I tried to implement this VAE example using PyTorch: https://github.com/pytorch/examples/blob/master/vae/main.py 400 All the parameters were left as default.
But the “learned” autoencoder is not meaningful. It produces a blurred image looks like the mean of the MNIST training set regardless of the input. Please help me figure out what went wrong during training. Thank you!

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