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389e493055
* CUTLASS 3.8 Release
* update
* Update README.md
* Revert "Update README.md"
This reverts commit b353e36fe8.
* update
* update
---------
Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
122 lines
4.9 KiB
C++
122 lines
4.9 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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#pragma once
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#include "cutlass/conv/convolution.h"
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#include "cutlass/epilogue/thread/activation.h"
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#include "cutlass/arch/arch.h"
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#include "cute/layout.hpp"
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#include "cute/numeric/integral_constant.hpp"
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#include "cutlass/gemm/dispatch_policy.hpp"
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//////////////////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////
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namespace cutlass::conv {
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//////////////////////////////////////////////////////////////////////////////
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//
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// Policies for categorical dispatch of mainloop against kernel grid schedules
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//
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struct KernelImplicitTmaWarpSpecializedSm90 : cutlass::gemm::KernelTmaWarpSpecialized { };
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struct KernelImplicitTmaWarpSpecializedSm90Cooperative { };
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struct KernelImplicitTmaWarpSpecializedSm90Pingpong { };
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//
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// Collective Mainloop Policies
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//
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// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, static schedule between TMA and GMMA
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// for fprop
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template<
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conv::Operator ConvOp_,
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int Stages_,
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int NumSpatialDimensions_,
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class ClusterShape_ = cute::Shape<cute::C<1>,cute::C<1>,cute::C<1>>,
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class KernelSchedule = KernelImplicitTmaWarpSpecializedSm90,
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int PipelineAsyncMmaStages_ = 1
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>
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struct MainloopSm90TmaGmmaWarpSpecializedImplicitGemm {
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static constexpr int Stages = Stages_;
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static constexpr int NumSpatialDimensions = NumSpatialDimensions_;
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static constexpr Operator ConvOp = ConvOp_;
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static constexpr int PipelineAsyncMmaStages = PipelineAsyncMmaStages_;
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using ClusterShape = ClusterShape_;
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using ArchTag = arch::Sm90;
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using Schedule = KernelSchedule;
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static_assert(NumSpatialDimensions >= 1);
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static_assert(! (cute::is_same_v<KernelSchedule,KernelImplicitTmaWarpSpecializedSm90Cooperative> ||
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cute::is_same_v<KernelSchedule,KernelImplicitTmaWarpSpecializedSm90Pingpong>),
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"Persistent schedules not support for conv yet.");
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};
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// SM100 tensor op kernel schedule
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struct KernelImplicitTmaWarpSpecializedSm100 { };
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// Pseudo-policies for builder auto override that dispatches to the KernelImplicitTmaWarpSpecializedSm100
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// but for opting into 1 or 2 SM atoms
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struct KernelImplicitTmaWarpSpecialized1SmSm100 : KernelImplicitTmaWarpSpecializedSm100 { };
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struct KernelImplicitTmaWarpSpecialized2SmSm100 : KernelImplicitTmaWarpSpecializedSm100 { };
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struct KernelStridedDgradTmaWs1SmSm100 { };
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struct KernelStridedDgradTmaWs2SmSm100 { };
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// n-buffer in smem (Blackwell TMA), pipelined with Blackwell UMMA and TMA, fprop
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template<
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conv::Operator ConvOp_,
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int Stages_,
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int NumSpatialDimensions_,
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class ClusterShape_ = cute::Shape<cute::C<1>,cute::C<1>,cute::C<1>>
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>
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struct MainloopSm100TmaUmmaWarpSpecializedImplicitGemm {
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static constexpr int Stages = Stages_;
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static constexpr int NumSpatialDimensions = NumSpatialDimensions_;
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static constexpr Operator ConvOp = ConvOp_;
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using ClusterShape = ClusterShape_;
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using ArchTag = arch::Sm100;
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using Schedule = KernelImplicitTmaWarpSpecializedSm100;
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static_assert(NumSpatialDimensions >= 1);
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};
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//////////////////////////////////////////////////////////////////////////////
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} // namespace cutlass::conv
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//////////////////////////////////////////////////////////////////////////////
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