def get_dim(self, name):
        if ['weighted_averages'] in name:
            return self.attended_dim
        if name in ['weights', 'energies', 'step']:
            return 0
        return super(SequenceContentAndConvAttention, self).get_dim(name)
dataset/ETHPy150Open rizar/attention-lvcsr/lvsr/bricks/attention.py/SequenceContentAndConvAttention.get_dim/swapped operands of `in`