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CUTLASS 2.0 (#62) CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-20 08:55:34 +08:00
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<a href="linear__combination_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="
<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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html">cutlass::epilogue::thread::LinearCombination</a></div><div class="ttdef"><b>Definition:</b> linear_combination.h:56</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_a6cf5c112befa1b3b00415033a8ffa837"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#a6cf5c112befa1b3b00415033a8ffa837">cutlass::epilogue::thread::LinearCombination::kCount</a></div><div class="ttdeci">static int const kCount</div><div class="ttdef"><b>Definition:</b> linear_combination.h:63</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_aebf79db277fc69c1fafae975538f8c57"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#aebf79db277fc69c1fafae975538f8c57">cutlass::epilogue::thread::LinearCombination::Params::alpha</a></div><div class="ttdeci">ElementCompute alpha</div><div class="ttdoc">scales accumulators </div><div class="ttdef"><b>Definition:</b> linear_combination.h:74</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_aabd9260f2a8a1b809864fe20dc3c7553"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#aabd9260f2a8a1b809864fe20dc3c7553">cutlass::epilogue::thread::LinearCombination::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.h:76</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_a01c42c8de4d1092d2e3c2a09eed6c81f"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#a01c42c8de4d1092d2e3c2a09eed6c81f">cutlass::epilogue::thread::LinearCombination::FragmentAccumulator</a></div><div class="ttdeci">Array&lt; ElementAccumulator, kCount &gt; FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination.h:66</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_a4712c7a29f173f909815afae852b13f7"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#a4712c7a29f173f909815afae852b13f7">cutlass::epilogue::thread::LinearCombination::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.h:134</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_ad024cd3ca657233883219177fc2f50af"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#ad024cd3ca657233883219177fc2f50af">cutlass::epilogue::thread::LinearCombination::ComputeFragment</a></div><div class="ttdeci">Array&lt; ElementCompute, kCount &gt; ComputeFragment</div><div class="ttdef"><b>Definition:</b> linear_combination.h:67</div></div>
<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>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_af9dcae5494355aae29c7800883db7c51"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#af9dcae5494355aae29c7800883db7c51">cutlass::epilogue::thread::LinearCombination::kRound</a></div><div class="ttdeci">static FloatRoundStyle const kRound</div><div class="ttdef"><b>Definition:</b> linear_combination.h:69</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_abd94051043a8a58af159ba3dea9009f3"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#abd94051043a8a58af159ba3dea9009f3">cutlass::epilogue::thread::LinearCombination::ElementAccumulator</a></div><div class="ttdeci">ElementAccumulator_ ElementAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination.h:60</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_a68ce9da2c3697fb84e6c7ecc73e9b6cc"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#a68ce9da2c3697fb84e6c7ecc73e9b6cc">cutlass::epilogue::thread::LinearCombination::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentOutput operator()(FragmentAccumulator const &amp;accumulator, FragmentOutput const &amp;source) const </div><div class="ttdoc">Computes linear scaling: D = alpha * accumulator + beta * source. </div><div class="ttdef"><b>Definition:</b> linear_combination.h:142</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_ae7b1b1a70ca9c548fbbd2ab2615c5b4a"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#ae7b1b1a70ca9c548fbbd2ab2615c5b4a">cutlass::epilogue::thread::LinearCombination::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> linear_combination.h:59</div></div>
<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>
<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>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_ad7ac223e67928ea2aa44b64602089e81"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#ad7ac223e67928ea2aa44b64602089e81">cutlass::epilogue::thread::LinearCombination::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> linear_combination.h:84</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_aaeaf8ed9b2ea6256ea8d322985d9bb27"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#aaeaf8ed9b2ea6256ea8d322985d9bb27">cutlass::epilogue::thread::LinearCombination::LinearCombination</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LinearCombination(Params const &amp;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.h:120</div></div>
<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>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_af4d2e889198f2e325cb4f0e3a3832f49"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#af4d2e889198f2e325cb4f0e3a3832f49">cutlass::epilogue::thread::LinearCombination::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute alpha, ElementCompute beta)</div><div class="ttdef"><b>Definition:</b> linear_combination.h:91</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="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>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_aecbeb4d1a8e75feb7ca8079b2a2f862c"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#aecbeb4d1a8e75feb7ca8079b2a2f862c">cutlass::epilogue::thread::LinearCombination::FragmentOutput</a></div><div class="ttdeci">Array&lt; ElementOutput, kCount &gt; FragmentOutput</div><div class="ttdef"><b>Definition:</b> linear_combination.h:65</div></div>
<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>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_a9677cb04e23e9afa9fcdc3f34074bb56"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#a9677cb04e23e9afa9fcdc3f34074bb56">cutlass::epilogue::thread::LinearCombination::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.h:75</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_aa6f2fb0b8fb92a28b4b534c3db7e9430"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#aa6f2fb0b8fb92a28b4b534c3db7e9430">cutlass::epilogue::thread::LinearCombination::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute const *alpha_ptr, ElementCompute const *beta_ptr)</div><div class="ttdef"><b>Definition:</b> linear_combination.h:99</div></div>
<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>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_a19589699072bba9621bbb7667e899e4d"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#a19589699072bba9621bbb7667e899e4d">cutlass::epilogue::thread::LinearCombination::ElementCompute</a></div><div class="ttdeci">ElementCompute_ ElementCompute</div><div class="ttdef"><b>Definition:</b> linear_combination.h:61</div></div>
<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>
<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_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html">cutlass::epilogue::thread::LinearCombination::Params</a></div><div class="ttdoc">Host-constructable parameters structure. </div><div class="ttdef"><b>Definition:</b> linear_combination.h:72</div></div>
<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&lt;T, N&gt;. SIMD-ize where possible...</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination_html_a0c576129fa70b60d7ad81ebbc8b8f22d"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombination.html#a0c576129fa70b60d7ad81ebbc8b8f22d">cutlass::epilogue::thread::LinearCombination::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.h:128</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params_html_a01f730dac9a4500cb857bf4ca272bc7b"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombination_1_1Params.html#a01f730dac9a4500cb857bf4ca272bc7b">cutlass::epilogue::thread::LinearCombination::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.h:77</div></div>
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