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s4sarath
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I wonder if the reconstr_loss calculated in variational_model.py in line 174: `self.reconstr_loss = -tf.reduce_sum(tf.mul(logits, self.X), 1)` should modify to: `self.reconstr_loss = -tf.reduce_sum(tf.mul(logits, self.mask_xs), 1)` just as you said in blog(https://s4sarath.github.io/2016/11/23/variational_autoenocder_for_Natural_Language_Processing)...
