Usually this type of error is raised if you have some skip connections in the model (or anything similar where you are concatenating activations) and are using an “unsupported” spatial shape for the input.
“Unsupported” means that the model wasn’t designed to work with any arbitrary shape, but often well defined shapes (or at least shapes which are divisible by 2).
E.g. while inputs in the shape [batch_size, 3, 224, 224] might work, the concatenation could fail if you change it to [batch_size, 3, 227, 227] or so.
The error message also points to a mismatch of a single row/column (63 vs 64) so I would recommend to check the input shape and make sure it’s supposed to work.