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

156 lines
6.6 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 "reference_softmax.hpp"
#include "gemm_softmax_gemm.hpp"
int main(int argc, char* argv[])
{
using QDataType = ck::half_t;
using KDataType = ck::half_t;
using VDataType = ck::half_t;
using SaccDataType = float;
using SMPLComputeDataType = float;
using PDataType = ck::half_t;
using OaccDataType = float;
using ODataType = 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> q_lengths{M0, K0};
std::array<ck::index_t, 2> q_strides{K0, 1};
std::array<ck::index_t, 2> k_lengths{N0, K0};
std::array<ck::index_t, 2> k_strides{K0, 1};
std::array<ck::index_t, 2> v_lengths{N1, N0};
std::array<ck::index_t, 2> v_strides{N0, 1};
std::array<ck::index_t, 2> s_lengths{M0, N0};
std::array<ck::index_t, 2> s_strides{N0, 1};
std::array<ck::index_t, 2> p_lengths{M0, N0};
std::array<ck::index_t, 2> p_strides{N0, 1};
std::array<ck::index_t, 2> o_lengths{M0, N1};
std::array<ck::index_t, 2> o_strides{N1, 1};
// host verify
Tensor<QDataType> q_host(q_lengths, q_strides);
Tensor<KDataType> k_host(k_lengths, k_strides);
Tensor<VDataType> v_host(v_lengths, v_strides);
Tensor<SMPLComputeDataType> s_host_ref(s_lengths, s_strides);
Tensor<PDataType> p_host_ref(p_lengths, p_strides);
Tensor<ODataType> o_host_ref(o_lengths, o_strides);
Tensor<ODataType> o_host_dev(o_lengths, o_strides);
#if 0
ck::utils::FillUniformDistributionIntegerValue<QDataType>{-3.f, 3.f}(q_host);
ck::utils::FillUniformDistributionIntegerValue<KDataType>{-3.f, 3.f}(k_host);
ck::utils::FillUniformDistributionIntegerValue<VDataType>{-3.f, 3.f}(v_host);
#else
ck::utils::FillUniformDistribution<QDataType>{-3.f, 3.f}(q_host);
ck::utils::FillUniformDistribution<KDataType>{-3.f, 3.f}(k_host);
ck::utils::FillUniformDistribution<VDataType>{-3.f, 3.f}(v_host);
#endif
// reference
reference_gemm<QDataType, KDataType, SaccDataType, SMPLComputeDataType>(
q_host, k_host, s_host_ref);
reference_softmax<SMPLComputeDataType, SMPLComputeDataType, PDataType>(s_host_ref, p_host_ref);
reference_gemm<PDataType, VDataType, OaccDataType, ODataType>(p_host_ref, v_host, o_host_ref);
DeviceMem q_buf(sizeof(QDataType) * q_host.GetElementSpaceSize());
DeviceMem k_buf(sizeof(KDataType) * k_host.GetElementSpaceSize());
DeviceMem v_buf(sizeof(VDataType) * v_host.GetElementSpaceSize());
DeviceMem o_buf(sizeof(ODataType) * o_host_ref.GetElementSpaceSize());
q_buf.ToDevice(q_host.mData.data());
k_buf.ToDevice(k_host.mData.data());
v_buf.ToDevice(v_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 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},
GemmSoftmaxGemm<QDataType,
KDataType,
VDataType,
SaccDataType,
SMPLComputeDataType,
PDataType,
OaccDataType,
ODataType,
kBlockSize,
kM0PerBlock,
kN0PerBlock,
kK0PerBlock,
kN1PerBlock>{},
kGridSize,
kBlockSize,
0,
static_cast<QDataType*>(q_buf.GetDeviceBuffer()),
static_cast<KDataType*>(k_buf.GetDeviceBuffer()),
static_cast<VDataType*>(v_buf.GetDeviceBuffer()),
static_cast<ODataType*>(o_buf.GetDeviceBuffer()),
M0,
N0,
K0,
N1,
K0, // StrideQ
K0, // StrideK
N0, // StrideV
N1); // StrideO
o_buf.FromDevice(o_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(QDataType) * M0 * K0 + sizeof(KDataType) * N0 * K0 +
sizeof(VDataType) * N1 * N0 + sizeof(ODataType) * 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(o_host_dev, o_host_ref);
}