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<a href="kernel_2gemm__batched_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 name="l00022"></a><span class="lineno"> 22</span>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="include_2cutlass_2gemm_2gemm_8h.html">cutlass/gemm/gemm.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="matrix__coord_8h.html">cutlass/matrix_coord.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span>kernel {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">typename</span> Mma_, </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">typename</span> Epilogue_, </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keyword">typename</span> ThreadblockSwizzle_ </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;&gt;</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html"> 49</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html">GemmBatched</a> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a4365b372cc097b012c0375c612c67f59"> 51</a></span>&#160; <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a4365b372cc097b012c0375c612c67f59">Mma</a> = Mma_;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ac1c2f9222619ba34326932811aeb094c"> 52</a></span>&#160; <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ac1c2f9222619ba34326932811aeb094c">Epilogue</a> = Epilogue_;</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a0d8c1ce66a7349d173bfa6466dd23783"> 53</a></span>&#160; <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a0d8c1ce66a7349d173bfa6466dd23783">OutputOp</a> = <span class="keyword">typename</span> Epilogue::OutputOp;</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#af35405739682d38a889c1604e760b3ca"> 54</a></span>&#160; <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#af35405739682d38a889c1604e760b3ca">ThreadblockSwizzle</a> = ThreadblockSwizzle_;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a726f4f6d7a03e1cad815362f4455d2ec"> 57</a></span>&#160; 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<span class="keyword">typename</span> Mma::IteratorB::TensorRef <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ade55adc311c5561efe76f53ffd56d1f4">ref_B</a>;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a12bcf126432f55fd411cc941899f6b57"> 69</a></span>&#160; int64_t <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a12bcf126432f55fd411cc941899f6b57">stride_B</a>;</div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#abd68830b012c0cb7de5f883d9fbc316c"> 70</a></span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator::Params <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#abd68830b012c0cb7de5f883d9fbc316c">params_C</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a08ecd763b6785dfe872a6e517dc731e6"> 71</a></span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator::TensorRef <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a08ecd763b6785dfe872a6e517dc731e6">ref_C</a>;</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#adff8e7d24a14c10a7c69ef01cadf8ebd"> 72</a></span>&#160; int64_t <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#adff8e7d24a14c10a7c69ef01cadf8ebd">stride_C</a>;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a0a12100dd4dc325a550a50c4b8ec92f5"> 73</a></span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator::Params <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a0a12100dd4dc325a550a50c4b8ec92f5">params_D</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a4f18093b18b0b6dd01a5df0a3813cd40"> 74</a></span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator::TensorRef <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a4f18093b18b0b6dd01a5df0a3813cd40">ref_D</a>;</div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#af9b7634ca043c46300bc1e65e2f4532b"> 75</a></span>&#160; int64_t <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#af9b7634ca043c46300bc1e65e2f4532b">stride_D</a>;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#aa9de86f045ae89ecf844c4397e9e202c"> 76</a></span>&#160; <span class="keyword">typename</span> OutputOp::Params <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#aa9de86f045ae89ecf844c4397e9e202c">epilogue</a>;</div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a7ed96fc1c9cba288ec807736a3ed96e7"> 77</a></span>&#160; <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a7ed96fc1c9cba288ec807736a3ed96e7">batch_count</a>;</div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a6bcb35131d63a9c60ccf4553a23b228d"> 78</a></span>&#160; <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a6bcb35131d63a9c60ccf4553a23b228d">gemm_k_iterations</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// Methods</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; 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<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html">cutlass::gemm::GemmCoord</a> <span class="keyword">const</span> &amp; problem_size_,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html">cutlass::gemm::GemmCoord</a> <span class="keyword">const</span> &amp; grid_tiled_shape_,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">typename</span> Mma::IteratorA::TensorRef ref_A_,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; int64_t stride_A_,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">typename</span> Mma::IteratorB::TensorRef ref_B_,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; int64_t stride_B_,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator::TensorRef ref_C_,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; int64_t stride_C_,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator::TensorRef ref_D_,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; int64_t stride_D_,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keyword">typename</span> OutputOp::Params epilogue_,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordtype">int</span> batch_count_</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; ):</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; problem_size(problem_size_),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; grid_tiled_shape(grid_tiled_shape_),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; params_A(ref_A_.layout()),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; ref_A(ref_A_),</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; stride_A(stride_A_),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; params_B(ref_B_.layout()),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; ref_B(ref_B_),</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; stride_B(stride_B_),</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; params_C(ref_C_.layout()),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; ref_C(ref_C_),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; stride_C(stride_C_),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; params_D(ref_D_.layout()),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; ref_D(ref_D_),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; stride_D(stride_D_),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; epilogue(epilogue_),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; batch_count(batch_count_),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; gemm_k_iterations((problem_size.k() + <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a4365b372cc097b012c0375c612c67f59">Mma</a>::Shape::kK - 1) / <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a4365b372cc097b012c0375c612c67f59">Mma</a>::Shape::kK) {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; };</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html"> 124</a></span>&#160; <span class="keyword">union </span><a class="code" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html">SharedStorage</a> {</div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#ae9f9d72c08cbf031961d95dca828d573"> 125</a></span>&#160; <span class="keyword">typename</span> Mma::SharedStorage <a class="code" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#ae9f9d72c08cbf031961d95dca828d573">main_loop</a>;</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#a12326ac5fd0a306b62aa74ab4e10fd0d"> 126</a></span>&#160; <span class="keyword">typename</span> Epilogue::SharedStorage <a class="code" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#a12326ac5fd0a306b62aa74ab4e10fd0d">epilogue</a>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; };</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="comment">// Methods</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ae01da9be38c69a99e8d09b978b6cd267"> 134</a></span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ae01da9be38c69a99e8d09b978b6cd267">GemmBatched</a>() { } </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; CUTLASS_DEVICE</div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a9545b33639695004a139b977240ad925"> 138</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a9545b33639695004a139b977240ad925">operator()</a>(<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html">Params</a> <span class="keyword">const</span> &amp;params, <a class="code" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html">SharedStorage</a> &amp;shared_storage) {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="comment">// Compute threadblock location</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#af35405739682d38a889c1604e760b3ca">ThreadblockSwizzle</a> threadblock_swizzle;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; 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<span class="keywordflow">return</span>;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="comment">// Each CTA handles multiple batch indices to accommodate limited range of CUDA grid&#39;s Z dimension</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> batch_idx = threadblock_swizzle.get_batch_idx(); </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; batch_idx &lt; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a7ed96fc1c9cba288ec807736a3ed96e7">batch_count</a>; </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; 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thread_idx,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; tb_offset_A);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; iterator_A.add_pointer_offset(params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a0d720a1f454e3fc2c370e4d44c15a66a">stride_A</a> * batch_idx);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keyword">typename</span> Mma::IteratorB iterator_B(</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ae95fc48d5d43cb3061e21b697a5a01b4">params_B</a>,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ade55adc311c5561efe76f53ffd56d1f4">ref_B</a>.data(),</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a05909ba49e633c7eeb0707166c72a4ee">problem_size</a>.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#af8f0abf128e5e0fb74bc81b3560e8110">kn</a>(),</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; thread_idx,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; tb_offset_B);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; iterator_B.add_pointer_offset(params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a12bcf126432f55fd411cc941899f6b57">stride_B</a> * batch_idx);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="comment">// Main loop</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">// Construct thread-scoped matrix multiply </span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordtype">int</span> warp_idx = threadIdx.x / 32;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordtype">int</span> lane_idx = threadIdx.x % 32;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a4365b372cc097b012c0375c612c67f59">Mma</a> mma(shared_storage.<a class="code" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#ae9f9d72c08cbf031961d95dca828d573">main_loop</a>, thread_idx, warp_idx, lane_idx);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keyword">typename</span> Mma::FragmentC accumulators;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; accumulators.clear();</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="comment">// Compute threadblock-scoped matrix multiply-add</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; mma(params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a6bcb35131d63a9c60ccf4553a23b228d">gemm_k_iterations</a>, accumulators, iterator_A, iterator_B, accumulators);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="comment">// Epilogue</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a0d8c1ce66a7349d173bfa6466dd23783">OutputOp</a> output_op(params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#aa9de86f045ae89ecf844c4397e9e202c">epilogue</a>);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="comment">// Masked tile iterators constructed from members</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; threadblock_tile_offset = threadblock_swizzle.get_tile_offset();</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="comment">//assume identity swizzle</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> threadblock_offset(</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; threadblock_tile_offset.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#a93515a41db6c4b7e9101067f60d41b8c">m</a>() * Mma::Shape::kM,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; threadblock_tile_offset.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#a1b29d2cb15360ad5499216859ad5436a">n</a>() * Mma::Shape::kN</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; );</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="comment">// Tile iterator writing to output tile</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator iterator_C(</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#abd68830b012c0cb7de5f883d9fbc316c">params_C</a>,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a08ecd763b6785dfe872a6e517dc731e6">ref_C</a>.data(),</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a05909ba49e633c7eeb0707166c72a4ee">problem_size</a>.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#ad8b9f6a9a69546f7a245e0d9a9296137">mn</a>(),</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; thread_idx,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; threadblock_offset</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; );</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; iterator_C.add_pointer_offset(params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#adff8e7d24a14c10a7c69ef01cadf8ebd">stride_C</a> * batch_idx);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="comment">// Tile iterator writing to output tile</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keyword">typename</span> Epilogue::OutputTileIterator iterator_D(</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a0a12100dd4dc325a550a50c4b8ec92f5">params_D</a>,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a4f18093b18b0b6dd01a5df0a3813cd40">ref_D</a>.data(),</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a05909ba49e633c7eeb0707166c72a4ee">problem_size</a>.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#ad8b9f6a9a69546f7a245e0d9a9296137">mn</a>(),</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; thread_idx,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; threadblock_offset</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; );</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; iterator_D.add_pointer_offset(params.<a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#af9b7634ca043c46300bc1e65e2f4532b">stride_D</a> * batch_idx);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ac1c2f9222619ba34326932811aeb094c">Epilogue</a> <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#aa9de86f045ae89ecf844c4397e9e202c">epilogue</a>(</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; shared_storage.<a class="code" href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#a12326ac5fd0a306b62aa74ab4e10fd0d">epilogue</a>, </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; thread_idx, </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; warp_idx, </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; lane_idx);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; <span class="comment">// run efficient epilogue</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <a class="code" href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#aa9de86f045ae89ecf844c4397e9e202c">epilogue</a>(output_op, iterator_D, accumulators, iterator_C);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;};</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160;} <span class="comment">// namespace kernel</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;} <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;</div><div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_a9545b33639695004a139b977240ad925"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a9545b33639695004a139b977240ad925">cutlass::gemm::kernel::GemmBatched::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(Params const &amp;params, SharedStorage &amp;shared_storage)</div><div class="ttdoc">Executes one GEMM. </div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:138</div></div>
<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_1kernel_1_1GemmBatched_1_1Params_html_a83a5e9c4325affc7e04175d3df448977"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a83a5e9c4325affc7e04175d3df448977">cutlass::gemm::kernel::GemmBatched::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:85</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_a0d8c1ce66a7349d173bfa6466dd23783"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a0d8c1ce66a7349d173bfa6466dd23783">cutlass::gemm::kernel::GemmBatched::OutputOp</a></div><div class="ttdeci">typename Epilogue::OutputOp OutputOp</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:53</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a4f18093b18b0b6dd01a5df0a3813cd40"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a4f18093b18b0b6dd01a5df0a3813cd40">cutlass::gemm::kernel::GemmBatched::Params::ref_D</a></div><div class="ttdeci">Epilogue::OutputTileIterator::TensorRef ref_D</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:74</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html">cutlass::gemm::GemmCoord</a></div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:94</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_ad8b9f6a9a69546f7a245e0d9a9296137"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#ad8b9f6a9a69546f7a245e0d9a9296137">cutlass::gemm::GemmCoord::mn</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord&lt; 2 &gt; mn() const </div><div class="ttdoc">Obtains a Coord&lt;2&gt; from GemmCoord. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:171</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_1kernel_1_1GemmBatched_1_1Params_html_ade55adc311c5561efe76f53ffd56d1f4"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ade55adc311c5561efe76f53ffd56d1f4">cutlass::gemm::kernel::GemmBatched::Params::ref_B</a></div><div class="ttdeci">Mma::IteratorB::TensorRef ref_B</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:68</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_a1b29d2cb15360ad5499216859ad5436a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#a1b29d2cb15360ad5499216859ad5436a">cutlass::gemm::GemmCoord::n</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const &amp; n() const </div><div class="ttdoc">Returns the GEMM N coordinate. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:137</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a6bcb35131d63a9c60ccf4553a23b228d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a6bcb35131d63a9c60ccf4553a23b228d">cutlass::gemm::kernel::GemmBatched::Params::gemm_k_iterations</a></div><div class="ttdeci">int gemm_k_iterations</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:78</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a08ecd763b6785dfe872a6e517dc731e6"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a08ecd763b6785dfe872a6e517dc731e6">cutlass::gemm::kernel::GemmBatched::Params::ref_C</a></div><div class="ttdeci">Epilogue::OutputTileIterator::TensorRef ref_C</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:71</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_ae01da9be38c69a99e8d09b978b6cd267"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ae01da9be38c69a99e8d09b978b6cd267">cutlass::gemm::kernel::GemmBatched::GemmBatched</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE GemmBatched()</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:134</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_ac1c2f9222619ba34326932811aeb094c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#ac1c2f9222619ba34326932811aeb094c">cutlass::gemm::kernel::GemmBatched::Epilogue</a></div><div class="ttdeci">Epilogue_ Epilogue</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:52</div></div>
<div class="ttc" id="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage_html"><div class="ttname"><a href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html">cutlass::gemm::kernel::GemmBatched::SharedStorage</a></div><div class="ttdoc">Shared memory storage structure. </div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:124</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a186903697a8ad274b6ac5416f7976c97"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a186903697a8ad274b6ac5416f7976c97">cutlass::gemm::kernel::GemmBatched::Params::grid_tiled_shape</a></div><div class="ttdeci">cutlass::gemm::GemmCoord grid_tiled_shape</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:63</div></div>
<div class="ttc" id="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage_html_ae9f9d72c08cbf031961d95dca828d573"><div class="ttname"><a href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#ae9f9d72c08cbf031961d95dca828d573">cutlass::gemm::kernel::GemmBatched::SharedStorage::main_loop</a></div><div class="ttdeci">Mma::SharedStorage main_loop</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:125</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_aafddaefa35d27c76a89be8e692005615"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#aafddaefa35d27c76a89be8e692005615">cutlass::gemm::kernel::GemmBatched::kThreadCount</a></div><div class="ttdeci">static int const kThreadCount</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:58</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html">cutlass::gemm::kernel::GemmBatched::Params</a></div><div class="ttdoc">Parameters structure. </div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:61</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_a726f4f6d7a03e1cad815362f4455d2ec"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a726f4f6d7a03e1cad815362f4455d2ec">cutlass::gemm::kernel::GemmBatched::WarpCount</a></div><div class="ttdeci">typename Mma::WarpCount WarpCount</div><div class="ttdoc">Warp count (concept: GemmShape) </div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:57</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a0a12100dd4dc325a550a50c4b8ec92f5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a0a12100dd4dc325a550a50c4b8ec92f5">cutlass::gemm::kernel::GemmBatched::Params::params_D</a></div><div class="ttdeci">Epilogue::OutputTileIterator::Params params_D</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:73</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_abd68830b012c0cb7de5f883d9fbc316c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#abd68830b012c0cb7de5f883d9fbc316c">cutlass::gemm::kernel::GemmBatched::Params::params_C</a></div><div class="ttdeci">Epilogue::OutputTileIterator::Params params_C</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:70</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_aa9de86f045ae89ecf844c4397e9e202c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#aa9de86f045ae89ecf844c4397e9e202c">cutlass::gemm::kernel::GemmBatched::Params::epilogue</a></div><div class="ttdeci">OutputOp::Params epilogue</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:76</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_1kernel_1_1GemmBatched_1_1Params_html_adff8e7d24a14c10a7c69ef01cadf8ebd"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#adff8e7d24a14c10a7c69ef01cadf8ebd">cutlass::gemm::kernel::GemmBatched::Params::stride_C</a></div><div class="ttdeci">int64_t stride_C</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:72</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_a68e79e339f5de2ce79fb90f2ec099233"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#a68e79e339f5de2ce79fb90f2ec099233">cutlass::gemm::GemmCoord::mk</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord&lt; 2 &gt; mk() const </div><div class="ttdoc">Obtains a Coord&lt;2&gt; from GemmCoord. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:177</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_a4365b372cc097b012c0375c612c67f59"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#a4365b372cc097b012c0375c612c67f59">cutlass::gemm::kernel::GemmBatched::Mma</a></div><div class="ttdeci">Mma_ Mma</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:51</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a05909ba49e633c7eeb0707166c72a4ee"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a05909ba49e633c7eeb0707166c72a4ee">cutlass::gemm::kernel::GemmBatched::Params::problem_size</a></div><div class="ttdeci">cutlass::gemm::GemmCoord problem_size</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:62</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a5db93e5cd101892903cf66c7e373e4a0"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a5db93e5cd101892903cf66c7e373e4a0">cutlass::gemm::kernel::GemmBatched::Params::params_A</a></div><div class="ttdeci">Mma::IteratorA::Params params_A</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:64</div></div>
<div class="ttc" id="matrix__coord_8h_html"><div class="ttname"><a href="matrix__coord_8h.html">matrix_coord.h</a></div><div class="ttdoc">Defines a canonical coordinate for rank=2 matrices offering named indices. </div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a7ed96fc1c9cba288ec807736a3ed96e7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a7ed96fc1c9cba288ec807736a3ed96e7">cutlass::gemm::kernel::GemmBatched::Params::batch_count</a></div><div class="ttdeci">int batch_count</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:77</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_ae95fc48d5d43cb3061e21b697a5a01b4"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ae95fc48d5d43cb3061e21b697a5a01b4">cutlass::gemm::kernel::GemmBatched::Params::params_B</a></div><div class="ttdeci">Mma::IteratorB::Params params_B</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:67</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_af8f0abf128e5e0fb74bc81b3560e8110"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#af8f0abf128e5e0fb74bc81b3560e8110">cutlass::gemm::GemmCoord::kn</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord&lt; 2 &gt; kn() const </div><div class="ttdoc">Obtains a Coord&lt;2&gt; from GemmCoord. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:195</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a12bcf126432f55fd411cc941899f6b57"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a12bcf126432f55fd411cc941899f6b57">cutlass::gemm::kernel::GemmBatched::Params::stride_B</a></div><div class="ttdeci">int64_t stride_B</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:69</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_a93515a41db6c4b7e9101067f60d41b8c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#a93515a41db6c4b7e9101067f60d41b8c">cutlass::gemm::GemmCoord::m</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const &amp; m() const </div><div class="ttdoc">Returns the GEMM M coordinate. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:129</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_ad1867c0875c10e6327c7fae16acd35a3"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ad1867c0875c10e6327c7fae16acd35a3">cutlass::gemm::kernel::GemmBatched::Params::ref_A</a></div><div class="ttdeci">Mma::IteratorA::TensorRef ref_A</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:65</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_ab7a37750466da821d24edc3247e7daff"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#ab7a37750466da821d24edc3247e7daff">cutlass::gemm::kernel::GemmBatched::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(cutlass::gemm::GemmCoord const &amp;problem_size_, cutlass::gemm::GemmCoord const &amp;grid_tiled_shape_, typename Mma::IteratorA::TensorRef ref_A_, int64_t stride_A_, typename Mma::IteratorB::TensorRef ref_B_, int64_t stride_B_, typename Epilogue::OutputTileIterator::TensorRef ref_C_, int64_t stride_C_, typename Epilogue::OutputTileIterator::TensorRef ref_D_, int64_t stride_D_, typename OutputOp::Params epilogue_, int batch_count_)</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:88</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_a0d720a1f454e3fc2c370e4d44c15a66a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#a0d720a1f454e3fc2c370e4d44c15a66a">cutlass::gemm::kernel::GemmBatched::Params::stride_A</a></div><div class="ttdeci">int64_t stride_A</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:66</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html">cutlass::gemm::kernel::GemmBatched</a></div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:49</div></div>
<div class="ttc" id="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage_html_a12326ac5fd0a306b62aa74ab4e10fd0d"><div class="ttname"><a href="unioncutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1SharedStorage.html#a12326ac5fd0a306b62aa74ab4e10fd0d">cutlass::gemm::kernel::GemmBatched::SharedStorage::epilogue</a></div><div class="ttdeci">Epilogue::SharedStorage epilogue</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:126</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params_html_af9b7634ca043c46300bc1e65e2f4532b"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_1_1Params.html#af9b7634ca043c46300bc1e65e2f4532b">cutlass::gemm::kernel::GemmBatched::Params::stride_D</a></div><div class="ttdeci">int64_t stride_D</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:75</div></div>
<div class="ttc" id="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched_html_af35405739682d38a889c1604e760b3ca"><div class="ttname"><a href="structcutlass_1_1gemm_1_1kernel_1_1GemmBatched.html#af35405739682d38a889c1604e760b3ca">cutlass::gemm::kernel::GemmBatched::ThreadblockSwizzle</a></div><div class="ttdeci">ThreadblockSwizzle_ ThreadblockSwizzle</div><div class="ttdef"><b>Definition:</b> kernel/gemm_batched.h:54</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>
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