Files
triton-tvm-ffi/python/triton_tvm_ffi/jit.py
2026-02-05 15:59:22 +08:00

92 lines
2.7 KiB
Python

from __future__ import annotations
from functools import cached_property
import inspect
from typing import Any, Callable, Dict, Final, List, Optional, Tuple, Union
import torch
from triton.compiler import CompiledKernel
from triton.runtime import JITFunction
import tvm_ffi
from .utils import type_canonicalize
class TVMFFIJITFunction(object):
def __init__(self, fn: JITFunction, *args, **kwargs) -> None:
super().__init__(*args, **kwargs)
self.fn: Final[JITFunction] = fn
self.signature: Optional[List[str]] = None
self.ctypes: Optional[List[Optional[str]]] = None
self.kernel: Optional[bytes] = None
self.num_warps: Optional[int] = None
@tvm_ffi.register_global_func(self.fullname)
def _(
grid: Union[
Callable[[Dict[str, Any]], Tuple[int, int, int]], Tuple[int, int, int]
],
_: int,
num_warps: Optional[int],
num_stages: Optional[int],
*args,
**kwargs,
):
args: List[Any] = map(self.canonicalize, args)
kwargs: Dict[str, Any] = {
k: self.canonicalize(v) for k, v in kwargs.items()
}
if num_warps is not None:
kwargs["num_warps"] = num_warps
if num_stages is not None:
kwargs["num_stages"] = num_stages
kernel: CompiledKernel = self.fn[grid](*args, **kwargs)
self.num_warps, _, _ = kernel.packed_metadata
self.signature = [*inspect.signature(self.fn.fn).parameters.keys()]
self.ctypes = [type_canonicalize(v) for v in kernel.src.signature.values()]
self.kernel = kernel.kernel
return kernel
def __getitem__(
self,
grid: Union[
Callable[[Dict[str, Any]], Tuple[int, int, int]], Tuple[int, int, int]
],
):
return self.fn[grid]
@property
def cache_hash(self) -> int:
return self.ctypes_hash ^ self.kernel_hash
@property
def ctypes_hash(self) -> int:
return hash(tuple(self.ctypes) if self.ctypes is not None else None)
@property
def kernel_hash(self) -> int:
return hash(self.kernel)
@cached_property
def fnname(self) -> str:
return self.fn.fn.__name__
@cached_property
def fullname(self) -> str:
return f"triton.{self.name}"
@cached_property
def name(self) -> str:
return f"{self.fnname}_{hash(self.fn.fn)}"
@staticmethod
def canonicalize(val: Any) -> Any:
if hasattr(val, "__dlpack__"):
return torch.from_dlpack(val)
else:
return val
def jit(fn: JITFunction) -> TVMFFIJITFunction:
return TVMFFIJITFunction(fn)