sweetcocoa commented on code in PR #16199:
URL: https://github.com/apache/tvm/pull/16199#discussion_r1418483318
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tests/python/frontend/pytorch/test_forward.py:
##########
@@ -720,9 +720,27 @@ def forward(self, *args):
c = (args[0][:, :, 2] + 5) * 13
return torch.cat([t.unsqueeze(2) for t in [a, b, c]], 2)
+ class Concatenate3(Module):
+ # pylint: disable=missing-class-docstring
+ def __init__(self):
+ super().__init__()
+
+ class _Concatenate(Module):
+ def forward(self, *args):
+ a = (args[0][:, :, 0] + 2) * 7
+ b = (args[0][:, :, 1] + 3) * 11
+ c = (args[0][:, :, 2] + 5) * 13
+ return torch.concat([t.unsqueeze(2) for t in [a, b, c]], 2)
+
+ self.mod = _Concatenate()
+
+ def forward(self, *args):
+ return self.mod(*args)
+
Review Comment:
@echuraev
The `torch.concat` is preserved as `aten::concat` only when it is in a
nested module like this code. (In the most cases, It is converted to
`aten::cat` instead of `aten::concat`.) I've tried to find a reason for this,
but haven't found one.
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