aeaf2753b25e966a53a0727b3e8985583f39b96c20e92d27"></a>mkldnn_wino_wei_OBaaIBOIio&#160;</td><td class="fielddoc">
<p>Internal weights format for 4x3 Winograd. </p>
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