feat(block_scale_gemm): Support RRR-R, CRR-R and CCR-C layout for aquant quant mode (#3193)

* [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

* feat(gemm_quant): add RRR and CRR layout support for aquant gemm

* test(gemm_quant): add unit tests for RRR and CRR layout support for aquant gemm

* fix: compilation error on gfx950 by omitting support for the gpu in example and unit tests

* fix: test cases compilation failure due to PR# 2095

* fix: make condition to filter out tests for gfx950 more explicit

* need to support the gfx950

* fix: add layout suppot for gfx950

* Extend pk_int4_t support for block_scale_gemm aquant CR and RR layout (#3277)

* WIP: add support for pk_int4_t for aquant mode layouts RR and CR

* test(block_scale_gemm): add unit tests for CRR and RRR layout when data type is int4 && aquant

* fix: compile time error for gfx950

* fix: minor bug where is_a_load_tr_v() was mising

* feat(block_scale_gemm): Add layout Col-Col-Row-Col (ABC-Aquant) for tensors in aquant (#3318)

* feat(block_scale_gemm): Add layout Col-Col-Row-Col (ABC-Aquant) for tensors in aquant

* test: add unit tests for new layout support CCRC for aquant block scale gemm

* docs: update changelog with new layout support info

* Update CHANGELOG.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* refactor: break test instances into multiple cpp files to reduce build time (#3319)

* feat(block_scale_gemm): Add layout Col-Col-Row-Col (ABC-Aquant) for tensors in aquant

* test: add unit tests for new layout support CCRC for aquant block scale gemm

* refactor: break test instances into multiple cpp files to reduce build time

* chore: rename file for better code readability

* fix: merge conflict resolution

* fix: remove memory pipeline because new layout is not compatible

* build: resolve build errors for gfx950 by modifying is_a_load_tr() & is_b_load_tr()

* refactor: address review comments

* solve the conflict

---------

Co-authored-by: Cong Ma <congma13@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Aviral Goel
2025-12-03 02:59:07 +04:00
committed by GitHub
parent 2c284a1780
commit 6cb0bc2d11
22 changed files with 603 additions and 289 deletions

View File

@@ -9,11 +9,37 @@ endif()
list(APPEND TEST_GEMM_COMPILE_OPTIONS -mllvm -enable-noalias-to-md-conversion=0)
if(GPU_TARGETS MATCHES "gfx94|gfx95|gfx12")
# Typed Test Suite for GEMM Quantization
add_gtest_executable(test_tile_gemm_quant_typed
test_gemm_quant_typed.cpp
# Typed Test Suite for GEMM Quantization - split into multiple files to reduce compile time
# AQuant tests
add_gtest_executable(test_tile_gemm_quant_aquant
test_gemm_quant_aquant.cpp
)
target_compile_options(test_tile_gemm_quant_typed PRIVATE ${TEST_GEMM_COMPILE_OPTIONS})
target_compile_options(test_tile_gemm_quant_aquant PRIVATE ${TEST_GEMM_COMPILE_OPTIONS})
# BQuant tests (without PreshuffleB)
add_gtest_executable(test_tile_gemm_quant_bquant
test_gemm_quant_bquant.cpp
)
target_compile_options(test_tile_gemm_quant_bquant PRIVATE ${TEST_GEMM_COMPILE_OPTIONS})
# BQuant tests (with PreshuffleB)
add_gtest_executable(test_tile_gemm_quant_bquant_preshuffle
test_gemm_quant_bquant_preshuffle.cpp
)
target_compile_options(test_tile_gemm_quant_bquant_preshuffle PRIVATE ${TEST_GEMM_COMPILE_OPTIONS})
# RowColQuant tests
add_gtest_executable(test_tile_gemm_quant_rowcol
test_gemm_quant_rowcol.cpp
)
target_compile_options(test_tile_gemm_quant_rowcol PRIVATE ${TEST_GEMM_COMPILE_OPTIONS})
# TensorQuant tests
add_gtest_executable(test_tile_gemm_quant_tensor
test_gemm_quant_tensor.cpp
)
target_compile_options(test_tile_gemm_quant_tensor PRIVATE ${TEST_GEMM_COMPILE_OPTIONS})
else()
message(DEBUG "Skipping ck_tile quant gemm tests for current target")
endif()

View File

@@ -0,0 +1,95 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck_tile/host.hpp"
#include "ck_tile/ops/gemm.hpp"
#include <gtest/gtest.h>
#include <memory>
#include "test_gemm_quant_fixtures.hpp"
// Type aliases for readability
using RowMajor = ck_tile::tensor_layout::gemm::RowMajor;
using ColumnMajor = ck_tile::tensor_layout::gemm::ColumnMajor;
using FP8 = ck_tile::fp8_t;
using BF8 = ck_tile::bf8_t;
using Half = ck_tile::half_t;
using PkInt4 = ck_tile::pk_int4_t;
using AQuantGrouped = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::AQuantGrouped>;
using BQuantGrouped = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::BQuantGrouped>;
using RowColQuant = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::RowColQuant>;
using TensorQuant = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::TensorQuant>;
using GroupSize = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 128>>;
using GroupSize64 = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 64>>;
// 2d block sizes for BQuant
using GroupSize2D8N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 8, 128>>;
using GroupSize2D16N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 16, 128>>;
using GroupSize2D32N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 32, 128>>;
using GroupSize2D64N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 64, 128>>;
using GroupSize2D128N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 128, 128>>;
// Type combinations for AQuant tests
// Tuple format: <ALayout, BLayout, CLayout, AQLayout, ADataType, BDataType, QDataType, CDataType,
// QuantType, GemmConfig, QuantGroupSize>
// clang-format off
using AQuantTypes = ::testing::Types<
// PreshuffleQuant = false && TransposeC = false (RCR layout with RowMajor AQ)
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
// RRR layout (RowMajor A, RowMajor B, RowMajor C with RowMajor AQ)
std::tuple<RowMajor, RowMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, RowMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, RowMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, RowMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
// CRR layout (ColumnMajor A, RowMajor B, RowMajor C with RowMajor AQ)
std::tuple<ColumnMajor, RowMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<ColumnMajor, RowMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<ColumnMajor, RowMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<ColumnMajor, RowMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
// CCR layout (ColumnMajor A, ColumnMajor B, RowMajor C with ColumnMajor AQ) - NEW layout support
std::tuple<ColumnMajor, ColumnMajor, RowMajor, ColumnMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<ColumnMajor, ColumnMajor, RowMajor, ColumnMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<ColumnMajor, ColumnMajor, RowMajor, ColumnMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<ColumnMajor, ColumnMajor, RowMajor, ColumnMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
// RCR layout - with the Prefill BlockTile Config.
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
// PreshuffleQuant = false && TransposeC = true (with RowMajor AQ)
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
// PreshuffleQuant = true && TransposeC = false (with RowMajor AQ - PreshuffleQuant only supports RowMajor)
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
// PreshuffleQuant = true && TransposeC = true (with RowMajor AQ - PreshuffleQuant only supports RowMajor)
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>
>;
// clang-format on
// Test suite for AQuant
TYPED_TEST_SUITE(TestCkTileGemmAQuant, AQuantTypes);
// AQuant tests
TYPED_TEST(TestCkTileGemmAQuant, AQuantGroupedTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}

View File

@@ -29,13 +29,14 @@ class TestCkTileGemmQuantBase : public ::testing::Test
using ALayout = std::tuple_element_t<0, Tuple>;
using BLayout = std::tuple_element_t<1, Tuple>;
using CLayout = std::tuple_element_t<2, Tuple>;
using ADataType = std::tuple_element_t<3, Tuple>;
using BDataType = std::tuple_element_t<4, Tuple>;
using QDataType = std::tuple_element_t<5, Tuple>;
using CDataType = std::tuple_element_t<6, Tuple>;
static constexpr auto QuantType = std::tuple_element_t<7, Tuple>::value;
using GemmConfig = std::tuple_element_t<8, Tuple>;
using QuantGroupSize = std::tuple_element_t<9, Tuple>;
using AQLayout = std::tuple_element_t<3, Tuple>;
using ADataType = std::tuple_element_t<4, Tuple>;
using BDataType = std::tuple_element_t<5, Tuple>;
using QDataType = std::tuple_element_t<6, Tuple>;
using CDataType = std::tuple_element_t<7, Tuple>;
static constexpr auto QuantType = std::tuple_element_t<8, Tuple>::value;
using GemmConfig = std::tuple_element_t<9, Tuple>;
using QuantGroupSize = std::tuple_element_t<10, Tuple>;
using AccDataType = float; // accumulate always in float
// Get the quant-type specific data types from traits
@@ -85,6 +86,9 @@ class TestCkTileGemmQuantBase : public ::testing::Test
using TilePartitioner = ck_tile::GemmTile1DPartitioner<CodegenGemmShape>;
// BQLayout is always ColumnMajor for BQuant
using BQLayout = ck_tile::tensor_layout::gemm::ColumnMajor;
using CodegenGemmTraits = ck_tile::TileGemmQuantTraits<kPadM,
kPadN,
kPadK,
@@ -94,8 +98,8 @@ class TestCkTileGemmQuantBase : public ::testing::Test
BLayout,
CLayout,
QuantType,
ALayout,
BLayout,
AQLayout,
BQLayout,
GemmConfig::TransposeC,
DoubleSmemBuffer,
false,

View File

@@ -0,0 +1,77 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck_tile/host.hpp"
#include "ck_tile/ops/gemm.hpp"
#include <gtest/gtest.h>
#include <memory>
#include "test_gemm_quant_fixtures.hpp"
// Type aliases for readability
using RowMajor = ck_tile::tensor_layout::gemm::RowMajor;
using ColumnMajor = ck_tile::tensor_layout::gemm::ColumnMajor;
using FP8 = ck_tile::fp8_t;
using BF8 = ck_tile::bf8_t;
using Half = ck_tile::half_t;
using PkInt4 = ck_tile::pk_int4_t;
using BQuantGrouped = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::BQuantGrouped>;
using GroupSize = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 128>>;
using GroupSize64 = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 64>>;
// 2d block sizes for BQuant
using GroupSize2D8N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 8, 128>>;
using GroupSize2D16N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 16, 128>>;
using GroupSize2D32N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 32, 128>>;
using GroupSize2D64N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 64, 128>>;
using GroupSize2D128N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 128, 128>>;
// Type combinations for BQuant tests (without PreshuffleB)
// Tuple format: <ALayout, BLayout, CLayout, AQLayout, ADataType, BDataType, QDataType, CDataType,
// QuantType, GemmConfig, QuantGroupSize>
// clang-format off
using BQuantTypes = ::testing::Types<
// 1d cases with grouping only on k axis (AQLayout is always RowMajor for BQuant)
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
// 2d cases with grouping also on the n axis
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D128N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D128N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D128N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D128N>
>;
// clang-format on
// Test suite for BQuant (without PreshuffleB)
TYPED_TEST_SUITE(TestCkTileGemmBQuant, BQuantTypes);
// BQuant tests
TYPED_TEST(TestCkTileGemmBQuant, BQuantGroupedTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}

View File

@@ -0,0 +1,51 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck_tile/host.hpp"
#include "ck_tile/ops/gemm.hpp"
#include <gtest/gtest.h>
#include <memory>
#include "test_gemm_quant_fixtures.hpp"
// Type aliases for readability
using RowMajor = ck_tile::tensor_layout::gemm::RowMajor;
using ColumnMajor = ck_tile::tensor_layout::gemm::ColumnMajor;
using FP8 = ck_tile::fp8_t;
using BF8 = ck_tile::bf8_t;
using Half = ck_tile::half_t;
using PkInt4 = ck_tile::pk_int4_t;
using BQuantGrouped = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::BQuantGrouped>;
using GroupSize = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 128>>;
// Type combinations for BQuant tests with PreshuffleB
// Tuple format: <ALayout, BLayout, CLayout, AQLayout, ADataType, BDataType, QDataType, CDataType,
// QuantType, GemmConfig, QuantGroupSize>
// clang-format off
using BPreshuffleBQuantTypes = ::testing::Types<
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>
>;
// clang-format on
// Test suite for BQuant with PreshuffleB
TYPED_TEST_SUITE(TestCkTileGemmPreshuffleBBQuant, BPreshuffleBQuantTypes);
// BQuant PreshuffleB tests
TYPED_TEST(TestCkTileGemmPreshuffleBBQuant, BQuantPreshuffleTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}

View File

@@ -135,6 +135,7 @@ class TestCkTileGemmAQuant : public TestCkTileGemmQuantBase<Tuple, TestCkTileGem
using typename Base::AccDataType;
using typename Base::ADataType;
using typename Base::ALayout;
using typename Base::AQLayout;
using typename Base::BDataType;
using typename Base::BLayout;
using typename Base::CDataType;
@@ -152,20 +153,25 @@ class TestCkTileGemmAQuant : public TestCkTileGemmQuantBase<Tuple, TestCkTileGem
// AQuant-specific data generation
void run_test_with_validation(ck_tile::index_t M, ck_tile::index_t N, ck_tile::index_t K)
{
const ck_tile::index_t stride_A = K;
const ck_tile::index_t stride_B = K;
const ck_tile::index_t stride_C = N;
const ck_tile::index_t stride_A =
ck_tile::get_default_stride(M, K, 0, this->is_row_major(ALayout{}));
const ck_tile::index_t stride_B =
ck_tile::get_default_stride(K, N, 0, this->is_row_major(BLayout{}));
const ck_tile::index_t stride_C =
ck_tile::get_default_stride(M, N, 0, this->is_row_major(CLayout{}));
// AQuant uses grouped quantization for A matrix
const ck_tile::index_t AQK = ck_tile::integer_divide_ceil(K, QuantGroupSize::kK);
// AQLayout is parameterized in the test tuple (can be RowMajor or ColumnMajor for AQuant)
const ck_tile::index_t stride_AQ =
ck_tile::get_default_stride(M, AQK, 0, this->is_row_major(ALayout{}));
ck_tile::get_default_stride(M, AQK, 0, this->is_row_major(AQLayout{}));
// Generate test data
ck_tile::HostTensor<ADataType> a_m_k(
ck_tile::host_tensor_descriptor(M, K, stride_A, this->is_row_major(ALayout{})));
// AQLayout is independently specified for each test case
ck_tile::HostTensor<QDataType> aq_m_aqk(
ck_tile::host_tensor_descriptor(M, AQK, stride_AQ, this->is_row_major(ALayout{})));
ck_tile::host_tensor_descriptor(M, AQK, stride_AQ, this->is_row_major(AQLayout{})));
ck_tile::HostTensor<BDataType> b_k_n(
ck_tile::host_tensor_descriptor(K, N, stride_B, this->is_row_major(BLayout{})));
@@ -407,8 +413,9 @@ class TestCkTileGemmBQuant : public TestCkTileGemmQuantBase<Tuple, TestCkTileGem
ck_tile::host_tensor_descriptor(M, K, stride_A, this->is_row_major(ALayout{})));
ck_tile::HostTensor<BDataType> b_k_n(
ck_tile::host_tensor_descriptor(K, N, stride_B, this->is_row_major(BLayout{})));
// BQ is always ColumnMajor
ck_tile::HostTensor<QDataType> bq_bqk_bqn(
ck_tile::host_tensor_descriptor(BQK, BQN, stride_BQ, this->is_row_major(BLayout{})));
ck_tile::host_tensor_descriptor(BQK, BQN, stride_BQ, ck_tile::bool_constant<false>{}));
// Initialize data with random values
ck_tile::FillUniformDistribution<ADataType>{-0.5f, 0.5f}(a_m_k);

View File

@@ -0,0 +1,38 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck_tile/host.hpp"
#include "ck_tile/ops/gemm.hpp"
#include <gtest/gtest.h>
#include <memory>
#include "test_gemm_quant_fixtures.hpp"
// Type aliases for readability
using RowMajor = ck_tile::tensor_layout::gemm::RowMajor;
using ColumnMajor = ck_tile::tensor_layout::gemm::ColumnMajor;
using FP8 = ck_tile::fp8_t;
using BF8 = ck_tile::bf8_t;
using Half = ck_tile::half_t;
using RowColQuant = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::RowColQuant>;
using GroupSize = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 128>>;
// Type combinations for RowColQuant tests
// Tuple format: <ALayout, BLayout, CLayout, AQLayout, ADataType, BDataType, QDataType, CDataType,
// QuantType, GemmConfig, QuantGroupSize>
// clang-format off
using RowColQuantTypes = ::testing::Types<
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, RowColQuant, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, RowColQuant, GemmConfigBase, GroupSize>
>;
// clang-format on
// Test suite for RowColQuant
TYPED_TEST_SUITE(TestCkTileGemmRowColQuant, RowColQuantTypes);
// RowColQuant tests
TYPED_TEST(TestCkTileGemmRowColQuant, RowColQuantTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}

View File

@@ -0,0 +1,38 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#include "ck_tile/host.hpp"
#include "ck_tile/ops/gemm.hpp"
#include <gtest/gtest.h>
#include <memory>
#include "test_gemm_quant_fixtures.hpp"
// Type aliases for readability
using RowMajor = ck_tile::tensor_layout::gemm::RowMajor;
using ColumnMajor = ck_tile::tensor_layout::gemm::ColumnMajor;
using FP8 = ck_tile::fp8_t;
using BF8 = ck_tile::bf8_t;
using Half = ck_tile::half_t;
using TensorQuant = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::TensorQuant>;
using GroupSize = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 128>>;
// Type combinations for TensorQuant tests
// Tuple format: <ALayout, BLayout, CLayout, AQLayout, ADataType, BDataType, QDataType, CDataType,
// QuantType, GemmConfig, QuantGroupSize>
// clang-format off
using TensorQuantTypes = ::testing::Types<
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, FP8, FP8, float, Half, TensorQuant, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, RowMajor, BF8, BF8, float, Half, TensorQuant, GemmConfigBase, GroupSize>
>;
// clang-format on
// Test suite for TensorQuant
TYPED_TEST_SUITE(TestCkTileGemmTensorQuant, TensorQuantTypes);
// TensorQuant tests
TYPED_TEST(TestCkTileGemmTensorQuant, TensorQuantTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}

View File

@@ -1,146 +0,0 @@
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include "ck_tile/host.hpp"
#include "ck_tile/ops/gemm.hpp"
#include <gtest/gtest.h>
#include <memory>
#include "test_gemm_quant_fixtures.hpp"
// Type aliases for readability
using RowMajor = ck_tile::tensor_layout::gemm::RowMajor;
using ColumnMajor = ck_tile::tensor_layout::gemm::ColumnMajor;
using FP8 = ck_tile::fp8_t;
using BF8 = ck_tile::bf8_t;
using Half = ck_tile::half_t;
using PkInt4 = ck_tile::pk_int4_t;
using AQuantGrouped = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::AQuantGrouped>;
using BQuantGrouped = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::BQuantGrouped>;
using RowColQuant = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::RowColQuant>;
using TensorQuant = std::integral_constant<ck_tile::QuantType, ck_tile::QuantType::TensorQuant>;
using GroupSize = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 128>>;
using GroupSize64 = ck_tile::QuantGroupShape<ck_tile::sequence<1, 1, 64>>;
// 2d block sizes for BQuant
using GroupSize2D8N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 8, 128>>;
using GroupSize2D16N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 16, 128>>;
using GroupSize2D32N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 32, 128>>;
using GroupSize2D64N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 64, 128>>;
using GroupSize2D128N = ck_tile::QuantGroupShape<ck_tile::sequence<1, 128, 128>>;
// Type combinations for each quantization type
// clang-format off
using AQuantTypes = ::testing::Types<
// PreshuffleQuant = false && TransposeC = false
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigBase, GroupSize>,
// PreshuffleQuant = false && TransposeC = false && Prefill
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigPrefill, GroupSize>,
// PreshuffleQuant = false && TransposeC = true
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigTransposeC, GroupSize>,
// PreshuffleQuant = true && TransposeC = false
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigPreshuffleQuant, GroupSize>,
// PreshuffleQuant = true && TransposeC = true
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, FP8, FP8, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, PkInt4, BF8, BF8, Half, AQuantGrouped, GemmConfigPreshuffleQuantTransposeC, GroupSize>
>;
// clang-format on
// clang-format off
using BQuantTypes = ::testing::Types<
// 1d cases with grouping only on k axis
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize64>,
// 2d cases with grouping also on the n axis
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D8N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D16N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D32N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigBase, GroupSize2D64N>
>;
// clang-format on
// clang-format off
using BPreshuffleBQuantTypes = ::testing::Types<
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefill, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBPrefillTiledPermuteN, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPreshuffleQuantDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, BQuantGrouped, GemmConfigPreshuffleBPreshuffleQuantDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, PkInt4, FP8, Half, BQuantGrouped, GemmConfigPreshuffleBPreshuffleQuantDecode, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, PkInt4, BF8, Half, BQuantGrouped, GemmConfigPreshuffleBPreshuffleQuantDecode, GroupSize>
>;
// clang-format on
// clang-format off
using RowColQuantTypes = ::testing::Types<
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, RowColQuant, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, RowColQuant, GemmConfigBase, GroupSize>
>;
// clang-format on
// clang-format off
using TensorQuantTypes = ::testing::Types<
std::tuple<RowMajor, ColumnMajor, RowMajor, FP8, FP8, float, Half, TensorQuant, GemmConfigBase, GroupSize>,
std::tuple<RowMajor, ColumnMajor, RowMajor, BF8, BF8, float, Half, TensorQuant, GemmConfigBase, GroupSize>
>;
// clang-format on
// Test suites for each quantization type
TYPED_TEST_SUITE(TestCkTileGemmAQuant, AQuantTypes);
TYPED_TEST_SUITE(TestCkTileGemmBQuant, BQuantTypes);
TYPED_TEST_SUITE(TestCkTileGemmPreshuffleBBQuant, BPreshuffleBQuantTypes);
TYPED_TEST_SUITE(TestCkTileGemmRowColQuant, RowColQuantTypes);
TYPED_TEST_SUITE(TestCkTileGemmTensorQuant, TensorQuantTypes);
#include "test_gemm_quant_ut_cases.inc"

View File

@@ -1,33 +0,0 @@
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#pragma once
// AQuant tests
TYPED_TEST(TestCkTileGemmAQuant, AQuantGroupedTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}
// BQuant tests
TYPED_TEST(TestCkTileGemmBQuant, BQuantGroupedTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}
// BQuant tests
TYPED_TEST(TestCkTileGemmPreshuffleBBQuant, BQuantGroupedTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}
// RowColQuant tests
TYPED_TEST(TestCkTileGemmRowColQuant, RowColQuantTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}
// TensorQuant tests
TYPED_TEST(TestCkTileGemmTensorQuant, TensorQuantTest)
{
this->run_test_with_validation(1024, 1024, 1024);
}