This commit is contained in:
@@ -33,8 +33,8 @@ endif()
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if(BUILD_PYTHON_MODULE)
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message(STATUS "Adding Python module")
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# PyBind11 wrapper source file
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file(GLOB_RECURSE PYTHON_SRC python/src/bindings.cc)
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include_directories(python/src/ ${PYTHON_INCLUDE_DIRS})
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set(PYTHON_SRC bindings.cc)
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include_directories("." ${PYTHON_INCLUDE_DIRS})
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endif()
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1
python/MANIFEST.in
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1
python/MANIFEST.in
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@@ -0,0 +1 @@
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graft src
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@@ -61,6 +61,8 @@ class CMakeBuild(build_ext):
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cmake_args = ['-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + extdir,
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'-DBUILD_TESTS=OFF',
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'-DBUILD_PYTHON_MODULE=ON',
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#'-DPYTHON_EXECUTABLE=' + sys.executable,
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#'-DCMAKE_VERBOSE_MAKEFILE:BOOL=ON,
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'-DPYTHON_INCLUDE_DIRS=' + python_include_dirs,
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'-DLLVM_CONFIG=' + find_llvm()]
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# configuration
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@@ -82,19 +84,19 @@ class CMakeBuild(build_ext):
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self.distribution.get_version())
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if not os.path.exists(self.build_temp):
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os.makedirs(self.build_temp)
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sourcedir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
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sourcedir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'src'))
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subprocess.check_call(['cmake', sourcedir] + cmake_args, cwd=self.build_temp, env=env)
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subprocess.check_call(['cmake', '--build', '.'] + build_args, cwd=self.build_temp)
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find_llvm()
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directories = [x[0] for x in os.walk(os.path.join(os.path.pardir, 'include'))]
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directories = [x[0] for x in os.walk(os.path.join('src', 'include'))]
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data = []
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for d in directories:
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for htype in ['h', 'hpp']:
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files = glob.glob(os.path.join(d, f'*.{htype}'), recursive=False)
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data += [os.path.relpath(f, os.path.pardir) for f in files]
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data += [os.path.relpath(f, 'src') for f in files]
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setup(
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name='triton',
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1
python/src/CMakeLists.txt
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1
python/src/CMakeLists.txt
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@@ -0,0 +1 @@
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../../CMakeLists.txt
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@@ -22,38 +22,39 @@ using namespace triton;
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namespace rt = triton::runtime;
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std::map<size_t, std::shared_ptr<rt::function::grid_fn_ty>> id_grid_map;
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std::map<size_t, std::shared_ptr<rt::function>> id_fn_map;
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typedef std::pair<size_t, size_t> map_key_t;
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std::map<map_key_t, std::shared_ptr<rt::function::grid_fn_ty>> id_grid_map;
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std::map<map_key_t, std::shared_ptr<rt::function>> id_fn_map;
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std::map<size_t, double> fp64scalar_map;
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std::map<size_t, int64_t> i64scalar_map;
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/* Grid map */
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void register_grid(size_t id,
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void register_grid(const map_key_t& key,
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const rt::function::grid_fn_ty& grid_fn) {
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id_grid_map[id].reset(new rt::function::grid_fn_ty(grid_fn));
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id_grid_map[key].reset(new rt::function::grid_fn_ty(grid_fn));
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}
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void delete_grid(size_t id) {
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id_grid_map.erase(id);
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void delete_grid(const map_key_t& key) {
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id_grid_map.erase(key);
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}
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/* Function map */
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void register_fn(size_t id,
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void register_fn(const map_key_t& key,
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const std::string& src,
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const rt::function::options_space_t& opt,
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const std::string &cache_ref) {
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id_fn_map[id].reset(new rt::function(src, opt, cache_ref));
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id_fn_map[key].reset(new rt::function(src, opt, cache_ref));
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}
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void delete_fn(size_t id) {
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id_fn_map.erase(id);
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void delete_fn(const map_key_t& key) {
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id_fn_map.erase(key);
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}
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void register_cst(size_t id, const std::string& name, pybind11::buffer& data) {
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void register_cst(const map_key_t& key, const std::string& name, pybind11::buffer& data) {
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pybind11::buffer_info info = data.request();
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id_fn_map[id]->set_cst(name, info.ptr, info.size*info.itemsize);
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id_fn_map[key]->set_cst(name, info.ptr, info.size*info.itemsize);
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}
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void cleanup() {
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@@ -487,6 +488,7 @@ void gen_torch_signature(std::ostringstream& oss,
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std::string ret_ty = "void";
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oss << ret_ty << " " << name << "(";
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oss << "int64_t id, ";
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oss << "int64_t dev_id, ";
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oss << "int64_t bench, ";
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oss << "int64_t bench_id, ";
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for(size_t i = 0; i < args.size(); i++) {
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@@ -531,7 +533,7 @@ void gen_torch_make_handles(std::ostream &os,
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void gen_torch_make_launch_function(std::ostream &os,
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const std::vector<rt::arg_type>& args) {
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os << " std::function<void()> run = [&](){\n ";
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os << " (*id_fn_map.at(id))({";
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os << " (*id_fn_map.at({id, dev_id}))({";
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for(unsigned i = 0; i < args.size() ; i++){
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std::string name = "arg_" + std::to_string(i);
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if(args[i] == rt::BUFFER_T)
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@@ -540,7 +542,7 @@ void gen_torch_make_launch_function(std::ostream &os,
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os << ", ";
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os << name;
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}
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os << "}, *id_grid_map.at(id), &stream);\n";
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os << "}, *id_grid_map.at({id, dev_id}), &stream);\n";
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os << " };\n";
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os << " run();\n";
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os << " if(bench > 0)\n ";
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@@ -580,8 +582,9 @@ std::tuple<std::string,
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namespace rt = triton::runtime;
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namespace drv = triton::driver;
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extern std::map<size_t, std::shared_ptr<rt::function::grid_fn_ty>> id_grid_map;
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extern std::map<size_t, std::shared_ptr<rt::function>> id_fn_map;
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typedef std::pair<size_t, size_t> map_key_t;
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extern std::map<map_key_t, std::shared_ptr<rt::function::grid_fn_ty>> id_grid_map;
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extern std::map<map_key_t, std::shared_ptr<rt::function>> id_fn_map;
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extern std::map<size_t, int64_t> i64scalar_map;
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)";
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1
python/src/cmake
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1
python/src/cmake
Symbolic link
@@ -0,0 +1 @@
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../../cmake/
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1
python/src/include
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1
python/src/include
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@@ -0,0 +1 @@
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../../include/
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1
python/src/lib
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1
python/src/lib
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@@ -0,0 +1 @@
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../../lib/
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@@ -185,7 +185,8 @@ class kernel:
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opt.defines = macros
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opt.num_warps = num_warps
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self.op_id = libtriton.make_op_id()
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libtriton.register_fn(self.op_id, self.src, opt, os.path.realpath(libtriton.__file__))
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self.opt = opt
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self.registered = set()
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# create pytorch hook
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arg_types = libtriton.get_fn_signature(self.src, opt)
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self.fw_op = _make_framework_op(arg_types)
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@@ -194,6 +195,14 @@ class kernel:
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libtriton.register_cst(self.op_id, name, value)
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def __call__(self, *args, **kwargs):
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for x in args:
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if isinstance(x, fw.torch.Tensor):
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device = x.device.index
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break
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# lazily register function for device
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if device not in self.registered:
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self.registered.add(device)
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libtriton.register_fn((self.op_id, device), self.src, self.opt, os.path.realpath(libtriton.__file__))
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# launch options
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bench = kwargs['bench'] if 'bench' in kwargs else 0
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bench_id = libtriton.make_scalar_id() if bench > 0 else -1
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@@ -201,8 +210,8 @@ class kernel:
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if 'grid' not in kwargs:
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raise RuntimeError('Must provide grid for kernel launch')
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grid = kwargs['grid']
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libtriton.register_grid(self.op_id, grid)
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libtriton.register_grid((self.op_id, device), grid)
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# launch
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self.fw_op(self.op_id, bench, bench_id, *args)
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self.fw_op(self.op_id, device, bench, bench_id, *args)
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if bench > 0:
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return libtriton.retrieve_scalar(bench_id)
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