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<a href="mma__tensor__op__sm70_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> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <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> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <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> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <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> <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> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <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> <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> <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> <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> <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> <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
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_abd446811fcf7ef8f4106c4e7ebabcb84"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#abd446811fcf7ef8f4106c4e7ebabcb84">cutlass::gemm::warp::MmaVoltaTensorOp::FragmentB</a></div><div class="ttdeci">typename IteratorB::Fragment FragmentB</div><div class="ttdoc">Storage for B tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:149</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a7a47fe0c44571a0a68a43c5a47cf676a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">cutlass::gemm::GemmShape::kM</a></div><div class="ttdeci">static int const kM</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:58</div></div>
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<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>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ab4964d7a2cd0d0f77bae1c053a6a0528"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab4964d7a2cd0d0f77bae1c053a6a0528">cutlass::gemm::warp::MmaVoltaTensorOp::LayoutB</a></div><div class="ttdeci">LayoutB_ LayoutB</div><div class="ttdoc">Layout of multiplicand B. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:92</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaVoltaTensorOpMultiplicandTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator_sm70.h:70</div></div>
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<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>
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<div class="ttc" id="structcutlass_1_1MatrixShape_html_a160927c2ddf7239f5be8c7cf6374a82e"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html#a160927c2ddf7239f5be8c7cf6374a82e">cutlass::MatrixShape::kColumn</a></div><div class="ttdeci">static int const kColumn</div><div class="ttdoc">columns of a matrix </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:44</div></div>
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<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a999febc52151d3c585f73405160052de"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a999febc52151d3c585f73405160052de">cutlass::gemm::warp::MmaVoltaTensorOp::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Shape of warp-level matrix operation (concept: GemmShape) </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:80</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a7bae8fc27cb04739f236ec1237b37af9"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7bae8fc27cb04739f236ec1237b37af9">cutlass::gemm::warp::MmaVoltaTensorOp::OperatorClass</a></div><div class="ttdeci">arch::OpClassTensorOp OperatorClass</div><div class="ttdoc">Indicates class of matrix operator. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:104</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a3d0bf8bf722d8ecf84b00abd9e5be227"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d0bf8bf722d8ecf84b00abd9e5be227">cutlass::gemm::warp::MmaVoltaTensorOp::LayoutA</a></div><div class="ttdeci">LayoutA_ LayoutA</div><div class="ttdoc">Layout of multiplicand A. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:86</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator_html_acd54606d757015b77519e3a4b8491b37"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html#acd54606d757015b77519e3a4b8491b37">cutlass::gemm::warp::MmaVoltaTensorOpAccumulatorTileIterator::Fragment</a></div><div class="ttdeci">Array< Element, Shape::kCount/kThreads > Fragment</div><div class="ttdoc">Fragment object holding a thread&#39;s part of a tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator_sm70.h:1213</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ada002c337b4c4dd56e6f57adcc19d738"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ada002c337b4c4dd56e6f57adcc19d738">cutlass::gemm::warp::MmaVoltaTensorOp::ElementA</a></div><div class="ttdeci">ElementA_ ElementA</div><div class="ttdoc">Data type of multiplicand A. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:83</div></div>
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<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>
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<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>
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<div class="ttc" id="gemm_2warp_2mma_8h_html"><div class="ttname"><a href="gemm_2warp_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp-level multiply-add operations. </div></div>
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<div class="ttc" id="arch_2mma_8h_html"><div class="ttname"><a href="arch_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for multiply-add operations. </div></div>
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<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">cutlass::gemm::Operand::kA</a></div></div>
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<div class="ttc" id="mma__tensor__op__tile__iterator__sm70_8h_html"><div class="ttname"><a href="mma__tensor__op__tile__iterator__sm70_8h.html">mma_tensor_op_tile_iterator_sm70.h</a></div><div class="ttdoc">Defines iterators used by warp-level matrix multiply operations targeting Tensor Cores. </div></div>
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<div class="ttc" id="matrix__shape_8h_html"><div class="ttname"><a href="matrix__shape_8h.html">matrix_shape.h</a></div><div class="ttdoc">Defines a Shape template for matrix tiles. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a55fbfa2ebe03c10e882e5245e90b4a0a"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a55fbfa2ebe03c10e882e5245e90b4a0a">cutlass::gemm::warp::MmaVoltaTensorOp::ElementB</a></div><div class="ttdeci">ElementB_ ElementB</div><div class="ttdoc">Data type of multiplicand B. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:89</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ab06b4c9da74987b1c2322039a2ddf765"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab06b4c9da74987b1c2322039a2ddf765">cutlass::gemm::warp::MmaVoltaTensorOp::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(FragmentC &D, FragmentA const &A, FragmentB const &B, FragmentC const &C, int const &partitionN_idx=0)</div><div class="ttdoc">Performs a warp-level matrix multiply-accumulate operation. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:200</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_aa4837cb1fd3eac3713e99d0625f14842"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aa4837cb1fd3eac3713e99d0625f14842">cutlass::gemm::warp::MmaVoltaTensorOp::mma</a></div><div class="ttdeci">Policy::Operator mma</div><div class="ttdoc">Underlying matrix multiply operator (concept: arch::Mma) </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:186</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html">cutlass::gemm::warp::MmaVoltaTensorOp</a></div><div class="ttdoc">Structure to compute the matrix product targeting CUDA cores and SIMT math instructions. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:77</div></div>
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<div class="ttc" id="structcutlass_1_1MatrixShape_html_a6e376c7fd5954ab6040fea695ae8a889"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html#a6e376c7fd5954ab6040fea695ae8a889">cutlass::MatrixShape::kRow</a></div><div class="ttdeci">static int const kRow</div><div class="ttdoc">rows of a matrix </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:43</div></div>
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<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>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html">cutlass::gemm::GemmShape</a></div><div class="ttdoc">Shape of a matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:57</div></div>
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<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a316d26dfb4b537fa0ccdb3542260406b"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a316d26dfb4b537fa0ccdb3542260406b">cutlass::gemm::warp::MmaVoltaTensorOp::FragmentC</a></div><div class="ttdeci">typename IteratorC::Fragment FragmentC</div><div class="ttdoc">Storage for C tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:161</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_aafda08a1d0480ae202fc3a66203e4a16"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#aafda08a1d0480ae202fc3a66203e4a16">cutlass::gemm::warp::MmaVoltaTensorOp::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of accumulator matrix C. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:98</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_ab263f394262ccf84ce0da72b2f7c2c9d"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#ab263f394262ccf84ce0da72b2f7c2c9d">cutlass::gemm::warp::MmaVoltaTensorOp::kThreadCount</a></div><div class="ttdeci">static int const kThreadCount</div><div class="ttdoc">Number of threads participating in warp-level matrix product. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:107</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a7ba75978dcba9b1806da57ebb568a57d"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a7ba75978dcba9b1806da57ebb568a57d">cutlass::gemm::warp::MmaVoltaTensorOp::MmaVoltaTensorOp</a></div><div class="ttdeci">CUTLASS_DEVICE MmaVoltaTensorOp()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:196</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOpAccumulatorTileIterator.html">cutlass::gemm::warp::MmaVoltaTensorOpAccumulatorTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator_sm70.h:1135</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a6b477623374acfbc68a68e7f78c29ef4"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a6b477623374acfbc68a68e7f78c29ef4">cutlass::gemm::warp::MmaVoltaTensorOp::ElementC</a></div><div class="ttdeci">ElementC_ ElementC</div><div class="ttdoc">Data type of accumulator matrix C. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:95</div></div>
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<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">cutlass::gemm::Operand::kB</a></div><div class="ttdoc">A multiplicand. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp_html_a3d96fc74476d2c062cea6e45499bbb45"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaVoltaTensorOp.html#a3d96fc74476d2c062cea6e45499bbb45">cutlass::gemm::warp::MmaVoltaTensorOp::FragmentA</a></div><div class="ttdeci">typename IteratorA::Fragment FragmentA</div><div class="ttdoc">Storage for A tile. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op_sm70.h:132</div></div>
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<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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<div class="ttc" id="mma__tensor__op__policy_8h_html"><div class="ttname"><a href="mma__tensor__op__policy_8h.html">mma_tensor_op_policy.h</a></div><div class="ttdoc">Policy describing implementation details of warp-level GEMM targeting Tensor Cores. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a9fcbaa4b47b83d0c8a09979ad5c98a1e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">cutlass::gemm::GemmShape::kN</a></div><div class="ttdeci">static int const kN</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:59</div></div>
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