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<a href="linear__scaling_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> </div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> *</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</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="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</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="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</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="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</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="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</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="l00021"></a><span class="lineno"> 21</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="l00022"></a><span class="lineno"> 22</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="l00023"></a><span class="lineno"> 23</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> *</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <<a class="code" href="fragment__multiply__add_8h.html">cutlass/fragment_multiply_add.h</a>></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar_, <span class="keyword">typename</span> FragmentMultiplyAdd_ = FragmentMultiplyAdd<Scalar_> ></div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html"> 40</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html">LinearScaling</a> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// The scalar.</span></div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183"> 42</a></span>  <span class="keyword">typedef</span> Scalar_ <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// The adapater.</span></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8"> 44</a></span>  <span class="keyword">typedef</span> FragmentMultiplyAdd_ <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">FragmentMultiplyAdd</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html"> 47</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">Params</a> {</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b"> 49</a></span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a>, <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> GemmDesc_></div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a4946e45e10661307f562b27bad5cb72d"> 53</a></span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a4946e45e10661307f562b27bad5cb72d">initialize</a>(GemmDesc_ <span class="keyword">const</span>& desc) {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">alpha</a> = desc.alpha;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">beta</a> = desc.beta;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  };</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a34df6970f033b3090ad8f4d40063b1b2"> 61</a></span>  CUTLASS_DEVICE <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a34df6970f033b3090ad8f4d40063b1b2">LinearScaling</a>(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">Params</a> <span class="keyword">const</span>& params) : <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ab9c51c8b1f06e935a353ac5b1c22cee6">alpha</a>(params.<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ab9c51c8b1f06e935a353ac5b1c22cee6">alpha</a>), <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a8af4e58c4988838f2dd0a2172c47e12e">beta</a>(params.<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a8af4e58c4988838f2dd0a2172c47e12e">beta</a>) {}</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> Fragment_></div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a2e0d140aed388d2457dfb24d28fcd08a"> 65</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a2e0d140aed388d2457dfb24d28fcd08a">evaluate</a>(Fragment_ <span class="keyword">const</span>& accum, Fragment_& output) {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">FragmentMultiplyAdd</a> mad;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  mad.multiply(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ab9c51c8b1f06e935a353ac5b1c22cee6">alpha</a>, accum, output);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> Fragment_></div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a47a53e5b67b2207fb3ba38a8b9cef448"> 72</a></span>  CUTLASS_DEVICE <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a47a53e5b67b2207fb3ba38a8b9cef448">evaluate</a>(Fragment_ <span class="keyword">const</span>& accum, Fragment_ <span class="keyword">const</span>& old, Fragment_& output) {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">FragmentMultiplyAdd</a> mad;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  Fragment_ tmp;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  mad.multiply(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a8af4e58c4988838f2dd0a2172c47e12e">beta</a>, old, tmp);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  mad.multiply_add(<a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ab9c51c8b1f06e935a353ac5b1c22cee6">alpha</a>, accum, tmp, output);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1LinearScaling.html#a8af4e58c4988838f2dd0a2172c47e12e"> 80</a></span>  <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">Scalar</a> <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#ab9c51c8b1f06e935a353ac5b1c22cee6">alpha</a>, <a class="code" href="structcutlass_1_1gemm_1_1LinearScaling.html#a8af4e58c4988838f2dd0a2172c47e12e">beta</a>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> };</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> convert.h:33</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_a3248d6b3d9bcc59365d582b879292a70"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a3248d6b3d9bcc59365d582b879292a70">cutlass::gemm::LinearScaling::Params::alpha</a></div><div class="ttdeci">Scalar alpha</div><div class="ttdoc">The alpha/beta scaling params. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:49</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_ab9c51c8b1f06e935a353ac5b1c22cee6"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#ab9c51c8b1f06e935a353ac5b1c22cee6">cutlass::gemm::LinearScaling::alpha</a></div><div class="ttdeci">Scalar alpha</div><div class="ttdoc">The alpha/beta scaling factors. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:80</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a34df6970f033b3090ad8f4d40063b1b2"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a34df6970f033b3090ad8f4d40063b1b2">cutlass::gemm::LinearScaling::LinearScaling</a></div><div class="ttdeci">CUTLASS_DEVICE LinearScaling(Params const &params)</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:61</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a47a53e5b67b2207fb3ba38a8b9cef448"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a47a53e5b67b2207fb3ba38a8b9cef448">cutlass::gemm::LinearScaling::evaluate</a></div><div class="ttdeci">CUTLASS_DEVICE void evaluate(Fragment_ const &accum, Fragment_ const &old, Fragment_ &output)</div><div class="ttdoc">Evaluate the functor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:72</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_a0e455ad2e4eba67259867f9123ca817b"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a0e455ad2e4eba67259867f9123ca817b">cutlass::gemm::LinearScaling::Params::beta</a></div><div class="ttdeci">Scalar beta</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:49</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html_a4946e45e10661307f562b27bad5cb72d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html#a4946e45e10661307f562b27bad5cb72d">cutlass::gemm::LinearScaling::Params::initialize</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int initialize(GemmDesc_ const &desc)</div><div class="ttdoc">Initialize the parameters. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:53</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a8af4e58c4988838f2dd0a2172c47e12e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a8af4e58c4988838f2dd0a2172c47e12e">cutlass::gemm::LinearScaling::beta</a></div><div class="ttdeci">Scalar beta</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:80</div></div>
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<div class="ttc" id="fragment__multiply__add_8h_html"><div class="ttname"><a href="fragment__multiply__add_8h.html">fragment_multiply_add.h</a></div><div class="ttdoc">Defines multiply-add operations on fragments within a thread. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_aa697d4eaced1ef08247aeb1fcc0f0ea8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#aa697d4eaced1ef08247aeb1fcc0f0ea8">cutlass::gemm::LinearScaling::FragmentMultiplyAdd</a></div><div class="ttdeci">FragmentMultiplyAdd_ FragmentMultiplyAdd</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:44</div></div>
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<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:46</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_a2e0d140aed388d2457dfb24d28fcd08a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#a2e0d140aed388d2457dfb24d28fcd08a">cutlass::gemm::LinearScaling::evaluate</a></div><div class="ttdeci">CUTLASS_DEVICE void evaluate(Fragment_ const &accum, Fragment_ &output)</div><div class="ttdoc">Evaluate the functor. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:65</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling_1_1Params.html">cutlass::gemm::LinearScaling::Params</a></div><div class="ttdoc">The parameters. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:47</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html">cutlass::gemm::LinearScaling</a></div><div class="ttdoc">Functor to compute linear combination of fragments. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:40</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1LinearScaling_html_ae6b053ca059932f7c0d3c99243854183"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html#ae6b053ca059932f7c0d3c99243854183">cutlass::gemm::LinearScaling::Scalar</a></div><div class="ttdeci">Scalar_ Scalar</div><div class="ttdef"><b>Definition:</b> linear_scaling.h:42</div></div>
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