CUTLASS 3.7 (#2045)
* CUTLASS 3.7 * clean up changelog --------- Co-authored-by: yuzhai <yuzhai@nvidia.com> Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
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Yujia Zhai
co-authored by
yuzhai
Haicheng Wu
yuzhai
Haicheng Wu
parent
902dff3663
commit
b78588d163
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/***************************************************************************************************
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* Copyright (c) 2024 - 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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/*! \file
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\brief Distributed gemm device layer helpers.
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*/
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#pragma once
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#include "cute/layout.hpp"
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#include "cute/tensor.hpp"
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#include "cutlass/cutlass.h"
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///////////////////////////////////////////////////////////////////////////////
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namespace cutlass::distributed::device::detail {
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cutlass::Status check_cuda_status(cudaError_t status) {
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if (status != cudaSuccess) {
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auto result = cudaGetLastError();
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CUTLASS_TRACE_HOST(" error message: " << cudaGetErrorString(result));
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return cutlass::Status::kErrorInternal;
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}
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return cutlass::Status::kSuccess;
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}
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// DistGemmBufferHelper computes required buffer size and offsets for GEMM operands.
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template <
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typename Tiler_,
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typename ElementA_,
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typename ElementB_,
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typename ElementC_,
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typename ElementD_>
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struct DistGemmBufferHelper {
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using Tiler = Tiler_;
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using ElementA = ElementA_;
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using ElementB = ElementB_;
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using ElementC = ElementC_;
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using ElementD = ElementD_;
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static constexpr int NumBuffersA = Tiler::NumBuffersA;
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static constexpr int NumBuffersB = Tiler::NumBuffersB;
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static constexpr int NumBuffersC = Tiler::NumBuffersC;
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static constexpr int NumBuffersD = Tiler::NumBuffersD;
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template <typename ProblemShape>
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static auto
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get_buffer_size_a(ProblemShape problem_shape) {
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auto a_buffer_layout = cute::make_layout(
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cute::make_shape(NumBuffersA, Tiler::get_local_a_shape(problem_shape), sizeof(ElementA))
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);
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return size(a_buffer_layout);
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}
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template <typename ProblemShape>
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static auto
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get_buffer_size_b(ProblemShape problem_shape) {
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auto b_buffer_layout = cute::make_layout(
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cute::make_shape(NumBuffersB, Tiler::get_local_b_shape(problem_shape), sizeof(ElementB))
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);
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return size(b_buffer_layout);
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}
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template <typename ProblemShape>
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static auto
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get_buffer_size_c(ProblemShape problem_shape) {
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auto c_buffer_layout = cute::make_layout(
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cute::make_shape(NumBuffersC, Tiler::get_local_c_shape(problem_shape), sizeof(ElementC))
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);
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return size(c_buffer_layout);
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}
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template <typename ProblemShape>
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static auto
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get_buffer_size_d(ProblemShape problem_shape) {
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auto d_buffer_layout = cute::make_layout(
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cute::make_shape(NumBuffersD, Tiler::get_local_d_shape(problem_shape), sizeof(ElementD))
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);
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return size(d_buffer_layout);
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}
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template <typename ProblemShape>
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static auto
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get_buffer_size(ProblemShape problem_shape) {
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size_t buffer_size = 0;
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if constexpr (NumBuffersA > 0) {
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buffer_size += get_buffer_size_a(problem_shape);
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}
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if constexpr (NumBuffersB > 0) {
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buffer_size += get_buffer_size_b(problem_shape);
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}
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if constexpr (NumBuffersC > 0) {
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buffer_size += get_buffer_size_c(problem_shape);
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}
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if constexpr (NumBuffersD > 0) {
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buffer_size += get_buffer_size_d(problem_shape);
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}
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return buffer_size;
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}
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// Buffer space: | buffer_A | buffer_B | buffer_C | buffer_D |
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// And buffer_{A,B,C,D}: | iter 1 | iter 2 | ... | iter TP - 1 |
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template <typename ProblemShape>
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static size_t
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get_buffer_offset_A(ProblemShape problem_shape) {
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return 0;
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}
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template <typename ProblemShape>
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static size_t
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get_buffer_offset_B(ProblemShape problem_shape) {
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return get_buffer_size_a(problem_shape);
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}
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template <typename ProblemShape>
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static size_t
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get_buffer_offset_C(ProblemShape problem_shape) {
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return get_buffer_size_a(problem_shape) + get_buffer_size_b(problem_shape);
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}
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template <typename ProblemShape>
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static size_t
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get_buffer_offset_D(ProblemShape problem_shape) {
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return get_buffer_size_a(problem_shape) + get_buffer_size_b(problem_shape) + get_buffer_size_c(problem_shape);
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}
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};
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} // namespace cutlass::distributed::device::detail
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///////////////////////////////////////////////////////////////////////////////
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