forked from tinygrad/tinygrad
improve cast to unsign min_max [pr] (#17078)
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@@ -127,6 +127,13 @@ class TestVminVmaxProperties(unittest.TestCase):
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self.assertEqual(x.vmin, 0)
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self.assertEqual(x.vmax, 10 >> 2)
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def test_vmin_vmax_cast_unsigned(self):
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# a fitting source keeps exact bounds: no wrap can occur
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self.assertEqual(UOp.variable('x', 5, 10).cast(dtypes.uint8)._min_max, (5, 10))
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# a possibly-negative or too-large source can wrap: conservative
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self.assertEqual(UOp.variable('x', -1, 10).cast(dtypes.uint8)._min_max, (0, 255))
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self.assertEqual(UOp.variable('x', 250, 260).cast(dtypes.uint8)._min_max, (0, 255))
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def test_vmin_vmax_xor_neg1(self):
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x = UOp.variable('x', 3, 7)
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uop = x ^ -1
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+6
-3
@@ -1029,9 +1029,12 @@ class UOp(RandMixin, metaclass=UOpMetaClass):
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if self.op is Ops.STACK: return min(x.vmin for x in self.src), max(x.vmax for x in self.src)
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if self.op is Ops.CONST and self.arg is not Invalid: return self.arg, self.arg
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if self.op is Ops.INDEX: return self.src[0]._min_max
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# TODO: CAST to bool/unsigned is not monotone, still some case can be simplified
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if self.op is Ops.CAST and self.dtype in dtypes.floats+dtypes.sints+(dtypes.index,):
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return max(self.dtype.min, self.src[0].vmin), min(self.src[0].vmax, self.dtype.max)
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if self.op is Ops.CAST:
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# a cast to unsigned keeps exact bounds when the source fits
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# TODO: can do more based on new dtype window
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if dtypes.is_unsigned(self.dtype) and 0 <= self.src[0].vmin and self.src[0].vmax <= self.dtype.max: return self.src[0]._min_max
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if self.dtype in dtypes.floats+dtypes.sints+(dtypes.index,):
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return max(self.dtype.min, self.src[0].vmin), min(self.src[0].vmax, self.dtype.max)
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return self.dtype.min, self.dtype.max
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@functools.cached_property
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