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4c57157d50
* Do not use warpSize as compile time constant as it is removed * Update tile_image_to_column_shape.hpp update warpSize usage. * clean-up all use of warpSize, make sure code builds * fix --------- Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com> Co-authored-by: illsilin <Illia.Silin@amd.com> Co-authored-by: Bartlomiej Kocot <barkocot@amd.com>
105 lines
3.6 KiB
C++
105 lines
3.6 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck_tile/core.hpp"
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#include "ck_tile/host/kernel_launch.hpp"
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#include "ck_tile/ops/smoothquant.hpp"
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#include <string>
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template <typename InputType, typename OutputType>
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struct MoeSmoothquantTypeConfig
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{
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using XDataType = InputType;
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using SmoothScaleDataType = float;
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using YScaleDataType = float;
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using QYDataType = OutputType;
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using ComputeDataType = float;
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};
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// runtime args
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struct moe_smoothquant_args : public ck_tile::MoeSmoothquantHostArgs
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{
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};
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// this is used to pattern-match internl kernel implementation, not to instantiate kernel
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template <typename InputType_,
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typename OutputType_,
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ck_tile::index_t Repeat_M_, // each thread repeat along M
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ck_tile::index_t Repeat_N_, // each thread repeat along N
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ck_tile::index_t ThreadPerBlock_M_, // num threads along M
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ck_tile::index_t ThreadPerBlock_N_, // num threads along N
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ck_tile::index_t Vector_N_, // vector size along N
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bool kPadN_,
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bool kTwoPass_>
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struct moe_smoothquant_traits_
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{
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using InputType = ck_tile::remove_cvref_t<InputType_>;
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using OutputType = ck_tile::remove_cvref_t<OutputType_>;
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static constexpr bool is_warp_per_row = ThreadPerBlock_N_ <= WarpSize;
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static_assert((ThreadPerBlock_M_ * ThreadPerBlock_N_) % WarpSize == 0);
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static constexpr ck_tile::index_t total_warps =
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(ThreadPerBlock_M_ * ThreadPerBlock_N_) / WarpSize;
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// num of warps along m
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static constexpr ck_tile::index_t BlockWarps_M = []() {
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if constexpr(is_warp_per_row)
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{
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static_assert(WarpSize % ThreadPerBlock_N_ == 0);
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return total_warps * (WarpSize / ThreadPerBlock_N_);
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}
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else
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{
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// static_assert(WarpSize % ThreadPerBlock_M_ == 0);
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return total_warps / (ThreadPerBlock_N_ / WarpSize);
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}
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}();
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// num of warps along n
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static constexpr ck_tile::index_t BlockWarps_N = []() {
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if constexpr(is_warp_per_row)
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{
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static_assert(WarpSize % ThreadPerBlock_N_ == 0);
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return 1;
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}
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else
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{
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static_assert(ThreadPerBlock_N_ % WarpSize == 0);
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return ThreadPerBlock_N_ / WarpSize;
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}
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}();
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static constexpr ck_tile::index_t Repeat_M = Repeat_M_;
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static constexpr ck_tile::index_t Repeat_N = Repeat_N_;
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static constexpr ck_tile::index_t Block_M = Repeat_M_ * ThreadPerBlock_M_;
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static constexpr ck_tile::index_t Block_N = Repeat_N_ * ThreadPerBlock_N_ * Vector_N_;
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static constexpr ck_tile::index_t Warp_M = ThreadPerBlock_M_ / BlockWarps_M;
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static constexpr ck_tile::index_t Warp_N = ThreadPerBlock_N_ / BlockWarps_N * Vector_N_;
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using BlockTile = ck_tile::sequence<Block_M, Block_N>;
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using BlockWarps = ck_tile::sequence<BlockWarps_M, BlockWarps_N>;
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using WarpTile = ck_tile::sequence<Warp_M, Warp_N>;
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using Vector = ck_tile::sequence<1, Vector_N_>;
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using Shape = ck_tile::Generic2dBlockShape<BlockTile, BlockWarps, WarpTile, Vector>;
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static constexpr bool kPadN = kPadN_;
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static constexpr bool kTwoPass = kTwoPass_;
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};
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template <typename Traits_>
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float moe_smoothquant_(const ck_tile::stream_config& s, moe_smoothquant_args a);
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// This is the public API, will be generated by script
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struct moe_smoothquant_traits
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{
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std::string in_type; // input type
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std::string out_type; // output type
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};
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float moe_smoothquant(moe_smoothquant_traits, moe_smoothquant_args, const ck_tile::stream_config&);
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