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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__clamp_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
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_aea2fbab99575d18490c194b5d3584a31"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#aea2fbab99575d18490c194b5d3584a31">cutlass::epilogue::thread::LinearCombinationClamp::ElementCompute</a></div><div class="ttdeci">ElementCompute_ ElementCompute</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:63</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_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params_html_a11eb2330d28b470366032dd8f549fe33"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#a11eb2330d28b470366032dd8f549fe33">cutlass::epilogue::thread::LinearCombinationClamp::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_clamp.h:77</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params_html_ac8a5fb23021e36af70e41e93e019f83b"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#ac8a5fb23021e36af70e41e93e019f83b">cutlass::epilogue::thread::LinearCombinationClamp::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_clamp.h:101</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params_html_ac1f07947c5ab483d00d479624dbcecf2"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#ac1f07947c5ab483d00d479624dbcecf2">cutlass::epilogue::thread::LinearCombinationClamp::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute alpha, ElementCompute beta)</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:93</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html">cutlass::epilogue::thread::LinearCombinationClamp</a></div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:58</div></div>
<div class="ttc" id="structcutlass_1_1minimum_html"><div class="ttname"><a href="structcutlass_1_1minimum.html">cutlass::minimum</a></div><div class="ttdef"><b>Definition:</b> functional.h:298</div></div>
<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>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a27c80ef3fe591a6903974084dfd59897"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a27c80ef3fe591a6903974084dfd59897">cutlass::epilogue::thread::LinearCombinationClamp::kCount</a></div><div class="ttdeci">static int const kCount</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:65</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a22d4448a6fc26e7a028316157292af9e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a22d4448a6fc26e7a028316157292af9e">cutlass::epilogue::thread::LinearCombinationClamp::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentOutput operator()(FragmentAccumulator const &amp;accumulator, FragmentOutput const &amp;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_clamp.h:144</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params_html_ab19de8ec29f12815e5d558ad3a32ba66"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#ab19de8ec29f12815e5d558ad3a32ba66">cutlass::epilogue::thread::LinearCombinationClamp::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:86</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="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>
<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="structcutlass_1_1sizeof__bits_html"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html">cutlass::sizeof_bits</a></div><div class="ttdoc">Defines the size of an element in bits. </div><div class="ttdef"><b>Definition:</b> numeric_types.h:42</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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a19519a5bdbd6d3f3bc8efa9756ad55b7"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a19519a5bdbd6d3f3bc8efa9756ad55b7">cutlass::epilogue::thread::LinearCombinationClamp::LinearCombinationClamp</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LinearCombinationClamp(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_clamp.h:122</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="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_1LinearCombinationClamp_html_a212e93f8d2c9793d77ec4b679b6c81e6"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a212e93f8d2c9793d77ec4b679b6c81e6">cutlass::epilogue::thread::LinearCombinationClamp::ComputeFragment</a></div><div class="ttdeci">Array&lt; ElementCompute, kCount &gt; ComputeFragment</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:69</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a67b7f18dff7fbdcf16a73381294fc072"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a67b7f18dff7fbdcf16a73381294fc072">cutlass::epilogue::thread::LinearCombinationClamp::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:61</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a3380b95c93bcfdca8df7e7c80a6e4153"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a3380b95c93bcfdca8df7e7c80a6e4153">cutlass::epilogue::thread::LinearCombinationClamp::FragmentOutput</a></div><div class="ttdeci">Array&lt; ElementOutput, kCount &gt; FragmentOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:67</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a918ba358bb3b6e21f4cfd3bd2ce205be"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a918ba358bb3b6e21f4cfd3bd2ce205be">cutlass::epilogue::thread::LinearCombinationClamp::ElementAccumulator</a></div><div class="ttdeci">ElementAccumulator_ ElementAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:62</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_1LinearCombinationClamp_1_1Params_html_adae7ef1a432b24d148df0662954b5bd0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#adae7ef1a432b24d148df0662954b5bd0">cutlass::epilogue::thread::LinearCombinationClamp::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_clamp.h:79</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_ae5224f8df9ab4ca997693b3e91e752e3"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#ae5224f8df9ab4ca997693b3e91e752e3">cutlass::epilogue::thread::LinearCombinationClamp::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_clamp.h:136</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="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="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html">cutlass::epilogue::thread::LinearCombinationClamp::Params</a></div><div class="ttdoc">Host-constructable parameters structure. </div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:74</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_aa794968396e172aa76dcdcc34c8e6c98"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#aa794968396e172aa76dcdcc34c8e6c98">cutlass::epilogue::thread::LinearCombinationClamp::kRound</a></div><div class="ttdeci">static FloatRoundStyle const kRound</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:71</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_a3567f90bb09ece3311af0c28e6784c91"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#a3567f90bb09ece3311af0c28e6784c91">cutlass::epilogue::thread::LinearCombinationClamp::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_clamp.h:130</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_1LinearCombinationClamp_1_1Params_html_a0ddbb24a81370a342d05509bb78f122c"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#a0ddbb24a81370a342d05509bb78f122c">cutlass::epilogue::thread::LinearCombinationClamp::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_clamp.h:78</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="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params_html_a92b42f2498efb637ba4e2eb2bc7710c8"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_1_1Params.html#a92b42f2498efb637ba4e2eb2bc7710c8">cutlass::epilogue::thread::LinearCombinationClamp::Params::alpha</a></div><div class="ttdeci">ElementCompute alpha</div><div class="ttdoc">scales accumulators </div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:76</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp_html_ae610d34d4c9d712222dbff75455589b9"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationClamp.html#ae610d34d4c9d712222dbff75455589b9">cutlass::epilogue::thread::LinearCombinationClamp::FragmentAccumulator</a></div><div class="ttdeci">Array&lt; ElementAccumulator, kCount &gt; FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_clamp.h:68</div></div>
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