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<h1>Source code for cutlass.op.gemm_grouped</h1><div class="highlight"><pre>
<span></span><span class="c1">#################################################################################################</span>
<span class="c1">#</span>
<span class="c1"># Copyright (c) 2023 - 2023 NVIDIA CORPORATION &amp; AFFILIATES. All rights reserved.</span>
<span class="c1"># SPDX-License-Identifier: BSD-3-Clause</span>
<span class="c1">#</span>
<span class="c1"># Redistribution and use in source and binary forms, with or without</span>
<span class="c1"># modification, are permitted provided that the following conditions are met:</span>
<span class="c1">#</span>
<span class="c1"># 1. Redistributions of source code must retain the above copyright notice, this</span>
<span class="c1"># list of conditions and the following disclaimer.</span>
<span class="c1">#</span>
<span class="c1"># 2. Redistributions in binary form must reproduce the above copyright notice,</span>
<span class="c1"># this list of conditions and the following disclaimer in the documentation</span>
<span class="c1"># and/or other materials provided with the distribution.</span>
<span class="c1">#</span>
<span class="c1"># 3. Neither the name of the copyright holder nor the names of its</span>
<span class="c1"># contributors may be used to endorse or promote products derived from</span>
<span class="c1"># this software without specific prior written permission.</span>
<span class="c1">#</span>
<span class="c1"># THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot;</span>
<span class="c1"># AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE</span>
<span class="c1"># IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE</span>
<span class="c1"># DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE</span>
<span class="c1"># FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL</span>
<span class="c1"># DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR</span>
<span class="c1"># SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER</span>
<span class="c1"># CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,</span>
<span class="c1"># OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span>
<span class="c1"># OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span>
<span class="c1">#</span>
<span class="c1">#################################################################################################</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Ease-of-use interface for constructing, compiling, and running GEMMs.</span>
<span class="sd"> The ``GroupedGemm`` interface is meant to allow one to easily instantiate, compile, and run</span>
<span class="sd"> grouped GEMM operations in CUTLASS via Python, without specifying many configuration parameters.</span>
<span class="sd"> Under the hood, the interface will select sensible default parameters for the many template</span>
<span class="sd"> parameters for CUTLASS grouped GEMMs.</span>
<span class="sd"> Note: optimal performance is not to be expected from this interface. To achieve optimal</span>
<span class="sd"> performance, one should specify and tune each configuration parameter.</span>
<span class="sd"> The simplest example of using this interface is the following:</span>
<span class="sd"> .. highlight:: python</span>
<span class="sd"> .. code-block:: python</span>
<span class="sd"> # As, Bs, Cs, and Ds are torch/numpy/cupy tensor objects</span>
<span class="sd"> plan = cutlass.op.GroupedGemm(element=cutlass.DataType.f16, layout=cutlass.LayoutType.RowMajor)</span>
<span class="sd"> plan.run([A0, A1], [B0, B1], [C0, C1], [D0, D1])</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">cutlass_bindings</span>
<span class="kn">from</span> <span class="nn">cutlass.backend.gemm_operation</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">GemmGroupedArguments</span><span class="p">,</span>
<span class="n">GemmOperationGrouped</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">cutlass.backend.library</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">DataTypeSize</span><span class="p">,</span>
<span class="n">SchedulerMode</span><span class="p">,</span>
<span class="n">TensorDescription</span><span class="p">,</span>
<span class="n">TileDescription</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">cutlass.op.gemm</span> <span class="kn">import</span> <span class="n">Gemm</span>
<span class="kn">from</span> <span class="nn">cutlass.utils</span> <span class="kn">import</span> <span class="n">check</span><span class="p">,</span> <span class="n">datatypes</span>
<div class="viewcode-block" id="GroupedGemm"><a class="viewcode-back" href="../../../cutlass.op.html#cutlass.op.gemm_grouped.GroupedGemm">[docs]</a><span class="k">class</span> <span class="nc">GroupedGemm</span><span class="p">(</span><span class="n">Gemm</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Constructs a ``GroupedGemm`` object.</span>
<span class="sd"> The data types and layouts of operands A, B, and C, along with the data type of output D</span>
<span class="sd"> and that used for accumulation, are bound to the ``GroupedGemm`` object throughout its lifetime --</span>
<span class="sd"> these are not to be changed after a ``GroupedGemm`` has been constructed.</span>
<span class="sd"> The constructor has optional parameters for flexibly setting these parameters. Please see the constructor</span>
<span class="sd"> for ``Gemm`` for examples of these.</span>
<span class="sd"> :param cc: compute capability of device to generate kernels for</span>
<span class="sd"> :type cc: int</span>
<span class="sd"> :param A: tensor representing data type and layout of operands A</span>
<span class="sd"> :param B: tensor representing data type and layout of operands B</span>
<span class="sd"> :param C: tensor representing data type and layout of operands C</span>
<span class="sd"> :param D: tensor representing data type and layout of operands D</span>
<span class="sd"> :param alpha: scalar paramter alpha from GEMM computation that scales the product of operands A and B</span>
<span class="sd"> :param beta: scalar parameter beta from GEMM operation that scales operand C</span>
<span class="sd"> :param element_accumulator: data type to be used in accumulation of the product of operands A and B</span>
<span class="sd"> :type element_accumulator: cutlass.DataType</span>
<span class="sd"> :param element: generic data type to be used for operands A, B, C, D, as well as the accumulation data type</span>
<span class="sd"> :type element: cutlass.DataType</span>
<span class="sd"> :param layout: generic layout type to be used for operands A, B, C, and D</span>
<span class="sd"> :type layout: cutlass.LayoutType</span>
<span class="sd"> :param element_A: data type to be used for operand A</span>
<span class="sd"> :type element_A: cutlass.DataType</span>
<span class="sd"> :param element_B: data type to be used for operand B</span>
<span class="sd"> :type element_B: cutlass.DataType</span>
<span class="sd"> :param element_C: data type to be used for operand C</span>
<span class="sd"> :type element_C: cutlass.DataType</span>
<span class="sd"> :param element_D: data type to be used for operand D</span>
<span class="sd"> :type element_D: cutlass.DataType</span>
<span class="sd"> :type layout_A: layout of operand A</span>
<span class="sd"> :param layout_A: cutlass.LayoutType</span>
<span class="sd"> :type layout_B: layout of operand B</span>
<span class="sd"> :param layout_B: cutlass.LayoutType</span>
<span class="sd"> :type layout_C: layout of operand C</span>
<span class="sd"> :param layout_C: cutlass.LayoutType</span>
<span class="sd"> :type layout_D: layout of operand D</span>
<span class="sd"> :param layout_D: cutlass.LayoutType</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">A</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">B</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">C</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">D</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">element_accumulator</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">element</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">element_A</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">element_B</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">element_C</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">element_D</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">layout_A</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">layout_B</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">layout_C</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">cc</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="n">A</span><span class="o">=</span><span class="n">A</span><span class="p">,</span> <span class="n">B</span><span class="o">=</span><span class="n">B</span><span class="p">,</span> <span class="n">C</span><span class="o">=</span><span class="n">C</span><span class="p">,</span> <span class="n">D</span><span class="o">=</span><span class="n">D</span><span class="p">,</span>
<span class="n">alpha</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="n">beta</span><span class="p">,</span>
<span class="n">element_accumulator</span><span class="o">=</span><span class="n">element_accumulator</span><span class="p">,</span>
<span class="n">element</span><span class="o">=</span><span class="n">element</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">,</span>
<span class="n">element_A</span><span class="o">=</span><span class="n">element_A</span><span class="p">,</span> <span class="n">element_B</span><span class="o">=</span><span class="n">element_B</span><span class="p">,</span>
<span class="n">element_C</span><span class="o">=</span><span class="n">element_C</span><span class="p">,</span> <span class="n">element_D</span><span class="o">=</span><span class="n">element_D</span><span class="p">,</span>
<span class="n">layout_A</span><span class="o">=</span><span class="n">layout_A</span><span class="p">,</span> <span class="n">layout_B</span><span class="o">=</span><span class="n">layout_B</span><span class="p">,</span> <span class="n">layout_C</span><span class="o">=</span><span class="n">layout_C</span><span class="p">,</span>
<span class="n">cc</span><span class="o">=</span><span class="n">cc</span>
<span class="p">)</span>
<span class="c1"># Grouped GEMM specializations for SM90 are currently unavailable. Revert to using SM80</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">current_cc</span> <span class="o">==</span> <span class="mi">90</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_reset_options</span><span class="p">(</span><span class="mi">80</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_reset_operations</span><span class="p">(</span><span class="n">reset_epilogue</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s2">&quot;grouped_gemm&quot;</span>
<span class="nd">@Gemm</span><span class="o">.</span><span class="n">swizzling_functor</span><span class="o">.</span><span class="n">setter</span>
<span class="k">def</span> <span class="nf">swizzling_functor</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">swizzling_functor</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Sets the swizzling functor to the type specified by `swizzling_functor`</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s1">&#39;Grouped GEMM does not currently support different swizzling functors&#39;</span><span class="p">)</span>
<div class="viewcode-block" id="GroupedGemm.construct"><a class="viewcode-back" href="../../../cutlass.op.html#cutlass.op.gemm_grouped.GroupedGemm.construct">[docs]</a> <span class="k">def</span> <span class="nf">construct</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tile_description</span><span class="p">:</span> <span class="n">TileDescription</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">alignment_A</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">alignment_B</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">alignment_C</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GemmOperationGrouped</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Constructs a ``cutlass.backend.GemmOperationGrouped`` based on the input parameters and current</span>
<span class="sd"> kernel specification of the ``Gemm`` object.</span>
<span class="sd"> :param tile_description: tile description specifying shapes and operand types to use in the kernel</span>
<span class="sd"> :type tile_description: cutlass.backend.TileDescription</span>
<span class="sd"> :param alignment_A: alignment of operand A</span>
<span class="sd"> :type alignment_A: int</span>
<span class="sd"> :param alignment_B: alignment of operand B</span>
<span class="sd"> :type alignment_B: int</span>
<span class="sd"> :param alignment_C: alignment of operand C</span>
<span class="sd"> :type alignment_C: int</span>
<span class="sd"> :return: operation that was constructed</span>
<span class="sd"> :rtype: cutlass.backend.GemmOperationGrouped</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">alignment_preference</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">possible_operations</span><span class="o">.</span><span class="n">alignments</span><span class="p">)</span>
<span class="n">alignment_A</span> <span class="o">=</span> <span class="n">check</span><span class="o">.</span><span class="n">alignment_or_default</span><span class="p">(</span><span class="n">alignment_A</span><span class="p">,</span> <span class="n">alignment_preference</span><span class="p">)</span>
<span class="n">alignment_B</span> <span class="o">=</span> <span class="n">check</span><span class="o">.</span><span class="n">alignment_or_default</span><span class="p">(</span><span class="n">alignment_B</span><span class="p">,</span> <span class="n">alignment_preference</span><span class="p">)</span>
<span class="n">alignment_C</span> <span class="o">=</span> <span class="n">check</span><span class="o">.</span><span class="n">alignment_or_default</span><span class="p">(</span><span class="n">alignment_C</span><span class="p">,</span> <span class="n">alignment_preference</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_reset_epilogue_functor_alignment</span><span class="p">(</span><span class="n">alignment_C</span><span class="p">)</span>
<span class="n">tensor_A</span> <span class="o">=</span> <span class="n">TensorDescription</span><span class="p">(</span>
<span class="n">datatypes</span><span class="o">.</span><span class="n">binding_type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_element_a</span><span class="p">),</span>
<span class="n">datatypes</span><span class="o">.</span><span class="n">binding_layout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_layout_a</span><span class="p">),</span>
<span class="n">alignment_A</span>
<span class="p">)</span>
<span class="n">tensor_B</span> <span class="o">=</span> <span class="n">TensorDescription</span><span class="p">(</span>
<span class="n">datatypes</span><span class="o">.</span><span class="n">binding_type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_element_b</span><span class="p">),</span>
<span class="n">datatypes</span><span class="o">.</span><span class="n">binding_layout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_layout_b</span><span class="p">),</span>
<span class="n">alignment_B</span>
<span class="p">)</span>
<span class="n">tensor_C</span> <span class="o">=</span> <span class="n">TensorDescription</span><span class="p">(</span>
<span class="n">datatypes</span><span class="o">.</span><span class="n">binding_type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_element_c</span><span class="p">),</span>
<span class="n">datatypes</span><span class="o">.</span><span class="n">binding_layout</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_layout_c</span><span class="p">),</span>
<span class="n">alignment_C</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">tile_description</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">op</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">possible_operations</span><span class="o">.</span><span class="n">operations</span><span class="p">(</span><span class="n">alignment_A</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">tile_description</span> <span class="o">=</span> <span class="n">datatypes</span><span class="o">.</span><span class="n">td_from_profiler_op</span><span class="p">(</span><span class="n">op</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">valid</span><span class="p">,</span> <span class="n">err_str</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_valid_tile_description</span><span class="p">(</span><span class="n">tile_description</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">valid</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Invalid tile description. </span><span class="si">{</span><span class="n">err_str</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tile_description</span> <span class="o">=</span> <span class="n">tile_description</span>
<span class="n">operation</span> <span class="o">=</span> <span class="n">GemmOperationGrouped</span><span class="p">(</span>
<span class="n">arch</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">current_cc</span><span class="p">,</span>
<span class="n">tile_description</span><span class="o">=</span><span class="n">tile_description</span><span class="p">,</span>
<span class="n">A</span><span class="o">=</span><span class="n">tensor_A</span><span class="p">,</span> <span class="n">B</span><span class="o">=</span><span class="n">tensor_B</span><span class="p">,</span> <span class="n">C</span><span class="o">=</span><span class="n">tensor_C</span><span class="p">,</span>
<span class="n">epilogue_functor</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">epilogue_functor</span><span class="p">,</span>
<span class="n">swizzling_functor</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_swizzling_functor</span><span class="p">,</span>
<span class="n">precompute_mode</span><span class="o">=</span><span class="n">SchedulerMode</span><span class="o">.</span><span class="n">Device</span><span class="p">)</span>
<span class="k">return</span> <span class="n">operation</span></div>
<div class="viewcode-block" id="GroupedGemm.run"><a class="viewcode-back" href="../../../cutlass.op.html#cutlass.op.gemm_grouped.GroupedGemm.run">[docs]</a> <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">A</span><span class="p">,</span> <span class="n">B</span><span class="p">,</span> <span class="n">C</span><span class="p">,</span> <span class="n">D</span><span class="p">,</span>
<span class="n">alpha</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">sync</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
<span class="n">print_module</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GemmGroupedArguments</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Runs the kernel currently specified.</span>
<span class="sd"> By default, this call returns only once the kernel has completed. To launch the kernel</span>
<span class="sd"> and immediately return, set ``sync=False``. In this case, it is the responsibility of the</span>
<span class="sd"> caller to syncrhonize the results of the kernel before attempting to access outputs</span>
<span class="sd"> by calling ``sync()`` on the arguments returned from this call.</span>
<span class="sd"> :param A: list of tensors representing data type and layout of operand A</span>
<span class="sd"> :type A: list</span>
<span class="sd"> :param B: list of tensors representing data type and layout of operand B</span>
<span class="sd"> :type B: list</span>
<span class="sd"> :param C: list of tensors representing data type and layout of operand C</span>
<span class="sd"> :type C: list</span>
<span class="sd"> :param D: list of tensors representing data type and layout of operand D</span>
<span class="sd"> :type D: list</span>
<span class="sd"> :param alpha: scalar paramter alpha from GEMM computation that scales the product of operands A and B</span>
<span class="sd"> :param beta: scalar parameter beta from GEMM operation that scales operand C</span>
<span class="sd"> :param sync: whether the call should wait for the kernel to complete before returning</span>
<span class="sd"> :type sync: bool</span>
<span class="sd"> :param print_module: whether to print the emitted C++ code</span>
<span class="sd"> :type print_module: bool</span>
<span class="sd"> :return: arguments passed in to the kernel</span>
<span class="sd"> :rtype: cutlass.backend.GemmGroupedArguments</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">A</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">B</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">A</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">C</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">A</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">D</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s2">&quot;Lengths of A, B, C, and D lists must be equal&quot;</span><span class="p">)</span>
<span class="n">problem_sizes</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">As</span><span class="p">,</span> <span class="n">Bs</span><span class="p">,</span> <span class="n">Cs</span><span class="p">,</span> <span class="n">Ds</span> <span class="o">=</span> <span class="p">([</span><span class="kc">None</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">A</span><span class="p">)</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">))</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">A</span><span class="p">)):</span>
<span class="n">As</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_verify_tensor</span><span class="p">(</span><span class="n">A</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">A</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_element_a</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_a</span><span class="p">,</span> <span class="s2">&quot;A&quot;</span><span class="p">)</span>
<span class="n">Bs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_verify_tensor</span><span class="p">(</span><span class="n">B</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">B</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_element_b</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_b</span><span class="p">,</span> <span class="s2">&quot;B&quot;</span><span class="p">)</span>
<span class="n">Cs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_verify_tensor</span><span class="p">(</span><span class="n">C</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">C</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_element_c</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_c</span><span class="p">,</span> <span class="s2">&quot;C&quot;</span><span class="p">)</span>
<span class="n">Ds</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_verify_tensor</span><span class="p">(</span><span class="n">D</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">D</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_element_d</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_d</span><span class="p">,</span> <span class="s2">&quot;D&quot;</span><span class="p">)</span>
<span class="n">problem_sizes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cutlass_bindings</span><span class="o">.</span><span class="n">gemm</span><span class="o">.</span><span class="n">GemmCoord</span><span class="p">(</span><span class="n">A</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">B</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">A</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
<span class="n">alpha</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_verify_scalar</span><span class="p">(</span><span class="n">alpha</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">alpha</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_element_c</span><span class="p">,</span> <span class="s2">&quot;alpha&quot;</span><span class="p">)</span>
<span class="n">beta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_verify_scalar</span><span class="p">(</span><span class="n">beta</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">beta</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_element_c</span><span class="p">,</span> <span class="s2">&quot;beta&quot;</span><span class="p">)</span>
<span class="n">alignment_a</span> <span class="o">=</span> <span class="nb">min</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">possible_operations</span><span class="o">.</span><span class="n">find_alignment</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_a</span><span class="p">)</span> <span class="k">for</span> <span class="n">A</span> <span class="ow">in</span> <span class="n">As</span><span class="p">))</span>
<span class="n">alignment_b</span> <span class="o">=</span> <span class="nb">min</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">possible_operations</span><span class="o">.</span><span class="n">find_alignment</span><span class="p">(</span><span class="n">B</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_b</span><span class="p">)</span> <span class="k">for</span> <span class="n">B</span> <span class="ow">in</span> <span class="n">Bs</span><span class="p">))</span>
<span class="n">alignment_c</span> <span class="o">=</span> <span class="nb">min</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">possible_operations</span><span class="o">.</span><span class="n">find_alignment</span><span class="p">(</span><span class="n">C</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_layout_c</span><span class="p">)</span> <span class="k">for</span> <span class="n">C</span> <span class="ow">in</span> <span class="n">Cs</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">tile_description</span><span class="p">,</span> <span class="n">alignment_A</span><span class="o">=</span><span class="n">alignment_a</span><span class="p">,</span> <span class="n">alignment_B</span><span class="o">=</span><span class="n">alignment_b</span><span class="p">,</span>
<span class="n">alignment_C</span><span class="o">=</span><span class="n">alignment_c</span><span class="p">,</span> <span class="n">print_module</span><span class="o">=</span><span class="n">print_module</span><span class="p">)</span>
<span class="n">arguments</span> <span class="o">=</span> <span class="n">GemmGroupedArguments</span><span class="p">(</span>
<span class="n">operation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">operation</span><span class="p">,</span>
<span class="n">problem_sizes</span><span class="o">=</span><span class="n">problem_sizes</span><span class="p">,</span>
<span class="n">A</span><span class="o">=</span><span class="n">As</span><span class="p">,</span> <span class="n">B</span><span class="o">=</span><span class="n">Bs</span><span class="p">,</span> <span class="n">C</span><span class="o">=</span><span class="n">Cs</span><span class="p">,</span> <span class="n">D</span><span class="o">=</span><span class="n">Ds</span><span class="p">,</span>
<span class="n">output_op</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">operation</span><span class="o">.</span><span class="n">epilogue_type</span><span class="p">(</span><span class="n">alpha</span><span class="p">,</span> <span class="n">beta</span><span class="p">)</span>
<span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">operation</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">arguments</span><span class="p">)</span>
<span class="k">if</span> <span class="n">sync</span><span class="p">:</span>
<span class="n">arguments</span><span class="o">.</span><span class="n">sync</span><span class="p">()</span>
<span class="k">return</span> <span class="n">arguments</span></div></div>
</pre></div>
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