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tests from new lazy branch (#2774)

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* tests from new lazy branch

* fix lin 11

* that was needed

* doesn't fail

* mark

* meant that

* llvm passes
This commit is contained in:
George Hotz
2023-12-14 23:06:39 -08:00
committed by GitHub
parent a044125c39
commit c6eb618013
8 changed files with 64 additions and 20 deletions
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30
test/test_schedule.py
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@@ -25,7 +25,7 @@ def check_schedule(t:Tensor, allowed:int, to_prerealize:Optional[List[Tensor]]=N
if len(sched) != allowed: print(f"SCHEDULE ISSUE, expecting {allowed} got {len(sched)}")
if len(sched) != allowed or DEBUG >= 3:
for i, s in enumerate(sched):
print("op", i)
print("kernel", i+1)
print_tree(s.ast)
assert len(sched) == allowed
# test the (non loadops) ops linearize
@@ -260,6 +260,22 @@ class TestSchedule(unittest.TestCase):
check_schedule(c, 1)
check_schedule(e, 1)
def test_shrink_fuse(self):
a = Tensor.empty(8192, 16)
b = Tensor.empty(8192, 16)
c = a * b
d = Tensor.empty(1, 16)
e = c[0] * d
check_schedule(e, 1)
def test_expand_nofuse(self):
a = Tensor.empty(1, 16)
b = Tensor.empty(1, 16)
c = a * b
d = Tensor.empty(8192, 16)
e = c * d
check_schedule(e, 2)
# this is the failing case in openpilot...it's very simple like this
@unittest.skip("failing in old lazy")
def test_image_conv_fusion(self):
@@ -304,12 +320,18 @@ class TestSchedule(unittest.TestCase):
check_schedule(x, 3)
def test_resnet_block(self):
from extra.models.resnet import BasicBlock
Tensor.training = False
bb = BasicBlock(64,64)
in_planes, planes = 64, 64
conv1 = nn.Conv2d(in_planes, planes, kernel_size=3, stride=1, padding=1, bias=False)
bn1 = nn.BatchNorm2d(planes)
conv2 = nn.Conv2d(planes, planes, kernel_size=3, padding=1, stride=1, bias=False)
bn2 = nn.BatchNorm2d(planes)
x = Tensor.empty(1, 64, 32, 32)
out = bb(x)
out = bn1(conv1(x)).relu()
out = bn2(conv2(out))
out = (out + x).relu()
check_schedule(out, 4)
def test_contiguous_while_contiguous(self):