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steps_increment = tf.shape(vector_input)[0] |
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total_new_steps = tf.add(self.normalization_steps, steps_increment) |
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# Needed to fix tensorflow's inability to cast |
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unref_norm_steps = tf.cast(tf.identity(self.normalization_steps), tf.float32) |
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unref_norm_step_inc = tf.cast(steps_increment, tf.float32) |
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new_mean = ( |
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Ervin Teng