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<a href="fragment__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"><a class="line" href="namespacecutlass_1_1gemm.html"> 33</a></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="l00037"></a><span class="lineno"> 37</span> <span class="keyword">template</span> < <span class="keyword">typename</span> ScalarAlphaBeta_, </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">typename</span> ScalarAccum_, </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordtype">bool</span> fragMul2 = <span class="keyword">true</span> <span class="comment">/*number of element per fragment is multiple of 2*/</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> ></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html"> 41</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html">FragmentMultiplyAdd</a> {</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aa101be5d45e2be54bb4056517b6d5e76"> 43</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_1FragmentMultiplyAdd.html#aa101be5d45e2be54bb4056517b6d5e76">InstructionShape</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322"> 45</a></span>  <span class="keyword">typedef</span> ScalarAlphaBeta_ <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">ScalarAlphaBeta</a>;</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#a1e854c281072db280ae90c2569b5f64c"> 47</a></span>  <span class="keyword">typedef</span> ScalarAccum_ <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#a1e854c281072db280ae90c2569b5f64c">ScalarAccum</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#ae1fbd0fd103deda51208102f15f896ed"> 50</a></span>  CUTLASS_DEVICE <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#ae1fbd0fd103deda51208102f15f896ed">FragmentMultiplyAdd</a>() {}</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> FragmentB_, <span class="keyword">typename</span> FragmentCd_></div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#a934c0d74c70fc87796ecb5cde50fd516"> 54</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#a934c0d74c70fc87796ecb5cde50fd516">multiply</a>(<a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">ScalarAlphaBeta</a> a, FragmentB_ <span class="keyword">const</span>& b, FragmentCd_& d) {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#if defined(__CUDACC__) && __CUDA_ARCH__ >= 530</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kReduction = FragmentB_::kElements / FragmentCd_::kElements;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < FragmentCd_::kElements; ++j) {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  d[j] = b[j * kReduction + 0];</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 1; k < kReduction; ++k) {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  d[j] += b[j * kReduction + k];</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  d[j] = a * <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">ScalarAlphaBeta</a>(d[j]);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> FragmentB_, <span class="keyword">typename</span> FragmentCd_></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aafa37c2e1ffd2f7d7031c24c732157d8"> 69</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aafa37c2e1ffd2f7d7031c24c732157d8">multiply_add</a>(<a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">ScalarAlphaBeta</a> a,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  FragmentB_ <span class="keyword">const</span>& b,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  FragmentCd_ <span class="keyword">const</span>& c,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  FragmentCd_& d) {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor">#if defined(__CUDACC__) && __CUDA_ARCH__ >= 530</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kReduction = FragmentB_::kElements / FragmentCd_::kElements;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < FragmentCd_::kElements; ++j) {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  d[j] = b[j * kReduction + 0];</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 1; k < kReduction; ++k) {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  d[j] += b[j * kReduction + k];</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  d[j] = a * <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">ScalarAlphaBeta</a>(d[j]) + <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">ScalarAlphaBeta</a>(c[j]);</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> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> };</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </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> <span class="preprocessor">#if !defined(__CUDACC_RTC__) || defined(CUTLASS_NVRTC_HAS_FP16)</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html"> 90</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html">FragmentMultiplyAdd</a><half, half, true> {</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a7d83cf5bde360251a252c6e728ea80ff"> 92</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_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a7d83cf5bde360251a252c6e728ea80ff">InstructionShape</a>;</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ae7a333f7aa3f52226c76cec9d2da042d"> 94</a></span>  <span class="keyword">typedef</span> half <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ae7a333f7aa3f52226c76cec9d2da042d">ScalarAlphaBeta</a>;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ab3774e6aa28266b25e3822fc9e72edc2"> 96</a></span>  <span class="keyword">typedef</span> half <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ab3774e6aa28266b25e3822fc9e72edc2">ScalarAccum</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ad35b57b3f0cf5a467a1b0e48cffc3061"> 99</a></span>  CUTLASS_DEVICE <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ad35b57b3f0cf5a467a1b0e48cffc3061">FragmentMultiplyAdd</a>() {}</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> FragmentB_, <span class="keyword">typename</span> FragmentCd_></div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a6bed70e7074931419e9441688aee00ea"> 103</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a6bed70e7074931419e9441688aee00ea">multiply</a>(half a, FragmentB_ <span class="keyword">const</span>& b, FragmentCd_& d) {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#if defined(__CUDACC__) && __CUDA_ARCH__ >= 530</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// The input.</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  __half2 <span class="keyword">const</span>* b_half2 = <span class="keyword">reinterpret_cast<</span>__half2 const*<span class="keyword">></span>(&b[0]);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// The output.</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  __half2* d_half2 = <span class="keyword">reinterpret_cast<</span>__half2*<span class="keyword">></span>(&d[0]);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Assemble a half2 from a.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  __half2 <span class="keyword">const</span> a_half2 = __half2half2(a);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kReduction = (FragmentB_::kElements / FragmentCd_::kElements);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < FragmentCd_::kElements / 2; ++j) {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  d_half2[j] = __hmul2(a_half2, b_half2[j * kReduction + 0]);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 1; k < kReduction; ++k) {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  d_half2[j] = __hfma2(a_half2, b_half2[j * kReduction + k], d_half2[j]);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> FragmentB_, <span class="keyword">typename</span> FragmentCd_></div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a92edee5611d25b60cdab6a1c8e32141f"> 128</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a92edee5611d25b60cdab6a1c8e32141f">multiply_add</a>(half a,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  FragmentB_ <span class="keyword">const</span>& b,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  FragmentCd_ <span class="keyword">const</span>& c,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  FragmentCd_& d) {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#if defined(__CUDACC__) && __CUDA_ARCH__ >= 530</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// The inputs.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  __half2 <span class="keyword">const</span>* b_half2 = <span class="keyword">reinterpret_cast<</span>__half2 const*<span class="keyword">></span>(&b[0]);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  __half2 <span class="keyword">const</span>* c_half2 = <span class="keyword">reinterpret_cast<</span>__half2 const*<span class="keyword">></span>(&c[0]);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// The output.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  __half2* d_half2 = <span class="keyword">reinterpret_cast<</span>__half2*<span class="keyword">></span>(&d[0]);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Assemble a half2 from a.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  __half2 <span class="keyword">const</span> a_half2 = __half2half2(a);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kReduction = (FragmentB_::kElements / FragmentCd_::kElements);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < FragmentCd_::kElements / 2; ++j) {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  d_half2[j] = __hfma2(a_half2, b_half2[j * kReduction + 0], c_half2[j]);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 1; k < kReduction; ++k) {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  d_half2[j] = __hfma2(a_half2, b_half2[j * kReduction + k], d_half2[j]);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> };</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html_a934c0d74c70fc87796ecb5cde50fd516"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#a934c0d74c70fc87796ecb5cde50fd516">cutlass::gemm::FragmentMultiplyAdd::multiply</a></div><div class="ttdeci">CUTLASS_DEVICE void multiply(ScalarAlphaBeta a, FragmentB_ const &b, FragmentCd_ &d)</div><div class="ttdoc">Multiply : d = a*b. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:54</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4_html_a7d83cf5bde360251a252c6e728ea80ff"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a7d83cf5bde360251a252c6e728ea80ff">cutlass::gemm::FragmentMultiplyAdd< half, half, true >::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> fragment_multiply_add.h:92</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_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4_html_ae7a333f7aa3f52226c76cec9d2da042d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ae7a333f7aa3f52226c76cec9d2da042d">cutlass::gemm::FragmentMultiplyAdd< half, half, true >::ScalarAlphaBeta</a></div><div class="ttdeci">half ScalarAlphaBeta</div><div class="ttdoc">The type for alpha and beta. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:94</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html_ae1fbd0fd103deda51208102f15f896ed"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#ae1fbd0fd103deda51208102f15f896ed">cutlass::gemm::FragmentMultiplyAdd::FragmentMultiplyAdd</a></div><div class="ttdeci">CUTLASS_DEVICE FragmentMultiplyAdd()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:50</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4_html_ad35b57b3f0cf5a467a1b0e48cffc3061"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ad35b57b3f0cf5a467a1b0e48cffc3061">cutlass::gemm::FragmentMultiplyAdd< half, half, true >::FragmentMultiplyAdd</a></div><div class="ttdeci">CUTLASS_DEVICE FragmentMultiplyAdd()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:99</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4_html_a6bed70e7074931419e9441688aee00ea"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a6bed70e7074931419e9441688aee00ea">cutlass::gemm::FragmentMultiplyAdd< half, half, true >::multiply</a></div><div class="ttdeci">CUTLASS_DEVICE void multiply(half a, FragmentB_ const &b, FragmentCd_ &d)</div><div class="ttdoc">Multiply : d = a*b. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:103</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html_a1e854c281072db280ae90c2569b5f64c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#a1e854c281072db280ae90c2569b5f64c">cutlass::gemm::FragmentMultiplyAdd::ScalarAccum</a></div><div class="ttdeci">ScalarAccum_ ScalarAccum</div><div class="ttdoc">The type for accumlator. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:47</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="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html_aea565efe23b7a5c17eeab5e8cd0d1322"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aea565efe23b7a5c17eeab5e8cd0d1322">cutlass::gemm::FragmentMultiplyAdd::ScalarAlphaBeta</a></div><div class="ttdeci">ScalarAlphaBeta_ ScalarAlphaBeta</div><div class="ttdoc">The type for alpha and beta. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:45</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4_html_a92edee5611d25b60cdab6a1c8e32141f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#a92edee5611d25b60cdab6a1c8e32141f">cutlass::gemm::FragmentMultiplyAdd< half, half, true >::multiply_add</a></div><div class="ttdeci">CUTLASS_DEVICE void multiply_add(half a, FragmentB_ const &b, FragmentCd_ const &c, FragmentCd_ &d)</div><div class="ttdoc">Multiply : d = a*b + c. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:128</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html_aa101be5d45e2be54bb4056517b6d5e76"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aa101be5d45e2be54bb4056517b6d5e76">cutlass::gemm::FragmentMultiplyAdd::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> fragment_multiply_add.h:43</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_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4_html_ab3774e6aa28266b25e3822fc9e72edc2"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_3_01half_00_01half_00_01true_01_4.html#ab3774e6aa28266b25e3822fc9e72edc2">cutlass::gemm::FragmentMultiplyAdd< half, half, true >::ScalarAccum</a></div><div class="ttdeci">half ScalarAccum</div><div class="ttdoc">The type for accumlator. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:96</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html_aafa37c2e1ffd2f7d7031c24c732157d8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html#aafa37c2e1ffd2f7d7031c24c732157d8">cutlass::gemm::FragmentMultiplyAdd::multiply_add</a></div><div class="ttdeci">CUTLASS_DEVICE void multiply_add(ScalarAlphaBeta a, FragmentB_ const &b, FragmentCd_ const &c, FragmentCd_ &d)</div><div class="ttdoc">Multiply : d = a*b + c. </div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:69</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1FragmentMultiplyAdd_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1FragmentMultiplyAdd.html">cutlass::gemm::FragmentMultiplyAdd</a></div><div class="ttdef"><b>Definition:</b> fragment_multiply_add.h:41</div></div>
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