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from collections import defaultdict
from pathlib import Path
from typing import Sequence, Union
from dataclasses import dataclass
def _exists(x):
return x is not None
class LinkerError(Exception):
pass
@dataclass
class KernelLinkerMeta:
orig_kernel_name: str
arg_names: Sequence[str]
arg_ctypes: Sequence[str]
sizes: Sequence[Union[int, None]]
sig_hash: str
triton_suffix: str
suffix: str
num_specs: int
""" number of specialized arguments """
class HeaderParser:
def __init__(self) -> None:
import re
# [kernel_name, c signature]
self.linker_directives = re.compile("//[\\s]*tt-linker:[\\s]*([\\w]+):(.+):(.+)")
# [name, hash, suffix]
self.kernel_name = re.compile("^([\\w]+)_([\\w]+)_([\\w]+)$")
# [(type, name)]
self.c_sig = re.compile("[\\s]*(\\w+)\\s(\\w+)[,]?")
# [d|c]
self.arg_suffix = re.compile("[c,d]")
self.kernels = defaultdict(list)
def extract_linker_meta(self, header: str):
for ln in header.splitlines():
if ln.startswith("//"):
m = self.linker_directives.match(ln)
if _exists(m):
ker_name, c_sig, algo_info = m.group(1), m.group(2), m.group(3)
name, sig_hash, suffix = self._match_name(ker_name)
c_types, arg_names = self._match_c_sig(c_sig)
num_specs, sizes = self._match_suffix(suffix, c_sig)
self._add_kernel(
"_".join([name, algo_info]),
KernelLinkerMeta(
orig_kernel_name=name,
arg_names=arg_names,
arg_ctypes=c_types,
sizes=sizes,
sig_hash=sig_hash,
triton_suffix=suffix,
suffix=suffix,
num_specs=num_specs,
),
)
def _match_name(self, ker_name: str):
m = self.kernel_name.match(ker_name)
if _exists(m):
name, sig_hash, suffix = m.group(1), m.group(2), m.group(3)
return name, sig_hash, suffix
raise LinkerError(f"{ker_name} is not a valid kernel name")
def _match_c_sig(self, c_sig: str):
m = self.c_sig.findall(c_sig)
if len(m):
tys, args = [], []
for ty, arg_name in m:
tys.append(ty)
args.append(arg_name)
return tys, args
raise LinkerError(f"{c_sig} is not a valid argument signature")
def _match_suffix(self, suffix: str, c_sig: str):
args = c_sig.split(",")
s2i = {"c": 1, "d": 16}
num_specs = 0
sizes = []
# scan through suffix, first find the index,
# then see if it is followed by d or c
for i in range(len(args)):
pos = suffix.find(str(i))
if pos == -1:
raise LinkerError(f"{suffix} is not a valid kernel suffix")
pos += len(str(i))
if self.arg_suffix.match(suffix, pos):
num_specs += 1
sizes.extend([None] * (i - len(sizes)))
sizes.append(s2i[suffix[pos]])
pos += 1
if i < len(args) - 1:
suffix = suffix[pos:]
else:
sizes.extend([None] * (len(args) - len(sizes)))
return num_specs, sizes
def _add_kernel(self, name: str, ker: KernelLinkerMeta):
if name in self.kernels:
last: KernelLinkerMeta = self.kernels[name][-1]
for cur, new_ in zip(last.arg_ctypes, ker.arg_ctypes):
if cur != new_:
raise LinkerError(
f"Mismatched signature for kernel {name}: \n\texisting sig is: {','.join(last.arg_ctypes)}\n\tcurrent is: {','.join(ker.arg_ctypes)}"
)
self.kernels[name].append(ker)
def gen_signature_with_full_args(m):
return ", ".join([f"{ty} {arg}" for ty, arg in zip(m.arg_ctypes, m.arg_names)])
def gen_signature(m):
arg_types = [ty for ty, hint in zip(m.arg_ctypes, m.sizes) if hint != 1]
arg_names = [arg for arg, hint in zip(m.arg_names, m.sizes) if hint != 1]
sig = ", ".join([f"{ty} {arg}" for ty, arg in zip(arg_types, arg_names)])
return sig
# generate declarations of kernels with meta-parameter and constant values
def make_algo_decls(name: str, metas: Sequence[KernelLinkerMeta]) -> str:
return f"""
CUresult {name}(CUstream stream, {gen_signature_with_full_args(metas[-1])});
void load_{name}();
void unload_{name}();
"""
# generate declarations of kernels with meta-parameter and constant values
def make_global_decl(meta: KernelLinkerMeta) -> str:
return f"""
CUresult {meta.orig_kernel_name}_default(CUstream stream, {gen_signature_with_full_args(meta)});
CUresult {meta.orig_kernel_name}(CUstream stream, {gen_signature_with_full_args(meta)}, int algo_id);
void load_{meta.orig_kernel_name}();
void unload_{meta.orig_kernel_name}();
"""
# generate dispatcher function for kernels with different meta-parameter and constant values
def make_default_algo_kernel(meta: KernelLinkerMeta) -> str:
src = f"CUresult {meta.orig_kernel_name}_default(CUstream stream, {gen_signature_with_full_args(meta)}){{\n"
src += (f" return {meta.orig_kernel_name}(stream, {', '.join(meta.arg_names)}, 0);\n")
src += "}\n"
return src
# generate dispatcher function for kernels with different integer value hints
def make_kernel_hints_dispatcher(name: str, metas: Sequence[KernelLinkerMeta]) -> str:
src = f"// launcher for: {name}\n"
for meta in sorted(metas, key=lambda m: -m.num_specs):
src += f"CUresult {meta.orig_kernel_name}_{meta.sig_hash}_{meta.suffix}(CUstream stream, {gen_signature(meta)});\n"
src += "\n"
src += (f"CUresult {name}(CUstream stream, {gen_signature_with_full_args(metas[-1])}){{")
src += "\n"
for meta in sorted(metas, key=lambda m: -m.num_specs):
cond_fn = ( #
lambda val, hint: f"({val} % {hint} == 0)" #
if hint == 16 #
else f"({val} == {hint})" #
if hint == 1 #
else None)
conds = " && ".join([ #
cond_fn(val, hint) #
for val, hint in zip(meta.arg_names, meta.sizes) #
if hint is not None
])
src += (f" if ({conds})\n" if any(meta.sizes) else "if (1)\n"
) # Edge case where no specializations hence no dispatching required
arg_names = [arg for arg, hint in zip(meta.arg_names, meta.sizes) if hint != 1]
src += f" return {meta.orig_kernel_name}_{meta.sig_hash}_{meta.suffix}(stream, {', '.join(arg_names)});\n"
src += "\n"
src += " return CUDA_ERROR_INVALID_VALUE;\n"
src += "}\n"
for mode in ["load", "unload"]:
src += f"\n// {mode} for: {name}\n"
for meta in sorted(metas, key=lambda m: -m.num_specs):
src += f"void {mode}_{meta.orig_kernel_name}_{meta.sig_hash}_{meta.suffix}();\n"
src += f"void {mode}_{name}() {{"
src += "\n"
for meta in sorted(metas, key=lambda m: -m.num_specs):
src += (f" {mode}_{meta.orig_kernel_name}_{meta.sig_hash}_{meta.suffix}();\n")
src += "}\n"
return src
# generate dispatcher function for kernels with different meta-parameter and constant values
def make_kernel_meta_const_dispatcher(meta: KernelLinkerMeta) -> str:
src = f"CUresult {meta.orig_kernel_name}(CUstream stream, {gen_signature_with_full_args(meta)}, int algo_id){{\n"
src += f" assert (algo_id < (int)sizeof({meta.orig_kernel_name}_kernels));\n"
src += f" return {meta.orig_kernel_name}_kernels[algo_id](stream, {', '.join(meta.arg_names)});\n"
src += "}\n"
return src
# generate definition of function pointers of kernel dispatchers based on meta-parameter and constant values
def make_func_pointers(names: str, meta: KernelLinkerMeta) -> str:
# the table of hint dispatchers
src = f"typedef CUresult (*kernel_func_t)(CUstream stream, {gen_signature_with_full_args(meta)});\n"
src += f"kernel_func_t {meta.orig_kernel_name}_kernels[] = {{\n"
for name in names:
src += f" {name},\n"
src += "};\n"
return src
# generate definition for load/unload functions for kernels with different meta-parameter and constant values
def make_kernel_load_def(names: str, meta: KernelLinkerMeta) -> str:
src = ""
for mode in ["load", "unload"]:
src += f"void {mode}_{meta.orig_kernel_name}(void){{\n"
for name in names:
src += f" {mode}_{name}();\n"
src += "}\n\n"
return src
def make_get_num_algos_decl(meta: KernelLinkerMeta) -> str:
src = f"int {meta.orig_kernel_name}_get_num_algos(void);"
return src
def make_get_num_algos_def(meta: KernelLinkerMeta) -> str:
src = f"int {meta.orig_kernel_name}_get_num_algos(void){{\n"
src += f" return (int)sizeof({meta.orig_kernel_name}_kernels);\n"
src += "}\n"
return src
desc = """
Triton ahead-of-time linker:
This program takes in header files generated by compile.py, and generates a
single entry-point responsible for dispatching the user's input to the right
kernel given the specializations that were compiled.
Example usage:
python link.py /path/to/headers/*.h -o kernel_name
"""
if __name__ == "__main__":
from argparse import ArgumentParser
parser = ArgumentParser(description=desc)
parser.add_argument(
"headers",
nargs="+",
help="Paths to header files to link. Must include linker directive annotations (autogenerated by ttc)",
)
parser.add_argument("--out", "-o", type=Path, help="Out filename")
parser.add_argument(
"--prefix",
type=str,
default="",
help="String to prefix kernel dispatcher names",
)
args = parser.parse_args()
# metadata
parser = HeaderParser()
includes = []
for header in args.headers:
h_path = Path(header)
h_str = h_path.read_text()
includes.append(h_path.name)
parser.extract_linker_meta(h_str)
# generate headers
algo_decls = [make_algo_decls(name, meta) for name, meta in parser.kernels.items()]
meta_lists = [meta for name, meta in parser.kernels.items()]
meta = meta_lists[0][0]
get_num_algos_decl = make_get_num_algos_decl(meta)
global_decl = make_global_decl(meta)
with args.out.with_suffix(".h").open("w") as fp:
out = "#include <cuda.h>\n"
out += "\n".join(algo_decls)
out += "\n"
out += get_num_algos_decl
out += "\n"
out += global_decl
fp.write(out)
# generate source
defs = [make_kernel_hints_dispatcher(name, meta) for name, meta in parser.kernels.items()]
names = [name for name in parser.kernels.keys()]
func_pointers_def = make_func_pointers(names, meta)
meta_const_def = make_kernel_meta_const_dispatcher(meta)
load_unload_def = make_kernel_load_def(names, meta)
get_num_algos_def = make_get_num_algos_def(meta)
default_algo_kernel = make_default_algo_kernel(meta)
with args.out.with_suffix(".c").open("w") as fp:
out = ""
out += "#include <cuda.h>\n"
out += "#include <stdint.h>\n"
out += "#include <assert.h>\n"
out += "\n"
out += "\n".join(defs)
out += "\n"
out += func_pointers_def
out += "\n"
out += get_num_algos_def
out += "\n"
out += meta_const_def
out += "\n"
out += load_unload_def
out += "\n"
out += default_algo_kernel
fp.write(out)