[Relay][Frontend][Torch] fix pytorch frontend not support logical or #16400
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taomiao
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python/tvm/relay/frontend/pytorch.py
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| @@ -4237,7 +4243,9 @@ def create_convert_map(self): | |||
| "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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masahi
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add logical_or op to relay pytorch frontend. #16399