122 lines
4.7 KiB
C++
122 lines
4.7 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2023 - 2024 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 "cute/algorithm/clear.hpp"
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#include "cute/tensor.hpp"
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//////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////FP8 Accumulation///////////////////////////
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//////////////////////////////////////////////////////////////////////////////
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/// It would promote (add) the results from the tensor core accumulators to the
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/// main accumulators when the number of MMAs reaches the max number of MMA
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/// interval specified by user, after that the tensor core accumulators are
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/// zeroed.
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//////////////////////////////////////////////////////////////////////////////
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namespace cutlass::gemm::collective {
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template <
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class EngineAccum,
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class LayoutAccum>
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struct GmmaFP8Accumulation {
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using TensorAccum = cute::Tensor<EngineAccum, LayoutAccum>;
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static_assert(is_static<LayoutAccum>::value, "Accumulator Layout should be static");
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static_assert(is_rmem<TensorAccum>::value , "Accumulator tensor must be rmem resident.");
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private:
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TensorAccum& accum_;
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TensorAccum accum_temp_;
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uint32_t accum_promotion_interval_; // defines the max num of executed MMAs after which accum should be promoted.
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uint32_t mma_count_per_mainloop_iteration_; // num of MMAs per k_tile of mainloop
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uint32_t mma_count_; // current executed MMAs
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uint32_t reset_accum_flag_; // accum needs to be zeroed or not.
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CUTLASS_DEVICE
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void promote_core() {
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warpgroup_wait<0>();
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CUTLASS_PRAGMA_UNROLL
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for (int i = 0; i < size(accum_); ++i) {
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accum_(i) += accum_temp_(i);
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}
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}
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public:
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CUTLASS_DEVICE
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GmmaFP8Accumulation(
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TensorAccum &accum,
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uint32_t accum_promotion_interval,
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uint32_t mma_count_per_mainloop_iteration)
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: accum_(accum),
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accum_promotion_interval_(accum_promotion_interval),
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mma_count_per_mainloop_iteration_(mma_count_per_mainloop_iteration),
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mma_count_(0),
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reset_accum_flag_(0)
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{
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accum_temp_ = cute::make_fragment_like(accum);
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}
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CUTLASS_DEVICE
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TensorAccum& operator()() {
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return accum_temp_;
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}
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/// prepare the MMA accumulators when initialization or zeroing is required.
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CUTLASS_DEVICE
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bool prepare_if_needed() {
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return reset_accum_flag_;
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}
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/// promote (add) the results from the MMA accumulators to main accumulator if needed.
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CUTLASS_DEVICE
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void promote_if_needed() {
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mma_count_ += mma_count_per_mainloop_iteration_;
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reset_accum_flag_ = __shfl_sync(0xffffffff, mma_count_ == accum_promotion_interval_, 0);
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if (reset_accum_flag_) {
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promote_core();
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mma_count_ = 0;
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}
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}
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/// promote (add) the residue results from the MMA accumulators to main accumulator if needed.
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CUTLASS_DEVICE
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void promote_residue_if_needed() {
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if (__shfl_sync(0xffffffff, mma_count_ > 0, 0)) {
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promote_core();
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}
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}
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};
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} // namespace cutlass::gemm::collective
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