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Random initialization of generator hiddens, and rework all hidden generation
Separation of model and loss. Rewrite the training function.
Generator PG loss runs the generator again
Removal of oracle loss for surpervised loss. Any oracle call removed
batchPGLoss was written by iterating over each individual tensor element with no vectorized operation. Fixed
Dataloader and packed/padded variable length tensor
Console output cleanup
Loss implemented as a model
In discriminator, GRU output used, not hidden.