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When a set of non-uniform images is used as input, the batch_size is automatically set to 1 since isn't possible to stack them, however, BatchNorm layers as those used in UperNetDecoder fail for batch_size = 1.
The text was updated successfully, but these errors were encountered:
When a set of non-uniform images is used as input, the batch_size is automatically set to 1 since isn't possible to stack them, however, BatchNorm layers as those used in UperNetDecoder fail for batch_size = 1.
The text was updated successfully, but these errors were encountered: