backup/models.py [184:201]:
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        inp_len_sorted, idx_sort = np.sort(dial_length)[::-1], np.argsort(-dial_length)
        inp_len_sorted = inp_len_sorted.copy()
        idx_unsort = np.argsort(idx_sort)

        idx_sort = torch.from_numpy(idx_sort).to(dials.device)
        dials = dials.index_select(0, idx_sort)
        inp_len_sorted_nonzero_idx = np.nonzero(inp_len_sorted)[0]
        inp_len_sorted_nonzero_idx = torch.from_numpy(inp_len_sorted_nonzero_idx).to(
            dials.device
        )
        inp_len_sorted = torch.from_numpy(inp_len_sorted).to(dials.device)
        non_zero_data = dials.index_select(0, inp_len_sorted_nonzero_idx)
        data_pack = pack_padded_sequence(
            non_zero_data, inp_len_sorted[inp_len_sorted_nonzero_idx], batch_first=True
        )
        outp, hidden_rep = self.lstm(data_pack)
        outp, _ = pad_packed_sequence(outp, batch_first=True)
        outp = outp.contiguous()
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codes/models.py [251:269]:
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        inp_len_sorted, idx_sort = np.sort(dial_length)[::-1], np.argsort(-dial_length)
        inp_len_sorted = inp_len_sorted.copy()
        idx_unsort = np.argsort(idx_sort)

        idx_sort = torch.from_numpy(idx_sort).to(dials.device)
        dials = dials.index_select(0, idx_sort)
        inp_len_sorted_nonzero_idx = np.nonzero(inp_len_sorted)[0]
        inp_len_sorted_nonzero_idx = torch.from_numpy(inp_len_sorted_nonzero_idx).to(
            dials.device
        )
        inp_len_sorted = torch.from_numpy(inp_len_sorted).to(dials.device)
        non_zero_data = dials.index_select(0, inp_len_sorted_nonzero_idx)
        data_pack = pack_padded_sequence(
            non_zero_data, inp_len_sorted[inp_len_sorted_nonzero_idx], batch_first=True
        )
        # import ipdb; ipdb.set_trace()
        outp, hidden_rep = self.lstm(data_pack)
        outp, _ = pad_packed_sequence(outp, batch_first=True)
        outp = outp.contiguous()
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