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<a href="mma__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> <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="l000
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_ae7958be3c77c61ee500688bba2195b1a"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#ae7958be3c77c61ee500688bba2195b1a">cutlass::gemm::warp::MmaTensorOp::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.h:129</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="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_af94b734ca46b1e68a273b35f49155e16"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#af94b734ca46b1e68a273b35f49155e16">cutlass::gemm::warp::MmaTensorOp::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.h:97</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_ae344dbb59b9234254768238bee17f2d7"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#ae344dbb59b9234254768238bee17f2d7">cutlass::gemm::warp::MmaTensorOp::MmaTensorOp</a></div><div class="ttdeci">CUTLASS_DEVICE MmaTensorOp()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op.h:176</div></div>
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<div class="ttc" id="memory__sm75_8h_html"><div class="ttname"><a href="memory__sm75_8h.html">memory_sm75.h</a></div><div class="ttdoc">Architecture-specific operators on memory added for SM75. </div></div>
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<div class="ttc" id="mma__tensor__op__tile__iterator_8h_html"><div class="ttname"><a href="mma__tensor__op__tile__iterator_8h.html">mma_tensor_op_tile_iterator.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="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_1MmaTensorOp_html_a51960b3e3cdde83bc7321b1607b78302"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a51960b3e3cdde83bc7321b1607b78302">cutlass::gemm::warp::MmaTensorOp::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.h:112</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_ac47c26a237de7990a53df77a4535141b"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#ac47c26a237de7990a53df77a4535141b">cutlass::gemm::warp::MmaTensorOp::kPartitionsN</a></div><div class="ttdeci">static int const kPartitionsN</div><div class="ttdoc">PartitionsN indicating how many PartitionsN for multiplicand B. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op.h:118</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html">cutlass::gemm::warp::MmaTensorOp</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.h:82</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a8ea4f03edb1809d4a2a07c05f22b8398"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a8ea4f03edb1809d4a2a07c05f22b8398">cutlass::gemm::warp::MmaTensorOp::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.h:91</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a268f27ae31f2e1a4e8a2e734ec1c1816"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a268f27ae31f2e1a4e8a2e734ec1c1816">cutlass::gemm::warp::MmaTensorOp::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.h:138</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="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="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_1MmaTensorOp_html_ae03fe3d58f3d96e875055e7721548bab"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#ae03fe3d58f3d96e875055e7721548bab">cutlass::gemm::warp::MmaTensorOp::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.h:146</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpAccumulatorTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpAccumulatorTileIterator.html">cutlass::gemm::warp::MmaTensorOpAccumulatorTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator.h:1794</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_ac7b9462528c81aa23995760c8c104f47"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#ac7b9462528c81aa23995760c8c104f47">cutlass::gemm::warp::MmaTensorOp::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) const </div><div class="ttdoc">Performs a warp-level matrix multiply-accumulate operation. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op.h:180</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a2eddba2b1644d2df5ade4de535b95ed7"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a2eddba2b1644d2df5ade4de535b95ed7">cutlass::gemm::warp::MmaTensorOp::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.h:166</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a48cc72d8223f19a7c8995e845124025d"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a48cc72d8223f19a7c8995e845124025d">cutlass::gemm::warp::MmaTensorOp::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.h:100</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="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator.h:75</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_1MmaTensorOp_html_a77dea454b02646c21c7e9d3f340b9bdb"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a77dea454b02646c21c7e9d3f340b9bdb">cutlass::gemm::warp::MmaTensorOp::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.h:103</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_aca53ae2c2f98f6b1e735b332904aa9aa"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#aca53ae2c2f98f6b1e735b332904aa9aa">cutlass::gemm::warp::MmaTensorOp::Policy</a></div><div class="ttdeci">Policy_ Policy</div><div class="ttdoc">Shape of the warp in units of thread (concept: MmaLanePolicySimt) </div><div class="ttdef"><b>Definition:</b> mma_tensor_op.h:106</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_ac876fbcde91b3cd490432e7c8002bc60"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#ac876fbcde91b3cd490432e7c8002bc60">cutlass::gemm::warp::MmaTensorOp::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.h:85</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a5b4f3c2bc511330a4e41078bf08b430c"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a5b4f3c2bc511330a4e41078bf08b430c">cutlass::gemm::warp::MmaTensorOp::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.h:94</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a9e73c525ef6835bd6500f714166a7c43"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a9e73c525ef6835bd6500f714166a7c43">cutlass::gemm::warp::MmaTensorOp::kPartitionsK</a></div><div class="ttdeci">static int const kPartitionsK</div><div class="ttdoc">Number of partitions along K dimension. </div><div class="ttdef"><b>Definition:</b> mma_tensor_op.h:115</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_a2663baf282d4a7e9549cd52ffbf3cc02"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#a2663baf282d4a7e9549cd52ffbf3cc02">cutlass::gemm::warp::MmaTensorOp::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.h:109</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp_html_aacab39db92cb1e6c081d4475a7984c8f"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOp.html#aacab39db92cb1e6c081d4475a7984c8f">cutlass::gemm::warp::MmaTensorOp::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.h:88</div></div>
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<div class="ttc" id="mma__sm75_8h_html"><div class="ttname"><a href="mma__sm75_8h.html">mma_sm75.h</a></div><div class="ttdoc">Matrix multiply for SM75. </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="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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