onnxruntime/tools/ci_build/compile_triton.py
Justin Chu c7c8757a1c
Use ruff as the formatter to replace black-isort (#23397)
Use ruff as the code formatter in place of black and isort since it is
much faster, and as projects like PyTorch and ONNX have adopted ruff
format as well.

This PR include only auto-fixed changes in formatting.
2025-01-16 11:14:15 -08:00

174 lines
5.5 KiB
Python

# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# --------------------------------------------------------------------------
import argparse
import importlib.util
import os
import shutil
import triton
def compile(function_table, out_dir):
def compile_one(func, sig, **kwargs):
ret = triton.compile(func, signature=sig, **kwargs)
return ret
metadata = []
for func_desc in function_table:
name = func_desc["name"]
group = func_desc["group"]
sig = func_desc["sig"]
func = func_desc["func"]
kwargs = func_desc["kwargs"]
# print("compile func: ", func_desc)
ret = compile_one(func, sig, **kwargs)
compile_res = {}
compile_res["name"] = name
compile_res["group"] = group
compile_res["func_name"] = ret.metadata["name"]
compile_res["num_warps"] = ret.metadata["num_warps"]
compile_res["shared"] = ret.metadata["shared"]
if "constants" in kwargs:
compile_res["constants"] = kwargs["constants"]
# move tmp kernel file into current dir
if "hsaco_path" in ret.asm and os.path.exists(ret.asm["hsaco_path"]):
# is rocm
lib_name = f"{name}.hsaco"
shutil.copyfile(ret.asm["hsaco_path"], f"{out_dir}/{lib_name}")
elif "cubin" in ret.asm:
# is cuda
lib_name = f"{name}.cubin"
# need to write cubin into file
with open(f"{out_dir}/{lib_name}", "wb") as fp:
fp.write(ret.asm["cubin"])
else:
raise Exception("not find rocm or cuda compiled kernel")
compile_res["lib_file"] = lib_name
metadata.append(compile_res)
return metadata
def convert_lib_to_obj(lib_file, out_dir):
obj_file = lib_file.split(".")[0] + ".o"
command = f"cd {out_dir}; objcopy -I binary -O elf64-x86-64 -B i386:x86-64 {lib_file} {obj_file}; cd -"
ret = os.system(command)
if ret != 0:
raise Exception(f"exec convert command: {command} failed.")
# check file exist
if not os.path.exists(f"{out_dir}/{obj_file}"):
raise Exception(f"the output file not exist, after exec comamnd: {command}")
return obj_file
def archive_obj_files(obj_files, out_dir, out_obj_file):
obj_files = " ".join(obj_files)
command = f"cd {out_dir}; ar rcs {out_obj_file} {obj_files}; cd -"
ret = os.system(command)
if ret != 0:
raise Exception(f"exec convert command: {command} failed.")
# check file exist
if not os.path.exists(f"{out_dir}/{out_obj_file}"):
raise Exception(f"the output file not exist, after exec comamnd: {command}")
def convert_and_save(metadata, header_file, out_dir, out_obj_file):
c_metadata = []
binary_files = []
for m in metadata:
meta_ele = []
obj_file = convert_lib_to_obj(m["lib_file"], out_dir)
binary_files.append(obj_file)
lib_name = m["lib_file"].replace(".", "_")
meta_ele.append(f'"_binary_{lib_name}_start"')
meta_ele.append(f'"{m["func_name"]}"')
meta_ele.append(f'"{m["group"]}"')
meta_ele.append(f'"{m["name"]}"')
meta_ele.append(str(m["num_warps"]))
meta_ele.append(str(m["shared"]))
# convert constants
constants = []
for k, v in m["constants"].items():
constants.append(f'{{ "{k}", {v!s}}}')
meta_ele.append(f"{{ {', '.join(constants)} }}")
c_metadata.append(f"{{ {', '.join(meta_ele)} }}")
archive_obj_files(binary_files, out_dir, out_obj_file)
code = f"""
#include <unordered_map>
struct _TritonKernelInfo {{
const char* name_start;
const char* func_name;
const char* group_name;
const char* name;
int num_warps;
int shared;
std::unordered_map<std::string, int> constants;
}};
const _TritonKernelInfo kernel_infos[] = {{
{", ".join(c_metadata)},
}};
"""
with open(header_file, "w") as fp:
fp.write(code)
def main(args):
out_obj_file = args.obj_file
out_dir = os.path.dirname(out_obj_file)
out_obj_file = os.path.basename(out_obj_file)
if not os.path.exists(out_dir):
os.mkdir(out_dir)
metadata = []
print("[triton kernel] start compile triton kernel.")
for i, f in enumerate(args.script_files):
# import module in f, and call function
spec = importlib.util.spec_from_file_location(f"module_{i}", f)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
func_tb = module.get_function_table()
m = compile(func_tb, out_dir)
metadata.extend(m)
print("[triton kernel] compile triton kernel done.")
# save metadata into header file
convert_and_save(metadata, args.header, out_dir, out_obj_file)
print("[triton kernel] save into file done.")
def get_arges():
parser = argparse.ArgumentParser(description="PyTorch Template Finetune Example")
parser.add_argument(
"--header", type=str, default="triton_kernel_infos.h", help="the header file that should be generated."
)
parser.add_argument("--ort_root", type=str, default="onnxruntime", help="the root dir of onnxruntime.")
parser.add_argument("--script_files", type=str, nargs="+", help="the root dir of onnxruntime.")
parser.add_argument("--obj_file", type=str, default="triton_kernel_infos.a", help="output target object files.")
args = parser.parse_args()
return args
if __name__ == "__main__":
args = get_arges()
main(args)