mirror of https://github.com/commaai/tinygrad.git
remove helper_add_store from test_linearizer_failures (#3860)
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6bf0b82267
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33dd99acf4
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@ -9,7 +9,7 @@ from tinygrad.helpers import CI
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from test.external.fuzz_linearizer import run_linearizer, get_fuzz_rawbufs, get_fuzz_rawbuf_like
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from test.helpers import is_dtype_supported
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from tinygrad.ops import LazyOp, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer, get_lazyop_info
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from tinygrad.ops import LazyOp, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer
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from tinygrad.shape.shapetracker import ShapeTracker
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from tinygrad.shape.view import View
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@ -29,6 +29,7 @@ def helper_test_lin(lin: Linearizer, opts, failed_platforms):
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except KernelOptError:
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# it's considered fixed if we invalidated the opts
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assert Device.DEFAULT not in failed_platforms
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return
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rawbufs[0] = get_fuzz_rawbuf_like(rawbufs[0], zero=True)
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linearizer_passed = (run_linearizer(lin, rawbufs, var_vals) == "PASS")
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@ -38,10 +39,6 @@ def helper_test_lin(lin: Linearizer, opts, failed_platforms):
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else:
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assert not linearizer_passed or not output_allclose, f"{linearizer_passed=}, {output_allclose=}"
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def helper_add_store(op):
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info = get_lazyop_info(op)
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return LazyOp(BufferOps.STORE, (op, ), MemBuffer(0, info.dtype, ShapeTracker.from_shape(info.shape)))
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@unittest.skipIf(CI and Device.DEFAULT=="CUDA", "failed on CUDA CI")
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class TestLinearizerFailures(unittest.TestCase):
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def setUp(self):
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@ -50,50 +47,43 @@ class TestLinearizerFailures(unittest.TestCase):
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Tensor.manual_seed(42)
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def test_failure_1(self):
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ast = LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 16), strides=(16, 1, 0), offset=0, mask=None, contiguous=False),)))),), arg=(2,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(0, 1, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(16, 1, 0), offset=0, mask=None, contiguous=True),))))), arg=None)
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ast = helper_add_store(ast)
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 16), strides=(16, 1, 0), offset=0, mask=None, contiguous=False),)))),), arg=(2,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(0, 1, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(16, 1, 0), offset=0, mask=None, contiguous=True),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(16, 1, 0), offset=0, mask=None, contiguous=True),))))
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helper_test_lin(Linearizer(ast), [], failed_platforms=[])
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def test_failure_2(self):
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ast = LazyOp(op=ReduceOps.MAX, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 2, 111, 27), strides=(6160, 3080, 28, 1), offset=0, mask=((0, 32), (0, 2), (0, 110), (0, 27)), contiguous=False), View(shape=(32, 2, 37, 9, 2, 2), strides=(5994, 2997, 81, 3, 27, 1), offset=0, mask=None, contiguous=False))))),), arg=(4, 5))
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.MAX, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 2, 111, 27), strides=(6160, 3080, 28, 1), offset=0, mask=((0, 32), (0, 2), (0, 110), (0, 27)), contiguous=False), View(shape=(32, 2, 37, 9, 2, 2), strides=(5994, 2997, 81, 3, 27, 1), offset=0, mask=None, contiguous=False))))),), arg=(4, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 2, 37, 9, 1, 1), strides=(666, 333, 9, 1, 0, 0), offset=0, mask=None, contiguous=True),))))
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opts = [Opt(op=OptOps.LOCAL, axis=0, amt=32)]
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ast = helper_add_store(ast)
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helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
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def test_failure_3(self):
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ast = LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 8, 16, 16), strides=(2048, 256, 16, 1), offset=0, mask=None, contiguous=True),)))),), arg=(3,))
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 8, 16, 16), strides=(2048, 256, 16, 1), offset=0, mask=None, contiguous=True),)))),), arg=(3,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 8, 16, 1), strides=(128, 16, 1, 0), offset=0, mask=None, contiguous=True),))))
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opts = [Opt(op=OptOps.GROUP, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=2), Opt(op=OptOps.UNROLL, axis=1, amt=0), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.UPCAST, axis=1, amt=0), Opt(op=OptOps.LOCAL, axis=0, amt=32)]
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# METAL: AssertionError: Error Domain=AGXMetalG13X Code=3 "Threadgroup memory size (65536) exceeds the maximum threadgroup memory allowed (32768)" UserInfo={NSLocalizedDescription=Threadgroup memory size (65536) exceeds the maximum threadgroup memory allowed (32768)}
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ast = helper_add_store(ast)
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helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
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def test_failure_5(self):
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ast = LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.1464405059814453, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.1464405059814453, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=(0, 2, 4, 6))
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.1464405059814453, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.1464405059814453, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=(0, 2, 4, 6)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1, 1, 1, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
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opts = [Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=0)]
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# EXEC_ERROR, it has no global_size
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ast = helper_add_store(ast)
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helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
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def test_failure_6(self):
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ast = LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=-1, dtype=dtypes.int32, st=ShapeTracker(views=(View(shape=(11, 19), strides=(0, 0), offset=0, mask=((0, 11), (9, 19)), contiguous=False), View(shape=(10, 10), strides=(1, 20), offset=0, mask=None, contiguous=False))))),), arg=(1,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=10.0, dtype=dtypes.int32, st=ShapeTracker(views=(View(shape=(10, 1), strides=(0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=-1, dtype=dtypes.int, st=ShapeTracker(views=(View(shape=(11, 19), strides=(0, 0), offset=0, mask=((0, 11), (9, 19)), contiguous=False), View(shape=(10, 10), strides=(1, 20), offset=0, mask=None, contiguous=False))))),), arg=(1,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=10.0, dtype=dtypes.int, st=ShapeTracker(views=(View(shape=(10, 1), strides=(0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.int, st=ShapeTracker(views=(View(shape=(10, 1), strides=(1, 0), offset=0, mask=None, contiguous=True),))))
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opts = [Opt(op=OptOps.UPCAST, axis=0, amt=2), Opt(op=OptOps.UPCAST, axis=0, amt=0)]
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# COMPILE FAILED, KeyError: UOps.CONST
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ast = helper_add_store(ast)
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helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
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def test_failure_7(self):
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ast = LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 32, 6, 8, 4, 6, 8, 4), strides=(2048, 64, 6291456, 8, 0, 1048576, 1, 0), offset=0, mask=((0, 512), (0, 32), (0, 6), (0, 8), (0, 1), (0, 6), (0, 8), (0, 1)), contiguous=False), View(shape=(512, 32, 6, 35, 6, 35), strides=(1179648, 36864, 6144, 192, 32, 1), offset=0, mask=((0, 512), (0, 32), (0, 6), (0, 32), (0, 6), (0, 32)), contiguous=False), View(shape=(512, 32, 238, 238), strides=(1411200, 44100, 210, 1), offset=0, mask=((0, 512), (0, 32), (0, 210), (0, 210)), contiguous=False), View(shape=(512, 32, 7, 34, 7, 34), strides=(1812608, 56644, 8092, 238, 34, 1), offset=0, mask=None, contiguous=True))))),), arg=(2, 4))
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 32, 6, 8, 4, 6, 8, 4), strides=(2048, 64, 6291456, 8, 0, 1048576, 1, 0), offset=0, mask=((0, 512), (0, 32), (0, 6), (0, 8), (0, 1), (0, 6), (0, 8), (0, 1)), contiguous=False), View(shape=(512, 32, 6, 35, 6, 35), strides=(1179648, 36864, 6144, 192, 32, 1), offset=0, mask=((0, 512), (0, 32), (0, 6), (0, 32), (0, 6), (0, 32)), contiguous=False), View(shape=(512, 32, 238, 238), strides=(1411200, 44100, 210, 1), offset=0, mask=((0, 512), (0, 32), (0, 210), (0, 210)), contiguous=False), View(shape=(512, 32, 7, 34, 7, 34), strides=(1812608, 56644, 8092, 238, 34, 1), offset=0, mask=None, contiguous=True))))),), arg=(2, 4)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 32, 1, 34, 1, 34), strides=(36992, 1156, 0, 34, 0, 1), offset=0, mask=None, contiguous=True),))))
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opts = [Opt(op=OptOps.UPCAST, axis=0, amt=4)]
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# test/test_linearizer_failures.py Fatal Python error: Segmentation fault
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ast = helper_add_store(ast)
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helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
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def test_failure_8(self):
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ast = LazyOp(op=UnaryOps.SQRT, src=(LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))), arg=None), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))), arg=None)), arg=None),), arg=(2,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.000244140625, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1e-06, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))), arg=None)), arg=None),), arg=None)
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ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=UnaryOps.SQRT, src=(LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))), arg=None), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))), arg=None)), arg=None),), arg=(2,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.000244140625, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1e-06, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))), arg=None)), arg=None),), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))
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opts = [Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=4)]
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# fatal error: bracket nesting level exceeded maximum of 256
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# note: use -fbracket-depth=N to increase maximum nesting level
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ast = helper_add_store(ast)
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helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
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def test_failure_9(self):
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