forked from tinygrad/tinygrad
user ceildiv in shard and fix a typo (#7690)
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+2
-2
@@ -366,7 +366,7 @@ class Tensor(SimpleMathTrait): # pylint: disable=abstract-method
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if axis < 0: axis += len(self.shape)
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if splits is None:
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if not isinstance(total:=self.shape[axis], int): raise RuntimeError(f"cannot shard symbolic shape {self.shape=}, {axis=}")
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sz = round_up(total, len(devices)) // len(devices)
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sz = ceildiv(total, len(devices))
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splits = tuple([max(0, min(sz, total - sz*i)) for i in range(len(devices))])
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assert sum(splits) == self.shape[axis], "specified splits do not sum up to axis shape"
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boundaries = tuple(itertools.accumulate(splits))
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@@ -981,7 +981,7 @@ class Tensor(SimpleMathTrait): # pylint: disable=abstract-method
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```
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"""
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axis_arg = tuple(self._resolve_dim(x) for x in argfix(axis, *args))
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if len(axis_arg) != len(dedup(axis_arg)): raise RuntimeError(f"dim can appear at least once, getting {axis_arg}")
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if len(axis_arg) != len(dedup(axis_arg)): raise RuntimeError(f"dim can appear at most once, getting {axis_arg}")
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return F.Flip.apply(self, axis=axis_arg)
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def shrink(self, arg:Tuple[Optional[Tuple[sint, sint]], ...]) -> Tensor:
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