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<a href="igemm__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=
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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_1ShapeMul_html_a8875fc5e861339f981360ed774e8cc94"><div class="ttname"><a href="structcutlass_1_1ShapeMul.html#a8875fc5e861339f981360ed774e8cc94">cutlass::ShapeMul::Shape</a></div><div class="ttdeci">Shape< A_::kD *B_::kD, A_::kH *B_::kH, A_::kW *B_::kW, A_::kC *B_::kC > Shape</div><div class="ttdef"><b>Definition:</b> shape.h:119</div></div>
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<div class="ttc" id="structcutlass_1_1Fragment_html"><div class="ttname"><a href="structcutlass_1_1Fragment.html">cutlass::Fragment</a></div><div class="ttdoc">A template defining Fragment Concept. </div><div class="ttdef"><b>Definition:</b> fragment.h:99</div></div>
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<div class="ttc" id="thread__multiply__add_8h_html"><div class="ttname"><a href="thread__multiply__add_8h.html">thread_multiply_add.h</a></div><div class="ttdoc">Template implementing matrix multiply-add operations on fragments. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a4712650b46b6183ea60d79ef18f55b86"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a4712650b46b6183ea60d79ef18f55b86">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::Accumulators</a></div><div class="ttdeci">Fragment< ScalarC, AccumulatorsPerThread::kH *AccumulatorsPerThread::kW > Accumulators</div><div class="ttdoc">The accumulators. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:62</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a327ce1b7b6478c27c80baf5d9e26bdbc"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a327ce1b7b6478c27c80baf5d9e26bdbc">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::AccumulatorsPerWarp</a></div><div class="ttdeci">ShapeMul< AccumulatorsPerThread, ThreadsPerWarp >::Shape AccumulatorsPerWarp</div><div class="ttdoc">The number of accumulators per warp. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:50</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a43e278686b493d0aef943f32a9f47b9e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a43e278686b493d0aef943f32a9f47b9e">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::FragmentB</a></div><div class="ttdeci">Fragment< ScalarB, AccumulatorsPerThread::kH *4 > FragmentB</div><div class="ttdoc">The fragment for B. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:58</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a9b75e499f4c14369b5c86051dceeb81d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a9b75e499f4c14369b5c86051dceeb81d">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::ThreadMultiplyAdd</a></div><div class="ttdeci">CUTLASS_DEVICE ThreadMultiplyAdd()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:65</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_ad73372a37315b0c17a8db21e40a78574"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#ad73372a37315b0c17a8db21e40a78574">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::InstructionShape</a></div><div class="ttdeci">Shape< 4, 1, 1 > InstructionShape</div><div class="ttdoc">The shape of the instruction. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:44</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a5bc98fd196c1f1e4e3f1bfc621df4f50"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a5bc98fd196c1f1e4e3f1bfc621df4f50">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::ThreadsPerWarp</a></div><div class="ttdeci">ThreadsPerWarp_ ThreadsPerWarp</div><div class="ttdoc">The number of threads per warp. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:48</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a47807c9c9fb43e7f7b5f409a49986c30"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a47807c9c9fb43e7f7b5f409a49986c30">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::AccumulatorsPerThread</a></div><div class="ttdeci">AccumulatorsPerThread_ AccumulatorsPerThread</div><div class="ttdoc">The number of accumulators per thread. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:46</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_1ThreadMultiplyAdd_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd.html">cutlass::gemm::ThreadMultiplyAdd</a></div><div class="ttdoc">Template performing matrix multiply-add operation within a thread. </div><div class="ttdef"><b>Definition:</b> thread_multiply_add.h:43</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_a71aadbb130d4b1a6532c45282b37354f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#a71aadbb130d4b1a6532c45282b37354f">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::FragmentA</a></div><div class="ttdeci">Fragment< ScalarA, AccumulatorsPerThread::kW *4 > FragmentA</div><div class="ttdoc">The fragment for A. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:54</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_acdd554e996a712ff62eb70d6ecf8e116"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#acdd554e996a712ff62eb70d6ecf8e116">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::ScalarC</a></div><div class="ttdeci">int ScalarC</div><div class="ttdoc">The type for C and D. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:60</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_aaf9e4b8b16150a6ad826c228af2bf103"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#aaf9e4b8b16150a6ad826c228af2bf103">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::ScalarB</a></div><div class="ttdeci">int8_t ScalarB</div><div class="ttdoc">The type for B. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:56</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6_html_ad22dd143c304c22c2630aedbfd3459af"><div class="ttname"><a href="structcutlass_1_1gemm_1_1ThreadMultiplyAdd_3_01AccumulatorsPerThread___00_01ThreadsPerWarp___00_f5353db950bbf0023472029cac4814b6.html#ad22dd143c304c22c2630aedbfd3459af">cutlass::gemm::ThreadMultiplyAdd< AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int >::multiply_add</a></div><div class="ttdeci">CUTLASS_DEVICE void multiply_add(FragmentA const &a, FragmentB const &b, Accumulators const &c, Accumulators &d)</div><div class="ttdoc">Multiply : d = a*b + c. </div><div class="ttdef"><b>Definition:</b> igemm_multiply_add.h:68</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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