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at 113 line in WGAN_GP, I recommend changing the code
alpha = tf.random_uniform(shape=self.inputs.get_shape(), minval=0.,maxval=1.) to alpha = tf.random_uniform(shape=[BATCH_SIZE,1,1,1], minval=0.,maxval=1.)
alpha = tf.random_uniform(shape=self.inputs.get_shape(), minval=0.,maxval=1.)
alpha = tf.random_uniform(shape=[BATCH_SIZE,1,1,1], minval=0.,maxval=1.)
Because It must be created one alpha value for each batch
The text was updated successfully, but these errors were encountered:
You are right. I have the same view.The performance improved after changing thie code.
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I have a question that wheather the bn in Discrimator should be removed?
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at 113 line in WGAN_GP, I recommend changing the code
alpha = tf.random_uniform(shape=self.inputs.get_shape(), minval=0.,maxval=1.)
to
alpha = tf.random_uniform(shape=[BATCH_SIZE,1,1,1], minval=0.,maxval=1.)
Because It must be created one alpha value for each batch
The text was updated successfully, but these errors were encountered: