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<a href="wmma__gemm__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="wmma__matrix_8h.html">cutlass/wmma_matrix.h</a>></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#ifdef CUTLASS_USE_WMMA_API</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <<a class="code" href="fragment_8h.html">cutlass/fragment.h</a>></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>gemm {</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> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">template</span> <<a class="code" href="structcutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2b">MatrixLayout::Kind</a> kLayoutA_,</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>  <a class="code" href="structcutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2b">MatrixLayout::Kind</a> kLayoutB_,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">typename</span> ScalarB_,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="structcutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2b">MatrixLayout::Kind</a> kLayoutC_,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">typename</span> ScalarC_,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">typename</span> AccumulatorsPerWarp_,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">typename</span> InstructionShape_></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">struct </span>WmmaGemmMultiplyAdd {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">typedef</span> InstructionShape_ InstructionShape;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">typedef</span> Shape<1, InstructionShape_::kH, InstructionShape_::kW> ThreadsPerWarp;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">typedef</span> AccumulatorsPerWarp_ AccumulatorsPerWarp;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typedef</span> ScalarA_ ScalarA;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">typedef</span> ScalarB_ ScalarB;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">typedef</span> ScalarC_ ScalarC;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1ShapeDiv.html#a108ded386ef6708afc6fe769a77a234b">ShapeDiv<AccumulatorsPerWarp, InstructionShape>::Shape</a> Iterations;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">typedef</span> WmmaMatrix<GemmOperand::kA, kLayoutA_, ScalarA, InstructionShape> ElementA;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typedef</span> Fragment<ElementA, Iterations::kW> FragmentA;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">typedef</span> WmmaMatrix<GemmOperand::kB, kLayoutB_, ScalarB, InstructionShape> ElementB;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">typedef</span> Fragment<ElementB, Iterations::kH> FragmentB;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">typedef</span> WmmaMatrix<GemmOperand::kC, kLayoutC_, ScalarC, InstructionShape> ElementC;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">typedef</span> Fragment<ElementC, Iterations::kH * Iterations::kW> Accumulators;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  CUTLASS_DEVICE WmmaGemmMultiplyAdd() {}</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  CUTLASS_DEVICE <span class="keywordtype">void</span> multiply_add(FragmentA <span class="keyword">const</span>& a,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  FragmentB <span class="keyword">const</span>& b,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  Accumulators <span class="keyword">const</span>& c,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  Accumulators& d) {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < Iterations::kH; ++j) {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < Iterations::kW; ++i) {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// The input elements.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  ElementA <span class="keyword">const</span>& elt_a = a[i];</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  ElementB <span class="keyword">const</span>& elt_b = b[j];</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  ElementC <span class="keyword">const</span>& elt_c = c[j * Iterations::kW + i];</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// The output element.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  ElementC& elt_d = d[j * Iterations::kW + i];</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// The wmma instruction.</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  nvcuda::wmma::mma_sync(elt_d, elt_a, elt_b, elt_c);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="preprocessor">#endif // defined CUTLASS_USE_WMMA_API</span></div><div class="ttc" id="wmma__matrix_8h_html"><div class="ttname"><a href="wmma__matrix_8h.html">wmma_matrix.h</a></div><div class="ttdoc">Abstractions for loading and storing matrices using the CUDA WMMA API. </div></div>
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<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_1ShapeDiv_html_a108ded386ef6708afc6fe769a77a234b"><div class="ttname"><a href="structcutlass_1_1ShapeDiv.html#a108ded386ef6708afc6fe769a77a234b">cutlass::ShapeDiv::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:126</div></div>
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<div class="ttc" id="structcutlass_1_1MatrixLayout_html_a97ef07af21b122c1804245b0c7784d2b"><div class="ttname"><a href="structcutlass_1_1MatrixLayout.html#a97ef07af21b122c1804245b0c7784d2b">cutlass::MatrixLayout::Kind</a></div><div class="ttdeci">Kind</div><div class="ttdef"><b>Definition:</b> matrix_traits.h:36</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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