Question about quantizer

[hulilin666]

Hello, I noticed that in the quantization process you use the operation w_bar = tf.round(tf.stop_gradient(w_hard - w_soft) + w_soft). However, tf.round is a non-differentiable operation, which will prevent the gradients from being backpropagated to the encoder part, resulting in the encoder parameters not being updated throughout the training process. I believe the correct operation should be w_bar = tf.stop_gradient(w_hard - w_soft) + w_soft.