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32 lines
2.0 KiB
Python
32 lines
2.0 KiB
Python
# ruff: noqa: E501
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# tests where the Linearizer is doing something dumb
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# like test_linearizer_failures, but they don't have to fail
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import unittest
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from tinygrad import Device, dtypes
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from tinygrad.uop.ops import UOp, Ops, AxisType, KernelInfo
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from tinygrad.codegen.opt.search import Opt, OptOps
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from tinygrad.codegen import to_program
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class TestLinearizerFailure(unittest.TestCase):
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@unittest.skipUnless(Device.DEFAULT == "METAL", "only tested on METAL")
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def test_failure_beam_mnist(self):
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c0 = UOp.param(0, dtypes.uchar.ptr(4014080))
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c1 = UOp.range(UOp.const(dtypes.weakint, 512), 0, AxisType.GLOBAL)
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c2 = UOp.range(UOp.const(dtypes.weakint, 784), 1, AxisType.GLOBAL)
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c3 = UOp.range(UOp.const(dtypes.weakint, 10), 3, AxisType.GLOBAL)
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c4 = UOp.param(1, dtypes.int.ptr(512))
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c5 = c4.index(c1.valid(UOp.const(dtypes.bool, True)))
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c6 = UOp.range(UOp.const(dtypes.weakint, 6000), 1004, AxisType.REDUCE)
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c7 = UOp.range(UOp.const(dtypes.weakint, 3750), 2006, AxisType.REDUCE)
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c8 = UOp.range(UOp.const(dtypes.weakint, 16), 2007, AxisType.GROUP_REDUCE)
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c9 = UOp.param(2, dtypes.uchar.ptr(47040000))
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c10 = c9.index((((c3*UOp.const(dtypes.weakint, 4704000))+c2)+(c6*UOp.const(dtypes.weakint, 784))).valid(UOp.const(dtypes.bool, True)))
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c11 = c5.alu(Ops.CMPNE, ((((c3*UOp.const(dtypes.weakint, 6000))+c6)+((c7*UOp.const(dtypes.weakint, 16))+c8)).alu(Ops.CMPLT, UOp.const(dtypes.weakint, 59999)).where(UOp.const(dtypes.int, 0), UOp.const(dtypes.int, 1)).reduce(c7, c8, arg=Ops.ADD)+UOp.const(dtypes.int, -1))).where(UOp.const(dtypes.uchar, 0), c10).reduce(c6, arg=Ops.ADD)
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c12 = c0.index((((c1*UOp.const(dtypes.weakint, 7840))+(c2*UOp.const(dtypes.weakint, 10)))+c3).valid(UOp.const(dtypes.bool, True))).store(c11).end(c1, c2, c3)
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ast = c12.sink(arg=KernelInfo(name='test', axis_types=(), dont_use_locals=False, applied_opts=(Opt(op=OptOps.GROUP, axis=1, arg=16),), opts_to_apply=None))
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_ = to_program(ast, Device["METAL"].renderer)
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if __name__ == '__main__':
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unittest.main()
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