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gemm_f16n_f16t_f16t_tensor_op_f32_sm80.cu
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gemm_f16n_f16t_f16t_tensor_op_f32_sm80.cu
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/***************************************************************************************************
* Copyright (c) 2017 - 2024 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.
*
**************************************************************************************************/
/*! \file
\brief Tests for device-wide GEMM interface
*/
#include <iostream>
#include "../../common/cutlass_unit_test.h"
#include "cutlass/cutlass.h"
#include "cutlass/gemm/device/gemm.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/reference/host/gemm.h"
#include "cutlass/util/reference/host/tensor_compare.h"
#include "cutlass/util/reference/host/tensor_copy.h"
#include "cutlass/util/reference/host/tensor_fill.h"
#include "cutlass/util/tensor_view_io.h"
#include "testbed.h"
////////////////////////////////////////////////////////////////////////////////
#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
////////////////////////////////////////////////////////////////////////////////
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 64x64x32_32x32x32) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<64, 64, 32>,
cutlass::gemm::GemmShape<32, 32, 32>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 10>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 32x128x32_32x32x32) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<32, 128, 32>,
cutlass::gemm::GemmShape<32, 32, 32>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 32x256x32_32x64x32) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<32, 256, 32>,
cutlass::gemm::GemmShape<32, 64, 32>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 128x32x32_32x32x32) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<128, 32, 32>,
cutlass::gemm::GemmShape<32, 32, 32>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 256x32x32_64x32x32) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<256, 32, 32>,
cutlass::gemm::GemmShape<64, 32, 32>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 32x128x64_32x32x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<32, 128, 64>,
cutlass::gemm::GemmShape<32, 32, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 32x256x64_32x64x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<32, 256, 64>,
cutlass::gemm::GemmShape<32, 64, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 128x32x64_32x32x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<128, 32, 64>,
cutlass::gemm::GemmShape<32, 32, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 256x32x64_64x32x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<256, 32, 64>,
cutlass::gemm::GemmShape<64, 32, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 16x128x64_16x32x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<16, 128, 64>,
cutlass::gemm::GemmShape<16, 32, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 16x256x64_16x64x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<16, 256, 64>,
cutlass::gemm::GemmShape<16, 64, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 128 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 128x16x64_32x16x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<128, 16, 64>,
cutlass::gemm::GemmShape<32, 16, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 64 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
TEST(SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f32, 256x16x64_64x16x64) {
using ElementOutput = cutlass::half_t;
using ElementAccumulator = float;
using Gemm = cutlass::gemm::device::Gemm<
cutlass::half_t, cutlass::layout::ColumnMajor, cutlass::half_t,
cutlass::layout::RowMajor, ElementOutput, cutlass::layout::RowMajor,
ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
cutlass::gemm::GemmShape<256, 16, 64>,
cutlass::gemm::GemmShape<64, 16, 64>, cutlass::gemm::GemmShape<16, 8, 16>,
cutlass::epilogue::thread::LinearCombination<
ElementOutput, 64 / cutlass::sizeof_bits<ElementOutput>::value,
ElementAccumulator, ElementAccumulator>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 5>;
EXPECT_TRUE(test::gemm::device::TestAllGemm<Gemm>());
}
////////////////////////////////////////////////////////////////////////////////
#endif // #if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
////////////////////////////////////////////////////////////////////////////////