def update_weights()

in datasets/MixedPrioritizedSampler.py [0:0]


    def update_weights(self, inds, weights):
        """ Update priority weights """
        if not self.manual_only:
            weights = np.clip(weights, 0, self.init_weight)
            weights = np.power(weights, self.alpha)
            for i, w in zip(inds, weights):
                self.ptree.update(i, w)