NCA-GENM Exam Dumps | Consider the following PyTorch code snippet intended for training a variational autoencoder (VAE): (Exhibit)

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Question 33/192

Consider the following PyTorch code snippet intended for training a variational autoencoder (VAE):

What potential issue(s) exist(s) in this code, and how would you address them?

A. The binary cross-entropy (BCE) loss doesn't account for pixel values outside the range [0, 1]; normalize the input images to this range.

B. The Kullback-Leibler divergence (KLD) term isn't scaled appropriately for the batch size; divide it by the batch size to get a mean KLD loss.

C. The BCE loss is summed across all pixels; average it by dividing by the total number of pixels in the input.

D. The KLD calculation is incorrect; it should be 0.5 torch.sum(mu.pow(2) + logvar - 1 - logvar.exp()).

E. All of the above.

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