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Thanks for your great work! I can't figure out the difference between variable (z_ q_ x_ st) and variable (z_q_x) in forward() of class VectorQuantizedVAE.
I debug the code but find that both (z_q_x_st) and (z_q_x) need gradient and (z_q_x_st == z_q_x) check is always true.
Does anyone know their difference?
The text was updated successfully, but these errors were encountered:
By the way, according to paper Neural Discrete Representation Learning, it's better to change x_tilde as following if there is no difference between (z_q_x_st) and (z_q_x):
Thanks for your great work! I can't figure out the difference between variable (z_ q_ x_ st) and variable (z_q_x) in forward() of class VectorQuantizedVAE.
I debug the code but find that both (z_q_x_st) and (z_q_x) need gradient and (z_q_x_st == z_q_x) check is always true.
Does anyone know their difference?
The text was updated successfully, but these errors were encountered: