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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1layout.html">layout</a></li><li class="navelem"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">TensorOpMultiplicandCrosswise</a></li> </ul>
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<a href="#pub-types">Public Types</a> &#124;
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<div class="title">cutlass::layout::TensorOpMultiplicandCrosswise&lt; ElementSize, Crosswise &gt; Struct Template Reference</div> </div>
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<p><code>#include &lt;<a class="el" href="tensor__op__multiplicand__sm75_8h_source.html">tensor_op_multiplicand_sm75.h</a>&gt;</code></p>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a4e8aa7fa89ae4ebd8afe284a9786df27"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">Index</a> = int32_t</td></tr>
<tr class="memdesc:a4e8aa7fa89ae4ebd8afe284a9786df27"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type used for coordinates. <a href="#a4e8aa7fa89ae4ebd8afe284a9786df27">More...</a><br /></td></tr>
<tr class="separator:a4e8aa7fa89ae4ebd8afe284a9786df27"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a07de92ffadfe255537479c37b04cde6f"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">LongIndex</a> = int64_t</td></tr>
<tr class="memdesc:a07de92ffadfe255537479c37b04cde6f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long index type used for offsets. <a href="#a07de92ffadfe255537479c37b04cde6f">More...</a><br /></td></tr>
<tr class="separator:a07de92ffadfe255537479c37b04cde6f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab16e1b8b92486a3afbf6952e2b109835"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ab16e1b8b92486a3afbf6952e2b109835">TensorCoord</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">PitchLinearCoord</a></td></tr>
<tr class="memdesc:ab16e1b8b92486a3afbf6952e2b109835"><td class="mdescLeft">&#160;</td><td class="mdescRight">Logical coordinate. <a href="#ab16e1b8b92486a3afbf6952e2b109835">More...</a><br /></td></tr>
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<tr class="memitem:a7e47b9ac97ed2df72445eff6c598ad0d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a7e47b9ac97ed2df72445eff6c598ad0d">Stride</a> = <a class="el" href="structcutlass_1_1Coord.html">Coord</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ad165f5ccdcd9a82efec86e830c03ba00">kStrideRank</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">Index</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">LongIndex</a> &gt;</td></tr>
<tr class="memdesc:a7e47b9ac97ed2df72445eff6c598ad0d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stride vector. <a href="#a7e47b9ac97ed2df72445eff6c598ad0d">More...</a><br /></td></tr>
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<tr class="memitem:a1634bc35ab63daec869b61382543c764"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a1634bc35ab63daec869b61382543c764">Base</a> = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;</td></tr>
<tr class="separator:a1634bc35ab63daec869b61382543c764"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aba317cad410b80b71b703eebe9367a06"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#aba317cad410b80b71b703eebe9367a06">TileShape</a> = typename <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1fe038f4ae8da6c432397cf20d5894a1">Base::TileShape</a></td></tr>
<tr class="separator:aba317cad410b80b71b703eebe9367a06"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8ef78b952d245778ef8df144df21de2e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a8ef78b952d245778ef8df144df21de2e">PartitionShape</a> = typename <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a46f64537deddaaedfaca7b5ae3cc3e6e">Base::PartitionShape</a></td></tr>
<tr class="separator:a8ef78b952d245778ef8df144df21de2e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3ff5e9dcf1e98e074b40a2e06fa56df0"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a3ff5e9dcf1e98e074b40a2e06fa56df0">PartitionCount</a> = typename <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a439376ce6d4333d65d971c0012674931">Base::PartitionCount</a></td></tr>
<tr class="separator:a3ff5e9dcf1e98e074b40a2e06fa56df0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae9c97a64123f074907e805d3642d924b"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ae9c97a64123f074907e805d3642d924b">AccessCount</a> = typename <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#aca2a06b16d1d4b1b9c0e8b8485e1b02f">Base::AccessCount</a></td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a1ec5d2e030810801e5e5816916a1cf7f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a1ec5d2e030810801e5e5816916a1cf7f">TensorOpMultiplicandCrosswise</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">Index</a> ldm=0)</td></tr>
<tr class="memdesc:a1ec5d2e030810801e5e5816916a1cf7f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ctor. <a href="#a1ec5d2e030810801e5e5816916a1cf7f">More...</a><br /></td></tr>
<tr class="separator:a1ec5d2e030810801e5e5816916a1cf7f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a34106f682f912c7d73ce03964e220859"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a34106f682f912c7d73ce03964e220859">TensorOpMultiplicandCrosswise</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a7e47b9ac97ed2df72445eff6c598ad0d">Stride</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a51b6769545027ba9304cf9d1f1dd05f6">stride</a>)</td></tr>
<tr class="memdesc:a34106f682f912c7d73ce03964e220859"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ctor. <a href="#a34106f682f912c7d73ce03964e220859">More...</a><br /></td></tr>
<tr class="separator:a34106f682f912c7d73ce03964e220859"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab78912683077ccfdd5c664069de713f1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">LongIndex</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ab78912683077ccfdd5c664069de713f1">operator()</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ab16e1b8b92486a3afbf6952e2b109835">TensorCoord</a> const &amp;coord) const </td></tr>
<tr class="separator:ab78912683077ccfdd5c664069de713f1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac4ff3d7bfc5303cb2dee432a7cc430da"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ab16e1b8b92486a3afbf6952e2b109835">TensorCoord</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ac4ff3d7bfc5303cb2dee432a7cc430da">inverse</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">LongIndex</a> offset) const </td></tr>
<tr class="memdesc:ac4ff3d7bfc5303cb2dee432a7cc430da"><td class="mdescLeft">&#160;</td><td class="mdescRight">Inverse of layout function, mapping linear offset to logical coordinate. <a href="#ac4ff3d7bfc5303cb2dee432a7cc430da">More...</a><br /></td></tr>
<tr class="separator:ac4ff3d7bfc5303cb2dee432a7cc430da"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a51b6769545027ba9304cf9d1f1dd05f6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a7e47b9ac97ed2df72445eff6c598ad0d">Stride</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a51b6769545027ba9304cf9d1f1dd05f6">stride</a> () const </td></tr>
<tr class="memdesc:a51b6769545027ba9304cf9d1f1dd05f6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride of the layout. <a href="#a51b6769545027ba9304cf9d1f1dd05f6">More...</a><br /></td></tr>
<tr class="separator:a51b6769545027ba9304cf9d1f1dd05f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a06294c449ba29798c1fbfc3baebb0b0c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a7e47b9ac97ed2df72445eff6c598ad0d">Stride</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a06294c449ba29798c1fbfc3baebb0b0c">stride</a> ()</td></tr>
<tr class="memdesc:a06294c449ba29798c1fbfc3baebb0b0c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride of the layout. <a href="#a06294c449ba29798c1fbfc3baebb0b0c">More...</a><br /></td></tr>
<tr class="separator:a06294c449ba29798c1fbfc3baebb0b0c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abf4bd0dac231dfa83fc109420371fe8e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">LongIndex</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#abf4bd0dac231dfa83fc109420371fe8e">capacity</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ab16e1b8b92486a3afbf6952e2b109835">TensorCoord</a> const &amp;extent) const </td></tr>
<tr class="separator:abf4bd0dac231dfa83fc109420371fe8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<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:a1a69654a56446c0271037c5df7fbfc86"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">TensorOpMultiplicandCrosswise</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a1a69654a56446c0271037c5df7fbfc86">packed</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ab16e1b8b92486a3afbf6952e2b109835">TensorCoord</a> const &amp;extent)</td></tr>
<tr class="memdesc:a1a69654a56446c0271037c5df7fbfc86"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper returns a layout to a tightly packed tensor. <a href="#a1a69654a56446c0271037c5df7fbfc86">More...</a><br /></td></tr>
<tr class="separator:a1a69654a56446c0271037c5df7fbfc86"><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-attribs"></a>
Static Public Attributes</h2></td></tr>
<tr class="memitem:a6a0c039823054c3ce6b083634e38eb85"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a6a0c039823054c3ce6b083634e38eb85">kRank</a> = 2</td></tr>
<tr class="memdesc:a6a0c039823054c3ce6b083634e38eb85"><td class="mdescLeft">&#160;</td><td class="mdescRight">Logical rank of tensor. <a href="#a6a0c039823054c3ce6b083634e38eb85">More...</a><br /></td></tr>
<tr class="separator:a6a0c039823054c3ce6b083634e38eb85"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad165f5ccdcd9a82efec86e830c03ba00"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ad165f5ccdcd9a82efec86e830c03ba00">kStrideRank</a> = 1</td></tr>
<tr class="memdesc:ad165f5ccdcd9a82efec86e830c03ba00"><td class="mdescLeft">&#160;</td><td class="mdescRight">Rank of stride vector. <a href="#ad165f5ccdcd9a82efec86e830c03ba00">More...</a><br /></td></tr>
<tr class="separator:ad165f5ccdcd9a82efec86e830c03ba00"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a44e047e914c52edcfeb07bc3747c0b18"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a44e047e914c52edcfeb07bc3747c0b18">kAccessSize</a> = Base::kAccessSize</td></tr>
<tr class="memdesc:a44e047e914c52edcfeb07bc3747c0b18"><td class="mdescLeft">&#160;</td><td class="mdescRight">This layout is optimized for 128b accesses. <a href="#a44e047e914c52edcfeb07bc3747c0b18">More...</a><br /></td></tr>
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<tr class="memitem:af07f2e40a9ba698ed0e98ac449b3f61f"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#af07f2e40a9ba698ed0e98ac449b3f61f">kElementSize</a> = Base::kElementSize</td></tr>
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<tr class="memitem:a11572d8b23d45062f1844286c9c63db6"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a11572d8b23d45062f1844286c9c63db6">kElementsPerAccess</a> = Base::kElementsPerAccess</td></tr>
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<tr class="memitem:a7b0e3438e68b0c121f40ff9c79ae8d51"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a7b0e3438e68b0c121f40ff9c79ae8d51">kCrosswise</a> = Base::kCrosswise</td></tr>
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<tr class="memitem:a6f1f52234a9fb636ff84f2139ffa432b"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a6f1f52234a9fb636ff84f2139ffa432b">kFactor</a> = Base::kFactor</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;int ElementSize, int Crosswise&gt;<br />
struct cutlass::layout::TensorOpMultiplicandCrosswise&lt; ElementSize, Crosswise &gt;</h3>
<p>Template based on element size (in bits) - defined in terms of pitch-linear memory and Crosswise size (in elements). </p>
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<td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ae9c97a64123f074907e805d3642d924b">AccessCount</a> = typename <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#aca2a06b16d1d4b1b9c0e8b8485e1b02f">Base::AccessCount</a></td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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<td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a1634bc35ab63daec869b61382543c764">Base</a> = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">TensorOpMultiplicand</a>&lt;ElementSize, Crosswise&gt;</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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<td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">Index</a> = int32_t</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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<td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a8ef78b952d245778ef8df144df21de2e">PartitionShape</a> = typename <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a46f64537deddaaedfaca7b5ae3cc3e6e">Base::PartitionShape</a></td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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<td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a7e47b9ac97ed2df72445eff6c598ad0d">Stride</a> = <a class="el" href="structcutlass_1_1Coord.html">Coord</a>&lt;<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#ad165f5ccdcd9a82efec86e830c03ba00">kStrideRank</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a4e8aa7fa89ae4ebd8afe284a9786df27">Index</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html#a07de92ffadfe255537479c37b04cde6f">LongIndex</a>&gt;</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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<td class="paramname"><em>ldm</em> = <code>0</code></td><td>)</td>
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<p>Compute the number of contiguous elements needed to store a tensor with the given size </p>
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<p>Returns the offset of a coordinate in linear memory. Assumes coordinate has convention (contiguous, strided) </p>
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<td class="paramname"><em>extent</em></td><td>)</td>
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<td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::kCrosswise = Base::kCrosswise</td>
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<td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">cutlass::layout::TensorOpMultiplicandCrosswise</a>&lt; ElementSize, Crosswise &gt;::kElementSize = Base::kElementSize</td>
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<hr/>The documentation for this struct was generated from the following file:<ul>
<li><a class="el" href="tensor__op__multiplicand__sm75_8h_source.html">tensor_op_multiplicand_sm75.h</a></li>
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