rangeify: use Ops.REALIZE and not Ops.CONTIGUOUS if it's added by system (#12111)

* rangeify: use Ops.REALIZE and not Ops.CONTIGUOUS if it's added by system

* fix contig + BufferizeOpts

* no outerworld
This commit is contained in:
George Hotz
2025-09-11 11:56:59 +08:00
committed by GitHub
parent 52ebed991e
commit 3ef0e5e01e
6 changed files with 35 additions and 18 deletions
+1
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@@ -154,6 +154,7 @@ class TestRangeify(unittest.TestCase):
# contiguous + reduce can support ranges?
@unittest.skip("okay to disable this for now")
@unittest.skipIf(RANGEIFY<1, "tests only for RANGEIFY")
class TestOuterworld(unittest.TestCase):
def test_passthrough_range(self):
+2 -1
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@@ -3,6 +3,7 @@ import functools, itertools, operator
from tinygrad.dtype import dtypes, PtrDType, AddrSpace
from tinygrad.helpers import AMX, dedup, flatten, all_same, prod, partition
from tinygrad.uop.ops import UOp, Ops, UPat, PatternMatcher, GroupOp, AxisType
from tinygrad.schedule.rangeify import BufferizeOpts
def _expand_arg_to_idx(args:tuple[tuple[int, int], ...], rpk:dict[int, int]) -> int:
idx, mul = 0, 1
@@ -142,7 +143,7 @@ def fix_group_for_reduce(x:UOp):
# do only the non grouped reduces early
ret = x.replace(src=(x.src[0],)+tuple(reduce_r))
reduce_loop = [x.replace(arg=(x.arg[0]+100, AxisType.REDUCE)) for x in reduce_gfr]
buf = ret.bufferize(*upstream_locals, *reduce_gfr, arg=(AddrSpace.LOCAL, reduce_gfr[0].arg[0])).index(*upstream_locals, *reduce_loop)
buf = ret.bufferize(*upstream_locals, *reduce_gfr, arg=BufferizeOpts(reduce_gfr[0].arg[0], AddrSpace.LOCAL)).index(*upstream_locals, *reduce_loop)
# gate with an if on the store + do the final reduce
buf = UOp(Ops.IF, dtype=buf.dtype, src=(functools.reduce(operator.and_, [x.eq(0) for x in reduce_gfr]), buf))
+29 -16
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@@ -58,8 +58,8 @@ def realize_assign(ctx:dict[UOp, None], a:UOp) -> None:
do_realize = PatternMatcher([
# always realize SINK parents
(UPat(Ops.SINK, name="s"), lambda ctx,s: ctx.update((x.base, None) for x in s.src if x.base.op not in ALWAYS_CONTIGUOUS)),
# always realize ASSIGN/COPY/BUFFER_VIEW
(UPat({Ops.ASSIGN, Ops.COPY, Ops.BUFFER_VIEW}, name="tr"), realize),
# always realize ASSIGN/COPY/BUFFER_VIEW/CONTIGUOUS
(UPat({Ops.ASSIGN, Ops.COPY, Ops.BUFFER_VIEW, Ops.CONTIGUOUS}, name="tr"), realize),
# realize parents of COPY, MSELECT, MSTACK
(UPat((Ops.COPY, Ops.MSELECT, Ops.MSTACK), name="rb"), realize_parents),
# realize input to assign (might be optimized out)
@@ -67,7 +67,7 @@ do_realize = PatternMatcher([
])
add_contiguous = PatternMatcher([
(UPat(GroupOp.All-{Ops.CONTIGUOUS}, name="x"), lambda ctx,x: x.replace(tag=1).contiguous() if x in ctx and x.tag is None else None),
(UPat(GroupOp.All, name="x"), lambda ctx,x: x.replace(tag=1).realize() if x in ctx and x.tag is None else None),
])
remove_tags = PatternMatcher([(UPat(GroupOp.All, name="x"), lambda x: x.replace(tag=None) if x.tag is not None else None)])
@@ -174,7 +174,15 @@ pm_mops = PatternMatcher([
(UPat(Ops.PAD, name="r").f(Ops.INDEX, allow_any_len=True, name="idx"), map_pad),
])
def map_partial_contiguous(ctx:RangeifyContext, x:UOp, idx:UOp):
# 3b. rangeify (ops)
@dataclass(frozen=True)
class BufferizeOpts:
# on AddrSpace.LOCAL, device is the id
device: str|tuple[str, ...]|int
addrspace: AddrSpace = AddrSpace.GLOBAL
def map_partial_realize(ctx:RangeifyContext, x:UOp, idx:UOp):
if x.arg is None: return None # map_contiguous can handle this
# NOTE: all partial contiguous can safely be replaced by full contiguous. we should be able to match old functionality like this
if not (RANGEIFY > 1): return idx.replace(src=(x.replace(arg=None),)+idx.src[1:])
@@ -188,15 +196,15 @@ def map_partial_contiguous(ctx:RangeifyContext, x:UOp, idx:UOp):
passthrough_idx.append(idx.src[1+i])
ranges.append(ctx.new_range(s) if resolve(s!=1) else UOp.const(dtypes.index, 0))
new_ranges.append(ranges[-1])
ret = x.src[0].index(*ranges).bufferize(*[x for x in new_ranges if x.op is not Ops.CONST], arg=x.device)
ret = x.src[0].index(*ranges).bufferize(*[x for x in new_ranges if x.op is not Ops.CONST], arg=BufferizeOpts(device=x.device))
return ret.index(*passthrough_idx)
def map_contiguous(ctx:RangeifyContext, x:UOp):
def map_realize(ctx:RangeifyContext, x:UOp):
if x.arg is not None: return None
ranges = []
for s in x.shape[len(x.src)-1:]:
ranges.append(ctx.new_range(s) if resolve(s!=1) else UOp.const(dtypes.index, 0))
ret = x.src[0].index(*ranges).bufferize(*x.src[1:], *[x for x in ranges if x.op is not Ops.CONST], arg=x.device)
ret = x.src[0].index(*ranges).bufferize(*x.src[1:], *[x for x in ranges if x.op is not Ops.CONST], arg=BufferizeOpts(device=x.device))
# was there a shrink? move this before the bufferize?
# TODO: do we need this?
if resolve(prod(x.shape) != prod(ret.shape)): ret = ret.forced_reshape((prod(ret.shape),)).shrink(((0, prod(x.shape)),))
@@ -242,7 +250,7 @@ def index_child(ctx:RangeifyContext, c:UOp, x:UOp, idx:UOp):
# index based on the shared ranges
ret = c.index(*out_rngs)
# if all ranges aren't the same between children, we have to bufferize
if len(idx_ranges) > 0: ret = ret.bufferize(*end_ranges, arg=x.device).index(*[idx.src[1+i] for i in idx_ranges])
if len(idx_ranges) > 0: ret = ret.bufferize(*end_ranges, arg=BufferizeOpts(device=x.device)).index(*[idx.src[1+i] for i in idx_ranges])
return ret
def children_gate(ctx:RangeifyContext, idx:UOp, c:UOp):
@@ -258,14 +266,14 @@ def might_end_axis(idx:UOp):
for i,a in enumerate(idx.src[1:]):
if any(x.arg > idx.arg for x in a.toposort() if x.op is Ops.RANGE):
to_end_axis.append(i)
if to_end_axis: return idx.replace(src=(idx.src[0].contiguous(arg=tuple(to_end_axis)),)+idx.src[1:], arg=None)
if to_end_axis: return idx.replace(src=(idx.src[0].realize(arg=tuple(to_end_axis)),)+idx.src[1:], arg=None)
return idx.replace(arg=None)
pm_rangeify = pm_mops+PatternMatcher([
# sink contigs to kick it off
(UPat(Ops.CONTIGUOUS, src=(UPat(),), name="x", allow_any_len=True), map_contiguous),
(UPat(Ops.REALIZE, src=(UPat(),), name="x", allow_any_len=True), map_realize),
# if there's an INDEX it can support partial contig
(UPat(Ops.INDEX, src=(UPat(Ops.CONTIGUOUS, src=(UPat(),), name="x"),), allow_any_len=True, name="idx"), map_partial_contiguous),
(UPat(Ops.INDEX, src=(UPat(Ops.REALIZE, src=(UPat(),), name="x"),), allow_any_len=True, name="idx"), map_partial_realize),
# if there are new ended children, tag the SINK
(UPat(Ops.INDEX, src=(UPat(Ops.CHILD, src=(UPat(name="c"), ), name="x"),), allow_any_len=True, name="idx"), index_child),
@@ -281,7 +289,8 @@ pm_rangeify = pm_mops+PatternMatcher([
(UPat(Ops.INDEX, src=(UPat(GroupOp.Elementwise.union({Ops.REDUCE_AXIS})),), allow_any_len=True, name="idx"), might_end_axis),
# move MAP through elementwise ALU / reduce. these are the items with cost
(UPat(Ops.INDEX, src=(UPat(GroupOp.Elementwise.union({Ops.STORE, Ops.ASSIGN, Ops.COPY, Ops.DEVICE, Ops.BIND})),), allow_any_len=True, name="x"),
(UPat(Ops.INDEX, src=(UPat(GroupOp.Elementwise.union(
{Ops.STORE, Ops.ASSIGN, Ops.COPY, Ops.DEVICE, Ops.BIND, Ops.CONTIGUOUS})),), allow_any_len=True, name="x"),
lambda x: x.src[0].replace(src=tuple([s.index(*x.src[1:]) for s in x.src[0].src]))),
(UPat(Ops.INDEX, src=(UPat(Ops.REDUCE_AXIS, name="red"),), allow_any_len=True, name="idx"), map_reduce),
])
@@ -349,17 +358,17 @@ def bufferize_to_store(x:UOp, locals_allowed=False):
shape = tuple([int(r.vmax+1) for r in rngs])
size = prod(shape)
assert size > 0, f"no zero sized buffers {shape}"
sdtype = x.dtype.ptr(size=size, addrspace=AddrSpace.GLOBAL if not isinstance(x.arg, tuple) else x.arg[0])
sdtype = x.dtype.ptr(size=size, addrspace=x.arg.addrspace)
if x.src[0].op is Ops.ASSIGN:
assign_target, assign_src = x.src[0].src
assert assign_target.op is Ops.INDEX
return assign_target.replace(dtype=sdtype).store(assign_src, *rngs, dtype=sdtype).forced_reshape(shape, dtype=x.dtype)
# NOTE: the DEFINE_LOCAL needs to be disambiguated here
if sdtype.addrspace == AddrSpace.GLOBAL:
buf = UOp.new_buffer(x.arg, size, x.dtype)
buf = UOp.new_buffer(x.arg.device, size, x.dtype)
else:
if not locals_allowed: return None
buf = UOp(Ops.DEFINE_LOCAL, sdtype, arg=x.arg[1])
buf = UOp(Ops.DEFINE_LOCAL, sdtype, arg=x.arg.device)
return buf.reshape(shape).index(*rngs, dtype=sdtype).store(x.src[0], *rngs, dtype=sdtype).forced_reshape(shape, dtype=x.dtype)
pm_add_buffers_local = pm_mops+PatternMatcher([
@@ -411,6 +420,10 @@ to_define_global = PatternMatcher([
])
rangeify_codegen = PatternMatcher([
# no CONTIGUOUS in the kernel graph
# TODO: this can be moved into codegen?
(UPat(Ops.CONTIGUOUS, name="x"), lambda x: x.src[0]),
# add loads to non ptr indexes
# TODO: this can be moved into codegen?
(UPat((Ops.DEFINE_GLOBAL, Ops.STORE), name="dg").f(Ops.INDEX, name="idx", allow_any_len=True),
@@ -444,7 +457,7 @@ def get_rangeify_map(sink:UOp) -> dict[UOp, UOp]:
tensor_map = graph_rewrite_map(sink, multi_pm+earliest_rewrites, name="earliest")
realize_map: dict[UOp, UOp] = {}
graph_rewrite(tensor_map[sink], do_realize, ctx=realize_map, name="Input Graph")
tensor_map = graph_rewrite_map(tensor_map[sink], add_contiguous, ctx=realize_map, bottom_up=True, input_map=tensor_map, name="add contiguous")
tensor_map = graph_rewrite_map(tensor_map[sink], add_contiguous, ctx=realize_map, bottom_up=True, input_map=tensor_map, name="add realize")
tensor_map = graph_rewrite_map(tensor_map[sink], remove_tags, input_map=tensor_map, name="remove tags")
tensor_map = graph_rewrite_map(tensor_map[sink], pm_children, ctx=ChildrenContext(), bottom_up=True, input_map=tensor_map, name="children")
tensor_map = graph_rewrite_map(tensor_map[sink], pm_rangeify, ctx=RangeifyContext(), bottom_up=True, input_map=tensor_map, name="rangeify")
+1
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@@ -22,6 +22,7 @@ class Ops(FastEnum):
# ops that adjust the behavior of the scheduler
CONTIGUOUS = auto(); CONTIGUOUS_BACKWARD = auto(); DETACH = auto(); FUSE = auto() # noqa: E702
REALIZE = auto()
# blocks in linearizer (only used there)
BLOCK = auto(); BLOCKSTART = auto(); BLOCKEND = auto(); BLOCKFINAL = auto() # noqa: E702
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@@ -321,6 +321,7 @@ class UOp(MathTrait, metaclass=UOpMetaClass):
return ret.reshape(tuple([x if i not in axis else 1 for i,x in enumerate(self.shape)]))
def reduce(self, *src:UOp, **kwargs): return UOp(Ops.REDUCE, kwargs.pop('dtype', self.dtype), src=(self,)+src, **kwargs)
def contiguous(self, *args, **kwargs): return UOp(Ops.CONTIGUOUS, dtype=self.dtype, src=(self,)+args, **kwargs)
def realize(self, *args, **kwargs): return UOp(Ops.REALIZE, dtype=self.dtype, src=(self,)+args, **kwargs)
def contiguous_backward(self): return self.alu(Ops.CONTIGUOUS_BACKWARD)
def bufferize(self, *args, **kwargs): return UOp(Ops.BUFFERIZE, dtype=self.dtype, src=(self,)+args, **kwargs)
def fuse(self): return self.alu(Ops.FUSE)
+1 -1
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@@ -19,7 +19,7 @@ uops_colors = {Ops.LOAD: "#ffc0c0", Ops.STORE: "#87CEEB", Ops.CONST: "#e0e0e0",
Ops.INDEX: "#e8ffa0", Ops.WMMA: "#efefc0", Ops.VIEW: "#C8F9D4", Ops.MULTI: "#f6ccff", Ops.KERNEL: "#3e7f55",
**{x:"#D8F9E4" for x in GroupOp.Movement}, **{x:"#ffffc0" for x in GroupOp.ALU}, Ops.THREEFRY:"#ffff80", Ops.BUFFER_VIEW: "#E5EAFF",
Ops.BLOCK: "#C4A484", Ops.BLOCKEND: "#C4A4A4", Ops.BUFFER: "#B0BDFF", Ops.COPY: "#a040a0", Ops.FUSE: "#FFa500",
Ops.ALLREDUCE: "#ff40a0", Ops.MSELECT: "#d040a0", Ops.MSTACK: "#d040a0", Ops.CONTIGUOUS: "#FFC14D",
Ops.ALLREDUCE: "#ff40a0", Ops.MSELECT: "#d040a0", Ops.MSTACK: "#d040a0", Ops.CONTIGUOUS: "#FFC14D", Ops.REALIZE: "#C1C14D",
Ops.CHILDREN: "#80ffc0", Ops.CHILD: "#80fff0", Ops.BUFFERIZE: "#FF991C", Ops.REWRITE_ERROR: "#ff2e2e"}
# VIZ API