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<a href="linear__combination__relu_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) 2017-2019, 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
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a93c794d586c7d0a6054a24db70490539"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a93c794d586c7d0a6054a24db70490539">cutlass::epilogue::thread::LinearCombinationRelu::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentOutput operator()(FragmentAccumulator const &accumulator, FragmentOutput const &source, ElementCompute uniform=ElementCompute(0)) const </div><div class="ttdoc">Computes linear scaling: D = alpha * accumulator + beta * source. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:150</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_aab0a1bf972d12ad08acec38f10702bf0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#aab0a1bf972d12ad08acec38f10702bf0">cutlass::epilogue::thread::LinearCombinationRelu::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:87</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> aligned_buffer.h:35</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a1f25f8df366d33bc4b256c92869ec20e"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a1f25f8df366d33bc4b256c92869ec20e">cutlass::epilogue::thread::LinearCombinationRelu::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute const *alpha_ptr, ElementCompute const *beta_ptr, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:104</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a7f3cb135884b5ef89bdef997159a3844"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a7f3cb135884b5ef89bdef997159a3844">cutlass::epilogue::thread::LinearCombinationRelu::Params::beta</a></div><div class="ttdeci">ElementCompute beta</div><div class="ttdoc">scales source tensor </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:77</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_abd772185bd19b9d2ed08aa0d1344581c"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abd772185bd19b9d2ed08aa0d1344581c">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute alpha, ElementCompute beta, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:233</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a14bfd5ef175cf1d0242cc3a3c28e130d"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a14bfd5ef175cf1d0242cc3a3c28e130d">cutlass::epilogue::thread::LinearCombinationRelu::FragmentOutput</a></div><div class="ttdeci">Array< ElementOutput, kCount > FragmentOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:67</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a37cb96ec3a7e16d88dc7402cd5246ce1"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a37cb96ec3a7e16d88dc7402cd5246ce1">cutlass::epilogue::thread::LinearCombinationRelu::FragmentAccumulator</a></div><div class="ttdeci">Array< ElementAccumulator, kCount > FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:68</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_a3b26637eb910d79d8ae6a79011ca85e3"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a3b26637eb910d79d8ae6a79011ca85e3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::beta_ptr</a></div><div class="ttdeci">ElementCompute const * beta_ptr</div><div class="ttdoc">pointer to source scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:218</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html">cutlass::epilogue::thread::LinearCombinationRelu</a></div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:58</div></div>
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<div class="ttc" id="structcutlass_1_1maximum_html"><div class="ttname"><a href="structcutlass_1_1maximum.html">cutlass::maximum</a></div><div class="ttdef"><b>Definition:</b> functional.h:235</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a2dfa5dc3c851915d39d27bf6b4cc68e6"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a2dfa5dc3c851915d39d27bf6b4cc68e6">cutlass::epilogue::thread::LinearCombinationRelu::Params::beta_ptr</a></div><div class="ttdeci">ElementCompute const * beta_ptr</div><div class="ttdoc">pointer to source scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:80</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_acca75dd2a19169f68aaaa9b84ffbb8b1"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#acca75dd2a19169f68aaaa9b84ffbb8b1">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::LinearCombinationRelu</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LinearCombinationRelu(Params const &params)</div><div class="ttdoc">Constructs the function object, possibly loading from pointers in host memory. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:265</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a21856d54ce2247edfc696b475ffa7a11"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">cutlass::epilogue::thread::LinearCombinationRelu::ElementCompute</a></div><div class="ttdeci">ElementCompute_ ElementCompute</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:63</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a07d86a5da0dc3c7f1ab4859591ecd61e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a07d86a5da0dc3c7f1ab4859591ecd61e">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::set_k_partition</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void set_k_partition(int k_partition)</div><div class="ttdoc">Functionally required for serial reduction in the epilogue. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:280</div></div>
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<div class="ttc" id="numeric__conversion_8h_html"><div class="ttname"><a href="numeric__conversion_8h.html">numeric_conversion.h</a></div><div class="ttdoc">Boost-like numeric conversion operator for CUTLASS numeric types. </div></div>
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<div class="ttc" id="platform_8h_html_ab979d9d4b4923f7c54d6caa6e1a61936"><div class="ttname"><a href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a></div><div class="ttdeci">#define nullptr</div><div class="ttdoc">nullptr </div><div class="ttdef"><b>Definition:</b> platform.h:144</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_a4a225cb1f8a09c643a8016024ccbf6cb"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a4a225cb1f8a09c643a8016024ccbf6cb">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::alpha</a></div><div class="ttdeci">ElementCompute alpha</div><div class="ttdoc">scales accumulators </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:214</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_ae060fd9c16f95f086ff7f784ce40a7e2"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ae060fd9c16f95f086ff7f784ce40a7e2">cutlass::epilogue::thread::LinearCombinationRelu::LinearCombinationRelu</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LinearCombinationRelu(Params const &params)</div><div class="ttdoc">Constructs the function object, possibly loading from pointers in host memory. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:127</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_af607bd78ed05e98af8dfe0c413e25091"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#af607bd78ed05e98af8dfe0c413e25091">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::beta</a></div><div class="ttdeci">ElementCompute beta</div><div class="ttdoc">scales source tensor </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:215</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_af7df6ba63892ee5b7c7f96866e7865ce"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#af7df6ba63892ee5b7c7f96866e7865ce">cutlass::epilogue::thread::LinearCombinationRelu::Params::threshold</a></div><div class="ttdeci">ElementCompute threshold</div><div class="ttdoc">Relu threshold. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:78</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a8b815a6cf10f37160ce763030a81a2e0"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a8b815a6cf10f37160ce763030a81a2e0">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::FragmentOutput</a></div><div class="ttdeci">Array< ElementOutput, kCount > FragmentOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:205</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_afcaa9ef1be508e3dd08a530266cb346f"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#afcaa9ef1be508e3dd08a530266cb346f">cutlass::epilogue::thread::LinearCombinationRelu::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute alpha, ElementCompute beta, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:95</div></div>
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<div class="ttc" id="structcutlass_1_1multiplies_html"><div class="ttname"><a href="structcutlass_1_1multiplies.html">cutlass::multiplies</a></div><div class="ttdef"><b>Definition:</b> functional.h:64</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:89</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a80f6b354f863f10380365994ba0a08ee"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a80f6b354f863f10380365994ba0a08ee">cutlass::epilogue::thread::LinearCombinationRelu::kRound</a></div><div class="ttdeci">static FloatRoundStyle const kRound</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:71</div></div>
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<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a54909b2fb614bf006572ceb79a264d05"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05">cutlass::epilogue::thread::LinearCombinationRelu::ComputeFragment</a></div><div class="ttdeci">Array< ElementCompute, kCount > ComputeFragment</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:69</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_aa630c8bf7a182a49159fc270ebd0f938"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#aa630c8bf7a182a49159fc270ebd0f938">cutlass::epilogue::thread::LinearCombinationRelu::set_k_partition</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void set_k_partition(int k_partition)</div><div class="ttdoc">Functionally required for serial reduction in the epilogue. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:142</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_ab4301431271a1a57a51904b8c00584b2"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#ab4301431271a1a57a51904b8c00584b2">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:225</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a2690ec31dbbcb0b647a4c1846d171ef6"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ComputeFragment</a></div><div class="ttdeci">Array< ElementCompute, kCount > ComputeFragment</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:207</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a4193c0aa3bf0a51bd7e13963d11fedbb"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a4193c0aa3bf0a51bd7e13963d11fedbb">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:199</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_af360ea56761af5fe2904ad1d7ff799c3"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#af360ea56761af5fe2904ad1d7ff799c3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::is_source_needed</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool is_source_needed() const </div><div class="ttdoc">Returns true if source is needed. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:274</div></div>
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<div class="ttc" id="namespacecutlass_html_aabe6b8ce223bf05f65a4721a3f5447a6a280b2492e1afdb76d63ad6a4cd4f38d7"><div class="ttname"><a href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6a280b2492e1afdb76d63ad6a4cd4f38d7">cutlass::FloatRoundStyle::round_to_nearest</a></div><div class="ttdoc">round to nearest even </div></div>
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<div class="ttc" id="namespacecutlass_html_aabe6b8ce223bf05f65a4721a3f5447a6"><div class="ttname"><a href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6">cutlass::FloatRoundStyle</a></div><div class="ttdeci">FloatRoundStyle</div><div class="ttdef"><b>Definition:</b> numeric_conversion.h:43</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_aa4d227d5db2999f4738a207183fc4fc3"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#aa4d227d5db2999f4738a207183fc4fc3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::alpha_ptr</a></div><div class="ttdeci">ElementCompute const * alpha_ptr</div><div class="ttdoc">pointer to accumulator scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:217</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_abe3bc8635de57a97da921f89eb224368"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abe3bc8635de57a97da921f89eb224368">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute const *alpha_ptr, ElementCompute const *beta_ptr, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:242</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_a80fba095fb3207fba9c9964b8ba64ee3"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a80fba095fb3207fba9c9964b8ba64ee3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::threshold</a></div><div class="ttdeci">ElementCompute threshold</div><div class="ttdoc">Relu threshold. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:216</div></div>
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<div class="ttc" id="structcutlass_1_1NumericArrayConverter_html"><div class="ttname"><a href="structcutlass_1_1NumericArrayConverter.html">cutlass::NumericArrayConverter</a></div><div class="ttdoc">Conversion operator for Array. </div><div class="ttdef"><b>Definition:</b> numeric_conversion.h:294</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a48d23248d58b6f7b5aa6aae7cd66afa0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a48d23248d58b6f7b5aa6aae7cd66afa0">cutlass::epilogue::thread::LinearCombinationRelu::Params::alpha</a></div><div class="ttdeci">ElementCompute alpha</div><div class="ttdoc">scales accumulators </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:76</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a0aecd1e678b3d3c06bb80a9c4f795ad9"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a0aecd1e678b3d3c06bb80a9c4f795ad9">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ElementAccumulator</a></div><div class="ttdeci">int ElementAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:200</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a09d862a9adfbcdceb8bc45ffc8b1093b"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ElementCompute</a></div><div class="ttdeci">float ElementCompute</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:201</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_ad1acf74be026cb3f6165ae02d779ddd4"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ad1acf74be026cb3f6165ae02d779ddd4">cutlass::epilogue::thread::LinearCombinationRelu::ElementAccumulator</a></div><div class="ttdeci">ElementAccumulator_ ElementAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:62</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a6ba2de177b25375afc33043d665a5114"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a6ba2de177b25375afc33043d665a5114">cutlass::epilogue::thread::LinearCombinationRelu::is_source_needed</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool is_source_needed() const </div><div class="ttdoc">Returns true if source is needed. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:136</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_abb3916aa0408eb67e72809ccd80e03a5"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#abb3916aa0408eb67e72809ccd80e03a5">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentOutput operator()(FragmentAccumulator const &accumulator, FragmentOutput const &source, ElementCompute uniform=ElementCompute(0)) const </div><div class="ttdoc">Computes linear scaling: D = alpha * accumulator + beta * source. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:288</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a70f9d8e1eef1ab9f67168af75442dfd9"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a70f9d8e1eef1ab9f67168af75442dfd9">cutlass::epilogue::thread::LinearCombinationRelu::kCount</a></div><div class="ttdeci">static int const kCount</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:65</div></div>
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<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>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a6c266e54081c08d25f4d6832ca24e673"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a6c266e54081c08d25f4d6832ca24e673">cutlass::epilogue::thread::LinearCombinationRelu::Params::alpha_ptr</a></div><div class="ttdeci">ElementCompute const * alpha_ptr</div><div class="ttdoc">pointer to accumulator scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:79</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a1a98738c911a0fdc60933b43075e87ed"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1a98738c911a0fdc60933b43075e87ed">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::FragmentAccumulator</a></div><div class="ttdeci">Array< ElementAccumulator, kCount > FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:206</div></div>
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<div class="ttc" id="functional_8h_html"><div class="ttname"><a href="functional_8h.html">functional.h</a></div><div class="ttdoc">Define basic numeric operators with specializations for Array<T, N>. SIMD-ize where possible...</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html">cutlass::epilogue::thread::LinearCombinationRelu::Params</a></div><div class="ttdoc">Host-constructable parameters structure. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:74</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_acb1b391e1c4d1573622cb7ee108d74d7"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#acb1b391e1c4d1573622cb7ee108d74d7">cutlass::epilogue::thread::LinearCombinationRelu::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:61</div></div>
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