Files
StarPilot/tinygrad_repo/extra/thunder/tiny/tk/kernel.py
T
firestar5683 22a8575199 Vendor dependencies and resources for standalone builds
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
2026-10-03 21:01:18 +00:00

114 lines
4.1 KiB
Python

from contextlib import AbstractContextManager
from tinygrad.uop.ops import UOp, KernelInfo, AxisType, AddrSpace
from extra.thunder.tiny.tk import WARP_THREADS
from extra.thunder.tiny.tk.group import Group
from extra.thunder.tiny.tk.tiles import GL, ST_16X16, ST, RT_16X16, RT, RV, TileLayout, VecLayout
class _tk_range:
def __init__(self, start:int, end:int, step:int, axis_type:AxisType, rid:int):
self.start, self.end, self.step = start, end, step
self.axis_type, self.rid, self.done = axis_type, rid, False
def __iter__(self): return self
def __next__(self):
if not self.done:
self.done = True
self._rng = UOp.range((self.end - self.start) // self.step, self.rid, axis_type=self.axis_type) * self.step + self.start
return self._rng
raise StopIteration
class Kernel(AbstractContextManager):
def __init__(self, name:str, grid_size:tuple[int, int, int], block_size:int):
self.name = name
self.blockIdx_x = UOp.special(grid_size[0], "gidx0")
self.blockIdx_y = UOp.special(grid_size[1], "gidx1")
self.blockIdx_z = UOp.special(grid_size[2], "gidx2")
self.threadIdx_x = UOp.special(block_size, "lidx0")
self.range_stack: list[_tk_range] = []
self.store_stack: list[tuple[UOp, UOp]] = []
self.global_slot = 0
self.shared_slot = 0
self.register_slot = 0
self.range_id = 0
self.allocs: dict[tuple[str, tuple], UOp] = {}
@property
def warpid(self): return self.threadIdx_x // WARP_THREADS
@property
def laneid(self): return self.threadIdx_x % WARP_THREADS
def __enter__(self): return self
def __exit__(self, exc_type, exc_value, traceback): pass
def group(self, size:int): return Group(size, self)
@property
def warp(self): return self.group(1)
@property
def warpgroup(self): return self.group(4)
def range(self, start:int, end:int=0, step:int=1, axis_type:AxisType=AxisType.WEAK, track:bool=True):
if end == 0: start, end = 0, start
rng = _tk_range(start, end, step, axis_type, self.range_id)
self.range_id += 1
if track: self.range_stack.append(rng)
return rng
def raw_range(self, end:int=0, axis_type:AxisType=AxisType.WEAK):
rng = UOp.range(end, self.range_id, axis_type=axis_type)
self.range_id += 1
return rng
def alloc(self, shape, dtype, addrspace:AddrSpace, name:str|None=None):
match addrspace:
case AddrSpace.GLOBAL:
slot = self.global_slot
self.global_slot += 1
case AddrSpace.LOCAL:
slot = self.shared_slot
self.shared_slot += 1
case AddrSpace.REG:
slot = self.register_slot
self.register_slot += 1
uop = UOp.placeholder(shape, dtype, slot=slot, addrspace=addrspace)
if name:
if (name, shape) in self.allocs: return self.allocs[(name, shape)]
self.allocs[(name, shape)] = uop
return uop
def gl(self, shape, dtype): return GL.create(shape, dtype, self)
def st(self, shape, dtype, layout=TileLayout.ROW, base_shape=ST_16X16): return ST.create(shape, dtype, layout, base_shape, self)
def rt(self, shape, dtype, layout=TileLayout.ROW, base_shape=RT_16X16): return RT.create(shape, dtype, layout, base_shape, self)
def rv(self, length, dtype, layout=VecLayout.ORTHO, rt_base_shape=RT_16X16): return RV.create(length, dtype, layout, rt_base_shape, self)
def push_store(self, store:UOp, uop:UOp): self.store_stack.append((store, uop))
def finish(self, stores:int=1):
# end all ranges
rngs = []
while self.range_stack: rngs.append(self.range_stack.pop(0)._rng)
# end stores stores
store_uops = []
for _ in range(stores):
store = self.store_stack.pop()[0]
if hasattr(store, '_uop'): store_uops.append(store._uop)
else: store_uops.append(store)
uop = UOp.group(*store_uops)
return uop.end(*rngs).sink(arg=KernelInfo(name=self.name, opts_to_apply=())).simplify()
def endrange(self, ranges:int=1):
last_store = self.store_stack.pop()
rngs = []
for _ in range(ranges):
last_range = self.range_stack.pop()
rngs.append(last_range._rng)
return last_store[1].after(last_store[0].end(*rngs)).reshape(last_store[1].shape)