Comments (1)
Why is this "tied embedding weight" special? I'm not sure why the PR breaks the test because, internally, we just use named_children
+ named_parameters
+ named_buffers
to get the parameters and names. Would be helpful to understand how the parameter is different from the other parameters (from the module traversal perspective).
from pytorch.
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from pytorch.