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<a href="default__mma__wmma__tensor__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="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="wmma_8h.html">cutlass/arch/wmma.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#if defined(CUTLASS_ARCH_WMMA_ENABLED)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="mma__tensor__op__wmma_8h.html">cutlass/gemm/warp/mma_tensor_op_wmma.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span>warp {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">typename</span> WarpShape_,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keyword">typename</span> InstructionShape_,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">typename</span> ElementA_,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">typename</span> LayoutA_,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keyword">typename</span> ElementB_,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">typename</span> LayoutB_,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">typename</span> ElementC_,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keyword">typename</span> LayoutC_,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">typename</span> Operator_ = arch::OpMultiplyAdd,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordtype">int</span> PartitionsK = 1,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordtype">int</span> PartitionsN = 1</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;&gt;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="keyword">struct </span>DefaultMmaTensorOpWmma;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">typename</span> WarpShape_,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">typename</span> InstructionShape_,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">typename</span> ElementA,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">typename</span> ElementB,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">typename</span> LayoutB,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keyword">typename</span> ElementC,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">typename</span> LayoutC,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">typename</span> Operator_,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">int</span> PartitionsK,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordtype">int</span> PartitionsN&gt;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;<span class="keyword">struct </span>DefaultMmaTensorOpWmma {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">using</span> Policy = <a class="code" href="structcutlass_1_1gemm_1_1warp_1_1MmaTensorOpPolicy.html">cutlass::gemm::warp::MmaTensorOpPolicy</a>&lt;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; cutlass::arch::Wmma&lt;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; InstructionShape_, </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; ElementA,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; LayoutA, </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; ElementB,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; LayoutB, </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; ElementC,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; LayoutC, </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; Operator_&gt;,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="structcutlass_1_1MatrixShape.html">cutlass::MatrixShape&lt;1, 1&gt;</a> &gt;;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="comment">// Define the warp-level tensor op</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">using</span> Type = cutlass::gemm::warp::MmaTensorOpWmma&lt;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; WarpShape_,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; ElementA, </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; LayoutA, </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; ElementB, </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; LayoutB,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; ElementC, </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; LayoutC, </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; Policy, </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; PartitionsK,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; PartitionsN&gt;;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;};</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;} <span class="comment">// namespace warp</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;} <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="ttc" id="structcutlass_1_1MatrixShape_html"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html">cutlass::MatrixShape</a></div><div class="ttdoc">Describes the size of a matrix tile. </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:42</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_1gemm_1_1warp_1_1MmaTensorOpPolicy_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1warp_1_1MmaTensorOpPolicy.html">cutlass::gemm::warp::MmaTensorOpPolicy</a></div><div class="ttdoc">Policy. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_policy.h:48</div></div>
<div class="ttc" id="mma__tensor__op__wmma_8h_html"><div class="ttname"><a href="mma__tensor__op__wmma_8h.html">mma_tensor_op_wmma.h</a></div><div class="ttdoc">Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores...</div></div>
<div class="ttc" id="wmma_8h_html"><div class="ttname"><a href="wmma_8h.html">wmma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp matrix multiply-add (WMMA) operations. </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>
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