[Zero-Dim] support input 0D Tensor for distribution transform api #47677
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你的PR提交成功，感谢你对开源项目的贡献! |
zhwesky2010
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cxxly
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Nov 8, 2022
| raise ValueError( | ||
| f"The numel of 'in_event_shape' should be 'out_event_shape', " | ||
| f"but got {functools.reduce(operator.mul, in_event_shape)}!={functools.reduce(operator.mul, out_event_shape)}" | ||
| f"but got {in_size}!={out_size}" |
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0D Tensor的shape为[]，numel为1，用functools.reduce无法实现，会报空列表的错误，所以就自行实现了
cxxly
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Nov 8, 2022
| if shape[-len(self._in_event_shape) :] != self._in_event_shape: | ||
| if list(shape[-len(self._in_event_shape) :]) != list( | ||
| self._in_event_shape | ||
| ): |
cxxly
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Nov 8, 2022
| if shape[-len(self._out_event_shape) :] != self._out_event_shape: | ||
| if list(shape[-len(self._out_event_shape) :]) != list( | ||
| self._out_event_shape | ||
| ): | ||
| raise ValueError( |
zhwesky2010
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iclementine
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| # original patching object as well as re-constrfucted patches. | ||
| delete_patches_if_need(f) | ||
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| f.__test__ = False |
iclementine
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Nov 8, 2022
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PR types
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APIs
Describe
为Distribution Transform类API支持输入0D Tensor，如下：