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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

69 lines
2.3 KiB
C++

// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#pragma once
#include "ck/utility/common_header.hpp"
#include "ck/utility/math.hpp"
#include "ck/utility/inner_product_dpp8.hpp"
namespace ck {
namespace dpp8 {
template <class ABDataType>
struct dpp_datatypes;
template <>
struct dpp_datatypes<half_t>
{
// Dot product of `half2_t` and `half2_t` to get `float`. Reducing 2 elements from K in a
// single instruction.
using a_dtype = half_t;
using b_dtype = half_t;
using c_dtype = float;
static constexpr index_t k_per_instr = 2;
};
template <index_t MPerThread,
index_t NPerThread,
index_t KPerThread,
class BaseInputType,
class AVecDataType,
class BVecDataType,
class CVecDataType,
bool ShareA>
struct DppLanegroupGemm
{
using datatypes_conf = dpp_datatypes<BaseInputType>;
using ADataType = typename datatypes_conf::a_dtype;
using BDataType = typename datatypes_conf::b_dtype;
using CDataType = typename datatypes_conf::c_dtype;
__device__ void Run(const AVecDataType& a_vec, const BVecDataType& b_vec, CVecDataType& c_vec)
{
constexpr index_t num_c_elems_per_thread = ShareA ? MPerThread : NPerThread;
const vector_type<ADataType, KPerThread> a_vector{a_vec};
const vector_type<BDataType, KPerThread> b_vector{b_vec};
static_for<0, num_c_elems_per_thread, 1>{}([&](auto c_idx) {
float c = c_vec.template AsType<CDataType>()(c_idx);
// Next `c_idx` implies that we need to pull data from the next lane.
constexpr index_t source_lane = c_idx;
static_for<0, KPerThread / datatypes_conf::k_per_instr, 1>{}([&](auto k_chunk) {
const auto a_k_vec = a_vector.template AsType<AVecDataType>()[k_chunk];
const auto b_k_vec = b_vector.template AsType<BVecDataType>()[k_chunk];
ck::dpp8::
inner_product_dpp<AVecDataType, BVecDataType, CDataType, source_lane, ShareA>(
a_k_vec, b_k_vec, c);
});
c_vec.template AsType<CDataType>()(c_idx) = c;
});
}
};
} // namespace dpp8
} // namespace ck