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<a href="fragment__iterator__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
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_aeb486b8f0cfa33ae7b64cb88c199f312"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#aeb486b8f0cfa33ae7b64cb88c199f312">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::load</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void load(Fragment &amp;frag, int index_offset=0) const </div><div class="ttdoc">Loads a fragment from the referenced part of the accumulator tile. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:140</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="tensor__op__policy_8h_html"><div class="ttname"><a href="tensor__op__policy_8h.html">tensor_op_policy.h</a></div><div class="ttdoc">Defines basic structures needed for implementing the warp-scoped phase of the epilogue. These quantities assume a &amp;#39;column-major&amp;#39; arrangement of TensorOp instructions, of which a row-oriented slice is visible per iteration. </div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_ab84581ab676ca9159aad956f88b7f9ed"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#ab84581ab676ca9159aad956f88b7f9ed">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::OutputAccumulatorTile</a></div><div class="ttdeci">AccumulatorTile OutputAccumulatorTile</div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:93</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_a24161390822e4b5880f73fccb50826c0"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#a24161390822e4b5880f73fccb50826c0">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::load</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void load(Fragment &amp;frag, int index_offset=0) const </div><div class="ttdoc">Loads a fragment from the referenced part of the accumulator tile. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:236</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_a6faf5b99575aac462873322e194dd2d4"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#a6faf5b99575aac462873322e194dd2d4">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::operator--</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentIteratorTensorOp &amp; operator--()</div><div class="ttdoc">Decrements. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:229</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_aa3102326f996979df8a479c21706753c"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#aa3102326f996979df8a479c21706753c">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::WarpShape</a></div><div class="ttdeci">WarpShape_ WarpShape</div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:174</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="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_a2adfa48a2bfefab2cddd5b2185a6d80b"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#a2adfa48a2bfefab2cddd5b2185a6d80b">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::AccumulatorTile</a></div><div class="ttdeci">Array&lt; OperatorElementC, OperatorFragmentC::kElements *Policy::OperatorCount::kRow *Policy::OperatorCount::kColumn &gt; AccumulatorTile</div><div class="ttdoc">This is the complete warp-level accumulator tile. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:91</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_ac1cbc7d77f60cedb3e7aa88c24ea04b1"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#ac1cbc7d77f60cedb3e7aa88c24ea04b1">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::Fragment</a></div><div class="ttdeci">Array&lt; OperatorElementC, Policy::OperatorCount::kColumn *Policy::kElementsPerAccess &gt; Fragment</div><div class="ttdoc">This is the fragment size produced by one access of the iterator. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:86</div></div>
<div class="ttc" id="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy.html">cutlass::epilogue::warp::TensorOpPolicy</a></div><div class="ttdoc">Policy details related to the epilogue. </div><div class="ttdef"><b>Definition:</b> tensor_op_policy.h:50</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_af51b1e23c36ba486a00eeb614589967e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#af51b1e23c36ba486a00eeb614589967e">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentIteratorTensorOp &amp; operator++()</div><div class="ttdoc">Increments. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:222</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_a2fcc41a59fce4e01d3ea7917a73c5ec8"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#a2fcc41a59fce4e01d3ea7917a73c5ec8">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::FragmentIteratorTensorOp</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentIteratorTensorOp(AccumulatorTile const &amp;accum)</div><div class="ttdoc">Constructs an iterator. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:119</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="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_ad690dd7f54217a7d1e2033e557306e8d"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#ad690dd7f54217a7d1e2033e557306e8d">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::FragmentIteratorTensorOp</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentIteratorTensorOp(AccumulatorTile const &amp;accum)</div><div class="ttdoc">Constructs an iterator. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:216</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp.html">cutlass::epilogue::warp::FragmentIteratorTensorOp</a></div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:61</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_a53fe88441ba1f7bbe5cb30ae60eb2be6"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#a53fe88441ba1f7bbe5cb30ae60eb2be6">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::Fragment</a></div><div class="ttdeci">Array&lt; OperatorElementC, Policy::kElementsPerAccess *InterleavedK/OperatorShape::kN &gt; Fragment</div><div class="ttdoc">This is the fragment size produced by one access of the iterator. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:186</div></div>
<div class="ttc" id="classcutlass_1_1layout_1_1RowMajor_html"><div class="ttname"><a href="classcutlass_1_1layout_1_1RowMajor.html">cutlass::layout::RowMajor</a></div><div class="ttdoc">Mapping function for row-major matrices. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:50</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_ac638be718341c995d2fb0948eab54d34"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#ac638be718341c995d2fb0948eab54d34">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentIteratorTensorOp &amp; operator++()</div><div class="ttdoc">Increments. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:126</div></div>
<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorInterleaved_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorInterleaved.html">cutlass::layout::ColumnMajorInterleaved</a></div><div class="ttdef"><b>Definition:</b> layout/matrix.h:343</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726_html_aafb2c78a1f680ddc24f77d87c8edf40f"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_e459aab140a2ce78336e584f95886726.html#aafb2c78a1f680ddc24f77d87c8edf40f">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::ColumnMajorInterleaved&lt; InterleavedK &gt; &gt;::AccumulatorTile</a></div><div class="ttdeci">Array&lt; OperatorElementC, OperatorFragmentC::kElements *Policy::OperatorCount::kRow *Policy::OperatorCount::kColumn &gt; AccumulatorTile</div><div class="ttdoc">This is the complete warp-level accumulator tile. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:192</div></div>
<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda_html_a91c59ef117cc8d16241b58d5f0c18399"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorTensorOp_3_01WarpShape___00_01OperatorShape_5e78dabe303f20d76b00c600aab61eda.html#a91c59ef117cc8d16241b58d5f0c18399">cutlass::epilogue::warp::FragmentIteratorTensorOp&lt; WarpShape_, OperatorShape_, OperatorElementC_, OperatorFragmentC_, layout::RowMajor &gt;::operator--</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentIteratorTensorOp &amp; operator--()</div><div class="ttdoc">Decrements. </div><div class="ttdef"><b>Definition:</b> fragment_iterator_tensor_op.h:133</div></div>
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