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26 lines
1.4 KiB
Python
26 lines
1.4 KiB
Python
# ruff: noqa: E501
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import unittest
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from tinygrad.uop.ops import UOp, Ops, AxisType, KernelInfo
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from tinygrad.dtype import dtypes
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from tinygrad.device import Device
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from tinygrad.codegen import to_program
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class TestLinearizerFailures(unittest.TestCase):
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def test_fail_1(self):
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c0 = UOp.param(0, dtypes.float.ptr(64))
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c1 = UOp.range(UOp.const(dtypes.weakint, 2), 1, AxisType.LOOP)
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c2 = UOp.range(UOp.const(dtypes.weakint, 32), 2, AxisType.LOOP)
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c3 = ((c1*UOp.const(dtypes.weakint, 32))+c2)
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c4 = UOp.param(1, dtypes.float.ptr(163840))
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c5 = UOp.range(UOp.const(dtypes.weakint, 2560), 0, AxisType.REDUCE)
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c6 = c4.index(((((((c5//UOp.const(dtypes.weakint, 8))%UOp.const(dtypes.weakint, 8))*UOp.const(dtypes.weakint, 8))+(c5%UOp.const(dtypes.weakint, 8)))+(((c2*UOp.const(dtypes.weakint, 40))+(c5//UOp.const(dtypes.weakint, 64)))*UOp.const(dtypes.weakint, 64)))+(c1*UOp.const(dtypes.weakint, 81920))))
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c7 = UOp.param(2, dtypes.float.ptr(64))
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c8 = c7.index(c3)
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c9 = ((((c6+(c8*UOp.const(dtypes.float, -1.0)))*(c6+(c8*UOp.const(dtypes.float, -1.0)))).reduce(c5, arg=Ops.ADD)*UOp.const(dtypes.float, 0.000390625))+UOp.const(dtypes.float, 1e-05)).sqrt().reciprocal()
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c10 = c0.index(c3).store(c9).end(c1, c2)
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ast = c10.sink(arg=KernelInfo())
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to_program(ast, renderer=Device[Device.DEFAULT].renderer)
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if __name__ == '__main__':
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unittest.main()
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