mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-04-20 06:49:15 +00:00
[Ck tile] support rmsnorm and related fusion (#1605)
* Add reduce2d new api
* Prevent user use cross warp reduction
* Fix bug of std caculation
* Add rmsnorm2d
* Add rmsnorm small example
* Remove static assert to prevent compile fail
* Add script to test performance and correctness
* Add missing cmake change
* refine naming
* refine example of rmsnorm
* Fix bug of rmsnorm
* Refine naming
* Fix cmake
* clang format
* Refine pipeline name
* Add add_rmsnorm2d_rdquant kernel
* Add reduce op
* host verification
* Fix bug of one pass pipeline
* Refine tile size
* Add two pass pipeline
* Rename two pass to three pass
* Fix bug of kSaveX == false
* Add instance library
* Add test script
* Fix bug of x verification
* Add save_x to trait
* Add README
* Move reduce2d into reduce folder
* Fix bug of welford when number of m warp > 1
* remove reduncant comment
* 1. move 06_rmsnorm2d to 10_rmsnorm2d
2. move 07_add_rmsnorm2d_rdquant to 11_add_rmsnorm2d_rdquant
* clang format and add missing header
* Add host validation of add + layernorm2d + rsquant
* Revert "Add host validation of add + layernorm2d + rsquant"
This reverts commit 936cb45797.
* Remove deprecated flag
This commit is contained in:
rocking
202
include/ck_tile/ops/rmsnorm2d/kernel/rmsnorm2d_fwd_kernel.hpp
Normal file
202
include/ck_tile/ops/rmsnorm2d/kernel/rmsnorm2d_fwd_kernel.hpp
Normal file
@@ -0,0 +1,202 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ck_tile/core.hpp"
|
||||
#include "ck_tile/ops/common.hpp"
|
||||
|
||||
namespace ck_tile {
|
||||
|
||||
// host side args
|
||||
struct Rmsnorm2dFwdHostArgs
|
||||
{
|
||||
const void* p_x;
|
||||
const void* p_gamma;
|
||||
|
||||
void* p_y;
|
||||
void* p_invRms;
|
||||
|
||||
float epsilon;
|
||||
|
||||
index_t m;
|
||||
index_t n;
|
||||
index_t stride; // row_stride
|
||||
};
|
||||
|
||||
// TODO: Extract some type to wrapper class
|
||||
template <typename Pipeline_>
|
||||
struct Rmsnorm2dFwd
|
||||
{
|
||||
using Pipeline = remove_cvref_t<Pipeline_>;
|
||||
using Problem = typename Pipeline::Problem;
|
||||
|
||||
using XDataType = remove_cvref_t<typename Problem::XDataType>;
|
||||
using GammaDataType = remove_cvref_t<typename Problem::GammaDataType>;
|
||||
using ComputeDataType = remove_cvref_t<typename Problem::ComputeDataType>;
|
||||
using YDataType = remove_cvref_t<typename Problem::YDataType>;
|
||||
using InvRmsDataType = remove_cvref_t<typename Problem::InvRmsDataType>;
|
||||
|
||||
static constexpr bool kHasGamma = !std::is_same_v<GammaDataType, null_type>;
|
||||
static constexpr bool kSaveInvRms = Problem::kSaveInvRms;
|
||||
|
||||
static constexpr index_t Block_M = Problem::BlockShape::Block_M;
|
||||
static constexpr index_t Block_N = Problem::BlockShape::Block_N;
|
||||
static constexpr bool kPadM = false; // always no need to pad along M
|
||||
static constexpr bool kPadN = Problem::kPadN;
|
||||
static constexpr bool kTwoPass = Problem::kTwoPass;
|
||||
|
||||
static constexpr index_t ThreadPerWarp_N = Problem::BlockShape::ThreadPerWarp_N;
|
||||
static constexpr index_t Vector_N = Problem::BlockShape::Vector_N;
|
||||
static constexpr index_t Repeat_N = Problem::BlockShape::Repeat_N;
|
||||
|
||||
static constexpr auto I0 = number<0>{};
|
||||
static constexpr auto I1 = number<1>{};
|
||||
|
||||
struct Kargs
|
||||
{
|
||||
const void* p_x;
|
||||
const void* p_gamma;
|
||||
|
||||
void* p_y;
|
||||
void* p_invRms;
|
||||
|
||||
float epsilon;
|
||||
|
||||
index_t m;
|
||||
index_t n;
|
||||
index_t stride; // row_stride
|
||||
};
|
||||
using Hargs = Rmsnorm2dFwdHostArgs;
|
||||
|
||||
CK_TILE_HOST static constexpr Kargs MakeKargs(const Hargs& hargs)
|
||||
{
|
||||
return Kargs{hargs.p_x,
|
||||
hargs.p_gamma,
|
||||
hargs.p_y,
|
||||
hargs.p_invRms,
|
||||
hargs.epsilon,
|
||||
hargs.m,
|
||||
hargs.n,
|
||||
hargs.stride};
|
||||
}
|
||||
|
||||
CK_TILE_HOST static constexpr auto GridSize(const Hargs& hargs)
|
||||
{
|
||||
return (hargs.m + Block_M - 1) / Block_M;
|
||||
}
|
||||
|
||||
CK_TILE_HOST static constexpr auto BlockSize() { return Problem::BlockShape::BlockSize; }
|
||||
|
||||
// clang-format off
|
||||
template <typename T> struct t2s;
|
||||
template <> struct t2s<float> { static constexpr const char * name = "fp32"; };
|
||||
template <> struct t2s<ck_tile::fp16_t> { static constexpr const char * name = "fp16"; };
|
||||
template <> struct t2s<ck_tile::bf16_t> { static constexpr const char * name = "bf16"; };
|
||||
template <> struct t2s<ck_tile::fp8_t> { static constexpr const char * name = "fp8"; };
|
||||
template <> struct t2s<ck_tile::bf8_t> { static constexpr const char * name = "bf8"; };
|
||||
// clang-format on
|
||||
|
||||
// in byte
|
||||
CK_TILE_HOST_DEVICE static constexpr index_t GetSmemSize() { return Pipeline::GetSmemSize(); }
|
||||
|
||||
CK_TILE_HOST static std::string GetName()
|
||||
{
|
||||
// clang-format off
|
||||
using S_ = typename Problem::BlockShape;
|
||||
auto surfix = [&] () {
|
||||
std::string n;
|
||||
if (kPadN) n += "_pn";
|
||||
if (kSaveInvRms) n += "_rms";
|
||||
if (kTwoPass) n += "_2p";
|
||||
return n; }();
|
||||
|
||||
#define _SS_ std::string
|
||||
#define _TS_ std::to_string
|
||||
return _SS_("rmsnorm2d_fwd_") + _SS_(t2s<XDataType>::name) + "_" +
|
||||
_TS_(S_::Block_M) + "x" + _TS_(S_::Block_N) + "_" + _TS_(S_::WarpPerBlock_M) + "x" + _TS_(S_::WarpPerBlock_N) + "_" +
|
||||
_TS_(S_::Warp_M) + "x" + _TS_(S_::Warp_N) + "_" + _TS_(S_::Vector_M) + "x" + _TS_(S_::Vector_N) + "_" +
|
||||
_SS_(Pipeline::name) + surfix;
|
||||
#undef _SS_
|
||||
#undef _TS_
|
||||
// clang-format on
|
||||
}
|
||||
|
||||
CK_TILE_DEVICE void operator()(Kargs kargs) const
|
||||
{
|
||||
const auto iM = get_block_id() * Block_M;
|
||||
|
||||
const auto x_window = [&]() {
|
||||
const auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
|
||||
static_cast<const XDataType*>(kargs.p_x),
|
||||
make_tuple(kargs.m, kargs.n),
|
||||
make_tuple(kargs.stride, 1),
|
||||
number<Vector_N>{},
|
||||
number<1>{});
|
||||
|
||||
const auto tmp2_ = pad_tensor_view(
|
||||
tmp_, make_tuple(number<Block_M>{}, number<Block_N>{}), sequence<kPadM, kPadN>{});
|
||||
return make_tile_window(
|
||||
tmp2_, make_tuple(number<Block_M>{}, number<Block_N>{}), {iM, 0});
|
||||
}();
|
||||
|
||||
const auto gamma_window = [&]() {
|
||||
const auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
|
||||
static_cast<const GammaDataType*>(kargs.p_gamma),
|
||||
make_tuple(kargs.n),
|
||||
make_tuple(1),
|
||||
number<Vector_N>{},
|
||||
number<1>{});
|
||||
|
||||
const auto tmp2_ =
|
||||
pad_tensor_view(tmp_, make_tuple(number<Block_N>{}), sequence<kPadM>{});
|
||||
|
||||
return make_tile_window(tmp2_, make_tuple(number<Block_N>{}), {0});
|
||||
}();
|
||||
|
||||
auto y_window = [&]() {
|
||||
auto tmp_ = make_naive_tensor_view<address_space_enum::global>(
|
||||
static_cast<YDataType*>(kargs.p_y),
|
||||
make_tuple(kargs.m, kargs.n),
|
||||
make_tuple(kargs.stride, 1),
|
||||
number<Vector_N>{},
|
||||
number<1>{});
|
||||
|
||||
auto tmp2_ = pad_tensor_view(
|
||||
tmp_, make_tuple(number<Block_M>{}, number<Block_N>{}), sequence<kPadM, kPadN>{});
|
||||
return make_tile_window(
|
||||
tmp2_, make_tuple(number<Block_M>{}, number<Block_N>{}), {iM, 0});
|
||||
}();
|
||||
|
||||
auto inv_rms_window = [&]() {
|
||||
if constexpr(kSaveInvRms)
|
||||
{
|
||||
const auto inv_rms_m = [&]() {
|
||||
const auto inv_rms_dram_naive =
|
||||
make_naive_tensor_view_packed<address_space_enum::global>(
|
||||
static_cast<InvRmsDataType*>(kargs.p_invRms),
|
||||
make_tuple(kargs.m),
|
||||
number<1>{});
|
||||
|
||||
return pad_tensor_view(
|
||||
inv_rms_dram_naive, make_tuple(number<Block_M>{}), sequence<kPadM>{});
|
||||
}();
|
||||
return make_tile_window(inv_rms_m, make_tuple(number<Block_M>{}), {iM});
|
||||
}
|
||||
else
|
||||
return make_null_tile_window(make_tuple(number<Block_M>{}));
|
||||
}();
|
||||
|
||||
__shared__ char smem[GetSmemSize()];
|
||||
|
||||
Pipeline{}(x_window,
|
||||
gamma_window,
|
||||
y_window,
|
||||
inv_rms_window,
|
||||
static_cast<const ComputeDataType>(kargs.epsilon),
|
||||
kargs.n,
|
||||
smem);
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace ck_tile
|
||||
78
include/ck_tile/ops/rmsnorm2d/kernel/rmsnorm2d_fwd_shape.hpp
Normal file
78
include/ck_tile/ops/rmsnorm2d/kernel/rmsnorm2d_fwd_shape.hpp
Normal file
@@ -0,0 +1,78 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ck_tile/core.hpp"
|
||||
|
||||
namespace ck_tile {
|
||||
/*
|
||||
// clang-format off
|
||||
|
||||
4-level descriptor: BlockTile-> WarpPerBlock-> WarpTile-> Vector
|
||||
|
||||
Block_N (Warp_N * WarpPerBlock_N * Repeat_N )
|
||||
+<----------------------< Repeat_N(2)>--------------------->+
|
||||
| |
|
||||
+<-- <WarpPerBlock_N(2)> -->+
|
||||
Warp_N
|
||||
+--------------+--------------+--------------+--------------+----+----------------+
|
||||
Warp_M | wrap_0 | wrap_1 | | ^ ^
|
||||
+--------------+--------------+ | <WarpPerBlock_M(2)> |
|
||||
| wrap_2 | wrap_3 | | v
|
||||
+--------------+--------------+--------------+--------------+----+ Block_M
|
||||
| | |
|
||||
+ + |
|
||||
| | | v
|
||||
+--------------+--------------+--------------+--------------+ +
|
||||
|
||||
each Warp-tile (e.g 16 thrd per row)
|
||||
|
||||
Vector_N (contiguous pixels each thrd holds along N, or vector size)
|
||||
+-----------+-----------+-----------+-----------+-----------+
|
||||
| thrd_0 | thrd_1 | thrd_2 | thrd_3 | ... Vector_M
|
||||
+-----------+-----------+-----------+-----------+-----------+
|
||||
| thrd_16 | thrd_17 | thrd_18 | thrd_19 | ...
|
||||
+-----------+-----------+-----------+-----------+-----------+
|
||||
// clang-format on
|
||||
*/
|
||||
template <typename BlockTile_, // block size, seq<M, N>
|
||||
typename WarpPerBlock_, // num warps along seq<M, N>
|
||||
typename WarpTile_, // warp size, seq<M, N>
|
||||
typename Vector_, // contiguous pixels(vector size) along seq<M, N>
|
||||
index_t BlockSize_ =
|
||||
warpSize* reduce_on_sequence(WarpPerBlock_{}, multiplies{}, number<1>{})>
|
||||
struct Rmsnorm2dShape
|
||||
{
|
||||
// block size
|
||||
static constexpr index_t Block_M = BlockTile_::at(number<0>{});
|
||||
static constexpr index_t Block_N = BlockTile_::at(number<1>{});
|
||||
|
||||
// num warps along seq<M, N>, within each block
|
||||
static constexpr index_t WarpPerBlock_M = WarpPerBlock_::at(number<0>{});
|
||||
static constexpr index_t WarpPerBlock_N = WarpPerBlock_::at(number<1>{});
|
||||
|
||||
// warp size
|
||||
static constexpr index_t Warp_M = WarpTile_::at(number<0>{});
|
||||
static constexpr index_t Warp_N = WarpTile_::at(number<1>{});
|
||||
|
||||
static_assert(Block_M % (WarpPerBlock_M * Warp_M) == 0);
|
||||
static_assert(Block_N % (WarpPerBlock_N * Warp_N) == 0);
|
||||
// repeat of each thread along seq<M, N>
|
||||
static constexpr index_t Repeat_M = Block_M / (WarpPerBlock_M * Warp_M);
|
||||
static constexpr index_t Repeat_N = Block_N / (WarpPerBlock_N * Warp_N);
|
||||
|
||||
// vector size along seq<M, N>
|
||||
static constexpr index_t Vector_M = Vector_::at(number<0>{});
|
||||
static constexpr index_t Vector_N = Vector_::at(number<1>{});
|
||||
|
||||
static_assert(Warp_M % Vector_M == 0);
|
||||
static_assert(Warp_N % Vector_N == 0);
|
||||
// num of threads along seq<M, N>, within each warp
|
||||
static constexpr index_t ThreadPerWarp_M = Warp_M / Vector_M;
|
||||
static constexpr index_t ThreadPerWarp_N = Warp_N / Vector_N;
|
||||
|
||||
static constexpr index_t BlockSize = BlockSize_;
|
||||
};
|
||||
|
||||
} // namespace ck_tile
|
||||
Reference in New Issue
Block a user