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<a href="thread__multiply__add_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> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <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> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <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> <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> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <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> <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> <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> <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> <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> <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 name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="fragment_8h.html">cutlass/fragment.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">template</span> <<span class="keyword">typename</span> ThreadGemmShape_,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">typename</span> ThreadsPerWarp_,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">typename</span> ScalarA_,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">typename</span> ScalarB_,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">typename</span> ScalarC_,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="namespacecutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2b">MatrixLayout::Kind</a> kLayout_ = <a class="code" href="namespacecutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2bac15988acba79c11072d38b295f163a2b">MatrixLayout::kColumnMajor</a>></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html"> 44</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html">ThreadMultiplyAdd</a> {</div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a56d687b878397c694e7338fa750995af"> 46</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Shape.html">Shape<1, 1, 1, 1></a> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a56d687b878397c694e7338fa750995af">InstructionShape</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a33a68b52cca697bd505bfd982938143e"> 48</a></span>  <span class="keyword">typedef</span> ThreadGemmShape_ <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a33a68b52cca697bd505bfd982938143e">ThreadGemmShape</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#ad8ea3777c307bf3f8c58a8df3966715d"> 50</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a33a68b52cca697bd505bfd982938143e">ThreadGemmShape</a> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#ad8ea3777c307bf3f8c58a8df3966715d">AccumulatorsPerThread</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a19bd7eb621b08f192bc01a4634853a9b"> 52</a></span>  <span class="keyword">typedef</span> ThreadsPerWarp_ <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a19bd7eb621b08f192bc01a4634853a9b">ThreadsPerWarp</a>;</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a9f706e141ec3bc880fa17a5731d8370e"> 54</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1ShapeMul.html#a8875fc5e861339f981360ed774e8cc94">ShapeMul<ThreadGemmShape, ThreadsPerWarp>::Shape</a> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a9f706e141ec3bc880fa17a5731d8370e">AccumulatorsPerWarp</a>;</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a6bb4f6a102edc2c8fba5b67abf05c363"> 56</a></span>  <span class="keyword">typedef</span> ScalarA_ <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a6bb4f6a102edc2c8fba5b67abf05c363">ScalarA</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a7c1cc536ac6ad12800f9e2b5ec682649"> 58</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarA, AccumulatorsPerThread::kW></a> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a7c1cc536ac6ad12800f9e2b5ec682649">FragmentA</a>;</div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a6c9a73da33b5ba70307a719db988b56c"> 60</a></span>  <span class="keyword">typedef</span> ScalarB_ <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a6c9a73da33b5ba70307a719db988b56c">ScalarB</a>;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a1401162276ea0858ea85a8e4785adbad"> 62</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarB, AccumulatorsPerThread::kH></a> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a1401162276ea0858ea85a8e4785adbad">FragmentB</a>;</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#af41778b170d940d10bd53f13d34912b1"> 64</a></span>  <span class="keyword">typedef</span> ScalarC_ <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#af41778b170d940d10bd53f13d34912b1">ScalarC</a>;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a72d1ac143dab68b6cdd73d057315fcb6"> 66</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Fragment.html">Fragment<ScalarC, AccumulatorsPerThread::kH * AccumulatorsPerThread::kW, 16></a> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a72d1ac143dab68b6cdd73d057315fcb6">Accumulators</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#ac087f0b397599221b74d220fcb1c7121"> 69</a></span>  CUTLASS_DEVICE <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#ac087f0b397599221b74d220fcb1c7121">ThreadMultiplyAdd</a>() {}</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a7989d48e4c2e16b7804b813630f347cb"> 72</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a7989d48e4c2e16b7804b813630f347cb">multiply_add</a>(<a class="code" href="structcutlass_1_1Fragment.html">FragmentA</a> <span class="keyword">const</span>& a,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="structcutlass_1_1Fragment.html">FragmentB</a> <span class="keyword">const</span>& b,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="structcutlass_1_1Fragment.html">Accumulators</a> <span class="keyword">const</span>& c,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="structcutlass_1_1Fragment.html">Accumulators</a>& d) {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span>(kLayout_ == <a class="code" href="namespacecutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2bac15988acba79c11072d38b295f163a2b">MatrixLayout::kColumnMajor</a>) {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < AccumulatorsPerThread::kH; ++j) {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < AccumulatorsPerThread::kW; ++i) {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  d[j * AccumulatorsPerThread::kW + i] = a[i] * b[j] + c[j * AccumulatorsPerThread::kW + i];</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < AccumulatorsPerThread::kW; ++i) {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = 0; j < AccumulatorsPerThread::kH; ++j) {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  d[i * AccumulatorsPerThread::kH + j] = a[i] * b[j] + c[i * AccumulatorsPerThread::kH + j];</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> };</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> convert.h:33</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a7c1cc536ac6ad12800f9e2b5ec682649"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a7c1cc536ac6ad12800f9e2b5ec682649">cutlass::gemm::ThreadMultiplyAdd::FragmentA</a></div><div class="ttdeci">Fragment< ScalarA, AccumulatorsPerThread::kW > FragmentA</div><div class="ttdoc">The fragment for A. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:58</div></div>
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<div class="ttc" id="namespacecutlass_1_1MatrixLayout_html_a97ef07af21b122c1804245b0c7784d2b"><div class="ttname"><a href="namespacecutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2b">cutlass::MatrixLayout::Kind</a></div><div class="ttdeci">Kind</div><div class="ttdoc">Enumeration defining fundamental contiguous layouts. </div><div class="ttdef"><b>Definition:</b> matrix_traits.h:159</div></div>
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<div class="ttc" id="structcutlass_1_1ShapeMul_html_a8875fc5e861339f981360ed774e8cc94"><div class="ttname"><a href="structcutlass_1_1ShapeMul.html#a8875fc5e861339f981360ed774e8cc94">cutlass::ShapeMul::Shape</a></div><div class="ttdeci">Shape< A_::kD *B_::kD, A_::kH *B_::kH, A_::kW *B_::kW, A_::kC *B_::kC > Shape</div><div class="ttdef"><b>Definition:</b> shape.h:119</div></div>
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<div class="ttc" id="structcutlass_1_1Fragment_html"><div class="ttname"><a href="structcutlass_1_1Fragment.html">cutlass::Fragment</a></div><div class="ttdoc">A template defining Fragment Concept. </div><div class="ttdef"><b>Definition:</b> fragment.h:99</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a9f706e141ec3bc880fa17a5731d8370e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a9f706e141ec3bc880fa17a5731d8370e">cutlass::gemm::ThreadMultiplyAdd::AccumulatorsPerWarp</a></div><div class="ttdeci">ShapeMul< ThreadGemmShape, ThreadsPerWarp >::Shape AccumulatorsPerWarp</div><div class="ttdoc">The number of accumulators per warp. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:54</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a6c9a73da33b5ba70307a719db988b56c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a6c9a73da33b5ba70307a719db988b56c">cutlass::gemm::ThreadMultiplyAdd::ScalarB</a></div><div class="ttdeci">ScalarB_ ScalarB</div><div class="ttdoc">The type for B. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:60</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a7989d48e4c2e16b7804b813630f347cb"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a7989d48e4c2e16b7804b813630f347cb">cutlass::gemm::ThreadMultiplyAdd::multiply_add</a></div><div class="ttdeci">CUTLASS_DEVICE void multiply_add(FragmentA const &a, FragmentB const &b, Accumulators const &c, Accumulators &d)</div><div class="ttdoc">Multiply : d = a*b + c. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:72</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_ac087f0b397599221b74d220fcb1c7121"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#ac087f0b397599221b74d220fcb1c7121">cutlass::gemm::ThreadMultiplyAdd::ThreadMultiplyAdd</a></div><div class="ttdeci">CUTLASS_DEVICE ThreadMultiplyAdd()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:69</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a33a68b52cca697bd505bfd982938143e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a33a68b52cca697bd505bfd982938143e">cutlass::gemm::ThreadMultiplyAdd::ThreadGemmShape</a></div><div class="ttdeci">ThreadGemmShape_ ThreadGemmShape</div><div class="ttdoc">The shape of a thread-leveel matrix multiply accumulate. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:48</div></div>
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<div class="ttc" id="structcutlass_1_1Shape_html"><div class="ttname"><a href="structcutlass_1_1Shape.html">cutlass::Shape</a></div><div class="ttdoc">A Shape implementing Layout Concept describing the dimensions of a cube. </div><div class="ttdef"><b>Definition:</b> shape.h:64</div></div>
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<div class="ttc" id="namespacecutlass_1_1MatrixLayout_html_a97ef07af21b122c1804245b0c7784d2bac15988acba79c11072d38b295f163a2b"><div class="ttname"><a href="namespacecutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2bac15988acba79c11072d38b295f163a2b">cutlass::MatrixLayout::kColumnMajor</a></div><div class="ttdef"><b>Definition:</b> matrix_traits.h:159</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a72d1ac143dab68b6cdd73d057315fcb6"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a72d1ac143dab68b6cdd73d057315fcb6">cutlass::gemm::ThreadMultiplyAdd::Accumulators</a></div><div class="ttdeci">Fragment< ScalarC, AccumulatorsPerThread::kH *AccumulatorsPerThread::kW, 16 > Accumulators</div><div class="ttdoc">The accumulators. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:66</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a6bb4f6a102edc2c8fba5b67abf05c363"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a6bb4f6a102edc2c8fba5b67abf05c363">cutlass::gemm::ThreadMultiplyAdd::ScalarA</a></div><div class="ttdeci">ScalarA_ ScalarA</div><div class="ttdoc">The type for A. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:56</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html">cutlass::gemm::ThreadMultiplyAdd</a></div><div class="ttdoc">Template performing matrix multiply-add operation within a thread. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:44</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a19bd7eb621b08f192bc01a4634853a9b"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a19bd7eb621b08f192bc01a4634853a9b">cutlass::gemm::ThreadMultiplyAdd::ThreadsPerWarp</a></div><div class="ttdeci">ThreadsPerWarp_ ThreadsPerWarp</div><div class="ttdoc">The number of threads per warp. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:52</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_af41778b170d940d10bd53f13d34912b1"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#af41778b170d940d10bd53f13d34912b1">cutlass::gemm::ThreadMultiplyAdd::ScalarC</a></div><div class="ttdeci">ScalarC_ ScalarC</div><div class="ttdoc">The type for C and D. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:64</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_ad8ea3777c307bf3f8c58a8df3966715d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#ad8ea3777c307bf3f8c58a8df3966715d">cutlass::gemm::ThreadMultiplyAdd::AccumulatorsPerThread</a></div><div class="ttdeci">ThreadGemmShape AccumulatorsPerThread</div><div class="ttdoc">Aliased to "AccumulatorsPerThread" for compatibility. Expect to be renamed in CUTLASS v2...</div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:50</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a56d687b878397c694e7338fa750995af"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a56d687b878397c694e7338fa750995af">cutlass::gemm::ThreadMultiplyAdd::InstructionShape</a></div><div class="ttdeci">Shape< 1, 1, 1, 1 > InstructionShape</div><div class="ttdoc">The shape of the instruction. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:46</div></div>
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<div class="ttc" id="fragment_8h_html"><div class="ttname"><a href="fragment_8h.html">fragment.h</a></div><div class="ttdoc">Defines Fragment, a statically-sized array for storing parts of matrices within a thread&#39;s registers...</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_html_a1401162276ea0858ea85a8e4785adbad"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html#a1401162276ea0858ea85a8e4785adbad">cutlass::gemm::ThreadMultiplyAdd::FragmentB</a></div><div class="ttdeci">Fragment< ScalarB, AccumulatorsPerThread::kH > FragmentB</div><div class="ttdoc">The fragment for B. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:62</div></div>
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