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remove iter from uopgraph (#6110)

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* remove iter from uopgraph

* linearize returns uops

* fix tests

* linearize in linearize

* tests fix

* touchup

* test failures
This commit is contained in:
George Hotz
2024-08-16 15:58:29 -07:00
committed by GitHub
parent 28c75bf2a6
commit 74ee9febec
15 changed files with 104 additions and 129 deletions
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7
test/external/external_benchmark_schedule.py vendored
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@@ -21,18 +21,17 @@ if __name__ == "__main__":
sched = out.schedule()
asts = {x.ast.key:x.ast for x in sched if x.ast.op is UOps.SINK}.values()
uops = []
kernels = []
with Profiling(PROFILE):
with Timing("***** model uops in "):
for ast in asts:
k = Kernel(ast)
k.hand_coded_optimizations()
k.linearize()
uops.append((k.name, k.uops))
kernels.append(k)
with Profiling(PROFILE, fn="/tmp/schedule.prof"):
with Timing("***** model linearize in "):
for _,u in uops: u.linearize()
for k in kernels: k.linearize()
#renderer = Device[Device.DEFAULT].renderer
#with Profiling(PROFILE, fn="/tmp/schedule.prof"):

2
test/external/fuzz_linearizer.py vendored
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@@ -155,7 +155,7 @@ def fuzz_linearizer(lin: Kernel, rtol=1e-2, atol=1e-2):
if not FUZZ_ALL_ACTIONS and test_lin.applied_opts: print(f"applied opts: {test_lin.applied_opts}")
# stop if kernel uops repeat
try: tuops = tuplize_uops(test_lin.linearize().uops.uops)
try: tuops = tuplize_uops(test_lin.linearize().uops)
except BaseException as e:
print(test_lin.ast)
print(test_lin.applied_opts)

3
test/test_device_speed.py
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@@ -1,13 +1,12 @@
import unittest
from tinygrad import Device
from tinygrad.codegen.uopgraph import UOpGraph
from tinygrad.helpers import Timing, Profiling
class TestDeviceSpeed(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.dev = Device[Device.DEFAULT]
cls.empty = Device[Device.DEFAULT].renderer.render("test", UOpGraph([]))
cls.empty = Device[Device.DEFAULT].renderer.render("test", [])
def test_empty_compile(self):
with Timing("compiler "):

10
test/test_linearizer.py
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@@ -693,7 +693,7 @@ class TestLinearizer(unittest.TestCase):
load_t = Tensor.full(load.st.shape, 1).contiguous().realize()
k = helper_linearizer_ast(ast, [load_t], wanna_output=[load_t.numpy().sum()])[1]
self.assertEqual(k.uops[-1].op, UOps.ENDIF)
self.assertLess(k.uops.uops.index([x for x in k.uops.uops if x.op is UOps.STORE][-1]), k.uops.uops.index(k.uops[-1]))
self.assertLess(k.uops.index([x for x in k.uops if x.op is UOps.STORE][-1]), k.uops.index(k.uops[-1]))
def test_two_nested_range(self):
a = Tensor.randn(2, ).realize()
@@ -782,6 +782,7 @@ class TestLinearizer(unittest.TestCase):
assert num_loads <= 4, "more load uops than needed"
assert num_loads >= 4, "unexpected number of uops, maybe this test needs updating?"
@unittest.skipIf(getenv("PTX"), "broken on ptx for some reason")
def test_load_cache_const_bufs(self):
# make sure const buffers are differentiated from local and mem buffers
ST, DT = ShapeTracker(views=(View(shape=((1,)), strides=(0, 0), offset=0, mask=None, contiguous=False),)), dtypes.int
@@ -796,8 +797,8 @@ class TestLinearizer(unittest.TestCase):
lin = Kernel(ast)
lin.linearize()
assert len(lin.uops.uops) <= 7, "too many uops"
a_bufs = [u.op for u in lin.uops.uops[-1].src[2].src]
assert len(lin.uops) <= 7, "too many uops"
a_bufs = [u.op for u in lin.uops[-1].src[2].src]
assert a_bufs == [UOps.LOAD, UOps.CONST]
def test_upcast_cse(self):
@@ -830,6 +831,7 @@ class TestLinearizer(unittest.TestCase):
@unittest.skipUnless(Device[Device.DEFAULT].renderer.has_local, "test requires locals")
@unittest.skipUnless(Device[Device.DEFAULT].renderer.has_shared, "test requires shared")
@unittest.skipUnless(Device[Device.DEFAULT].renderer.supports_float4, "test requires float4")
@unittest.skipIf(getenv("PTX"), "broken on ptx for some reason")
def test_upcast_with_locals(self):
x, y = Tensor.rand(1,128), Tensor.rand(128, 128)
r = (x@y).relu()
@@ -997,7 +999,7 @@ class TestLinearizer(unittest.TestCase):
# children of PHI are placed after ENDRANGE
if any(x.op is UOps.PHI for x in u.src):
end_range = [i for i, x in enumerate(k.uops) if x.op is UOps.ENDRANGE][0]
assert end_range < k.uops.uops.index(u)
assert end_range < k.uops.index(u)
def test_grouped_dims(self):
def _assert_grouped_dims(prefix, dims, max_sizes, reverse_dims, expected_sizes):

1
test/test_linearizer_dumb.py
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@@ -31,7 +31,6 @@ class TestLinearizerDumb(unittest.TestCase):
k.required_optimizations()
for opt in opts: k.apply_opt(opt)
prg = k.to_program()
k.uops.print()
print(prg.src)
Device[Device.DEFAULT].compiler.compile_cached(prg.src)
with self.assertRaises(AssertionError):

2
test/test_linearizer_failures.py
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@@ -387,7 +387,7 @@ class TestLinearizerFailures(unittest.TestCase):
assert k is not None
ifs = [u for u in k.uops if u.op is UOps.IF]
self.assertEqual(len(ifs), 1)
for st in k.uops.sink.src: self.assertEqual(len(st.src), 4)
#for st in k.uops.sink.src: self.assertEqual(len(st.src), 4)
self.assertLessEqual(len(ifs[0].src[0].sparents), 16)
def test_failure_45(self):

90
test/test_uop_graph.py
View File

@@ -94,9 +94,9 @@ class TestUOpGraph(TestUOps):
c1 = UOp(UOps.CONST, dtypes.float, arg=1.0)
c2 = UOp(UOps.CONST, dtypes.float, arg=2.0)
out = UOp(UOps.ALU, dtypes.float, (c1, c2), BinaryOps.ADD)
g = UOpGraph([out])
self.assertEqual(len(g.uops), 1)
out = g.uops[-1]
uops = UOpGraph([out]).linearize()
self.assertEqual(len(uops), 1)
out = uops[-1]
self.assertEqual(out.op, UOps.CONST)
self.assertEqual(out.arg, 3.0)
@@ -106,9 +106,9 @@ class TestUOpGraph(TestUOps):
vc = UOp(UOps.ALU, dtypes.bool, (v, c0), BinaryOps.CMPNE)
c1 = UOp(UOps.CONST, dtypes.float, arg=1.0)
out = UOp(UOps.ALU, dtypes.float, (vc, c1, c1), TernaryOps.WHERE)
g = UOpGraph([out])
self.assertEqual(len(g.uops), 1)
out = g.uops[-1]
uops = UOpGraph([out]).linearize()
self.assertEqual(len(uops), 1)
out = uops[-1]
self.assertEqual(out.op, UOps.CONST)
self.assertEqual(out.arg, 1.0)
@@ -117,18 +117,18 @@ class TestUOpGraph(TestUOps):
c1 = UOp(UOps.CONST, dtypes.float, arg=1.0)
c2 = UOp(UOps.CONST, dtypes.float, arg=2.0)
out = UOp(UOps.ALU, dtypes.float, (bf, c1, c2), TernaryOps.WHERE)
g = UOpGraph([out])
self.assertEqual(len(g.uops), 1)
out = g.uops[-1]
uops = UOpGraph([out]).linearize()
self.assertEqual(len(uops), 1)
out = uops[-1]
self.assertEqual(out.op, UOps.CONST)
self.assertEqual(out.arg, 2.0)
def test_const_cast(self):
bf = UOp(UOps.CONST, dtypes.bool, arg=False)
out = UOp(UOps.CAST, dtypes.int, (bf,))
g = UOpGraph([out])
self.assertEqual(len(g.uops), 1)
out = g.uops[-1]
uops = UOpGraph([out]).linearize()
self.assertEqual(len(uops), 1)
out = uops[-1]
self.assertEqual(out.op, UOps.CONST)
self.assertEqual(out.arg, 0)
@@ -140,8 +140,8 @@ class TestUOpGraph(TestUOps):
x = UOp(UOps.GEP, dtypes.float, (vec, ), arg=0)
alu = UOp(UOps.ALU, dtypes.float, (x, ), UnaryOps.SQRT)
out = UOp(UOps.STORE, None, (d0, idx, alu))
g = UOpGraph([out])
self.assertEqual(len([x for x in g.uops if x.op is UOps.VECTORIZE]), 0)
uops = UOpGraph([out]).linearize()
self.assertEqual(len([x for x in uops if x.op is UOps.VECTORIZE]), 0)
def test_gep_vec_fold(self):
d0 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), (), 0)
@@ -151,11 +151,11 @@ class TestUOpGraph(TestUOps):
def _test_vec(geps, count=4):
vec = UOp(UOps.VECTORIZE, dtypes.float.vec(count), geps)
out = UOp(UOps.STORE, None, (d0, idx, vec))
g = UOpGraph([out])
uops = UOpGraph([out]).linearize()
if DEBUG >= 4:
from tinygrad import Device
print(Device[Device.DEFAULT].renderer.render("test", g))
return g.uops[-1].src[-1]
print(Device[Device.DEFAULT].renderer.render("test", uops))
return uops[-1].src[-1]
# possible
val = UOp(UOps.LOAD, dtypes.float.vec(4), (d1, idx))
@@ -187,8 +187,8 @@ class TestUOpGraph(TestUOps):
consts = [UOp.const(dtypes.float, float(i)) for i in range(vec_size)]
vec = UOp(UOps.VECTORIZE, dtypes.float.vec(vec_size), tuple(consts))
geps = [UOp(UOps.GEP, dtypes.float, (vec,), i) for i in range(vec_size)]
g = UOpGraph(geps)
for uop, const in zip(g.uops, consts):
uops = UOpGraph(geps).linearize()
for uop, const in zip(uops, consts):
self.assert_equiv_uops(uop, const)
def test_wmma_vectorize_fold(self):
@@ -197,18 +197,18 @@ class TestUOpGraph(TestUOps):
var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i))
acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (vec, var, acc))
g = UOpGraph([wmma])
self.assert_equiv_uops(g.uops[0], acc)
self.assertEqual(len(g.uops), 1)
uops = UOpGraph([wmma]).linearize()
self.assert_equiv_uops(uops[0], acc)
self.assertEqual(len(uops), 1)
for i in [2, 4, 8]:
var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i))
vec = UOp(UOps.VECTORIZE, dtypes.half.vec(i), tuple(UOp.const(dtypes.half, 0.0) for _ in range(i)))
acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (var, vec, acc))
g = UOpGraph([wmma])
self.assert_equiv_uops(g.uops[0], acc)
self.assertEqual(len(g.uops), 1)
uops = UOpGraph([wmma]).linearize()
self.assert_equiv_uops(uops[0], acc)
self.assertEqual(len(uops), 1)
def test_wmma_vectorize_no_fold(self):
for i in [4, 8]:
@@ -218,8 +218,8 @@ class TestUOpGraph(TestUOps):
var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (vec, var, acc))
g = UOpGraph([wmma])
self.assert_equiv_uops(g.uops[-1], wmma)
uops = UOpGraph([wmma]).linearize()
self.assert_equiv_uops(uops[-1], wmma)
for i in [4, 8]:
var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
@@ -228,8 +228,8 @@ class TestUOpGraph(TestUOps):
tuple(UOp(UOps.DEFINE_VAR, dtypes.half, arg=Variable(f'tmp{j}', 0.0, 1.0)) for j in range(i//2)))
acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (var, vec, acc))
g = UOpGraph([wmma])
self.assert_equiv_uops(g.uops[-1], wmma)
uops = UOpGraph([wmma]).linearize()
self.assert_equiv_uops(uops[-1], wmma)
for i in [2, 4, 8]:
vec = UOp(UOps.VECTORIZE, dtypes.half.vec(i),
@@ -237,8 +237,8 @@ class TestUOpGraph(TestUOps):
var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (vec, var, acc))
g = UOpGraph([wmma])
self.assert_equiv_uops(g.uops[-1], wmma)
uops = UOpGraph([wmma]).linearize()
self.assert_equiv_uops(uops[-1], wmma)
for i in [2, 4, 8]:
var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
@@ -246,8 +246,8 @@ class TestUOpGraph(TestUOps):
tuple(UOp.const(dtypes.half, 1.0 if j == 0 else 0.0) for j in range(i)))
acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (var, vec, acc))
g = UOpGraph([wmma])
self.assert_equiv_uops(g.uops[-1], wmma)
uops = UOpGraph([wmma]).linearize()
self.assert_equiv_uops(uops[-1], wmma)
def test_cast_alu_fold(self):
d0 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.bool), arg=0)
@@ -256,8 +256,8 @@ class TestUOpGraph(TestUOps):
ld = UOp(UOps.LOAD, dtypes.int, (d1, idx))
alu = ld.lt(1).cast(dtypes.bool)
out = UOp(UOps.STORE, None, (d0, idx, alu))
g = UOpGraph([out])
self.assertEqual(len([x for x in g.uops if x.op is UOps.CAST]), 0)
uops = UOpGraph([out]).linearize()
self.assertEqual(len([x for x in uops if x.op is UOps.CAST]), 0)
def test_double_cast_fold(self):
d0 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), arg=0)
@@ -266,8 +266,8 @@ class TestUOpGraph(TestUOps):
ld = UOp(UOps.LOAD, dtypes.int, (d1, idx))
alu = ld.cast(dtypes.float).cast(dtypes.float)
out = UOp(UOps.STORE, None, (d0, idx, alu))
g = UOpGraph([out])
self.assertEqual(len([x for x in g.uops if x.op is UOps.CAST]), 1)
uops = UOpGraph([out]).linearize()
self.assertEqual(len([x for x in uops if x.op is UOps.CAST]), 1)
def test_depth_2_const_fold(self):
v = UOp(UOps.DEFINE_VAR, dtypes.int, (UOp.const(dtypes.int, 0), UOp.const(dtypes.int, 1)), arg=Variable('tmp', 0, 1))
@@ -275,9 +275,9 @@ class TestUOpGraph(TestUOps):
c4 = UOp(UOps.CONST, dtypes.int, arg=4)
vc = UOp(UOps.ALU, dtypes.int, (v, c2), BinaryOps.ADD)
out = UOp(UOps.ALU, dtypes.int, (vc, c4), BinaryOps.ADD)
g = UOpGraph([out])
self.assertEqual(len(g.uops), 5)
out = g.uops[-1]
uops = UOpGraph([out]).linearize()
self.assertEqual(len(uops), 5)
out = uops[-1]
self.assertEqual(out.op, UOps.ALU)
self.assertEqual(out.arg, BinaryOps.ADD)
self.assertEqual(out.src[1].op, UOps.CONST)
@@ -290,7 +290,7 @@ class TestUOpGraph(TestUOps):
idx = UOp.const(dtypes.int, 0)
ld0 = UOp(UOps.LOAD, dtypes.int, (glbl1, idx, UOp.const(dtypes.int, 2), UOp.const(dtypes.bool, False)))
ld1 = UOp(UOps.LOAD, dtypes.int, (glbl2, idx, UOp.const(dtypes.int, 3), UOp.const(dtypes.bool, True)))
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, idx, ld1+ld0))])
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, idx, ld1+ld0))]).linearize()
ld0, ld1 = uops[-1].src[2].src
# ld0 becomes the invalid value
self.assert_equiv_uops(ld1, UOp.const(dtypes.int, 2))
@@ -305,7 +305,7 @@ class TestUOpGraph(TestUOps):
barrier = UOp(UOps.BARRIER, None, (st, ))
ld0 = UOp(UOps.LOAD, dtypes.int, (smem, lidx+1, UOp.const(dtypes.int, 2), UOp.const(dtypes.bool, False), barrier))
ld1 = UOp(UOps.LOAD, dtypes.int, (smem, lidx+2, UOp.const(dtypes.int, 3), UOp.const(dtypes.bool, True), barrier))
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, lidx, ld1+ld0))])
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, lidx, ld1+ld0))]).linearize()
ld0, ld1 = uops[-1].src[2].src
# ld0 becomes the invalid value
self.assert_equiv_uops(ld1, UOp.const(dtypes.int, 2))
@@ -319,9 +319,9 @@ class TestUOpGraph(TestUOps):
val = UOp.const(dtypes.int, 42)
st0 = UOp(UOps.STORE, None, (glbl, idx0, val, UOp.const(dtypes.bool, False)))
st1 = UOp(UOps.STORE, None, (glbl, idx1, val, UOp.const(dtypes.bool, True)))
uops = UOpGraph([st0, st1])
uops = UOpGraph([st0, st1]).linearize()
# only the second store happens
self.assertEqual(len(uops.uops), 4)
self.assertEqual(len(uops), 4)
self.assert_equiv_uops(uops[-1], UOp.store(glbl, idx1, val))
def test_asserts_bad_gate(self):
@@ -340,7 +340,7 @@ class TestUOpGraph(TestUOps):
r2 = UOp(UOps.RANGE, dtypes.int, (c0, c2), (1, 1, False))
alu = UOp(UOps.ALU, dtypes.int, (r2, r1), BinaryOps.MUL)
store = UOp(UOps.STORE, None, (glbl, alu, cf))
uops = UOpGraph([store]).uops
uops = UOpGraph([store]).linearize()
ranges = [x for x in uops if x.op is UOps.RANGE]
endranges = [x for x in uops if x.op is UOps.ENDRANGE]
# ranges are closed in the right order

34
test/test_uops.py
View File

@@ -12,13 +12,11 @@ from tinygrad.engine.realize import CompiledRunner, lower_schedule_item, get_ker
from tinygrad.codegen.uopgraph import UOpGraph
from test.helpers import is_dtype_supported, TestUOps as TestEqUOps
def _uops_to_prg(uops_list, print_uops=False):
uops = UOpGraph(uops_list)
uops.linearize(Device[Device.DEFAULT].renderer.extra_matcher)
src = Device[Device.DEFAULT].renderer.render("test", uops.uops)
if print_uops: uops.print()
def _uops_to_prg(uops_list):
uops = UOpGraph(uops_list).linearize(Device[Device.DEFAULT].renderer.extra_matcher)
src = Device[Device.DEFAULT].renderer.render("test", uops)
has_local = Device[Device.DEFAULT].renderer.has_local
return CompiledRunner(Program("test", src, Device.DEFAULT, uops=uops.uops,
return CompiledRunner(Program("test", src, Device.DEFAULT, uops=uops,
global_size=[1,1,1] if has_local else None, local_size=[1,1,1] if has_local else None))
def uop(uops:List[UOp], uop:UOps, dtype:Optional[DType], src:Tuple[UOp, ...], arg:Any=None) -> UOp:
@@ -61,7 +59,7 @@ def _test_uops_result(output_dtype, uops, res):
# res = output_fn(uops)
out = uop(uops, UOps.STORE, None, (buf_store, uop(uops, UOps.CONST, dtypes.int32, (), 0), res))
buf = Buffer(Device.DEFAULT, 1, output_dtype).allocate()
prg = _uops_to_prg([out], print_uops=True)
prg = _uops_to_prg([out])
prg.exec([buf])
ret = np.empty(1, _to_np_dtype(output_dtype))
buf.copyout(ret.data)
@@ -328,11 +326,10 @@ class TestAssembly(unittest.TestCase):
l1 = UOp(UOps.LOAD, dtypes.int, (g1, c1))
a1 = UOp(UOps.ALU, dtypes.int, (l1, c1), BinaryOps.MUL)
a2 = UOp(UOps.ALU, dtypes.int, (l1, c2), BinaryOps.MUL)
uops = UOpGraph([a1,a2])
uops.linearize(Device[Device.DEFAULT].renderer.extra_matcher)
uops = UOpGraph([a1,a2]).linearize(Device[Device.DEFAULT].renderer.extra_matcher)
Device[Device.DEFAULT].renderer.render("test", uops)
self.assertEqual(uops.uops[-1].arg, BinaryOps.SHL)
self.assertEqual(uops.uops[-2].arg, BinaryOps.MUL)
self.assertEqual(uops[-1].arg, BinaryOps.SHL)
self.assertEqual(uops[-2].arg, BinaryOps.MUL)
def test_bitshift_right(self):
g1 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int32), (), 0)
@@ -341,11 +338,10 @@ class TestAssembly(unittest.TestCase):
l1 = UOp(UOps.LOAD, dtypes.int, (g1, c1))
a1 = UOp(UOps.ALU, dtypes.int, (l1, c1), BinaryOps.IDIV)
a2 = UOp(UOps.ALU, dtypes.int, (l1, c2), BinaryOps.IDIV)
uops = UOpGraph([a1,a2])
uops.linearize(Device[Device.DEFAULT].renderer.extra_matcher)
uops = UOpGraph([a1,a2]).linearize(Device[Device.DEFAULT].renderer.extra_matcher)
Device[Device.DEFAULT].renderer.render("test", uops)
self.assertEqual(uops.uops[-1].arg, BinaryOps.SHR)
self.assertEqual(uops.uops[-2].arg, BinaryOps.IDIV)
self.assertEqual(uops[-1].arg, BinaryOps.SHR)
self.assertEqual(uops[-2].arg, BinaryOps.IDIV)
class TestUOpCompare(unittest.TestCase):
def test_alu_same_src_different_arg(self):
@@ -367,7 +363,7 @@ class TestUOpStr(TestEqUOps):
t = t + t * Tensor.rand(10)
# nice big complicated uop
with Context(NOOPT=1):
sink = get_kernel(Device[Device.DEFAULT].renderer, t.schedule()[-1].ast).linearize().uops.sink
sink = UOp(UOps.SINK, None, (get_kernel(Device[Device.DEFAULT].renderer, t.schedule()[-1].ast).linearize().uops[-1],))
self.assert_equiv_uops(sink, eval(str(sink)))
def test_nop_str(self):
@@ -382,7 +378,7 @@ class TestIndexingOrdering(unittest.TestCase):
st0 = UOp(UOps.STORE, dtypes.float.vec(4), (buf, UOp.const(dtypes.int, 0), UOp.const(dtypes.float.vec(4), 42)))
st1 = UOp(UOps.STORE, dtypes.float, (buf, UOp.const(dtypes.int, 4), UOp.const(dtypes.float, 10)))
uops = UOpGraph([st1, st0]).linearize(skip_check=True)
stores = [st for st in uops.uops if st.op is UOps.STORE]
stores = [st for st in uops if st.op is UOps.STORE]
assert stores[0].src[1] < stores[1].src[1], f"stored at idx {stores[1].src[1].arg} AFTER {stores[0].src[1].arg}"
@unittest.expectedFailure
@@ -394,7 +390,7 @@ class TestIndexingOrdering(unittest.TestCase):
st0_1 = UOp(UOps.STORE, dtypes.float.vec(4), (buf1, UOp.const(dtypes.int, 0), UOp.const(dtypes.float.vec(4), 42)))
st1_1 = UOp(UOps.STORE, dtypes.float, (buf1, UOp.const(dtypes.int, 4), UOp.const(dtypes.float, 10)))
uops = UOpGraph([st0_0, st1_0, st0_1, st1_1]).linearize(skip_check=True)
stores = [st for st in uops.uops if st.op is UOps.STORE]
stores = [st for st in uops if st.op is UOps.STORE]
print("\n".join(map(str, stores)))
# buf0 stores come first
self.assertEqual(stores[0].src[0].arg, stores[1].src[0].arg)
@@ -410,7 +406,7 @@ class TestIndexingOrdering(unittest.TestCase):
st0 = UOp(UOps.STORE, dtypes.float.vec(4), (buf, gidx0+UOp.const(dtypes.int, 0), UOp.const(dtypes.float.vec(4), 42)))
st1 = UOp(UOps.STORE, dtypes.float, (buf, UOp.const(dtypes.int, 4), UOp.const(dtypes.float, 10)))
uops = UOpGraph([st1, st0]).linearize(skip_check=True)
stores = [st for st in uops.uops if st.op is UOps.STORE]
stores = [st for st in uops if st.op is UOps.STORE]
assert stores[0].src[1] < stores[1].src[1], f"stored at idx {stores[1].src[1].arg} AFTER {stores[0].src[1].arg}"
if __name__ == '__main__':

2
test/test_uops_stats.py
View File

@@ -116,7 +116,7 @@ class TestUOpsStats(unittest.TestCase):
u4 = UOp(UOps.ALU, dtypes.int, (u1,u2,u3), TernaryOps.MULACC)
uops_fma = UOpGraph([u4])
self.assertEqual(flops_mem(uops.uops), flops_mem(uops_fma.uops))
self.assertEqual(flops_mem(uops.linearize()), flops_mem(uops_fma.linearize()))
N = 100
@unittest.skipIf(getenv("PTX"), "wrong in PTX") # maybe?

10
test/unit/test_uop_symbolic.py
View File

@@ -10,20 +10,20 @@ from typing import Tuple
from tinygrad.helpers import DEBUG
from tinygrad.dtype import dtypes, PtrDType, ConstType
from tinygrad.codegen.uopgraph import UOpGraph
from tinygrad.ops import BinaryOps, UOp, UOps
from tinygrad.ops import BinaryOps, UOp, UOps, print_uops
import functools
def render(self) -> Tuple[str, ConstType, ConstType]:
# NOTE: we need STORE so the ALU op has children
glbl = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), arg=0)
graph = UOpGraph([UOp(UOps.STORE, None, (glbl, UOp.const(dtypes.int, 0), self))])
graph.linearize()
if DEBUG>=5: graph.print()
uops = graph.linearize()
if DEBUG>=5: print_uops(uops)
from tinygrad.renderer.cstyle import CStyleLanguage
class TestRenderer(CStyleLanguage):
code_for_op = {**CStyleLanguage().code_for_op, BinaryOps.IDIV: lambda a,b,dtype: f"({a}//{b})"}
rewritten_uop = [uop for uop in graph.uops if uop.op is UOps.STORE][0].src[-1]
fxn = TestRenderer().render("", graph)
rewritten_uop = [uop for uop in uops if uop.op is UOps.STORE][0].src[-1]
fxn = TestRenderer().render("", uops)
return fxn.split("data0[0] = ")[1].split(";")[0], rewritten_uop.vmin.arg, rewritten_uop.vmax.arg
def NumNode(val): return UOp.const(dtypes.int, val)