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test that
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@chenyuxyz
chenyuxyz committed May 16, 2024
1 parent 818ac43 commit 7702102
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5 changes: 0 additions & 5 deletions test/test_linearizer_failures.py
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Expand Up @@ -236,10 +236,5 @@ def test_failure_31(self):
opts = [Opt(op=OptOps.UNROLL, axis=0, amt=0), Opt(op=OptOps.PADTO, axis=1, amt=32)]
helper_test_lin(Linearizer(ast), opts=opts, failed_platforms=[])

# from sharded llama https://github.com/tinygrad/tinygrad/issues/4612
def test_failure_32(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.MAX, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=0, mask=((0, 64128),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-64128, mask=((64128, 128256),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-128256, mask=((128256, 192384),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-192384, mask=((192384, 256512),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=5, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-256512, mask=((256512, 320640),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=6, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-320640, mask=((320640, 384768),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.4285714285714286, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 501, 256), strides=(0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(1,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 256), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))
helper_test_lin(Linearizer(ast), opts=[], failed_platforms=[])

if __name__ == '__main__':
unittest.main()
16 changes: 14 additions & 2 deletions test/test_search.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,12 +3,15 @@
from tinygrad.codegen.kernel import Opt, OptOps
from tinygrad.codegen.linearizer import Linearizer
from tinygrad.engine.schedule import create_schedule
from tinygrad.engine.search import time_linearizer, bufs_from_lin, actions
from tinygrad.engine.search import time_linearizer, bufs_from_lin, actions, beam_search
from tinygrad.device import Device, Buffer
from tinygrad.ops import LoadOps, BufferOps
from tinygrad.ops import LazyOp, LoadOps, BufferOps, ReduceOps, BinaryOps, MemBuffer, ConstBuffer
from tinygrad.tensor import Tensor
from tinygrad.dtype import dtypes
from tinygrad.helpers import Context
from tinygrad.engine.realize import capturing
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View

class TestTimeLinearizer(unittest.TestCase):
@unittest.skipIf(Device.DEFAULT in {"AMD", "NV"}, "Tries to open HSA/CUDA. #4607")
Expand Down Expand Up @@ -66,5 +69,14 @@ def test_get_linearizer_actions(self):
if Opt(OptOps.GROUPTOP, 0, 0) in actions:
assert len([x for x in lins if x.applied_opts[0] == Opt(OptOps.GROUPTOP, axis=0, amt=3)]) == 0, "did not de-dup GROUPTOP"

def test_filter_global_buffer(self):
# taken from https://github.com/tinygrad/tinygrad/issues/4612
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.MAX, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=0, mask=((0, 64128),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-64128, mask=((64128, 128256),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-128256, mask=((128256, 192384),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-192384, mask=((192384, 256512),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=5, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-256512, mask=((256512, 320640),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=6, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(384768,), strides=(1,), offset=-320640, mask=((320640, 384768),), contiguous=False), View(shape=(1, 501, 256), strides=(0, 1, 501), offset=256512, mask=None, contiguous=False)))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.4285714285714286, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 501, 256), strides=(0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(1,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 256), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))
lin = Linearizer(ast)

bufs = bufs_from_lin(lin)
best_lin = beam_search(lin, bufs, 3)
assert best_lin

if __name__ == '__main__':
unittest.main()

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