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matmul test passes

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This commit is contained in:
Philippe Tillet
2019-08-23 17:13:30 -07:00
parent 64a6910644
commit 8798d240dc
5 changed files with 122 additions and 91 deletions
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115
lib/runtime/function.cpp
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@@ -17,7 +17,6 @@
#include "triton/ir/function.h"
#include "triton/tools/bench.hpp"
#include "llvm/IR/Module.h"
#include "triton/ir/print.h"
typedef struct yy_buffer_state * YY_BUFFER_STATE;
@@ -91,8 +90,8 @@ arg_type convert(ir::type *ty) {
throw std::runtime_error("unknown type");
}
function::caller::caller(ir::function *ir, std::shared_ptr<driver::module> parent, size_t n_threads)
: bin_(driver::kernel::create(&*parent, ir->get_name().c_str())), parent_(parent), n_threads_(n_threads) {
function::caller::caller(ir::function *ir, std::shared_ptr<driver::module> parent, const options_t& opt)
: bin_(driver::kernel::create(&*parent, ir->get_name().c_str())), parent_(parent), opt_(opt) {
// extract signature
ir::function_type* ty = ir->get_fn_type();
for(size_t i = 0; i < ty->get_num_params(); i++)
@@ -113,12 +112,10 @@ void function::caller::operator ()(driver::stream *stream, const std::array<size
else
bin_->setArg(i, size_of(ty), arg_i.data());
}
stream->enqueue(&*bin_, grid, {n_threads_, 1, 1});
stream->enqueue(&*bin_, grid, {opt_.num_warps * 32, 1, 1});
}
std::unique_ptr<ir::module> function::make_ir(Parser& parser) {
// create Triton-IR from AST
ir::module* module = new ir::module("", ctx_);
@@ -127,59 +124,59 @@ std::unique_ptr<ir::module> function::make_ir(Parser& parser) {
return std::unique_ptr<ir::module>(module);
}
options function::autotune(Parser& parser, driver::stream* stream, const grid_fn_ty& grid_fn, const std::vector<arg>& args) {
std::unique_ptr<ir::module> ir = make_ir(parser);
// extract tunable values
std::vector<std::pair<std::string, ir::metaparameter*>> values;
for(auto it: ir->globals())
if(auto *mp = dynamic_cast<ir::metaparameter*>(it.second))
values.push_back({it.first, mp});
// extract search space
std::vector<std::vector<unsigned>> space;
space.push_back({1, 2, 4, 8}); // num warps
for(auto it: values)
space.push_back(it.second->get_space());
function::caller function::autotune(driver::stream* stream, const grid_fn_ty& grid_fn,
const std::vector<arg>& args) {
// all tuning parameters are strings
std::vector<std::string> num_warps;
for(size_t i: opt_space_.num_warps)
num_warps.push_back(std::to_string(i));
std::vector<std::vector<std::string>> space;
space.push_back(num_warps);
for(const auto& i: opt_space_.defines)
space.push_back(i.second);
// exhaustive search
struct profile_t{
double ts;
std::vector<unsigned> params;
};
profile_t best = { INFINITY, {} };
std::function<void(std::vector<unsigned>)> benchmark =
[&](std::vector<unsigned> params) {
// options
options opt;
double best_ts = INFINITY;
std::unique_ptr<caller> ret;
auto benchmark = [&](std::vector<std::string> params) {
// extract options
options_t opt;
unsigned i = 0;
opt.num_warps = params[i++];
for(auto it: values)
opt.params[it.first] = params[i++];
// make binary
opt.num_warps = std::stoi(params[i++]);
for(auto it: opt_space_.defines)
opt.defines[it.first] = params[i++];
// pre-process
TokenSequence tokens;
Preprocessor cpp(&src_, true);
for(auto it: opt_space_.defines)
cpp.AddMacro(it.first, &opt.defines.at(it.first));
cpp.Process(tokens);
// parse
Parser parser(tokens);
parser.Parse();
// triton-ir code-gen
auto ir = make_ir(parser);
// binary code-gen
auto bin = make_bin(*ir, stream->context(), opt);
// benchmark
ir::function *tmp = ir->get_function_list()[0];
caller fn(tmp, std::move(bin), opt.num_warps * 32);
double ts = tools::bench([&]() { fn(stream, grid_fn(opt.params), args); }, stream);
if(ts < best.ts)
best = {ts, params};
caller call(tmp, std::move(bin), opt);
double ts = tools::bench([&]() { call(stream, grid_fn(opt), args); }, stream);
// save best
if(ts < best_ts)
ret.reset(new caller(call));
};
_parallel_loop_nest<unsigned>(space, benchmark, 1);
// populate options
unsigned current = 0;
options opt;
opt.num_warps = best.params[current++];
for(auto it: values)
opt.params[it.first] = best.params[current++];
return opt;
_parallel_loop_nest<std::string>(space, benchmark, 1);
return *ret;
}
std::unique_ptr<driver::module> function::make_bin(ir::module &module, driver::context *context, const options& opt) {
std::unique_ptr<driver::module> function::make_bin(ir::module &module, driver::context *context, const options_t& opt) {
std::unique_ptr<codegen::target> target = context->device()->make_target();
// update metaparameter values
for(auto x: opt.params)
if(auto* mp = dynamic_cast<ir::metaparameter*>(module.globals().at(x.first)))
mp->set_value(x.second);
// create passes
codegen::analysis::grids tune(opt.num_warps);
codegen::analysis::shmem::info shmem_info;
@@ -210,8 +207,6 @@ std::unique_ptr<driver::module> function::make_bin(ir::module &module, driver::c
// generate llvm code
llvm::LLVMContext ctx;
std::unique_ptr<llvm::Module> llvm(new llvm::Module(module.get_name(), ctx));
ir::print(module, std::cout);
exit(EXIT_FAILURE);
selection.run(module, *llvm);
// return binary
std::unique_ptr<driver::module> res(driver::module::create(context, llvm.get()));
@@ -219,11 +214,8 @@ std::unique_ptr<driver::module> function::make_bin(ir::module &module, driver::c
}
function::function(const std::string &src): parser_(ts_), src_(src){
Preprocessor cpp(&src_, true);
cpp.Process(ts_);
ts_.Print();
parser_.Parse();
function::function(const std::string &src, const options_space_t& opt): src_(src), opt_space_(opt) {
}
void function::operator()(const std::vector<arg>& args, const grid_fn_ty& grid_fn, driver::stream *stream) {
@@ -244,21 +236,18 @@ void function::operator()(const std::vector<arg>& args, const grid_fn_ty& grid_f
/* find existing configuration */
auto it = cache_.find(key);
if(it != cache_.end()){
it->second.second(stream, grid_fn(it->second.first.params), args);
it->second(stream, grid_fn(it->second.opt()), args);
return;
}
/* re-tune and re-compile */
options opt = autotune(parser_, stream, grid_fn, args);
std::unique_ptr<ir::module> ir = make_ir(parser_);
std::unique_ptr<driver::module> bin = make_bin(*ir, stream->context(), opt);
ir::function* fn = ir->get_function_list().front();
const caller& run = cache_.insert({key, cache_val_t{opt, caller(fn, std::move(bin), opt.num_warps*32)}}).first->second.second;
run(stream, grid_fn(opt.params), args);
caller call = autotune(stream, grid_fn, args);
cache_.insert({key, call});
}
void function::operator()(const std::vector<arg>& args, const grid_t& grid, driver::stream *stream) {
return this->operator()(args, [&grid](const params_t&){ return grid; }, stream);
return this->operator()(args, [&grid](const options_t&){ return grid; }, stream);
}
}