Yujia Zhai
@@ -28,7 +28,6 @@
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <cuda_runtime_api.h>
|
||||
|
||||
#include "cutlass_unit_test.h"
|
||||
@@ -59,7 +58,10 @@ std::ostream &operator<<(std::ostream &out, cudaDeviceProp const &deviceProperti
|
||||
|
||||
int deviceMajorMinor = deviceProperties.major * 10 + deviceProperties.minor;
|
||||
if (deviceMajorMinor) {
|
||||
int32_t clock_MHz = deviceProperties.clockRate / 1000;
|
||||
int32_t clock_MHz;
|
||||
int32_t clock_KHz;
|
||||
cudaDeviceGetAttribute(&clock_KHz, cudaDevAttrClockRate, 0);
|
||||
clock_MHz = clock_KHz / 1000;
|
||||
out << "GPU(compute_"
|
||||
<< deviceMajorMinor << ", "
|
||||
<< deviceProperties.multiProcessorCount << " SMs @ " << clock_MHz << " MHz)";
|
||||
|
||||
@@ -29,22 +29,25 @@
|
||||
if (CUTLASS_NVCC_ARCHS MATCHES 100a)
|
||||
|
||||
add_custom_target(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse
|
||||
DEPENDS
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_nvf4_nvf4_f32_f32_f32_o
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_nvf4_nvf4_f32_f16_f16_o
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_nvf4_nvf4_f32_f16_nvf4_o
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf8_f32_f32_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf8_f32_f16_f16_q
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf8_f32_f16_mxf8_q
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf4_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf4_mxf4_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf4_mxf4_f32_o
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_streamk
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_nvf4_nvf4_f32_f32_f32_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_nvf4_nvf4_f32_f16_f16_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_nvf4_nvf4_f32_f16_nvf4_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8_mxf8_f32_f32_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8_mxf8_f32_f16_f16_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8_mxf8_f32_f16_mxf8_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8mxf4_mxf4mxf8_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8mxf6_mxf6mxf8_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf4mxf6_mxf4mxf6_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf6_mxf6_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf4_mxf4_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf4_mxf4_f32_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_streamk
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_nvf4_nvf4_f32_f32_f32_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_nvf4_nvf4_f32_f32_f32_o
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -57,7 +60,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_nvf4_nvf4_f32_f16_f16_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_nvf4_nvf4_f32_f16_f16_o
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -70,7 +73,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_nvf4_nvf4_f32_f16_nvf4_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_nvf4_nvf4_f32_f16_nvf4_o
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -83,7 +86,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf8_f32_f32_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8_mxf8_f32_f32_f32_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -96,7 +99,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf8_f32_f16_f16_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8_mxf8_f32_f16_f16_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -109,7 +112,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf8_f32_f16_mxf8_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8_mxf8_f32_f16_mxf8_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -127,7 +130,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf4_mxf4_f32_o
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf4_mxf4_f32_o
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -140,7 +143,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf8_mxf4_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8mxf4_mxf4mxf8_f32_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -148,10 +151,32 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
sm100_bssp_gemm_mxf8_mxf4_f32_f16_mxf8_q_tnt.cu
|
||||
sm100_bssp_gemm_mxf8_mxf4_f32_f16_f16_q_tnt.cu
|
||||
sm100_bssp_gemm_mxf8_mxf4_f32_f32_f32_q_tnt.cu
|
||||
|
||||
sm100_bssp_gemm_mxf4_mxf8_f32_f16_f16_q_tnt.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_mxf4_mxf4_f32_q
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf8mxf6_mxf6mxf8_f32_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
|
||||
sm100_bssp_gemm_mxf6_mxf8_f32_f16_f16_q_tnt.cu
|
||||
sm100_bssp_gemm_mxf8_mxf6_f32_f16_f16_q_tnt.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf4mxf6_mxf4mxf6_f32_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
|
||||
sm100_bssp_gemm_mxf4_mxf6_f32_f16_f16_q_tnt.cu
|
||||
sm100_bssp_gemm_mxf6_mxf4_f32_f16_f16_q_tnt.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf4_mxf4_f32_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
@@ -162,7 +187,16 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_bssp_streamk
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_mxf6_mxf6_f32_q
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
|
||||
sm100_bssp_gemm_mxf6_mxf6_f32_f16_f16_q_tnt.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_blockscaled_sparse_streamk
|
||||
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
|
||||
+1102
File diff suppressed because it is too large
Load Diff
+1102
File diff suppressed because it is too large
Load Diff
+1102
File diff suppressed because it is too large
Load Diff
+1102
File diff suppressed because it is too large
Load Diff
+1102
File diff suppressed because it is too large
Load Diff
+1102
File diff suppressed because it is too large
Load Diff
@@ -26,18 +26,19 @@
|
||||
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
|
||||
add_subdirectory(narrow_precision)
|
||||
|
||||
if (CUTLASS_NVCC_ARCHS MATCHES 100a)
|
||||
|
||||
add_custom_target(
|
||||
cutlass_test_unit_gemm_device_sm100_sp
|
||||
cutlass_test_unit_gemm_device_sm100_sparse
|
||||
DEPENDS
|
||||
cutlass_test_unit_gemm_device_sm100_sp_general
|
||||
cutlass_test_unit_gemm_device_sm100_sp_qmma_variance
|
||||
cutlass_test_unit_gemm_device_sm100_sp_streamk
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_general
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_streamk
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sp_general
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_general
|
||||
|
||||
# No batching of source to control compiler memory usage
|
||||
BATCH_SOURCES ON
|
||||
@@ -52,23 +53,7 @@ cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sp_qmma_variance
|
||||
|
||||
# No batching of source to control compiler memory usage
|
||||
BATCH_SOURCES ON
|
||||
BATCH_SIZE 1
|
||||
|
||||
sm100_sp_gemm_f4_f4_f32_f16_f8_qmma.cu
|
||||
sm100_sp_gemm_f4_f4_f32_f16_f16_qmma.cu
|
||||
sm100_sp_gemm_f4_f4_f32_f32_f32_qmma.cu
|
||||
|
||||
sm100_sp_gemm_f6_f6_f32_f16_f8_qmma.cu
|
||||
sm100_sp_gemm_f6_f6_f32_f16_f16_qmma.cu
|
||||
sm100_sp_gemm_f6_f6_f32_f32_f32_qmma.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sp_streamk
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_streamk
|
||||
|
||||
# No batching of source to control compiler memory usage
|
||||
BATCH_SOURCES ON
|
||||
|
||||
@@ -0,0 +1,77 @@
|
||||
# Copyright (c) 2024 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
# SPDX-License-Identifier: BSD-3-Clause
|
||||
#
|
||||
# Redistribution and use in source and binary forms, with or without
|
||||
# modification, are permitted provided that the following conditions are met:
|
||||
#
|
||||
# 1. Redistributions of source code must retain the above copyright notice, this
|
||||
# list of conditions and the following disclaimer.
|
||||
#
|
||||
# 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
# this list of conditions and the following disclaimer in the documentation
|
||||
# and/or other materials provided with the distribution.
|
||||
#
|
||||
# 3. Neither the name of the copyright holder nor the names of its
|
||||
# contributors may be used to endorse or promote products derived from
|
||||
# this software without specific prior written permission.
|
||||
#
|
||||
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
|
||||
if (CUTLASS_NVCC_ARCHS MATCHES 100a)
|
||||
|
||||
add_custom_target(
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_narrow_precision
|
||||
DEPENDS
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f4xf4
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f6xf6
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f4f6xf4f6
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f4f8xf4f8
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f6f8xf6f8
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f4xf4
|
||||
sm100_sp_gemm_f4_f4_f32_f16_f8_tn.cu
|
||||
sm100_sp_gemm_f4_f4_f32_f16_f16_tn.cu
|
||||
sm100_sp_gemm_f4_f4_f32_f32_f32_tn.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f6xf6
|
||||
|
||||
sm100_sp_gemm_f6_f6_f32_f16_f8_tn.cu
|
||||
sm100_sp_gemm_f6_f6_f32_f16_f16_tn.cu
|
||||
sm100_sp_gemm_f6_f6_f32_f32_f32_tn.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f4f6xf4f6
|
||||
|
||||
sm100_sp_gemm_f4_f6_f32_f16_f16_tn.cu
|
||||
sm100_sp_gemm_f6_f4_f32_f16_f16_tn.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f4f8xf4f8
|
||||
|
||||
sm100_sp_gemm_f4_f8_f32_f16_f16_tn.cu
|
||||
sm100_sp_gemm_f8_f4_f32_f16_f16_tn.cu
|
||||
)
|
||||
|
||||
cutlass_test_unit_gemm_device_add_executable_split_file(
|
||||
cutlass_test_unit_gemm_device_sm100_sparse_f6f8xf6f8
|
||||
|
||||
sm100_sp_gemm_f6_f8_f32_f16_f16_tn.cu
|
||||
sm100_sp_gemm_f8_f6_f32_f16_f16_tn.cu
|
||||
)
|
||||
|
||||
endif()
|
||||
+2
-2
@@ -40,8 +40,8 @@
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../common/cutlass_unit_test.h"
|
||||
#include "../gemm_testbed_3x.hpp"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
+2
-2
@@ -40,8 +40,8 @@
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../common/cutlass_unit_test.h"
|
||||
#include "../gemm_testbed_3x.hpp"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
+2
-2
@@ -40,8 +40,8 @@
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../common/cutlass_unit_test.h"
|
||||
#include "../gemm_testbed_3x.hpp"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
+705
@@ -0,0 +1,705 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2025 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <iostream>
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "cute/tensor.hpp"
|
||||
#include "cute/atom/mma_atom.hpp"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/gemm/device/gemm_universal_adapter.h"
|
||||
#include "cutlass/gemm/kernel/gemm_universal.hpp"
|
||||
#include "cutlass/gemm/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
// * Test list
|
||||
// 1. 128x128_tnt
|
||||
// 2. 128x256_tnt
|
||||
// 3. 256x128_tnt
|
||||
// 4. 256x256_tnt
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e3m2_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e3m2_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e3m2_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e3m2_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e3m2_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e3m2_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e3m2_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e3m2_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e3m2_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e3m2_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e3m2_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e3m2_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e3m2_f32_void_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e3m2_f32_void_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e3m2_f32_void_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e3m2_f32_void_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e3m2_f32_void_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e3m2_f32_void_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e3m2_f32_void_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e3m2_f32_void_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e3m2_f32_void_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e3m2_f32_void_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e3m2_f32_void_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e3m2_f32_void_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
+705
@@ -0,0 +1,705 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2025 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <iostream>
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "cute/tensor.hpp"
|
||||
#include "cute/atom/mma_atom.hpp"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/gemm/device/gemm_universal_adapter.h"
|
||||
#include "cutlass/gemm/kernel/gemm_universal.hpp"
|
||||
#include "cutlass/gemm/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
// * Test list
|
||||
// 1. 128x128_tnt
|
||||
// 2. 128x256_tnt
|
||||
// 3. 256x128_tnt
|
||||
// 4. 256x256_tnt
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e4m3_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e4m3_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e4m3_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e4m3_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e4m3_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e4m3_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e4m3_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e4m3_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e4m3_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e4m3_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e4m3_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e4m3_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e4m3_f32_void_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e4m3_f32_void_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e4m3_f32_void_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e4m3_f32_void_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e2m1_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e4m3_f32_void_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e2m1_e4m3_f32_void_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e4m3_f32_void_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e2m1_e4m3_f32_void_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e4m3_f32_void_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e2m1_e4m3_f32_void_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e4m3_f32_void_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e2m1_e4m3_f32_void_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
+705
@@ -0,0 +1,705 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2025 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <iostream>
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "cute/tensor.hpp"
|
||||
#include "cute/atom/mma_atom.hpp"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/gemm/device/gemm_universal_adapter.h"
|
||||
#include "cutlass/gemm/kernel/gemm_universal.hpp"
|
||||
#include "cutlass/gemm/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
// * Test list
|
||||
// 1. 128x128_tnt
|
||||
// 2. 128x256_tnt
|
||||
// 3. 256x128_tnt
|
||||
// 4. 256x256_tnt
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e2m1_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e2m1_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e2m1_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e2m1_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e2m1_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e2m1_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e2m1_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e2m1_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e2m1_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e2m1_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e2m1_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e2m1_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e2m1_f32_void_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e2m1_f32_void_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e2m1_f32_void_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e2m1_f32_void_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e2m1_f32_void_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e2m1_f32_void_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e2m1_f32_void_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e2m1_f32_void_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e2m1_f32_void_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e2m1_f32_void_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e2m1_f32_void_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e2m1_f32_void_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
+2
-2
@@ -40,8 +40,8 @@
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../common/cutlass_unit_test.h"
|
||||
#include "../gemm_testbed_3x.hpp"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
+2
-2
@@ -40,8 +40,8 @@
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../common/cutlass_unit_test.h"
|
||||
#include "../gemm_testbed_3x.hpp"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
+2
-2
@@ -40,8 +40,8 @@
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../common/cutlass_unit_test.h"
|
||||
#include "../gemm_testbed_3x.hpp"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
+705
@@ -0,0 +1,705 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2025 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <iostream>
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "cute/tensor.hpp"
|
||||
#include "cute/atom/mma_atom.hpp"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/gemm/device/gemm_universal_adapter.h"
|
||||
#include "cutlass/gemm/kernel/gemm_universal.hpp"
|
||||
#include "cutlass/gemm/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
// * Test list
|
||||
// 1. 128x128_tnt
|
||||
// 2. 128x256_tnt
|
||||
// 3. 256x128_tnt
|
||||
// 4. 256x256_tnt
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e4m3_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e4m3_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e4m3_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e4m3_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e4m3_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e4m3_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e4m3_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e4m3_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e4m3_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e4m3_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e4m3_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e4m3_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e4m3_f32_void_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e4m3_f32_void_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e4m3_f32_void_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e4m3_f32_void_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e3m2_t;
|
||||
using ElementB = cutlass::float_e4m3_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 256;
|
||||
constexpr int kAlignmentB = 16;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e4m3_f32_void_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e3m2_e4m3_f32_void_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e4m3_f32_void_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e3m2_e4m3_f32_void_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e4m3_f32_void_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e3m2_e4m3_f32_void_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e4m3_f32_void_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e3m2_e4m3_f32_void_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
+705
@@ -0,0 +1,705 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2025 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <iostream>
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "cute/tensor.hpp"
|
||||
#include "cute/atom/mma_atom.hpp"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/gemm/device/gemm_universal_adapter.h"
|
||||
#include "cutlass/gemm/kernel/gemm_universal.hpp"
|
||||
#include "cutlass/gemm/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
// * Test list
|
||||
// 1. 128x128_tnt
|
||||
// 2. 128x256_tnt
|
||||
// 3. 256x128_tnt
|
||||
// 4. 256x256_tnt
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e2m1_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e2m1_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e2m1_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e2m1_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e2m1_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e2m1_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e2m1_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e2m1_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e2m1_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e2m1_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e2m1_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e2m1_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e2m1_f32_void_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e2m1_f32_void_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e2m1_f32_void_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e2m1_f32_void_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e2m1_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e2m1_f32_void_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e2m1_f32_void_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e2m1_f32_void_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e2m1_f32_void_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e2m1_f32_void_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e2m1_f32_void_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e2m1_f32_void_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e2m1_f32_void_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
+705
@@ -0,0 +1,705 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2025 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
* SPDX-License-Identifier: BSD-3-Clause
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions are met:
|
||||
*
|
||||
* 1. Redistributions of source code must retain the above copyright notice, this
|
||||
* list of conditions and the following disclaimer.
|
||||
*
|
||||
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
||||
* this list of conditions and the following disclaimer in the documentation
|
||||
* and/or other materials provided with the distribution.
|
||||
*
|
||||
* 3. Neither the name of the copyright holder nor the names of its
|
||||
* contributors may be used to endorse or promote products derived from
|
||||
* this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
||||
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
||||
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
||||
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
||||
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
||||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
||||
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
|
||||
#include <iostream>
|
||||
#include "cutlass/cutlass.h"
|
||||
#include "cute/tensor.hpp"
|
||||
#include "cute/atom/mma_atom.hpp"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/gemm/device/gemm_universal_adapter.h"
|
||||
#include "cutlass/gemm/kernel/gemm_universal.hpp"
|
||||
#include "cutlass/gemm/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/dispatch_policy.hpp"
|
||||
#include "cutlass/epilogue/collective/collective_builder.hpp"
|
||||
#include "cutlass/epilogue/thread/activation.h"
|
||||
#include "../../../../common/cutlass_unit_test.h"
|
||||
#include "../../gemm_testbed_3x.hpp"
|
||||
|
||||
using namespace cute;
|
||||
|
||||
// * Test list
|
||||
// 1. 128x128_tnt
|
||||
// 2. 128x256_tnt
|
||||
// 3. 256x128_tnt
|
||||
// 4. 256x256_tnt
|
||||
|
||||
#if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e3m2_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e3m2_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e3m2_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e3m2_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = cutlass::half_t;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e3m2_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e3m2_f32_f16_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e3m2_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e3m2_f32_f16_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e3m2_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e3m2_f32_f16_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e3m2_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e3m2_f32_f16_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 1,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
|
||||
// 1.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e3m2_f32_void_f16_128x128x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 2.
|
||||
namespace cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e3m2_f32_void_f16_128x256x256_0_tnt_align32_q_1sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_1, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_128, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized1Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 3.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e3m2_f32_void_f16_256x128x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _128, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 4.
|
||||
namespace cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e3m2_f32_void_f16_256x256x256_0_tnt_align32_q_2sm {
|
||||
|
||||
using LayoutA = cutlass::layout::RowMajor;
|
||||
using LayoutB = cutlass::layout::ColumnMajor;
|
||||
using LayoutC = cutlass::layout::RowMajor;
|
||||
using LayoutD = cutlass::layout::RowMajor;
|
||||
|
||||
using ElementA = cutlass::float_e4m3_t;
|
||||
using ElementB = cutlass::float_e3m2_t;
|
||||
using ElementC = void;
|
||||
using ElementD = cutlass::half_t;
|
||||
|
||||
constexpr int kAlignmentA = 32;
|
||||
constexpr int kAlignmentB = 128;
|
||||
constexpr int kAlignmentD = 128 / cutlass::sizeof_bits<ElementD>::value;
|
||||
constexpr int kAlignmentC = cute::is_same_v<ElementC, void> ? kAlignmentD : 128 / cutlass::sizeof_bits<ElementC>::value;
|
||||
|
||||
using ProblemShape = Shape<int,int,int,int>;
|
||||
using ClusterShape = cute::Shape<cute::_2, cute::_1, cute::_1>;
|
||||
using MmaTileShape = Shape<_256, _256, _256>;
|
||||
using ArchTag = cutlass::arch::Sm100;
|
||||
using OpClassEpilogue = cutlass::arch::OpClassSparseTensorOp;
|
||||
using OpClassMainLoop = cutlass::arch::OpClassSparseTensorOp;
|
||||
using EpilogueTile = cutlass::epilogue::collective::EpilogueTileAuto;
|
||||
using EpilogueScheduleType = cutlass::epilogue::TmaWarpSpecialized2Sm;
|
||||
using KernelScheduleType = cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100;
|
||||
using ElementAccumulator = float;
|
||||
using ElementEpilogueCompute = float;
|
||||
using ElementBias = cutlass::half_t;
|
||||
using TileScheduler = cutlass::gemm::PersistentScheduler;
|
||||
|
||||
using CollectiveEpilogue =
|
||||
typename cutlass::epilogue::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassEpilogue,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
EpilogueTile,
|
||||
ElementAccumulator,
|
||||
ElementEpilogueCompute,
|
||||
ElementC, LayoutC, kAlignmentC,
|
||||
ElementD, LayoutD, kAlignmentD,
|
||||
EpilogueScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using StageCount = cutlass::gemm::collective::StageCountAutoCarveoutEpi<CollectiveEpilogue>;
|
||||
|
||||
using CollectiveMainloop =
|
||||
typename cutlass::gemm::collective::CollectiveBuilder<
|
||||
ArchTag,
|
||||
OpClassMainLoop,
|
||||
ElementA, LayoutA, kAlignmentA,
|
||||
ElementB, LayoutB, kAlignmentB,
|
||||
ElementAccumulator,
|
||||
MmaTileShape,
|
||||
ClusterShape,
|
||||
StageCount,
|
||||
KernelScheduleType
|
||||
>::CollectiveOp;
|
||||
|
||||
using GemmKernel = cutlass::gemm::kernel::GemmUniversal<
|
||||
cute::Shape<int,int,int,int>,
|
||||
CollectiveMainloop,
|
||||
CollectiveEpilogue,
|
||||
void>;
|
||||
|
||||
using Gemm = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
|
||||
}
|
||||
|
||||
// 1.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e3m2_f32_void_f16_128x128x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x128x64spgemm_e4m3_e3m2_f32_void_f16_128x128x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 2.
|
||||
TEST(cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e3m2_f32_void_f16_128x256x256_0_tnt_align32_q_1sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s128x256x64spgemm_e4m3_e3m2_f32_void_f16_128x256x256_0_tnt_align32_q_1sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 3.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e3m2_f32_void_f16_256x128x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x128x64spgemm_e4m3_e3m2_f32_void_f16_256x128x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
// 4.
|
||||
TEST(cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e3m2_f32_void_f16_256x256x256_0_tnt_align32_q_2sm, functional) {
|
||||
namespace gemm = cutlass3x_sm100_sptensorop_s256x256x64spgemm_e4m3_e3m2_f32_void_f16_256x256x256_0_tnt_align32_q_2sm;
|
||||
EXPECT_TRUE(test::gemm::device::TestSmall<gemm::Gemm>(
|
||||
1, 0,
|
||||
test::gemm::device::CheckEquality::RELATIVE,
|
||||
test::gemm::device::ScalarLoc::ON_DEVICE,
|
||||
test::gemm::device::VectorScale::ENABLED,
|
||||
{256, 2560}));
|
||||
}
|
||||
|
||||
#endif // #if defined(CUTLASS_ARCH_MMA_SM100_SUPPORTED)
|
||||
Reference in New Issue
Block a user