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| class WeightedBatchSampler(Sampler): | |
| def __init__(self, n_elems, batch_size, | |
| initial_p=None, epoch_p_reset=False): | |
| self.n_elems = n_elems | |
| self.batch_size = batch_size | |
| self.epoch_p_reset = epoch_p_reset | |
| self.n_batches = math.ceil(self.n_elems / self.batch_size) | |
| if initial_p is None: |