129 lines
4.2 KiB
C++
129 lines
4.2 KiB
C++
#include <cstring>
|
|
#include <sstream>
|
|
#include <cstdio>
|
|
#include "triton/runtime/jit.h"
|
|
#include "triton/driver/backend.h"
|
|
#include "triton/driver/stream.h"
|
|
#include "triton/dnn/dot.h"
|
|
#include "triton/tools/bench.hpp"
|
|
#include "triton/external/half.hpp"
|
|
#include "cuda.h"
|
|
|
|
template<class T>
|
|
void diff(const std::vector<T>& x, const std::vector<T>& y){
|
|
for(size_t i = 0; i < x.size(); i++)
|
|
if(std::isnan(x[i]) || std::abs(x[i] - y[i])/std::max(x[i], y[i]) > 1e-4){
|
|
std::cout << i << " " << x[i] << " " << y[i] << std::endl;
|
|
exit(EXIT_FAILURE);
|
|
}
|
|
std::cout << "Pass!" << std::endl;
|
|
}
|
|
|
|
struct perf_t {
|
|
double triton;
|
|
double cublas;
|
|
};
|
|
|
|
|
|
perf_t do_bench(triton::driver::stream* stream, bool AT, bool BT, int32_t M, int32_t N, int32_t K){
|
|
typedef half NumericT;
|
|
std::string ty = "half";
|
|
size_t dt_nbytes = sizeof(NumericT);
|
|
triton::driver::context* context = stream->context();
|
|
std::vector<NumericT> hc(M*N);
|
|
std::vector<NumericT> ha(M*K);
|
|
std::vector<NumericT> hb(K*N);
|
|
srand(0);
|
|
for(size_t i = 0; i < ha.size(); i++)
|
|
ha[i] = static_cast<NumericT>((double)rand()/RAND_MAX);
|
|
for(size_t i = 0; i < hb.size(); i++)
|
|
hb[i] = static_cast<NumericT>((double)rand()/RAND_MAX);
|
|
for(size_t i = 0; i < hc.size(); i++)
|
|
hc[i] = static_cast<NumericT>((double)0);
|
|
triton::driver::buffer* dc = triton::driver::buffer::create(context, hc.size()*dt_nbytes);
|
|
triton::driver::buffer* da = triton::driver::buffer::create(context, ha.size()*dt_nbytes);
|
|
triton::driver::buffer* db = triton::driver::buffer::create(context, hb.size()*dt_nbytes);
|
|
stream->write(da, true, 0, ha);
|
|
stream->write(db, true, 0, hb);
|
|
stream->write(dc, true, 0, hc);
|
|
stream->synchronize();
|
|
triton::dnn::dot dot(M, N, K, AT, BT, ty, ty, 8, 8, 8);
|
|
// benchmark triton
|
|
double triton_ns = triton::tools::bench([&]() { dot.enqueue(stream, {da, db, dc}, triton::dnn::NO_TUNING);}, stream);
|
|
// benchmark cublas
|
|
// NumericT alpha = 1;
|
|
// NumericT beta = 0;
|
|
// int32_t lda = AT ? K : M;
|
|
// int32_t ldb = BT ? N : K;
|
|
// int32_t ldc = M;
|
|
// cublasGemmAlgo_t fastest;
|
|
// cublasGemm(HALF_TYPE, stream, AT, BT, M, N, K,
|
|
// &alpha, da, lda,
|
|
// db, ldb, &beta,
|
|
// dc, ldc, &fastest);
|
|
// double cublas_ns = triton::tools::bench([&]() { cublasGemm(HALF_TYPE, stream, AT, BT, M, N, K,
|
|
// &alpha, da, lda,
|
|
// db, ldb, &beta,
|
|
// dc, ldc, nullptr, CUBLAS_GEMM_DEFAULT_TENSOR_OP); }, stream);
|
|
// result
|
|
auto tflops = [&](double nanosec) { return dot.num_flops() / nanosec * 1e-3; };
|
|
|
|
perf_t result;
|
|
// result.cublas = tflops(cublas_ns);
|
|
result.triton = tflops(triton_ns);
|
|
|
|
// test
|
|
stream->read(dc, true, 0, hc);
|
|
std::vector<NumericT> rc(hc.size());
|
|
dot.cpu_ref(rc, ha, hb);
|
|
for(size_t i = 0; i < M*N; i++)
|
|
if(std::isnan(hc[i]) || std::abs(hc[i] - rc[i])/std::max(hc[i], rc[i]) > 1e-4){
|
|
std::cout << i << " " << hc[i] << " " << rc[i] << std::endl;
|
|
exit(EXIT_FAILURE);
|
|
}
|
|
std::cout << "Pass!" << std::endl;
|
|
|
|
// clean-up
|
|
delete dc;
|
|
delete da;
|
|
delete db;
|
|
return result;
|
|
}
|
|
|
|
int main() {
|
|
struct config_t{
|
|
bool AT;
|
|
bool BT;
|
|
int32_t M;
|
|
int32_t N;
|
|
int32_t K;
|
|
|
|
std::string repr() {
|
|
std::ostringstream oss;
|
|
oss << AT << " " << BT << " " << M << " " << N << " " << K;
|
|
return oss.str();
|
|
}
|
|
|
|
perf_t perf(triton::driver::stream *stream){
|
|
return do_bench(stream, AT, BT, M, N, K);
|
|
}
|
|
};
|
|
// shapes to benchmark
|
|
std::vector<config_t> configs = {
|
|
// {false, false, 8192, 512, 512},
|
|
// {false, true, 8192, 8192, 8192}
|
|
{false, true, 128, 128, 128},
|
|
// {false, true, 32768, 256, 512}
|
|
// {true, false, 8192, 512, 512},
|
|
// {true, true, 8192, 512, 512}
|
|
};
|
|
// initialize default compute device
|
|
auto context = triton::driver::backend::contexts::get_default();
|
|
triton::driver::stream* stream = triton::driver::stream::create(context);
|
|
// does the work
|
|
for(config_t c: configs){
|
|
perf_t perf = c.perf(stream);
|
|
std::cout << "// " << c.repr() << ", " << perf.triton << ", " << perf.cublas << std::endl;
|
|
}
|
|
}
|