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Hello! I have tried to replicate the training on the MIRFlickr dataset, but I have received the following error:
ValueError: Dimension 3 in both shapes must be equal, but are 3 and 4. Shapes are [?,256,256,3] and [?,?,?,4]. Which is triggered in line 75 in network.py. Do you have any hints to how to overcome this problem?
The text was updated successfully, but these errors were encountered:
Hello! I have tried to replicate the training on the MIRFlickr dataset, but I have received the following error:
ValueError: Dimension 3 in both shapes must be equal, but are 3 and 4. Shapes are [?,256,256,3] and [?,?,?,4]. Which is triggered in line 75 in network.py. Do you have any hints to how to overcome this problem?
The text was updated successfully, but these errors were encountered: