Files
composable_kernel/example/91_tile_program/gemm_gemm.cpp
2024-07-18 08:37:13 +00:00

144 lines
6.0 KiB
C++

#include <cstring>
#include "ck/utility/common_header.hpp"
#include "ck/tensor_description/tensor_descriptor_helper.hpp"
#include "ck/tensor_description/cluster_descriptor.hpp"
#include "ck/tensor/tensor_view.hpp"
#include "ck/host_utility/device_prop.hpp"
#include "ck/host_utility/kernel_launch.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/utility/fill.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "reference_gemm.hpp"
#include "gemm_gemm.hpp"
int main(int argc, char* argv[])
{
using A0DataType = ck::half_t;
using B0DataType = ck::half_t;
using B1DataType = ck::half_t;
using Acc0DataType = float;
using C0DataType = ck::half_t;
using Acc1DataType = float;
using C1DataType = ck::half_t;
ck::index_t M0 = 13312;
ck::index_t N0 = 4096;
ck::index_t K0 = 128;
ck::index_t N1 = 128;
if(argc == 5)
{
M0 = std::stoi(argv[1]);
N0 = std::stoi(argv[2]);
K0 = std::stoi(argv[3]);
N1 = std::stoi(argv[4]);
}
std::array<ck::index_t, 2> a0_lengths{M0, K0};
std::array<ck::index_t, 2> a0_strides{K0, 1};
std::array<ck::index_t, 2> b0_lengths{N0, K0};
std::array<ck::index_t, 2> b0_strides{K0, 1};
std::array<ck::index_t, 2> c0_lengths{M0, N0};
std::array<ck::index_t, 2> c0_strides{N0, 1};
std::array<ck::index_t, 2> b1_lengths{N1, N0};
std::array<ck::index_t, 2> b1_strides{N0, 1};
std::array<ck::index_t, 2> c1_lengths{M0, N1};
std::array<ck::index_t, 2> c1_strides{N1, 1};
// host verify
Tensor<A0DataType> a0_host(a0_lengths, a0_strides);
Tensor<B0DataType> b0_host(b0_lengths, b0_strides);
Tensor<B1DataType> b1_host(b1_lengths, b1_strides);
Tensor<C0DataType> c0_host_ref(c0_lengths, c0_strides);
Tensor<C1DataType> c1_host_ref(c1_lengths, c1_strides);
Tensor<C1DataType> c1_host_dev(c1_lengths, c1_strides);
ck::utils::FillUniformDistributionIntegerValue<A0DataType>{-3.f, 3.f}(a0_host);
ck::utils::FillUniformDistributionIntegerValue<B0DataType>{-3.f, 3.f}(b0_host);
ck::utils::FillUniformDistributionIntegerValue<B1DataType>{-3.f, 3.f}(b1_host);
// reference gemm
reference_gemm<A0DataType, B0DataType, Acc0DataType, C0DataType>(a0_host, b0_host, c0_host_ref);
reference_gemm<C0DataType, B1DataType, Acc1DataType, C1DataType>(
c0_host_ref, b1_host, c1_host_ref);
DeviceMem a0_buf(sizeof(A0DataType) * a0_host.GetElementSpaceSize());
DeviceMem b0_buf(sizeof(B0DataType) * b0_host.GetElementSpaceSize());
DeviceMem b1_buf(sizeof(B1DataType) * b1_host.GetElementSpaceSize());
DeviceMem c1_buf(sizeof(C1DataType) * c1_host_ref.GetElementSpaceSize());
a0_buf.ToDevice(a0_host.mData.data());
b0_buf.ToDevice(b0_host.mData.data());
b1_buf.ToDevice(b1_host.mData.data());
constexpr ck::index_t kM0PerBlock = 128;
constexpr ck::index_t kN0PerBlock = 128;
constexpr ck::index_t kK0PerBlock = 32;
constexpr ck::index_t kN1PerBlock = 128;
constexpr ck::index_t kK1PerBlock = 32;
constexpr ck::index_t kBlockSize = 256;
ck::index_t kGridSize = (M0 / kM0PerBlock) * (N1 / kN1PerBlock);
std::cout << "grid size " << kGridSize << std::endl;
constexpr ck::index_t kWarpPerCu = 8; // 2 warps per SIMD
constexpr ck::index_t kWarpPerBlock = kBlockSize / warpSize;
constexpr ck::index_t kBlockPerCu = kWarpPerCu / kWarpPerBlock;
float ave_time =
launch_kernel<kBlockSize, kBlockPerCu>(StreamConfig{nullptr, true},
GemmGemm<A0DataType,
B0DataType,
B1DataType,
Acc0DataType,
C0DataType,
Acc1DataType,
C1DataType,
kBlockSize,
kM0PerBlock,
kN0PerBlock,
kK0PerBlock,
kN1PerBlock,
kK1PerBlock>{},
kGridSize,
kBlockSize,
0,
static_cast<A0DataType*>(a0_buf.GetDeviceBuffer()),
static_cast<B0DataType*>(b0_buf.GetDeviceBuffer()),
static_cast<B1DataType*>(b1_buf.GetDeviceBuffer()),
static_cast<C1DataType*>(c1_buf.GetDeviceBuffer()),
M0,
N0,
K0,
N1,
K0, // Lda0
K0, // Ldb0
N0, // Ldb1
N1); // Ldc1
c1_buf.FromDevice(c1_host_dev.mData.data());
std::size_t flop = std::size_t(2) * M0 * N0 * K0 + std::size_t(2) * M0 * N1 * N0;
std::size_t num_btype = sizeof(A0DataType) * M0 * K0 + sizeof(B0DataType) * N0 * K0 +
sizeof(B1DataType) * N1 * N0 + sizeof(C1DataType) * M0 * N1;
float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
float gb_per_sec = num_btype / 1.E6 / ave_time;
std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s"
<< std::endl;
return !ck::utils::check_err(c1_host_dev, c1_host_ref);
}