def _cat_probs(self, log_probs):
    """Get a list of num_components batchwise probabilities."""
    which_softmax = tf.nn.log_softmax if log_probs else tf.nn.softmax
    cat_probs = which_softmax(self.cat.logits)
    cat_probs = tf.unstack(cat_probs, num=self.num_components, axis=-1)
    return cat_probs
def _cat_probs(self, log_probs):
    
    which_softmax = tf.nn.log_softmax if log_probs else tf.nn.softmax
    cat_probs = which_softmax(self.cat.logits)
    cat_probs = tf.unstack(cat_probs, num=self.num_components, axis=-1)
    return cat_probs
def _cat_probs ( self , log_probs ) : which_softmax = tf . nn . log_softmax if log_probs else tf . nn . softmax cat_probs = which_softmax ( self . cat . logits ) cat_probs = tf . unstack ( cat_probs , num = self . num_components , axis = - 1 ) return cat_probs
Get a list of num_components batchwise probabilities.
Get a list of num_components batchwise probabilities .