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https://github.com/ROCm/composable_kernel.git
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[Ck_tile] smoothquant (#1617)
* fix compile error * fix typo of padding * Add smoothquant op * Add smoothquant instance library * refine type * add test script * Re-generate smoothquant.hpp * Always use 'current year' in copyright * use Generic2dBlockShape instead * Add vector = 8 instance back * Find exe path automatically * Simplify the api condition * Remove debugging code * update year * Add blank line between function declaration * explicitly cast return value to dim3 * refine return value * Fix default warmup and repeat value * Add comment * refactor sommthquant cmake * Add README * Fix typo --------- Co-authored-by: Po Yen, Chen <PoYen.Chen@amd.com>
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include/ck_tile/ops/smoothquant/kernel/smoothquant_kernel.hpp
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176
include/ck_tile/ops/smoothquant/kernel/smoothquant_kernel.hpp
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2024, 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/ops/common.hpp"
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namespace ck_tile {
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// host side args
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struct SmoothquantHostArgs
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{
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const void* p_x; // [m ,n], input, fp16/bf16
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const void* p_xscale; // [1, n], input, columnwise scale, fp32
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void* p_yscale; // [m, 1], output, rowwise quant scale (amax / 127) of (p_x * p_xscale)
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void* p_qy; // [m, n], output, p_x * p_xscale / p_yscale
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index_t m;
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index_t n;
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index_t stride; // row_stride
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};
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// TODO: Extract some type to wrapper class
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template <typename Pipeline_>
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struct Smoothquant
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{
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using Pipeline = remove_cvref_t<Pipeline_>;
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using Problem = typename Pipeline::Problem;
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using XDataType = remove_cvref_t<typename Problem::XDataType>;
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using XScaleDataType = remove_cvref_t<typename Problem::XScaleDataType>;
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using ComputeDataType = remove_cvref_t<typename Problem::ComputeDataType>;
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using YScaleDataType = remove_cvref_t<typename Problem::YScaleDataType>;
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using QYDataType = remove_cvref_t<typename Problem::QYDataType>;
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static constexpr index_t Block_M = Problem::BlockShape::Block_M;
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static constexpr index_t Block_N = Problem::BlockShape::Block_N;
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static constexpr bool kPadM = false; // always no need to pad along M
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static constexpr bool kPadN = Problem::kPadN;
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static constexpr bool kTwoPass = Problem::kTwoPass;
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static constexpr index_t ThreadPerWarp_N = Problem::BlockShape::ThreadPerWarp_N;
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static constexpr index_t Vector_N = Problem::BlockShape::Vector_N;
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static constexpr index_t Repeat_N = Problem::BlockShape::Repeat_N;
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static constexpr auto I0 = number<0>{};
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static constexpr auto I1 = number<1>{};
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struct Kargs
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{
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const void* p_x;
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const void* p_xscale;
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void* p_yscale;
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void* p_qy;
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index_t m;
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index_t n;
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index_t stride; // row_stride
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};
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using Hargs = SmoothquantHostArgs;
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CK_TILE_HOST static constexpr Kargs MakeKargs(const Hargs& hargs)
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{
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return Kargs{
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hargs.p_x, hargs.p_xscale, hargs.p_yscale, hargs.p_qy, hargs.m, hargs.n, hargs.stride};
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}
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CK_TILE_HOST static constexpr auto GridSize(const Hargs& hargs)
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{
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return dim3(integer_divide_ceil(hargs.m, Block_M));
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}
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CK_TILE_HOST static constexpr auto BlockSize() { return Problem::BlockShape::BlockSize; }
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// clang-format off
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template <typename T> struct t2s;
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template <> struct t2s<float> { static constexpr const char * name = "fp32"; };
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template <> struct t2s<ck_tile::fp16_t> { static constexpr const char * name = "fp16"; };
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template <> struct t2s<ck_tile::bf16_t> { static constexpr const char * name = "bf16"; };
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template <> struct t2s<ck_tile::fp8_t> { static constexpr const char * name = "fp8"; };
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template <> struct t2s<ck_tile::bf8_t> { static constexpr const char * name = "bf8"; };
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// clang-format on
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// in byte
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CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize() { return Pipeline::GetSmemSize(); }
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CK_TILE_HOST static std::string GetName()
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{
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// clang-format off
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using S_ = typename Problem::BlockShape;
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auto surfix = [&] () {
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std::string n;
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if (kPadN) n += "_pn";
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if (kTwoPass) n += "_2p";
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return n; }();
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#define _SS_ std::string
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#define _TS_ std::to_string
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return _SS_("smoothquant_fwd_") + _SS_(t2s<XDataType>::name) + "_" +
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_TS_(S_::Block_M) + "x" + _TS_(S_::Block_N) + "_" + _TS_(S_::WarpPerBlock_M) + "x" + _TS_(S_::WarpPerBlock_N) + "_" +
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_TS_(S_::Warp_M) + "x" + _TS_(S_::Warp_N) + "_" + _TS_(S_::Vector_M) + "x" + _TS_(S_::Vector_N) + "_" +
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_SS_(Pipeline::name) + surfix;
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#undef _SS_
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#undef _TS_
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// clang-format on
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}
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CK_TILE_DEVICE void operator()(Kargs kargs) const
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{
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const auto iM = get_block_id() * Block_M;
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const auto x_window = [&]() {
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const auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
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static_cast<const XDataType*>(kargs.p_x),
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make_tuple(kargs.m, kargs.n),
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make_tuple(kargs.stride, 1),
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number<Vector_N>{},
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number<1>{});
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const auto tmp2_ = pad_tensor_view(
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tmp_, make_tuple(number<Block_M>{}, number<Block_N>{}), sequence<kPadM, kPadN>{});
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return make_tile_window(
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tmp2_, make_tuple(number<Block_M>{}, number<Block_N>{}), {iM, 0});
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}();
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const auto xscale_window = [&]() {
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const auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
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static_cast<const XScaleDataType*>(kargs.p_xscale),
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make_tuple(kargs.n),
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make_tuple(1),
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number<Vector_N>{},
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number<1>{});
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const auto tmp2_ =
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pad_tensor_view(tmp_, make_tuple(number<Block_N>{}), sequence<kPadN>{});
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return make_tile_window(tmp2_, make_tuple(number<Block_N>{}), {0});
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}();
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auto yscale_window = [&]() {
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const auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
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static_cast<YScaleDataType*>(kargs.p_yscale),
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make_tuple(kargs.m),
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make_tuple(1),
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number<1>{});
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const auto tmp2_ =
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pad_tensor_view(tmp_, make_tuple(number<Block_M>{}), sequence<kPadM>{});
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return make_tile_window(tmp2_, make_tuple(number<Block_M>{}), {iM});
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}();
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auto qy_window = [&]() {
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auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
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static_cast<QYDataType*>(kargs.p_qy),
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make_tuple(kargs.m, kargs.n),
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make_tuple(kargs.stride, 1),
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number<Vector_N>{},
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number<1>{});
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auto tmp2_ = pad_tensor_view(
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tmp_, make_tuple(number<Block_M>{}, number<Block_N>{}), sequence<kPadM, kPadN>{});
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return make_tile_window(
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tmp2_, make_tuple(number<Block_M>{}, number<Block_N>{}), {iM, 0});
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}();
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__shared__ char smem[GetSmemSize()];
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Pipeline{}(x_window, xscale_window, yscale_window, qy_window, kargs.n, smem);
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}
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};
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} // namespace ck_tile
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