Modularizing encoder/decoder in Autoencoder class #10
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This PR must be rebased and merged after PR #9 .
Using DistributedDataParallel for data parallelism requires access to encoder and decoder as a
torch.nn.Module. CurrentAutoencoderclass provideencoderanddecoderas member functions, thoughDistributedDataParallelcannot use custom member functions exceptforward.lasdi.latent_space.MultiLayerPerceptronis now provided as a distinct module for a vanilla MLP.lasdi.latent_space.Autoencodersimply contains twoMultiLayerPerceptrons as encoder and decoder.