505 lines
13 KiB
Plaintext
505 lines
13 KiB
Plaintext
/***************************************************************************************************
|
|
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
|
* provided that the following conditions are met:
|
|
* * Redistributions of source code must retain the above copyright notice, this list of
|
|
* conditions and the following disclaimer.
|
|
* * 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.
|
|
* * Neither the name of the NVIDIA CORPORATION 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 NVIDIA CORPORATION 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 TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*
|
|
**************************************************************************************************/
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Guard conditions around the entire file.
|
|
#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 700
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#include "cutlass_unit_tests.h"
|
|
|
|
#include "tools/util/half.h"
|
|
#include "tools/util/tensor_view_io.h"
|
|
#include "tools/util/host_tensor.h"
|
|
|
|
#include "tools/test/unit/gemm/gemm_testbed.h"
|
|
|
|
#include "cutlass/gemm/gemm_fragment_stream.h"
|
|
#include "cutlass/gemm/warp_multiply_add_nvcuda.h"
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
namespace test {
|
|
|
|
template <typename FragmentStream>
|
|
__global__ void fragment_stream(typename FragmentStream::Params params, half *output) {
|
|
|
|
__shared__ typename FragmentStream::Storage storage;
|
|
|
|
params.store_params.initialize(storage);
|
|
FragmentStream stream(
|
|
params,
|
|
cutlass::make_Coord(16, 256, 256)
|
|
);
|
|
|
|
// load
|
|
stream.load();
|
|
|
|
// store
|
|
stream.commit();
|
|
|
|
__syncthreads();
|
|
|
|
// one thread writes it all out
|
|
if (threadIdx.x == 0) {
|
|
|
|
half const *ptr = reinterpret_cast<half const *>(storage.data());
|
|
|
|
CUTLASS_PRAGMA_NO_UNROLL
|
|
for (int i = 0; i < FragmentStream::Storage::Shape::kCount; ++i) {
|
|
output[i] = ptr[i];
|
|
}
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
struct TestGemmDesc {
|
|
int m, n, k;
|
|
inline __host__ __device__ TestGemmDesc() : m(0), n(0), k(0) {}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ThreadBlockTile,
|
|
cutlass::MatrixLayout::Kind LayoutA,
|
|
cutlass::MatrixLayout::Kind LayoutB,
|
|
int Threads,
|
|
int ScalarsPerAccess
|
|
>
|
|
struct TestGemmFragmentStream {
|
|
|
|
/// TileStream for Operand A
|
|
typedef cutlass::gemm::GemmFragmentStreamTraits<
|
|
cutlass::gemm::GemmOperand::kA,
|
|
uint16_t,
|
|
LayoutA,
|
|
ThreadBlockTile,
|
|
Threads,
|
|
ScalarsPerAccess
|
|
> FragmentStreamTraitsA;
|
|
|
|
/// Defines fragment stream for A operand
|
|
typedef typename cutlass::gemm::GemmFragmentStream<FragmentStreamTraitsA> FragmentStreamA;
|
|
|
|
/// TileStream for Operand B
|
|
typedef typename cutlass::gemm::GemmFragmentStreamTraits<
|
|
cutlass::gemm::GemmOperand::kB,
|
|
uint16_t,
|
|
LayoutB,
|
|
ThreadBlockTile,
|
|
Threads,
|
|
ScalarsPerAccess
|
|
> FragmentStreamTraitsB;
|
|
|
|
/// Defines fragment stream for A operand
|
|
typedef typename cutlass::gemm::GemmFragmentStream<FragmentStreamTraitsB> FragmentStreamB;
|
|
|
|
//
|
|
// Data members
|
|
//
|
|
|
|
cutlass::HostTensor<cutlass::half_t> tensor_A_in;
|
|
cutlass::HostTensor<cutlass::half_t> tensor_A_out;
|
|
|
|
cutlass::HostTensor<cutlass::half_t> tensor_B_in;
|
|
cutlass::HostTensor<cutlass::half_t> tensor_B_out;
|
|
|
|
//
|
|
// Methods
|
|
//
|
|
|
|
/// Constructor
|
|
TestGemmFragmentStream() {
|
|
tensor_A_in.resize_matrix(ThreadBlockTile::kW, ThreadBlockTile::kD, LayoutA);
|
|
tensor_A_out.resize_matrix(ThreadBlockTile::kW, ThreadBlockTile::kD, LayoutA);
|
|
|
|
tensor_B_in.resize_matrix(ThreadBlockTile::kD, ThreadBlockTile::kH, LayoutB);
|
|
tensor_B_out.resize_matrix(ThreadBlockTile::kD, ThreadBlockTile::kH, LayoutB);
|
|
}
|
|
|
|
/// Writes details about TileStream
|
|
template <typename TileStream>
|
|
std::ostream & write(std::ostream &out, typename TileStream::Params const ¶ms) {
|
|
|
|
out << "TileStream::LoadIterator\n"
|
|
<< " Tile(" << TileStream::LoadIterator::Tile::kH << ", "
|
|
<< TileStream::LoadIterator::Tile::kW << ")\n"
|
|
<< " Delta(" << TileStream::LoadIterator::Steps::kH << ", "
|
|
<< TileStream::LoadIterator::Steps::kW << ")\n"
|
|
<< " Iterations(" << TileStream::LoadIterator::Iterations::kH << ", "
|
|
<< TileStream::LoadIterator::Iterations::kW << ")\n";
|
|
|
|
out
|
|
<< " stride_h: " << params.load_params.stride_h << "\n"
|
|
<< " stride_w: " << params.load_params.stride_w << "\n"
|
|
<< " inc_d: " << params.load_params.inc_d << "\n"
|
|
<< " inc_h: " << params.load_params.inc_h << "\n"
|
|
<< " inc_w: " << params.load_params.inc_w << std::endl;
|
|
|
|
out << "output elements: " << TileStream::Storage::Shape::kCount << std::endl;
|
|
|
|
return out;
|
|
}
|
|
|
|
/// Runs test
|
|
void run() {
|
|
|
|
tensor_A_in.fill_linear(
|
|
LayoutA == cutlass::MatrixLayout::kColumnMajor ?
|
|
cutlass::make_Coord(1, 1, ThreadBlockTile::kW, 1) :
|
|
cutlass::make_Coord(1, ThreadBlockTile::kD, 1, 1));
|
|
|
|
tensor_A_out.fill(0);
|
|
|
|
tensor_A_in.sync_device();
|
|
tensor_A_out.sync_device();
|
|
|
|
tensor_B_in.fill_linear(
|
|
LayoutB == cutlass::MatrixLayout::kColumnMajor ?
|
|
cutlass::make_Coord(1, 1, ThreadBlockTile::kD, 1) :
|
|
cutlass::make_Coord(1, ThreadBlockTile::kH, 1, 1));
|
|
|
|
tensor_B_out.fill(0);
|
|
|
|
tensor_B_in.sync_device();
|
|
tensor_B_out.sync_device();
|
|
|
|
|
|
typename FragmentStreamA::Params params_A;
|
|
typename FragmentStreamB::Params params_B;
|
|
|
|
TestGemmDesc desc;
|
|
params_A.initialize(
|
|
desc,
|
|
reinterpret_cast<uint16_t const *>(tensor_A_in.device_ref().data()),
|
|
tensor_A_in.leading_dim()
|
|
);
|
|
|
|
params_B.initialize(
|
|
desc,
|
|
reinterpret_cast<uint16_t const *>(tensor_A_in.device_ref().data()),
|
|
tensor_B_in.leading_dim()
|
|
);
|
|
|
|
test::fragment_stream<FragmentStreamA><<< dim3(1,1,1), dim3(Threads,1,1) >>>(
|
|
params_A,
|
|
tensor_A_out.device_data()
|
|
);
|
|
|
|
test::fragment_stream<FragmentStreamB><<< dim3(1,1,1), dim3(Threads,1,1) >>>(
|
|
params_B,
|
|
tensor_B_out.device_data()
|
|
);
|
|
|
|
tensor_A_out.sync_host();
|
|
tensor_B_out.sync_host();
|
|
|
|
bool passed_A = tensor_A_in.bit_equals(tensor_A_out);
|
|
bool passed_B = tensor_B_in.bit_equals(tensor_B_out);
|
|
|
|
EXPECT_TRUE(passed_A) << tensor_A_out;
|
|
if (!passed_A) {
|
|
this->template write<FragmentStreamA>(std::cout, params_A);
|
|
}
|
|
|
|
EXPECT_TRUE(passed_B) << "In: " << tensor_B_in << "\n, Out:\n" << tensor_B_out;
|
|
if (!passed_B) {
|
|
this->template write<FragmentStreamB>(std::cout, params_B);
|
|
}
|
|
}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemmFragmentStream, half_32x32x16_col_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 32, 32>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_128x64x16_col_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 64, 128>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_256x128x16_col_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
1
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
64,
|
|
2
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
128,
|
|
4
|
|
>().run();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemmFragmentStream, half_32x32x16_col_col) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 32, 32>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_128x64x16_col_col) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 64, 128>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_256x128x16_col_col) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
32,
|
|
1
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
64,
|
|
2
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
128,
|
|
4
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
128,
|
|
8
|
|
>().run();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemmFragmentStream, half_32x32x16_row_col) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 32, 32>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_128x64x16_row_col) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 64, 128>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_256x128x16_row_col) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
64,
|
|
4
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
128,
|
|
8
|
|
>().run();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemmFragmentStream, half_32x32x16_row_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 32, 32>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_128x64x16_row_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 64, 128>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half_256x128x16_row_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
2
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
64,
|
|
4
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
128,
|
|
8
|
|
>().run();
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemmFragmentStream, half4_32x32x16_row_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 32, 32>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
4
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half4_128x64x16_row_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 64, 128>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
4
|
|
>().run();
|
|
}
|
|
|
|
TEST(WmmaGemmFragmentStream, half4_256x128x16_row_row) {
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
32,
|
|
4
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
64,
|
|
4
|
|
>().run();
|
|
|
|
TestGemmFragmentStream<
|
|
cutlass::Shape<16, 128, 256>,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
128,
|
|
8
|
|
>().run();
|
|
}
|
|
|
|
#endif
|