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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="conversion__op_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="l0002
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_ac7ec0a00e5863dc06f4d99477fd5c056"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#ac7ec0a00e5863dc06f4d99477fd5c056">cutlass::epilogue::thread::Convert::Convert</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Convert(Params const &amp;params=Params())</div><div class="ttdoc">Constructs the function object, possibly loading from pointers in host memory. </div><div class="ttdef"><b>Definition:</b> conversion_op.h:83</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_a1f6d13cc82035c3427f0a9367f35f18b"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a1f6d13cc82035c3427f0a9367f35f18b">cutlass::epilogue::thread::Convert::ComputeFragment</a></div><div class="ttdeci">FragmentAccumulator ComputeFragment</div><div class="ttdef"><b>Definition:</b> conversion_op.h:64</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="platform_8h_html_a72f0657181cca64b44eb186b707eb380"><div class="ttname"><a href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a></div><div class="ttdeci">#define constexpr</div><div class="ttdef"><b>Definition:</b> platform.h:137</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_a7dc10ee38d2433e1e0d5cb4edac38a42"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a7dc10ee38d2433e1e0d5cb4edac38a42">cutlass::epilogue::thread::Convert::is_source_needed</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE constexpr bool is_source_needed() const </div><div class="ttdoc">Returns true if source is needed based on state of runtime arguments. </div><div class="ttdef"><b>Definition:</b> conversion_op.h:89</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_a843cb16e03bd7b40a99d8262b87534eb"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a843cb16e03bd7b40a99d8262b87534eb">cutlass::epilogue::thread::Convert::kRound</a></div><div class="ttdeci">static FloatRoundStyle const kRound</div><div class="ttdef"><b>Definition:</b> conversion_op.h:66</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_aeac9cd8849cb829c302f1a4be01c71db"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#aeac9cd8849cb829c302f1a4be01c71db">cutlass::epilogue::thread::Convert::ElementAccumulator</a></div><div class="ttdeci">ElementAccumulator_ ElementAccumulator</div><div class="ttdef"><b>Definition:</b> conversion_op.h:57</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_1Convert_html_afb63b7c6166990357cfe2686ed528909"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#afb63b7c6166990357cfe2686ed528909">cutlass::epilogue::thread::Convert::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> conversion_op.h:102</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="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_a00960402e155b59316966c64c4d46907"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a00960402e155b59316966c64c4d46907">cutlass::epilogue::thread::Convert::kCount</a></div><div class="ttdeci">static int const kCount</div><div class="ttdef"><b>Definition:</b> conversion_op.h:60</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="structcutlass_1_1epilogue_1_1thread_1_1Convert_1_1Params_html_a5a6c0959f8481505164e6f4748a77dbe"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1Convert_1_1Params.html#a5a6c0959f8481505164e6f4748a77dbe">cutlass::epilogue::thread::Convert::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> conversion_op.h:76</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_a95d97d23b668c59d5fca000b475768f3"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a95d97d23b668c59d5fca000b475768f3">cutlass::epilogue::thread::Convert::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> conversion_op.h:56</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_ae914ab18bfbc7835442d948facd649b5"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#ae914ab18bfbc7835442d948facd649b5">cutlass::epilogue::thread::Convert::FragmentAccumulator</a></div><div class="ttdeci">Array&lt; ElementAccumulator, kCount &gt; FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> conversion_op.h:63</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="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_ab0c6b4424c6a341b2887656815f1761e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#ab0c6b4424c6a341b2887656815f1761e">cutlass::epilogue::thread::Convert::ElementCompute</a></div><div class="ttdeci">ElementAccumulator_ ElementCompute</div><div class="ttdef"><b>Definition:</b> conversion_op.h:58</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_1Convert_html_a3dbcb283d1a62392cb0f00d7334952ea"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a3dbcb283d1a62392cb0f00d7334952ea">cutlass::epilogue::thread::Convert::is_source_ever_needed</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE constexpr bool is_source_ever_needed() const </div><div class="ttdef"><b>Definition:</b> conversion_op.h:96</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="classcutlass_1_1epilogue_1_1thread_1_1Convert_html_a9944ba7d971ea33e7b005d6fba1ef92b"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1Convert.html#a9944ba7d971ea33e7b005d6fba1ef92b">cutlass::epilogue::thread::Convert::FragmentOutput</a></div><div class="ttdeci">Array&lt; ElementOutput, kCount &gt; FragmentOutput</div><div class="ttdef"><b>Definition:</b> conversion_op.h:62</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_1Convert_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1Convert_1_1Params.html">cutlass::epilogue::thread::Convert::Params</a></div><div class="ttdoc">Host-constructable parameters structure. </div><div class="ttdef"><b>Definition:</b> conversion_op.h:69</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>
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