Input-Target Dimension Mismatch in AutoEncoder

[iSiddharth20]

Here is the Console Output when main.py is run :

Loading Dataset Initiated.
Loading Dataset Completed.
Importing Loss Functions Initiated.
Importing Loss Functions Complete.
AutoEncoder Model Data Initialized.
AutoEncoder Model Initialized.
LSTM Model Data Initialized.
LSTM Model Initialized.
Baseline AutoEncoder Trainer Initialized.
Baseline LSTM Trainer Initialized.
Method-2 AutoEncoder Trainer Initialized.
Method-2 LSTM == Method-1 LSTM
Method-3 AutoEncoder == Method-1 AutoEncoder
Method-3 LSTM Trainer Initialized.
Method-4 AutoEncoder == Method-2 AutoEncoder
Method-4 LSTM == Method-3 LSTM
M1 AutoEncoder Training Start.
M1 AutoEncoder Training Error :
The size of tensor a (608) must match the size of tensor b (600) at non-singleton dimension 2
M1 LSTM Training Start.
M1 LSTM Training Error :
'list' object has no attribute 'shape'
M2 AutoEncoder Training Start.
M2 AutoEncoder Training Error :
The size of tensor a (608) must match the size of tensor b (600) at non-singleton dimension 2
M3 LSTM Training Start.
M3 LSTM Training Error :
'list' object has no attribute 'shape'