Files
composable_kernel/include/ck_tile/host/tensor_shuffle_utils.hpp
Khushbu Agarwal 8111572785 [CK_Tile] Support for preshuffle weight(B) quant tensor for block scale gemm (#3165)
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* formatting

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* [CK TILE GEMM] Refactor block_scale_gemm examples

- Split cpp file to reduce building time
- Support multiple GemmConfig

* [CK TILE GEMM] Refactor block_scale_gemm examples

- Update Readme

* enable prefill shapes

* [CK TILE GEMM] Refactor block_scale_gemm examples

- Add support for rowcol and tensor GEMM operations

* [CK TILE GEMM] Refactor block_scale_gemm examples

- Update README

* adding preshuffle quant as new parameter and its associated new files

* remove debugging statements

* adding test

* enable preshuffle quant with permuteN

* updating readme and correcponding gemmconfigs

* updating cmake file

* fixing CI failures for grouped quant gemm

* addressing review comments

* fixing CI issue

* addressing reveiw comments

* formatting

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* fixing aquant operator overlaoding

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---------

Co-authored-by: Cong Ma <congma13@amd.com>
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
2025-11-24 07:48:42 -08:00

171 lines
6.3 KiB
C++

#pragma once
#include <stdexcept>
namespace ck_tile {
template <typename T>
auto shuffle_aq(const ck_tile::HostTensor<T>* t, int block_aq_k)
{
if(t->get_lengths().size() != 2)
{
throw std::runtime_error("Host tensor is not rank 2 tensor.");
}
int m_ = t->get_lengths()[0];
int aqk_ = t->get_lengths()[1];
if(aqk_ % block_aq_k != 0)
{
throw std::runtime_error("shuffle_aq needs a aqk of multiple times of block_aq_k.");
}
ck_tile::HostTensor<T> t_view({m_, aqk_ / block_aq_k, block_aq_k});
std::copy(t->begin(), t->end(), t_view.begin());
return ck_tile::reference_permute(t_view, {1, 0, 2});
}
template <typename T>
auto shuffle_bq(const ck_tile::HostTensor<T>* t, int block_bq_k)
{
const auto& lengths = t->get_lengths();
const size_t rank = lengths.size();
// Validate block_bq_k divisibility based on rank
int bqk_dim = (rank == 5) ? lengths[4] : (rank == 2) ? lengths[0] : -1;
if(bqk_dim < 0)
{
throw std::runtime_error("shuffle_bq expects either rank-2 or rank-5 tensor, got rank " +
std::to_string(rank));
}
if(bqk_dim % block_bq_k != 0)
{
throw std::runtime_error("shuffle_bq needs bqk dimension to be a multiple of block_bq_k.");
}
// For TilePermuteN
if(rank == 5)
{
// Handle 5D tensor: [n, nrepeat, nwarp, n_warp_tile, bqk]
ck_tile::HostTensor<T> t_view({static_cast<int>(lengths[0]),
static_cast<int>(lengths[1]),
static_cast<int>(lengths[2]),
static_cast<int>(lengths[3]),
bqk_dim / block_bq_k,
block_bq_k});
std::copy(t->begin(), t->end(), t_view.begin());
return ck_tile::reference_permute(t_view, {4, 0, 1, 2, 3, 5});
}
else // rank == 2
{
// Handle 2D tensor: [bqk, n]
int n_ = lengths[1];
ck_tile::HostTensor<T> t_view({n_, bqk_dim / block_bq_k, block_bq_k});
std::copy(t->begin(), t->end(), t_view.begin());
return ck_tile::reference_permute(t_view, {1, 0, 2});
}
}
template <typename GemmConfig, typename T>
auto shuffle_b(const ck_tile::HostTensor<T>& t)
{
assert(t.get_lengths().size() == 2);
int n_ = t.get_lengths()[1];
int k_ = t.get_lengths()[0];
if(ck_tile::is_gfx12_supported())
{
constexpr int divisor = 2;
constexpr int kABK1PerLane = 8;
constexpr int kABK0PerLane = GemmConfig::K_Warp_Tile / divisor / kABK1PerLane;
ck_tile::HostTensor<T> t_view({n_ / GemmConfig::N_Warp_Tile,
GemmConfig::N_Warp_Tile,
k_ / GemmConfig::K_Warp_Tile,
kABK0PerLane,
divisor,
kABK1PerLane});
std::copy(t.begin(), t.end(), t_view.begin());
return ck_tile::reference_permute(t_view, {0, 2, 4, 1, 3, 5});
}
else
{
int divisor = 1;
if(ck_tile::is_gfx11_supported())
{
divisor = 1;
}
else
{
assert(is_wave32() == false);
divisor = GemmConfig::N_Warp_Tile == 32 ? 2 : 4;
}
ck_tile::HostTensor<T> t_view({n_ / GemmConfig::N_Warp_Tile,
GemmConfig::N_Warp_Tile,
k_ / GemmConfig::K_Warp_Tile,
divisor,
GemmConfig::K_Warp_Tile / divisor});
std::copy(t.begin(), t.end(), t_view.begin());
return ck_tile::reference_permute(t_view, {0, 2, 3, 1, 4});
}
}
template <typename GemmConfig, typename T>
auto bq_permuteN(const ck_tile::HostTensor<T>& t)
{
assert(t.get_lengths().size() == 2);
int n_ = t.get_lengths()[1];
int bqk_ = t.get_lengths()[0];
constexpr int NRepeat = GemmConfig::N_Tile / GemmConfig::N_Warp_Tile / GemmConfig::N_Warp;
ck_tile::HostTensor<T> t_view(
{n_ / GemmConfig::N_Tile, GemmConfig::N_Warp, GemmConfig::N_Warp_Tile, NRepeat, bqk_});
std::copy(t.begin(), t.end(), t_view.begin());
return ck_tile::reference_permute(t_view, {0, 3, 1, 2, 4});
}
template <typename GemmConfig, typename T>
auto shuffle_b_permuteN(const ck_tile::HostTensor<T>& t)
{
assert(t.get_lengths().size() == 2);
int n_ = t.get_lengths()[1];
int k_ = t.get_lengths()[0];
constexpr int NRepeat = GemmConfig::N_Tile / GemmConfig::N_Warp_Tile / GemmConfig::N_Warp;
if(ck_tile::is_gfx12_supported())
{
constexpr int divisor = 2;
constexpr int kABK1PerLane = 8;
constexpr int kABK0PerLane = GemmConfig::K_Warp_Tile / divisor / kABK1PerLane;
ck_tile::HostTensor<T> t_view({n_ / GemmConfig::N_Tile,
GemmConfig::N_Warp,
GemmConfig::N_Warp_Tile,
NRepeat,
k_ / GemmConfig::K_Warp_Tile,
kABK0PerLane,
divisor,
kABK1PerLane});
std::copy(t.begin(), t.end(), t_view.begin());
return ck_tile::reference_permute(t_view, {0, 3, 1, 4, 6, 5, 2, 7});
}
else
{
int divisor = 1;
if(ck_tile::is_gfx11_supported())
{
divisor = 1;
}
else
{
assert(is_wave32() == false);
divisor = GemmConfig::N_Warp_Tile == 32 ? 2 : 4;
}
ck_tile::HostTensor<T> t_view({n_ / GemmConfig::N_Tile,
GemmConfig::N_Warp,
GemmConfig::N_Warp_Tile,
NRepeat,
k_ / GemmConfig::K_Warp_Tile,
divisor,
GemmConfig::K_Warp_Tile / divisor});
std::copy(t.begin(), t.end(), t_view.begin());
return ck_tile::reference_permute(t_view, {0, 3, 1, 4, 5, 2, 6});
}
}
} // namespace ck_tile