applied-ai-018's picture
Add files using upload-large-folder tool
9f700b4 verified
raw
history blame
6.5 kB
import binascii
import hashlib
import importlib.util
import sys
from argparse import ArgumentParser
from pathlib import Path
from typing import List
import triton
from triton.compiler.code_generator import kernel_suffix
from triton.compiler.make_launcher import ty_to_cpp
desc = """
Triton ahead-of-time compiler:
This program compiles the kernel with name `kernel-name` in the file at the
provided `path` into self-contained C source-code that embeds the `cubin`
data along with utilities to load, unload and launch the kernel.
signature is provided as a list of (optionally divisibility-hinted) types
or constexpr values, e.g.
`compile.py --kernel-name kernel --signature "*fp32:16, i32:16, 1024, i32" --out-name kernel /path/to/kernel.py`
will compile triton.JITFunction of name `kernel` inside the file `/path/to/kernel.py`.
Said kernel will be specialized such that argument 0, 1 are assumed to be multiple of 16,
and argument 2 is assumed to be a compile-time constant of value 1024, i.e. it won't be part of the generated prototype.
The resulting entry point will have signature
CUresult kernel_{specialization_suffix}(CUstream stream, unsigned gX, unsigned gY, unsigned gZ, float* arg0, int32_t arg1, int32_t arg2)
Different such specialized entry points can be combined using the `linker.py` script.
NOTE: when resolving the scope of /path/to/kernel.py, the file will be executed from within its parent directory with the python interpreter
used to run this `compile.py` script
"""
if __name__ == "__main__":
# command-line arguments
parser = ArgumentParser(description=desc)
parser.add_argument("path",
help="Path to Python source containing desired kernel in its scope. File will be executed.")
parser.add_argument("--kernel-name", "-n", type=str, default="", help="Name of the kernel to compile",
required=True)
parser.add_argument("--num-warps", "-w", type=int, default=1, help="Number of warps to launch the kernel")
parser.add_argument("--num-stages", "-ns", type=int, default=3,
help="Number of stages (meta-parameter of the kernel)")
parser.add_argument("--out-name", "-on", type=str, default=None, help="Out name for the compiled kernel")
parser.add_argument("--out-path", "-o", type=Path, default=None, help="Out filename")
parser.add_argument("--signature", "-s", type=str, help="Signature of the kernel", required=True)
parser.add_argument("--grid", "-g", type=str, help="Launch grid of the kernel", required=True)
args = parser.parse_args()
out_name = args.out_name if args.out_name else args.kernel_name
out_path = args.out_path if args.out_path else Path(out_name)
# execute python sources and extract functions wrapped in JITFunction
arg_path = Path(args.path)
sys.path.insert(0, str(arg_path.parent))
spec = importlib.util.spec_from_file_location(arg_path.stem, arg_path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
kernel = getattr(mod, args.kernel_name)
grid = args.grid.split(",")
assert len(grid) == 3
# validate and parse signature
signature = list(map(lambda s: s.strip(" "), args.signature.split(",")))
def hash_signature(signature: List[str]):
m = hashlib.sha256()
m.update(" ".join(signature).encode())
return m.hexdigest()[:8]
meta_sig = f"warps{args.num_warps}xstages{args.num_stages}"
sig_hash = hash_signature(signature + [meta_sig])
def constexpr(s):
try:
ret = int(s)
return ret
except ValueError:
pass
try:
ret = float(s)
return ret
except ValueError:
pass
return None
hints = {i: constexpr(s.split(":")[1]) for i, s in enumerate(signature) if ":" in s}
hints = {k: v for k, v in hints.items() if v is not None}
constexprs = {i: constexpr(s) for i, s in enumerate(signature)}
constexprs = {k: v for k, v in constexprs.items() if v is not None}
signature = {i: s.split(":")[0] for i, s in enumerate(signature) if i not in constexprs}
const_sig = 'x'.join([str(v) for v in constexprs.values()])
doc_string = [f"{kernel.arg_names[i]}={constexprs[i]}" for i in constexprs.keys()]
doc_string += [f"num_warps={args.num_warps}", f"num_stages={args.num_stages}"]
# compile ast into cubin
for h in hints.values():
assert h in [1, 16], f"Only 1 and 16 are valid hints, got {h}"
divisible_by_16 = [i for i, h in hints.items() if h == 16]
equal_to_1 = [i for i, h in hints.items() if h == 1]
config = triton.compiler.instance_descriptor(divisible_by_16=divisible_by_16, equal_to_1=equal_to_1)
for i in equal_to_1:
constexprs.update({i: 1})
ccinfo = triton.compile(kernel, signature=signature, constants=constexprs, configs=[config],
num_warps=args.num_warps, num_stages=args.num_stages)
arg_names = []
arg_types = []
for i in signature.keys():
if i not in equal_to_1:
arg_names += [kernel.arg_names[i]]
arg_types += [signature[i]]
# dump C stub code
suffix = kernel_suffix(signature.values(), config)
func_name = '_'.join([out_name, sig_hash, suffix])
triton_kernel_name = '_'.join([args.kernel_name, suffix])
hex_ = str(binascii.hexlify(ccinfo.asm["cubin"]))[2:-1]
params = {
"kernel_name": func_name,
"triton_kernel_name": triton_kernel_name,
"bin_size": len(hex_),
"bin_data": ", ".join([f"0x{x}{y}" for x, y in zip(hex_[::2], hex_[1::2])]),
"signature": ", ".join([f"{ty_to_cpp(ty)} {name}" for name, ty in zip(arg_names, arg_types)]),
"full_signature": ", ".join([f"{ty_to_cpp(signature[i])} {kernel.arg_names[i]}" for i in signature.keys()]),
"arg_pointers": ", ".join([f"&{arg}" for arg in arg_names]),
"num_args": len(arg_names),
"kernel_docstring": doc_string,
"shared": ccinfo.shared,
"num_warps": args.num_warps,
"algo_info": '_'.join([const_sig, meta_sig]),
"gridX": grid[0],
"gridY": grid[1],
"gridZ": grid[2],
"_placeholder": "",
}
for ext in ['h', 'c']:
template_path = Path(__file__).parent / f"compile.{ext}"
with out_path.with_suffix(f".{sig_hash}_{suffix}.{ext}").open("w") as fp:
fp.write(Path(template_path).read_text().format(**params))