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When I run test_aenet.py, an error occurred.
After debugging, I found that the size of test_lbs and z in models.py are inconsistent. The size of test_lbs is (50, 256, 256, 1), but the size of z is (800, 64, 64, 1). As show in two pictures.
I would like to ask how to sovle it.
The text was updated successfully, but these errors were encountered:
Hello, your code is written very well, but because there is no pre-training model of the autoencoder, when I was training the model, the loss remained at around 0.49 in the end. Is it because of the pre-training model?
Thanks for sharing this excellent code.
When I run test_aenet.py, an error occurred.
After debugging, I found that the size of test_lbs and z in models.py are inconsistent. The size of test_lbs is (50, 256, 256, 1), but the size of z is (800, 64, 64, 1). As show in two pictures.
I would like to ask how to sovle it.
The text was updated successfully, but these errors were encountered: