[Relay][Frontend][Torch] fix pytorch frontend not support logical or#16400
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masahi merged 1 commit intoapache:mainfrom Jan 16, 2024
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Thank you for submitting the PR. The logical_or looks good, I have doubts about the __or__ .
| "torchvision::deform_conv2d": self.deform_conv2d, | ||
| "aten::unbind": self.unbind, | ||
| "aten::__and__": self.logical_and, | ||
| "aten::__or__": self.logical_or, |
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I'm afraid this is not tested and also not quite right.
While torch.logical_or(torch.tensor(2), torch.tensor(1)) gives tensor(True),
torch.ops.aten.__or__(torch.tensor(2), torch.tensor(1)) gives tensor(3)
(and torch.tensor(2) or torch.tensor(1)) gives tensor(2), so it is different yet)
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Ok, I removed aten::__or__ from the convert_map.
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Thank you. Seems good to me now.
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add logical_or op to relay pytorch frontend. #16399