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<a href="gemm_2thread_2mma__sm50_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a na
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a170523641b3dcccf8d2a65c42d57fe8a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a170523641b3dcccf8d2a65c42d57fe8a">cutlass::gemm::thread::MmaGeneric::FragmentB</a></div><div class="ttdeci">Array&lt; ElementB, Shape::kKN &gt; FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:95</div></div>
<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a400d6fc8296c16b6277c3d7ad650e7c1"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a400d6fc8296c16b6277c3d7ad650e7c1">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::ElementA</a></div><div class="ttdeci">ElementA_ ElementA</div><div class="ttdoc">Data type of operand A. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:203</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_aa1e00de6ae05673351b0c7bba92827ab"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#aa1e00de6ae05673351b0c7bba92827ab">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::ElementB</a></div><div class="ttdeci">ElementB_ ElementB</div><div class="ttdoc">Data type of operand B. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:209</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a810a6e485277560581a10cf0330fd7bd"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a810a6e485277560581a10cf0330fd7bd">cutlass::gemm::thread::MmaGeneric::FragmentC</a></div><div class="ttdeci">Array&lt; ElementC, Shape::kMN &gt; FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:98</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_ae98fd835ed4750d4f22d7e4e50b5e59f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#ae98fd835ed4750d4f22d7e4e50b5e59f">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void operator()(FragmentC &amp;D, FragmentA const &amp;A, FragmentB const &amp;B, FragmentC const &amp;C)</div><div class="ttdoc">Computes a matrix product D = A * B + C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:238</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_abba82524c11d44ef3d9efbcc7288414a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#abba82524c11d44ef3d9efbcc7288414a">cutlass::gemm::thread::MmaGeneric::LayoutA</a></div><div class="ttdeci">LayoutA_ LayoutA</div><div class="ttdoc">Layout of A matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:74</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a6109558276e8c66a4d3e9ad53fb046d8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a6109558276e8c66a4d3e9ad53fb046d8">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::FragmentC</a></div><div class="ttdeci">Array&lt; ElementC, Shape::kMN &gt; FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:230</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a6982992a7471d2d93532d1b9548328b4"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a6982992a7471d2d93532d1b9548328b4">cutlass::gemm::thread::MmaGeneric::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of C matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:86</div></div>
<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a58b3c904716c54edb20b1ae1ae0bc715"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a58b3c904716c54edb20b1ae1ae0bc715">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::ElementC</a></div><div class="ttdeci">ElementC_ ElementC</div><div class="ttdoc">Element type of operand C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:215</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_acdd8283a365558c990ecc6e5f1c64a96"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#acdd8283a365558c990ecc6e5f1c64a96">cutlass::gemm::thread::MmaGeneric::ElementA</a></div><div class="ttdeci">ElementA_ ElementA</div><div class="ttdoc">Data type of operand A. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:71</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a9f0bf5d5870ae9a6524b425fda31a2c6"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a9f0bf5d5870ae9a6524b425fda31a2c6">cutlass::gemm::thread::MmaGeneric::LayoutB</a></div><div class="ttdeci">LayoutB_ LayoutB</div><div class="ttdoc">Layout of B matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:80</div></div>
<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
<div class="ttc" id="arch_2mma_8h_html"><div class="ttname"><a href="arch_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for multiply-add operations. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a0e71571693f24560bdba20fbd2ea1a77"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a0e71571693f24560bdba20fbd2ea1a77">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::LayoutB</a></div><div class="ttdeci">LayoutB_ LayoutB</div><div class="ttdoc">Layout of B matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:212</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html">cutlass::gemm::thread::MmaGeneric</a></div><div class="ttdoc">Gemplate that handles all packed matrix layouts. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:65</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef&lt; ElementA const, LayoutA &gt;</a></div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a66abc782808b6b3e68518aff43a0b200"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a66abc782808b6b3e68518aff43a0b200">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::FragmentA</a></div><div class="ttdeci">Array&lt; ElementA, Shape::kMK &gt; FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:224</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_aa52815a830293f0a5b2cfb58689fb4a5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#aa52815a830293f0a5b2cfb58689fb4a5">cutlass::gemm::thread::MmaGeneric::FragmentA</a></div><div class="ttdeci">Array&lt; ElementA, Shape::kMK &gt; FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:92</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a08207ff2d73d653194a061153edc27a9"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a08207ff2d73d653194a061153edc27a9">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::Operator</a></div><div class="ttdeci">arch::OpMultiplyAdd Operator</div><div class="ttdoc">Underlying mathematical operator. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:221</div></div>
<div class="ttc" id="cutlass_8h_html_a28c2443a142676d3d71effdae1a986b1"><div class="ttname"><a href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="ttdeci">#define CUTLASS_HOST_DEVICE</div><div class="ttdef"><b>Definition:</b> cutlass.h:89</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_aaa44f05276c7cad6d8524817e9ab0e23"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#aaa44f05276c7cad6d8524817e9ab0e23">cutlass::gemm::thread::MmaGeneric::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Size of the Gemm problem - concept: gemm::GemmShape&lt;&gt; </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:68</div></div>
<div class="ttc" id="gemm_2thread_2mma_8h_html"><div class="ttname"><a href="gemm_2thread_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp-level multiply-add operations. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html">cutlass::gemm::GemmShape</a></div><div class="ttdoc">Shape of a matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:57</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a2deaf8959c027ab4aca92630b85f5211"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a2deaf8959c027ab4aca92630b85f5211">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::FragmentB</a></div><div class="ttdeci">Array&lt; ElementB, Shape::kKN &gt; FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:227</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_aeef7c1c07c481fb13e3ab2025d22133a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#aeef7c1c07c481fb13e3ab2025d22133a">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Size of the Gemm problem - concept: gemm::GemmShape&lt;&gt; </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:200</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a1131288ac68988bb611e39d6523026f4"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a1131288ac68988bb611e39d6523026f4">cutlass::gemm::thread::MmaGeneric::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void operator()(FragmentC &amp;D, FragmentA const &amp;A, FragmentB const &amp;B, FragmentC const &amp;C)</div><div class="ttdoc">Computes a matrix product D = A * B + C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:115</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_a8758907a1c9b1fcd00e7ece626d03b76"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Reference at(TensorCoord const &amp;coord) const </div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:307</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">cutlass::gemm::thread::Mma</a></div><div class="ttdoc">Structure to compute the matrix product. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma.h:66</div></div>
<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_af1c453f655d29855f026ab6dfc8f7ae9"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#af1c453f655d29855f026ab6dfc8f7ae9">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::LayoutA</a></div><div class="ttdeci">LayoutA_ LayoutA</div><div class="ttdoc">Layout of A matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:206</div></div>
<div class="ttc" id="structcutlass_1_1arch_1_1Mma_html"><div class="ttname"><a href="structcutlass_1_1arch_1_1Mma.html">cutlass::arch::Mma</a></div><div class="ttdoc">Matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> arch/mma.h:92</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56_html_a08a2137eb47c1caa00adaf3572c706a0"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01ElementA___00_01LayoutA___00_01ElementB_e41c1cd6078b6d1347fac239b0639d56.html#a08a2137eb47c1caa00adaf3572c706a0">cutlass::gemm::thread::Mma&lt; Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, arch::OpMultiplyAdd, bool &gt;::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of C matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:218</div></div>
<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
<div class="ttc" id="structcutlass_1_1MatrixCoord_html"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html">cutlass::MatrixCoord</a></div><div class="ttdef"><b>Definition:</b> matrix_coord.h:39</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a09c7ea00c416fb58b199811a6cd4824c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a09c7ea00c416fb58b199811a6cd4824c">cutlass::gemm::thread::MmaGeneric::ElementB</a></div><div class="ttdeci">ElementB_ ElementB</div><div class="ttdoc">Data type of operand B. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:77</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html_a451781c981cc611164674e95ed494e20"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html#a451781c981cc611164674e95ed494e20">cutlass::gemm::thread::MmaGeneric::ElementC</a></div><div class="ttdeci">ElementC_ ElementC</div><div class="ttdoc">Element type of operand C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:83</div></div>
<div class="ttc" id="structcutlass_1_1arch_1_1Mma_3_01gemm_1_1GemmShape_3_011_00_011_00_011_01_4_00_011_00_01ElementAb6e65b2cf5ede7f41cb070a767158dee_html"><div class="ttname"><a href="structcutlass_1_1arch_1_1Mma_3_01gemm_1_1GemmShape_3_011_00_011_00_011_01_4_00_011_00_01ElementAb6e65b2cf5ede7f41cb070a767158dee.html">cutlass::arch::Mma&lt; gemm::GemmShape&lt; 1, 1, 1 &gt;, 1, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, Operator &gt;</a></div><div class="ttdoc">Matrix multiply-add operation - specialized for 1x1x1x1 matrix multiply operation. </div><div class="ttdef"><b>Definition:</b> arch/mma.h:113</div></div>
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